diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 5ba15d4f..a61f0e4f 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -41,7 +41,10 @@ jobs:
       fail-fast: true
       matrix:
         os: [ "ubuntu-latest", "macos-latest" ]
-        python-version: [ "3.8", "3.9", "3.10", "3.11" ]
+        python-version: [ "3.9", "3.10", "3.11" ]
+    defaults:
+      run:
+        shell: bash
     runs-on: ${{ matrix.os }}
     steps:
       #----------------------------------------------
@@ -99,7 +102,7 @@ jobs:
       #----------------------------------------------
       - name: Run tests
         run: |
-          source .venv/bin/activate
+          source $VENV
           coverage run -m unittest discover -s tests
 #      #----------------------------------------------
 #      #             upload coverage stats
diff --git a/README.md b/README.md
index e3a987dd..f2ee2a15 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,6 @@ Features:
 The following algorithm connects to binance and buys BTC every 5 seconds. It also exposes an REST API that allows you to interact with the algorithm.
 
 ```python
-import logging
 import logging.config
 
 from investing_algorithm_framework import create_app, PortfolioConfiguration, \
@@ -61,7 +60,6 @@ bitvavo_btc_eur_ticker = CCXTTickerMarketDataSource(
     symbol="BTC/EUR",
 )
 app = create_app()
-algorithm = Algorithm()
 # Bitvavo market credentials are read from .env file
 app.add_market_credential(MarketCredential(market="bitvavo"))
 app.add_portfolio_configuration(
@@ -71,10 +69,9 @@ app.add_portfolio_configuration(
         initial_balance=400
     )
 )
-app.add_algorithm(algorithm)
 
 # Run every two hours and register the data sources
-@algorithm.strategy(
+@app.strategy(
     time_unit=TimeUnit.HOUR,
     interval=2,
     market_data_sources=[bitvavo_btc_eur_ticker, bitvavo_btc_eur_ohlcv_2h]
@@ -82,7 +79,6 @@ app.add_algorithm(algorithm)
 def perform_strategy(algorithm: Algorithm, market_data: dict):
     # Access the data sources with the indentifier
     polars_df = market_data["BTC-ohlcv"]
-
     # Convert the polars dataframe to a pandas dataframe
     pandas_df = polars_df.to_pandas()
     ticker_data = market_data["BTC-ticker"]
@@ -93,18 +89,21 @@ def perform_strategy(algorithm: Algorithm, market_data: dict):
     closed_trades = algorithm.get_closed_trades()
 
     # Create a buy oder
-    algorithm.create_limit_order(
+    order = algorithm.create_limit_order(
         target_symbol="BTC/EUR",
         order_side="buy",
         amount=0.01,
         price=ticker_data["ask"],
     )
+    trade = algorithm.get_trade(order_id=order.id)
+    algorithm.add_trailing_stop_loss(trade=trade, percentage=5)
 
     # Close a trade
-    algorithm.close_trade(trades[0].id)
+    algorithm.close_trade(trade=trade)
 
     # Close a position
-    algorithm.close_position(positions[0].get_symbol())
+    position = algorithm.get_position(symbol="BTC/EUR")
+    algorithm.close_position(position)
 
 if __name__ == "__main__":
     app.run()
@@ -116,7 +115,14 @@ if __name__ == "__main__":
 
 The framework also supports backtesting and performing backtest experiments. After a backtest, you can print a report that shows the performance of your trading bot.
 
-To run a single backtest you can use the example code that can be found [here](./examples/backtest).
+To run a single backtest you can use the example code that can be found [here](./examples/backtest_example). Simply run:
+
+> Its assumed here that you have cloned the repository, installed the framework and
+> are in the root of the project.
+
+```bash
+python examples/backtest_example/run_backtest.py
+```
 
 ### Backtesting report
 
diff --git a/examples/app.py b/examples/app.py
deleted file mode 100644
index ee2d1cbd..00000000
--- a/examples/app.py
+++ /dev/null
@@ -1,49 +0,0 @@
-from dotenv import load_dotenv
-
-from investing_algorithm_framework import create_app, PortfolioConfiguration, \
-    TimeUnit, CCXTOHLCVMarketDataSource, Algorithm, \
-    CCXTTickerMarketDataSource, MarketCredential, AzureBlobStorageStateHandler
-
-load_dotenv()
-
-# Define market data sources
-# OHLCV data for candles
-bitvavo_btc_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
-    identifier="BTC-ohlcv",
-    market="BITVAVO",
-    symbol="BTC/EUR",
-    time_frame="2h",
-    window_size=200
-)
-# Ticker data for orders, trades and positions
-bitvavo_btc_eur_ticker = CCXTTickerMarketDataSource(
-    identifier="BTC-ticker",
-    market="BITVAVO",
-    symbol="BTC/EUR",
-)
-app = create_app(state_handler=AzureBlobStorageStateHandler())
-app.add_market_data_source(bitvavo_btc_eur_ohlcv_2h)
-algorithm = Algorithm()
-app.add_market_credential(MarketCredential(market="bitvavo"))
-app.add_portfolio_configuration(
-    PortfolioConfiguration(
-        market="bitvavo",
-        trading_symbol="EUR",
-        initial_balance=20
-    )
-)
-app.add_algorithm(algorithm)
-
-@algorithm.strategy(
-    # Run every two hours
-    time_unit=TimeUnit.HOUR,
-    interval=2,
-    # Specify market data sources that need to be passed to the strategy
-    market_data_sources=[bitvavo_btc_eur_ticker, "BTC-ohlcv"]
-)
-def perform_strategy(algorithm: Algorithm, market_data: dict):
-    # By default, ohlcv data is passed as polars df in the form of
-    # {"<identifier>": <dataframe>}  https://pola.rs/,
-    # call to_pandas() to convert to pandas
-    polars_df = market_data["BTC-ohlcv"]
-    print(f"I have access to {len(polars_df)} candles of ohlcv data")
diff --git a/examples/backtest_example/__init__.py b/examples/backtest_example/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/backtest_example/algorithm/__init__.py b/examples/backtest_example/algorithm/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/backtest_example/algorithm/algorithm.py b/examples/backtest_example/algorithm/algorithm.py
deleted file mode 100644
index 6c9caa3c..00000000
--- a/examples/backtest_example/algorithm/algorithm.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from investing_algorithm_framework import Algorithm
-from .strategy import CrossOverStrategy
-
-algorithm = Algorithm()
-algorithm.add_strategy(CrossOverStrategy)
diff --git a/examples/backtest_example/algorithm/data_sources.py b/examples/backtest_example/algorithm/data_sources.py
deleted file mode 100644
index 04243040..00000000
--- a/examples/backtest_example/algorithm/data_sources.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from investing_algorithm_framework import CCXTOHLCVMarketDataSource, \
-    CCXTTickerMarketDataSource
-
-
-bitvavo_btc_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
-    identifier="BTC/EUR-ohlcv",
-    market="BINANCE",
-    symbol="BTC/EUR",
-    timeframe="2h",
-    window_size=200
-)
-bitvavo_dot_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
-    identifier="DOT/EUR-ohlcv",
-    market="BINANCE",
-    symbol="DOT/EUR",
-    timeframe="2h",
-    window_size=200
-)
-bitvavo_dot_eur_ticker = CCXTTickerMarketDataSource(
-    identifier="DOT/EUR-ticker",
-    market="BINANCE",
-    symbol="DOT/EUR",
-    backtest_timeframe="2h",
-)
-bitvavo_btc_eur_ticker = CCXTTickerMarketDataSource(
-    identifier="BTC/EUR-ticker",
-    market="BINANCE",
-    symbol="BTC/EUR",
-    backtest_timeframe="2h",
-)
diff --git a/examples/backtest_example/algorithm/strategy.py b/examples/backtest_example/algorithm/strategy.py
deleted file mode 100644
index d98c6500..00000000
--- a/examples/backtest_example/algorithm/strategy.py
+++ /dev/null
@@ -1,108 +0,0 @@
-import tulipy as ti
-
-from investing_algorithm_framework import TimeUnit, TradingStrategy, \
-    Algorithm, OrderSide
-from .data_sources import bitvavo_btc_eur_ohlcv_2h, bitvavo_btc_eur_ticker, \
-    bitvavo_dot_eur_ticker, bitvavo_dot_eur_ohlcv_2h
-
-"""
-This strategy is based on the golden cross strategy. It will buy when the
-fast moving average crosses the slow moving average from below. It will sell
-when the fast moving average crosses the slow moving average from above.
-The strategy will also check if the fast moving average is above the trend 
-moving average. If it is not above the trend moving average it will not buy. 
-
-It uses tulipy indicators to calculate the metrics. You need to 
-install this library in your environment to run this strategy.
-You can find instructions on how to install tulipy here:
-https://tulipindicators.org/ or go directly to the pypi page:
-https://pypi.org/project/tulipy/
-"""
-
-
-def is_below_trend(fast_series, slow_series):
-    return fast_series[-1] < slow_series[-1]
-
-
-def is_above_trend(fast_series, slow_series):
-    return fast_series[-1] > slow_series[-1]
-
-
-def is_crossover(fast, slow):
-    """
-    Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-    With the given date time it will check if the ma_<period_one> is a
-    crossover with the ma_<period_two>
-    """
-    return fast[-2] <= slow[-2] and fast[-1] > slow[-1]
-
-
-def is_crossunder(fast, slow):
-    """
-    Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-    With the given date time it will check if the ma_<period_one> is a
-    crossover with the ma_<period_two>
-    """
-    return fast[-2] >= slow[-2] and fast[-1] < slow[-1]
-
-
-class CrossOverStrategy(TradingStrategy):
-    time_unit = TimeUnit.HOUR
-    interval = 2
-    market_data_sources = [
-        bitvavo_dot_eur_ticker,
-        bitvavo_btc_eur_ticker,
-        bitvavo_dot_eur_ohlcv_2h,
-        bitvavo_btc_eur_ohlcv_2h
-    ]
-    symbols = ["BTC/EUR", "DOT/EUR"]
-    fast = 21
-    slow = 75
-    trend = 150
-    stop_loss_percentage = 7
-
-    def apply_strategy(self, algorithm: Algorithm, market_data):
-
-        for symbol in self.symbols:
-            target_symbol = symbol.split('/')[0]
-
-            if algorithm.has_open_orders(target_symbol):
-                continue
-
-            df = market_data[f"{symbol}-ohlcv"]
-            ticker_data = market_data[f"{symbol}-ticker"]
-            fast = ti.sma(df['Close'].to_numpy(), self.fast)
-            slow = ti.sma(df['Close'].to_numpy(), self.slow)
-            trend = ti.sma(df['Close'].to_numpy(), self.trend)
-            price = ticker_data["bid"]
-
-            if not algorithm.has_position(target_symbol) \
-                    and is_crossover(fast, slow) \
-                    and is_above_trend(fast, trend):
-                algorithm.create_limit_order(
-                    target_symbol=target_symbol,
-                    order_side=OrderSide.BUY,
-                    price=price,
-                    percentage_of_portfolio=25,
-                    precision=4,
-                )
-
-            if algorithm.has_position(target_symbol) \
-                    and is_below_trend(fast, slow):
-                open_trades = algorithm.get_open_trades(
-                    target_symbol=target_symbol
-                )
-
-                for trade in open_trades:
-                    algorithm.close_trade(trade)
-
-            # Checking manual stop losses
-            open_trades = algorithm.get_open_trades(target_symbol)
-
-            for open_trade in open_trades:
-                if open_trade.is_manual_stop_loss_trigger(
-                    ohlcv_df=df,
-                    current_price=market_data[f"{symbol}-ticker"]["bid"],
-                    stop_loss_percentage=self.stop_loss_percentage
-                ):
-                    algorithm.close_trade(open_trade)
diff --git a/examples/backtest_example/app.py b/examples/backtest_example/app.py
deleted file mode 100644
index 2214545b..00000000
--- a/examples/backtest_example/app.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import pathlib
-
-from investing_algorithm_framework import create_app, RESOURCE_DIRECTORY
-
-app = create_app(
-    config={RESOURCE_DIRECTORY: pathlib.Path(__file__).parent.resolve()}
-)
-
-
-if __name__ == "__main__":
-    app.run()
diff --git a/examples/backtest_example/run_backtest.py b/examples/backtest_example/run_backtest.py
index 1d1f5cb8..67edff1d 100644
--- a/examples/backtest_example/run_backtest.py
+++ b/examples/backtest_example/run_backtest.py
@@ -1,19 +1,150 @@
+import logging.config
 from datetime import datetime, timedelta
 
-from algorithm.algorithm import algorithm
-from algorithm.data_sources import bitvavo_btc_eur_ohlcv_2h, \
-    bitvavo_dot_eur_ohlcv_2h, bitvavo_dot_eur_ticker, bitvavo_btc_eur_ticker
-from app import app
-from investing_algorithm_framework import PortfolioConfiguration, \
-    pretty_print_backtest, BacktestDateRange
 
+from investing_algorithm_framework import CCXTOHLCVMarketDataSource, \
+    CCXTTickerMarketDataSource, Algorithm, PortfolioConfiguration, \
+    create_app, pretty_print_backtest, BacktestDateRange, TimeUnit, \
+    TradingStrategy, OrderSide, DEFAULT_LOGGING_CONFIG
+
+import tulipy as ti
+
+logging.config.dictConfig(DEFAULT_LOGGING_CONFIG)
+
+
+"""
+This strategy is based on the golden cross strategy. It will buy when the
+fast moving average crosses the slow moving average from below. It will sell
+when the fast moving average crosses the slow moving average from above.
+The strategy will also check if the fast moving average is above the trend
+moving average. If it is not above the trend moving average it will not buy.
+
+It uses tulipy indicators to calculate the metrics. You need to
+install this library in your environment to run this strategy.
+You can find instructions on how to install tulipy here:
+https://tulipindicators.org/ or go directly to the pypi page:
+https://pypi.org/project/tulipy/
+"""
+
+bitvavo_btc_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
+    identifier="BTC/EUR-ohlcv",
+    market="BINANCE",
+    symbol="BTC/EUR",
+    time_frame="2h",
+    window_size=200
+)
+bitvavo_dot_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
+    identifier="DOT/EUR-ohlcv",
+    market="BINANCE",
+    symbol="DOT/EUR",
+    time_frame="2h",
+    window_size=200
+)
+bitvavo_dot_eur_ticker = CCXTTickerMarketDataSource(
+    identifier="DOT/EUR-ticker",
+    market="BINANCE",
+    symbol="DOT/EUR",
+    backtest_time_frame="2h",
+)
+bitvavo_btc_eur_ticker = CCXTTickerMarketDataSource(
+    identifier="BTC/EUR-ticker",
+    market="BINANCE",
+    symbol="BTC/EUR",
+    backtest_time_frame="2h",
+)
+
+
+def is_below_trend(fast_series, slow_series):
+    return fast_series[-1] < slow_series[-1]
+
+
+def is_above_trend(fast_series, slow_series):
+    return fast_series[-1] > slow_series[-1]
+
+
+def is_crossover(fast, slow):
+    """
+    Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
+    With the given date time it will check if the ma_<period_one> is a
+    crossover with the ma_<period_two>
+    """
+    return fast[-2] <= slow[-2] and fast[-1] > slow[-1]
+
+
+def is_crossunder(fast, slow):
+    """
+    Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
+    With the given date time it will check if the ma_<period_one> is a
+    crossover with the ma_<period_two>
+    """
+    return fast[-2] >= slow[-2] and fast[-1] < slow[-1]
+
+
+class CrossOverStrategy(TradingStrategy):
+    time_unit = TimeUnit.HOUR
+    interval = 2
+    market_data_sources = [
+        bitvavo_dot_eur_ticker,
+        bitvavo_btc_eur_ticker,
+        bitvavo_dot_eur_ohlcv_2h,
+        bitvavo_btc_eur_ohlcv_2h
+    ]
+    symbols = ["BTC/EUR", "DOT/EUR"]
+    fast = 21
+    slow = 75
+    trend = 150
+    stop_loss_percentage = 7
+
+    def apply_strategy(self, algorithm: Algorithm, market_data):
+
+        for symbol in self.symbols:
+            target_symbol = symbol.split('/')[0]
+
+            if algorithm.has_open_orders(target_symbol):
+                continue
+
+            df = market_data[f"{symbol}-ohlcv"]
+            ticker_data = market_data[f"{symbol}-ticker"]
+            fast = ti.sma(df['Close'].to_numpy(), self.fast)
+            slow = ti.sma(df['Close'].to_numpy(), self.slow)
+            trend = ti.sma(df['Close'].to_numpy(), self.trend)
+            price = ticker_data["bid"]
+
+            if not algorithm.has_position(target_symbol) \
+                    and is_crossover(fast, slow) \
+                    and is_above_trend(fast, trend):
+                order = algorithm.create_limit_order(
+                    target_symbol=target_symbol,
+                    order_side=OrderSide.BUY,
+                    price=price,
+                    percentage_of_portfolio=25,
+                    precision=4,
+                )
+                trade = algorithm.get_trade(order_id=order.id)
+                algorithm.add_trailing_stop_loss(
+                    trade=trade, percentage=5
+                )
+
+
+            if algorithm.has_position(target_symbol) \
+                    and is_below_trend(fast, slow):
+                open_trades = algorithm.get_open_trades(
+                    target_symbol=target_symbol
+                )
+
+                for trade in open_trades:
+                    algorithm.close_trade(trade)
+
+
+app = create_app()
+algorithm = Algorithm("GoldenCrossStrategy")
+algorithm.add_strategy(CrossOverStrategy)
 app.add_algorithm(algorithm)
 app.add_market_data_source(bitvavo_btc_eur_ohlcv_2h)
 app.add_market_data_source(bitvavo_dot_eur_ohlcv_2h)
 app.add_market_data_source(bitvavo_btc_eur_ticker)
 app.add_market_data_source(bitvavo_dot_eur_ticker)
 
-
 # Add a portfolio configuration of 400 euro initial balance
 app.add_portfolio_configuration(
     PortfolioConfiguration(
diff --git a/examples/backtests_example/__init__.py b/examples/backtests_example/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/backtests_example/algorithms/__init__.py b/examples/backtests_example/algorithms/__init__.py
deleted file mode 100644
index d6a1b27d..00000000
--- a/examples/backtests_example/algorithms/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from .challenger import create_algorithm as create_challenger_algorithm
-from .primary import create_algorithm as create_primary_algorithm
-
-
-__all__ = ["create_challenger_algorithm", "create_primary_algorithm"]
diff --git a/examples/backtests_example/algorithms/challenger.py b/examples/backtests_example/algorithms/challenger.py
deleted file mode 100644
index 70a86a9d..00000000
--- a/examples/backtests_example/algorithms/challenger.py
+++ /dev/null
@@ -1,148 +0,0 @@
-import tulipy as tp
-import numpy as np
-
-from investing_algorithm_framework import Algorithm, TradingStrategy, \
-    TimeUnit, OrderSide, CCXTOHLCVMarketDataSource, CCXTTickerMarketDataSource
-
-
-btc_eur_ohlcv_2h_data = CCXTOHLCVMarketDataSource(
-    identifier="BTC/EUR_ohlcv_2h",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    timeframe="2h",
-    window_size=200,
-)
-
-btc_eur_ticker_data = CCXTTickerMarketDataSource(
-    identifier="BTC/EUR_ticker",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    backtest_timeframe="2h"
-)
-
-
-def is_below_trend(fast_series, slow_series):
-    return fast_series[-1] < slow_series[-1]
-
-
-def is_above_trend(fast_series, slow_series):
-    return fast_series[-1] > slow_series[-1]
-
-
-class Strategy(TradingStrategy):
-    time_unit = TimeUnit.HOUR
-    interval = 2
-    market_data_sources = [
-        btc_eur_ohlcv_2h_data,
-        btc_eur_ticker_data
-    ]
-    symbols = ["BTC/EUR"]
-
-    def __init__(
-        self,
-        short_period,
-        long_period,
-        rsi_period,
-        rsi_buy_threshold,
-        rsi_sell_threshold
-    ):
-        self.fast = short_period
-        self.slow = long_period
-        self.rsi_period = rsi_period
-        self.rsi_buy_threshold = rsi_buy_threshold
-        self.rsi_sell_threshold = rsi_sell_threshold
-        super().__init__()
-
-    def apply_strategy(self, algorithm: Algorithm, market_data):
-
-        for symbol in self.symbols:
-            target_symbol = symbol.split('/')[0]
-
-            if algorithm.has_open_orders(target_symbol):
-                continue
-
-            df = market_data[f"{symbol}_ohlcv_2h"].to_pandas()
-            df = self.add_ema(df, "Close", self.fast)
-            df = self.add_ema(df, "Close", self.slow)
-            df = self.add_rsi(df, self.rsi_period)
-            ticker_data = market_data[f"{symbol}_ticker"]
-            price = ticker_data['bid']
-
-            if not algorithm.has_position(target_symbol) \
-                    and self.is_crossover(
-                df, f"EMA_Close_{self.fast}", f"EMA_Close_{self.slow}"
-            ) and df["RSI"].iloc[-1] <= self.rsi_buy_threshold:
-                algorithm.create_limit_order(
-                    target_symbol=target_symbol,
-                    order_side=OrderSide.BUY,
-                    price=price,
-                    percentage_of_portfolio=25,
-                    precision=4,
-                )
-
-            if algorithm.has_position(target_symbol) \
-                    and self.is_below_trend(
-                        df, f"EMA_Close_{self.fast}", f"EMA_Close_{self.slow}"
-                    ) and df["RSI"].iloc[-1] > self.rsi_sell_threshold:
-                open_trades = algorithm.get_open_trades(
-                    target_symbol=target_symbol
-                )
-                for trade in open_trades:
-                    algorithm.close_trade(trade)
-
-    def is_below_trend(self, data, fast_key, slow_key):
-        """
-        Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-        With the given date time it will check if the ma_<period_one> is a
-        crossover with the ma_<period_two>
-        """
-        return data[fast_key].iloc[-1] < data[slow_key].iloc[-1]
-
-    def is_crossover(self, data, fast_key, slow_key):
-        """
-        Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-        With the given date time it will check if the ma_<period_one> is a
-        crossover with the ma_<period_two>
-        """
-        return data[fast_key].iloc[-2] <= data[slow_key].iloc[-2] \
-            and data[fast_key].iloc[-1] > data[slow_key].iloc[-1]
-
-    def add_ema(self, data, key, period):
-        data[f"EMA_{key}_{period}"] = tp.ema(data[key].to_numpy(), period)
-        return data
-
-    def add_rsi(self, data, rsi_period):
-        # Calculate RSI
-        rsi_values = tp.rsi(data['Close'].to_numpy(), period=rsi_period)
-
-        # Pad NaN values for initial rows with a default value, e.g., 0
-        rsi_values = np.concatenate((np.full(rsi_period, 0), rsi_values))
-
-        # Assign RSI values to the DataFrame
-        data["RSI"] = rsi_values
-        return data
-
-
-def create_algorithm(
-    name,
-    description,
-    short_period,
-    long_period,
-    rsi_period,
-    rsi_buy_threshold,
-    rsi_sell_threshold
-) -> Algorithm:
-    algorithm = Algorithm(
-        name=name,
-        description=description
-    )
-    algorithm.add_strategy(
-        Strategy(
-            short_period,
-            long_period,
-            rsi_period,
-            rsi_buy_threshold=rsi_buy_threshold,
-            rsi_sell_threshold=rsi_sell_threshold
-        )
-    )
-    return algorithm
diff --git a/examples/backtests_example/algorithms/primary.py b/examples/backtests_example/algorithms/primary.py
deleted file mode 100644
index cbf09c15..00000000
--- a/examples/backtests_example/algorithms/primary.py
+++ /dev/null
@@ -1,122 +0,0 @@
-import tulipy as tp
-
-from investing_algorithm_framework import Algorithm, TradingStrategy, \
-    TimeUnit, OrderSide, CCXTOHLCVMarketDataSource, CCXTTickerMarketDataSource
-
-btc_eur_ohlcv_2h_data = CCXTOHLCVMarketDataSource(
-    identifier="BTC/EUR_ohlcv_2h",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    timeframe="2h",
-    window_size=200,
-)
-
-btc_eur_ticker_data = CCXTTickerMarketDataSource(
-    identifier="BTC/EUR_ticker",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    backtest_timeframe="2h"
-)
-
-
-def is_below_trend(fast_series, slow_series):
-    return fast_series[-1] < slow_series[-1]
-
-
-def is_above_trend(fast_series, slow_series):
-    return fast_series[-1] > slow_series[-1]
-
-
-class Strategy(TradingStrategy):
-    time_unit = TimeUnit.HOUR
-    interval = 2
-    market_data_sources = [
-        btc_eur_ohlcv_2h_data,
-        btc_eur_ticker_data
-    ]
-    symbols = ["BTC/EUR"]
-
-    def __init__(
-        self,
-        short_period,
-        long_period
-    ):
-        self.fast = short_period
-        self.slow = long_period
-        super().__init__()
-
-    def apply_strategy(self, algorithm: Algorithm, market_data):
-
-        for symbol in self.symbols:
-            target_symbol = symbol.split('/')[0]
-
-            if algorithm.has_open_orders(target_symbol):
-                continue
-
-            df = market_data[f"{symbol}_ohlcv_2h"].to_pandas()
-            df = self.add_ema(df, "Close", self.fast)
-            df = self.add_ema(df, "Close", self.slow)
-            ticker_data = market_data[f"{symbol}_ticker"]
-            price = ticker_data['bid']
-
-            if not algorithm.has_position(target_symbol) \
-                    and self.is_crossover(
-                df, f"EMA_Close_{self.fast}", f"EMA_Close_{self.slow}"
-            ):
-                algorithm.create_limit_order(
-                    target_symbol=target_symbol,
-                    order_side=OrderSide.BUY,
-                    price=price,
-                    percentage_of_portfolio=25,
-                    precision=4,
-                )
-
-            if algorithm.has_position(target_symbol) \
-                    and self.is_below_trend(
-                df, f"EMA_Close_{self.fast}", f"EMA_Close_{self.slow}"
-            ):
-                open_trades = algorithm.get_open_trades(
-                    target_symbol=target_symbol
-                )
-                for trade in open_trades:
-                    algorithm.close_trade(trade)
-
-    def is_below_trend(self, data, fast_key, slow_key):
-        """
-        Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-        With the given date time it will check if the ma_<period_one> is a
-        crossover with the ma_<period_two>
-        """
-        return data[fast_key].iloc[-1] < data[slow_key].iloc[-1]
-
-    def is_crossover(self, data, fast_key, slow_key):
-        """
-        Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-        With the given date time it will check if the ma_<period_one> is a
-        crossover with the ma_<period_two>
-        """
-        return data[fast_key].iloc[-2] <= data[slow_key].iloc[-2] \
-            and data[fast_key].iloc[-1] > data[slow_key].iloc[-1]
-
-    def add_ema(self, data, key, period):
-        data[f"EMA_{key}_{period}"] = tp.ema(data[key].to_numpy(), period)
-        return data
-
-
-def create_algorithm(
-    name,
-    description,
-    short_period,
-    long_period
-) -> Algorithm:
-    algorithm = Algorithm(
-        name=name,
-        description=description
-    )
-    algorithm.add_strategy(
-        Strategy(
-            short_period,
-            long_period,
-        )
-    )
-    return algorithm
diff --git a/examples/backtests_example/backtests.ipynb b/examples/backtests_example/backtests.ipynb
index ba0adbc6..c3c6d9e4 100644
--- a/examples/backtests_example/backtests.ipynb
+++ b/examples/backtests_example/backtests.ipynb
@@ -2,54 +2,258 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "# Experiment functionality tutorial with the Investing Algorithm Framework\n",
     "\n",
     "Welcome to the tutorial about the Experiment functionality within the Investing Algorithm Framework. In this guide, we'll demonstrate how to leverage this feature to conduct A/B Testing effectively. With Experiment, you can effortlessly compare the performance of multiple models, such as challenger versus champion, and experiment with diverse backtest date ranges and parameter configurations.\n",
     "\n",
     "The Experiment functionality proves invaluable for fine-tuning strategy parameters and comparing different strategies, whether it's testing a new challenger model against the existing production model (champion), or exploring variations in configuration. This process of comparing the challenger model to the production model, or champion, falls under the umbrella of model validation or model evaluation. It entails meticulously assessing the challenger model's performance in relation to the established production model."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "## Step 1: Importing the primary and challenger algorithms"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "## Step 1: Define strategies for experimentation"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 1,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "# Import the factory methods for creation of the champion and challenger strategies\n",
-    "from algorithms import create_primary_algorithm, create_challenger_algorithm"
+    "from investing_algorithm_framework import CCXTOHLCVMarketDataSource, \\\n",
+    "    CCXTTickerMarketDataSource\n",
+    "\n",
+    "\n",
+    "btc_eur_ohlcv_2h_data = CCXTOHLCVMarketDataSource(\n",
+    "    identifier=\"BTC/EUR_ohlcv_2h\",\n",
+    "    symbol=\"BTC/EUR\",\n",
+    "    market=\"BITVAVO\",\n",
+    "    time_frame=\"2h\",\n",
+    "    window_size=200,\n",
+    ")\n",
+    "\n",
+    "btc_eur_ticker_data = CCXTTickerMarketDataSource(\n",
+    "    identifier=\"BTC/EUR_ticker\",\n",
+    "    symbol=\"BTC/EUR\",\n",
+    "    market=\"BITVAVO\",\n",
+    "    backtest_time_frame=\"2h\"\n",
+    ")"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "## Step 2: Setting up the backtest"
-   ],
+    "from investing_algorithm_framework import Algorithm, TradingStrategy, \\\n",
+    "    TimeUnit, OrderSide, get_ema, is_below, is_crossover, \\\n",
+    "    convert_polars_to_pandas\n",
+    "\n",
+    "\n",
+    "class AlternativeStrategy(TradingStrategy):\n",
+    "    time_unit = TimeUnit.HOUR\n",
+    "    interval = 2\n",
+    "    market_data_sources = [\n",
+    "        btc_eur_ohlcv_2h_data,\n",
+    "        btc_eur_ticker_data\n",
+    "    ]\n",
+    "    symbols = [\"BTC/EUR\"]\n",
+    "\n",
+    "    def __init__(\n",
+    "        self,\n",
+    "        short_period,\n",
+    "        long_period\n",
+    "    ):\n",
+    "        self.fast = short_period\n",
+    "        self.slow = long_period\n",
+    "        super().__init__()\n",
+    "\n",
+    "    def apply_strategy(self, algorithm: Algorithm, market_data):\n",
+    "\n",
+    "        for symbol in self.symbols:\n",
+    "            target_symbol = symbol.split('/')[0]\n",
+    "\n",
+    "            if algorithm.has_open_orders(target_symbol):\n",
+    "                continue\n",
+    "\n",
+    "            polars_df = market_data[f\"{symbol}_ohlcv_2h\"]\n",
+    "            df = convert_polars_to_pandas(polars_df)\n",
+    "            df = get_ema(data=df, source_column_name=\"Close\", period=self.fast)\n",
+    "            df = get_ema(data=df, source_column_name=\"Close\", period=self.slow)\n",
+    "            ticker_data = market_data[f\"{symbol}_ticker\"]\n",
+    "            price = ticker_data['bid']\n",
+    "\n",
+    "            if not algorithm.has_position(target_symbol) \\\n",
+    "                    and is_crossover(\n",
+    "                df, f\"EMA_{self.fast}\", f\"EMA_{self.slow}\"\n",
+    "            ):\n",
+    "                algorithm.create_limit_order(\n",
+    "                    target_symbol=target_symbol,\n",
+    "                    order_side=OrderSide.BUY,\n",
+    "                    price=price,\n",
+    "                    percentage_of_portfolio=25,\n",
+    "                    precision=4,\n",
+    "                )\n",
+    "\n",
+    "            if algorithm.has_position(target_symbol) \\\n",
+    "                    and is_below(\n",
+    "                df, f\"EMA_{self.fast}\", f\"EMA_{self.slow}\"\n",
+    "            ):\n",
+    "                open_trades = algorithm.get_open_trades(\n",
+    "                    target_symbol=target_symbol\n",
+    "                )\n",
+    "                for trade in open_trades:\n",
+    "                    algorithm.close_trade(trade)\n",
+    "\n",
+    "\n",
+    "def create_algorithm(\n",
+    "    name,\n",
+    "    description,\n",
+    "    short_period,\n",
+    "    long_period\n",
+    ") -> Algorithm:\n",
+    "    algorithm = Algorithm(\n",
+    "        name=name,\n",
+    "        description=description\n",
+    "    )\n",
+    "    algorithm.add_strategy(\n",
+    "        AlternativeStrategy(\n",
+    "            short_period,\n",
+    "            long_period,\n",
+    "        )\n",
+    "    )\n",
+    "    return algorithm\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from investing_algorithm_framework import Algorithm, TradingStrategy, \\\n",
+    "    TimeUnit, OrderSide, get_ema, get_rsi, is_crossover, is_below, \\\n",
+    "    convert_polars_to_pandas\n",
+    "\n",
+    "\n",
+    "class Strategy(TradingStrategy):\n",
+    "    time_unit = TimeUnit.HOUR\n",
+    "    interval = 2\n",
+    "    market_data_sources = [\n",
+    "        btc_eur_ohlcv_2h_data,\n",
+    "        btc_eur_ticker_data\n",
+    "    ]\n",
+    "    symbols = [\"BTC/EUR\"]\n",
+    "\n",
+    "    def __init__(\n",
+    "        self,\n",
+    "        short_period,\n",
+    "        long_period,\n",
+    "        rsi_period,\n",
+    "        rsi_buy_threshold,\n",
+    "        rsi_sell_threshold\n",
+    "    ):\n",
+    "        self.fast = short_period\n",
+    "        self.slow = long_period\n",
+    "        self.rsi_period = rsi_period\n",
+    "        self.rsi_buy_threshold = rsi_buy_threshold\n",
+    "        self.rsi_sell_threshold = rsi_sell_threshold\n",
+    "        super().__init__()\n",
+    "\n",
+    "    def apply_strategy(self, algorithm: Algorithm, market_data):\n",
+    "\n",
+    "        for symbol in self.symbols:\n",
+    "            target_symbol = symbol.split('/')[0]\n",
+    "\n",
+    "            if algorithm.has_open_orders(target_symbol):\n",
+    "                continue\n",
+    "\n",
+    "            polars_df = market_data[f\"{symbol}_ohlcv_2h\"]\n",
+    "            df = convert_polars_to_pandas(polars_df)\n",
+    "            df = get_ema(data=df, source_column_name=\"Close\", period=self.fast)\n",
+    "            df = get_ema(data=df, source_column_name=\"Close\", period=self.slow)\n",
+    "            df = get_rsi(data=df, period=self.rsi_period)\n",
+    "            ticker_data = market_data[f\"{symbol}_ticker\"]\n",
+    "            price = ticker_data['bid']\n",
+    "\n",
+    "            if not algorithm.has_position(target_symbol) \\\n",
+    "                    and is_crossover(\n",
+    "                        df, f\"EMA_{self.fast}\", f\"EMA_{self.slow}\"\n",
+    "            ) and df[f\"RSI_{self.rsi_period}\"].iloc[-1] <= self.rsi_buy_threshold:\n",
+    "                algorithm.create_limit_order(\n",
+    "                    target_symbol=target_symbol,\n",
+    "                    order_side=OrderSide.BUY,\n",
+    "                    price=price,\n",
+    "                    percentage_of_portfolio=25,\n",
+    "                    precision=4,\n",
+    "                )\n",
+    "\n",
+    "            if algorithm.has_position(target_symbol) \\\n",
+    "                    and is_below(\n",
+    "                        df, f\"EMA_{self.fast}\", f\"EMA_{self.slow}\"\n",
+    "                    ) and df[f\"RSI_{self.rsi_period}\"].iloc[-1] > self.rsi_sell_threshold:\n",
+    "                open_trades = algorithm.get_open_trades(\n",
+    "                    target_symbol=target_symbol\n",
+    "                )\n",
+    "                for trade in open_trades:\n",
+    "                    algorithm.close_trade(trade)\n",
+    "\n",
+    "def create_alternative_algorithm(\n",
+    "    name,\n",
+    "    description,\n",
+    "    short_period,\n",
+    "    long_period,\n",
+    "    rsi_period,\n",
+    "    rsi_buy_threshold,\n",
+    "    rsi_sell_threshold\n",
+    ") -> Algorithm:\n",
+    "    algorithm = Algorithm(\n",
+    "        name=name,\n",
+    "        description=description\n",
+    "    )\n",
+    "    algorithm.add_strategy(\n",
+    "        Strategy(\n",
+    "            short_period,\n",
+    "            long_period,\n",
+    "            rsi_period,\n",
+    "            rsi_buy_threshold=rsi_buy_threshold,\n",
+    "            rsi_sell_threshold=rsi_sell_threshold\n",
+    "        )\n",
+    "    )\n",
+    "    return algorithm\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "## Step 2: Setting up the backtest"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
        "data": [
         {
          "line": {
@@ -58,4354 +262,4354 @@
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          "mode": "lines",
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-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from investing_algorithm_framework import create_app, BacktestDateRange, CCXTOHLCVMarketDataSource, RESOURCE_DIRECTORY, PortfolioConfiguration\n",
-    "from plotly import graph_objects as go\n",
-    "from pandas import DataFrame as PandasDataFrame\n",
-    "from datetime import datetime\n",
-    "\n",
-    "# Define the backtest date ranges\n",
-    "up_turn_date_range = BacktestDateRange(\n",
-    "    start_date=datetime(2022, 12, 20),\n",
-    "    end_date=datetime(2023, 6, 1),\n",
-    "    name=\"up_turn\"\n",
-    ")\n",
-    "sideways_date_range = BacktestDateRange(\n",
-    "    start_date=datetime(2022, 6, 10),\n",
-    "    end_date=datetime(2023, 1, 10),\n",
-    "    name=\"sideways\"\n",
-    ")\n",
-    "down_turn_date_range = BacktestDateRange(\n",
-    "    start_date=datetime(2021, 12, 21),\n",
-    "    end_date=datetime(2022, 6, 20),\n",
-    "    name=\"down_turn\"\n",
-    ")\n",
-    "\n",
-    "# Create the app and the champion and challenger algorithms\n",
-    "app = create_app(config={RESOURCE_DIRECTORY: \"resources_dump\"})\n",
-    "app.add_portfolio_configuration(PortfolioConfiguration(initial_balance=1000, trading_symbol=\"EUR\", market=\"BITVAVO\"))\n",
-    "\n",
-    "champion = create_primary_algorithm(\n",
-    "    name=\"primary\",\n",
-    "    description=\"This is the primary algorithm configured with 21 ema and 50 ema\",\n",
-    "    long_period=50,\n",
-    "    short_period=21\n",
-    ")\n",
-    "challenger = create_challenger_algorithm(\n",
-    "    name=\"secondary\",\n",
-    "    description=\"This is the primary algorithm configured with 21 ema and 50 ema\",\n",
-    "    long_period=50,\n",
-    "    short_period=21,\n",
-    "    rsi_period=14,\n",
-    "    rsi_sell_threshold=70,\n",
-    "    rsi_buy_threshold=60\n",
-    ")\n",
-    "\n",
-    "def create_prices_graph(data: PandasDataFrame, name: str = \"Close\", color: str = \"blue\") -> go.Scatter:\n",
-    "    return go.Scatter(\n",
-    "        x=data.index,\n",
-    "        y=data['Close'],\n",
-    "        mode='lines',\n",
-    "        line=dict(color=color, width=1),\n",
-    "        name=name\n",
-    "    )\n",
-    "\n",
-    "down_turn_data_source = CCXTOHLCVMarketDataSource(window_size=100, timeframe=\"2h\", market=\"bitvavo\", symbol=\"BTC/EUR\", identifier=\"BTC/EUR_OHLCV\")\n",
-    "df_down_turn = down_turn_data_source.get_data(start_date=down_turn_date_range.start_date, end_date=down_turn_date_range.end_date).to_pandas()\n",
-    "df_down_turn.set_index('Datetime', inplace=True)\n",
-    "up_turn_data_source = CCXTOHLCVMarketDataSource(window_size=100, timeframe=\"2h\", market=\"bitvavo\", symbol=\"BTC/EUR\", identifier=\"BTC/EUR_OHLCV\")\n",
-    "df_up_turn = up_turn_data_source.get_data(start_date=up_turn_date_range.start_date, end_date=up_turn_date_range.end_date).to_pandas()\n",
-    "df_up_turn.set_index('Datetime', inplace=True)\n",
-    "side_way_data_source = CCXTOHLCVMarketDataSource(window_size=100, timeframe=\"2h\", market=\"bitvavo\", symbol=\"BTC/EUR\", identifier=\"BTC/EUR_OHLCV\")\n",
-    "df_side_way = side_way_data_source.get_data(start_date=sideways_date_range.start_date, end_date=sideways_date_range.end_date).to_pandas()\n",
-    "df_side_way.set_index('Datetime', inplace=True)\n",
-    "\n",
-    "from plotly.subplots import make_subplots\n",
-    "fig = make_subplots(rows=3, cols=1, shared_xaxes=False, vertical_spacing=0.02)\n",
-    "fig.add_trace(create_prices_graph(df_down_turn, name=\"Close down turn\", color=\"red\"), row=1, col=1)\n",
-    "fig.add_trace(create_prices_graph(df_up_turn, name=\"Close up turn\", color=\"green\"), row=2, col=1)\n",
-    "fig.add_trace(create_prices_graph(df_side_way, name=\"Close side ways\", color=\"blue\"), row=3, col=1)\n",
-    "\n",
-    "fig.update_layout(height=600, width=800, title_text=\"Backtest date range close prices\")\n",
-    "\n",
-    "# Add titles to each subplot\n",
-    "fig.update_xaxes(title_text=\"Date\", row=1, col=1)\n",
-    "fig.update_yaxes(title_text=\"Prices down turn\", row=1, col=1)\n",
-    "fig.update_xaxes(title_text=\"Date\", row=2, col=1)\n",
-    "fig.update_yaxes(title_text=\"Prices up turn\", row=2, col=1)\n",
-    "fig.update_xaxes(title_text=\"Date\", row=3, col=1)\n",
-    "fig.update_yaxes(title_text=\"Prices side way\", row=3, col=1)\n",
-    "fig.show()"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Step 3: Running the backtests for all the date ranges"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001B[93mRunning backtests for date range:\u001B[0m \u001B[92mdown_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 for a total of 2 algorithms.\u001B[0m\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 41.78it/s]\n",
-      "Running backtest for algorithm with name primary: 100%|\u001B[32m██████████\u001B[0m| 2173/2173 [00:09<00:00, 230.93it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1036.78it/s]\n",
-      "Running backtest for algorithm with name secondary: 100%|\u001B[32m██████████\u001B[0m| 2173/2173 [00:09<00:00, 224.02it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001B[93mRunning backtests for date range:\u001B[0m \u001B[92mup_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 for a total of 2 algorithms.\u001B[0m\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 185.70it/s]\n",
-      "Running backtest for algorithm with name primary: 100%|\u001B[32m██████████\u001B[0m| 1957/1957 [00:10<00:00, 195.16it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1174.88it/s]\n",
-      "Running backtest for algorithm with name secondary: 100%|\u001B[32m██████████\u001B[0m| 1957/1957 [00:07<00:00, 270.07it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001B[93mRunning backtests for date range:\u001B[0m \u001B[92msideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 for a total of 2 algorithms.\u001B[0m\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 91.59it/s]\n",
-      "Running backtest for algorithm with name primary: 100%|\u001B[32m██████████\u001B[0m| 2569/2569 [00:11<00:00, 219.38it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1236.71it/s]\n",
-      "Running backtest for algorithm with name secondary: 100%|\u001B[32m██████████\u001B[0m| 2569/2569 [00:09<00:00, 268.31it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "reports = app.run_backtests(algorithms=[champion, challenger], date_ranges=[down_turn_date_range, up_turn_date_range, sideways_date_range])"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Step 4: Analyzing the backtest results"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "              :%%%#+-          .=*#%%%      \u001B[92mBacktest reports evaluation\u001B[0m\n",
-      "              *%%%%%%%+------=*%%%%%%%-     \u001B[92m---------------------------\u001B[0m\n",
-      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001B[93mNumber of reports:\u001B[0m \u001B[92m6 backtest reports\u001B[0m\n",
-      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001B[93mTotal number of date ranges:\u001B[0m\u001B[92m3\u001B[0m\n",
-      "               #%%%####%%%%%%%%**#%%%+      \u001B[93mLargest overall profit:\u001B[0m\u001B[92m\u001B[0m\u001B[92m (Algorithm primary) 121.6183 EUR 12.1618% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001B[0m \n",
-      "         .:-+*%%%%- \u001B[95m-+..#\u001B[0m%%%+.\u001B[95m+-  +\u001B[0m%%%#*=-: \u001B[93mLargest overall growth:\u001B[0m\u001B[92m (Algorithm primary) 127.5655 EUR 12.7565% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001B[0m\n",
-      "          .:-=*%%%%. \u001B[95m+=\u001B[0m .%%#  \u001B[95m-+.-\u001B[0m%%%%=-:.. \n",
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-      "            :++  .=#%%%%%%%%%%%%%*-         \n",
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-      "          :++:        .%%%%%#=              \n",
-      "         :++:        .#%%%%%#*=             \n",
-      "        :++-        :%%%%%%%%%+=            \n",
-      "       .++-        -%%%%%%%%%%%+=           \n",
-      "      .++-        .%%%%%%%%%%%%%+=          \n",
-      "     .++-         *%%%%%%%%%%%%%*+:         \n",
-      "    .++-          %%%%%%%%%%%%%%#+=         \n",
-      "    =++........:::%%%%%%%%%%%%%%*+-         \n",
-      "    .=++++++++++**#%%%%%%%%%%%%%++.         \n",
-      "    \n",
-      "\u001B[93mDate ranges of backtests:\u001B[0m\n",
-      "\u001B[92mdown_turn: 2021-12-21 00:00:00 - 2022-06-20 00:00:00\u001B[0m\n",
-      "\u001B[92mup_turn: 2022-12-20 00:00:00 - 2023-06-01 00:00:00\u001B[0m\n",
-      "\u001B[92msideways: 2022-06-10 00:00:00 - 2023-01-10 00:00:00\u001B[0m\n",
-      "\n",
-      "\u001B[93mAll profits ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Profit       │ Profit percentage   │ Date range                                          │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary          │ 121.6183 EUR │ 12.1618%            │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1127.57  │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ secondary        │ 70.6731 EUR  │ 7.0673%             │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1075.01  │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ secondary        │ -3.3966 EUR  │ -0.3397%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       941.031 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary          │ -8.5178 EUR  │ -0.8518%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       997.613 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ secondary        │ -50.7186 EUR │ -5.0719%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       949.281 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary          │ -57.1643 EUR │ -5.7164%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       942.836 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n",
-      "\u001B[93mAll growths ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Growth       │ Growth percentage   │ Date range                                          │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary          │ 127.5655 EUR │ 12.7565%            │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1127.57  │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ secondary        │ 75.0139 EUR  │ 7.5014%             │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1075.01  │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary          │ -2.3874 EUR  │ -0.2387%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       997.613 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ secondary        │ -50.7186 EUR │ -5.0719%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       949.281 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary          │ -57.1643 EUR │ -5.7164%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       942.836 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ secondary        │ -58.9687 EUR │ -5.8969%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       941.031 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n"
-     ]
-    }
-   ],
-   "source": [
-    "from investing_algorithm_framework import pretty_print_backtest_reports_evaluation, BacktestReportsEvaluation\n",
-    "\n",
-    "evaluation = BacktestReportsEvaluation(reports)\n",
-    "pretty_print_backtest_reports_evaluation(evaluation)"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Step 5: Highlighting the winning algorithm"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The winning algorithm is primary\n",
-      "\n",
-      "                  :%%%#+-          .=*#%%%        \u001B[92mBacktest report\u001B[0m\n",
-      "                  *%%%%%%%+------=*%%%%%%%-       \u001B[92m---------------------------\u001B[0m\n",
-      "                  *%%%%%%%%%%%%%%%%%%%%%%%-       \u001B[93mStart date:\u001B[0m\u001B[92m 2022-12-20 00:00:00\u001B[0m\n",
-      "                  .%%%%%%%%%%%%%%%%%%%%%%#        \u001B[93mEnd date:\u001B[0m\u001B[92m 2023-06-01 00:00:00\u001B[0m\n",
-      "                   #%%%####%%%%%%%%**#%%%+        \u001B[93mNumber of days:\u001B[0m\u001B[92m\u001B[0m\u001B[92m 163\u001B[0m \n",
-      "             .:-+*%%%%- \u001B[95m-+..#\u001B[0m%%%+.\u001B[95m+-  +\u001B[0m%%%#*=-:   \u001B[93mNumber of runs:\u001B[0m\u001B[92m 1957\u001B[0m\n",
-      "              .:-=*%%%%. \u001B[95m+=\u001B[0m .%%#  \u001B[95m-+.-\u001B[0m%%%%=-:..   \u001B[93mNumber of orders:\u001B[0m\u001B[92m 39\u001B[0m\n",
-      "              .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:    \u001B[93mInitial balance:\u001B[0m\u001B[92m 1000.0\u001B[0m\n",
-      "                    +%%%%%%%%%%%%%%%%%%%=         \u001B[93mFinal balance:\u001B[0m\u001B[92m 1127.5655\u001B[0m\n",
-      "                :++  .=#%%%%%%%%%%%%%*-           \u001B[93mTotal net gain:\u001B[0m\u001B[92m 121.6183 12.16%\u001B[0m\n",
-      "               :++:      :+%%%%%%#-.              \u001B[93mGrowth:\u001B[0m\u001B[92m 127.5655 12.76%\u001B[0m\n",
-      "              :++:        .%%%%%#=                \u001B[93mNumber of trades closed:\u001B[0m\u001B[92m 19\u001B[0m\n",
-      "             :++:        .#%%%%%#*=               \u001B[93mNumber of trades open(end of backtest):\u001B[0m\u001B[92m 1\u001B[0m\n",
-      "            :++-        :%%%%%%%%%+=              \u001B[93mPercentage positive trades:\u001B[0m\u001B[92m 25.64102564102564%\u001B[0m\n",
-      "           .++-        -%%%%%%%%%%%+=             \u001B[93mPercentage negative trades:\u001B[0m\u001B[92m 71.7948717948718%\u001B[0m\n",
-      "          .++-        .%%%%%%%%%%%%%+=            \u001B[93mAverage trade size:\u001B[0m\u001B[92m 275.8284 EUR\u001B[0m\n",
-      "         .++-         *%%%%%%%%%%%%%*+:           \u001B[93mAverage trade duration:\u001B[0m\u001B[92m 106.10526315789474 hours\u001B[0m\n",
-      "        .++-          %%%%%%%%%%%%%%#+=         \n",
-      "        =++........:::%%%%%%%%%%%%%%*+-         \n",
-      "        .=++++++++++**#%%%%%%%%%%%%%++.         \n",
-      "        \n",
-      "\u001B[93mPositions overview\u001B[0m\n",
-      "╭────────────┬──────────┬──────────────────────┬───────────────────────┬──────────────┬───────────────┬───────────────────────────┬────────────────┬───────────────╮\n",
-      "│ Position   │   Amount │   Pending buy amount │   Pending sell amount │   Cost (EUR) │   Value (EUR) │ Percentage of portfolio   │   Growth (EUR) │ Growth_rate   │\n",
-      "├────────────┼──────────┼──────────────────────┼───────────────────────┼──────────────┼───────────────┼───────────────────────────┼────────────────┼───────────────┤\n",
-      "│ EUR        │ 842.497  │                    0 │                     0 │      842.497 │       842.497 │ 74.7183%                  │         0      │ 0.0000%       │\n",
-      "├────────────┼──────────┼──────────────────────┼───────────────────────┼──────────────┼───────────────┼───────────────────────────┼────────────────┼───────────────┤\n",
-      "│ BTC        │   0.0112 │                    0 │                     0 │      279.121 │       285.068 │ 25.2817%                  │         5.9472 │ 2.1307%       │\n",
-      "╰────────────┴──────────┴──────────────────────┴───────────────────────┴──────────────┴───────────────┴───────────────────────────┴────────────────┴───────────────╯\n",
-      "\u001B[93mTrades overview\u001B[0m\n",
-      "╭─────────┬─────────────────────┬─────────────────────┬────────────────────┬──────────────┬──────────────────┬───────────────────────┬────────────────────┬─────────────────────╮\n",
-      "│ Pair    │ Open date           │ Close date          │   Duration (hours) │   Size (EUR) │   Net gain (EUR) │ Net gain percentage   │   Open price (EUR) │   Close price (EUR) │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-05-27 02:00:00 │                     │            8814.81 │      279.121 │           0      │ 0.0000%               │            24921.5 │                     │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-05-23 04:00:00 │ 2023-05-24 14:00:00 │              34    │      281.263 │          -8.1696 │ -2.9046%              │            25339   │             24603   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-05-20 22:00:00 │ 2023-05-21 18:00:00 │              20    │      280.482 │          -1.848  │ -0.6589%              │            25043   │             24878   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-05-17 20:00:00 │ 2023-05-19 12:00:00 │              40    │      282.626 │          -4.0768 │ -1.4425%              │            25234.5 │             24870.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-05-15 06:00:00 │ 2023-05-17 06:00:00 │              48    │      283.002 │          -4.2168 │ -1.4900%              │            25268   │             24891.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-05-04 08:00:00 │ 2023-05-08 00:00:00 │              88    │      284.035 │          -2.8458 │ -1.0019%              │            26299.5 │             26036   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-04-26 06:00:00 │ 2023-05-01 12:00:00 │             126    │      284.224 │           1.4135 │ 0.4973%               │            25838.5 │             25967   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-04-18 20:00:00 │ 2023-04-19 12:00:00 │              16    │      287.336 │          -8.9492 │ -3.1145%              │            27628.5 │             26768   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-04-09 22:00:00 │ 2023-04-17 12:00:00 │             182    │      283.956 │          11.0472 │ 3.8904%               │            26051   │             27064.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-04-05 10:00:00 │ 2023-04-05 16:00:00 │               6    │      284.114 │          -2.9212 │ -1.0282%              │            26065.5 │             25797.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-03-29 14:00:00 │ 2023-04-03 08:00:00 │             114    │      285.22  │          -4.7088 │ -1.6509%              │            26167   │             25735   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-03-26 12:00:00 │ 2023-03-27 16:00:00 │              28    │      288.928 │          -9.5016 │ -3.2886%              │            26029.5 │             25173.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-03-23 14:00:00 │ 2023-03-25 12:00:00 │              46    │      289.24  │          -2.7272 │ -0.9429%              │            25825   │             25581.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-03-13 02:00:00 │ 2023-03-23 14:00:00 │             252    │      273.03  │          58.747  │ 21.5166%              │            20842   │             25326.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-02-15 08:00:00 │ 2023-02-22 16:00:00 │             176    │      268.248 │          23.491  │ 8.7572%               │            20634.5 │             22441.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-02-07 22:00:00 │ 2023-02-09 02:00:00 │              28    │      268.212 │          -2.5358 │ -0.9454%              │            21630   │             21425.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-02-01 22:00:00 │ 2023-02-05 20:00:00 │              94    │      269.806 │          -4.9563 │ -1.8370%              │            21584.5 │             21188   │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2023-01-02 12:00:00 │ 2023-01-31 06:00:00 │             690    │      248.716 │          85.8918 │ 34.5341%              │            15642.5 │             21044.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2022-12-26 22:00:00 │ 2022-12-27 06:00:00 │               8    │      248.814 │          -0.3689 │ -0.1483%              │            15848   │             15824.5 │\n",
-      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼──────────────────┼───────────────────────┼────────────────────┼─────────────────────┤\n",
-      "│ BTC-EUR │ 2022-12-26 02:00:00 │ 2022-12-26 22:00:00 │              20    │      249.489 │          -1.1461 │ -0.4594%              │            15891   │             15818   │\n",
-      "╰─────────┴─────────────────────┴─────────────────────┴────────────────────┴──────────────┴──────────────────┴───────────────────────┴────────────────────┴─────────────────────╯\n"
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+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "title": {
+         "text": "Backtest date range close prices"
+        },
+        "width": 800,
+        "xaxis": {
+         "anchor": "y",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "Date"
+         }
+        },
+        "xaxis2": {
+         "anchor": "y2",
+         "domain": [
+          0,
+          1
          ],
-         "type": "scatter",
-         "xaxis": "x",
-         "yaxis": "y"
+         "title": {
+          "text": "Date"
+         }
+        },
+        "xaxis3": {
+         "anchor": "y3",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "Date"
+         }
+        },
+        "yaxis": {
+         "anchor": "x",
+         "domain": [
+          0.68,
+          1
+         ],
+         "title": {
+          "text": "Prices down turn"
+         }
+        },
+        "yaxis2": {
+         "anchor": "x2",
+         "domain": [
+          0.34,
+          0.66
+         ],
+         "title": {
+          "text": "Prices up turn"
+         }
         },
+        "yaxis3": {
+         "anchor": "x3",
+         "domain": [
+          0,
+          0.32
+         ],
+         "title": {
+          "text": "Prices side way"
+         }
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from investing_algorithm_framework import create_app, BacktestDateRange, \\\n",
+    "    CCXTOHLCVMarketDataSource, RESOURCE_DIRECTORY, \\\n",
+    "    PortfolioConfiguration, convert_polars_to_pandas\n",
+    "from plotly import graph_objects as go\n",
+    "from pandas import DataFrame as PandasDataFrame\n",
+    "from datetime import datetime\n",
+    "\n",
+    "# Define the backtest date ranges\n",
+    "up_turn_date_range = BacktestDateRange(\n",
+    "    start_date=datetime(2022, 12, 20),\n",
+    "    end_date=datetime(2023, 6, 1),\n",
+    "    name=\"up_turn\"\n",
+    ")\n",
+    "sideways_date_range = BacktestDateRange(\n",
+    "    start_date=datetime(2022, 6, 10),\n",
+    "    end_date=datetime(2023, 1, 10),\n",
+    "    name=\"sideways\"\n",
+    ")\n",
+    "down_turn_date_range = BacktestDateRange(\n",
+    "    start_date=datetime(2021, 12, 21),\n",
+    "    end_date=datetime(2022, 6, 20),\n",
+    "    name=\"down_turn\"\n",
+    ")\n",
+    "\n",
+    "# Create the app and the champion and challenger algorithms\n",
+    "app = create_app(config={RESOURCE_DIRECTORY: \"resources_dump\"})\n",
+    "app.add_portfolio_configuration(PortfolioConfiguration(initial_balance=1000, trading_symbol=\"EUR\", market=\"BITVAVO\"))\n",
+    "\n",
+    "champion = create_algorithm(\n",
+    "    name=\"primary\",\n",
+    "    description=\"This is the primary algorithm configured with 21 ema and 50 ema\",\n",
+    "    long_period=50,\n",
+    "    short_period=21\n",
+    ")\n",
+    "challenger = create_alternative_algorithm(\n",
+    "    name=\"secondary\",\n",
+    "    description=\"This is the primary algorithm configured with 21 ema and 50 ema\",\n",
+    "    long_period=50,\n",
+    "    short_period=21,\n",
+    "    rsi_period=14,\n",
+    "    rsi_sell_threshold=70,\n",
+    "    rsi_buy_threshold=60\n",
+    ")\n",
+    "\n",
+    "def create_prices_graph(\n",
+    "    data: PandasDataFrame, name: str = \"Close\", color: str = \"blue\"\n",
+    ") -> go.Scatter:\n",
+    "    return go.Scatter(\n",
+    "        x=data.index,\n",
+    "        y=data['Close'],\n",
+    "        mode='lines',\n",
+    "        line=dict(color=color, width=1),\n",
+    "        name=name\n",
+    "    )\n",
+    "\n",
+    "down_turn_data_source = CCXTOHLCVMarketDataSource(\n",
+    "    window_size=100,\n",
+    "    time_frame=\"2h\",\n",
+    "    market=\"bitvavo\",\n",
+    "    symbol=\"BTC/EUR\",\n",
+    "    identifier=\"BTC/EUR_OHLCV\"\n",
+    ")\n",
+    "df_down_turn = down_turn_data_source.get_data(\n",
+    "    start_date=down_turn_date_range.start_date,\n",
+    "    end_date=down_turn_date_range.end_date\n",
+    ")\n",
+    "df_down_turn = convert_polars_to_pandas(df_down_turn)\n",
+    "up_turn_data_source = CCXTOHLCVMarketDataSource(\n",
+    "    window_size=100,\n",
+    "    time_frame=\"2h\",\n",
+    "    market=\"bitvavo\",\n",
+    "    symbol=\"BTC/EUR\",\n",
+    "    identifier=\"BTC/EUR_OHLCV\"\n",
+    ")\n",
+    "df_up_turn = up_turn_data_source.get_data(\n",
+    "    start_date=up_turn_date_range.start_date,\n",
+    "    end_date=up_turn_date_range.end_date\n",
+    ")\n",
+    "df_up_turn = convert_polars_to_pandas(df_up_turn)\n",
+    "side_way_data_source = CCXTOHLCVMarketDataSource(\n",
+    "    window_size=100,\n",
+    "    time_frame=\"2h\",\n",
+    "    market=\"bitvavo\",\n",
+    "    symbol=\"BTC/EUR\",\n",
+    "    identifier=\"BTC/EUR_OHLCV\"\n",
+    ")\n",
+    "df_side_way = side_way_data_source.get_data(\n",
+    "    start_date=sideways_date_range.start_date,\n",
+    "    end_date=sideways_date_range.end_date\n",
+    ")\n",
+    "df_side_way = convert_polars_to_pandas(df_side_way)\n",
+    "\n",
+    "from plotly.subplots import make_subplots\n",
+    "fig = make_subplots(rows=3, cols=1, shared_xaxes=False, vertical_spacing=0.02)\n",
+    "fig.add_trace(create_prices_graph(df_down_turn, name=\"Close down turn\", color=\"red\"), row=1, col=1)\n",
+    "fig.add_trace(create_prices_graph(df_up_turn, name=\"Close up turn\", color=\"green\"), row=2, col=1)\n",
+    "fig.add_trace(create_prices_graph(df_side_way, name=\"Close side ways\", color=\"blue\"), row=3, col=1)\n",
+    "\n",
+    "fig.update_layout(\n",
+    "    height=600, width=800, title_text=\"Backtest date range close prices\"\n",
+    ")\n",
+    "\n",
+    "# Add titles to each subplot\n",
+    "fig.update_xaxes(title_text=\"Date\", row=1, col=1)\n",
+    "fig.update_yaxes(title_text=\"Prices down turn\", row=1, col=1)\n",
+    "fig.update_xaxes(title_text=\"Date\", row=2, col=1)\n",
+    "fig.update_yaxes(title_text=\"Prices up turn\", row=2, col=1)\n",
+    "fig.update_xaxes(title_text=\"Date\", row=3, col=1)\n",
+    "fig.update_yaxes(title_text=\"Prices side way\", row=3, col=1)\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "## Step 3: Running the backtests for all the date ranges"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[93mRunning backtests for date range:\u001b[0m \u001b[92mdown_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 for a total of 2 algorithms.\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 73.83it/s]\n",
+      "Running backtest for algorithm with name primary: 100%|\u001b[32m██████████\u001b[0m| 2173/2173 [00:21<00:00, 102.26it/s]\n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 321.02it/s]\n",
+      "Running backtest for algorithm with name secondary: 100%|\u001b[32m██████████\u001b[0m| 2173/2173 [00:18<00:00, 119.51it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[93mRunning backtests for date range:\u001b[0m \u001b[92mup_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 for a total of 2 algorithms.\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 113.81it/s]\n",
+      "Running backtest for algorithm with name primary: 100%|\u001b[32m██████████\u001b[0m| 1957/1957 [00:21<00:00, 92.46it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 198.18it/s]\n",
+      "Running backtest for algorithm with name secondary: 100%|\u001b[32m██████████\u001b[0m| 1957/1957 [00:18<00:00, 103.83it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[93mRunning backtests for date range:\u001b[0m \u001b[92msideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 for a total of 2 algorithms.\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 194.67it/s]\n",
+      "Running backtest for algorithm with name primary: 100%|\u001b[32m██████████\u001b[0m| 2569/2569 [00:29<00:00, 86.08it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 286.86it/s]\n",
+      "Running backtest for algorithm with name secondary: 100%|\u001b[32m██████████\u001b[0m| 2569/2569 [00:29<00:00, 86.29it/s] \n"
+     ]
+    }
+   ],
+   "source": [
+    "reports = app.run_backtests(\n",
+    "    algorithms=[champion, challenger],\n",
+    "    date_ranges=[\n",
+    "        down_turn_date_range, up_turn_date_range, sideways_date_range\n",
+    "    ]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "## Step 4: Analyzing the backtest results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "              :%%%#+-          .=*#%%%      \u001b[92mBacktest reports evaluation\u001b[0m\n",
+      "              *%%%%%%%+------=*%%%%%%%-     \u001b[92m---------------------------\u001b[0m\n",
+      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001b[93mNumber of reports:\u001b[0m \u001b[92m6 backtest reports\u001b[0m\n",
+      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001b[93mLargest overall profit:\u001b[0m\u001b[92m\u001b[0m\u001b[92m (Algorithm primary) 119.9648 EUR 11.9965% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001b[0m\n",
+      "               #%%%####%%%%%%%%**#%%%+      \u001b[93mLargest overall growth:\u001b[0m\u001b[92m (Algorithm primary) 125.2748 EUR 12.5275% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001b[0m\n",
+      "         .:-+*%%%%- \u001b[95m-+..#\u001b[0m%%%+.\u001b[95m+-  +\u001b[0m%%%#*=-:\n",
+      "          .:-=*%%%%. \u001b[95m+=\u001b[0m .%%#  \u001b[95m-+.-\u001b[0m%%%%=-:..\n",
+      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:\n",
+      "                +%%%%%%%%%%%%%%%%%%%=\n",
+      "            :++  .=#%%%%%%%%%%%%%*-\n",
+      "           :++:      :+%%%%%%#-.\n",
+      "          :++:        .%%%%%#=\n",
+      "         :++:        .#%%%%%#*=\n",
+      "        :++-        :%%%%%%%%%+=\n",
+      "       .++-        -%%%%%%%%%%%+=\n",
+      "      .++-        .%%%%%%%%%%%%%+=\n",
+      "     .++-         *%%%%%%%%%%%%%*+:\n",
+      "    .++-          %%%%%%%%%%%%%%#+=\n",
+      "    =++........:::%%%%%%%%%%%%%%*+-\n",
+      "    .=++++++++++**#%%%%%%%%%%%%%++.\n",
+      "    \n",
+      "\u001b[93mDate ranges of backtests:\u001b[0m\n",
+      "\u001b[92mdown_turn: 2021-12-21 00:00:00 - 2022-06-20 00:00:00\u001b[0m\n",
+      "\u001b[92mup_turn: 2022-12-20 00:00:00 - 2023-06-01 00:00:00\u001b[0m\n",
+      "\u001b[92msideways: 2022-06-10 00:00:00 - 2023-01-10 00:00:00\u001b[0m\n",
+      "\n",
+      "\u001b[93mPrice noise\u001b[0m\n",
+      "\n",
+      "\u001b[93mAll profits ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Profit       │ Profit percentage   │ Percentage positive trades   │ Date range                                          │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary          │ 119.9648 EUR │ 11.9965%            │ 26%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1125.27  │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ secondary        │ 70.5835 EUR  │ 7.0584%             │ 100%                         │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1074.64  │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ secondary        │ -2.6223 EUR  │ -0.2622%            │ 33%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       941.806 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary          │ -8.2249 EUR  │ -0.8225%            │ 32%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       997.944 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ secondary        │ -81.3662 EUR │ -8.1366%            │ 50%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       918.634 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary          │ -95.0346 EUR │ -9.5035%            │ 19%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       904.965 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mAll growths ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Growth       │ Growth percentage   │ Percentage positive trades   │ Date range                                          │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary          │ 125.2748 EUR │ 12.5275%            │ 26%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1125.27  │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ secondary        │ 74.6376 EUR  │ 7.4638%             │ 100%                         │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00   │      1074.64  │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary          │ -2.0557 EUR  │ -0.2056%            │ 32%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       997.944 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ secondary        │ -58.1943 EUR │ -5.8194%            │ 33%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00  │       941.806 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ secondary        │ -81.3663 EUR │ -8.1366%            │ 50%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       918.634 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary          │ -95.0346 EUR │ -9.5035%            │ 19%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       904.965 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n"
+     ]
+    }
+   ],
+   "source": [
+    "from investing_algorithm_framework import pretty_print_backtest_reports_evaluation, BacktestReportsEvaluation\n",
+    "\n",
+    "evaluation = BacktestReportsEvaluation(reports)\n",
+    "pretty_print_backtest_reports_evaluation(evaluation)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "## Step 5: Highlighting the winning algorithm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from typing import List\n",
+    "import plotly.graph_objects as go\n",
+    "from pandas import DataFrame as PandasDataFrame\n",
+    "\n",
+    "from investing_algorithm_framework import Trade\n",
+    "\n",
+    "def create_entry_graph(\n",
+    "    data: PandasDataFrame,\n",
+    "    trades: List[Trade],\n",
+    "    column = \"Buy\",\n",
+    "    value_lookup_column = \"Close\",\n",
+    "    color = \"green\"\n",
+    "):\n",
+    "\n",
+    "    for trade in trades:\n",
+    "        data.loc[trade.opened_at, column] = 1\n",
+    "\n",
+    "    # Filter the data for buy and sell signals\n",
+    "    buy_signals = data[data[column] == 1]\n",
+    "\n",
+    "    # Add Buy signals (green circles)\n",
+    "    return go.Scatter(\n",
+    "        x=buy_signals.index,\n",
+    "        y=buy_signals[value_lookup_column],\n",
+    "        mode='markers',\n",
+    "        name='Buy Signal',\n",
+    "        marker=dict(symbol='circle', size=10, color=color)\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "def create_exit_graph(\n",
+    "    data: PandasDataFrame,\n",
+    "    trades: List[Trade],\n",
+    "    column = \"Sell\",\n",
+    "    value_lookup_column = \"Close\",\n",
+    "    color = \"red\"\n",
+    "):\n",
+    "\n",
+    "    for trade in trades:\n",
+    "        data.loc[trade.closed_at, column] = 1\n",
+    "\n",
+    "    # Filter the data for buy and sell signals\n",
+    "    buy_signals = data[data[column] == 1]\n",
+    "\n",
+    "    # Add Buy signals (green circles)\n",
+    "    return go.Scatter(\n",
+    "        x=buy_signals.index,\n",
+    "        y=buy_signals[value_lookup_column],\n",
+    "        mode='markers',\n",
+    "        name='Sell Signal',\n",
+    "        marker=dict(symbol='circle', size=10, color=color)\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The winning algorithm is primary\n",
+      "\n",
+      "                  :%%%#+-          .=*#%%%        \u001b[92mBacktest report\u001b[0m\n",
+      "                  *%%%%%%%+------=*%%%%%%%-       \u001b[92m---------------------------\u001b[0m\n",
+      "                  *%%%%%%%%%%%%%%%%%%%%%%%-       \u001b[93mStart date:\u001b[0m\u001b[92m 2022-12-20 00:00:00\u001b[0m\n",
+      "                  .%%%%%%%%%%%%%%%%%%%%%%#        \u001b[93mEnd date:\u001b[0m\u001b[92m 2023-06-01 00:00:00\u001b[0m\n",
+      "                   #%%%####%%%%%%%%**#%%%+        \u001b[93mNumber of days:\u001b[0m\u001b[92m\u001b[0m\u001b[92m 163\u001b[0m\n",
+      "             .:-+*%%%%- \u001b[95m-+..#\u001b[0m%%%+.\u001b[95m+-  +\u001b[0m%%%#*=-:   \u001b[93mNumber of runs:\u001b[0m\u001b[92m 1957\u001b[0m\n",
+      "              .:-=*%%%%. \u001b[95m+=\u001b[0m .%%#  \u001b[95m-+.-\u001b[0m%%%%=-:..   \u001b[93mNumber of orders:\u001b[0m\u001b[92m 39\u001b[0m\n",
+      "              .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:    \u001b[93mInitial balance:\u001b[0m\u001b[92m 1000.0\u001b[0m\n",
+      "                    +%%%%%%%%%%%%%%%%%%%=         \u001b[93mFinal balance:\u001b[0m\u001b[92m 1125.2748\u001b[0m\n",
+      "                :++  .=#%%%%%%%%%%%%%*-           \u001b[93mTotal net gain:\u001b[0m\u001b[92m 119.9648 12.0%\u001b[0m\n",
+      "               :++:      :+%%%%%%#-.              \u001b[93mGrowth:\u001b[0m\u001b[92m 125.2748 12.53%\u001b[0m\n",
+      "              :++:        .%%%%%#=                \u001b[93mNumber of trades closed:\u001b[0m\u001b[92m 1\u001b[0m\n",
+      "             :++:        .#%%%%%#*=               \u001b[93mNumber of trades open(end of backtest):\u001b[0m\u001b[92m 1\u001b[0m\n",
+      "            :++-        :%%%%%%%%%+=              \u001b[93mPercentage positive trades:\u001b[0m\u001b[92m 26.31578947368421%\u001b[0m\n",
+      "           .++-        -%%%%%%%%%%%+=             \u001b[93mPercentage negative trades:\u001b[0m\u001b[92m 73.68421052631578%\u001b[0m\n",
+      "          .++-        .%%%%%%%%%%%%%+=            \u001b[93mAverage trade size:\u001b[0m\u001b[92m 248.6320 EUR\u001b[0m\n",
+      "         .++-         *%%%%%%%%%%%%%*+:           \u001b[93mAverage trade duration:\u001b[0m\u001b[92m 106.10526315789474 hours\u001b[0m\n",
+      "        .++-          %%%%%%%%%%%%%%#+=\n",
+      "        =++........:::%%%%%%%%%%%%%%*+-\n",
+      "        .=++++++++++**#%%%%%%%%%%%%%++.\n",
+      "        \n",
+      "\u001b[93mPositions overview\u001b[0m\n",
+      "╭────────────┬──────────┬──────────────────────┬───────────────────────┬──────────────┬───────────────┬───────────────────────────┬────────────────┬───────────────╮\n",
+      "│ Position   │   Amount │   Pending buy amount │   Pending sell amount │   Cost (EUR) │   Value (EUR) │ Percentage of portfolio   │   Growth (EUR) │ Growth_rate   │\n",
+      "├────────────┼──────────┼──────────────────────┼───────────────────────┼──────────────┼───────────────┼───────────────────────────┼────────────────┼───────────────┤\n",
+      "│ EUR        │   870.75 │                    0 │                     0 │      870.75  │       870.75  │ 77.3811%                  │           0    │ 0.0000%       │\n",
+      "├────────────┼──────────┼──────────────────────┼───────────────────────┼──────────────┼───────────────┼───────────────────────────┼────────────────┼───────────────┤\n",
+      "│ BTC        │     0.01 │                    0 │                     0 │      249.215 │       254.525 │ 22.6189%                  │           5.31 │ 2.1307%       │\n",
+      "╰────────────┴──────────┴──────────────────────┴───────────────────────┴──────────────┴───────────────┴───────────────────────────┴────────────────┴───────────────╯\n",
+      "\u001b[93mTrades overview\u001b[0m\n",
+      "╭─────────┬─────────────────────┬─────────────────────┬────────────────────┬──────────────┬─────────────────────┬───────────────────────┬────────────────────┬─────────────────────────────┬───────────────────────╮\n",
+      "│ Pair    │ Open date           │ Close date          │ Duration (hours)   │   Cost (EUR) │ Net gain (EUR)      │ Net gain percentage   │   Open price (EUR) │   Last reported price (EUR) │ Stop loss triggered   │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2022-12-26 02:00:00 │ 2022-12-26 22:00:00 │ 20:00:00           │      249.489 │ -1.1461             │ -0.4594%              │            15891   │                       15815 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2022-12-26 22:00:00 │ 2022-12-27 06:00:00 │ 8:00:00            │      248.814 │ -0.3690             │ -0.1483%              │            15848   │                       15802 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-01-02 12:00:00 │ 2023-01-31 06:00:00 │ 28 days, 18:00:00  │      248.716 │ 85.8918             │ 34.5341%              │            15642.5 │                       21000 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-02-01 22:00:00 │ 2023-02-05 20:00:00 │ 3 days, 22:00:00   │      248.222 │ -4.5597             │ -1.8370%              │            21584.5 │                       21216 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-02-07 22:00:00 │ 2023-02-09 02:00:00 │ 1 day, 4:00:00     │      248.745 │ -2.3518             │ -0.9454%              │            21630   │                       21378 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-02-15 08:00:00 │ 2023-02-22 16:00:00 │ 7 days, 8:00:00    │      249.677 │ 21.8647             │ 8.7572%               │            20634.5 │                       22338 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-03-13 02:00:00 │ 2023-03-23 14:00:00 │ 10 days, 12:00:00  │      248.02  │ 53.3655             │ 21.5166%              │            20842   │                       25207 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-03-23 14:00:00 │ 2023-03-25 12:00:00 │ 1 day, 22:00:00    │      247.92  │ -2.3376             │ -0.9429%              │            25825   │                       25581 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-03-26 12:00:00 │ 2023-03-27 16:00:00 │ 1 day, 4:00:00     │      249.883 │ -8.2176             │ -3.2886%              │            26029.5 │                       24973 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-03-29 14:00:00 │ 2023-04-03 08:00:00 │ 4 days, 18:00:00   │      248.587 │ -4.1040             │ -1.6509%              │            26167   │                       25796 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-04-05 10:00:00 │ 2023-04-05 16:00:00 │ 6:00:00            │      247.622 │ -2.5460             │ -1.0282%              │            26065.5 │                       25718 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-04-09 22:00:00 │ 2023-04-17 12:00:00 │ 7 days, 14:00:00   │      247.484 │ 9.6283              │ 3.8904%               │            26051   │                       26973 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-04-18 20:00:00 │ 2023-04-19 12:00:00 │ 16:00:00           │      248.656 │ -7.7445             │ -3.1145%              │            27628.5 │                       26844 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-04-26 06:00:00 │ 2023-05-01 12:00:00 │ 5 days, 6:00:00    │      248.05  │ 1.2336              │ 0.4973%               │            25838.5 │                       25948 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-05-04 08:00:00 │ 2023-05-08 00:00:00 │ 3 days, 16:00:00   │      249.845 │ -2.5033             │ -1.0019%              │            26299.5 │                       25868 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-05-15 06:00:00 │ 2023-05-17 06:00:00 │ 2 days, 0:00:00    │      247.626 │ -3.6897             │ -1.4900%              │            25268   │                       24851 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-05-17 20:00:00 │ 2023-05-19 12:00:00 │ 1 day, 16:00:00    │      249.822 │ -3.6036             │ -1.4425%              │            25234.5 │                       24865 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-05-20 22:00:00 │ 2023-05-21 18:00:00 │ 20:00:00           │      247.926 │ -1.6335             │ -0.6589%              │            25043   │                       24858 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-05-23 04:00:00 │ 2023-05-24 14:00:00 │ 1 day, 10:00:00    │      248.322 │ -7.2128             │ -2.9046%              │            25339   │                       24579 │ False                 │\n",
+      "├─────────┼─────────────────────┼─────────────────────┼────────────────────┼──────────────┼─────────────────────┼───────────────────────┼────────────────────┼─────────────────────────────┼───────────────────────┤\n",
+      "│ BTC-EUR │ 2023-05-27 02:00:00 │                     │ 4 days, 22:00:00   │      249.215 │ 4.3650 (unrealized) │ 1.7515% (unrealized)  │            24921.5 │                       25358 │ False                 │\n",
+      "╰─────────┴─────────────────────┴─────────────────────┴────────────────────┴──────────────┴─────────────────────┴───────────────────────┴────────────────────┴─────────────────────────────┴───────────────────────╯\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
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-         "name": "Sell",
+         "mode": "lines",
+         "name": "Close price up turn",
+         "type": "scatter",
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          "title": {
           "text": "Prices up turn"
          }
-        },
-        "title": {
-         "text": "Up turn backtest date range trades overview for best performing algorithm"
-        },
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-       },
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up turn\"}},\"title\":{\"text\":\"Up turn backtest date range trades overview for best performing algorithm\"},\"height\":600,\"width\":800},                        {\"responsive\": true}                    ).then(function(){\n                            \nvar gd = document.getElementById('05599687-764b-4ef9-b14e-4b460311a068');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n  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+      }
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "from investing_algorithm_framework import pretty_print_backtest, create_trade_exit_markers_chart, create_trade_entry_markers_chart\n",
+    "from investing_algorithm_framework import pretty_print_backtest, \\\n",
+    "    BacktestReportsEvaluation\n",
     "import pandas as pd\n",
     "\n",
     "# Set the weights for the evaluation criteria, where we prioritize the profit over the growth\n",
+    "evaluation = BacktestReportsEvaluation(reports)\n",
     "algorithm_name = evaluation.rank(weight_profit=0.7, weight_growth=0.3)\n",
     "print(f\"The winning algorithm is {algorithm_name}\")\n",
     "\n",
     "# Highlight the winning strategy by displaying the backtest result of the up turn date range\n",
-    "up_turn_report = evaluation.get_report(name=algorithm_name, backtest_date_range=up_turn_date_range)\n",
+    "up_turn_report = evaluation.get_report(\n",
+    "    name=algorithm_name, backtest_date_range=up_turn_date_range\n",
+    ")\n",
     "pretty_print_backtest(up_turn_report)\n",
     "\n",
     "from plotly.subplots import make_subplots\n",
@@ -27373,91 +19936,95 @@
     "df_up_turn.set_index('Datetime', inplace=True)\n",
     "\n",
     "fig.add_trace(create_prices_graph(df_up_turn, name=\"Close price up turn\", color=\"blue\"), row=1, col=1)\n",
-    "fig.add_trace(create_trade_entry_markers_chart(df_up_turn, up_turn_report.trades), row=1, col=1)\n",
-    "fig.add_trace(create_trade_exit_markers_chart(df_up_turn, up_turn_report.trades), row=1, col=1)\n",
+    "fig.add_trace(\n",
+    "    create_entry_graph(df_up_turn, up_turn_report.trades), row=1, col=1\n",
+    ")\n",
+    "fig.add_trace(\n",
+    "    create_exit_graph(df_up_turn, up_turn_report.trades), row=1, col=1\n",
+    ")\n",
     "fig.update_layout(height=600, width=800, title_text=\"Up turn backtest date range trades overview for best performing algorithm\")\n",
     "fig.update_xaxes(title_text=\"Date\", row=1, col=1)\n",
     "fig.update_yaxes(title_text=\"Prices up turn\", row=1, col=1)\n",
     "fig.show()"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "## Step 6: Optimizing the winning strategy with different parameters"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "## Step 6: Optimizing the winning strategy with different parameters"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001B[93mRunning backtests for date range:\u001B[0m \u001B[92mdown_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 for a total of 4 algorithms.\u001B[0m\n"
+      "\u001b[93mRunning backtests for date range:\u001b[0m \u001b[92mdown_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 for a total of 4 algorithms.\u001b[0m\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 875.64it/s]\n",
-      "Running backtest for algorithm with name primary_21_50: 100%|\u001B[32m██████████\u001B[0m| 2173/2173 [00:12<00:00, 170.01it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1153.55it/s]\n",
-      "Running backtest for algorithm with name primary_21_75: 100%|\u001B[32m██████████\u001B[0m| 2173/2173 [00:10<00:00, 202.24it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 778.24it/s]\n",
-      "Running backtest for algorithm with name primary_50_100: 100%|\u001B[32m██████████\u001B[0m| 2173/2173 [00:09<00:00, 234.25it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1085.76it/s]\n",
-      "Running backtest for algorithm with name primary_50_200: 100%|\u001B[32m██████████\u001B[0m| 2173/2173 [00:09<00:00, 231.95it/s]\n"
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 81.52it/s]\n",
+      "Running backtest for algorithm with name primary_21_50: 100%|\u001b[32m██████████\u001b[0m| 2173/2173 [00:19<00:00, 109.79it/s]\n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 195.99it/s]\n",
+      "Running backtest for algorithm with name primary_21_75: 100%|\u001b[32m██████████\u001b[0m| 2173/2173 [00:23<00:00, 93.20it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 61.48it/s]\n",
+      "Running backtest for algorithm with name primary_50_100: 100%|\u001b[32m██████████\u001b[0m| 2173/2173 [00:20<00:00, 104.58it/s]\n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 276.06it/s]\n",
+      "Running backtest for algorithm with name primary_50_200: 100%|\u001b[32m██████████\u001b[0m| 2173/2173 [00:19<00:00, 112.87it/s]\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001B[93mRunning backtests for date range:\u001B[0m \u001B[92mup_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 for a total of 4 algorithms.\u001B[0m\n"
+      "\u001b[93mRunning backtests for date range:\u001b[0m \u001b[92mup_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 for a total of 4 algorithms.\u001b[0m\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 978.04it/s]\n",
-      "Running backtest for algorithm with name primary_21_50: 100%|\u001B[32m██████████\u001B[0m| 1957/1957 [00:09<00:00, 202.39it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1133.75it/s]\n",
-      "Running backtest for algorithm with name primary_21_75: 100%|\u001B[32m██████████\u001B[0m| 1957/1957 [00:08<00:00, 218.84it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1178.51it/s]\n",
-      "Running backtest for algorithm with name primary_50_100: 100%|\u001B[32m██████████\u001B[0m| 1957/1957 [00:07<00:00, 249.54it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 960.23it/s]\n",
-      "Running backtest for algorithm with name primary_50_200: 100%|\u001B[32m██████████\u001B[0m| 1957/1957 [00:07<00:00, 264.58it/s]\n"
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 181.62it/s]\n",
+      "Running backtest for algorithm with name primary_21_50: 100%|\u001b[32m██████████\u001b[0m| 1957/1957 [00:22<00:00, 88.41it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 151.12it/s]\n",
+      "Running backtest for algorithm with name primary_21_75: 100%|\u001b[32m██████████\u001b[0m| 1957/1957 [00:21<00:00, 92.59it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 260.08it/s]\n",
+      "Running backtest for algorithm with name primary_50_100: 100%|\u001b[32m██████████\u001b[0m| 1957/1957 [00:17<00:00, 109.98it/s]\n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 230.50it/s]\n",
+      "Running backtest for algorithm with name primary_50_200: 100%|\u001b[32m██████████\u001b[0m| 1957/1957 [00:19<00:00, 102.87it/s]\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001B[93mRunning backtests for date range:\u001B[0m \u001B[92msideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 for a total of 4 algorithms.\u001B[0m\n"
+      "\u001b[93mRunning backtests for date range:\u001b[0m \u001b[92msideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 for a total of 4 algorithms.\u001b[0m\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1031.05it/s]\n",
-      "Running backtest for algorithm with name primary_21_50: 100%|\u001B[32m██████████\u001B[0m| 2569/2569 [00:12<00:00, 209.66it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1356.06it/s]\n",
-      "Running backtest for algorithm with name primary_21_75: 100%|\u001B[32m██████████\u001B[0m| 2569/2569 [00:11<00:00, 217.44it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 949.69it/s]\n",
-      "Running backtest for algorithm with name primary_50_100: 100%|\u001B[32m██████████\u001B[0m| 2569/2569 [00:11<00:00, 232.72it/s]\n",
-      "Preparing backtest market data: 100%|\u001B[32m██████████\u001B[0m| 2/2 [00:00<00:00, 1103.04it/s]\n",
-      "Running backtest for algorithm with name primary_50_200: 100%|\u001B[32m██████████\u001B[0m| 2569/2569 [00:10<00:00, 240.03it/s]"
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 150.94it/s]\n",
+      "Running backtest for algorithm with name primary_21_50: 100%|\u001b[32m██████████\u001b[0m| 2569/2569 [00:30<00:00, 85.42it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 361.66it/s]\n",
+      "Running backtest for algorithm with name primary_21_75: 100%|\u001b[32m██████████\u001b[0m| 2569/2569 [00:27<00:00, 93.56it/s] \n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 333.78it/s]\n",
+      "Running backtest for algorithm with name primary_50_100: 100%|\u001b[32m██████████\u001b[0m| 2569/2569 [00:23<00:00, 110.81it/s]\n",
+      "Preparing backtest market data: 100%|\u001b[32m██████████\u001b[0m| 2/2 [00:00<00:00, 113.52it/s]\n",
+      "Running backtest for algorithm with name primary_50_200: 100%|\u001b[32m██████████\u001b[0m| 2569/2569 [00:21<00:00, 118.72it/s]"
      ]
     },
     {
@@ -27465,145 +20032,151 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "              :%%%#+-          .=*#%%%      \u001B[92mBacktest reports evaluation\u001B[0m\n",
-      "              *%%%%%%%+------=*%%%%%%%-     \u001B[92m---------------------------\u001B[0m\n",
-      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001B[93mNumber of reports:\u001B[0m \u001B[92m4 backtest reports\u001B[0m\n",
-      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001B[93mLargest overall profit:\u001B[0m\u001B[92m\u001B[0m\u001B[92m (Algorithm primary_21_50) 121.6183 EUR 12.1618% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001B[0m \n",
-      "               #%%%####%%%%%%%%**#%%%+      \u001B[93mLargest overall growth:\u001B[0m\u001B[92m (Algorithm primary_21_50) 127.5655 EUR 12.7565% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001B[0m\n",
-      "         .:-+*%%%%- \u001B[95m-+..#\u001B[0m%%%+.\u001B[95m+-  +\u001B[0m%%%#*=-: \n",
-      "          .:-=*%%%%. \u001B[95m+=\u001B[0m .%%#  \u001B[95m-+.-\u001B[0m%%%%=-:.. \n",
-      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:  \n",
-      "                +%%%%%%%%%%%%%%%%%%%=       \n",
-      "            :++  .=#%%%%%%%%%%%%%*-         \n",
-      "           :++:      :+%%%%%%#-.            \n",
-      "          :++:        .%%%%%#=              \n",
-      "         :++:        .#%%%%%#*=             \n",
-      "        :++-        :%%%%%%%%%+=            \n",
-      "       .++-        -%%%%%%%%%%%+=           \n",
-      "      .++-        .%%%%%%%%%%%%%+=          \n",
-      "     .++-         *%%%%%%%%%%%%%*+:         \n",
-      "    .++-          %%%%%%%%%%%%%%#+=         \n",
-      "    =++........:::%%%%%%%%%%%%%%*+-         \n",
-      "    .=++++++++++**#%%%%%%%%%%%%%++.         \n",
+      "              :%%%#+-          .=*#%%%      \u001b[92mBacktest reports evaluation\u001b[0m\n",
+      "              *%%%%%%%+------=*%%%%%%%-     \u001b[92m---------------------------\u001b[0m\n",
+      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001b[93mNumber of reports:\u001b[0m \u001b[92m4 backtest reports\u001b[0m\n",
+      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001b[93mLargest overall profit:\u001b[0m\u001b[92m\u001b[0m\u001b[92m (Algorithm primary_21_50) 119.9648 EUR 11.9965% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001b[0m\n",
+      "               #%%%####%%%%%%%%**#%%%+      \u001b[93mLargest overall growth:\u001b[0m\u001b[92m (Algorithm primary_21_50) 125.2748 EUR 12.5275% (up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00)\u001b[0m\n",
+      "         .:-+*%%%%- \u001b[95m-+..#\u001b[0m%%%+.\u001b[95m+-  +\u001b[0m%%%#*=-:\n",
+      "          .:-=*%%%%. \u001b[95m+=\u001b[0m .%%#  \u001b[95m-+.-\u001b[0m%%%%=-:..\n",
+      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:\n",
+      "                +%%%%%%%%%%%%%%%%%%%=\n",
+      "            :++  .=#%%%%%%%%%%%%%*-\n",
+      "           :++:      :+%%%%%%#-.\n",
+      "          :++:        .%%%%%#=\n",
+      "         :++:        .#%%%%%#*=\n",
+      "        :++-        :%%%%%%%%%+=\n",
+      "       .++-        -%%%%%%%%%%%+=\n",
+      "      .++-        .%%%%%%%%%%%%%+=\n",
+      "     .++-         *%%%%%%%%%%%%%*+:\n",
+      "    .++-          %%%%%%%%%%%%%%#+=\n",
+      "    =++........:::%%%%%%%%%%%%%%*+-\n",
+      "    .=++++++++++**#%%%%%%%%%%%%%++.\n",
       "    \n",
-      "\u001B[93mAll profits ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬───────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Profit       │ Profit percentage   │ Date range                                        │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_50    │ 121.6183 EUR │ 12.1618%            │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1127.57 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_75    │ 120.0602 EUR │ 12.0060%            │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1126.31 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_200   │ 84.0464 EUR  │ 8.4046%             │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1085.4  │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_100   │ 54.1972 EUR  │ 5.4197%             │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1055.91 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴───────────────────────────────────────────────────┴───────────────╯\n",
-      "\u001B[93mAll growths ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬───────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Growth       │ Growth percentage   │ Date range                                        │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_50    │ 127.5655 EUR │ 12.7565%            │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1127.57 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_75    │ 126.3098 EUR │ 12.6310%            │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1126.31 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_200   │ 85.3999 EUR  │ 8.5400%             │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1085.4  │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_100   │ 55.9132 EUR  │ 5.5913%             │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1055.91 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴───────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mPrice noise\u001b[0m\n",
+      "\n",
+      "\u001b[93mAll profits ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬───────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Profit       │ Profit percentage   │ Percentage positive trades   │ Date range                                        │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_50    │ 119.9648 EUR │ 11.9965%            │ 26%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1125.27 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_75    │ 118.5247 EUR │ 11.8525%            │ 29%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1124.1  │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_200   │ 79.6898 EUR  │ 7.9690%             │ 67%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1079.69 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_100   │ 9.7453 EUR   │ 0.9745%             │ 40%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1011.36 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴───────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mAll growths ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬───────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Growth       │ Growth percentage   │ Percentage positive trades   │ Date range                                        │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_50    │ 125.2748 EUR │ 12.5275%            │ 26%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1125.27 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_75    │ 124.1047 EUR │ 12.4105%            │ 29%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1124.1  │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_200   │ 79.6898 EUR  │ 7.9690%             │ 67%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1079.69 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼───────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_100   │ 11.3623 EUR  │ 1.1362%             │ 40%                          │ up_turn 2022-12-20 00:00:00 - 2023-06-01 00:00:00 │       1011.36 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴───────────────────────────────────────────────────┴───────────────╯\n",
       "The winning configuration for the up turn backtest date range is primary_21_50\n",
       "\n",
-      "              :%%%#+-          .=*#%%%      \u001B[92mBacktest reports evaluation\u001B[0m\n",
-      "              *%%%%%%%+------=*%%%%%%%-     \u001B[92m---------------------------\u001B[0m\n",
-      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001B[93mNumber of reports:\u001B[0m \u001B[92m4 backtest reports\u001B[0m\n",
-      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001B[93mLargest overall profit:\u001B[0m\u001B[92m\u001B[0m\u001B[92m (Algorithm primary_21_50) -8.5178 EUR -0.8518% (sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00)\u001B[0m \n",
-      "               #%%%####%%%%%%%%**#%%%+      \u001B[93mLargest overall growth:\u001B[0m\u001B[92m (Algorithm primary_21_50) -2.3874 EUR -0.2387% (sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00)\u001B[0m\n",
-      "         .:-+*%%%%- \u001B[95m-+..#\u001B[0m%%%+.\u001B[95m+-  +\u001B[0m%%%#*=-: \n",
-      "          .:-=*%%%%. \u001B[95m+=\u001B[0m .%%#  \u001B[95m-+.-\u001B[0m%%%%=-:.. \n",
-      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:  \n",
-      "                +%%%%%%%%%%%%%%%%%%%=       \n",
-      "            :++  .=#%%%%%%%%%%%%%*-         \n",
-      "           :++:      :+%%%%%%#-.            \n",
-      "          :++:        .%%%%%#=              \n",
-      "         :++:        .#%%%%%#*=             \n",
-      "        :++-        :%%%%%%%%%+=            \n",
-      "       .++-        -%%%%%%%%%%%+=           \n",
-      "      .++-        .%%%%%%%%%%%%%+=          \n",
-      "     .++-         *%%%%%%%%%%%%%*+:         \n",
-      "    .++-          %%%%%%%%%%%%%%#+=         \n",
-      "    =++........:::%%%%%%%%%%%%%%*+-         \n",
-      "    .=++++++++++**#%%%%%%%%%%%%%++.         \n",
+      "              :%%%#+-          .=*#%%%      \u001b[92mBacktest reports evaluation\u001b[0m\n",
+      "              *%%%%%%%+------=*%%%%%%%-     \u001b[92m---------------------------\u001b[0m\n",
+      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001b[93mNumber of reports:\u001b[0m \u001b[92m4 backtest reports\u001b[0m\n",
+      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001b[93mLargest overall profit:\u001b[0m\u001b[92m\u001b[0m\u001b[92m (Algorithm primary_21_50) -8.2249 EUR -0.8225% (sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00)\u001b[0m\n",
+      "               #%%%####%%%%%%%%**#%%%+      \u001b[93mLargest overall growth:\u001b[0m\u001b[92m (Algorithm primary_21_50) -2.0557 EUR -0.2056% (sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00)\u001b[0m\n",
+      "         .:-+*%%%%- \u001b[95m-+..#\u001b[0m%%%+.\u001b[95m+-  +\u001b[0m%%%#*=-:\n",
+      "          .:-=*%%%%. \u001b[95m+=\u001b[0m .%%#  \u001b[95m-+.-\u001b[0m%%%%=-:..\n",
+      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:\n",
+      "                +%%%%%%%%%%%%%%%%%%%=\n",
+      "            :++  .=#%%%%%%%%%%%%%*-\n",
+      "           :++:      :+%%%%%%#-.\n",
+      "          :++:        .%%%%%#=\n",
+      "         :++:        .#%%%%%#*=\n",
+      "        :++-        :%%%%%%%%%+=\n",
+      "       .++-        -%%%%%%%%%%%+=\n",
+      "      .++-        .%%%%%%%%%%%%%+=\n",
+      "     .++-         *%%%%%%%%%%%%%*+:\n",
+      "    .++-          %%%%%%%%%%%%%%#+=\n",
+      "    =++........:::%%%%%%%%%%%%%%*+-\n",
+      "    .=++++++++++**#%%%%%%%%%%%%%++.\n",
       "    \n",
-      "\u001B[93mAll profits ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬────────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Profit       │ Profit percentage   │ Date range                                         │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_50    │ -8.5178 EUR  │ -0.8518%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       997.613 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_75    │ -12.4677 EUR │ -1.2468%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       993.279 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_200   │ -27.2777 EUR │ -2.7278%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       975.484 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_100   │ -42.4574 EUR │ -4.2457%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       961.348 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴────────────────────────────────────────────────────┴───────────────╯\n",
-      "\u001B[93mAll growths ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬────────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Growth       │ Growth percentage   │ Date range                                         │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_50    │ -2.3874 EUR  │ -0.2387%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       997.613 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_75    │ -6.7215 EUR  │ -0.6722%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       993.279 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_200   │ -24.5160 EUR │ -2.4516%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       975.484 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_100   │ -38.6522 EUR │ -3.8652%            │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       961.348 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴────────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mPrice noise\u001b[0m\n",
+      "\n",
+      "\u001b[93mAll profits ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬────────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Profit       │ Profit percentage   │ Percentage positive trades   │ Date range                                         │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_50    │ -8.2249 EUR  │ -0.8225%            │ 32%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       997.944 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_75    │ -10.4957 EUR │ -1.0496%            │ 33%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       995.324 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_200   │ -32.8569 EUR │ -3.2857%            │ 50%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       969.977 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_100   │ -47.5249 EUR │ -4.7525%            │ 14%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       952.475 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴────────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mAll growths ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬────────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Growth       │ Growth percentage   │ Percentage positive trades   │ Date range                                         │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_50    │ -2.0557 EUR  │ -0.2056%            │ 32%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       997.944 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_75    │ -4.6763 EUR  │ -0.4676%            │ 33%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       995.324 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_200   │ -30.0231 EUR │ -3.0023%            │ 50%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       969.977 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_100   │ -47.5249 EUR │ -4.7525%            │ 14%                          │ sideways 2022-06-10 00:00:00 - 2023-01-10 00:00:00 │       952.475 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴────────────────────────────────────────────────────┴───────────────╯\n",
       "The winning configuration for the side ways backtest date range is None\n",
       "\n",
-      "              :%%%#+-          .=*#%%%      \u001B[92mBacktest reports evaluation\u001B[0m\n",
-      "              *%%%%%%%+------=*%%%%%%%-     \u001B[92m---------------------------\u001B[0m\n",
-      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001B[93mNumber of reports:\u001B[0m \u001B[92m4 backtest reports\u001B[0m\n",
-      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001B[93mLargest overall profit:\u001B[0m\u001B[92m\u001B[0m\u001B[92m (Algorithm primary_50_100) -40.0021 EUR -4.0002% (down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00)\u001B[0m \n",
-      "               #%%%####%%%%%%%%**#%%%+      \u001B[93mLargest overall growth:\u001B[0m\u001B[92m (Algorithm primary_50_100) -40.0021 EUR -4.0002% (down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00)\u001B[0m\n",
-      "         .:-+*%%%%- \u001B[95m-+..#\u001B[0m%%%+.\u001B[95m+-  +\u001B[0m%%%#*=-: \n",
-      "          .:-=*%%%%. \u001B[95m+=\u001B[0m .%%#  \u001B[95m-+.-\u001B[0m%%%%=-:.. \n",
-      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:  \n",
-      "                +%%%%%%%%%%%%%%%%%%%=       \n",
-      "            :++  .=#%%%%%%%%%%%%%*-         \n",
-      "           :++:      :+%%%%%%#-.            \n",
-      "          :++:        .%%%%%#=              \n",
-      "         :++:        .#%%%%%#*=             \n",
-      "        :++-        :%%%%%%%%%+=            \n",
-      "       .++-        -%%%%%%%%%%%+=           \n",
-      "      .++-        .%%%%%%%%%%%%%+=          \n",
-      "     .++-         *%%%%%%%%%%%%%*+:         \n",
-      "    .++-          %%%%%%%%%%%%%%#+=         \n",
-      "    =++........:::%%%%%%%%%%%%%%*+-         \n",
-      "    .=++++++++++**#%%%%%%%%%%%%%++.         \n",
+      "              :%%%#+-          .=*#%%%      \u001b[92mBacktest reports evaluation\u001b[0m\n",
+      "              *%%%%%%%+------=*%%%%%%%-     \u001b[92m---------------------------\u001b[0m\n",
+      "              *%%%%%%%%%%%%%%%%%%%%%%%-     \u001b[93mNumber of reports:\u001b[0m \u001b[92m4 backtest reports\u001b[0m\n",
+      "              .%%%%%%%%%%%%%%%%%%%%%%#      \u001b[93mLargest overall profit:\u001b[0m\u001b[92m\u001b[0m\u001b[92m (Algorithm primary_50_200) -33.8225 EUR -3.3823% (down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00)\u001b[0m\n",
+      "               #%%%####%%%%%%%%**#%%%+      \u001b[93mLargest overall growth:\u001b[0m\u001b[92m (Algorithm primary_50_200) -33.8226 EUR -3.3823% (down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00)\u001b[0m\n",
+      "         .:-+*%%%%- \u001b[95m-+..#\u001b[0m%%%+.\u001b[95m+-  +\u001b[0m%%%#*=-:\n",
+      "          .:-=*%%%%. \u001b[95m+=\u001b[0m .%%#  \u001b[95m-+.-\u001b[0m%%%%=-:..\n",
+      "          .:=+#%%%%%*###%%%%#*+#%%%%%%*+-:\n",
+      "                +%%%%%%%%%%%%%%%%%%%=\n",
+      "            :++  .=#%%%%%%%%%%%%%*-\n",
+      "           :++:      :+%%%%%%#-.\n",
+      "          :++:        .%%%%%#=\n",
+      "         :++:        .#%%%%%#*=\n",
+      "        :++-        :%%%%%%%%%+=\n",
+      "       .++-        -%%%%%%%%%%%+=\n",
+      "      .++-        .%%%%%%%%%%%%%+=\n",
+      "     .++-         *%%%%%%%%%%%%%*+:\n",
+      "    .++-          %%%%%%%%%%%%%%#+=\n",
+      "    =++........:::%%%%%%%%%%%%%%*+-\n",
+      "    .=++++++++++**#%%%%%%%%%%%%%++.\n",
       "    \n",
-      "\u001B[93mAll profits ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Profit       │ Profit percentage   │ Date range                                          │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_100   │ -40.0021 EUR │ -4.0002%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       959.998 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_50    │ -57.1643 EUR │ -5.7164%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       942.836 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_200   │ -65.6861 EUR │ -6.5686%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       934.314 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_75    │ -74.4635 EUR │ -7.4464%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       925.537 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n",
-      "\u001B[93mAll growths ordered\u001B[0m\n",
-      "╭──────────────────┬──────────────┬─────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
-      "│ Algorithm name   │ Growth       │ Growth percentage   │ Date range                                          │   Total value │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_100   │ -40.0021 EUR │ -4.0002%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       959.998 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_50    │ -57.1643 EUR │ -5.7164%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       942.836 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_50_200   │ -65.6861 EUR │ -6.5686%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       934.314 │\n",
-      "├──────────────────┼──────────────┼─────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
-      "│ primary_21_75    │ -74.4635 EUR │ -7.4463%            │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       925.537 │\n",
-      "╰──────────────────┴──────────────┴─────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mPrice noise\u001b[0m\n",
+      "\n",
+      "\u001b[93mAll profits ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Profit       │ Profit percentage   │ Percentage positive trades   │ Date range                                          │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_200   │ -33.8225 EUR │ -3.3823%            │ 20%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       966.177 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_100   │ -68.4083 EUR │ -6.8408%            │ 18%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       931.592 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_75    │ -76.2687 EUR │ -7.6269%            │ 16%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       923.731 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_50    │ -95.0346 EUR │ -9.5035%            │ 19%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       904.965 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n",
+      "\u001b[93mAll growths ordered\u001b[0m\n",
+      "╭──────────────────┬──────────────┬─────────────────────┬──────────────────────────────┬─────────────────────────────────────────────────────┬───────────────╮\n",
+      "│ Algorithm name   │ Growth       │ Growth percentage   │ Percentage positive trades   │ Date range                                          │   Total value │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_200   │ -33.8226 EUR │ -3.3823%            │ 20%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       966.177 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_50_100   │ -68.4082 EUR │ -6.8408%            │ 18%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       931.592 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_75    │ -76.2687 EUR │ -7.6269%            │ 16%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       923.731 │\n",
+      "├──────────────────┼──────────────┼─────────────────────┼──────────────────────────────┼─────────────────────────────────────────────────────┼───────────────┤\n",
+      "│ primary_21_50    │ -95.0346 EUR │ -9.5035%            │ 19%                          │ down_turn 2021-12-21 00:00:00 - 2022-06-20 00:00:00 │       904.965 │\n",
+      "╰──────────────────┴──────────────┴─────────────────────┴──────────────────────────────┴─────────────────────────────────────────────────────┴───────────────╯\n",
       "The winning configuration for the down turn backtest date range is None\n"
      ]
     },
@@ -27647,7 +20220,7 @@
     "algorithms = []\n",
     "\n",
     "for configuration in configurations:\n",
-    "    algorithm = create_primary_algorithm(**configuration)\n",
+    "    algorithm = create_algorithm(**configuration)\n",
     "    algorithms.append(algorithm)\n",
     "\n",
     "reports = app.run_backtests(algorithms=algorithms, date_ranges=[down_turn_date_range, up_turn_date_range, sideways_date_range])\n",
@@ -27663,49 +20236,46 @@
     "pretty_print_backtest_reports_evaluation(evaluation, backtest_date_range=down_turn_date_range)\n",
     "winning_configuration = evaluation.rank(weight_profit=0.7, weight_growth=0.3, backtest_date_range=down_turn_date_range)\n",
     "print(f\"The winning configuration for the down turn backtest date range is {winning_configuration}\")"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "## Conclusion"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "## Conclusion"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "In this guide we have demonstrated how to leverage the backtests functionality within the Investing Algorithm Framework to conduct A/B Testing effectively. We have compared the performance of multiple models, such as challenger versus champion, and experimented with diverse backtest date ranges and parameter configurations. This process of comparing the challenger model to the production model, or champion, falls under the umbrella of model validation or model evaluation. It entails meticulously assessing the challenger model's performance in relation to the established production model. The Experiment functionality proves invaluable for fine-tuning strategy parameters and comparing different strategies, whether it's testing a new challenger model against the existing production model (champion), or exploring variations in configuration.\n",
     "\n",
     "Also, when selected an algorithm we showed how to test different configurations of the winning algorithm to optimize the strategy. This process is crucial to ensure that the algorithm is performing at its best and to maximize the profit. By following these steps, you can effectively compare different algorithms and configurations to identify the best performing strategy for your trading needs."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.10.16"
   }
  },
  "nbformat": 4,
diff --git a/examples/bitvavo_trading_bot/bitvavo.py b/examples/bitvavo_trading_bot.py
similarity index 85%
rename from examples/bitvavo_trading_bot/bitvavo.py
rename to examples/bitvavo_trading_bot.py
index a3a69852..af0ed44d 100644
--- a/examples/bitvavo_trading_bot/bitvavo.py
+++ b/examples/bitvavo_trading_bot.py
@@ -1,6 +1,9 @@
+from dotenv import load_dotenv
+import logging.config
+
 from investing_algorithm_framework import MarketCredential, TimeUnit, \
     CCXTOHLCVMarketDataSource, CCXTTickerMarketDataSource, TradingStrategy, \
-    create_app, PortfolioConfiguration, Algorithm
+    create_app, PortfolioConfiguration, Algorithm, DEFAULT_LOGGING_CONFIG
 
 """
 Bitvavo trading bot example with market data sources of bitvavo.
@@ -11,11 +14,14 @@
 account on bitvavo.
 """
 
-# Define your market credential for bitvavo
+logging.config.dictConfig(DEFAULT_LOGGING_CONFIG)
+
+# Load the environment variables from the .env file
+load_dotenv()
+
+# Define your market credential for bitvavo, keys are read from .env file
 bitvavo_market_credential = MarketCredential(
     market="bitvavo",
-    api_key="your_api_key",
-    secret_key="your_secret_key"
 )
 # Define your market data sources for coinbase
 bitvavo_btc_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
@@ -48,8 +54,6 @@ def apply_strategy(self, algorithm, market_data):
 # Create an app and add the market data sources and market credentials to it
 app = create_app()
 app.add_market_credential(bitvavo_market_credential)
-app.add_market_data_source(bitvavo_btc_eur_ohlcv_2h)
-app.add_market_data_source(bitvavo_btc_eur_ticker)
 
 # Register your algorithm and portfolio configuration to the app
 app.add_algorithm(algorithm)
diff --git a/examples/bitvavo_trading_bot/__init__.py b/examples/bitvavo_trading_bot/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/coinbase_trading_bot/coinbase.py b/examples/coinbase_trading_bot.py
similarity index 72%
rename from examples/coinbase_trading_bot/coinbase.py
rename to examples/coinbase_trading_bot.py
index 2c2b1331..66064625 100644
--- a/examples/coinbase_trading_bot/coinbase.py
+++ b/examples/coinbase_trading_bot.py
@@ -1,22 +1,25 @@
-import os
-
+from dotenv import load_dotenv
+import logging.config
 from investing_algorithm_framework import MarketCredential, TimeUnit, \
     CCXTOHLCVMarketDataSource, CCXTTickerMarketDataSource, TradingStrategy, \
-    create_app, PortfolioConfiguration, Algorithm, SYMBOLS, RESOURCE_DIRECTORY
-
+    create_app, PortfolioConfiguration, Algorithm, DEFAULT_LOGGING_CONFIG
 """
 Coinbase market data sources example. Coinbase requires you to have an API key
 and secret key to access their market data. You can create them here:
 https://www.coinbase.com/settings/api
 
-You need to add a market credential to the app, and then add market 
-data sources to the app. You can then use the market data 
+You need to add a market credential to the app, and then add market
+data sources to the app. You can then use the market data
 sources in your trading strategy.
 """
-# Define your market credential for coinbase
+
+logging.config.dictConfig(DEFAULT_LOGGING_CONFIG)
+
+# Load the environment variables from the .env file
+load_dotenv()
+
+# Define your market credential for coinbase, keys are read from .env file
 coinbase_market_credential = MarketCredential(
-    api_key="<your_api_key>",
-    secret_key="<your_secret_key>",
     market="coinbase",
 )
 # Define your market data sources for coinbase
@@ -24,7 +27,7 @@
     identifier="BTC/EUR-ohlcv",
     market="coinbase",
     symbol="BTC/EUR",
-    timeframe="2h",
+    time_frame="2h",
     window_size=200
 )
 coinbase_btc_eur_ticker = CCXTTickerMarketDataSource(
@@ -42,18 +45,11 @@ class CoinBaseTradingStrategy(TradingStrategy):
     def apply_strategy(self, algorithm, market_data):
         pass
 
-
-config = {
-    SYMBOLS: ["BTC/EUR"],
-    RESOURCE_DIRECTORY: os.path.join(os.path.dirname(__file__), "resources")
-}
 algorithm = Algorithm()
 algorithm.add_strategy(CoinBaseTradingStrategy)
-app = create_app(config=config)
+app = create_app()
 app.add_algorithm(algorithm)
 app.add_market_credential(coinbase_market_credential)
-app.add_market_data_source(coinbase_btc_eur_ohlcv_2h)
-app.add_market_data_source(coinbase_btc_eur_ticker)
 app.add_portfolio_configuration(PortfolioConfiguration(
     initial_balance=1000,
     trading_symbol="EUR",
diff --git a/examples/coinbase_trading_bot/__init__.py b/examples/coinbase_trading_bot/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/crossover_moving_average_trading_bot/__init__.py b/examples/crossover_moving_average_trading_bot/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/crossover_moving_average_trading_bot/algorithm/__init__.py b/examples/crossover_moving_average_trading_bot/algorithm/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/crossover_moving_average_trading_bot/algorithm/algorithm.py b/examples/crossover_moving_average_trading_bot/algorithm/algorithm.py
deleted file mode 100644
index 6c9caa3c..00000000
--- a/examples/crossover_moving_average_trading_bot/algorithm/algorithm.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from investing_algorithm_framework import Algorithm
-from .strategy import CrossOverStrategy
-
-algorithm = Algorithm()
-algorithm.add_strategy(CrossOverStrategy)
diff --git a/examples/crossover_moving_average_trading_bot/algorithm/data_sources.py b/examples/crossover_moving_average_trading_bot/algorithm/data_sources.py
deleted file mode 100644
index 04243040..00000000
--- a/examples/crossover_moving_average_trading_bot/algorithm/data_sources.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from investing_algorithm_framework import CCXTOHLCVMarketDataSource, \
-    CCXTTickerMarketDataSource
-
-
-bitvavo_btc_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
-    identifier="BTC/EUR-ohlcv",
-    market="BINANCE",
-    symbol="BTC/EUR",
-    timeframe="2h",
-    window_size=200
-)
-bitvavo_dot_eur_ohlcv_2h = CCXTOHLCVMarketDataSource(
-    identifier="DOT/EUR-ohlcv",
-    market="BINANCE",
-    symbol="DOT/EUR",
-    timeframe="2h",
-    window_size=200
-)
-bitvavo_dot_eur_ticker = CCXTTickerMarketDataSource(
-    identifier="DOT/EUR-ticker",
-    market="BINANCE",
-    symbol="DOT/EUR",
-    backtest_timeframe="2h",
-)
-bitvavo_btc_eur_ticker = CCXTTickerMarketDataSource(
-    identifier="BTC/EUR-ticker",
-    market="BINANCE",
-    symbol="BTC/EUR",
-    backtest_timeframe="2h",
-)
diff --git a/examples/crossover_moving_average_trading_bot/algorithm/strategy.py b/examples/crossover_moving_average_trading_bot/algorithm/strategy.py
deleted file mode 100644
index d0e1f1a4..00000000
--- a/examples/crossover_moving_average_trading_bot/algorithm/strategy.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import tulipy as ti
-
-from investing_algorithm_framework import TimeUnit, TradingStrategy, \
-    Algorithm, OrderSide
-from .data_sources import bitvavo_btc_eur_ohlcv_2h, bitvavo_btc_eur_ticker, \
-    bitvavo_dot_eur_ticker, bitvavo_dot_eur_ohlcv_2h
-
-
-"""
-This strategy is based on the golden cross strategy. It will buy when the
-fast moving average crosses the slow moving average from below. It will sell
-when the fast moving average crosses the slow moving average from above.
-
-The strategy will also check if the fast moving average is above the trend
-moving average. If it is not above the trend moving average it will not buy.
-
-It uses tulipy indicators to calculate the metrics. You need to 
-install this library in your environment to run this strategy.
-You can find instructions on how to install tulipy here:
-https://tulipindicators.org/ or go directly to the pypi page:
-https://pypi.org/project/tulipy/
-"""
-
-
-# Define market data sources
-def is_below_trend(fast_series, slow_series):
-    return fast_series[-1] < slow_series[-1]
-
-
-def is_above_trend(fast_series, slow_series):
-    return fast_series[-1] > slow_series[-1]
-
-
-def is_crossover(fast, slow):
-    """
-    Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-    With the given date time it will check if the ma_<period_one> is a
-    crossover with the ma_<period_two>
-    """
-    return fast[-2] <= slow[-2] and fast[-1] > slow[-1]
-
-
-def is_crossunder(fast, slow):
-    """
-    Expect df to have columns: Date, ma_<period_one>, ma_<period_two>.
-    With the given date time it will check if the ma_<period_one> is a
-    crossover with the ma_<period_two>
-    """
-    return fast[-2] >= slow[-2] and fast[-1] < slow[-1]
-
-
-class CrossOverStrategy(TradingStrategy):
-    time_unit = TimeUnit.HOUR
-    interval = 2
-    market_data_sources = [
-        bitvavo_dot_eur_ticker,
-        bitvavo_dot_eur_ohlcv_2h,
-        bitvavo_btc_eur_ticker,
-        bitvavo_btc_eur_ohlcv_2h
-    ]
-    symbols = ["BTC/EUR", "DOT/EUR"]
-
-    def apply_strategy(self, algorithm: Algorithm, market_data):
-
-        for symbol in self.symbols:
-            target_symbol = symbol.split('/')[0]
-
-            if algorithm.has_open_orders(target_symbol):
-                continue
-
-            df = market_data[f"{symbol}-ohlcv"]
-            ticker_data = market_data[f"{symbol}-ticker"]
-            fast = ti.sma(df['Close'].to_numpy(), 9)
-            slow = ti.sma(df['Close'].to_numpy(), 50)
-            trend = ti.sma(df['Close'].to_numpy(), 100)
-            price = ticker_data['bid']
-
-            if not algorithm.has_position(target_symbol) \
-                    and is_crossover(fast, slow)\
-                    and not is_above_trend(fast, trend):
-                algorithm.create_limit_order(
-                    target_symbol=target_symbol,
-                    order_side=OrderSide.BUY,
-                    price=price,
-                    percentage_of_portfolio=25,
-                    precision=4,
-                )
-
-            if algorithm.has_position(target_symbol) \
-                    and is_below_trend(fast, slow):
-                open_trades = algorithm.get_open_trades(
-                    target_symbol=target_symbol
-                )
-
-                for trade in open_trades:
-                    algorithm.close_trade(trade)
diff --git a/examples/crossover_moving_average_trading_bot/app.py b/examples/crossover_moving_average_trading_bot/app.py
deleted file mode 100644
index 758ed40b..00000000
--- a/examples/crossover_moving_average_trading_bot/app.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import pathlib
-
-from investing_algorithm_framework import create_app, RESOURCE_DIRECTORY, \
-    SYMBOLS
-
-config = {
-    SYMBOLS: ["BTC/EUR"],
-    RESOURCE_DIRECTORY: pathlib.Path(__file__).parent.resolve()
-}
-app = create_app(config=config)
diff --git a/examples/crossover_moving_average_trading_bot/backtesting.py b/examples/crossover_moving_average_trading_bot/backtesting.py
deleted file mode 100644
index 9e34b6ce..00000000
--- a/examples/crossover_moving_average_trading_bot/backtesting.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from datetime import datetime, timedelta
-
-from algorithm.algorithm import algorithm
-from algorithm.data_sources import bitvavo_btc_eur_ohlcv_2h, \
-    bitvavo_dot_eur_ohlcv_2h, bitvavo_dot_eur_ticker, bitvavo_btc_eur_ticker
-from app import app
-from investing_algorithm_framework import PortfolioConfiguration, \
-    pretty_print_backtest, BacktestDateRange
-
-app.add_algorithm(algorithm)
-app.add_market_data_source(bitvavo_btc_eur_ohlcv_2h)
-app.add_market_data_source(bitvavo_dot_eur_ohlcv_2h)
-app.add_market_data_source(bitvavo_btc_eur_ticker)
-app.add_market_data_source(bitvavo_dot_eur_ticker)
-
-
-# Add a portfolio configuration of 400 euro initial balance
-app.add_portfolio_configuration(
-    PortfolioConfiguration(
-        market="BINANCE",
-        trading_symbol="EUR",
-        initial_balance=400,
-    )
-)
-
-if __name__ == "__main__":
-    end_date = datetime(2023, 12, 2)
-    start_date = end_date - timedelta(days=100)
-    date_range = BacktestDateRange(
-        start_date=start_date,
-        end_date=end_date
-    )
-    backtest_report = app.run_backtest(
-        algorithm=algorithm,
-        backtest_date_range=date_range,
-        pending_order_check_interval="2h",
-    )
-    pretty_print_backtest(backtest_report)
diff --git a/examples/crossover_moving_average_trading_bot/production.py b/examples/crossover_moving_average_trading_bot/production.py
deleted file mode 100644
index 8319d2e8..00000000
--- a/examples/crossover_moving_average_trading_bot/production.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from app import app
-from investing_algorithm_framework import MarketCredential
-
-# Configure your market credentials here
-bitvavo_market_credential = MarketCredential(
-    api_key="",
-    secret_key="",
-    market="BITVAVO"
-)
-app.add_market_credential(bitvavo_market_credential)
-
-if __name__ == "__main__":
-    app.run()
diff --git a/examples/test.py b/examples/test.py
deleted file mode 100644
index 85769738..00000000
--- a/examples/test.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import requests
-
-if __name__ == "__main__":
-    # # Endpoint for Treasury Yield Curve Rates API
-    # url = "https://api.fiscaldata.treasury.gov/services/api/fiscal_service/v2/accounting/od/avg_interest_rates?filter=record_date:gte:2024-01-01"
-    #
-    # # Make a GET request to the API
-    # response = requests.get(url)
-    #
-    # if response.status_code == 200:
-    #     # Extract risk-free rate from API response (e.g., 10-year Treasury yield)
-    #     treasury_yield_data = response.json()
-    #     entries = treasury_yield_data["data"]
-    #     for entry in entries:
-    #         print(entry)
-    #     print(entries[-1])
-    #     print(entries[-1]["avg_interest_rate_amt"])
-    #     # print(treasury_yield_data)
-    #     # ten_year_yield = treasury_yield_data["data"][0]["value"]
-    #     # risk_free_rate = ten_year_yield / 100  # Convert percentage to decimal
-    #     # print("10-Year Treasury Yield (Risk-Free Rate):", risk_free_rate)
-    # else:
-    #     print("Failed to retrieve Treasury yield data. Status code:", response.status_code)
-
-    from datetime import datetime, timedelta
-    from investing_algorithm_framework import CCXTOHLCVMarketDataSource
-    from pandas import to_datetime
-
-    DATA_RECORDING_START_DATE = datetime(year=2024, month=1, day=1)
-    DATETIME_FORMAT = "%Y-%m-%d-%H-%M"
-    data_resources = ["BTC/EUR", "DOT/EUR", "ETH/EUR", "ADA/EUR"]
-    data_symbols = {
-        "BTC/EUR": {
-            "intervals": ["15m", "2h", "1d"],
-            "market": "bitvavo"
-        },
-        "DOT/EUR": {
-            "intervals": ["15m", "2h", "1d"],
-            "market": "bitvavo"
-        },
-        "ETH/EUR": {
-            "intervals": ["15m", "2h", "1d"],
-            "market": "bitvavo"
-        },
-        "ADA/EUR": {
-            "intervals": ["15m", "2h", "1d"],
-            "market": "bitvavo"
-        }
-    }
-
-    # Loop over all data sources and their intervals and download
-    # all data. After downloading each data source, write everything to
-    # the fabric lakehous
-    for symbol in data_symbols:
-        config = data_symbols[symbol]
-
-        for interval in config["intervals"]:
-            data_source = CCXTOHLCVMarketDataSource(
-                identifier="BTC-ohlcv",
-                market=config["market"],
-                symbol=symbol,
-                timeframe=interval,
-            )
-            last_date = DATA_RECORDING_START_DATE
-
-            data = data_source.get_data(start_date=last_date,
-                                        end_date=datetime.utcnow())
-            pandas_df = data.to_pandas()
-
-            # if len(pandas_df) > 0:
-            #     pandas_df['Datetime'] = to_datetime(pandas_df['Datetime'])
-            #     start_date = pandas_df.head(1)["Datetime"].iloc[0].strftime(
-            #         DATETIME_FORMAT)
-            #     end_date = pandas_df.tail(1)["Datetime"].iloc[0].strftime(
-            #         DATETIME_FORMAT)
-            #     formatted_symbol = symbol.replace('/', '_')
-            #     spark_df = spark.createDataFrame(pandas_df)
-            #     spark_df.write.mode("overwrite").parquet(
-            #         f'Files/market_data/{formatted_symbol}_{interval}_{start_date}_{end_date}.parquet')
\ No newline at end of file
diff --git a/investing_algorithm_framework/__init__.py b/investing_algorithm_framework/__init__.py
index 65aa296e..57a00fa8 100644
--- a/investing_algorithm_framework/__init__.py
+++ b/investing_algorithm_framework/__init__.py
@@ -12,7 +12,7 @@
     RESERVED_BALANCES, APP_MODE, AppMode, DATETIME_FORMAT, \
     load_backtest_report, BacktestDateRange, convert_polars_to_pandas, \
     DateRange, get_backtest_report, DEFAULT_LOGGING_CONFIG, \
-    BacktestReport
+    BacktestReport, TradeStatus, MarketDataType
 from investing_algorithm_framework.infrastructure import \
     CCXTOrderBookMarketDataSource, CCXTOHLCVMarketDataSource, \
     CCXTTickerMarketDataSource, CSVOHLCVMarketDataSource, \
@@ -90,5 +90,7 @@
     "get_backtest_report",
     "AzureBlobStorageStateHandler",
     "DEFAULT_LOGGING_CONFIG",
-    "BacktestReport"
+    "BacktestReport",
+    "TradeStatus",
+    "MarketDataType"
 ]
diff --git a/investing_algorithm_framework/app/algorithm.py b/investing_algorithm_framework/app/algorithm.py
index 1b34adae..c8349d2b 100644
--- a/investing_algorithm_framework/app/algorithm.py
+++ b/investing_algorithm_framework/app/algorithm.py
@@ -4,7 +4,7 @@
 import re
 
 from investing_algorithm_framework.domain import OrderStatus, \
-    Position, Order, Portfolio, OrderType, OrderSide, \
+    Position, Order, Portfolio, OrderType, OrderSide, TradeStatus, \
     BACKTESTING_FLAG, BACKTESTING_INDEX_DATETIME, MarketService, TimeUnit, \
     OperationalException, random_string, RoundingService, Trade
 from investing_algorithm_framework.services import MarketCredentialService, \
@@ -61,7 +61,7 @@ def __init__(
         self.market_service: MarketService
         self.configuration_service: ConfigurationService
         self.portfolio_configuration_service: PortfolioConfigurationService
-        self.strategy_orchestrator_service: StrategyOrchestratorService
+        self.strategy_orchestrator_service: StrategyOrchestratorService = None
         self._data_sources = {}
         self._strategies = []
         self._market_credential_service: MarketCredentialService
@@ -164,6 +164,19 @@ def start(self, number_of_iterations: int = None):
             number_of_iterations=number_of_iterations
         )
 
+    def stop(self) -> None:
+        """
+        Function to stop the algorithm. This function will stop the
+        algorithm by stopping all jobs in the strategy orchestrator
+        service.
+
+        Returns:
+            None
+        """
+
+        if self.strategy_orchestrator_service is not None:
+            self.strategy_orchestrator_service.stop()
+
     @property
     def name(self):
         return self._name
@@ -186,6 +199,14 @@ def config(self):
         """
         return self.configuration_service.get_config()
 
+    def get_config(self):
+        """
+        Function to get a config instance. This allows users when
+        having access to the algorithm instance also to read the
+        configs of the app.
+        """
+        return self.configuration_service.get_config()
+
     @property
     def description(self):
         """
@@ -329,7 +350,7 @@ def create_limit_order(
         order and execute it if the execute parameter is set to True. If the
         validate parameter is set to True, the order will be validated
 
-        Parameters:
+        Args:
             target_symbol: The symbol of the asset to trade
             price: The price of the asset
             order_side: The side of the order
@@ -490,7 +511,7 @@ def get_portfolio(self, market=None) -> Portfolio:
         """
 
         if market is None:
-            return self.portfolio_service.find({})
+            return self.portfolio_service.get_all()[0]
 
         return self.portfolio_service.find({{"market": market}})
 
@@ -511,7 +532,7 @@ def get_unallocated(self, market=None) -> float:
         If the market parameter is specified, the unallocated balance
         of the specified market will be returned.
 
-        Parameters:
+        Args:
             market: The market of the portfolio
 
         Returns:
@@ -521,7 +542,7 @@ def get_unallocated(self, market=None) -> float:
         if market:
             portfolio = self.portfolio_service.find({{"market": market}})
         else:
-            portfolio = self.portfolio_service.find({})
+            portfolio = self.portfolio_service.get_all()[0]
 
         trading_symbol = portfolio.trading_symbol
         return self.position_service.find(
@@ -553,6 +574,19 @@ def get_order(
         order_side=None,
         order_type=None
     ) -> Order:
+        """
+        Function to retrieve an order.
+
+        Exception is thrown when no param has been provided.
+
+        Args:
+            reference_id [optional] (int): id given by the external
+                market or exchange.
+            market [optional] (str): the market that the order was
+                executed on.
+            target_symbol [optional] (str): the symbol of the asset
+                that the order was executed
+        """
         query_params = {}
 
         if reference_id:
@@ -577,6 +611,11 @@ def get_order(
             )
             query_params["position"] = [position.id for position in positions]
 
+        if not query_params:
+            raise OperationalException(
+                "No parameters provided to get order."
+            )
+
         return self.order_service.find(query_params)
 
     def get_orders(
@@ -1183,25 +1222,95 @@ def has_open_orders(
         query_params["status"] = OrderStatus.OPEN.value
         return self.order_service.exists(query_params)
 
-    def check_pending_orders(self):
+    def get_trade(
+        self,
+        target_symbol=None,
+        trading_symbol=None,
+        market=None,
+        portfolio=None,
+        status=None,
+        order_id=None
+    ) -> List[Trade]:
         """
-        Function to check pending orders
+        Function to get all trades. This function will return all trades
+        that match the specified query parameters. If the market parameter
+        is specified, the trades with the specified market will be returned.
+
+        Args:
+            market: The market of the asset
+            portfolio: The portfolio of the asset
+            status: The status of the trade
+            order_id: The order id of the trade
+            target_symbol: The symbol of the asset
+            trading_symbol: The trading symbol of the asset
+
+        Returns:
+            List[Trade]: A list of trades that match the query parameters
         """
-        self.order_service.check_pending_orders()
+        query_params = {}
+
+        if market is not None:
+            query_params["market"] = market
+
+        if portfolio is not None:
+            query_params["portfolio"] = portfolio
+
+        if status is not None:
+            query_params["status"] = status
+
+        if order_id is not None:
+            query_params["order_id"] = order_id
+
+        if target_symbol is not None:
+            query_params["target_symbol"] = target_symbol
+
+        if trading_symbol is not None:
+            query_params["trading_symbol"] = trading_symbol
 
-    def get_trades(self, market=None) -> List[Trade]:
+        return self.trade_service.find(query_params)
+
+    def get_trades(
+        self,
+        target_symbol=None,
+        trading_symbol=None,
+        market=None,
+        portfolio=None,
+        status=None,
+    ) -> List[Trade]:
         """
         Function to get all trades. This function will return all trades
         that match the specified query parameters. If the market parameter
         is specified, the trades with the specified market will be returned.
 
-        Parameters:
+        Args:
             market: The market of the asset
+            portfolio: The portfolio of the asset
+            status: The status of the trade
+            target_symbol: The symbol of the asset
+            trading_symbol: The trading symbol of the asset
 
         Returns:
             List[Trade]: A list of trades that match the query parameters
         """
-        return self.trade_service.get_trades(market)
+
+        query_params = {}
+
+        if market is not None:
+            query_params["market"] = market
+
+        if portfolio is not None:
+            query_params["portfolio"] = portfolio
+
+        if status is not None:
+            query_params["status"] = status
+
+        if target_symbol is not None:
+            query_params["target_symbol"] = target_symbol
+
+        if trading_symbol is not None:
+            query_params["trading_symbol"] = trading_symbol
+
+        return self.trade_service.get_all({"market": market})
 
     def get_closed_trades(self) -> List[Trade]:
         """
@@ -1211,7 +1320,44 @@ def get_closed_trades(self) -> List[Trade]:
         Returns:
             List[Trade]: A list of closed trades
         """
-        return self.trade_service.get_closed_trades()
+        return self.trade_service.get_all({"status": TradeStatus.CLOSED.value})
+
+    def count_trades(
+        self,
+        target_symbol=None,
+        trading_symbol=None,
+        market=None,
+        portfolio=None
+    ) -> int:
+        """
+        Function to count trades. This function will return the number of
+        trades that match the specified query parameters.
+
+        Args:
+            target_symbol: The symbol of the asset
+            trading_symbol: The trading symbol of the asset
+            market: The market of the asset
+            portfolio: The portfolio of the asset
+
+        Returns:
+            int: The number of trades that match the query parameters
+        """
+
+        query_params = {}
+
+        if market is not None:
+            query_params["market"] = market
+
+        if portfolio is not None:
+            query_params["portfolio"] = portfolio
+
+        if target_symbol is not None:
+            query_params["target_symbol"] = target_symbol
+
+        if trading_symbol is not None:
+            query_params["trading_symbol"] = trading_symbol
+
+        return self.trade_service.count(query_params)
 
     def get_open_trades(self, target_symbol=None, market=None) -> List[Trade]:
         """
@@ -1222,32 +1368,107 @@ def get_open_trades(self, target_symbol=None, market=None) -> List[Trade]:
         is specified, the open trades with the specified market will be
         returned.
 
-        Parameters:
+        Args:
             target_symbol: The symbol of the asset
             market: The market of the asset
 
         Returns:
             List[Trade]: A list of open trades that match the query parameters
         """
-        return self.trade_service.get_open_trades(target_symbol, market)
+        return self.trade_service.get_all(
+            {
+                "status": TradeStatus.OPEN.value,
+                "target_symbol": target_symbol,
+                "market": market
+            }
+        )
+
+    def add_stop_loss(self, trade, percentage: int) -> None:
+        """
+        Function to add a stop loss to a trade. This function will add a
+        stop loss to the specified trade. If the stop loss is triggered,
+        the trade will be closed.
+
+        Args:
+            trade: Trade - The trade to add the stop loss to
+            percentage: int - The stop loss of the trade
+
+        Returns:
+            None
+        """
+        self.trade_service.add_stop_loss(trade, percentage=percentage)
+
+    def add_trailing_stop_loss(self, trade, percentage: int) -> None:
+        """
+        Function to add a trailing stop loss to a trade. This function will
+        add a trailing stop loss to the specified trade. If the trailing
+        stop loss is triggered, the trade will be closed.
 
-    def close_trade(self, trade, market=None, precision=None) -> None:
+        Args:
+            trade: Trade - The trade to add the trailing stop loss to
+            trailing_stop_loss: float - The trailing stop loss of the trade
+
+        Returns:
+            None
+        """
+        self.trade_service.add_trailing_stop_loss(trade, percentage=percentage)
+
+    def close_trade(self, trade, precision=None) -> None:
         """
         Function to close a trade. This function will close a trade by
         creating a market order to sell the position. If the precision
         parameter is specified, the amount of the order will be rounded
         down to the specified precision.
 
-        Parameters:
+        Args:
             trade: Trade - The trade to close
-            market: str - The market of the trade
-            precision: float - The precision of the amount
+            precision: int - The precision of the amount
 
         Returns:
             None
         """
-        self.trade_service.close_trade(
-            trade=trade, market=market, precision=precision
+
+        trade = self.trade_service.get(trade.id)
+
+        if TradeStatus.CLOSED.equals(trade.status):
+            raise OperationalException("Trade already closed.")
+
+        if trade.remaining <= 0:
+            raise OperationalException("Trade has no amount to close.")
+
+        position_id = trade.orders[0].position_id
+        portfolio = self.portfolio_service.find({"position": position_id})
+        position = self.position_service.find(
+            {"portfolio": portfolio.id, "symbol": trade.target_symbol}
+        )
+        amount = trade.remaining
+
+        if precision is not None:
+            amount = RoundingService.round_down(amount, precision)
+
+        if position.get_amount() < amount:
+            logger.warning(
+                f"Order amount {amount} is larger then amount "
+                f"of available {position.symbol} "
+                f"position: {position.get_amount()}, "
+                f"changing order amount to size of position"
+            )
+            amount = position.get_amount()
+
+        ticker = self._market_data_source_service.get_ticker(
+            symbol=trade.symbol, market=portfolio.market
+        )
+
+        self.order_service.create(
+            {
+                "portfolio_id": portfolio.id,
+                "trading_symbol": trade.trading_symbol,
+                "target_symbol": trade.target_symbol,
+                "amount": amount,
+                "order_side": OrderSide.SELL.value,
+                "order_type": OrderType.LIMIT.value,
+                "price": ticker["bid"],
+            }
         )
 
     def get_number_of_positions(self):
@@ -1400,3 +1621,9 @@ def get_unfilled_sell_value(self):
             [order.get_amount() * order.get_price()
              for order in pending_orders]
         )
+
+    def get_trade_service(self):
+        return self.trade_service
+
+    def get_market_data_source_service(self):
+        return self._market_data_source_service
diff --git a/investing_algorithm_framework/app/app.py b/investing_algorithm_framework/app/app.py
index 25e5fe5f..a28bed4b 100644
--- a/investing_algorithm_framework/app/app.py
+++ b/investing_algorithm_framework/app/app.py
@@ -17,7 +17,8 @@
     SQLALCHEMY_DATABASE_URI, OperationalException, \
     BACKTESTING_START_DATE, BACKTESTING_END_DATE, BacktestReport, \
     BACKTESTING_PENDING_ORDER_CHECK_INTERVAL, APP_MODE, MarketCredential, \
-    AppMode, BacktestDateRange
+    AppMode, BacktestDateRange, DATABASE_DIRECTORY_NAME, \
+    BACKTESTING_INITIAL_AMOUNT, MarketDataSource
 from investing_algorithm_framework.infrastructure import setup_sqlalchemy, \
     create_all_tables
 from investing_algorithm_framework.services import OrderBacktestService, \
@@ -48,6 +49,7 @@ def __init__(self, state_handler=None):
         self._configuration_service = None
         self._market_data_source_service: \
             Optional[MarketDataSourceService] = None
+        self._market_data_sources = []
         self._market_credential_service: \
             Optional[MarketCredentialService] = None
         self._on_initialize_hooks = []
@@ -71,6 +73,7 @@ def set_config_with_dict(self, dictionary) -> None:
 
     def initialize_services(self) -> None:
         self._configuration_service = self.container.configuration_service()
+        self._configuration_service.initialize()
         self._market_data_source_service = \
             self.container.market_data_source_service()
         self._market_credential_service = \
@@ -111,17 +114,40 @@ def initialize_config(self):
                 DATABASE_NAME, "prod-database.sqlite3"
             )
 
-        config = configuration_service.get_config()
-
-        if DATABASE_DIRECTORY_PATH not in config \
-                or config[DATABASE_DIRECTORY_PATH] is None:
-            resource_dir = config[RESOURCE_DIRECTORY]
+        # Set the database directory name
+        if Environment.BACKTEST.equals(config[ENVIRONMENT]):
+            configuration_service.add_value(
+                DATABASE_DIRECTORY_NAME, "backtest_databases"
+            )
             configuration_service.add_value(
-                DATABASE_DIRECTORY_PATH,
-                os.path.join(resource_dir, "databases")
+                DATABASE_NAME, "backtest-database.sqlite3"
             )
+        else:
+            configuration_service.add_value(
+                DATABASE_DIRECTORY_NAME, "databases"
+            )
+
+            if Environment.TEST.equals(config[ENVIRONMENT]):
+                configuration_service.add_value(
+                    DATABASE_NAME, "test-database.sqlite3"
+                )
+            elif Environment.PROD.equals(config[ENVIRONMENT]):
+                configuration_service.add_value(
+                    DATABASE_NAME, "prod-database.sqlite3"
+                )
+            else:
+                configuration_service.add_value(
+                    DATABASE_NAME, "dev-database.sqlite3"
+                )
 
         config = configuration_service.get_config()
+        resource_dir = config[RESOURCE_DIRECTORY]
+        database_dir_name = config.get(DATABASE_DIRECTORY_NAME)
+        configuration_service.add_value(
+            DATABASE_DIRECTORY_PATH,
+            os.path.join(resource_dir, database_dir_name)
+        )
+        config = configuration_service.get_config()
 
         if SQLALCHEMY_DATABASE_URI not in config \
                 or config[SQLALCHEMY_DATABASE_URI] is None:
@@ -158,23 +184,6 @@ def initialize(self):
             for data_source in self.algorithm.data_sources:
                 self.add_market_data_source(data_source)
 
-        self.algorithm.initialize_services(
-            configuration_service=self.container.configuration_service(),
-            market_data_source_service=self.container
-            .market_data_source_service(),
-            market_credential_service=self.container
-            .market_credential_service(),
-            portfolio_service=self.container.portfolio_service(),
-            position_service=self.container.position_service(),
-            order_service=self.container.order_service(),
-            portfolio_configuration_service=self.container
-            .portfolio_configuration_service(),
-            market_service=self.container.market_service(),
-            strategy_orchestrator_service=self.container
-            .strategy_orchestrator_service(),
-            trade_service=self.container.trade_service(),
-        )
-
         # Ensure that all resource directories exist
         self._create_resources_if_not_exists()
 
@@ -182,19 +191,118 @@ def initialize(self):
         setup_sqlalchemy(self)
         create_all_tables()
 
+        # Check if environment is in backtest mode
+        config = self.container.configuration_service().get_config()
+
+        # Initialize services in backtest
+        if Environment.BACKTEST.equals(config[ENVIRONMENT]):
+
+            configuration_service = self.container.configuration_service()
+            portfolio_conf_service = self.container \
+                .portfolio_configuration_service()
+            portfolio_snap_service = self.container \
+                .portfolio_snapshot_service()
+            market_cred_service = self.container.market_credential_service()
+            # Override the portfolio service with the backtest
+            # portfolio service
+            self.container.portfolio_service.override(
+                BacktestPortfolioService(
+                    configuration_service=configuration_service,
+                    market_credential_service=market_cred_service,
+                    market_service=self.container.market_service(),
+                    position_service=self.container.position_service(),
+                    order_service=self.container.order_service(),
+                    portfolio_repository=self.container.portfolio_repository(),
+                    portfolio_configuration_service=portfolio_conf_service,
+                    portfolio_snapshot_service=portfolio_snap_service
+                )
+            )
+
+            # Get all current market data sources
+            market_data_sources = self._market_data_source_service \
+                .get_market_data_sources()
+
+            # Override the market data source service with the backtest market
+            # data source service
+            self.container.market_data_source_service.override(
+                BacktestMarketDataSourceService(
+                    market_service=self.container.market_service(),
+                    market_credential_service=self.container
+                    .market_credential_service(),
+                    configuration_service=self.container
+                    .configuration_service(),
+                    market_data_sources=market_data_sources
+                )
+            )
+
+            portfolio_conf_service = self.container.\
+                portfolio_configuration_service()
+            portfolio_snap_service = self.container.\
+                portfolio_snapshot_service()
+            configuration_service = self.container.configuration_service()
+            market_data_source_service = self.container.\
+                market_data_source_service()
+            # Override the order service with the backtest order service
+            self.container.order_service.override(
+                OrderBacktestService(
+                    trade_service=self.container.trade_service(),
+                    order_repository=self.container.order_repository(),
+                    position_repository=self.container.position_repository(),
+                    portfolio_repository=self.container.portfolio_repository(),
+                    portfolio_configuration_service=portfolio_conf_service,
+                    portfolio_snapshot_service=portfolio_snap_service,
+                    configuration_service=configuration_service,
+                    market_data_source_service=market_data_source_service
+                )
+            )
+
         # Initialize all market credentials
-        market_credential_service = self.container.market_credential_service()
-        market_credential_service.initialize()
+        self._market_credential_service = self.container.\
+            market_credential_service()
+        self._market_credential_service.initialize()
 
-        # Initialize all market data sources from registered the strategies
-        market_data_source_service = \
-            self.container.market_data_source_service()
+        # Add all market data sources of the strategies to the market data
+        # source service
+        self._market_data_source_service = self.container.\
+            market_data_source_service()
+        self._market_data_source_service.market_data_sources = \
+            self._market_data_sources
 
         for strategy in self.algorithm.strategies:
 
             if strategy.market_data_sources is not None:
                 for market_data_source in strategy.market_data_sources:
-                    market_data_source_service.add(market_data_source)
+                    self._market_data_source_service.add(market_data_source)
+
+        # Initialize the market data source service
+        self._market_data_source_service.initialize_market_data_sources()
+
+        portfolio_configuration_service = self.container \
+            .portfolio_configuration_service()
+
+        # Re-init the market service because the portfolio configuration
+        # service is a singleton
+        portfolio_configuration_service.market_service \
+            = self.container.market_service()
+
+        if portfolio_configuration_service.count() == 0:
+            raise OperationalException("No portfolios configured")
+
+        self.algorithm.initialize_services(
+            configuration_service=self.container.configuration_service(),
+            market_data_source_service=self._market_data_source_service,
+            market_credential_service=self.container
+            .market_credential_service(),
+            portfolio_service=self.container.portfolio_service(),
+            position_service=self.container.position_service(),
+            order_service=self.container.order_service(),
+            portfolio_configuration_service=self.container
+            .portfolio_configuration_service(),
+            market_service=self.container.market_service(),
+            strategy_orchestrator_service=self.container
+            .strategy_orchestrator_service(),
+            trade_service=self.container.trade_service(),
+        )
 
         config = self.container.configuration_service().get_config()
 
@@ -207,32 +315,49 @@ def initialize(self):
         # Initialize all portfolios that are registered
         portfolio_configuration_service = self.container \
             .portfolio_configuration_service()
+        portfolio_service = self.container.portfolio_service()
 
         # Throw an error if no portfolios are configured
         if portfolio_configuration_service.count() == 0:
             raise OperationalException("No portfolios configured")
 
-        # Check if all portfolios are configured
-        portfolio_service = self.container.portfolio_service()
-        synced_portfolios = []
+        if Environment.BACKTEST.equals(config[ENVIRONMENT]):
+            initial_backtest_amount = config.get(
+                BACKTESTING_INITIAL_AMOUNT, None
+            )
 
-        for portfolio_configuration \
-                in portfolio_configuration_service.get_all():
+            for portfolio_configuration \
+                    in portfolio_configuration_service.get_all():
 
-            if not portfolio_service.exists(
-                {"identifier": portfolio_configuration.identifier}
-            ):
-                portfolio = portfolio_service\
-                    .create_portfolio_from_configuration(
-                        portfolio_configuration
+                if not portfolio_service.exists(
+                    {"identifier": portfolio_configuration.identifier}
+                ):
+                    portfolio = (
+                        portfolio_service.create_portfolio_from_configuration(
+                            portfolio_configuration,
+                            initial_amount=initial_backtest_amount,
+                        )
                     )
+        else:
+            synced_portfolios = []
 
-        portfolios = portfolio_service.get_all()
+            for portfolio_configuration \
+                    in portfolio_configuration_service.get_all():
 
-        for portfolio in portfolios:
+                if not portfolio_service.exists(
+                    {"identifier": portfolio_configuration.identifier}
+                ):
+                    portfolio = portfolio_service\
+                        .create_portfolio_from_configuration(
+                            portfolio_configuration
+                        )
+
+            portfolios = portfolio_service.get_all()
 
-            if portfolio not in synced_portfolios:
-                self.sync(portfolio)
+            for portfolio in portfolios:
+
+                if portfolio not in synced_portfolios:
+                    self.sync(portfolio)
 
     def sync(self, portfolio):
         """
@@ -256,268 +381,6 @@ def sync(self, portfolio):
         # Sync all orders from exchange with current order history
         portfolio_sync_service.sync_orders(portfolio)
 
-        # Sync all trades from exchange with current trade history
-        portfolio_sync_service.sync_trades(portfolio)
-
-    def _initialize_standard(self):
-        """
-        Initialize the app for standard mode by setting the configuration
-        parameters for standard mode and overriding the services with the
-        standard services equivalents.
-
-        Standard has the following implications:
-        db: sqlite
-        web: False
-        app: Standard
-        algorithm: Standard
-        """
-        configuration_service = self.container.configuration_service()
-        resource_dir = configuration_service.config[RESOURCE_DIRECTORY]
-
-        if resource_dir is None:
-            configuration_service.config[SQLALCHEMY_DATABASE_URI] = "sqlite://"
-        else:
-            resource_dir = self._create_resource_directory_if_not_exists()
-            configuration_service.config[DATABASE_DIRECTORY_PATH] = \
-                os.path.join(resource_dir, "databases")
-            configuration_service.config[DATABASE_NAME] \
-                = "prod-database.sqlite3"
-            configuration_service.config[SQLALCHEMY_DATABASE_URI] = \
-                "sqlite:///" + os.path.join(
-                    configuration_service.config[DATABASE_DIRECTORY_PATH],
-                    configuration_service.config[DATABASE_NAME]
-                )
-            self._create_database_if_not_exists()
-
-    def _initialize_app_for_backtest(
-        self,
-        backtest_date_range: BacktestDateRange,
-        pending_order_check_interval=None,
-    ) -> None:
-        """
-        Initialize the app for backtesting by setting the configuration
-        parameters for backtesting and overriding the services with the
-        backtest services equivalents. This method should only be called
-        before running a backtest or a set of backtests and should be called
-        once.
-
-        Args:
-            backtest_date_range: instance of BacktestDateRange
-            pending_order_check_interval: The interval at which to check
-            pending orders (e.g. 1h, 1d, 1w)
-
-        Return None
-        """
-        # Set all config vars for backtesting
-        configuration_service = self.container.configuration_service()
-        configuration_service.add_value(
-            ENVIRONMENT, Environment.BACKTEST.value
-        )
-        configuration_service.add_value(
-            BACKTESTING_START_DATE, backtest_date_range.start_date
-        )
-        configuration_service.add_value(
-            BACKTESTING_END_DATE, backtest_date_range.end_date
-        )
-        configuration_service.add_value(
-            DATABASE_NAME, "backtest-database.sqlite3"
-        )
-        configuration_service.add_value(
-            DATABASE_DIRECTORY_PATH,
-            os.path.join(
-                configuration_service.config[
-                    RESOURCE_DIRECTORY
-                ],
-                "backtest_databases"
-            )
-        )
-
-        if pending_order_check_interval is not None:
-            configuration_service.add_value(
-                BACKTESTING_PENDING_ORDER_CHECK_INTERVAL,
-                pending_order_check_interval
-            )
-
-        # Create resource dir if not exits
-        self._create_resources_if_not_exists()
-
-    def _create_backtest_database_if_not_exists(self):
-        """
-        Create the backtest database if it does not exist. This method
-        should be called before running a backtest for an algorithm.
-        It creates the database if it does not exist.
-
-        Parameters:
-            None
-
-        Returns
-            None
-        """
-        configuration_service = self.container.configuration_service()
-        resource_dir = configuration_service.config[RESOURCE_DIRECTORY]
-
-        # Create the database if not exists
-        configuration_service.add_value(
-            DATABASE_NAME, "backtest-database.sqlite3"
-        )
-        configuration_service.add_value(
-            DATABASE_DIRECTORY_PATH,
-            os.path.join(resource_dir, "databases")
-        )
-
-        database_path = os.path.join(
-            configuration_service.config[DATABASE_DIRECTORY_PATH],
-            configuration_service.config[DATABASE_NAME]
-        )
-
-        if os.path.exists(database_path):
-            os.remove(database_path)
-
-        sql_alchemy_uri = \
-            "sqlite:///" + os.path.join(
-                configuration_service.config[DATABASE_DIRECTORY_PATH],
-                configuration_service.config[DATABASE_NAME]
-            )
-
-        configuration_service.add_value(
-            SQLALCHEMY_DATABASE_URI, sql_alchemy_uri
-        )
-        self._create_database_if_not_exists()
-        setup_sqlalchemy(self)
-        create_all_tables()
-
-    def _initialize_backtest_data_sources(self, algorithm):
-        """
-        Initialize the backtest data sources for the algorithm. This method
-        should be called before running a backtest. It initializes the
-        backtest data sources for the algorithm. It takes all registered
-        data sources and converts them to backtest equivalents
-
-        Args:
-            algorithm: The algorithm to initialize for backtesting
-
-        Returns
-            None
-        """
-
-        market_data_sources = self._market_data_source_service \
-            .get_market_data_sources()
-        backtest_market_data_sources = []
-
-        if algorithm.data_sources is not None \
-                and len(algorithm.data_sources) > 0:
-
-            for data_source in algorithm.data_sources:
-                self.add_market_data_source(data_source)
-
-        if market_data_sources is not None:
-            backtest_market_data_sources = [
-                market_data_source.to_backtest_market_data_source()
-                for market_data_source in market_data_sources
-                if market_data_source is not None
-            ]
-
-            for market_data_source in backtest_market_data_sources:
-                if market_data_source is not None:
-                    market_data_source.config = self.config
-
-        # Override the market data source service with the backtest market
-        # data source service
-        self.container.market_data_source_service.override(
-            BacktestMarketDataSourceService(
-                market_data_sources=backtest_market_data_sources,
-                market_service=self.container.market_service(),
-                market_credential_service=self.container
-                .market_credential_service(),
-                configuration_service=self.container
-                .configuration_service(),
-            )
-        )
-
-        # Set all data sources to the algorithm
-        algorithm.add_data_sources(backtest_market_data_sources)
-
-    def _initialize_algorithm_for_backtest(self, algorithm):
-        """
-        Function to initialize the algorithm for backtesting. This method
-        should be called before running a backtest. It initializes the
-        all data sources to backtest data sources and overrides the services
-        with the backtest services equivalents.
-
-        Parameters:
-            algorithm: The algorithm to initialize for backtesting
-
-        Returns
-            None
-        """
-        self._create_backtest_database_if_not_exists()
-        self._initialize_backtest_data_sources(algorithm)
-
-        # Override the portfolio service with the backtest portfolio service
-        self.container.portfolio_service.override(
-            BacktestPortfolioService(
-                configuration_service=self.container.configuration_service(),
-                market_credential_service=self.container
-                .market_credential_service(),
-                market_service=self.container.market_service(),
-                position_service=self.container.position_service(),
-                order_service=self.container.order_service(),
-                portfolio_repository=self.container.portfolio_repository(),
-                portfolio_configuration_service=self.container
-                .portfolio_configuration_service(),
-                portfolio_snapshot_service=self.container
-                .portfolio_snapshot_service(),
-            )
-        )
-
-        # Override the order service with the backtest order service
-        market_data_source_service = self.container \
-            .market_data_source_service()
-        self.container.order_service.override(
-            OrderBacktestService(
-                order_repository=self.container.order_repository(),
-                position_repository=self.container.position_repository(),
-                portfolio_repository=self.container.portfolio_repository(),
-                portfolio_configuration_service=self.container
-                .portfolio_configuration_service(),
-                portfolio_snapshot_service=self.container
-                .portfolio_snapshot_service(),
-                configuration_service=self.container.configuration_service(),
-                market_data_source_service=market_data_source_service
-            )
-        )
-
-        portfolio_configuration_service = self.container \
-            .portfolio_configuration_service()
-
-        # Re-init the market service because the portfolio configuration
-        # service is a singleton
-        portfolio_configuration_service.market_service \
-            = self.container.market_service()
-
-        if portfolio_configuration_service.count() == 0:
-            raise OperationalException("No portfolios configured")
-
-        strategy_orchestrator_service = \
-            self.container.strategy_orchestrator_service()
-        market_credential_service = self.container.market_credential_service()
-        market_data_source_service = \
-            self.container.market_data_source_service()
-        # Initialize all services in the algorithm
-        algorithm.initialize_services(
-            configuration_service=self.container.configuration_service(),
-            portfolio_configuration_service=self.container
-            .portfolio_configuration_service(),
-            portfolio_service=self.container.portfolio_service(),
-            position_service=self.container.position_service(),
-            order_service=self.container.order_service(),
-            market_service=self.container.market_service(),
-            strategy_orchestrator_service=strategy_orchestrator_service,
-            market_credential_service=market_credential_service,
-            market_data_source_service=market_data_source_service,
-            trade_service=self.container.trade_service(),
-        )
-
     def run(
         self,
         payload: dict = None,
@@ -555,6 +418,16 @@ def run(
             None
         """
         try:
+            configuration_service = self.container.configuration_service()
+            config = configuration_service.get_config()
+
+            # Run method should never be called with environment set to
+            # backtest, if it is, then set the environment to prod
+            if config[ENVIRONMENT] == Environment.BACKTEST.value:
+                configuration_service.add_value(
+                    ENVIRONMENT, Environment.PROD.value
+                )
+
             self.initialize_config()
 
             # Load the state if a state handler is provided
@@ -589,12 +462,11 @@ def run(
                     target=self._flask_app.run,
                     kwargs={"port": 8080}
                 )
-                flask_thread.setDaemon(True)
+                flask_thread.daemon = True
                 flask_thread.start()
 
             self.algorithm.start(number_of_iterations=number_of_iterations)
             number_of_iterations_since_last_orders_check = 1
-            self.algorithm.check_pending_orders()
 
             try:
                 while self.algorithm.running:
@@ -608,6 +480,8 @@ def run(
             except KeyboardInterrupt:
                 exit(0)
         finally:
+            self.algorithm.stop()
+
             # Upload state if state handler is provided
             if self._state_handler is not None:
                 logger.info("Detected state handler, saving state")
@@ -729,35 +603,6 @@ def _create_resources_if_not_exists(self):
                     "Could not create database directory"
                 )
 
-    def _create_database_if_not_exists(self):
-        configuration_service = self.container.configuration_service()
-        database_dir = configuration_service.config \
-            .get(DATABASE_DIRECTORY_PATH, None)
-
-        if database_dir is None:
-            return
-
-        config = configuration_service.get_config()
-        database_name = config[DATABASE_NAME]
-
-        if database_name is None:
-            return
-
-        database_path = os.path.join(database_dir, database_name)
-
-        if not os.path.exists(database_path):
-
-            if not os.path.isdir(database_dir):
-                os.makedirs(database_dir)
-
-            try:
-                open(database_path, 'w').close()
-            except OSError as e:
-                logger.error(e)
-                raise OperationalException(
-                    "Could not create database directory"
-                )
-
     def get_portfolio_configurations(self):
         return self.algorithm.get_portfolio_configurations()
 
@@ -795,14 +640,30 @@ def run_backtest(
         if self.algorithm is None:
             raise OperationalException("No algorithm registered")
 
-        self._initialize_app_for_backtest(
-            backtest_date_range=backtest_date_range,
-            pending_order_check_interval=pending_order_check_interval,
+        # Add backtest configuration to the config
+        self.set_config_with_dict({
+            ENVIRONMENT: Environment.BACKTEST.value,
+            BACKTESTING_START_DATE: backtest_date_range.start_date,
+            BACKTESTING_END_DATE: backtest_date_range.end_date,
+            DATABASE_NAME: "backtest-database.sqlite3",
+            DATABASE_DIRECTORY_NAME: "backtest_databases",
+            BACKTESTING_PENDING_ORDER_CHECK_INTERVAL: (
+                pending_order_check_interval
+            ),
+            BACKTESTING_INITIAL_AMOUNT: initial_amount
+        })
+
+        self.initialize_config()
+        config = self._configuration_service.get_config()
+        path = os.path.join(
+            config[DATABASE_DIRECTORY_PATH],
+            config[DATABASE_NAME]
         )
+        # Remove the previous backtest db
+        if os.path.exists(path):
+            os.remove(path)
 
-        self._initialize_algorithm_for_backtest(
-            algorithm=self.algorithm
-        )
+        self.initialize()
 
         backtest_service = self.container.backtest_service()
 
@@ -812,7 +673,6 @@ def run_backtest(
             initial_amount=initial_amount,
             backtest_date_range=backtest_date_range
         )
-
         config = self.container.configuration_service().get_config()
 
         if output_directory is None:
@@ -823,12 +683,12 @@ def run_backtest(
         backtest_service.write_report_to_json(
             report=report, output_directory=output_directory
         )
-
         return report
 
     def run_backtests(
         self,
         algorithms,
+        initial_amount=None,
         date_ranges: List[BacktestDateRange] = None,
         pending_order_check_interval=None,
         output_directory=None,
@@ -842,6 +702,7 @@ def run_backtests(
             Algorithms: List[Algorithm] - The algorithms to run backtests for
             date_ranges: List[BacktestDateRange] - The date ranges to run the
                 backtests for
+            initial_amount: The initial amount to start the backtest with.
             pending_order_check_interval: str - The interval at which to check
                 pending orders
             output_directory: str - The directory to write the backtest
@@ -862,11 +723,6 @@ def run_backtests(
 
         for date_range in date_ranges:
             date_range: BacktestDateRange = date_range
-            self._initialize_app_for_backtest(
-                backtest_date_range=date_range,
-                pending_order_check_interval=pending_order_check_interval,
-            )
-
             print(
                 f"{COLOR_YELLOW}Running backtests for date "
                 f"range:{COLOR_RESET} {COLOR_GREEN}{date_range.name} "
@@ -897,8 +753,30 @@ def run_backtests(
                         )
                         reports.append(report)
                         continue
+                self.algorithm = algorithm
+                self.set_config_with_dict({
+                    ENVIRONMENT: Environment.BACKTEST.value,
+                    BACKTESTING_START_DATE: date_range.start_date,
+                    BACKTESTING_END_DATE: date_range.end_date,
+                    DATABASE_NAME: "backtest-database.sqlite3",
+                    DATABASE_DIRECTORY_NAME: "backtest_databases",
+                    BACKTESTING_PENDING_ORDER_CHECK_INTERVAL: (
+                        pending_order_check_interval
+                    )
+                })
+                self.initialize_config()
+
+                config = self._configuration_service.get_config()
 
-                self._initialize_algorithm_for_backtest(algorithm)
+                path = os.path.join(
+                    config[DATABASE_DIRECTORY_PATH],
+                    config[DATABASE_NAME]
+                )
+                # Remove the previous backtest db
+                if os.path.exists(path):
+                    os.remove(path)
+
+                self.initialize()
                 backtest_service = self.container.backtest_service()
                 backtest_service.resource_directory = self.config[
                     RESOURCE_DIRECTORY
@@ -907,7 +785,9 @@ def run_backtests(
                 # Run the backtest with the backtest_service
                 # and collect the report
                 report = backtest_service.run_backtest(
-                    algorithm=algorithm, backtest_date_range=date_range
+                    algorithm=self.algorithm,
+                    initial_amount=initial_amount,
+                    backtest_date_range=date_range
                 )
 
                 # Add date range name to report if present
@@ -927,8 +807,35 @@ def run_backtests(
         return reports
 
     def add_market_data_source(self, market_data_source):
-        market_data_source.config = self.config
-        self._market_data_source_service.add(market_data_source)
+        """
+        Function to add a market data source to the app. The market data
+        source should be an instance of MarketDataSource.
+
+        This is a seperate function from the market data source service. This
+        is because the market data source service can be re-initialized.
+        Therefore we need a persistent list of market data sources in the app.
+
+        Args:
+            market_data_source: Instance of MarketDataSource
+
+        Returns:
+            None
+        """
+
+        # Check if the market data source is an instance of MarketDataSource
+        if not isinstance(market_data_source, MarketDataSource):
+            return
+
+        # Check if there is already a market data source with the same
+        # identifier
+        for existing_market_data_source in self._market_data_sources:
+            if existing_market_data_source.get_identifier() == \
+                    market_data_source.get_identifier():
+                return
+
+        market_data_source.market_credential_service = \
+            self._market_credential_service
+        self._market_data_sources.append(market_data_source)
 
     def add_market_credential(self, market_credential: MarketCredential):
         market_credential.market = market_credential.market.upper()
@@ -955,3 +862,7 @@ def after_initialize(self, app_hook: AppHook):
             app_hook = app_hook()
 
         self._on_after_initialize_hooks.append(app_hook)
+
+    def clear(self) -> None:
+        self.algorithm = Algorithm()
+        self.mark
diff --git a/investing_algorithm_framework/app/strategy.py b/investing_algorithm_framework/app/strategy.py
index 37362d84..e0c47646 100644
--- a/investing_algorithm_framework/app/strategy.py
+++ b/investing_algorithm_framework/app/strategy.py
@@ -1,9 +1,12 @@
 from typing import List
+import pandas as pd
+from datetime import datetime, timezone
+
 from investing_algorithm_framework.domain import OperationalException, Position
 from investing_algorithm_framework.domain import \
-    TimeUnit, StrategyProfile, Trade
+    TimeUnit, StrategyProfile, Trade, ENVIRONMENT, Environment, \
+    BACKTESTING_INDEX_DATETIME
 from .algorithm import Algorithm
-import pandas as pd
 
 
 class TradingStrategy:
@@ -67,16 +70,27 @@ def __init__(
 
         # context initialization
         self._context = None
+        self._last_run = None
 
     def run_strategy(self, algorithm, market_data):
         self.algorithm = algorithm
+        config = self.algorithm.get_config()
+
+        if config[ENVIRONMENT] == Environment.BACKTEST.value:
+            self._update_trades_and_orders_for_backtest(market_data)
+        else:
+            self._update_trades_and_orders(market_data)
 
-        # Check pending orders before running the strategy
-        algorithm.check_pending_orders()
+        self._check_stop_losses()
 
         # Run user defined strategy
         self.apply_strategy(algorithm=algorithm, market_data=market_data)
 
+        if config[ENVIRONMENT] == Environment.BACKTEST.value:
+            self._last_run = config[BACKTESTING_INDEX_DATETIME]
+        else:
+            self._last_run = datetime.now(tz=timezone.utc)
+
     def apply_strategy(self, algorithm, market_data):
         if self.decorated:
             self.decorated(algorithm=algorithm, market_data=market_data)
@@ -92,6 +106,44 @@ def strategy_profile(self):
             market_data_sources=self.market_data_sources
         )
 
+    def _update_trades_and_orders(self, market_data):
+        self.algorithm.order_service.check_pending_orders()
+        self.algorithm.trade_service\
+            .update_trades_with_market_data(market_data)
+
+    def _update_trades_and_orders_for_backtest(self, market_data):
+        self.algorithm.order_service.check_pending_orders(market_data)
+        self.algorithm.trade_service\
+            .update_trades_with_market_data(market_data)
+
+    def _check_pending_orders(self, market_data):
+        """
+        Check if there are any pending orders that need to be executed
+        """
+        pass
+        # self.algorithm.check_pending_orders()
+
+    def _check_stop_losses(self):
+        """
+        Check if there are any stop losses that result in trades being closed.
+        """
+        trade_service = self.algorithm.trade_service
+        triggered_trades = trade_service.get_triggered_stop_losses()
+
+        for trade in triggered_trades:
+            trade_service.update(trade.id, {"stop_loss_triggered": True})
+            self.algorithm.close_trade(
+                trade
+            )
+
+        triggered_trades = trade_service.get_triggered_trailing_stop_losses()
+
+        for trade in triggered_trades:
+            trade_service.update(trade.id, {"stop_loss_triggered": True})
+            self.algorithm.close_trade(
+                trade
+            )
+
     def on_trade_closed(self, algorithm: Algorithm, trade: Trade):
         pass
 
@@ -222,7 +274,7 @@ def has_open_orders(
         """
         Check if there are open orders for a given symbol
 
-        Parameters:
+        Args:
             target_symbol (str): The symbol of the asset e.g BTC if the
               asset is BTC/USDT
             identifier (str): The identifier of the portfolio
@@ -256,7 +308,7 @@ def create_limit_order(
         a limit order and execute it if the execute parameter is set to True.
         If the validate parameter is set to True, the order will be validated
 
-        Parameters:
+        Args:
             target_symbol: The symbol of the asset to trade
             price: The price of the asset
             order_side: The side of the order
@@ -313,7 +365,7 @@ def create_market_order(
         order and execute it if the execute parameter is set to True. If the
         validate parameter is set to True, the order will be validated
 
-        Parameters:
+        Args:
             target_symbol: The symbol of the asset to trade
             order_side: The side of the order
             amount: The amount of the asset to trade
@@ -345,7 +397,7 @@ def close_position(
         parameter is specified, the amount of the order will be rounded
         down to the specified precision.
 
-        Parameters:
+        Args:
             symbol: The symbol of the asset
             market: The market of the asset
             identifier: The identifier of the portfolio
@@ -385,7 +437,7 @@ def get_positions(
         If the amount_lte parameter is specified, the positions with an
         amount less than or equal to the specified amount will be returned.
 
-        Parameters:
+        Args:
             market: The market of the portfolio where the positions are
             identifier: The identifier of the portfolio
             amount_gt: The amount of the asset must be greater than this
@@ -413,7 +465,7 @@ def get_trades(self, market=None) -> List[Trade]:
         that match the specified query parameters. If the market parameter
         is specified, the trades with the specified market will be returned.
 
-        Parameters:
+        Args:
             market: The market of the asset
 
         Returns:
@@ -440,7 +492,7 @@ def get_open_trades(self, target_symbol=None, market=None) -> List[Trade]:
         is specified, the open trades with the specified market will be
         returned.
 
-        Parameters:
+        Args:
             target_symbol: The symbol of the asset
             market: The market of the asset
 
@@ -456,7 +508,7 @@ def close_trade(self, trade, market=None, precision=None) -> None:
         parameter is specified, the amount of the order will be rounded
         down to the specified precision.
 
-        Parameters:
+        Args:
             trade: Trade - The trade to close
             market: str - The market of the trade
             precision: float - The precision of the amount
@@ -488,7 +540,7 @@ def get_position(
         specified, the position of the specified portfolio will be
         returned.
 
-        Parameters:
+        Args:
             symbol: The symbol of the asset that represents the position
             market: The market of the portfolio where the position is located
             identifier: The identifier of the portfolio
@@ -517,7 +569,7 @@ def has_position(
         True if a position exists, False otherwise. This function will check
         if the amount > 0 condition by default.
 
-        Parameters:
+        Args:
             param symbol: The symbol of the asset
             param market: The market of the asset
             param identifier: The identifier of the portfolio
@@ -548,7 +600,7 @@ def has_balance(self, symbol, amount, market=None):
         portfolio has enough balance to create an order, False
         otherwise.
 
-        Parameters:
+        Args:
             symbol: The symbol of the asset
             amount: The amount of the asset
             market: The market of the asset
@@ -557,3 +609,12 @@ def has_balance(self, symbol, amount, market=None):
             Boolean: True if the portfolio has enough balance
         """
         return self.algorithm.has_balance(symbol, amount, market)
+
+    def last_run(self) -> datetime:
+        """
+        Function to get the last run of the strategy
+
+        Returns:
+            DateTime: The last run of the strategy
+        """
+        return self.algorithm.last_run()
diff --git a/investing_algorithm_framework/dependency_container.py b/investing_algorithm_framework/dependency_container.py
index c1e469c0..385b0149 100644
--- a/investing_algorithm_framework/dependency_container.py
+++ b/investing_algorithm_framework/dependency_container.py
@@ -3,7 +3,7 @@
 from investing_algorithm_framework.app.algorithm import Algorithm
 from investing_algorithm_framework.infrastructure import SQLOrderRepository, \
     SQLPositionRepository, SQLPortfolioRepository, \
-    SQLPortfolioSnapshotRepository, \
+    SQLPortfolioSnapshotRepository, SQLTradeRepository, \
     SQLPositionSnapshotRepository, PerformanceService, CCXTMarketService
 from investing_algorithm_framework.services import OrderService, \
     PositionService, PortfolioService, StrategyOrchestratorService, \
@@ -40,14 +40,16 @@ class DependencyContainer(containers.DeclarativeContainer):
     portfolio_snapshot_repository = providers.Factory(
         SQLPortfolioSnapshotRepository
     )
+    trade_repository = providers.Factory(SQLTradeRepository)
     market_service = providers.Factory(
         CCXTMarketService,
         market_credential_service=market_credential_service,
     )
-    market_data_source_service = providers.Factory(
+    market_data_source_service = providers.Singleton(
         MarketDataSourceService,
         market_service=market_service,
         market_credential_service=market_credential_service,
+        configuration_service=configuration_service
     )
     position_snapshot_service = providers.Factory(
         PositionSnapshotService,
@@ -64,6 +66,21 @@ class DependencyContainer(containers.DeclarativeContainer):
         portfolio_repository=portfolio_repository,
         position_repository=position_repository,
     )
+    position_service = providers.Factory(
+        PositionService,
+        repository=position_repository,
+        market_service=market_service,
+        market_credential_service=market_credential_service,
+        order_repository=order_repository,
+    )
+    trade_service = providers.Factory(
+        TradeService,
+        configuration_service=configuration_service,
+        trade_repository=trade_repository,
+        portfolio_repository=portfolio_repository,
+        position_repository=position_repository,
+        market_data_source_service=market_data_source_service,
+    )
     order_service = providers.Factory(
         OrderService,
         configuration_service=configuration_service,
@@ -73,14 +90,8 @@ class DependencyContainer(containers.DeclarativeContainer):
         market_service=market_service,
         market_credential_service=market_credential_service,
         portfolio_configuration_service=portfolio_configuration_service,
-        portfolio_snapshot_service=portfolio_snapshot_service
-    )
-    position_service = providers.Factory(
-        PositionService,
-        repository=position_repository,
-        market_service=market_service,
-        market_credential_service=market_credential_service,
-        order_repository=order_repository,
+        portfolio_snapshot_service=portfolio_snapshot_service,
+        trade_service=trade_service,
     )
     portfolio_service = providers.Factory(
         PortfolioService,
@@ -93,18 +104,11 @@ class DependencyContainer(containers.DeclarativeContainer):
         portfolio_configuration_service=portfolio_configuration_service,
         portfolio_snapshot_service=portfolio_snapshot_service,
     )
-    trade_service = providers.Factory(
-        TradeService,
-        portfolio_repository=portfolio_repository,
-        order_service=order_service,
-        market_data_source_service=market_data_source_service,
-        position_service=position_service,
-    )
     portfolio_sync_service = providers.Factory(
         PortfolioSyncService,
         trade_service=trade_service,
         configuration_service=configuration_service,
-        order_repository=order_repository,
+        order_service=order_service,
         position_repository=position_repository,
         portfolio_repository=portfolio_repository,
         portfolio_configuration_service=portfolio_configuration_service,
@@ -113,10 +117,12 @@ class DependencyContainer(containers.DeclarativeContainer):
     )
     strategy_orchestrator_service = providers.Factory(
         StrategyOrchestratorService,
-        market_data_source_service=market_data_source_service
+        market_data_source_service=market_data_source_service,
+        configuration_service=configuration_service,
     )
     performance_service = providers.Factory(
         PerformanceService,
+        trade_repository=trade_repository,
         order_repository=order_repository,
         position_repository=position_repository,
         portfolio_repository=portfolio_repository
@@ -130,6 +136,7 @@ class DependencyContainer(containers.DeclarativeContainer):
         position_repository=position_repository,
         market_data_source_service=market_data_source_service,
         portfolio_configuration_service=portfolio_configuration_service,
+        strategy_orchestrator_service=strategy_orchestrator_service,
     )
     algorithm = providers.Factory(
         Algorithm,
diff --git a/investing_algorithm_framework/domain/__init__.py b/investing_algorithm_framework/domain/__init__.py
index 76fcba7d..6c682cf4 100644
--- a/investing_algorithm_framework/domain/__init__.py
+++ b/investing_algorithm_framework/domain/__init__.py
@@ -7,7 +7,8 @@
     BACKTEST_DATA_DIRECTORY_NAME, TICKER_DATA_TYPE, OHLCV_DATA_TYPE, \
     CURRENT_UTC_DATETIME, BACKTESTING_END_DATE, SYMBOLS, \
     CCXT_DATETIME_FORMAT_WITH_TIMEZONE, RESERVED_BALANCES, \
-    BACKTESTING_PENDING_ORDER_CHECK_INTERVAL, APP_MODE
+    BACKTESTING_PENDING_ORDER_CHECK_INTERVAL, APP_MODE, \
+    DATABASE_DIRECTORY_NAME, BACKTESTING_INITIAL_AMOUNT
 from .data_structures import PeekableQueue
 from .decimal_parsing import parse_decimal_to_string, parse_string_to_decimal
 from .exceptions import OperationalException, ApiException, \
@@ -17,7 +18,8 @@
     PortfolioConfiguration, Portfolio, Position, Order, TradeStatus, \
     BacktestReport, PortfolioSnapshot, StrategyProfile, \
     BacktestPosition, Trade, MarketCredential, PositionSnapshot, \
-    BacktestReportsEvaluation, AppMode, BacktestDateRange, DateRange
+    BacktestReportsEvaluation, AppMode, BacktestDateRange, DateRange, \
+    MarketDataType
 from .services import TickerMarketDataSource, OrderBookMarketDataSource, \
     OHLCVMarketDataSource, BacktestMarketDataSource, MarketDataSource, \
     MarketService, MarketCredentialService, AbstractPortfolioSyncService, \
@@ -119,5 +121,8 @@
     "convert_polars_to_pandas",
     "DateRange",
     "get_backtest_report",
-    "DEFAULT_LOGGING_CONFIG"
+    "DEFAULT_LOGGING_CONFIG",
+    "DATABASE_DIRECTORY_NAME",
+    "BACKTESTING_INITIAL_AMOUNT",
+    "MarketDataType"
 ]
diff --git a/investing_algorithm_framework/domain/constants.py b/investing_algorithm_framework/domain/constants.py
index 25ace850..f880a7b0 100644
--- a/investing_algorithm_framework/domain/constants.py
+++ b/investing_algorithm_framework/domain/constants.py
@@ -8,6 +8,7 @@
 DATABASE_NAME = 'DATABASE_NAME'
 DATABASE_TYPE = 'DATABASE_TYPE'
 DATABASE_DIRECTORY_PATH = 'DATABASE_DIRECTORY_PATH'
+DATABASE_DIRECTORY_NAME = 'DATABASE_DIRECTORY_NAME'
 DATABASE_URL = 'DATABASE_URL'
 DEFAULT_DATABASE_NAME = "database"
 
@@ -54,16 +55,14 @@
 STRATEGIES = "STRATEGIES"
 APPLICATION_CONFIGURED = "APPLICATION_CONFIGURED"
 ACTION = "ACTION"
-
 DEFAULT_PER_PAGE_VALUE = 10
 DEFAULT_PAGE_VALUE = 1
 ITEMIZE = 'itemize'
 ITEMIZED = 'itemized'
 PAGE = 'page'
 PER_PAGE = 'per_page'
-
 DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S"
-DATETIME_FORMAT_BACKTESTING = "%Y-%m-%d:%H:%M"
+DATETIME_FORMAT_BACKTESTING = "%Y-%m-%d-%H-%M"
 CCXT_DATETIME_FORMAT_WITH_TIMEZONE = "%Y-%m-%dT%H:%M:%S.%fZ"
 CCXT_DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S.%f"
 BACKTESTING_FLAG = "BACKTESTING"
@@ -72,6 +71,7 @@
 BACKTESTING_END_DATE = "BACKTESTING_END_DATE"
 BACKTESTING_PENDING_ORDER_CHECK_INTERVAL \
     = "BACKTESTING_PENDING_ORDER_CHECK_INTERVAL"
+BACKTESTING_INITIAL_AMOUNT = "BACKTESTING_INITIAL_AMOUNT"
 TICKER_DATA_TYPE = "TICKER"
 OHLCV_DATA_TYPE = "OHLCV"
 CURRENT_UTC_DATETIME = "CURRENT_UTC_DATETIME"
diff --git a/investing_algorithm_framework/domain/models/__init__.py b/investing_algorithm_framework/domain/models/__init__.py
index d2ddcc0f..69a11f90 100644
--- a/investing_algorithm_framework/domain/models/__init__.py
+++ b/investing_algorithm_framework/domain/models/__init__.py
@@ -13,6 +13,7 @@
 from .trading_data_types import TradingDataType
 from .trading_time_frame import TradingTimeFrame
 from .date_range import DateRange
+from .market_data_type import MarketDataType
 
 __all__ = [
     "OrderStatus",
@@ -39,4 +40,5 @@
     "AppMode",
     "BacktestDateRange",
     "DateRange",
+    "MarketDataType"
 ]
diff --git a/investing_algorithm_framework/domain/models/backtesting/backtest_report.py b/investing_algorithm_framework/domain/models/backtesting/backtest_report.py
index e0e87258..563ae8bb 100644
--- a/investing_algorithm_framework/domain/models/backtesting/backtest_report.py
+++ b/investing_algorithm_framework/domain/models/backtesting/backtest_report.py
@@ -424,7 +424,10 @@ def to_dict(self):
             "average_trade_duration": self.average_trade_duration,
             "average_trade_size": self.average_trade_size,
             "positions": [position.to_dict() for position in self.positions],
-            "trades": [trade.to_dict() for trade in self.trades],
+            "trades": [
+                trade.to_dict(datetime_format=DATETIME_FORMAT)
+                for trade in self.trades
+            ],
             "orders": [
                 order.to_dict(datetime_format=DATETIME_FORMAT)
                 for order in self.orders
diff --git a/investing_algorithm_framework/domain/models/market_data_type.py b/investing_algorithm_framework/domain/models/market_data_type.py
new file mode 100644
index 00000000..a5edae19
--- /dev/null
+++ b/investing_algorithm_framework/domain/models/market_data_type.py
@@ -0,0 +1,46 @@
+from enum import Enum
+
+
+class MarketDataType(Enum):
+    OHLCV = "OHLCV"
+    TICKER = "TICKER"
+    ORDER_BOOK = "ORDER_BOOK"
+    CUSTOM = "CUSTOM"
+
+    @staticmethod
+    def from_string(value: str):
+
+        if isinstance(value, str):
+
+            for entry in MarketDataType:
+
+                if value.upper() == entry.value:
+                    return entry
+
+            raise ValueError(
+                f"Could not convert {value} to MarketDataType"
+            )
+
+    @staticmethod
+    def from_value(value):
+
+        if isinstance(value, str):
+            return MarketDataType.from_string(value)
+
+        if isinstance(value, MarketDataType):
+
+            for entry in MarketDataType:
+
+                if value == entry:
+                    return entry
+
+        raise ValueError(
+            f"Could not convert {value} to TimeFrame"
+        )
+
+    def equals(self, other):
+
+        if isinstance(other, Enum):
+            return self.value == other.value
+        else:
+            return MarketDataType.from_string(other) == self
diff --git a/investing_algorithm_framework/domain/models/order/order.py b/investing_algorithm_framework/domain/models/order/order.py
index e76885f8..5bfd607a 100644
--- a/investing_algorithm_framework/domain/models/order/order.py
+++ b/investing_algorithm_framework/domain/models/order/order.py
@@ -28,16 +28,12 @@ def __init__(
         target_symbol=None,
         trading_symbol=None,
         price=None,
-        net_gain=0,
         created_at=None,
         updated_at=None,
-        trade_closed_at=None,
-        trade_closed_price=None,
-        trade_closed_amount=None,
         external_id=None,
+        cost=None,
         filled=None,
         remaining=None,
-        cost=None,
         fee=None,
         position_id=None,
         order_fee=None,
@@ -70,21 +66,17 @@ def __init__(
         self.status = OrderStatus.from_value(status).value
         self.position_id = position_id
         self.amount = amount
-        self.net_gain = net_gain
-        self.trade_closed_at = trade_closed_at
-        self.trade_closed_price = trade_closed_price
-        self.trade_closed_amount = trade_closed_amount
         self.created_at = created_at
         self.updated_at = updated_at
         self.filled = filled
         self.remaining = remaining
-        self.cost = cost
         self.fee = fee
         self._available_amount = self.filled
         self.order_fee = order_fee
         self.order_fee_currency = order_fee_currency
         self.order_fee_rate = order_fee_rate
         self.id = id
+        self.cost = cost
 
     def get_id(self):
         return self.id
@@ -149,38 +141,6 @@ def set_amount(self, amount):
     def set_external_id(self, external_id):
         self.external_id = external_id
 
-    def get_net_gain(self):
-
-        if self.net_gain is None:
-            return 0
-
-        return self.net_gain
-
-    def set_net_gain(self, net_gain):
-        self.net_gain = net_gain
-
-    def get_trade_closed_at(self):
-        return self.trade_closed_at
-
-    def set_trade_closed_at(self, trade_closed_at):
-        self.trade_closed_at = trade_closed_at
-
-    def get_trade_closed_price(self):
-        return self.trade_closed_price
-
-    def set_trade_closed_price(self, trade_closed_price):
-        self.trade_closed_price = trade_closed_price
-
-    def get_trade_closed_amount(self):
-
-        if self.trade_closed_amount is not None:
-            return self.trade_closed_amount
-
-        return 0
-
-    def set_trade_closed_amount(self, trade_closed_amount):
-        self.trade_closed_amount = trade_closed_amount
-
     def get_created_at(self):
         return self.created_at
 
@@ -213,16 +173,6 @@ def get_remaining(self):
     def set_remaining(self, remaining):
         self.remaining = remaining
 
-    def get_cost(self):
-
-        if self.cost is None:
-            return 0
-
-        return self.cost
-
-    def set_cost(self, cost):
-        self.cost = cost
-
     def get_fee(self):
         return self.fee
 
@@ -257,12 +207,9 @@ def to_dict(self, datetime_format=None):
                 if self.created_at else None
             updated_at = self.updated_at.strftime(datetime_format) \
                 if self.updated_at else None
-            trade_closed_at = self.trade_closed_at.strftime(datetime_format) \
-                if self.trade_closed_at else None
         else:
             created_at = self.created_at
             updated_at = self.updated_at
-            trade_closed_at = self.trade_closed_at
 
         return {
             "external_id": self.external_id,
@@ -273,14 +220,11 @@ def to_dict(self, datetime_format=None):
             "status": self.status,
             "price": self.price,
             "amount": self.amount,
-            "net_gain": self.net_gain,
-            "trade_closed_at": trade_closed_at,
-            "trade_closed_price": self.trade_closed_price,
             "created_at": created_at,
             "updated_at": updated_at,
+            "cost": self.cost,
             "filled": self.filled,
             "remaining": self.remaining,
-            "cost": self.cost,
             "order_fee_currency": self.order_fee_currency,
             "order_fee_rate": self.order_fee_rate,
             "order_fee": self.order_fee,
@@ -316,7 +260,6 @@ def from_dict(data: dict):
             order_side=data.get("order_side", None),
             filled=data.get("filled", None),
             remaining=data.get("remaining", None),
-            cost=data.get("cost", None),
             fee=data.get("fee", None),
             created_at=created_at,
             updated_at=updated_at,
@@ -353,11 +296,11 @@ def from_ccxt_order(ccxt_order):
             price=ccxt_order.get("price", None),
             amount=ccxt_order.get("amount", None),
             status=status,
+            cost=ccxt_order.get("cost", None),
             order_type=ccxt_order.get("type", None),
             order_side=ccxt_order.get("side", None),
             filled=ccxt_order.get("filled", None),
             remaining=ccxt_order.get("remaining", None),
-            cost=ccxt_order.get("cost", None),
             order_fee=order_fee,
             order_fee_currency=order_fee_currency,
             order_fee_rate=order_fee_rate,
@@ -375,7 +318,6 @@ def __repr__(self):
             id=id_value,
             price=self.get_price(),
             amount=self.get_amount(),
-            net_gain=self.get_net_gain(),
             external_id=self.external_id,
             status=self.status,
             target_symbol=self.target_symbol,
@@ -384,10 +326,6 @@ def __repr__(self):
             order_type=self.order_type,
             filled=self.get_filled(),
             remaining=self.get_remaining(),
-            cost=self.get_cost(),
-            trade_closed_at=self.get_trade_closed_at(),
-            trade_closed_price=self.get_trade_closed_price(),
-            trade_closed_amount=self.get_trade_closed_amount(),
             created_at=self.get_created_at(),
             updated_at=self.get_updated_at(),
         )
diff --git a/investing_algorithm_framework/domain/models/order/order_status.py b/investing_algorithm_framework/domain/models/order/order_status.py
index 7e838ae0..6fc382cf 100644
--- a/investing_algorithm_framework/domain/models/order/order_status.py
+++ b/investing_algorithm_framework/domain/models/order/order_status.py
@@ -18,7 +18,7 @@ def from_string(value: str):
                 if value.upper() == order_type.value:
                     return order_type
 
-        raise ValueError("Could not convert value to OrderStatus")
+        raise ValueError(f"Could not convert value {value} to OrderStatus")
 
     @staticmethod
     def from_value(value):
diff --git a/investing_algorithm_framework/domain/models/time_frame.py b/investing_algorithm_framework/domain/models/time_frame.py
index 20d08692..fce76746 100644
--- a/investing_algorithm_framework/domain/models/time_frame.py
+++ b/investing_algorithm_framework/domain/models/time_frame.py
@@ -123,3 +123,24 @@ def amount_of_minutes(self):
 
         if self.equals(TimeFrame.ONE_MONTH):
             return 40320
+
+    # Add comparison methods for ordering
+    def __lt__(self, other):
+        if isinstance(other, TimeFrame):
+            return self.amount_of_minutes < other.amount_of_minutes
+        raise TypeError(f"Cannot compare TimeFrame with {type(other)}")
+
+    def __le__(self, other):
+        if isinstance(other, TimeFrame):
+            return self.amount_of_minutes <= other.amount_of_minutes
+        raise TypeError(f"Cannot compare TimeFrame with {type(other)}")
+
+    def __gt__(self, other):
+        if isinstance(other, TimeFrame):
+            return self.amount_of_minutes > other.amount_of_minutes
+        raise TypeError(f"Cannot compare TimeFrame with {type(other)}")
+
+    def __ge__(self, other):
+        if isinstance(other, TimeFrame):
+            return self.amount_of_minutes >= other.amount_of_minutes
+        raise TypeError(f"Cannot compare TimeFrame with {type(other)}")
diff --git a/investing_algorithm_framework/domain/models/trade/trade.py b/investing_algorithm_framework/domain/models/trade/trade.py
index 582558e2..40266694 100644
--- a/investing_algorithm_framework/domain/models/trade/trade.py
+++ b/investing_algorithm_framework/domain/models/trade/trade.py
@@ -1,13 +1,7 @@
-from datetime import datetime
-from typing import List
-
-import polars as pl
-from polars import DataFrame
-
-from investing_algorithm_framework.domain.constants import DATETIME_FORMAT
-from investing_algorithm_framework.domain.exceptions import \
-    OperationalException
 from investing_algorithm_framework.domain.models.base_model import BaseModel
+from investing_algorithm_framework.domain.models.order import OrderSide
+from investing_algorithm_framework.domain.models.trade.trade_status import \
+    TradeStatus
 
 
 class Trade(BaseModel):
@@ -24,264 +18,279 @@ class Trade(BaseModel):
 
     A single sell order can close multiple buy orders. Also, a single
     buy order can be closed by multiple sell orders.
+
+    Attributes:
+        id (int): the id of the trade
+        orders (List[Order]): the orders of the trade
+        target_symbol (str): the target symbol of the trade
+        trading_symbol (str): the trading symbol of the trade
+        closed_at (datetime): the datetime when the trade was closed
+        opened_at (datetime): the datetime when the trade was opened
+        open_price (float): the open price of the trade
+        amount (float): the amount of the trade
+        remaining (float): the remaining amount of the trade
+        net_gain (float): the net gain of the trade
+        last_reported_price (float): the last reported price of the trade
+        created_at (datetime): the datetime when the trade was created
+        updated_at (datetime): the datetime when the trade was last updated
+        status (str): the status of the trade
+        stop_loss_percentage (float): the stop loss percentage of
+            the trade
+        trailing_stop_loss_percentage (float): the trailing stop
+            loss percentage
     """
+
     def __init__(
         self,
-        buy_order_id,
+        id,
+        orders,
         target_symbol,
         trading_symbol,
-        amount,
-        open_price,
+        closed_at,
         opened_at,
-        closed_price=None,
-        closed_at=None,
-        current_price=None,
-        sell_order_id=None,
+        open_price,
+        amount,
+        cost,
+        remaining,
+        status,
+        net_gain=0,
+        last_reported_price=None,
+        high_water_mark=None,
+        updated_at=None,
+        stop_loss_percentage=None,
+        trailing_stop_loss_percentage=None,
+        stop_loss_triggered=False,
     ):
-        self._target_symbol = target_symbol
-        self._trading_symbol = trading_symbol
-        self._amount = amount
-        self._open_price = open_price
-        self._closed_price = closed_price
-        self._closed_at = closed_at
-        self._opened_at = opened_at
-        self._trading_symbol = trading_symbol
-        self._current_price = current_price
-        self._buy_order_id = buy_order_id
-        self._sell_order_id = sell_order_id,
+        self.id = id
+        self.orders = orders
+        self.target_symbol = target_symbol
+        self.trading_symbol = trading_symbol
+        self.closed_at = closed_at
+        self.opened_at = opened_at
+        self.open_price = open_price
+        self.amount = amount
+        self.cost = cost
+        self.remaining = remaining
+        self.net_gain = net_gain
+        self.last_reported_price = last_reported_price
+        self.high_water_mark = high_water_mark
+        self.status = status
+        self.updated_at = updated_at
+        self.stop_loss_percentage = stop_loss_percentage
+        self.trailing_stop_loss_percentage = trailing_stop_loss_percentage
+        self.stop_loss_triggered = stop_loss_triggered
 
     @property
-    def buy_order_id(self):
-        return self._buy_order_id
+    def closed_prices(self):
+        return [
+            order.price for order in self.orders
+            if order.order_side == OrderSide.SELL.value
+        ]
 
     @property
-    def sell_order_id(self):
-        return self._sell_order_id
+    def buy_order(self):
 
-    @property
-    def target_symbol(self):
-        return self._target_symbol
+        if self.orders is None:
+            return
 
-    @property
-    def trading_symbol(self):
-        return self._trading_symbol
+        return [
+            order for order in self.orders
+            if order.order_side == OrderSide.BUY.value
+        ][0]
 
     @property
     def symbol(self):
-        return f"{self.target_symbol}/{self.trading_symbol}"
-
-    def get_symbol(self):
-        return f"{self.target_symbol}/{self.trading_symbol}"
+        return f"{self.target_symbol.upper()}/{self.trading_symbol.upper()}"
 
     @property
-    def amount(self):
-        return self._amount
-
-    def get_amount(self):
-        return self.amount
-
-    @property
-    def open_price(self):
-        return self._open_price
+    def duration(self):
+        if TradeStatus.CLOSED.equals(self.status):
+            return self.closed_at - self.opened_at
 
-    @property
-    def closed_price(self):
-        return self._closed_price
+        if self.opened_at is None:
+            return None
 
-    @property
-    def closed_at(self):
-        return self._closed_at
+        if self.updated_at is None:
+            return None
 
-    @property
-    def opened_at(self):
-        return self._opened_at
+        return self.updated_at - self.opened_at
 
     @property
     def size(self):
         return self.amount * self.open_price
 
     @property
-    def status(self):
-        return "CLOSED" if self.closed_at else "OPEN"
+    def change(self):
+        if TradeStatus.CLOSED.equals(self.status):
+            cost = self.amount * self.open_price
+            return self.net_gain - cost
+
+        if self.last_reported_price is None:
+            return 0
+
+        cost = self.remaining * self.open_price
+        gain = (self.remaining * self.last_reported_price) - cost
+        gain += self.net_gain
+        return gain
 
     @property
-    def net_gain(self):
+    def net_gain_absolute(self):
 
-        if self.closed_at is None:
-            return 0
+        if TradeStatus.CLOSED.equals(self.status):
+            return self.net_gain
+        else:
+            gain = 0
 
-        return self.amount * (self.closed_price - self.open_price)
+            if self.last_reported_price is not None:
+                gain = (
+                    self.remaining *
+                    (self.last_reported_price - self.open_price)
+                )
+
+            gain += self.net_gain
+            return gain
 
     @property
     def net_gain_percentage(self):
 
-        if self.closed_at is None:
-            return 0
+        if TradeStatus.CLOSED.equals(self.status):
+            return (self.net_gain / self.cost) * 100
 
-        return self.net_gain / self.size * 100
+        else:
+            gain = 0
 
-    @property
-    def duration(self):
-        closed_at = self.closed_at
+            if self.last_reported_price is not None:
+                gain = (
+                    self.remaining *
+                    (self.last_reported_price - self.open_price)
+                )
+
+            gain += self.net_gain
 
-        if closed_at is None:
-            closed_at = datetime.utcnow()
+            if self.cost != 0:
+                return (gain / self.cost) * 100
 
-        return (closed_at - self.opened_at).total_seconds() / 3600
+            return 0
 
     @property
-    def current_price(self):
-        return self._current_price
+    def percentage_change(self):
 
-    @current_price.setter
-    def current_price(self, current_price):
-        self._current_price = current_price
+        if TradeStatus.CLOSED.equals(self.status):
+            cost = self.amount * self.open_price
+            gain = self.net_gain - cost
+            return (gain / cost) * 100
 
-    @property
-    def value(self):
+        if self.last_reported_price is None:
+            return 0
 
-        if self.closed_at is not None:
-            return self.amount * self.closed_price
+        cost = self.remaining * self.open_price
+        gain = (self.remaining * self.last_reported_price) - cost
+        gain += self.net_gain
+        return (gain / cost) * 100
 
-        if self.current_price is None:
-            return None
+    def is_stop_loss_triggered(self):
 
-        return self.amount * self.current_price
+        if self.stop_loss_percentage is None:
+            return False
 
-    @property
-    def percentage_change(self):
+        if self.last_reported_price is None:
+            return False
 
-        if self.closed_at is not None or self.value is None:
-            return 0
-        value = self.value
-        return (value - self.size) / self.size * 100
+        if self.open_price is None:
+            return False
 
-    def get_percentage_change(self):
-        return self.percentage_change
+        stop_loss_price = self.open_price * \
+            (1 - (self.stop_loss_percentage / 100))
 
-    @property
-    def absolute_change(self):
+        return self.last_reported_price <= stop_loss_price
 
-        if self.closed_at is None:
-            return 0
+    def is_trailing_stop_loss_triggered(self):
 
-        value = self.value
-        return value - self.size
+        if self.trailing_stop_loss_percentage is None:
+            return False
 
-    def get_absolute_change(self):
-        return self.absolute_change
+        if self.last_reported_price is None:
+            return False
 
-    def is_manual_stop_loss_trigger(
-        self,
-        current_price,
-        stop_loss_percentage,
-        prices: List[float] = None,
-        ohlcv_df: DataFrame = None
-    ):
-        """
-        Function to check if the stop loss is triggered for a given trade.
-
-        You can use either the prices list or the ohlcv_df DataFrame to
-        calculate the stop loss. The dataframe needs to be a Polars
-        DataFrame with the following columns: "Datetime" and "Close".
-
-        You can use the default CCXTOHLCVMarketDataSource to get the ohlcv_df
-        DataFrame.
-
-        Stop loss is triggered when the current price is lower than the
-        calculated stop loss price. The stop loss price is calculated by
-        taking the highest price of the given range. If the highest price
-        is lower than the open price, the stop loss price is calculated by
-        taking the open price and subtracting the stop loss percentage.
-        If the highest price is higher than the open price, the stop loss
-        price is calculated by taking the open price and adding the stop
-        loss percentage.
-        """
-
-        if prices is None and ohlcv_df is None:
-            raise OperationalException(
-                "Either prices or a polars ohlcv dataframe must be provided"
-            )
-
-        if current_price < self.open_price:
-            stop_loss_price = self.open_price * \
-                              (1 - stop_loss_percentage / 100)
-            return current_price <= stop_loss_price
+        if self.high_water_mark is None:
+
+            if self.open_price is not None:
+                self.high_water_mark = self.open_price
+            else:
+                return False
+
+        stop_loss_price = self.high_water_mark * \
+            (1 - (self.trailing_stop_loss_percentage / 100))
+
+        return self.last_reported_price <= stop_loss_price
+
+    def to_dict(self, datetime_format=None):
+
+        if datetime_format is not None:
+            opened_at = self.opened_at.strftime(datetime_format) \
+                if self.opened_at else None
+            closed_at = self.closed_at.strftime(datetime_format) \
+                if self.closed_at else None
+            updated_at = self.updated_at.strftime(datetime_format) \
+                if self.updated_at else None
         else:
-            # If dataframes are provided, we use the dataframe to calculate
-            # the stop loss price
-            if ohlcv_df is not None:
-                column_type = ohlcv_df['Datetime'].dtype
-
-                if isinstance(column_type, pl.Datetime):
-                    filtered_df = ohlcv_df.filter(
-                        pl.col('Datetime') >= self.opened_at
-                    )
-                else:
-                    filtered_df = ohlcv_df.filter(
-                        pl.col('Datetime') >= self.opened_at.strftime(
-                            DATETIME_FORMAT
-                        )
-                    )
-
-                prices = filtered_df['Close'].to_numpy()
-
-            highest_price = max(prices)
-            stop_loss_price = highest_price * (1 - stop_loss_percentage / 100)
-            return current_price <= stop_loss_price
-
-    def to_dict(self):
+            opened_at = self.opened_at
+            closed_at = self.closed_at
+            updated_at = self.updated_at
+
         return {
-            "buy_order_id": self.buy_order_id,
-            "sell_order_id": self.sell_order_id,
+            "id": self.id,
+            "orders": [
+                order.to_dict(datetime_format=datetime_format)
+                for order in self.orders
+            ],
             "target_symbol": self.target_symbol,
             "trading_symbol": self.trading_symbol,
             "status": self.status,
             "amount": self.amount,
+            "remaining": self.remaining,
             "open_price": self.open_price,
-            "current_price": self.current_price,
-            "closed_price": self.closed_price,
-            "opened_at": self.opened_at.strftime(DATETIME_FORMAT)
-            if self.opened_at else None,
-            "closed_at": self.closed_at.strftime(DATETIME_FORMAT)
-            if self.closed_at else None,
-            "change": self.percentage_change,
-            "absolute_change": self.absolute_change,
+            "last_reported_price": self.last_reported_price,
+            "opened_at": opened_at,
+            "closed_at": closed_at,
+            "updated_at": updated_at,
+            "net_gain": self.net_gain
         }
 
     @staticmethod
     def from_dict(data):
         return Trade(
-            buy_order_id=data["buy_order_id"] if "buy_order_id"
-            in data else None,
-            sell_order_id=data["sell_order_id"] if "sell_order_id"
-            in data else None,
+            id=data.get("id", None),
+            orders=data.get("orders", None),
             target_symbol=data["target_symbol"],
             trading_symbol=data["trading_symbol"],
             amount=data["amount"],
             open_price=data["open_price"],
-            opened_at=datetime.strptime(
-                data["opened_at"], DATETIME_FORMAT
-            ),
-            closed_price=data["closed_price"],
-            closed_at=datetime.strptime(
-                data["closed_at"], DATETIME_FORMAT
-            ) if data["closed_at"] else None,
-            current_price=data["current_price"],
+            opened_at=data["opened_at"],
+            closed_at=data["closed_at"],
+            remaining=data.get("remaining", 0),
+            net_gain=data.get("net_gain", 0),
+            last_reported_price=data.get("last_reported_price"),
+            status=data["status"],
+            cost=data.get("cost", 0),
+            updated_at=data.get("updated_at"),
         )
 
     def __repr__(self):
         return self.repr(
+            id=self.id,
             target_symbol=self.target_symbol,
             trading_symbol=self.trading_symbol,
             status=self.status,
             amount=self.amount,
+            remaining=self.remaining,
             open_price=self.open_price,
-            current_price=self.current_price,
-            closed_price=self.closed_price,
             opened_at=self.opened_at,
             closed_at=self.closed_at,
-            value=self.value,
-            change=self.percentage_change,
-            absolute_change=self.absolute_change,
+            net_gain=self.net_gain,
+            last_reported_price=self.last_reported_price,
         )
+
+    def __lt__(self, other):
+        # Define the less-than comparison based on created_at attribute
+        return self.opened_at < other.opened_at
diff --git a/investing_algorithm_framework/domain/models/trade/trade_status.py b/investing_algorithm_framework/domain/models/trade/trade_status.py
index 16afbf37..4df3509e 100644
--- a/investing_algorithm_framework/domain/models/trade/trade_status.py
+++ b/investing_algorithm_framework/domain/models/trade/trade_status.py
@@ -2,6 +2,7 @@
 
 
 class TradeStatus(Enum):
+    CREATED = "CREATED"
     OPEN = "OPEN"
     CLOSED = "CLOSED"
 
diff --git a/investing_algorithm_framework/domain/services/market_data_sources.py b/investing_algorithm_framework/domain/services/market_data_sources.py
index b575e025..73cf140b 100644
--- a/investing_algorithm_framework/domain/services/market_data_sources.py
+++ b/investing_algorithm_framework/domain/services/market_data_sources.py
@@ -91,21 +91,30 @@ def prepare_data(
         config,
         backtest_start_date,
         backtest_end_date,
-        **kwargs
     ):
+        """
+        Function to prepare the data for the backtest.
+        This function needs to be implemented by the child class.
+
+        Args:
+            config: dict - the configuration of the application
+            backtest_start_date: datetime - the start date of the backtest
+            backtest_end_date: datetime - the end date of the backtest
+
+        Returns:
+            None
+        """
         pass
 
     @abstractmethod
-    def get_data(self, **kwargs):
+    def get_data(self, date, config):
         """
-        Get data from the market data source.
-        :param kwargs: Additional arguments to get the data. Common arguments
-        - start_date: datetime
-        - end_date: datetime
-        - time_frame: str
-        - backtest_start_date: datetime
-        - backtest_end_date: datetime
-        - backtest_data_index_date: datetime
+        Function to get the data for the backtest. This function needs to be
+        implemented by the child class.
+
+        Args:
+            date: datetime - the date for which the data is required
+            config: dict - the configuration of the application
         """
         pass
 
@@ -222,15 +231,22 @@ def get_storage_path(self):
         return self.storage_path
 
     @abstractmethod
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        start_date: datetime = None,
+        end_date: datetime = None,
+        config=None,
+    ):
         """
         Get data from the market data source.
-        :param kwargs: Additional arguments to get the data. Common arguments
-        - start_date: datetime
-        - end_date: datetime
-        - time_frame: str
 
-        :return: Object with the data
+        Args:
+            config (dict): the configuration of the application
+            start_date (optional) (datetime): the start date of the data
+            end_date (optional) (datetime): the end date of the data
+
+        Returns:
+            DataFrame: the data from the market data source
         """
         pass
 
diff --git a/investing_algorithm_framework/domain/utils/backtesting.py b/investing_algorithm_framework/domain/utils/backtesting.py
index 7c051a7f..4bd2edd4 100644
--- a/investing_algorithm_framework/domain/utils/backtesting.py
+++ b/investing_algorithm_framework/domain/utils/backtesting.py
@@ -7,7 +7,7 @@
 from tabulate import tabulate
 
 from investing_algorithm_framework.domain import DATETIME_FORMAT, \
-    BacktestDateRange
+    BacktestDateRange, TradeStatus
 from investing_algorithm_framework.domain.exceptions import \
     OperationalException
 from investing_algorithm_framework.domain.models.backtesting import \
@@ -49,6 +49,10 @@ def pretty_print_profit_evaluation(reports, precision=4):
     profit_table["Profit percentage"] = [
         f"{report.total_net_gain_percentage:.{precision}f}%" for report in reports
     ]
+    profit_table["Percentage positive trades"] = [
+        f"{report.percentage_positive_trades:.{0}f}%"
+        for report in reports
+    ]
     profit_table["Date range"] = [
         f"{report.backtest_date_range.name} {report.backtest_date_range.start_date} - {report.backtest_date_range.end_date}"
         for report in reports
@@ -70,6 +74,10 @@ def pretty_print_growth_evaluation(reports, precision=4):
     growth_table["Growth percentage"] = [
         f"{report.growth_rate:.{precision}f}%" for report in reports
     ]
+    growth_table["Percentage positive trades"] = [
+        f"{report.percentage_positive_trades:.{0}f}%"
+        for report in reports
+    ]
     growth_table["Date range"] = [
         f"{report.backtest_date_range.name} {report.backtest_date_range.start_date} - {report.backtest_date_range.end_date}"
         for report in reports
@@ -243,6 +251,42 @@ def pretty_print_percentage_positive_trades(
     print(f"{COLOR_YELLOW}Most positive trades:{COLOR_RESET} {COLOR_GREEN}Algorithm {percentages.name} {percentages.percentage_positive_trades:.{precision}f}%{COLOR_RESET}")
 
 
+def pretty_print_trades(backtest_report, precision=4):
+    print(f"{COLOR_YELLOW}Trades overview{COLOR_RESET}")
+    trades_table = {}
+    trades_table["Pair"] = [
+        f"{trade.target_symbol}-{trade.trading_symbol}"
+        for trade in backtest_report.trades
+    ]
+    trades_table["Open date"] = [
+        trade.opened_at for trade in backtest_report.trades
+    ]
+    trades_table["Close date"] = [
+        trade.closed_at for trade in backtest_report.trades
+    ]
+    trades_table["Duration (hours)"] = [
+        trade.duration for trade in backtest_report.trades
+    ]
+    trades_table[f"Size ({backtest_report.trading_symbol})"] = [
+        f"{trade.size:.{precision}f}" for trade in backtest_report.trades
+    ]
+    trades_table[f"Net gain ({backtest_report.trading_symbol})"] = [
+        f"{trade.net_gain:.{precision}f}" + (" (unrealized)" if trade.closed_price is None else "")
+        for trade in backtest_report.trades
+    ]
+    trades_table["Net gain percentage"] = [
+        f"{trade.net_gain_percentage:.{precision}f}%" + (" (unrealized)" if trade.closed_price is None else "")
+        for trade in backtest_report.trades
+    ]
+    trades_table[f"Open price ({backtest_report.trading_symbol})"] = [
+        trade.open_price for trade in backtest_report.trades
+    ]
+    trades_table[f"Close price ({backtest_report.trading_symbol})"] = [
+        trade.closed_price for trade in backtest_report.trades
+    ]
+    print(tabulate(trades_table, headers="keys", tablefmt="rounded_grid"))
+
+
 def pretty_print_backtest_reports_evaluation(
     backtest_reports_evaluation: BacktestReportsEvaluation,
     precision=4,
@@ -412,22 +456,33 @@ def pretty_print_backtest(
         trades_table["Duration (hours)"] = [
             trade.duration for trade in backtest_report.trades
         ]
-        trades_table[f"Size ({backtest_report.trading_symbol})"] = [
-            f"{trade.size:.{precision}f}" for trade in backtest_report.trades
+        trades_table[f"Cost ({backtest_report.trading_symbol})"] = [
+            f"{trade.cost:.{precision}f}" for trade in backtest_report.trades
         ]
         trades_table[f"Net gain ({backtest_report.trading_symbol})"] = [
             f"{trade.net_gain:.{precision}f}"
             for trade in backtest_report.trades
         ]
+
+        # Add (unrealized) to the net gain if the trade is still open
+        trades_table[f"Net gain ({backtest_report.trading_symbol})"] = [
+            f"{trade.net_gain_absolute:.{precision}f}" + (" (unrealized)" if not TradeStatus.CLOSED.equals(trade.status) else "")
+            for trade in backtest_report.trades
+        ]
         trades_table["Net gain percentage"] = [
-            f"{trade.net_gain_percentage:.{precision}f}%"
+            f"{trade.net_gain_percentage:.{precision}f}%" + (" (unrealized)" if not TradeStatus.CLOSED.equals(trade.status) else "")
             for trade in backtest_report.trades
         ]
         trades_table[f"Open price ({backtest_report.trading_symbol})"] = [
             trade.open_price for trade in backtest_report.trades
         ]
-        trades_table[f"Close price ({backtest_report.trading_symbol})"] = [
-            trade.closed_price for trade in backtest_report.trades
+        trades_table[
+            f"Last reported price ({backtest_report.trading_symbol})"
+        ] = [
+            trade.last_reported_price for trade in backtest_report.trades
+        ]
+        trades_table["Stop loss triggered"] = [
+            trade.stop_loss_triggered for trade in backtest_report.trades
         ]
         print(tabulate(trades_table, headers="keys", tablefmt="rounded_grid"))
 
diff --git a/investing_algorithm_framework/domain/utils/polars.py b/investing_algorithm_framework/domain/utils/polars.py
index 20a13cb8..5398aebb 100644
--- a/investing_algorithm_framework/domain/utils/polars.py
+++ b/investing_algorithm_framework/domain/utils/polars.py
@@ -25,6 +25,10 @@ def convert_polars_to_pandas(
         DataFrame - Pandas DataFrame that has been converted
           from a Polars DataFrame
     """
+
+    if not isinstance(data, PolarsDataFrame):
+        raise ValueError("Data must be a Polars DataFrame")
+
     data = data.to_pandas().copy()
 
     if add_index:
diff --git a/investing_algorithm_framework/indicators/trend.py b/investing_algorithm_framework/indicators/trend.py
index 580fdd16..34430994 100644
--- a/investing_algorithm_framework/indicators/trend.py
+++ b/investing_algorithm_framework/indicators/trend.py
@@ -41,8 +41,14 @@ def is_uptrend(
     if isinstance(data, pd.Series):
 
         # Check if the data keys are present in the data
-        if fast_column not in data.index or slow_column not in data.index:
-            raise OperationalException("Data keys not present in the data.")
+        if fast_column not in data.index:
+            raise OperationalException(
+                f"Data column {fast_column} not present in the data."
+            )
+        if slow_column not in data.index:
+            raise OperationalException(
+                f"Data columns {slow_column} not present in the data."
+            )
 
         return data[fast_column] > data[slow_column]
 
@@ -362,6 +368,12 @@ def get_ema(
         named 'EMA_{period}' or named according to the
         result_column_name
     """
+
+    if source_column_name not in data.columns:
+        raise OperationalException(
+            f"Source column {source_column_name} not present in the data."
+        )
+
     ema = tp.ema(data[source_column_name].to_numpy(), period=period)
 
     if result_column_name:
diff --git a/investing_algorithm_framework/infrastructure/__init__.py b/investing_algorithm_framework/infrastructure/__init__.py
index cc6be269..0c29345c 100644
--- a/investing_algorithm_framework/infrastructure/__init__.py
+++ b/investing_algorithm_framework/infrastructure/__init__.py
@@ -1,12 +1,12 @@
 from .database import setup_sqlalchemy, Session, \
     create_all_tables
 from .models import SQLPortfolio, SQLOrder, SQLPosition, \
-    SQLPortfolioSnapshot, SQLPositionSnapshot, \
+    SQLPortfolioSnapshot, SQLPositionSnapshot, SQLTrade, \
     CCXTOHLCVBacktestMarketDataSource, CCXTOrderBookMarketDataSource, \
     CCXTTickerMarketDataSource, CCXTOHLCVMarketDataSource, \
     CSVOHLCVMarketDataSource, CSVTickerMarketDataSource
 from .repositories import SQLOrderRepository, SQLPositionRepository, \
-    SQLPortfolioRepository, \
+    SQLPortfolioRepository, SQLTradeRepository, \
     SQLPortfolioSnapshotRepository, SQLPositionSnapshotRepository
 from .services import PerformanceService, CCXTMarketService, \
     AzureBlobStorageStateHandler
@@ -21,6 +21,7 @@
     "setup_sqlalchemy",
     "Session",
     "SQLPortfolio",
+    "SQLTrade",
     "SQLOrder",
     "SQLPosition",
     "PerformanceService",
@@ -35,5 +36,6 @@
     "CSVTickerMarketDataSource",
     "CCXTOHLCVBacktestMarketDataSource",
     "CCXTOrderBookMarketDataSource",
-    "AzureBlobStorageStateHandler"
+    "AzureBlobStorageStateHandler",
+    "SQLTradeRepository"
 ]
diff --git a/investing_algorithm_framework/infrastructure/models/__init__.py b/investing_algorithm_framework/infrastructure/models/__init__.py
index a11c53f8..376a802c 100644
--- a/investing_algorithm_framework/infrastructure/models/__init__.py
+++ b/investing_algorithm_framework/infrastructure/models/__init__.py
@@ -5,6 +5,7 @@
 from .order import SQLOrder
 from .portfolio import SQLPortfolio, SQLPortfolioSnapshot
 from .position import SQLPosition, SQLPositionSnapshot
+from .trade import SQLTrade
 
 __all__ = [
     "SQLOrder",
@@ -18,4 +19,5 @@
     "CCXTOHLCVMarketDataSource",
     "CSVTickerMarketDataSource",
     "CSVOHLCVMarketDataSource",
+    "SQLTrade"
 ]
diff --git a/investing_algorithm_framework/infrastructure/models/market_data_sources/ccxt.py b/investing_algorithm_framework/infrastructure/models/market_data_sources/ccxt.py
index 40b91778..e584168d 100644
--- a/investing_algorithm_framework/infrastructure/models/market_data_sources/ccxt.py
+++ b/investing_algorithm_framework/infrastructure/models/market_data_sources/ccxt.py
@@ -180,39 +180,27 @@ def _create_file_path(self):
             )
         )
 
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        date,
+        config=None,
+    ):
         """
         Get data implementation of ccxt based ohlcv backtest market data
         source. This implementation will use polars to load and filter the
         data.
         """
-        start_date = kwargs.get("start_date")
-        end_date = kwargs.get("end_date")
-        backtest_index_date = kwargs.get("backtest_index_date")
-
         if self.data is None:
             self.load_data()
 
-        if start_date is None \
-                and end_date is None \
-                and backtest_index_date is None:
-            return self.data
+        end_date = date
 
-        if backtest_index_date is not None:
-            end_date = backtest_index_date
-            start_date = self.create_start_date(
-                end_date, self.time_frame, self.window_size
-            )
-        else:
-            if start_date is None:
-                start_date = self.create_start_date(
-                    end_date, self.time_frame, self.window_size
-                )
+        if end_date is None:
+            return self.data
 
-            if end_date is None:
-                end_date = self.create_end_date(
-                    start_date, self.time_frame, self.window_size
-                )
+        start_date = self.create_start_date(
+            end_date, self.time_frame, self.window_size
+        )
 
         if start_date < self._start_date_data_source:
             raise OperationalException(
@@ -233,7 +221,6 @@ def get_data(self, **kwargs):
             (self.data['Datetime'] >= start_date.strftime(DATETIME_FORMAT))
             & (self.data['Datetime'] <= end_date.strftime(DATETIME_FORMAT))
         )
-
         return selection
 
     def to_backtest_market_data_source(self) -> BacktestMarketDataSource:
@@ -301,7 +288,6 @@ def prepare_data(
         config,
         backtest_start_date,
         backtest_end_date,
-        **kwargs
     ):
         """
         Prepare data implementation of ccxt based ticker backtest market
@@ -313,7 +299,6 @@ def prepare_data(
 
         When downloading the data it will use the ccxt library.
         """
-        config = self.config
         total_minutes = TimeFrame.from_string(self.time_frame)\
             .amount_of_minutes
         self.backtest_data_start_date = \
@@ -395,30 +380,27 @@ def to_backtest_market_data_source(self) -> BacktestMarketDataSource:
     def empty(self):
         return False
 
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        date,
+        config,
+    ):
         """
         Get data implementation of ccxt based ticker backtest market data
         source
         """
-        if "backtest_index_date" not in kwargs:
-            raise OperationalException(
-                "backtest_index_date should be passed as a parameter "
-                "for CCXTTickerBacktestMarketDataSource"
-            )
-
         file_path = self._create_file_path()
-        backtest_index_date = kwargs["backtest_index_date"]
 
         # Filter the data based on the backtest index date and the end date
         df = polars.read_csv(file_path)
         filtered_df = df.filter(
-            (df['Datetime'] >= backtest_index_date.strftime(DATETIME_FORMAT))
+            (df['Datetime'] >= date.strftime(DATETIME_FORMAT))
         )
 
         # If nothing is found, get all dates before the index date
         if len(filtered_df) == 0:
             filtered_df = df.filter(
-                (df['Datetime'] <= backtest_index_date.strftime(
+                (df['Datetime'] <= date.strftime(
                     DATETIME_FORMAT))
             )
             first_row = filtered_df.tail(1)[0]
@@ -447,20 +429,23 @@ class CCXTOHLCVMarketDataSource(OHLCVMarketDataSource):
     ccxt to download all ohlcv data sources.
     """
 
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        start_date: datetime = None,
+        end_date: datetime = None,
+        config=None,
+    ):
         """
         Implementation of get_data for CCXTOHLCVMarketDataSource.
         This implementation uses the CCXTMarketService to get the OHLCV data.
 
         Args:
-            window_size: int (optional) - the total amount of candle
-            sticks that need to be returned
             start_date: datetime (optional) - the start date of the data. The
             first candle stick should close to this date.
             end_date: datetime (optional) - the end date of the data. The last
             candle stick should close to this date.
             storage_path: string (optional) - the storage path specifies the
-            directory where the data is written to or read from.
+                directory where the data is written to or read from.
                 If set the data provider will write all its downloaded data
                 to this location. Also, it will check if the
                 data already exists at the storage location. If this is the
@@ -477,38 +462,9 @@ def get_data(self, **kwargs):
         if self.config is not None:
             market_service.config = self.config
 
-        if "window_size" in kwargs:
-            self.window_size = kwargs["window_size"]
-
-        start_date = None
-        end_date = None
-
-        if "start_date" in kwargs:
-            start_date = kwargs["start_date"]
-
-            if not isinstance(start_date, datetime):
-                raise OperationalException(
-                    "start_date should be a datetime object"
-                )
-
-        if "end_date" in kwargs:
-            end_date = kwargs["end_date"]
-
-            if not isinstance(end_date, datetime):
-                raise OperationalException(
-                    "end_date should be a datetime object"
-                )
-
         # Calculate the start and end dates
         if start_date is None or end_date is None:
 
-            if self.window_size is None:
-                raise OperationalException(
-                    "Either end_date or window_size "
-                    "should be passed as a "
-                    "parameter for CCXTOHLCVMarketDataSource"
-                )
-
             if start_date is None:
 
                 if end_date is None:
@@ -526,10 +482,7 @@ def get_data(self, **kwargs):
                     window_size=self.window_size
                 )
 
-        if "storage_path" in kwargs:
-            storage_path = kwargs["storage_path"]
-        else:
-            storage_path = self.get_storage_path()
+        storage_path = self.get_storage_path()
 
         logger.info(
             f"Getting OHLCV data for {self.symbol} " +
@@ -698,7 +651,12 @@ def write_data_to_storage(
 
 class CCXTOrderBookMarketDataSource(OrderBookMarketDataSource):
 
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        start_date: datetime = None,
+        end_date: datetime = None,
+        config=None,
+    ):
         market_service = CCXTMarketService(
             market_credential_service=self.market_credential_service
         )
@@ -727,37 +685,20 @@ def __init__(
         )
         self._backtest_time_frame = backtest_time_frame
 
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        start_date: datetime = None,
+        end_date: datetime = None,
+        config=None,
+    ):
         market_service = CCXTMarketService(
             market_credential_service=self.market_credential_service
         )
         market_service.config = self.config
-
-        if self.market is None:
-
-            if "market" not in kwargs:
-                raise OperationalException(
-                    "Either market or market should be "
-                    "passed as a parameter"
-                )
-            else:
-                market = kwargs["market"]
-        else:
-            market = self.market
+        market = self.market
 
         market_service.market = market
-
-        if self.symbol is None:
-
-            if "symbol" not in kwargs:
-                raise OperationalException(
-                    "Either symbol or symbol should be passed as a parameter"
-                )
-            else:
-                symbol = kwargs["symbol"]
-        else:
-            symbol = self.symbol
-
+        symbol = self.symbol
         return market_service.get_ticker(symbol=symbol, market=market)
 
     def to_backtest_market_data_source(self) -> BacktestMarketDataSource:
diff --git a/investing_algorithm_framework/infrastructure/models/market_data_sources/csv.py b/investing_algorithm_framework/infrastructure/models/market_data_sources/csv.py
index a21ae2da..2c5bf66c 100644
--- a/investing_algorithm_framework/infrastructure/models/market_data_sources/csv.py
+++ b/investing_algorithm_framework/infrastructure/models/market_data_sources/csv.py
@@ -17,28 +17,23 @@ class CSVOHLCVMarketDataSource(OHLCVMarketDataSource):
     from a csv file. Market data source that reads OHLCV data from a csv file.
     """
 
-    def empty(self, start_date, end_date=None):
-        if end_date is None:
-            end_date = self.create_end_date(
-                start_date, self.time_frame, self.window_size
-            )
-        data = self.get_data(start_date=start_date, end_date=end_date)
+    def empty(self, end_date):
+        data = self.get_data(end_date=end_date, config={})
         return len(data) == 0
 
     def __init__(
         self,
         csv_file_path,
-        identifier=None,
         market=None,
         symbol=None,
-        time_frame=None,
+        identifier=None,
         window_size=None,
     ):
         super().__init__(
             identifier=identifier,
             market=market,
             symbol=symbol,
-            time_frame=time_frame,
+            time_frame=None,
             window_size=window_size,
         )
         self._csv_file_path = csv_file_path
@@ -67,7 +62,12 @@ def __init__(
     def csv_file_path(self):
         return self._csv_file_path
 
-    def get_data(self, **kwargs):
+    def get_data(
+        self,
+        start_date: datetime = None,
+        end_date: datetime = None,
+        config=None,
+    ):
         """
         Get the data from the csv file. The data can be filtered by
         the start_date and end_date in the kwargs. backtest_index_date
@@ -84,60 +84,70 @@ def get_data(self, **kwargs):
         Returns:
             df (polars.DataFrame): The data from the csv file.
         """
-        start_date = kwargs.get("start_date")
-        end_date = kwargs.get("end_date")
-        backtest_index_date = kwargs.get("backtest_index_date")
-
-        if "window_size" in kwargs:
-            self.window_size = kwargs["window_size"]
 
-        if start_date is None \
-                and end_date is None \
-                and backtest_index_date is None:
+        if start_date is None and end_date is None:
             return polars.read_csv(
                 self.csv_file_path, columns=self._columns, separator=","
             )
 
-        if backtest_index_date is not None:
-            end_date = backtest_index_date
+        if end_date is not None and start_date is not None:
 
-            if self.window_size is None:
+            if end_date < start_date:
                 raise OperationalException(
-                    "Either end_date or window_size "
-                    "should be passed as a "
-                    "parameter for CCXTOHLCVMarketDataSource"
+                    f"End date {end_date} is before the start date "
+                    f"{start_date}"
                 )
 
-            start_date = self.create_start_date(
-                end_date, self.time_frame, self.window_size
+            if start_date > self._end_date_data_source:
+                return polars.DataFrame()
+
+            df = polars.read_csv(
+                self.csv_file_path, columns=self._columns, separator=","
+            )
+
+            df = df.filter(
+                (df['Datetime'] >= start_date.strftime(DATETIME_FORMAT))
+                & (df['Datetime'] <= end_date.strftime(DATETIME_FORMAT))
             )
-        else:
-            if start_date is None:
-
-                if self.window_size is None:
-                    raise OperationalException(
-                        "Either end_date or window_size "
-                        "should be passed as a "
-                        "parameter for CCXTOHLCVMarketDataSource"
-                    )
-
-                start_date = self.create_start_date(
-                    end_date, self.time_frame, self.window_size
-                )
+            return df
 
-            if end_date is None:
-                end_date = self.create_end_date(
-                    start_date, self.time_frame, self.window_size
-                )
+        if start_date is not None:
+
+            if start_date < self._start_date_data_source:
+                return polars.DataFrame()
 
-        df = polars.read_csv(
+            if start_date > self._end_date_data_source:
+                return polars.DataFrame()
+
+            df = polars.read_csv(
+                self.csv_file_path, columns=self._columns, separator=","
+            )
+            df = df.filter(
+                (df['Datetime'] >= start_date.strftime(DATETIME_FORMAT))
+            )
+            df = df.head(self.window_size)
+            return df
+
+        if end_date is not None:
+
+            if end_date < self._start_date_data_source:
+                return polars.DataFrame()
+
+            if end_date > self._end_date_data_source:
+                return polars.DataFrame()
+
+            df = polars.read_csv(
+                self.csv_file_path, columns=self._columns, separator=","
+            )
+            df = df.filter(
+                (df['Datetime'] <= end_date.strftime(DATETIME_FORMAT))
+            )
+            df = df.tail(self.window_size)
+            return df
+
+        return polars.read_csv(
             self.csv_file_path, columns=self._columns, separator=","
         )
-        df = df.filter(
-            (df['Datetime'] >= start_date.strftime(DATETIME_FORMAT))
-            & (df['Datetime'] <= end_date.strftime(DATETIME_FORMAT))
-        )
-        return df
 
     def dataframe_to_list_of_lists(self, dataframe, columns):
         # Extract selected columns from DataFrame and convert
@@ -188,21 +198,18 @@ def __init__(
     def csv_file_path(self):
         return self._csv_file_path
 
-    def get_data(self, **kwargs):
-        date = None
-
-        if "index_datetime" in kwargs:
-            date = kwargs["index_datetime"]
-
-        if "start_date" in kwargs:
-            date = kwargs["start_date"]
-
-        if 'date' in kwargs:
-            date = kwargs['date']
+    def get_data(
+        self,
+        start_date: datetime = None,
+        end_date: datetime = None,
+        config=None,
+    ):
 
-        if date is None:
+        if end_date is None:
             raise OperationalException("Date is required to get ticker data")
 
+        date = end_date
+
         if not isinstance(date, datetime):
 
             if isinstance(date, str):
diff --git a/investing_algorithm_framework/infrastructure/models/market_data_sources/pandas.py b/investing_algorithm_framework/infrastructure/models/market_data_sources/pandas.py
index caf2a57c..47b5738e 100644
--- a/investing_algorithm_framework/infrastructure/models/market_data_sources/pandas.py
+++ b/investing_algorithm_framework/infrastructure/models/market_data_sources/pandas.py
@@ -1,4 +1,3 @@
-from datetime import datetime
 from pandas import DataFrame
 
 from investing_algorithm_framework.domain import OHLCVMarketDataSource, \
@@ -41,7 +40,7 @@ def prepare_data(self, config, backtest_start_date, backtest_end_date,
     def empty(self):
         pass
 
-    def get_data(self, **kwargs):
+    def get_data(self, config, date):
         pass
 
     def _validate_dataframe_with_ohlcv_structure(self):
@@ -90,7 +89,7 @@ def __init__(
         self.dataframe = dataframe
         self._validate_dataframe_with_ohlcv_structure()
 
-    def get_data(self, **kwargs):
+    def get_data(self, config, date):
         """
         Implementation of get_data for PandasOHLCVMarketDataSource.
         This implementation uses the dataframe provided in the constructor.
@@ -108,49 +107,12 @@ def get_data(self, **kwargs):
         returns:
             Polars Dataframe: a polars.DataFrame with the OHLCV data
         """
-
-        if "window_size" in kwargs:
-            self.window_size = kwargs["window_size"]
-
-        if "start_date" in kwargs:
-            start_date = kwargs["start_date"]
-
-            if not isinstance(start_date, datetime):
-                raise OperationalException(
-                    "start_date should be a datetime object"
-                )
-        else:
-            raise OperationalException(
-                "start_date should be set for CCXTOHLCVMarketDataSource"
-            )
-
-        if "end_date" not in kwargs:
-
-            if self.window_size is None:
-                raise OperationalException(
-                    "Either end_date or window_size "
-                    "should be passed as a "
-                    "parameter for CCXTOHLCVMarketDataSource"
-                )
-
-            end_date = self.create_end_date(
-                start_date, self.time_frame, self.window_size
-            )
-        else:
-            end_date = kwargs["end_date"]
-
-            if not isinstance(end_date, datetime):
-                raise OperationalException(
-                    "end_date should be a datetime object"
-                )
-
-        if not isinstance(start_date, datetime):
-            raise OperationalException(
-                "start_date should be a datetime object"
-            )
+        end_date = self.create_end_date(
+            date, self.time_frame, self.window_size
+        )
 
         # Slice the pandas dataframe object
-        return self.dataframe["Datetime" >= start_date]
+        return self.dataframe["Datetime" >= date & "Datetime" <= end_date]
 
     def to_backtest_market_data_source(self) -> BacktestMarketDataSource:
         # return CCXTOHLCVBacktestMarketDataSource(
diff --git a/investing_algorithm_framework/infrastructure/models/order/order.py b/investing_algorithm_framework/infrastructure/models/order/order.py
index 7ee3fc13..aeda00cd 100644
--- a/investing_algorithm_framework/infrastructure/models/order/order.py
+++ b/investing_algorithm_framework/infrastructure/models/order/order.py
@@ -9,6 +9,8 @@
 from investing_algorithm_framework.infrastructure.database import SQLBaseModel
 from investing_algorithm_framework.infrastructure.models.model_extension \
     import SQLAlchemyModelExtension
+from investing_algorithm_framework.infrastructure.models.\
+    order_trade_association import order_trade_association
 
 logger = logging.getLogger("investing_algorithm_framework")
 
@@ -21,24 +23,22 @@ class SQLOrder(Order, SQLBaseModel, SQLAlchemyModelExtension):
     trading_symbol = Column(String)
     order_side = Column(String, nullable=False, default=OrderSide.BUY.value)
     order_type = Column(String, nullable=False, default=OrderType.LIMIT.value)
+    trades = relationship(
+        'SQLTrade', secondary=order_trade_association, back_populates='orders'
+    )
     price = Column(Float)
     amount = Column(Float)
-    filled = Column(Float)
-    remaining = Column(Float)
-    cost = Column(Float)
+    remaining = Column(Float, default=0)
+    filled = Column(Float, default=0)
+    cost = Column(Float, default=0)
     status = Column(String)
     position_id = Column(Integer, ForeignKey('positions.id'))
     position = relationship("SQLPosition", back_populates="orders")
     created_at = Column(DateTime, default=datetime.utcnow)
     updated_at = Column(DateTime, default=datetime.utcnow)
-    trade_closed_at = Column(DateTime, default=None)
-    trade_closed_price = Column(Float, default=None)
-    trade_closed_amount = Column(Float, default=None)
-    net_gain = Column(Float, default=0)
     order_fee = Column(Float, default=None)
     order_fee_currency = Column(String)
     order_fee_rate = Column(Float, default=None)
-    _available_amount = None
 
     def update(self, data):
 
@@ -50,27 +50,13 @@ def update(self, data):
             price = data.pop('price')
             self.price = price
 
-        if 'filled' in data and data['filled'] is not None:
-            filled = data.pop('filled')
-            self.filled = filled
-
         if 'remaining' in data and data['remaining'] is not None:
             remaining = data.pop('remaining')
             self.remaining = remaining
 
-        if 'net_gain' in data and data['net_gain'] is not None:
-            net_gain = data.pop('net_gain')
-            self.net_gain = net_gain
-
-        if 'trade_closed_price' in data and \
-                data['trade_closed_price'] is not None:
-            trade_closed_price = data.pop('trade_closed_price')
-            self.trade_closed_price = trade_closed_price
-
-        if 'trade_closed_amount' in data and \
-                data['trade_closed_amount'] is not None:
-            trade_closed_amount = data.pop('trade_closed_amount')
-            self.trade_closed_amount = trade_closed_amount
+        if 'filled' in data and data['filled'] is not None:
+            filled = data.pop('filled')
+            self.filled = filled
 
         if "status" in data and data["status"] is not None:
             self.status = OrderStatus.from_value(data.pop("status")).value
@@ -82,6 +68,8 @@ def from_order(order):
         return SQLOrder(
             external_id=order.external_id,
             amount=order.get_amount(),
+            filled=order.get_filled(),
+            remaining=order.get_remaining(),
             price=order.price,
             order_type=order.get_order_type(),
             order_side=order.get(),
@@ -90,17 +78,18 @@ def from_order(order):
             trading_symbol=order.get_trading_symbol(),
             created_at=order.get_created_at(),
             updated_at=order.get_updated_at(),
-            trade_closed_at=order.get_trade_closed_at(),
-            trade_closed_price=order.get_trade_closed_price(),
-            trade_closed_amount=order.get_trade_closed_amount(),
-            net_gain=order.get_net_gain(),
         )
 
     @staticmethod
     def from_ccxt_order(ccxt_order):
         """
         Create an Order object from a CCXT order object
-        :param ccxt_order: CCXT order object
+
+        Args:
+            ccxt_order: CCXT order object
+
+        Returns:
+            Order: Order object
         """
         status = OrderStatus.from_value(ccxt_order["status"])
         target_symbol = ccxt_order.get("symbol").split("/")[0]
diff --git a/investing_algorithm_framework/infrastructure/models/order_trade_association.py b/investing_algorithm_framework/infrastructure/models/order_trade_association.py
new file mode 100644
index 00000000..742c6bf9
--- /dev/null
+++ b/investing_algorithm_framework/infrastructure/models/order_trade_association.py
@@ -0,0 +1,10 @@
+from sqlalchemy import Table, Column, Integer, ForeignKey
+from investing_algorithm_framework.infrastructure.database import SQLBaseModel
+
+# Association table
+order_trade_association = Table(
+    'order_trade',  # Table name
+    SQLBaseModel.metadata,
+    Column('order_id', Integer, ForeignKey('orders.id'), primary_key=True),
+    Column('trade_id', Integer, ForeignKey('trades.id'), primary_key=True)
+)
diff --git a/investing_algorithm_framework/infrastructure/models/trade.py b/investing_algorithm_framework/infrastructure/models/trade.py
new file mode 100644
index 00000000..0a738728
--- /dev/null
+++ b/investing_algorithm_framework/infrastructure/models/trade.py
@@ -0,0 +1,106 @@
+from sqlalchemy import Column, Integer, String, DateTime, Float, Boolean
+from sqlalchemy.orm import relationship
+
+from investing_algorithm_framework.domain import Trade, TradeStatus
+from investing_algorithm_framework.infrastructure.database import SQLBaseModel
+from investing_algorithm_framework.infrastructure.models.model_extension \
+    import SQLAlchemyModelExtension
+from investing_algorithm_framework.infrastructure.models\
+    .order_trade_association import order_trade_association
+
+
+class SQLTrade(Trade, SQLBaseModel, SQLAlchemyModelExtension):
+    """
+    SQL Trade model
+
+    A trade is a combination of a buy and sell order that has been opened or
+    closed.
+
+    A trade is considered opened when a buy order is executed and there is
+    no corresponding sell order. A trade is considered closed when a sell
+    order is executed and the amount of the sell order is equal or larger
+    to the amount of the buy order.
+
+    A single sell order can close multiple buy orders. Also, a single
+    buy order can be closed by multiple sell orders.
+
+    Attributes:
+    * orders: str, the id of the buy order
+    * target_symbol: str, the target symbol of the trade
+    * trading_symbol: str, the trading symbol of the trade
+    * closed_at: datetime, the datetime when the trade was closed
+    * remaining: float, the remaining amount of the trade
+    * net_gain: float, the net gain of the trade
+    * last_reported_price: float, the last reported price of the trade
+    * created_at: datetime, the datetime when the trade was created
+    * updated_at: datetime, the datetime when the trade was last updated
+    * status: str, the status of the trade
+    * stop_loss_percentage: float, the stop loss percentage of the trade
+    * trailing_stop_loss_percentage: float, the trailing stop loss percentage
+    """
+
+    __tablename__ = "trades"
+    id = Column(Integer, primary_key=True, unique=True)
+    orders = relationship(
+        'SQLOrder',
+        secondary=order_trade_association,
+        back_populates='trades',
+        lazy='joined'
+    )
+    target_symbol = Column(String)
+    trading_symbol = Column(String)
+    closed_at = Column(DateTime, default=None)
+    opened_at = Column(DateTime, default=None)
+    open_price = Column(Float, default=None)
+    amount = Column(Float, default=None)
+    remaining = Column(Float, default=None)
+    net_gain = Column(Float, default=0)
+    cost = Column(Float, default=0)
+    last_reported_price = Column(Float, default=None)
+    high_water_mark = Column(Float, default=None)
+    updated_at = Column(DateTime, default=None)
+    status = Column(String, default=TradeStatus.CREATED.value)
+    stop_loss_percentage = Column(Float, default=None)
+    trailing_stop_loss_percentage = Column(Float, default=None)
+    stop_loss_triggered = Column(Boolean, default=False)
+
+    def __init__(
+        self,
+        buy_order,
+        target_symbol,
+        trading_symbol,
+        opened_at,
+        amount,
+        remaining,
+        status=TradeStatus.CREATED.value,
+        closed_at=None,
+        updated_at=None,
+        net_gain=0,
+        cost=0,
+        last_reported_price=None,
+        high_water_mark=None,
+        sell_orders=[],
+        stop_loss_percentage=None,
+        trailing_stop_loss_percentage=None,
+        stop_loss_triggered=False
+    ):
+        self.orders = [buy_order]
+        self.open_price = buy_order.price
+        self.target_symbol = target_symbol
+        self.trading_symbol = trading_symbol
+        self.closed_at = closed_at
+        self.amount = amount
+        self.remaining = remaining
+        self.net_gain = net_gain
+        self.cost = cost
+        self.last_reported_price = last_reported_price
+        self.high_water_mark = high_water_mark
+        self.opened_at = opened_at
+        self.updated_at = updated_at
+        self.status = status
+        self.stop_loss_percentage = stop_loss_percentage
+        self.trailing_stop_loss_percentage = trailing_stop_loss_percentage
+        self.stop_loss_triggered = stop_loss_triggered
+
+        if sell_orders is not None:
+            self.orders.extend(sell_orders)
diff --git a/investing_algorithm_framework/infrastructure/repositories/__init__.py b/investing_algorithm_framework/infrastructure/repositories/__init__.py
index eee27cc1..edd3d852 100644
--- a/investing_algorithm_framework/infrastructure/repositories/__init__.py
+++ b/investing_algorithm_framework/infrastructure/repositories/__init__.py
@@ -3,6 +3,7 @@
 from .portfolio_snapshot_repository import SQLPortfolioSnapshotRepository
 from .position_repository import SQLPositionRepository
 from .position_snapshot_repository import SQLPositionSnapshotRepository
+from .trade_repository import SQLTradeRepository
 
 __all__ = [
     "SQLOrderRepository",
@@ -10,4 +11,5 @@
     "SQLPositionSnapshotRepository",
     "SQLPortfolioRepository",
     "SQLPortfolioSnapshotRepository",
+    "SQLTradeRepository"
 ]
diff --git a/investing_algorithm_framework/infrastructure/repositories/position_repository.py b/investing_algorithm_framework/infrastructure/repositories/position_repository.py
index 2d34177e..5d77bafd 100644
--- a/investing_algorithm_framework/infrastructure/repositories/position_repository.py
+++ b/investing_algorithm_framework/infrastructure/repositories/position_repository.py
@@ -20,6 +20,7 @@ def _apply_query_params(self, db, query, query_params):
         amount_lte_query_param = self.get_query_param(
             "amount_lte", query_params
         )
+        order_id_query_param = self.get_query_param("order_id", query_params)
 
         if amount_query_param:
             query = query.filter(
@@ -51,5 +52,11 @@ def _apply_query_params(self, db, query, query_params):
             query = query.filter(
                 cast(SQLPosition.amount, Numeric) <= amount_lte_query_param
             )
+        # Filter by order_id, orders is a one-to-many relationship
+        # with 3 position
+        if order_id_query_param:
+            query = query.filter(
+                SQLPosition.orders.any(id=order_id_query_param)
+            )
 
         return query
diff --git a/investing_algorithm_framework/infrastructure/repositories/repository.py b/investing_algorithm_framework/infrastructure/repositories/repository.py
index 4cbaa3a1..c07a9ccb 100644
--- a/investing_algorithm_framework/infrastructure/repositories/repository.py
+++ b/investing_algorithm_framework/infrastructure/repositories/repository.py
@@ -150,6 +150,9 @@ def exists(self, query_params):
 
     def find(self, query_params):
 
+        if query_params is None or len(query_params) == 0:
+            raise ApiException("Find requires query parameters")
+
         with Session() as db:
             try:
                 query = db.query(self.base_class)
diff --git a/investing_algorithm_framework/infrastructure/repositories/trade_repository.py b/investing_algorithm_framework/infrastructure/repositories/trade_repository.py
new file mode 100644
index 00000000..f7ce184d
--- /dev/null
+++ b/investing_algorithm_framework/infrastructure/repositories/trade_repository.py
@@ -0,0 +1,71 @@
+import logging
+from sqlalchemy.exc import SQLAlchemyError
+
+from investing_algorithm_framework.domain import OrderStatus, ApiException
+from investing_algorithm_framework.infrastructure.models import SQLPosition, \
+    SQLPortfolio, SQLTrade, SQLOrder
+from investing_algorithm_framework.infrastructure.database import Session
+
+from .repository import Repository
+
+logger = logging.getLogger("investing_algorithm_framework")
+
+
+class SQLTradeRepository(Repository):
+    base_class = SQLTrade
+    DEFAULT_NOT_FOUND_MESSAGE = "The requested trade was not found"
+
+    def _apply_query_params(self, db, query, query_params):
+        portfolio_query_param = self.get_query_param(
+            "portfolio_id", query_params
+        )
+        status_query_param = self.get_query_param("status", query_params)
+        target_symbol = self.get_query_param(
+            "target_symbol", query_params
+        )
+        trading_symbol = self.get_query_param("trading_symbol", query_params)
+        order_id_query_param = self.get_query_param("order_id", query_params)
+
+        if order_id_query_param:
+            query = query.filter(SQLTrade.orders.any(id=order_id_query_param))
+
+        if portfolio_query_param is not None:
+            portfolio = db.query(SQLPortfolio).filter_by(
+                id=portfolio_query_param
+            ).first()
+
+            if portfolio is None:
+                raise ApiException("Portfolio not found")
+
+            # Query trades belonging to the portfolio
+            query = db.query(SQLTrade).join(SQLOrder, SQLTrade.orders) \
+                .join(SQLPosition, SQLOrder.position_id == SQLPosition.id) \
+                .filter(SQLPosition.portfolio_id == portfolio.id)
+
+        if status_query_param:
+            status = OrderStatus.from_value(status_query_param)
+            # Explicitly filter on SQLTrade.status
+            query = query.filter(SQLTrade.status == status.value)
+
+        if target_symbol:
+            # Explicitly filter on SQLTrade.target_symbol
+            query = query.filter(SQLTrade.target_symbol == target_symbol)
+
+        if trading_symbol:
+            # Explicitly filter on SQLTrade.trading_symbol
+            query = query.filter(SQLTrade.trading_symbol == trading_symbol)
+
+        return query
+
+    def add_order_to_trade(self, trade, order):
+        with Session() as db:
+            try:
+                db.add(order)
+                db.add(trade)
+                trade.orders.append(order)
+                db.commit()
+                return trade
+            except SQLAlchemyError as e:
+                logger.error(f"Error saving trade: {e}")
+                db.rollback()
+                raise ApiException("Error saving trade")
diff --git a/investing_algorithm_framework/infrastructure/services/performance_service/performance_service.py b/investing_algorithm_framework/infrastructure/services/performance_service/performance_service.py
index 93ae5af3..cd5438bd 100644
--- a/investing_algorithm_framework/infrastructure/services/performance_service/performance_service.py
+++ b/investing_algorithm_framework/infrastructure/services/performance_service/performance_service.py
@@ -1,6 +1,7 @@
 import logging
 
-from investing_algorithm_framework.domain import OrderStatus, OrderSide
+from investing_algorithm_framework.domain import OrderStatus, OrderSide, \
+    TradeStatus
 
 logger = logging.getLogger(__name__)
 
@@ -15,10 +16,12 @@ def __init__(
         order_repository,
         position_repository,
         portfolio_repository,
+        trade_repository,
     ):
         self.order_repository = order_repository
         self.position_repository = position_repository
         self.portfolio_repository = portfolio_repository
+        self.trade_repository = trade_repository
 
     def get_total_net_gain(self, portfolio_id):
         pass
@@ -43,20 +46,10 @@ def get_number_of_trades_closed(self, portfolio_id):
         return: The number of trades closed
         """
         portfolio = self.portfolio_repository.find({"id": portfolio_id})
-        number_of_trades_closed = 0
-        orders = self.order_repository.get_all(
-            {
-                "portfolio_id": portfolio.id,
-                "order_side": OrderSide.BUY.value,
-            }
+        return self.trade_repository.count(
+            {"portfolio_id": portfolio.id, "status": TradeStatus.OPEN.value}
         )
 
-        for order in orders:
-            if order.get_trade_closed_at() is not None:
-                number_of_trades_closed += 1
-
-        return number_of_trades_closed
-
     def get_number_of_trades_open(self, portfolio_id):
         """
         Get the number of trades open. This function will
@@ -68,20 +61,10 @@ def get_number_of_trades_open(self, portfolio_id):
         return: The number of trades open
         """
         portfolio = self.portfolio_repository.find({"id": portfolio_id})
-        number_of_trades_open = 0
-        orders = self.order_repository.get_all(
-            {
-                "portfolio_id": portfolio.id,
-                "order_side": OrderSide.BUY.value,
-            }
+        return self.trade_repository.count(
+            {"portfolio_id": portfolio.id, "status": TradeStatus.OPEN.value}
         )
 
-        for order in orders:
-            if order.get_trade_closed_at() is None:
-                number_of_trades_open += 1
-
-        return number_of_trades_open
-
     def get_percentage_positive_trades(self, portfolio_id):
         """
         Get the percentage of positive trades. This function will
@@ -95,19 +78,19 @@ def get_percentage_positive_trades(self, portfolio_id):
         return: The percentage of positive trades
         """
         portfolio = self.portfolio_repository.find({"id": portfolio_id})
-        orders = self.order_repository.get_all(
+        trades = self.trade_repository.get_all(
             {"portfolio_id": portfolio.id, "status": OrderStatus.CLOSED.value}
         )
-        total_number_of_orders = len(orders)
+        total_number_of_trades = len(trades)
 
-        if total_number_of_orders == 0:
+        if total_number_of_trades == 0:
             return 0.0
 
-        positive_orders = [
-            order for order in orders if order.get_net_gain() > 0
+        positive_trades = [
+            trade for trade in trades if trade.net_gain > 0
         ]
-        total_number_of_positive_orders = len(positive_orders)
-        return total_number_of_positive_orders / total_number_of_orders * 100
+        total_number_of_positive_trades = len(positive_trades)
+        return total_number_of_positive_trades / total_number_of_trades * 100
 
     def get_percentage_negative_trades(self, portfolio_id):
         """
@@ -123,19 +106,19 @@ def get_percentage_negative_trades(self, portfolio_id):
         """
 
         portfolio = self.portfolio_repository.find({"id": portfolio_id})
-        orders = self.order_repository.get_all(
-            {"portfolio_id": portfolio.id, "status": OrderStatus.CLOSED.value}
+        trades = self.trade_repository.get_all(
+            {"portfolio_id": portfolio.id, "status": TradeStatus.CLOSED.value}
         )
-        total_number_of_orders = len(orders)
+        total_number_of_trades = len(trades)
 
-        if total_number_of_orders == 0:
+        if total_number_of_trades == 0:
             return 0.0
 
-        negative_orders = [
-            order for order in orders if order.get_net_gain() < 0
+        negative_trades = [
+            trade for trade in trades if trade.net_gain < 0
         ]
-        total_number_of_negative_orders = len(negative_orders)
-        return total_number_of_negative_orders / total_number_of_orders * 100
+        total_number_of_negative_trades = len(negative_trades)
+        return total_number_of_negative_trades / total_number_of_trades * 100
 
     def get_growth_rate_of_backtest(
         self, portfolio_id, tickers, backtest_profile
@@ -298,27 +281,20 @@ def get_average_trade_duration(self, portfolio_id):
         return: The average trade duration
         """
         portfolio = self.portfolio_repository.find({"id": portfolio_id})
-        buy_orders = self.order_repository.get_all(
-            {
-                "portfolio_id": portfolio.id,
-                "order_side": OrderSide.BUY.value,
-            }
+        trades = self.trade_repository.get_all(
+            {"portfolio_id": portfolio.id, "status": TradeStatus.CLOSED.value}
         )
-        buy_orders_with_trade_closed = [
-            order for order in buy_orders
-            if order.get_trade_closed_at() is not None
-        ]
 
-        if len(buy_orders_with_trade_closed) == 0:
+        if len(trades) == 0:
             return 0
 
         total_duration = 0
 
-        for order in buy_orders_with_trade_closed:
-            duration = order.get_trade_closed_at() - order.get_created_at()
+        for trade in trades:
+            duration = trade.closed_at - trade.opened_at
             total_duration += duration.total_seconds() / 3600
 
-        return total_duration / len(buy_orders_with_trade_closed)
+        return total_duration / len(trades)
 
     def get_average_trade_size(self, portfolio_id):
         """
@@ -332,23 +308,15 @@ def get_average_trade_size(self, portfolio_id):
         return: The average trade size
         """
         portfolio = self.portfolio_repository.find({"id": portfolio_id})
-        buy_orders = self.order_repository.get_all(
-            {
-                "portfolio_id": portfolio.id,
-                "order_side": OrderSide.BUY.value,
-            }
-        )
-        closed_buy_orders = [
-            order for order in buy_orders
-            if order.get_trade_closed_at() is not None
-        ]
+        portfolio = self.portfolio_repository.find({"id": portfolio_id})
+        trades = self.trade_repository.get_all({"portfolio_id": portfolio.id})
 
-        if len(closed_buy_orders) == 0:
+        if len(trades) == 0:
             return 0
 
         total_size = 0
 
-        for order in closed_buy_orders:
-            total_size += order.get_amount() * order.get_price()
+        for trade in trades:
+            total_size += trade.amount * trade.open_price
 
-        return total_size / len(closed_buy_orders)
+        return total_size / len(trades)
diff --git a/investing_algorithm_framework/services/backtesting/backtest_service.py b/investing_algorithm_framework/services/backtesting/backtest_service.py
index 874acc7d..1377890d 100644
--- a/investing_algorithm_framework/services/backtesting/backtest_service.py
+++ b/investing_algorithm_framework/services/backtesting/backtest_service.py
@@ -57,7 +57,8 @@ def __init__(
         position_repository,
         performance_service,
         configuration_service,
-        portfolio_configuration_service
+        portfolio_configuration_service,
+        strategy_orchestrator_service,
     ):
         self._resource_directory = None
         self._order_service = order_service
@@ -73,6 +74,7 @@ def __init__(
         self._backtest_market_data_sources = []
         self._configuration_service = configuration_service
         self._portfolio_configuration_service = portfolio_configuration_service
+        self._strategy_orchestrator_service = strategy_orchestrator_service
 
     @property
     def resource_directory(self):
@@ -98,8 +100,6 @@ def run_backtest(
         Also, all backtest data is downloaded (if not already downloaded) and
         the backtest is run for each date in the schedule.
 
-        At the end of the run all traces
-
         Args:
             algorithm: The algorithm to run the backtest for
             backtest_date_range: The backtest date range
@@ -163,10 +163,17 @@ def run_backtest(
                 strategy_profiles, row['id']
             )
             index_date = parser.parse(str(index))
-            self.run_backtest_for_profile(
+            self._configuration_service.add_value(
+                BACKTESTING_INDEX_DATETIME, index_date
+            )
+            # self.run_backtest_for_profile(
+            #     algorithm=algorithm,
+            #     strategy=algorithm.get_strategy(strategy_profile.strategy_id),
+            #     index_date=index_date,
+            # )
+            self.run_backtest_v2(
                 algorithm=algorithm,
-                strategy=algorithm.get_strategy(strategy_profile.strategy_id),
-                index_date=index_date,
+                strategy=algorithm.get_strategy(strategy_profile.strategy_id)
             )
 
         report = self.create_backtest_report(
@@ -239,6 +246,12 @@ def run_backtest_for_profile(self, algorithm, strategy, index_date):
         strategy.context = algorithm.context
         strategy.run_strategy(algorithm=algorithm, market_data=market_data)
 
+    def run_backtest_v2(self, strategy, algorithm):
+        config = self._configuration_service.get_config()
+        self._strategy_orchestrator_service.run_backtest_strategy(
+            algorithm=algorithm, strategy=strategy, config=config
+        )
+
     def generate_schedule(
         self, strategies, start_date, end_date
     ) -> pd.DataFrame:
diff --git a/investing_algorithm_framework/services/configuration_service.py b/investing_algorithm_framework/services/configuration_service.py
index c0a0ab66..9af0c9a2 100644
--- a/investing_algorithm_framework/services/configuration_service.py
+++ b/investing_algorithm_framework/services/configuration_service.py
@@ -15,7 +15,8 @@
     "BACKTEST_DATA_DIRECTORY_NAME": "backtest_data",
     "SYMBOLS": None,
     "DATETIME_FORMAT": "%Y-%m-%d %H:%M:%S",
-    "DATABASE_DIRECTORY_PATH": None
+    "DATABASE_DIRECTORY_PATH": None,
+    "DATABASE_DIRECTORY_NAME": "databases"
 }
 
 DEFAULT_FLASK_CONFIGURATION = {
@@ -39,8 +40,12 @@
 class ConfigurationService:
 
     def __init__(self):
-        self._config = DEFAULT_CONFIGURATION
-        self._flask_config = DEFAULT_FLASK_CONFIGURATION
+        self._config = DEFAULT_CONFIGURATION.copy()
+        self._flask_config = DEFAULT_FLASK_CONFIGURATION.copy()
+
+    def initialize(self):
+        self._config = DEFAULT_CONFIGURATION.copy()
+        self._flask_config = DEFAULT_FLASK_CONFIGURATION.copy()
 
     @property
     def config(self):
diff --git a/investing_algorithm_framework/services/market_data_source_service/backtest_market_data_source_service.py b/investing_algorithm_framework/services/market_data_source_service/backtest_market_data_source_service.py
index 95f7f418..2c4802fa 100644
--- a/investing_algorithm_framework/services/market_data_source_service/backtest_market_data_source_service.py
+++ b/investing_algorithm_framework/services/market_data_source_service/backtest_market_data_source_service.py
@@ -4,7 +4,9 @@
 
 from investing_algorithm_framework.domain import MarketService, \
     BacktestMarketDataSource, BACKTESTING_END_DATE, BACKTESTING_START_DATE, \
-    BACKTESTING_INDEX_DATETIME, OperationalException
+    BACKTESTING_INDEX_DATETIME, OperationalException, OHLCVMarketDataSource, \
+    TickerMarketDataSource, OrderBookMarketDataSource, MarketDataType, \
+    TimeFrame
 from investing_algorithm_framework.services.configuration_service import \
     ConfigurationService
 from investing_algorithm_framework.services.market_credential_service \
@@ -22,18 +24,23 @@ class BacktestMarketDataSourceService(MarketDataSourceService):
 
     The prepare_data method of BacktestMarketDataSource is called in the
     constructor.
+
+    The main difference between MarketDataSourceService and
+    the BacktestMarketDataSourceService is that it will
+    prepare the data for backtesting in the constructor.
     """
     def __init__(
         self,
-        market_data_sources: List[BacktestMarketDataSource],
         market_service: MarketService,
         market_credential_service: MarketCredentialService,
         configuration_service: ConfigurationService,
+        market_data_sources: List[BacktestMarketDataSource] = None
     ):
         super().__init__(
             market_service=market_service,
             market_data_sources=None,
             market_credential_service=market_credential_service,
+            configuration_service=configuration_service
         )
         self.market_data_sources = []
 
@@ -42,62 +49,113 @@ def __init__(
             for market_data_source in market_data_sources:
                 self.add(market_data_source)
 
-        self._configuration_service: ConfigurationService = \
-            configuration_service
+    def initialize_market_data_sources(self):
+        config = self._configuration_service.get_config()
+        backtest_start_date = config[BACKTESTING_START_DATE]
+        backtest_end_date = config[BACKTESTING_END_DATE]
+        backtest_market_data_sources = [
+            market_data_source.to_backtest_market_data_source() for
+            market_data_source in self._market_data_sources
+        ]
+
+        # Filter out the None values
+        backtest_market_data_sources = [
+            market_data_source for market_data_source in
+            backtest_market_data_sources if market_data_source is not None
+        ]
 
         for backtest_market_data_source in tqdm(
-            market_data_sources,
+            backtest_market_data_sources,
             total=len(self._market_data_sources),
             desc="Preparing backtest market data",
             colour="GREEN"
         ):
+            backtest_market_data_source.market_credential_service = \
+                self._market_credential_service
+            backtest_market_data_source.prepare_data(
+                config=config,
+                backtest_start_date=backtest_start_date,
+                backtest_end_date=backtest_end_date
+            )
 
-            if backtest_market_data_source is not None:
-                backtest_market_data_source.market_credentials_service = \
-                    self._market_credential_service
-                backtest_market_data_source.prepare_data(
-                    config=configuration_service.get_config(),
-                    backtest_start_date=configuration_service
-                    .get_config()[BACKTESTING_START_DATE],
-                    backtest_end_date=configuration_service
-                    .get_config()[BACKTESTING_END_DATE],
-                )
+        self.market_data_sources = backtest_market_data_sources
 
     def get_data(self, identifier):
         """
         This method is used to get the data for backtesting. It loops
         over all the backtest market data sources and returns the data
         for the given identifier (If there is a match).
+
+        If there is no match, it raises an OperationalException.
+
+        Args:
+            identifier: The identifier of the market data source
+
+        Returns:
+            The data for the given identifier
         """
-        for backtest_market_data_source in self._market_data_sources:
-            if backtest_market_data_source.identifier == identifier:
-                backtest_market_data_source.market_credentials_service = \
-                    self._market_credential_service
-                return backtest_market_data_source.get_data(
-                    backtest_index_date=self._configuration_service
-                    .config[BACKTESTING_INDEX_DATETIME],
+        for market_data_source in self._market_data_sources:
+
+            if market_data_source.get_identifier() == identifier:
+                config = self._configuration_service.get_config()
+                backtest_index_date = config[BACKTESTING_INDEX_DATETIME]
+                data = market_data_source.get_data(
+                    date=backtest_index_date, config=config
                 )
 
+                result = {
+                    "data": data,
+                    "type": None,
+                    "symbol": None,
+                    "time_frame": None
+                }
+
+                # Add metadata to the data
+                if isinstance(market_data_source, OHLCVMarketDataSource):
+                    result["type"] = MarketDataType.OHLCV
+                    time_frame = TimeFrame.from_value(
+                        market_data_source.time_frame
+                    )
+                    result["time_frame"] = time_frame.value
+                    result["symbol"] = market_data_source.symbol
+                    return result
+
+                if isinstance(market_data_source, TickerMarketDataSource):
+                    result["type"] = MarketDataType.TICKER
+                    result["time_frame"] = TimeFrame.CURRENT
+                    result["symbol"] = market_data_source.symbol
+                    return result
+
+                if isinstance(market_data_source, OrderBookMarketDataSource):
+                    result["type"] = MarketDataType.ORDER_BOOK
+                    result["time_frame"] = TimeFrame.CURRENT
+                    result["symbol"] = market_data_source.symbol
+                    return result
+
+                result["type"] = MarketDataType.CUSTOM
+                result["time_frame"] = TimeFrame.CURRENT
+                result["symbol"] = market_data_source.symbol
+                return result
+
         raise OperationalException(
             f"Backtest market data source not found for {identifier}"
         )
 
-    def get_ticker(self, symbol, market):
-        market_data_source = self.get_ticker_market_data_source(
+    def get_ticker(self, symbol, market=None):
+        ticker_market_data_source = self.get_ticker_market_data_source(
             symbol=symbol, market=market
         )
 
-        if market_data_source is None:
+        if ticker_market_data_source is None:
             raise OperationalException(
                 f"Backtest ticker data source "
                 f"not found for {symbol} and market {market}"
             )
 
-        market_data_source.market_credentials_service = \
-            self._market_credential_service
-        return market_data_source.get_data(
-            backtest_index_date=self._configuration_service
-            .config[BACKTESTING_INDEX_DATETIME],
+        config = self._configuration_service.get_config()
+        backtest_index_date = config[BACKTESTING_INDEX_DATETIME]
+        return ticker_market_data_source.get_data(
+            date=backtest_index_date, config=config
         )
 
     def get_order_book(self, symbol, market):
@@ -106,9 +164,10 @@ def get_order_book(self, symbol, market):
         )
         market_data_source.market_credential_service = \
             self._market_credential_service
+        config = self._configuration_service.get_config()
+        backtest_index_date = config[BACKTESTING_INDEX_DATETIME]
         return market_data_source.get_data(
-            backtest_index_date=self._configuration_service
-            .config[BACKTESTING_INDEX_DATETIME],
+            date=backtest_index_date, config=config
         )
 
     def get_ohlcv(
@@ -124,11 +183,10 @@ def get_ohlcv(
         )
         market_data_source.market_credential_service = \
             self._market_credential_service
+        config = self._configuration_service.get_config()
+        backtest_index_date = config[BACKTESTING_INDEX_DATETIME]
         return market_data_source.get_data(
-            from_timestamp=from_timestamp,
-            to_timestamp=to_timestamp,
-            backtest_index_date=self._configuration_service
-            .config[BACKTESTING_INDEX_DATETIME],
+            date=backtest_index_date, config=config
         )
 
     def is_ohlcv_data_source_present(self, symbol, time_frame, market):
diff --git a/investing_algorithm_framework/services/market_data_source_service/market_data_source_service.py b/investing_algorithm_framework/services/market_data_source_service/market_data_source_service.py
index 4f4a6196..78a971a0 100644
--- a/investing_algorithm_framework/services/market_data_source_service/market_data_source_service.py
+++ b/investing_algorithm_framework/services/market_data_source_service/market_data_source_service.py
@@ -1,8 +1,12 @@
 from typing import List
+from datetime import datetime, timezone
 
 from investing_algorithm_framework.domain import MarketService, \
     MarketDataSource, OHLCVMarketDataSource, TickerMarketDataSource, \
-    OrderBookMarketDataSource, TimeFrame, OperationalException
+    OrderBookMarketDataSource, TimeFrame, OperationalException, \
+    MarketDataType
+from investing_algorithm_framework.services.configuration_service import \
+    ConfigurationService
 from investing_algorithm_framework.services.market_credential_service \
     import MarketCredentialService
 
@@ -23,7 +27,8 @@ def __init__(
         self,
         market_service: MarketService,
         market_credential_service: MarketCredentialService,
-        market_data_sources: List[MarketDataSource] = None,
+        configuration_service: ConfigurationService,
+        market_data_sources: List[MarketDataSource] = None
     ):
 
         if market_data_sources is not None:
@@ -33,26 +38,43 @@ def __init__(
         self._market_service: MarketService = market_service
         self._market_credential_service: MarketCredentialService = \
             market_credential_service
+        self._configuration_service = configuration_service
+
+    def initialize_market_data_sources(self):
+
+        for market_data_source in self._market_data_sources:
+            market_data_source.market_credential_service = \
+                self._market_credential_service
 
     def get_ticker(self, symbol, market=None):
         ticker_market_data_source = self.get_ticker_market_data_source(
             symbol=symbol, market=market
         )
+        config = self._configuration_service.get_config()
+        date = config.get("DATE_TIME", None)
 
         if ticker_market_data_source is not None:
+
+            if date is not None:
+                return ticker_market_data_source.get_data(
+                   end_date=date, config=config
+                )
+
             return ticker_market_data_source.get_data(
-                market_credential_service=self._market_credential_service
+                end_date=datetime.now(tz=timezone.utc), config=config
             )
+
         return self._market_service.get_ticker(symbol, market)
 
     def get_order_book(self, symbol, market=None):
         order_book_market_data_source = self.get_order_book_market_data_source(
             symbol=symbol, market=market
         )
+        config = self._configuration_service.get_config()
 
         if order_book_market_data_source is not None:
             return order_book_market_data_source.get_data(
-                market_credential_service=self._market_credential_service
+                end_date=datetime.now(tz=timezone.utc), config=config
             )
 
         return self._market_service.get_order_book(symbol, market)
@@ -68,12 +90,11 @@ def get_ohlcv(
         ohlcv_market_data_source = self.get_ohlcv_market_data_source(
             symbol=symbol, market=market, time_frame=time_frame
         )
+        config = self._configuration_service.get_config()
 
         if ohlcv_market_data_source is not None:
             return ohlcv_market_data_source.get_data(
-                from_timestamp=from_timestamp,
-                to_timestamp=to_timestamp,
-                market_credential_service=self._market_credential_service
+                end_date=datetime.now(tz=timezone.utc), config=config
             )
 
         return self._market_service.get_ohlcv(
@@ -84,21 +105,130 @@ def get_ohlcv(
             to_timestamp=to_timestamp
         )
 
+    def get_data_for_strategy(self, strategy):
+        """
+        Function to get the data for the strategy. It loops over all
+          the market data sources in the strategy and returns the
+          data for each
+
+        Args:
+            strategy: The strategy for which the data is required
+
+        Returns:
+            The data for the strategy in dictionary format with
+              the keys being the identifier of the market data sources
+        """
+        identifiers = []
+
+        if strategy.market_data_sources is not None:
+            for market_data_source in strategy.market_data_sources:
+
+                if isinstance(market_data_source, MarketDataSource):
+                    identifiers.append(market_data_source.get_identifier())
+                elif isinstance(market_data_source, str):
+                    identifiers.append(market_data_source)
+                else:
+                    raise OperationalException(
+                        "Market data source must be a string " +
+                        "or MarketDataSource"
+                    )
+
+        market_data = {"metadata": {
+            MarketDataType.OHLCV: {},
+            MarketDataType.TICKER: {},
+            MarketDataType.ORDER_BOOK: {},
+            MarketDataType.CUSTOM: {}
+        }}
+
+        for identifier in identifiers:
+            result_data = self.get_data(identifier)
+
+            if "symbol" in result_data and result_data["symbol"] is not None \
+                    and "type" in result_data \
+                        and result_data["type"] is not None:
+                type = result_data["type"]
+                symbol = result_data["symbol"]
+                time_frame = result_data["time_frame"]
+
+                if symbol not in market_data["metadata"][type]:
+                    market_data["metadata"][type][symbol] = {}
+
+                if time_frame is None:
+                    market_data["metadata"][type][symbol] = identifier
+
+            if time_frame is not None and \
+                time_frame not in \
+                    market_data["metadata"][type][symbol]:
+                market_data["metadata"][type][symbol][time_frame] = identifier
+
+            market_data[identifier] = result_data["data"]
+        return market_data
+
     def get_data(self, identifier):
 
         for market_data_source in self._market_data_sources:
+
             if market_data_source.get_identifier() == identifier:
-                return market_data_source.get_data(
-                    market_credential_service=self._market_credential_service
-                )
+                config = self._configuration_service.get_config()
+
+                config = self._configuration_service.get_config()
+                date = config.get("DATE_TIME", None)
+
+                if date is not None:
+                    data = market_data_source.get_data(
+                        end_date=date, config=config
+                    )
+
+                if "DATE_TIME" in config:
+                    data = market_data_source.get_data(
+                        end_date=config["DATE_TIME"], config=config,
+                    )
+                else:
+                    data = market_data_source.get_data(
+                        end_date=datetime.now(tz=timezone.utc), config=config,
+                    )
+
+                result = {
+                    "data": data,
+                    "type": None,
+                    "symbol": None,
+                    "time_frame": None
+                }
+
+                # Add metadata to the data
+                if isinstance(market_data_source, OHLCVMarketDataSource):
+                    result["type"] = MarketDataType.OHLCV
 
-        if isinstance(identifier, str):
-            raise OperationalException(
-                f"Market data source with identifier {identifier} not found. "
-                "Please make sure that the market data source is "
-                "registered to the app if you refer to it by "
-                "identifier in your strategy."
-            )
+                    time_frame = market_data_source.time_frame
+
+                    if time_frame is not None:
+                        result["time_frame"] = time_frame.value
+                    else:
+                        result["time_frame"] = TimeFrame.CURRENT
+
+                    result["symbol"] = market_data_source.symbol
+                    return result
+
+                if isinstance(market_data_source, TickerMarketDataSource):
+                    result["type"] = MarketDataType.TICKER
+                    result["time_frame"] = TimeFrame.CURRENT
+                    result["symbol"] = market_data_source.symbol
+                    return result
+
+                if isinstance(market_data_source, OrderBookMarketDataSource):
+                    result["type"] = MarketDataType.ORDER_BOOK
+                    result["time_frame"] = TimeFrame.CURRENT
+                    result["symbol"] = market_data_source.symbol
+                    return result
+
+                result["type"] = MarketDataType.CUSTOM
+                result["time_frame"] = TimeFrame.CURRENT
+                result["symbol"] = market_data_source.symbol
+                return result
+
+        raise OperationalException(
+            f"Backtest market data source not found for {identifier}"
+        )
 
     def get_ticker_market_data_source(self, symbol, market=None):
 
@@ -208,6 +338,8 @@ def add(self, market_data_source):
                     market_data_source.get_identifier():
                 return
 
+        market_data_source.market_credential_service = \
+            self._market_credential_service
         self._market_data_sources.append(market_data_source)
 
     def get_market_data_sources(self):
diff --git a/investing_algorithm_framework/services/order_service/order_backtest_service.py b/investing_algorithm_framework/services/order_service/order_backtest_service.py
index d836be3b..54e88e7e 100644
--- a/investing_algorithm_framework/services/order_service/order_backtest_service.py
+++ b/investing_algorithm_framework/services/order_service/order_backtest_service.py
@@ -3,8 +3,7 @@
 import polars as pl
 
 from investing_algorithm_framework.domain import BACKTESTING_INDEX_DATETIME, \
-    OrderStatus, BACKTESTING_PENDING_ORDER_CHECK_INTERVAL, \
-    OperationalException, OrderSide, Order, TimeFrame
+    OrderStatus, OrderSide, Order, MarketDataType
 from investing_algorithm_framework.services.market_data_source_service \
     import BacktestMarketDataSourceService
 from .order_service import OrderService
@@ -17,6 +16,7 @@ class OrderBacktestService(OrderService):
     def __init__(
         self,
         order_repository,
+        trade_service,
         position_repository,
         portfolio_repository,
         portfolio_configuration_service,
@@ -25,6 +25,7 @@ def __init__(
         market_data_source_service: BacktestMarketDataSourceService,
     ):
         super(OrderService, self).__init__(order_repository)
+        self.trade_service = trade_service
         self.order_repository = order_repository
         self.position_repository = position_repository
         self.portfolio_repository = portfolio_repository
@@ -56,67 +57,37 @@ def execute_order(self, order_id, portfolio):
         )
         return order
 
-    def check_pending_orders(self):
+    def check_pending_orders(self, market_data):
         """
-        Function to check if any pending orders have executed.
+        Function to check if any pending orders have executed. It querys the
+        open orders and checks if the order has executed based on the OHLCV
+        data. If the order has executed, the order status is set to CLOSED
+        and the filled amount is set to the order amount.
+
+        Args:
+            market_data (dict): Dictionary containing the market data
+
+        Returns:
+            None
         """
         pending_orders = self.get_all({"status": OrderStatus.OPEN.value})
-        logger.info(f"Checking {len(pending_orders)} open orders")
-        config = self.configuration_service.get_config()
+        meta_data = market_data["metadata"]
 
         for order in pending_orders:
-            symbol = f"{order.target_symbol.upper()}" \
-                     f"/{order.trading_symbol.upper()}"
-            position = self.position_repository.get(order.position_id)
-            portfolio = self.portfolio_repository.get(position.portfolio_id)
-            time_frame = None
-
-            if BACKTESTING_PENDING_ORDER_CHECK_INTERVAL in \
-                    self.configuration_service.config:
-                time_frame = self.configuration_service\
-                    .config[BACKTESTING_PENDING_ORDER_CHECK_INTERVAL]
-
-            # Get the lowest time frame available
-            if time_frame is None:
-                # Loop through all time frames
-                for tf in TimeFrame:
-                    if self._market_data_source_service\
-                            .is_ohlcv_data_source_present(
-                                symbol=symbol,
-                                market=portfolio.market,
-                                time_frame=tf
-                            ):
-                        time_frame = tf
-                        break
-
-            if not self._market_data_source_service\
-                    .is_ohlcv_data_source_present(
-                        symbol=symbol,
-                        market=portfolio.market,
-                        time_frame=time_frame
-                    ):
-                raise OperationalException(
-                    f"OHLCV data source not found for {symbol} "
-                    f"and market {portfolio.market} for order check "
-                    f"time frame "
-                    f"{config[BACKTESTING_PENDING_ORDER_CHECK_INTERVAL]}. "
-                    f"Cannot check pending orders for symbol {symbol} "
-                    f"with market {portfolio.market}. Please add a ohlcv data"
-                    f"source for {symbol} and market {portfolio.market} with "
-                    f"time frame "
-                    f"{config[BACKTESTING_PENDING_ORDER_CHECK_INTERVAL]} "
-                )
+            ohlcv_meta_data = meta_data[MarketDataType.OHLCV]
+
+            if order.get_symbol() not in ohlcv_meta_data:
+                continue
 
-            config = self.configuration_service.get_config()
-            df = self._market_data_source_service.get_ohlcv(
-                symbol=symbol,
-                market=portfolio.market,
-                time_frame=time_frame,
-                to_timestamp=config[BACKTESTING_INDEX_DATETIME],
-                from_timestamp=order.get_created_at(),
+            timeframes = ohlcv_meta_data[order.get_symbol()].keys()
+            sorted_timeframes = sorted(timeframes)
+            most_granular_interval = sorted_timeframes[0]
+            identifier = (
+                ohlcv_meta_data[order.get_symbol()][most_granular_interval]
             )
+            data = market_data[identifier]
 
-            if self.has_executed(order, df):
+            if self.has_executed(order, data):
                 self.update(
                     order.id,
                     {
@@ -127,7 +98,6 @@ def check_pending_orders(self):
                         .config[BACKTESTING_INDEX_DATETIME]
                     }
                 )
-                break
 
     def cancel_order(self, order):
         self.check_pending_orders()
diff --git a/investing_algorithm_framework/services/order_service/order_service.py b/investing_algorithm_framework/services/order_service/order_service.py
index 7abf2bd2..edfc7400 100644
--- a/investing_algorithm_framework/services/order_service/order_service.py
+++ b/investing_algorithm_framework/services/order_service/order_service.py
@@ -1,6 +1,5 @@
 import logging
 from datetime import datetime
-from queue import PriorityQueue
 
 from dateutil.tz import tzutc
 
@@ -23,7 +22,8 @@ def __init__(
         portfolio_repository,
         portfolio_configuration_service,
         portfolio_snapshot_service,
-        market_credential_service
+        market_credential_service,
+        trade_service
     ):
         super(OrderService, self).__init__(order_repository)
         self.configuration_service = configuration_service
@@ -34,6 +34,7 @@ def __init__(
         self.portfolio_configuration_service = portfolio_configuration_service
         self.portfolio_snapshot_service = portfolio_snapshot_service
         self.market_credential_service = market_credential_service
+        self.trade_service = trade_service
 
     def create(self, data, execute=True, validate=True, sync=True) -> Order:
         portfolio_id = data["portfolio_id"]
@@ -68,6 +69,10 @@ def create(self, data, execute=True, validate=True, sync=True) -> Order:
                 .get(portfolio.identifier)
             self.execute_order(order_id, portfolio)
 
+        # Create trade from buy order if buy order
+        if OrderSide.BUY.equals(order.get_order_side()):
+            self.trade_service.create_trade_from_buy_order(order)
+
         return order
 
     def update(self, object_id, data):
@@ -208,7 +213,8 @@ def validate_sell_order(self, order_data, portfolio):
 
         if position.get_amount() < order_data["amount"]:
             raise OperationalException(
-                "Order amount is larger then amount of open position"
+                f"Order amount {order_data['amount']} is larger " +
+                f"then amount of open position {position.get_amount()}"
             )
 
         if not order_data["trading_symbol"] == portfolio.trading_symbol:
@@ -308,9 +314,20 @@ def validate_market_order(self, order_data, portfolio):
                     "Sell order amount larger then position size"
                 )
 
-    def check_pending_orders(self):
-        pending_orders = self.get_all({"status": OrderStatus.OPEN.value})
-        logger.info(f"Checking {len(pending_orders)} open orders")
+    def check_pending_orders(self, portfolio=None):
+        """
+        Function to check if
+        """
+
+        if portfolio is not None:
+            pending_orders = self.get_all(
+                {
+                    "status": OrderStatus.OPEN.value,
+                    "portfolio_id": portfolio.id
+                }
+            )
+        else:
+            pending_orders = self.get_all({"status": OrderStatus.OPEN.value})
 
         for order in pending_orders:
             position = self.position_repository.get(order.position_id)
@@ -354,6 +371,18 @@ def _sync_portfolio_with_created_buy_order(self, order):
         )
 
     def _sync_portfolio_with_created_sell_order(self, order):
+        """
+        Function to sync the portfolio with a created sell order. The
+        function will subtract the amount of the order from the position.
+        The portfolio will not be updated because the sell order has not been
+        filled.
+
+        Args:
+            order: Order object representing the sell order
+
+        Returns:
+            None
+        """
         position = self.position_repository.get(order.position_id)
         self.position_repository.update(
             position.id,
@@ -405,6 +434,10 @@ def _sync_with_buy_order_filled(self, previous_order, current_order):
             }
         )
 
+        self.trade_service.update_trade_with_buy_order(
+            filled_difference, current_order
+        )
+
     def _sync_with_sell_order_filled(self, previous_order, current_order):
         filled_difference = current_order.get_filled() - \
                             previous_order.get_filled()
@@ -441,8 +474,9 @@ def _sync_with_sell_order_filled(self, previous_order, current_order):
                 + filled_size
             }
         )
-
-        self._close_trades(filled_difference, current_order)
+        self.trade_service.update_trade_with_sell_order_filled(
+            filled_difference, current_order
+        )
 
     def _sync_with_buy_order_cancelled(self, order):
         remaining = order.get_amount() - order.get_filled()
@@ -616,113 +650,6 @@ def _sync_with_sell_order_rejected(self, order):
             }
         )
 
-    def _close_trades(self, amount_to_close, sell_order):
-        """
-        Close trades for an executed sell order.
-
-        This method will c
-        """
-        matching_buy_orders = self.order_repository.get_all(
-            {
-                "position": sell_order.position_id,
-                "order_side": OrderSide.BUY.value,
-                "status": OrderStatus.CLOSED.value
-            }
-        )
-        matching_buy_orders = [
-            buy_order for buy_order in matching_buy_orders
-            if buy_order.get_trade_closed_at() is None
-        ]
-        order_queue = PriorityQueue()
-
-        for order in matching_buy_orders:
-            order_queue.put(order)
-
-        total_net_gain = 0
-        total_cost = 0
-
-        while amount_to_close > 0 and not order_queue.empty():
-            buy_order = order_queue.get()
-            closed_amount = buy_order.get_trade_closed_amount()
-
-            # Check if the order has been closed
-            if closed_amount is None:
-                closed_amount = 0
-
-            available_to_close = buy_order.get_filled() - closed_amount
-
-            if amount_to_close >= available_to_close:
-                to_be_closed = available_to_close
-                remaining = amount_to_close - to_be_closed
-                cost = buy_order.get_price() * to_be_closed
-                net_gain = (sell_order.get_price() - buy_order.get_price()) \
-                    * to_be_closed
-                amount_to_close = remaining
-                self.order_repository.update(
-                    buy_order.id,
-                    {
-                        "trade_closed_amount": buy_order.get_filled(),
-                        "trade_closed_at": sell_order.get_updated_at(),
-                        "trade_closed_price": sell_order.get_price(),
-                        "net_gain": buy_order.get_net_gain() + net_gain
-                    }
-                )
-            else:
-                to_be_closed = amount_to_close
-                net_gain = (sell_order.get_price() - buy_order.get_price()) \
-                    * to_be_closed
-                cost = buy_order.get_price() * amount_to_close
-                closed_amount = buy_order.get_trade_closed_amount()
-
-                if closed_amount is None:
-                    closed_amount = 0
-
-                self.order_repository.update(
-                    buy_order.id,
-                    {
-                        "trade_closed_amount": closed_amount + to_be_closed,
-                        "trade_closed_price": sell_order.get_price(),
-                        "net_gain": buy_order.get_net_gain() + net_gain
-                    }
-                )
-                amount_to_close = 0
-
-            total_net_gain += net_gain
-            total_cost += cost
-
-        position = self.position_repository.get(sell_order.position_id)
-
-        # Update portfolio
-        portfolio = self.portfolio_repository.get(position.portfolio_id)
-        self.portfolio_repository.update(
-            portfolio.id,
-            {
-                "total_net_gain": portfolio.get_total_net_gain()
-                + total_net_gain,
-                "total_cost": portfolio.get_total_cost() - total_cost,
-                "net_size": portfolio.get_net_size() + total_net_gain
-            }
-        )
-        # Update the position
-        position = self.position_repository.get(sell_order.position_id)
-        self.position_repository.update(
-            position.id,
-            {
-                "cost": position.get_cost() - total_cost
-            }
-        )
-
-        # Update the sell order
-        self.order_repository.update(
-            sell_order.id,
-            {
-                "trade_closed_amount": sell_order.get_filled(),
-                "trade_closed_at": sell_order.get_updated_at(),
-                "trade_closed_price": sell_order.get_price(),
-                "net_gain": sell_order.get_net_gain() + total_net_gain
-            }
-        )
-
     def create_snapshot(self, portfolio_id, created_at=None):
 
         if created_at is None:
diff --git a/investing_algorithm_framework/services/portfolios/portfolio_sync_service.py b/investing_algorithm_framework/services/portfolios/portfolio_sync_service.py
index 7090142b..2979f1af 100644
--- a/investing_algorithm_framework/services/portfolios/portfolio_sync_service.py
+++ b/investing_algorithm_framework/services/portfolios/portfolio_sync_service.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework.domain import OperationalException, \
     AbstractPortfolioSyncService, RESERVED_BALANCES, SYMBOLS, \
-    OrderSide, OrderStatus
+    ENVIRONMENT, Environment
 from investing_algorithm_framework.services.trade_service import TradeService
 
 logger = logging.getLogger(__name__)
@@ -17,7 +17,7 @@ def __init__(
         self,
         trade_service: TradeService,
         configuration_service,
-        order_repository,
+        order_service,
         position_repository,
         portfolio_repository,
         portfolio_configuration_service,
@@ -26,7 +26,7 @@ def __init__(
     ):
         self.trade_service = trade_service
         self.configuration_service = configuration_service
-        self.order_repository = order_repository
+        self.order_service = order_service
         self.position_repository = position_repository
         self.portfolio_repository = portfolio_repository
         self.market_credential_service = market_credential_service
@@ -221,44 +221,13 @@ def sync_orders(self, portfolio):
             None
         """
 
-        open_orders = self.order_repository.get_all(
-            {
-                "portfolio": portfolio.identifier,
-                "status": OrderStatus.OPEN.value
-            }
-        )
-
-        for order in open_orders:
-            external_orders = self.market_service.get_orders(
-                symbol=order.get_symbol(),
-                since=order.created_at,
-                market=portfolio.market
-            )
-
-            for external_order in external_orders:
+        config = self.configuration_service.get_config()
 
-                if order.external_id == external_order.external_id:
-                    self.order_repository.update(
-                        order.id, external_order.to_dict()
-                    )
+        if ENVIRONMENT in config \
+                and Environment.BACKTEST.equals(config[ENVIRONMENT]):
+            return
 
-    def sync_trades(self, portfolio):
-        orders = self.order_repository.get_all(
-            {
-                "portfolio": portfolio.identifier,
-                "order_by_created_at_asc": True
-            }
-        )
-
-        sell_orders = [
-            order for order in orders
-            if OrderSide.SELL.equals(order.order_side)
-        ]
-
-        for sell_order in sell_orders:
-            self.trade_service.close_trades(
-                sell_order, sell_order.get_filled()
-            )
+        self.order_service.check_pending_orders(portfolio=portfolio)
 
     def _get_symbols(self, portfolio):
         config = self.configuration_service.config
diff --git a/investing_algorithm_framework/services/strategy_orchestrator_service.py b/investing_algorithm_framework/services/strategy_orchestrator_service.py
index 44503f5b..9885b610 100644
--- a/investing_algorithm_framework/services/strategy_orchestrator_service.py
+++ b/investing_algorithm_framework/services/strategy_orchestrator_service.py
@@ -4,7 +4,7 @@
 import schedule
 
 from investing_algorithm_framework.domain import StoppableThread, TimeUnit, \
-    OperationalException, MarketDataSource
+    OperationalException
 from investing_algorithm_framework.services.market_data_source_service \
     import MarketDataSourceService
 
@@ -33,7 +33,11 @@ class StrategyOrchestratorService:
         The service that provides market data
     """
 
-    def __init__(self, market_data_source_service: MarketDataSourceService):
+    def __init__(
+        self,
+        market_data_source_service: MarketDataSourceService,
+        configuration_service
+    ):
         self.history = {}
         self._strategies = []
         self._tasks = []
@@ -43,6 +47,7 @@ def __init__(self, market_data_source_service: MarketDataSourceService):
         self.clear()
         self.market_data_source_service: MarketDataSourceService \
             = market_data_source_service
+        self.configuration_service = configuration_service
 
     def cleanup_threads(self):
 
@@ -63,25 +68,15 @@ def run_strategy(self, strategy, algorithm, sync=False):
         if matching_thread:
             return
 
-        market_data = {}
-
-        if strategy.market_data_sources is not None \
-                and len(strategy.market_data_sources) > 0:
-
-            for data_id in strategy.market_data_sources:
-                if isinstance(data_id, MarketDataSource):
-                    market_data[data_id.get_identifier()] = \
-                        data_id.get_data()
-                else:
-                    market_data[data_id] = \
-                        self.market_data_source_service \
-                            .get_data(identifier=data_id)
+        market_data = \
+            self.market_data_source_service.get_data_for_strategy(strategy)
 
         logger.info(f"Running strategy {strategy.worker_id}")
 
         if sync:
             strategy.run_strategy(
-                market_data=market_data, algorithm=algorithm
+                market_data=market_data,
+                algorithm=algorithm,
             )
         else:
             self.iterations += 1
@@ -89,7 +84,7 @@ def run_strategy(self, strategy, algorithm, sync=False):
                 target=strategy.run_strategy,
                 kwargs={
                     "market_data": market_data,
-                    "algorithm": algorithm
+                    "algorithm": algorithm,
                 }
             )
             thread.name = strategy.worker_id
@@ -98,6 +93,15 @@ def run_strategy(self, strategy, algorithm, sync=False):
 
         self.history[strategy.worker_id] = {"last_run": datetime.utcnow()}
 
+    def run_backtest_strategy(self, strategy, algorithm, config):
+        data = \
+            self.market_data_source_service.get_data_for_strategy(strategy)
+
+        strategy.run_strategy(
+            market_data=data,
+            algorithm=algorithm,
+        )
+
     def run_task(self, task, algorithm, sync=False):
         self.cleanup_threads()
 
@@ -128,8 +132,17 @@ def run_task(self, task, algorithm, sync=False):
 
     def start(self, algorithm, number_of_iterations=None):
         """
-        F
+        Function to start and schedule the strategies and tasks
+
+        Args:
+            algorithm (Algorithm): The algorithm that will be used to run the
+                strategies and tasks
+            number_of_iterations (int): The number of iterations that the
+                strategies and tasks will run. If None, the
+                strategies and tasks
 
+        Returns:
+            None
         """
         self.max_iterations = number_of_iterations
 
diff --git a/investing_algorithm_framework/services/trade_service/trade_service.py b/investing_algorithm_framework/services/trade_service/trade_service.py
index 66c45f95..7fc90446 100644
--- a/investing_algorithm_framework/services/trade_service/trade_service.py
+++ b/investing_algorithm_framework/services/trade_service/trade_service.py
@@ -1,401 +1,347 @@
 import logging
 from queue import PriorityQueue
-from typing import List
+from dateutil import parser
 
-from investing_algorithm_framework.domain import OrderStatus, OrderSide, \
-    Trade, PeekableQueue, OrderType, TradeStatus, \
-    OperationalException, Order, RoundingService
-from investing_algorithm_framework.services.market_data_source_service import \
-    MarketDataSourceService
-from investing_algorithm_framework.services.position_service import \
-    PositionService
+from investing_algorithm_framework.domain import OrderStatus, \
+    TradeStatus, Trade, OperationalException, MarketDataType
+from investing_algorithm_framework.services.repository_service import \
+    RepositoryService
 
 logger = logging.getLogger(__name__)
 
 
-class TradeService:
-    """
-    Service for managing trades
-    """
+class TradeService(RepositoryService):
 
     def __init__(
         self,
+        trade_repository,
+        position_repository,
         portfolio_repository,
-        order_service,
-        position_service,
-        market_data_source_service
+        market_data_source_service,
+        configuration_service
     ):
+        super(TradeService, self).__init__(trade_repository)
         self.portfolio_repository = portfolio_repository
-        self.order_service = order_service
-        self.market_data_source_service: MarketDataSourceService = \
-            market_data_source_service
-        self.position_service: PositionService = position_service
+        self.market_data_source_service = market_data_source_service
+        self.position_repository = position_repository
+        self.configuration_service = configuration_service
 
-    def get_open_trades(self, target_symbol=None, market=None) -> List[Trade]:
+    def create_trade_from_buy_order(self, buy_order) -> Trade:
         """
-        Get open trades method
+        Function to create a trade from a buy order. If the given buy
+        order has its status set to CANCELED, EXPIRED, or REJECTED,
+        the trade object will not be created. If the given buy
+        order has its status set to CLOSED or OPEN, the trade object
+        will be created. The amount will be set to the filled amount.
 
-        :param target_symbol: str representing the target symbol
-        :param market: str representing the market
-        :return: list of Trade objects
+        Args:
+            buy_order: Order object representing the buy order
+
+        Returns:
+            Trade object
+        """
+        status = buy_order.get_status()
+
+        if status in \
+                [
+                    OrderStatus.CANCELED.value,
+                    OrderStatus.EXPIRED.value,
+                    OrderStatus.REJECTED.value
+                ]:
+            return None
+
+        data = {
+            "buy_order": buy_order,
+            "target_symbol": buy_order.target_symbol,
+            "trading_symbol": buy_order.trading_symbol,
+            "amount": buy_order.filled,
+            "remaining": buy_order.filled,
+            "opened_at": buy_order.created_at,
+            "cost": buy_order.filled * buy_order.price
+        }
+
+        if buy_order.filled > 0:
+            data["status"] = TradeStatus.OPEN.value
+            data["cost"] = buy_order.filled * buy_order.price
+
+        return self.create(data)
+
+    def update_trade_with_buy_order(
+        self, filled_difference, buy_order
+    ) -> Trade:
+        """
+        Function to update a trade from a buy order. This function
+        checks if a trade exists for the buy order. If the given buy
+        order has its status set to CANCLED, EXPIRED, or REJECTED, the
+        trade will object will be removed. If the given buy order has
+        its status set to CLOSED or OPEN, the amount and
+        remaining of the trade object will be updated.
+
+        Args:
+            filled_difference: float representing the difference between the
+                filled amount of the buy order and the filled amount
+                of the trade
+            buy_order: Order object representing the buy order
+
+        Returns:
+            Trade object
         """
 
-        portfolios = self.portfolio_repository.get_all()
-        trades = []
-
-        for portfolio in portfolios:
-
-            if target_symbol is not None:
-                buy_orders = self.order_service.get_all({
-                    "status": OrderStatus.CLOSED.value,
-                    "order_side": OrderSide.BUY.value,
-                    "portfolio_id": portfolio.id,
-                    "target_symbol": target_symbol
-                })
-                sell_orders = self.order_service.get_all({
-                    "status": OrderStatus.OPEN.value,
-                    "order_side": OrderSide.SELL.value,
-                    "portfolio_id": portfolio.id,
-                    "target_symbol": target_symbol
-                })
-            else:
-                buy_orders = self.order_service.get_all({
-                    "status": OrderStatus.CLOSED.value,
-                    "order_side": OrderSide.BUY.value,
-                    "portfolio_id": portfolio.id
-                })
-                sell_orders = self.order_service.get_all({
-                    "status": OrderStatus.OPEN.value,
-                    "order_side": OrderSide.SELL.value,
-                    "portfolio_id": portfolio.id
-                })
-
-            buy_orders = [
-                buy_order for buy_order in buy_orders
-                if buy_order.get_trade_closed_at() is None
-            ]
-            sell_amount = sum([order.amount for order in sell_orders])
-
-            # Subtract the amount of the open sell orders
-            # from the amount of the buy orders
-            buy_orders_queue = PeekableQueue()
-
-            for buy_order in buy_orders:
-                buy_orders_queue.enqueue(buy_order)
-
-            while sell_amount > 0 and not buy_orders_queue.is_empty():
-                first_buy_order = buy_orders_queue.peek()
-                available = first_buy_order.get_filled() \
-                    - first_buy_order.get_trade_closed_amount()
-
-                if available > sell_amount:
-                    remaining = available - sell_amount
-                    sell_amount = 0
-                    first_buy_order.set_filled(remaining)
-                else:
-                    sell_amount = sell_amount - available
-                    buy_orders_queue.dequeue()
-
-            for buy_order in buy_orders_queue:
-                symbol = buy_order.get_symbol()
-                current_price = buy_order.get_price()
-                try:
-                    ticker = self.market_data_source_service.get_ticker(
-                        symbol=symbol, market=market
-                    )
-                    current_price = ticker["bid"]
-                except Exception as e:
-                    logger.error(e)
-
-                amount = buy_order.get_filled()
-                closed_amount = buy_order.get_trade_closed_amount()
-
-                if closed_amount is not None:
-                    amount = amount - closed_amount
-
-                trades.append(
-                    Trade(
-                        buy_order_id=buy_order.id,
-                        target_symbol=buy_order.get_target_symbol(),
-                        trading_symbol=buy_order.get_trading_symbol(),
-                        amount=amount,
-                        open_price=buy_order.get_price(),
-                        opened_at=buy_order.get_created_at(),
-                        current_price=current_price
-                    )
-                )
+        trade = self.find({"buy_order": buy_order.id})
 
-        return trades
+        if trade is None:
+            raise OperationalException(
+                "Trade does not exist for buy order."
+            )
 
-    def get_trades(self, market=None) -> List[Trade]:
-        """
-        Get trades method
+        status = buy_order.get_status()
 
-        :param market: str representing the market
-        :param portfolio_id: str representing the portfolio id
-        :return: list of Trade objects
-        """
+        if status in \
+                [
+                    OrderStatus.CANCELED.value,
+                    OrderStatus.EXPIRED.value,
+                    OrderStatus.REJECTED.value
+                ]:
+            return self.delete(trade.id)
 
-        portfolios = self.portfolio_repository.get_all()
-        trades = []
-
-        for portfolio in portfolios:
-            buy_orders = self.order_service.get_all({
-                "status": OrderStatus.CLOSED.value,
-                "order_side": OrderSide.BUY.value,
-                "portfolio_id": portfolio.id
-            })
-
-            for buy_order in buy_orders:
-                symbol = buy_order.get_symbol()
-                current_price = buy_order.get_price()
-                try:
-                    ticker = self.market_data_source_service.get_ticker(
-                        symbol=symbol, market=market
-                    )
-                    current_price = ticker["bid"]
-                except Exception as e:
-                    logger.error(e)
-
-                trades.append(
-                    Trade(
-                        buy_order_id=buy_order.id,
-                        target_symbol=buy_order.get_target_symbol(),
-                        trading_symbol=buy_order.get_trading_symbol(),
-                        amount=buy_order.get_amount(),
-                        open_price=buy_order.get_price(),
-                        closed_price=buy_order.get_trade_closed_price(),
-                        closed_at=buy_order.get_trade_closed_at(),
-                        opened_at=buy_order.get_created_at(),
-                        current_price=current_price
-                    )
-                )
+        trade = self.find({"order_id": buy_order.id})
+        updated_data = {
+            "amount": trade.amount + filled_difference,
+            "remaining": trade.remaining + filled_difference,
+            "cost": trade.cost + filled_difference * buy_order.price
+        }
 
-        return trades
+        if filled_difference > 0:
+            updated_data["status"] = TradeStatus.OPEN.value
 
-    def get_closed_trades(self, portfolio_id=None) -> List[Trade]:
-        """
-        Get closed trades method
+        trade = self.update(trade.id, updated_data)
+        return trade
 
-        :param portfolio_id: str representing the portfolio id
-        :return: list of Trade objects
+    def update_trade_with_sell_order_filled(
+        self, filled_amount, sell_order
+    ) -> Trade:
         """
-        buy_orders = self.order_service.get_all({
-            "status": OrderStatus.CLOSED.value,
-            "order_side": OrderSide.BUY.value,
-            "portfolio_id": portfolio_id
-        })
-        return [
-            Trade(
-                buy_order_id=order.id,
-                target_symbol=order.get_target_symbol(),
-                trading_symbol=order.get_trading_symbol(),
-                amount=order.get_amount(),
-                open_price=order.get_price(),
-                closed_price=order.get_trade_closed_price(),
-                closed_at=order.get_trade_closed_at(),
-                opened_at=order.get_created_at()
-            ) for order in buy_orders
-            if order.get_trade_closed_at() is not None
-        ]
-
-    def close_trade(self, trade, market=None, precision=None) -> None:
+        Function to update a trade from a sell order that has been filled.
+        This function checks if a trade exists for the buy order.
+        If the given buy order has its status set to
+        CANCLED, EXPIRED, or REJECTED, the
+        trade will object will be removed. If the given buy order
+        has its status set to CLOSED or OPEN, the amount and
+        remaining of the trade object will be updated.
+
+        Args:
+            sell_order: Order object representing the sell order that has
+                been filled.
+            filled_amount: float representing the filled amount of the sell
+                order
+
+        Returns:
+            Trade object
         """
-        Close trade method
 
-        param trade: Trade object
-        param market: str representing the market
-        raises OperationalException: if trade is already closed
-        or if the buy order belonging to the trade has no amount
-
-        return: None
-        """
+        # Only update the trade if the sell order has been filled
+        if sell_order.get_status() != OrderStatus.CLOSED.value:
+            return None
 
-        if trade.closed_at is not None:
-            raise OperationalException("Trade already closed.")
+        position = self.position_repository.find({
+            "order_id": sell_order.id
+        })
+        portfolio_id = position.portfolio_id
+        matching_trades = self.get_all({
+            "status": TradeStatus.OPEN.value,
+            "target_symbol": sell_order.target_symbol,
+            "portfolio_id": portfolio_id
+        })
+        target_symbol = sell_order.target_symbol
+        price = sell_order.price
+        updated_at = sell_order.updated_at
+        amount_to_close = filled_amount
+        order_queue = PriorityQueue()
+        total_net_gain = 0
+        total_cost = 0
+        total_remaining = 0
 
-        order = self.order_service.get(trade.buy_order_id)
+        for trade in matching_trades:
+            if trade.remaining > 0:
+                total_remaining += trade.remaining
+                order_queue.put(trade)
 
-        if order.get_filled() <= 0:
+        if total_remaining < amount_to_close:
             raise OperationalException(
-                "Buy order belonging to the trade has no amount."
+                "Not enough amount to close in trades."
             )
 
-        portfolio = self.portfolio_repository\
-            .find({"position": order.position_id})
-        position = self.position_service.find(
-            {"portfolio": portfolio.id, "symbol": order.get_target_symbol()}
-        )
-        amount = order.get_amount()
+        while amount_to_close > 0 and not order_queue.empty():
+            trade = order_queue.get()
+            available_to_close = trade.remaining
 
-        if precision is not None:
-            amount = RoundingService.round_down(amount, precision)
+            if amount_to_close >= available_to_close:
+                cost = trade.buy_order.price * available_to_close
+                net_gain = (price * available_to_close) - cost
+                amount_to_close = amount_to_close - available_to_close
+                self.update(
+                    trade.id, {
+                        "remaining": 0,
+                        "closed_at": updated_at,
+                        "net_gain": trade.net_gain + net_gain,
+                        "status": TradeStatus.CLOSED.value
+                    }
+                )
+                self.repository.add_order_to_trade(trade, sell_order)
+            else:
+                to_be_closed = amount_to_close
+                cost = trade.buy_order.price * to_be_closed
+                net_gain = (price * to_be_closed) - cost
+                self.update(
+                    trade.id, {
+                        "remaining": trade.remaining - to_be_closed,
+                        "net_gain": trade.net_gain + net_gain,
+                        "orders": trade.orders.append(sell_order)
+                    }
+                )
+                self.repository.add_order_to_trade(trade, sell_order)
+                amount_to_close = 0
 
-        if position.get_amount() < amount:
-            logger.warning(
-                f"Order amount {amount} is larger then amount "
-                f"of available {position.symbol} "
-                f"position: {position.get_amount()}, "
-                f"changing order amount to size of position"
-            )
-            amount = position.get_amount()
+            total_net_gain += net_gain
+            total_cost += cost
 
-        symbol = order.get_symbol()
-        ticker = self.market_data_source_service.get_ticker(
-            symbol=symbol, market=market
+        portfolio = self.portfolio_repository.get(portfolio_id)
+        self.portfolio_repository.update(
+            portfolio.id,
+            {
+                "total_net_gain": portfolio.total_net_gain + total_net_gain,
+                "cost": portfolio.total_cost - total_cost
+            }
         )
-        self.order_service.create(
+        position = self.position_repository.find(
             {
-                "portfolio_id": portfolio.id,
-                "trading_symbol": order.get_trading_symbol(),
-                "target_symbol": order.get_target_symbol(),
-                "amount": amount,
-                "order_side": OrderSide.SELL.value,
-                "order_type": OrderType.LIMIT.value,
-                "price": ticker["bid"],
+                "portfolio": portfolio.id,
+                "symbol": target_symbol
+            }
+        )
+        self.position_repository.update(
+            position.id,
+            {
+                "cost": position.cost - total_cost,
             }
         )
 
-    def count(self, query_params=None) -> int:
-        """
-        Count method
+    def update_trades_with_market_data(self, market_data):
+        open_trades = self.get_all({"status": TradeStatus.OPEN.value})
+        meta_data = market_data["metadata"]
 
-        :param query_params: dict representing the query parameters
-        :return: int representing the count
-        """
+        for open_trade in open_trades:
+            ohlcv_meta_data = meta_data[MarketDataType.OHLCV]
 
-        portfolios = self.portfolio_repository.get_all()
-        trades = []
-
-        for portfolio in portfolios:
-            buy_orders = self.order_service.get_all({
-                "status": OrderStatus.CLOSED.value,
-                "order_side": OrderSide.BUY.value,
-                "portfolio_id": portfolio.id
-            })
-
-            for buy_order in buy_orders:
-                trades.append(
-                    Trade(
-                        buy_order_id=buy_order.id,
-                        target_symbol=buy_order.get_target_symbol(),
-                        trading_symbol=buy_order.get_trading_symbol(),
-                        amount=buy_order.get_amount(),
-                        open_price=buy_order.get_price(),
-                        closed_price=buy_order.get_trade_closed_price(),
-                        closed_at=buy_order.get_trade_closed_at(),
-                        opened_at=buy_order.get_created_at(),
-                    )
+            if open_trade.symbol not in ohlcv_meta_data:
+                continue
+
+            timeframes = ohlcv_meta_data[open_trade.symbol].keys()
+            sorted_timeframes = sorted(timeframes)
+            most_granular_interval = sorted_timeframes[0]
+            identifier = (
+                ohlcv_meta_data[open_trade.symbol][most_granular_interval]
+            )
+            data = market_data[identifier]
+
+            # Get last row of data
+            last_row = data.tail(1)
+            update_data = {
+                "last_reported_price": last_row["Close"][0],
+                "updated_at": parser.parse(
+                    last_row["Datetime"][0]
                 )
+            }
+            price = last_row["Close"][0]
+
+            if open_trade.trailing_stop_loss_percentage is not None:
 
-            if query_params is not None:
-                if "status" in query_params:
+                if open_trade.high_water_mark is None or \
+                        open_trade.high_water_mark < price:
+                    update_data["high_water_mark"] = price
 
-                    trade_status = TradeStatus\
-                        .from_value(query_params["status"])
+            self.update(open_trade.id, update_data)
 
-                    if trade_status == TradeStatus.OPEN:
-                        trades = [
-                            trade for trade in trades
-                            if trade.closed_at is None
-                        ]
-                    else:
-                        trades = [
-                            trade for trade in trades
-                            if trade.closed_at is not None
-                        ]
+    def add_stop_loss(self, trade, percentage):
+        """
+        Function to add a stop loss to a trade. The stop loss is
+        represented as a percentage of the open price.
 
-        return len(trades)
+        Args:
+            trade: Trade object representing the trade
+            percentage: float representing the percentage of the open price
+                that the stop loss should be set at
 
-    def close_trades(self, sell_order: Order, amount_to_close: float) -> None:
+        Returns:
+            None
         """
-        Close trades method
+        trade = self.get(trade.id)
+        updated_data = {
+            "stop_loss_percentage": percentage
+        }
+        self.update(trade.id, updated_data)
 
-        :param sell_order: Order object representing the sell order
-        :param amount_to_close: float representing the amount to close
-        :return: None
+    def add_trailing_stop_loss(self, trade, percentage):
         """
-        logger.info(
-            f"Closing trades for sell order {sell_order.get_id()} "
-            f"amount to close: {amount_to_close}"
-        )
+        Function to add a trailing stop loss to a trade. The trailing stop loss
+        is represented as a percentage of the open price.
 
-        matching_buy_orders = self.order_service.get_all(
-            {
-                "position": sell_order.position_id,
-                "order_side": OrderSide.BUY.value,
-                "status": OrderStatus.CLOSED.value,
-                "order_by_created_at_asc": True
-            }
-        )
-        matching_buy_orders = [
-            buy_order for buy_order in matching_buy_orders
-            if buy_order.get_trade_closed_at() is None
-        ]
-        order_queue = PriorityQueue()
+        Args:
+            trade: Trade object representing the trade
+            percentage: float representing the percentage of the open price
+                that the trailing stop loss should be set at
 
-        for order in matching_buy_orders:
-            order_queue.put(order)
+        Returns:
+            None
+        """
+        trade = self.get(trade.id)
+        updated_data = {
+            "trailing_stop_loss_percentage": percentage
+        }
+        self.update(trade.id, updated_data)
 
-        total_net_gain = 0
-        total_cost = 0
+    def get_triggered_stop_losses(self):
+        """
+        Function to check if any trades have hit their stop loss. If a trade
+        has hit its stop loss, the trade is added to a list of
+        triggered trades. This list is then returned.
 
-        while amount_to_close > 0 and not order_queue.empty():
-            buy_order = order_queue.get()
-            closed_amount = buy_order.get_trade_closed_amount()
+        Returns:
+            List of Trade objects
+        """
+        triggered_trades = []
+        query = {
+            "status": TradeStatus.OPEN.value,
+            "stop_loss_percentage_not_none": True
+        }
+        open_trades = self.get_all(query)
 
-            # Check if the order has been closed
-            if closed_amount is None:
-                closed_amount = 0
+        for open_trade in open_trades:
 
-            available_to_close = buy_order.get_filled() - closed_amount
+            if open_trade.is_stop_loss_triggered():
+                triggered_trades.append(open_trade)
 
-            if amount_to_close >= available_to_close:
-                to_be_closed = available_to_close
-                remaining = amount_to_close - to_be_closed
-                cost = buy_order.get_price() * to_be_closed
-                net_gain = (sell_order.get_price() - buy_order.get_price()) \
-                    * to_be_closed
-                amount_to_close = remaining
-                self.order_service.repository.update(
-                    buy_order.id,
-                    {
-                        "trade_closed_amount": buy_order.get_filled(),
-                        "trade_closed_at": sell_order.get_updated_at(),
-                        "trade_closed_price": sell_order.get_price(),
-                        "net_gain": buy_order.get_net_gain() + net_gain
-                    }
-                )
-            else:
-                to_be_closed = amount_to_close
-                net_gain = (sell_order.get_price() - buy_order.get_price()) \
-                    * to_be_closed
-                cost = buy_order.get_price() * amount_to_close
-                closed_amount = buy_order.get_trade_closed_amount()
-
-                if closed_amount is None:
-                    closed_amount = 0
-
-                self.order_service.repository.update(
-                    buy_order.id,
-                    {
-                        "trade_closed_amount": closed_amount + to_be_closed,
-                        "trade_closed_price": sell_order.get_price(),
-                        "net_gain": buy_order.get_net_gain() + net_gain
-                    }
-                )
-                amount_to_close = 0
+        return triggered_trades
 
-            total_net_gain += net_gain
-            total_cost += cost
+    def get_triggered_trailing_stop_losses(self):
+        """
+        Function to check if any trades have hit their stop loss. If a trade
+        has hit its stop loss, the trade is added to a list of
+        triggered trades. This list is then returned.
 
-        # Update the sell order
-        self.order_service.repository.update(
-            sell_order.get_id(),
-            {
-                "trade_closed_amount": sell_order.get_filled(),
-                "trade_closed_at": sell_order.get_updated_at(),
-                "trade_closed_price": sell_order.get_price(),
-                "net_gain": sell_order.get_net_gain() + total_net_gain
-            }
-        )
+        Returns:
+            List of Trade objects
+        """
+        triggered_trades = []
+        query = {
+            "status": TradeStatus.OPEN.value,
+            "trailing_stop_loss_percentage_not_none": True
+        }
+        open_trades = self.get_all(query)
+
+        for open_trade in open_trades:
+
+            if open_trade.is_trailing_stop_loss_triggered():
+                triggered_trades.append(open_trade)
+
+        return triggered_trades
diff --git a/pyproject.toml b/pyproject.toml
index 0b516130..226e21f5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ exclude = ["tests", "static", "examples", "docs"]
 
 
 [tool.poetry.dependencies]
-python = ">=3.10"
+python = ">=3.9"
 wrapt = "^1.16.0"
 Flask = "^2.3.2"
 Flask-Migrate = "^2.6.0"
diff --git a/tests/app/algorithm/test_check_order_status.py b/tests/app/algorithm/test_check_order_status.py
index c18402ea..9cf743c2 100644
--- a/tests/app/algorithm/test_check_order_status.py
+++ b/tests/app/algorithm/test_check_order_status.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     OrderStatus, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -22,6 +22,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_check_order_status(self):
         order_repository = self.app.container.order_repository()
diff --git a/tests/app/algorithm/test_close_position.py b/tests/app/algorithm/test_close_position.py
index 91199efb..438c9db3 100644
--- a/tests/app/algorithm/test_close_position.py
+++ b/tests/app/algorithm/test_close_position.py
@@ -3,7 +3,8 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     CSVTickerMarketDataSource, MarketCredential
-from tests.resources import TestBase, RandomPriceMarketDataSourceServiceStub
+from tests.resources import TestBase, RandomPriceMarketDataSourceServiceStub, \
+    MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -28,6 +29,7 @@ class Test(TestBase):
         None,
         None
     )
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def setUp(self) -> None:
         super(Test, self).setUp()
@@ -38,7 +40,7 @@ def setUp(self) -> None:
             csv_file_path=os.path.join(
                 self.resource_directory,
                 "market_data_sources",
-                "TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv"
+                "TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
             )
         ))
 
diff --git a/tests/app/algorithm/test_close_trade.py b/tests/app/algorithm/test_close_trade.py
index ec2b25b2..ca1b829d 100644
--- a/tests/app/algorithm/test_close_trade.py
+++ b/tests/app/algorithm/test_close_trade.py
@@ -3,7 +3,8 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     CSVTickerMarketDataSource, MarketCredential, OperationalException
-from tests.resources import TestBase, RandomPriceMarketDataSourceServiceStub
+from tests.resources import TestBase, RandomPriceMarketDataSourceServiceStub, \
+    MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -28,6 +29,7 @@ class Test(TestBase):
         None,
         None
     )
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def setUp(self) -> None:
         super().setUp()
@@ -38,7 +40,7 @@ def setUp(self) -> None:
             csv_file_path=os.path.join(
                 self.resource_directory,
                 "market_data_sources",
-                "TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv"
+                "TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
             )
         ))
 
@@ -54,14 +56,14 @@ def test_close_trade(self):
         btc_position = self.app.algorithm.get_position("BTC")
         self.assertIsNotNone(btc_position)
         self.assertEqual(0, btc_position.get_amount())
-        self.assertEqual(0, len(self.app.algorithm.get_trades()))
+        self.assertEqual(1, len(self.app.algorithm.get_trades()))
         order_service = self.app.container.order_service()
         order_service.check_pending_orders()
         self.assertEqual(1, len(self.app.algorithm.get_trades()))
         trades = self.app.algorithm.get_trades()
         trade = trades[0]
-        self.assertIsNotNone(trade.get_amount())
-        self.assertEqual(Decimal(1), trade.get_amount())
+        self.assertIsNotNone(trade.amount)
+        self.assertEqual(Decimal(1), trade.amount)
         self.app.algorithm.close_trade(trade)
         self.assertEqual(1, len(self.app.algorithm.get_trades()))
         order_service.check_pending_orders()
@@ -80,14 +82,14 @@ def test_close_trade_with_already_closed_trade(self):
         btc_position = self.app.algorithm.get_position("BTC")
         self.assertIsNotNone(btc_position)
         self.assertEqual(0, btc_position.get_amount())
-        self.assertEqual(0, len(self.app.algorithm.get_trades()))
+        self.assertEqual(1, len(self.app.algorithm.get_trades()))
         order_service = self.app.container.order_service()
         order_service.check_pending_orders()
         self.assertEqual(1, len(self.app.algorithm.get_trades()))
         trades = self.app.algorithm.get_trades()
         trade = trades[0]
-        self.assertIsNotNone(trade.get_amount())
-        self.assertEqual(Decimal(1), trade.get_amount())
+        self.assertIsNotNone(trade.amount)
+        self.assertEqual(Decimal(1), trade.amount)
         self.app.algorithm.close_trade(trade)
         self.assertEqual(1, len(self.app.algorithm.get_trades()))
         order_service.check_pending_orders()
diff --git a/tests/app/algorithm/test_create_limit_buy_order.py b/tests/app/algorithm/test_create_limit_buy_order.py
index dcf73464..42472bd8 100644
--- a/tests/app/algorithm/test_create_limit_buy_order.py
+++ b/tests/app/algorithm/test_create_limit_buy_order.py
@@ -1,6 +1,6 @@
 from investing_algorithm_framework import PortfolioConfiguration, \
     OrderStatus, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -20,6 +20,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def count_decimals(self, number):
         decimal_str = str(number)
diff --git a/tests/app/algorithm/test_create_limit_sell_order.py b/tests/app/algorithm/test_create_limit_sell_order.py
index f23d17b6..414e2dfd 100644
--- a/tests/app/algorithm/test_create_limit_sell_order.py
+++ b/tests/app/algorithm/test_create_limit_sell_order.py
@@ -1,6 +1,6 @@
 from investing_algorithm_framework import PortfolioConfiguration, \
     OrderStatus, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -20,6 +20,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_create_limit_sell_order(self):
         self.app.run(number_of_iterations=1)
diff --git a/tests/app/algorithm/test_create_market_sell_order.py b/tests/app/algorithm/test_create_market_sell_order.py
index d20f17a4..52be6a98 100644
--- a/tests/app/algorithm/test_create_market_sell_order.py
+++ b/tests/app/algorithm/test_create_market_sell_order.py
@@ -1,6 +1,6 @@
 from investing_algorithm_framework import PortfolioConfiguration, \
     OrderType, OrderSide, OrderStatus, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -21,6 +21,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_create_market_sell_order(self):
         portfolio = self.app.algorithm.get_portfolio()
diff --git a/tests/app/algorithm/test_get_allocated.py b/tests/app/algorithm/test_get_allocated.py
index f230c5a5..0cb3c01f 100644
--- a/tests/app/algorithm/test_get_allocated.py
+++ b/tests/app/algorithm/test_get_allocated.py
@@ -1,6 +1,7 @@
 from investing_algorithm_framework import TradingStrategy, TimeUnit, \
     MarketCredential, PortfolioConfiguration
-from tests.resources import TestBase, RandomPriceMarketDataSourceServiceStub
+from tests.resources import TestBase, RandomPriceMarketDataSourceServiceStub, \
+    MarketDataSourceServiceStub
 
 
 class StrategyOne(TradingStrategy):
@@ -39,6 +40,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_allocated(self):
         self.app.container.market_data_source_service.override(
diff --git a/tests/app/algorithm/test_get_closed_trades.py b/tests/app/algorithm/test_get_closed_trades.py
index f28f8769..3a0fa512 100644
--- a/tests/app/algorithm/test_get_closed_trades.py
+++ b/tests/app/algorithm/test_get_closed_trades.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     CSVTickerMarketDataSource, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,6 +23,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def setUp(self) -> None:
         super(Test, self).setUp()
@@ -33,18 +34,17 @@ def setUp(self) -> None:
             csv_file_path=os.path.join(
                 self.resource_directory,
                 "market_data_sources",
-                "TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv"
+                "TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
             )
         ))
 
     def test_get_open_trades(self):
-        self.app.algorithm.create_limit_order(
+        order = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=20
         )
-        order = self.app.algorithm.get_order()
         self.assertIsNotNone(order)
         self.assertEqual(0, len(self.app.algorithm.get_closed_trades()))
         order_service = self.app.container.order_service()
@@ -55,7 +55,6 @@ def test_get_open_trades(self):
         self.assertEqual(20, trade.amount)
         self.assertEqual("BTC", trade.target_symbol)
         self.assertEqual("EUR", trade.trading_symbol)
-        self.assertIsNone(trade.closed_price)
         self.assertIsNone(trade.closed_at)
         self.app.algorithm.create_limit_order(
             target_symbol="BTC",
diff --git a/tests/app/algorithm/test_get_number_of_positions.py b/tests/app/algorithm/test_get_number_of_positions.py
index 11107ac9..b7c1d771 100644
--- a/tests/app/algorithm/test_get_number_of_positions.py
+++ b/tests/app/algorithm/test_get_number_of_positions.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,6 +23,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_number_of_positions(self):
         trading_symbol_position = self.app.algorithm.get_position("EUR")
diff --git a/tests/app/algorithm/test_get_open_trades.py b/tests/app/algorithm/test_get_open_trades.py
index d8a386f6..af4fb660 100644
--- a/tests/app/algorithm/test_get_open_trades.py
+++ b/tests/app/algorithm/test_get_open_trades.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     CSVTickerMarketDataSource, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,28 +23,30 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def setUp(self) -> None:
         super(Test, self).setUp()
-        self.app.add_market_data_source(CSVTickerMarketDataSource(
-            identifier="BTC/EUR-ticker",
-            market="BITVAVO",
-            symbol="BTC/EUR",
-            csv_file_path=os.path.join(
-                self.resource_directory,
-                "market_data_sources_for_testing",
-                "TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv"
+        self.app.add_market_data_source(
+            CSVTickerMarketDataSource(
+                identifier="BTC/EUR-ticker",
+                market="BITVAVO",
+                symbol="BTC/EUR",
+                csv_file_path=os.path.join(
+                    self.resource_directory,
+                    "market_data_sources_for_testing",
+                    "TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
+                )
             )
-        ))
+        )
 
     def test_get_open_trades(self):
-        self.app.algorithm.create_limit_order(
+        order = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=20
         )
-        order = self.app.algorithm.get_order()
         self.assertIsNotNone(order)
         self.assertEqual(0, len(self.app.algorithm.get_open_trades("BTC")))
         order_service = self.app.container.order_service()
@@ -55,7 +57,6 @@ def test_get_open_trades(self):
         self.assertEqual(20, trade.amount)
         self.assertEqual("BTC", trade.target_symbol)
         self.assertEqual("EUR", trade.trading_symbol)
-        self.assertIsNone(trade.closed_price)
         self.assertIsNone(trade.closed_at)
         self.app.algorithm.create_limit_order(
             target_symbol="BTC",
@@ -63,7 +64,7 @@ def test_get_open_trades(self):
             order_side="SELL",
             amount=20
         )
-        self.assertEqual(0, len(self.app.algorithm.get_open_trades("BTC")))
+        self.assertEqual(1, len(self.app.algorithm.get_open_trades("BTC")))
         order_service.check_pending_orders()
         self.assertEqual(0, len(self.app.algorithm.get_open_trades("BTC")))
 
@@ -74,13 +75,12 @@ def test_get_open_trades_with_close_trades(self):
             order_side="BUY",
             amount=5
         )
-        self.app.algorithm.create_limit_order(
+        order = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=5
         )
-        order = self.app.algorithm.get_order()
         self.assertIsNotNone(order)
         self.assertEqual(0, len(self.app.algorithm.get_open_trades("BTC")))
         order_service = self.app.container.order_service()
@@ -91,7 +91,6 @@ def test_get_open_trades_with_close_trades(self):
         self.assertEqual(5, trade.amount)
         self.assertEqual("BTC", trade.target_symbol)
         self.assertEqual("EUR", trade.trading_symbol)
-        self.assertIsNone(trade.closed_price)
         self.assertIsNone(trade.closed_at)
         self.assertEqual(
             0,
@@ -110,7 +109,7 @@ def test_get_open_trades_with_close_trades(self):
                 self.app.algorithm.get_orders(order_side="SELL", status="OPEN")
             )
         )
-        self.assertEqual(1, len(self.app.algorithm.get_open_trades("BTC")))
+        self.assertEqual(2, len(self.app.algorithm.get_open_trades("BTC")))
         self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
@@ -120,23 +119,25 @@ def test_get_open_trades_with_close_trades(self):
         self.assertEqual(2, len(
             self.app.algorithm.get_orders(order_side="SELL", status="OPEN"))
         )
-        self.assertEqual(0, len(self.app.algorithm.get_open_trades("BTC")))
+        self.assertEqual(2, len(self.app.algorithm.get_open_trades("BTC")))
 
     def test_get_open_trades_with_close_trades_of_partial_buy_orders(self):
-        self.app.algorithm.create_limit_order(
+        order_one = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=5
         )
-        self.app.algorithm.create_limit_order(
+        order_two = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=5
         )
-        order = self.app.algorithm.get_order()
-        self.assertIsNotNone(order)
+        order_one_id = order_one.id
+        order_two_id = order_two.id
+        self.assertIsNotNone(order_one)
+        self.assertIsNotNone(order_two)
         self.assertEqual(0, len(self.app.algorithm.get_open_trades("BTC")))
         order_service = self.app.container.order_service()
         order_service.check_pending_orders()
@@ -146,7 +147,6 @@ def test_get_open_trades_with_close_trades_of_partial_buy_orders(self):
         self.assertEqual(5, trade.amount)
         self.assertEqual("BTC", trade.target_symbol)
         self.assertEqual("EUR", trade.trading_symbol)
-        self.assertIsNone(trade.closed_price)
         self.assertIsNone(trade.closed_at)
         self.assertEqual(
             0,
@@ -165,13 +165,15 @@ def test_get_open_trades_with_close_trades_of_partial_buy_orders(self):
                 self.app.algorithm.get_orders(order_side="SELL", status="OPEN")
             )
         )
-        open_trades = self.app.algorithm.get_open_trades("BTC")
-        self.assertEqual(2.5, open_trades[0].amount)
-        self.assertEqual(5, open_trades[1].amount)
-        self.app.algorithm.check_pending_orders()
-        open_trades = self.app.algorithm.get_open_trades("BTC")
-        self.assertEqual(2.5, open_trades[0].amount)
-        self.assertEqual(5, open_trades[1].amount)
+        trade_one = self.app.algorithm.get_trade(order_id=order_one_id)
+        trade_two = self.app.algorithm.get_trade(order_id=order_two_id)
+        self.assertEqual(5, trade_one.remaining)
+        self.assertEqual(5, trade_two.remaining)
+        self.app.algorithm.order_service.check_pending_orders()
+        trade_one = self.app.algorithm.get_trade(order_id=order_one_id)
+        trade_two = self.app.algorithm.get_trade(order_id=order_two_id)
+        self.assertEqual(2.5, trade_one.remaining)
+        self.assertEqual(5, trade_two.remaining)
         self.assertEqual(2, len(self.app.algorithm.get_open_trades("BTC")))
         self.app.algorithm.create_limit_order(
             target_symbol="BTC",
@@ -180,9 +182,15 @@ def test_get_open_trades_with_close_trades_of_partial_buy_orders(self):
             amount=5
         )
         trades = self.app.algorithm.get_open_trades()
-        self.assertEqual(1, len(trades))
-        self.assertEqual(2.5, trades[0].amount)
-        self.app.algorithm.check_pending_orders()
+        self.assertEqual(2, len(trades))
+        trade_one = self.app.algorithm.get_trade(order_id=order_one_id)
+        trade_two = self.app.algorithm.get_trade(order_id=order_two_id)
+        self.assertEqual(2.5, trade_one.remaining)
+        self.assertEqual(5, trade_two.remaining)
+        self.app.algorithm.order_service.check_pending_orders()
         trades = self.app.algorithm.get_open_trades()
         self.assertEqual(1, len(trades))
-        self.assertEqual(2.5, trades[0].amount)
+        trade_one = self.app.algorithm.get_trade(order_id=order_one_id)
+        trade_two = self.app.algorithm.get_trade(order_id=order_two_id)
+        self.assertEqual(0, trade_one.remaining)
+        self.assertEqual(2.5, trade_two.remaining)
diff --git a/tests/app/algorithm/test_get_order.py b/tests/app/algorithm/test_get_order.py
index 55db9043..2ca7c24e 100644
--- a/tests/app/algorithm/test_get_order.py
+++ b/tests/app/algorithm/test_get_order.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     OrderStatus, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,15 +23,15 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_create_limit_buy_order_with_percentage_of_portfolio(self):
-        self.app.algorithm.create_limit_order(
+        order = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=20
         )
-        order = self.app.algorithm.get_order()
         self.assertEqual(OrderStatus.OPEN.value, order.status)
         self.assertEqual(Decimal(10), order.get_price())
         self.assertEqual(Decimal(20), order.get_amount())
diff --git a/tests/app/algorithm/test_get_pending_orders.py b/tests/app/algorithm/test_get_pending_orders.py
index 559d30a3..ec765d35 100644
--- a/tests/app/algorithm/test_get_pending_orders.py
+++ b/tests/app/algorithm/test_get_pending_orders.py
@@ -1,7 +1,7 @@
 from investing_algorithm_framework import PortfolioConfiguration, Order, \
-    MarketCredential, SYMBOLS
+    MarketCredential
 from investing_algorithm_framework.services import PortfolioService
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class TestPortfolioService(TestBase):
@@ -68,6 +68,7 @@ class TestPortfolioService(TestBase):
     external_balances = {
         "EUR": 700,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_pending_orders(self):
         """
@@ -101,7 +102,7 @@ def test_get_pending_orders(self):
 
         # Check that the portfolio has the correct amount of trades
         trade_service = self.app.container.trade_service()
-        self.assertEqual(1, trade_service.count())
+        self.assertEqual(3, trade_service.count())
         self.assertEqual(
             1, trade_service.count(
                 {"portfolio_id": portfolio.id, "status": "OPEN"}
diff --git a/tests/app/algorithm/test_get_portfolio.py b/tests/app/algorithm/test_get_portfolio.py
index a669d60c..6043646b 100644
--- a/tests/app/algorithm/test_get_portfolio.py
+++ b/tests/app/algorithm/test_get_portfolio.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,6 +23,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_portfolio(self):
         portfolio = self.app.algorithm.get_portfolio()
diff --git a/tests/app/algorithm/test_get_position.py b/tests/app/algorithm/test_get_position.py
index 189c6e2a..ff03272b 100644
--- a/tests/app/algorithm/test_get_position.py
+++ b/tests/app/algorithm/test_get_position.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,6 +23,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_position(self):
         trading_symbol_position = self.app.algorithm.get_position("EUR")
diff --git a/tests/app/algorithm/test_get_trades.py b/tests/app/algorithm/test_get_trades.py
index 2b918430..358b80d3 100644
--- a/tests/app/algorithm/test_get_trades.py
+++ b/tests/app/algorithm/test_get_trades.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     CSVTickerMarketDataSource, MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,6 +23,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def setUp(self) -> None:
         super(Test, self).setUp()
@@ -33,20 +34,19 @@ def setUp(self) -> None:
             csv_file_path=os.path.join(
                 self.resource_directory,
                 "market_data_sources_for_testing",
-                "TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv"
+                "TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
             )
         ))
 
     def test_get_trades(self):
-        self.app.algorithm.create_limit_order(
+        order = self.app.algorithm.create_limit_order(
             target_symbol="BTC",
             price=10,
             order_side="BUY",
             amount=20
         )
-        order = self.app.algorithm.get_order()
         self.assertIsNotNone(order)
-        self.assertEqual(0, len(self.app.algorithm.get_trades()))
+        self.assertEqual(1, len(self.app.algorithm.get_trades()))
         order_service = self.app.container.order_service()
         order_service.check_pending_orders()
         self.assertEqual(1, len(self.app.algorithm.get_trades()))
@@ -55,7 +55,6 @@ def test_get_trades(self):
         self.assertEqual(20, trade.amount)
         self.assertEqual("BTC", trade.target_symbol)
         self.assertEqual("EUR", trade.trading_symbol)
-        self.assertIsNone(trade.closed_price)
         self.assertIsNone(trade.closed_at)
         self.app.algorithm.create_limit_order(
             target_symbol="BTC",
@@ -70,5 +69,4 @@ def test_get_trades(self):
         self.assertEqual(20, trade.amount)
         self.assertEqual("BTC", trade.target_symbol)
         self.assertEqual("EUR", trade.trading_symbol)
-        self.assertIsNotNone(trade.closed_price)
         self.assertIsNotNone(trade.closed_at)
diff --git a/tests/app/algorithm/test_get_unallocated.py b/tests/app/algorithm/test_get_unallocated.py
index 07d4e8a8..cd74279b 100644
--- a/tests/app/algorithm/test_get_unallocated.py
+++ b/tests/app/algorithm/test_get_unallocated.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -23,6 +23,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_create_limit_buy_order_with_percentage_of_portfolio(self):
         portfolio = self.app.algorithm.get_portfolio()
diff --git a/tests/app/algorithm/test_get_unfilled_buy_value.py b/tests/app/algorithm/test_get_unfilled_buy_value.py
index 806745b4..a03fda54 100644
--- a/tests/app/algorithm/test_get_unfilled_buy_value.py
+++ b/tests/app/algorithm/test_get_unfilled_buy_value.py
@@ -1,7 +1,7 @@
 from investing_algorithm_framework import PortfolioConfiguration, Order, \
-    MarketCredential, SYMBOLS
+    MarketCredential
 from investing_algorithm_framework.services import PortfolioService
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -71,6 +71,7 @@ class Test(TestBase):
             secret_key="secret_key"
         )
     ]
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_unfilled_buy_value(self):
         """
@@ -112,7 +113,7 @@ def test_get_unfilled_buy_value(self):
 
         # Check that the portfolio has the correct amount of trades
         trade_service = self.app.container.trade_service()
-        self.assertEqual(1, trade_service.count())
+        self.assertEqual(3, trade_service.count())
         self.assertEqual(
             1, trade_service.count(
                 {"portfolio_id": portfolio.id, "status": "OPEN"}
diff --git a/tests/app/algorithm/test_get_unfilled_sell_value.py b/tests/app/algorithm/test_get_unfilled_sell_value.py
index 96940771..29e4256b 100644
--- a/tests/app/algorithm/test_get_unfilled_sell_value.py
+++ b/tests/app/algorithm/test_get_unfilled_sell_value.py
@@ -1,7 +1,7 @@
 from investing_algorithm_framework import PortfolioConfiguration, Order, \
-    MarketCredential, SYMBOLS
+    MarketCredential
 from investing_algorithm_framework.services import PortfolioService
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -114,6 +114,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_get_unfilled_sell_value(self):
         """
diff --git a/tests/app/algorithm/test_has_open_buy_orders.py b/tests/app/algorithm/test_has_open_buy_orders.py
index dfc236a4..7c7051c5 100644
--- a/tests/app/algorithm/test_has_open_buy_orders.py
+++ b/tests/app/algorithm/test_has_open_buy_orders.py
@@ -2,7 +2,7 @@
 
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -24,6 +24,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_has_open_buy_orders(self):
         trading_symbol_position = self.app.algorithm.get_position("EUR")
diff --git a/tests/app/algorithm/test_has_open_sell_orders.py b/tests/app/algorithm/test_has_open_sell_orders.py
index 196e1059..94429f2f 100644
--- a/tests/app/algorithm/test_has_open_sell_orders.py
+++ b/tests/app/algorithm/test_has_open_sell_orders.py
@@ -1,6 +1,6 @@
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -22,6 +22,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_has_open_sell_orders(self):
         trading_symbol_position = self.app.algorithm.get_position("EUR")
diff --git a/tests/app/algorithm/test_has_position.py b/tests/app/algorithm/test_has_position.py
index 49aa4ead..da00d7a9 100644
--- a/tests/app/algorithm/test_has_position.py
+++ b/tests/app/algorithm/test_has_position.py
@@ -1,6 +1,6 @@
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -22,6 +22,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_has_position(self):
         trading_symbol_position = self.app.algorithm.get_position("EUR")
diff --git a/tests/app/algorithm/test_has_trading_symbol_position_available.py b/tests/app/algorithm/test_has_trading_symbol_position_available.py
index bb732228..dc7397c6 100644
--- a/tests/app/algorithm/test_has_trading_symbol_position_available.py
+++ b/tests/app/algorithm/test_has_trading_symbol_position_available.py
@@ -1,6 +1,6 @@
 from investing_algorithm_framework import PortfolioConfiguration, \
     MarketCredential
-from tests.resources import TestBase
+from tests.resources import TestBase, MarketDataSourceServiceStub
 
 
 class Test(TestBase):
@@ -22,6 +22,7 @@ class Test(TestBase):
     external_balances = {
         "EUR": 1000,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def test_has_trading_symbol_available(self):
         self.assertTrue(
diff --git a/tests/app/algorithm/test_round_down.py b/tests/app/algorithm/test_round_down.py
index 85d3b6da..a862786e 100644
--- a/tests/app/algorithm/test_round_down.py
+++ b/tests/app/algorithm/test_round_down.py
@@ -1,12 +1,10 @@
 import os
+from unittest import TestCase
 
-from investing_algorithm_framework import create_app, RESOURCE_DIRECTORY, \
-    PortfolioConfiguration, Algorithm, MarketCredential
 from investing_algorithm_framework.domain import RoundingService
-from tests.resources import TestBase, MarketServiceStub
 
 
-class Test(TestBase):
+class Test(TestCase):
 
     def count_decimals(self, number):
         decimal_str = str(number)
@@ -15,40 +13,6 @@ def count_decimals(self, number):
         else:
             return 0
 
-    def setUp(self) -> None:
-        self.resource_dir = os.path.abspath(
-            os.path.join(
-                os.path.join(
-                    os.path.join(
-                        os.path.join(
-                            os.path.realpath(__file__),
-                            os.pardir
-                        ),
-                        os.pardir
-                    ),
-                    os.pardir
-                ),
-                "resources"
-            )
-        )
-        self.app = create_app(config={RESOURCE_DIRECTORY: self.resource_dir})
-        self.app.add_portfolio_configuration(
-            PortfolioConfiguration(
-                market="binance",
-                trading_symbol="EUR"
-            )
-        )
-        self.app.container.market_service.override(MarketServiceStub(None))
-        self.app.add_algorithm(Algorithm())
-        self.app.add_market_credential(
-            MarketCredential(
-                market="binance",
-                api_key="api_key",
-                secret_key="secret_key"
-            )
-        )
-        self.app.initialize()
-
     def test_round_down(self):
         new_value = RoundingService.round_down(1, 3)
         self.assertEqual(
diff --git a/tests/app/algorithm/test_run_strategy.py b/tests/app/algorithm/test_run_strategy.py
index 07262d9b..658737c1 100644
--- a/tests/app/algorithm/test_run_strategy.py
+++ b/tests/app/algorithm/test_run_strategy.py
@@ -4,7 +4,8 @@
 from investing_algorithm_framework import create_app, TradingStrategy, \
     TimeUnit, PortfolioConfiguration, RESOURCE_DIRECTORY, \
     Algorithm, MarketCredential
-from tests.resources import random_string, MarketServiceStub
+from tests.resources import random_string, MarketServiceStub, \
+    MarketDataSourceServiceStub
 
 
 class StrategyOne(TradingStrategy):
@@ -41,6 +42,7 @@ class Test(TestCase):
     external_balances = {
         "EUR": 1000,
     }
+    market_data_source_service = MarketDataSourceServiceStub()
 
     def setUp(self) -> None:
         super(Test, self).setUp()
diff --git a/tests/app/algorithm/test_trade_price_update.py b/tests/app/algorithm/test_trade_price_update.py
new file mode 100644
index 00000000..074df5d0
--- /dev/null
+++ b/tests/app/algorithm/test_trade_price_update.py
@@ -0,0 +1,130 @@
+import os
+from datetime import datetime, timezone
+from unittest import TestCase
+
+from investing_algorithm_framework import create_app, TradingStrategy, \
+    TimeUnit, PortfolioConfiguration, RESOURCE_DIRECTORY, \
+    Algorithm, MarketCredential, CSVOHLCVMarketDataSource, \
+    CSVTickerMarketDataSource
+from tests.resources import random_string, MarketServiceStub, \
+    MarketDataSourceServiceStub
+
+
+class StrategyOne(TradingStrategy):
+    time_unit = TimeUnit.SECOND
+    interval = 2
+    market_data_sources = ["BTC/EUR-ohlcv", "BTC/EUR-ticker"]
+
+    def apply_strategy(self, algorithm, market_data):
+        pass
+
+
+class StrategyTwo(TradingStrategy):
+    time_unit = TimeUnit.SECOND
+    interval = 2
+    market_data_sources = ["BTC/EUR-ohlcv", "BTC/EUR-ticker"]
+
+    def apply_strategy(self, algorithm, market_data):
+        pass
+
+
+class Test(TestCase):
+
+    def setUp(self) -> None:
+        self.resource_dir = os.path.abspath(
+            os.path.join(
+                os.path.join(
+                    os.path.join(
+                        os.path.join(
+                            os.path.realpath(__file__),
+                            os.pardir
+                        ),
+                        os.pardir
+                    ),
+                    os.pardir
+                ),
+                "resources"
+            )
+        )
+
+    def tearDown(self) -> None:
+        super().tearDown()
+        # Delete the resources database directory
+
+        database_dir = os.path.join(self.resource_dir, "databases")
+
+        if os.path.exists(database_dir):
+            for root, dirs, files in os.walk(database_dir, topdown=False):
+                for name in files:
+                    os.remove(os.path.join(root, name))
+                for name in dirs:
+                    os.rmdir(os.path.join(root, name))
+
+
+    def test_trade_recent_price_update(self):
+        app = create_app(config={RESOURCE_DIRECTORY: self.resource_dir})
+        app.container.market_service.override(MarketServiceStub(None))
+        app.container.portfolio_configuration_service().clear()
+        app.add_market_data_source(
+            CSVOHLCVMarketDataSource(
+                identifier="BTC/EUR-ohlcv",
+                market="BINANCE",
+                symbol="BTC/EUR",
+                window_size=200,
+                csv_file_path=os.path.join(
+                    self.resource_dir,
+                    "market_data_sources",
+                    "OHLCV_BTC-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
+                )
+            )
+        )
+        app.add_market_data_source(
+            CSVTickerMarketDataSource(
+                identifier="BTC/EUR-ticker",
+                market="BINANCE",
+                symbol="BTC/EUR",
+                csv_file_path=os.path.join(
+                    self.resource_dir,
+                    "market_data_sources",
+                    "TICKER_DOT-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
+                )
+            )
+        )
+        app.add_portfolio_configuration(
+            PortfolioConfiguration(
+                market="BINANCE",
+                trading_symbol="EUR",
+            )
+        )
+        app.add_market_credential(
+            MarketCredential(
+                market="BINANCE",
+                api_key=random_string(10),
+                secret_key=random_string(10)
+            )
+        )
+        algorithm = Algorithm()
+        algorithm.add_strategy(StrategyOne)
+        algorithm.add_strategy(StrategyTwo)
+        app.add_algorithm(algorithm)
+        app.set_config(
+            "DATE_TIME", datetime(2023, 11, 2, 7, 59, tzinfo=timezone.utc)
+        )
+        app.initialize_config()
+        app.initialize()
+        app.algorithm.create_limit_order(
+            target_symbol="btc",
+            amount=20,
+            price=20,
+            order_side="BUY"
+        )
+        app.run(number_of_iterations=1)
+        strategy_orchestration_service = app.algorithm\
+            .strategy_orchestrator_service
+        self.assertTrue(strategy_orchestration_service.has_run("StrategyOne"))
+        self.assertTrue(strategy_orchestration_service.has_run("StrategyTwo"))
+
+        # Check that the last reported price is updated
+        trade = app.algorithm.get_trades()[0]
+        self.assertIsNotNone(trade)
+        self.assertIsNotNone(trade.last_reported_price)
diff --git a/tests/app/backtesting/test_run_backtests.py b/tests/app/backtesting/test_run_backtests.py
index b59ebdd9..41b46d3b 100644
--- a/tests/app/backtesting/test_run_backtests.py
+++ b/tests/app/backtesting/test_run_backtests.py
@@ -76,10 +76,6 @@ def test_run_backtests(self):
             start_date=start_date,
             end_date=end_date
         )
-        app._initialize_app_for_backtest(
-            backtest_date_range=backtest_date_range,
-            pending_order_check_interval='2h',
-        )
         reports = app.run_backtests(
             algorithms=[algorithm_one, algorithm_two, algorithm_three],
             date_ranges=[backtest_date_range]
diff --git a/tests/app/test_add_config.py b/tests/app/test_add_config.py
index 9c3c32a3..4b43b489 100644
--- a/tests/app/test_add_config.py
+++ b/tests/app/test_add_config.py
@@ -1,29 +1,29 @@
-# import os
-# from unittest import TestCase
+import os
+from unittest import TestCase
 
-# from investing_algorithm_framework import create_app, RESOURCE_DIRECTORY
+from investing_algorithm_framework import create_app, RESOURCE_DIRECTORY
 
 
-# class Test(TestCase):
+class Test(TestCase):
 
-#     def setUp(self) -> None:
-#         self.resource_dir = os.path.abspath(
-#             os.path.join(
-#                 os.path.join(
-#                     os.path.join(
-#                         os.path.realpath(__file__),
-#                         os.pardir
-#                     ),
-#                     os.pardir
-#                 ),
-#                 "resources"
-#             )
-#         )
+    def setUp(self) -> None:
+        self.resource_dir = os.path.abspath(
+            os.path.join(
+                os.path.join(
+                    os.path.join(
+                        os.path.realpath(__file__),
+                        os.pardir
+                    ),
+                    os.pardir
+                ),
+                "resources"
+            )
+        )
 
-#     def test_add(self):
-#         app = create_app(
-#             config={"test": "test", RESOURCE_DIRECTORY: self.resource_dir}
-#         )
-#         self.assertIsNotNone(app.config)
-#         self.assertIsNotNone(app.config.get("test"))
-#         self.assertIsNotNone(app.config.get(RESOURCE_DIRECTORY))
+    def test_add(self):
+        app = create_app(
+            config={"test": "test", RESOURCE_DIRECTORY: self.resource_dir}
+        )
+        self.assertIsNotNone(app.config)
+        self.assertIsNotNone(app.config.get("test"))
+        self.assertIsNotNone(app.config.get(RESOURCE_DIRECTORY))
diff --git a/tests/app/test_add_portfolio_configuration.py b/tests/app/test_add_portfolio_configuration.py
index a71c2ab2..d9bb7cbc 100644
--- a/tests/app/test_add_portfolio_configuration.py
+++ b/tests/app/test_add_portfolio_configuration.py
@@ -1,31 +1,31 @@
-# from investing_algorithm_framework import PortfolioConfiguration, \
-#     MarketCredential
-# from tests.resources import TestBase
+from investing_algorithm_framework import PortfolioConfiguration, \
+    MarketCredential
+from tests.resources import TestBase
 
 
-# class Test(TestBase):
-#     portfolio_configurations = [
-#         PortfolioConfiguration(
-#             market="BITVAVO",
-#             trading_symbol="EUR"
-#         )
-#     ]
-#     market_credentials = [
-#         MarketCredential(
-#             market="BITVAVO",
-#             api_key="api_key",
-#             secret_key="secret_key"
-#         )
-#     ]
-#     external_balances = {
-#         "EUR": 1000,
-#     }
+class Test(TestBase):
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="BITVAVO",
+            trading_symbol="EUR"
+        )
+    ]
+    market_credentials = [
+        MarketCredential(
+            market="BITVAVO",
+            api_key="api_key",
+            secret_key="secret_key"
+        )
+    ]
+    external_balances = {
+        "EUR": 1000,
+    }
 
-#     def test_add(self):
-#         self.assertEqual(1, self.app.algorithm.portfolio_service.count())
-#         self.assertEqual(1, self.app.algorithm.position_service.count())
-#         self.assertEqual(1000, self.app.algorithm.get_unallocated())
+    def test_add(self):
+        self.assertEqual(1, self.app.algorithm.portfolio_service.count())
+        self.assertEqual(1, self.app.algorithm.position_service.count())
+        self.assertEqual(1000, self.app.algorithm.get_unallocated())
 
-#         # Make sure that the portfolio is initialized
-#         portfolio = self.app.algorithm.get_portfolio()
-#         self.assertTrue(portfolio.initialized)
+        # Make sure that the portfolio is initialized
+        portfolio = self.app.algorithm.get_portfolio()
+        self.assertTrue(portfolio.initialized)
diff --git a/tests/app/test_app_initialize.py b/tests/app/test_app_initialize.py
index 66b5624f..9316ded2 100644
--- a/tests/app/test_app_initialize.py
+++ b/tests/app/test_app_initialize.py
@@ -1,97 +1,99 @@
-# import os
-# from unittest import TestCase
+import os
+from unittest import TestCase
 
-# from investing_algorithm_framework import create_app, PortfolioConfiguration, \
-#     MarketCredential, Algorithm, AppMode, APP_MODE, RESOURCE_DIRECTORY
-# from investing_algorithm_framework.domain import SQLALCHEMY_DATABASE_URI
-# from tests.resources import MarketServiceStub
+from investing_algorithm_framework import create_app, PortfolioConfiguration, \
+    MarketCredential, Algorithm, AppMode, APP_MODE, RESOURCE_DIRECTORY
+from investing_algorithm_framework.domain import SQLALCHEMY_DATABASE_URI
+from tests.resources import MarketServiceStub
 
 
-# class TestAppInitialize(TestCase):
-#     portfolio_configurations = [
-#         PortfolioConfiguration(
-#             market="BITVAVO",
-#             trading_symbol="EUR"
-#         )
-#     ]
-#     market_credentials = [
-#         MarketCredential(
-#             market="BITVAVO",
-#             api_key="api_key",
-#             secret_key="secret_key"
-#         )
-#     ]
-#     external_balances = {
-#         "EUR": 1000,
-#     }
+class TestAppInitialize(TestCase):
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="BITVAVO",
+            trading_symbol="EUR"
+        )
+    ]
+    market_credentials = [
+        MarketCredential(
+            market="BITVAVO",
+            api_key="api_key",
+            secret_key="secret_key"
+        )
+    ]
+    external_balances = {
+        "EUR": 1000,
+    }
 
-#     def setUp(self) -> None:
-#         self.resource_dir = os.path.abspath(
-#             os.path.join(
-#                 os.path.join(
-#                     os.path.join(
-#                         os.path.realpath(__file__),
-#                         os.pardir
-#                     ),
-#                     os.pardir
-#                 ),
-#                 "resources"
-#             )
-#         )
+    def setUp(self) -> None:
+        self.resource_dir = os.path.abspath(
+            os.path.join(
+                os.path.join(
+                    os.path.join(
+                        os.path.realpath(__file__),
+                        os.pardir
+                    ),
+                    os.pardir
+                ),
+                "resources"
+            )
+        )
 
-#     def test_app_initialize_default(self):
-#         app = create_app(
-#             config={RESOURCE_DIRECTORY: self.resource_dir}
-#         )
-#         app.container.market_service.override(
-#             MarketServiceStub(app.container.market_credential_service())
-#         )
-#         app.add_portfolio_configuration(
-#             PortfolioConfiguration(
-#                 market="BITVAVO",
-#                 trading_symbol="EUR",
-#             )
-#         )
-#         algorithm = Algorithm()
-#         app.add_algorithm(algorithm)
-#         app.add_market_credential(
-#             MarketCredential(
-#                 market="BITVAVO",
-#                 api_key="api_key",
-#                 secret_key="secret_key"
-#             )
-#         )
-#         app.initialize()
-#         self.assertIsNotNone(app.config)
-#         self.assertIsNone(app._flask_app)
-#         self.assertTrue(AppMode.DEFAULT.equals(app.config[APP_MODE]))
-#         order_service = app.container.order_service()
-#         self.assertEqual(0, order_service.count())
+    def test_app_initialize_default(self):
+        app = create_app(
+            config={RESOURCE_DIRECTORY: self.resource_dir}
+        )
+        app.container.market_service.override(
+            MarketServiceStub(app.container.market_credential_service())
+        )
+        app.add_portfolio_configuration(
+            PortfolioConfiguration(
+                market="BITVAVO",
+                trading_symbol="EUR",
+            )
+        )
+        algorithm = Algorithm()
+        app.add_algorithm(algorithm)
+        app.add_market_credential(
+            MarketCredential(
+                market="BITVAVO",
+                api_key="api_key",
+                secret_key="secret_key"
+            )
+        )
+        app.initialize_config()
+        app.initialize()
+        self.assertIsNotNone(app.config)
+        self.assertIsNone(app._flask_app)
+        self.assertTrue(AppMode.DEFAULT.equals(app.config[APP_MODE]))
+        order_service = app.container.order_service()
+        self.assertEqual(0, order_service.count())
 
-#     def test_app_initialize_web(self):
-#         app = create_app(
-#             config={RESOURCE_DIRECTORY: self.resource_dir},
-#             web=True
-#         )
-#         app.container.market_service.override(MarketServiceStub(None))
-#         app.add_portfolio_configuration(
-#             PortfolioConfiguration(
-#                 market="BITVAVO",
-#                 trading_symbol="EUR",
-#             )
-#         )
-#         algorithm = Algorithm()
-#         app.add_algorithm(algorithm)
-#         app.add_market_credential(
-#             MarketCredential(
-#                 market="BITVAVO",
-#                 api_key="api_key",
-#                 secret_key="secret_key"
-#             )
-#         )
-#         app.initialize()
-#         self.assertIsNotNone(app.config)
-#         self.assertIsNotNone(app._flask_app)
-#         self.assertTrue(AppMode.WEB.equals(app.config[APP_MODE]))
-#         order_service = app.container.order_service()
-#         self.assertEqual(0, order_service.count())
+    def test_app_initialize_web(self):
+        app = create_app(
+            config={RESOURCE_DIRECTORY: self.resource_dir},
+            web=True
+        )
+        app.container.market_service.override(MarketServiceStub(None))
+        app.add_portfolio_configuration(
+            PortfolioConfiguration(
+                market="BITVAVO",
+                trading_symbol="EUR",
+            )
+        )
+        algorithm = Algorithm()
+        app.add_algorithm(algorithm)
+        app.add_market_credential(
+            MarketCredential(
+                market="BITVAVO",
+                api_key="api_key",
+                secret_key="secret_key"
+            )
+        )
+        app.initialize_config()
+        app.initialize()
+        self.assertIsNotNone(app.config)
+        self.assertIsNotNone(app._flask_app)
+        self.assertTrue(AppMode.WEB.equals(app.config[APP_MODE]))
+        order_service = app.container.order_service()
+        self.assertEqual(0, order_service.count())
diff --git a/tests/app/test_config.py b/tests/app/test_config.py
index 02e10ae7..249f6dec 100644
--- a/tests/app/test_config.py
+++ b/tests/app/test_config.py
@@ -1,25 +1,104 @@
-# from unittest import TestCase
+import os
 
-# from investing_algorithm_framework import create_app
-# from investing_algorithm_framework.domain import RESOURCE_DIRECTORY
-# from tests.resources import random_string
+from investing_algorithm_framework import create_app, Algorithm, \
+    PortfolioConfiguration, MarketCredential
+from investing_algorithm_framework.domain import RESOURCE_DIRECTORY, \
+    DATABASE_DIRECTORY_NAME, DATABASE_DIRECTORY_PATH, DATABASE_NAME, \
+    ENVIRONMENT, Environment, BacktestDateRange
+from tests.resources import random_string, TestBase
 
-# TEST_VALUE = random_string(10)
+TEST_VALUE = random_string(10)
 
 
-# class TestConfig(TestCase):
-#     ATTRIBUTE_ONE = "ATTRIBUTE_ONE"
 
-#     def test_config(self):
-#         app = create_app(
-#             config={self.ATTRIBUTE_ONE: self.ATTRIBUTE_ONE}
-#         )
-#         app.initialize_config()
-#         self.assertIsNotNone(app.config)
-#         self.assertIsNotNone(app.config[self.ATTRIBUTE_ONE])
+class TestConfig(TestBase):
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="BITVAVO",
+            trading_symbol="EUR"
+        )
+    ]
+    market_credentials = [
+        MarketCredential(
+            market="BITVAVO",
+            api_key="api_key",
+            secret_key="secret_key"
+        )
+    ]
+    external_balances = {
+        "EUR": 1000,
+    }
+    ATTRIBUTE_ONE = "ATTRIBUTE_ONE"
 
-#     def test_resource_directory_exists(self):
-#         app = create_app()
-#         app.initialize_config()
-#         self.assertIsNotNone(app.config)
-#         self.assertIsNotNone(app.config[RESOURCE_DIRECTORY])
+    def test_config(self):
+        self.app.set_config(self.ATTRIBUTE_ONE, TEST_VALUE)
+        self.app.initialize_config()
+        self.assertIsNotNone(self.app.config)
+        self.assertIsNotNone(self.app.config[self.ATTRIBUTE_ONE])
+
+    def test_resource_directory_exists(self):
+        self.app.set_config(self.ATTRIBUTE_ONE, TEST_VALUE)
+        self.app.initialize_config()
+        self.assertIsNotNone(self.app.config)
+        self.assertIsNotNone(self.app.config[RESOURCE_DIRECTORY])
+
+    def test_config_production(self):
+        self.app.set_config(ENVIRONMENT, Environment.PROD.value)
+        self.app.initialize_config()
+        self.app.initialize()
+        self.assertIsNotNone(self.app.config[RESOURCE_DIRECTORY])
+        self.assertIsNotNone(self.app.config[ENVIRONMENT])
+        self.assertEqual(
+            self.app.config[ENVIRONMENT], Environment.PROD.value
+        )
+        self.assertIsNotNone(self.app.config[DATABASE_DIRECTORY_NAME])
+        self.assertEqual(
+            "databases", self.app.config[DATABASE_DIRECTORY_NAME]
+        )
+        self.assertIsNotNone(self.app.config[DATABASE_NAME])
+        self.assertEqual(
+            "prod-database.sqlite3", self.app.config[DATABASE_NAME]
+        )
+        self.assertIsNotNone(self.app.config[DATABASE_DIRECTORY_NAME])
+        database_directory_path = os.path.join(
+            self.app.config[RESOURCE_DIRECTORY],
+            self.app.config[DATABASE_DIRECTORY_NAME]
+        )
+        self.assertEqual(
+            database_directory_path, self.app.config[DATABASE_DIRECTORY_PATH]
+        )
+
+    def test_config_backtest(self):
+        date_range = BacktestDateRange(
+            start_date="2021-01-01",
+            end_date="2021-01-01 00:30:00"
+        )
+
+        @self.app.algorithm.strategy(interval=1, time_unit="SECOND")
+        def test_strategy(algorithm, market_data):
+            pass
+
+        self.app.run_backtest(
+            backtest_date_range=date_range, initial_amount=1000
+        )
+        self.assertIsNotNone(self.app.config[RESOURCE_DIRECTORY])
+        self.assertIsNotNone(self.app.config[ENVIRONMENT])
+        self.assertEqual(
+            self.app.config[ENVIRONMENT], Environment.BACKTEST.value
+        )
+        self.assertIsNotNone(self.app.config[DATABASE_DIRECTORY_NAME])
+        self.assertEqual(
+            "backtest_databases", self.app.config[DATABASE_DIRECTORY_NAME]
+        )
+        self.assertIsNotNone(self.app.config[DATABASE_NAME])
+        self.assertEqual(
+            "backtest-database.sqlite3", self.app.config[DATABASE_NAME]
+        )
+        self.assertIsNotNone(self.app.config[DATABASE_DIRECTORY_NAME])
+        database_directory_path = os.path.join(
+            self.app.config[RESOURCE_DIRECTORY],
+            self.app.config[DATABASE_DIRECTORY_NAME]
+        )
+        self.assertEqual(
+            database_directory_path, self.app.config[DATABASE_DIRECTORY_PATH]
+        )
diff --git a/tests/app/test_start.py b/tests/app/test_start.py
index 5b5bba0e..114e6a59 100644
--- a/tests/app/test_start.py
+++ b/tests/app/test_start.py
@@ -1,95 +1,224 @@
-# import os
-
-# from investing_algorithm_framework import create_app, TradingStrategy, \
-#     TimeUnit, RESOURCE_DIRECTORY, PortfolioConfiguration, Algorithm, \
-#     MarketCredential
-# from tests.resources import TestBase, MarketServiceStub
-
-
-# class StrategyOne(TradingStrategy):
-#     time_unit = TimeUnit.SECOND
-#     interval = 2
-
-#     def apply_strategy(
-#         self,
-#         algorithm,
-#         market_date=None,
-#         **kwargs
-#     ):
-#         pass
-
-
-# class StrategyTwo(TradingStrategy):
-#     time_unit = TimeUnit.SECOND
-#     interval = 2
-
-#     def apply_strategy(
-#         self,
-#         algorithm,
-#         market_date=None,
-#         **kwargs
-#     ):
-#         pass
-
-
-# class Test(TestBase):
-
-#     def setUp(self) -> None:
-#         self.resource_dir = os.path.abspath(
-#             os.path.join(
-#                 os.path.join(
-#                     os.path.join(
-#                         os.path.realpath(__file__),
-#                         os.pardir
-#                     ),
-#                     os.pardir
-#                 ),
-#                 "resources"
-#             )
-#         )
-#         self.app = create_app(config={RESOURCE_DIRECTORY: self.resource_dir})
-#         self.app.add_portfolio_configuration(
-#             PortfolioConfiguration(
-#                 market="BITVAVO",
-#                 trading_symbol="EUR"
-#             )
-#         )
-
-#         self.app.container.market_service.override(MarketServiceStub(None))
-#         algorithm = Algorithm()
-#         algorithm.add_strategy(StrategyOne)
-#         algorithm.add_strategy(StrategyTwo)
-#         self.app.add_algorithm(algorithm)
-#         self.app.add_market_credential(
-#             MarketCredential(
-#                 market="BITVAVO",
-#                 api_key="api_key",
-#                 secret_key="secret_key"
-#             )
-#         )
-
-#     def test_default(self):
-#         self.app.run(number_of_iterations=2)
-#         self.assertFalse(self.app.running)
-#         strategy_orchestrator_service = self.app \
-#             .algorithm.strategy_orchestrator_service
-#         self.assertTrue(strategy_orchestrator_service.has_run("StrategyOne"))
-#         self.assertTrue(strategy_orchestrator_service.has_run("StrategyTwo"))
-
-#     def test_web(self):
-#         self.app.run(number_of_iterations=2)
-#         self.assertFalse(self.app.running)
-#         strategy_orchestrator_service = self.app \
-#             .algorithm.strategy_orchestrator_service
-#         self.assertTrue(strategy_orchestrator_service.has_run("StrategyOne"))
-#         self.assertTrue(strategy_orchestrator_service.has_run("StrategyTwo"))
-
-#     def test_stateless(self):
-#         self.app.run(
-#             number_of_iterations=2,
-#             payload={"ACTION": "RUN_STRATEGY"},
-#         )
-#         strategy_orchestrator_service = self.app\
-#             .algorithm.strategy_orchestrator_service
-#         self.assertTrue(strategy_orchestrator_service.has_run("StrategyOne"))
-#         self.assertTrue(strategy_orchestrator_service.has_run("StrategyTwo"))
+import os
+from unittest import TestCase
+
+from investing_algorithm_framework import create_app, TradingStrategy, \
+    TimeUnit, RESOURCE_DIRECTORY, PortfolioConfiguration, Algorithm, \
+    MarketCredential
+from tests.resources import TestBase, MarketServiceStub
+
+
+class StrategyOne(TradingStrategy):
+    time_unit = TimeUnit.SECOND
+    interval = 2
+    number_of_runs = 0
+
+    def __init__(
+        self,
+        strategy_id=None,
+        time_unit=None,
+        interval=None,
+        market_data_sources=None,
+        worker_id=None,
+        decorated=None
+    ):
+        super().__init__(
+            strategy_id,
+            time_unit,
+            interval,
+            market_data_sources,
+            worker_id,
+            decorated
+        )
+        StrategyOne.number_of_runs = 0
+
+    def apply_strategy(
+        self,
+        algorithm,
+        market_date=None,
+        **kwargs
+    ):
+        StrategyOne.number_of_runs += 1
+
+
+class StrategyTwo(TradingStrategy):
+    time_unit = TimeUnit.SECOND
+    interval = 2
+    number_of_runs = 0
+
+    def __init__(
+        self,
+        strategy_id=None,
+        time_unit=None,
+        interval=None,
+        market_data_sources=None,
+        worker_id=None,
+        decorated=None
+    ):
+        super().__init__(
+            strategy_id,
+            time_unit,
+            interval,
+            market_data_sources,
+            worker_id,
+            decorated
+        )
+        StrategyOne.number_of_runs = 0
+
+    def apply_strategy(
+        self,
+        algorithm,
+        market_date=None,
+        **kwargs
+    ):
+        StrategyTwo.number_of_runs += 1
+
+
+class Test(TestCase):
+
+    def setUp(self) -> None:
+        self.resource_dir = os.path.abspath(
+            os.path.join(
+                os.path.join(
+                    os.path.join(
+                        os.path.realpath(__file__),
+                        os.pardir
+                    ),
+                    os.pardir
+                ),
+                "resources"
+            )
+        )
+
+    def tearDown(self):
+        paths = [
+            os.path.join(
+                self.resource_dir, "databases"
+            ),
+            os.path.join(
+                self.resource_dir, "backtest_databases"
+            )
+        ]
+
+        for path in paths:
+            self._remove_directory(path)
+
+    def _remove_directory(self, path):
+        if os.path.exists(path):
+            for root, dirs, files in os.walk(path, topdown=False):
+                for name in files:
+                    os.remove(os.path.join(root, name))
+                for name in dirs:
+                    os.rmdir(os.path.join(root, name))
+
+    def test_default(self):
+        app = create_app({
+            RESOURCE_DIRECTORY: self.resource_dir
+        })
+        app.add_portfolio_configuration(
+            PortfolioConfiguration(
+                market="BITVAVO",
+                trading_symbol="EUR"
+            )
+        )
+        app.container.market_service.override(MarketServiceStub(None))
+        algorithm = Algorithm()
+        algorithm.add_strategy(StrategyOne)
+        algorithm.add_strategy(StrategyTwo)
+        app.add_algorithm(algorithm)
+        app.add_market_credential(
+            MarketCredential(
+                market="BITVAVO",
+                api_key="api_key",
+                secret_key="secret_key"
+            )
+        )
+        market_service_stub = MarketServiceStub(None)
+        market_service_stub.balances = {
+            "EUR": 1000
+        }
+        app.container.market_service.override(market_service_stub)
+        # while app.running:
+        #     time.sleep(1)
+        app.run(number_of_iterations=2)
+        # self.assertEqual(2, StrategyOne.number_of_runs)
+        # self.assertEqual(2, StrategyTwo.number_of_runs)
+        self.assertFalse(app.running)
+        strategy_orchestrator_service = app \
+            .algorithm.strategy_orchestrator_service
+        self.assertTrue(strategy_orchestrator_service.has_run("StrategyOne"))
+        self.assertTrue(strategy_orchestrator_service.has_run("StrategyTwo"))
+
+    def test_web(self):
+        app = create_app(
+            web=True,
+            config={ RESOURCE_DIRECTORY: self.resource_dir }
+        )
+        app.add_portfolio_configuration(
+            PortfolioConfiguration(
+                market="BITVAVO",
+                trading_symbol="EUR"
+            )
+        )
+        app.container.market_service.override(MarketServiceStub(None))
+        algorithm = Algorithm()
+        algorithm.add_strategy(StrategyOne)
+        algorithm.add_strategy(StrategyTwo)
+        app.add_algorithm(algorithm)
+        app.add_market_credential(
+            MarketCredential(
+                market="BITVAVO",
+                api_key="api_key",
+                secret_key="secret_key"
+            )
+        )
+        market_service_stub = MarketServiceStub(None)
+        market_service_stub.balances = {
+            "EUR": 1000
+        }
+        app.container.market_service.override(market_service_stub)
+        app.run(number_of_iterations=2)
+        # self.assertEqual(2, StrategyOne.number_of_runs)
+        # self.assertEqual(2, StrategyTwo.number_of_runs)
+        self.assertFalse(app.running)
+        strategy_orchestrator_service = app \
+            .algorithm.strategy_orchestrator_service
+        self.assertTrue(strategy_orchestrator_service.has_run("StrategyOne"))
+        self.assertTrue(strategy_orchestrator_service.has_run("StrategyTwo"))
+
+    def test_with_payload(self):
+        app = create_app(
+            config={ RESOURCE_DIRECTORY: self.resource_dir }
+        )
+        app.add_portfolio_configuration(
+            PortfolioConfiguration(
+                market="BITVAVO",
+                trading_symbol="EUR"
+            )
+        )
+        app.container.market_service.override(MarketServiceStub(None))
+        algorithm = Algorithm()
+        algorithm.add_strategy(StrategyOne)
+        algorithm.add_strategy(StrategyTwo)
+        app.add_algorithm(algorithm)
+        app.add_market_credential(
+            MarketCredential(
+                market="BITVAVO",
+                api_key="api_key",
+                secret_key="secret_key"
+            )
+        )
+        market_service_stub = MarketServiceStub(None)
+        market_service_stub.balances = {
+            "EUR": 1000
+        }
+        app.container.market_service.override(market_service_stub)
+        app.run(
+            number_of_iterations=2,
+            payload={"ACTION": "RUN_STRATEGY"},
+        )
+        # self.assertEqual(2, StrategyOne.number_of_runs)
+        # self.assertEqual(2, StrategyTwo.number_of_runs)
+        strategy_orchestrator_service = app\
+            .algorithm.strategy_orchestrator_service
+        self.assertTrue(strategy_orchestrator_service.has_run("StrategyOne"))
+        self.assertTrue(strategy_orchestrator_service.has_run("StrategyTwo"))
diff --git a/tests/app/test_start_with_new_external_orders.py b/tests/app/test_start_with_new_external_orders.py
index 69f98538..32038d03 100644
--- a/tests/app/test_start_with_new_external_orders.py
+++ b/tests/app/test_start_with_new_external_orders.py
@@ -1,132 +1,132 @@
-# from investing_algorithm_framework import Order, PortfolioConfiguration, \
-#     MarketCredential
-# from tests.resources import TestBase
+from investing_algorithm_framework import Order, PortfolioConfiguration, \
+    MarketCredential
+from tests.resources import TestBase
 
 
-# class Test(TestBase):
-#     initial_orders = [
-#       Order.from_dict(
-#             {
-#                 "id": "1323",
-#                 "side": "buy",
-#                 "symbol": "BTC/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#         Order.from_dict(
-#             {
-#                 "id": "14354",
-#                 "side": "buy",
-#                 "symbol": "DOT/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-09-22T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#         Order.from_dict(
-#             {
-#                 "id": "1323",
-#                 "side": "buy",
-#                 "symbol": "ETH/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "OPEN",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 0,
-#                 "remaining": 0,
-#             },
-#         ),
-#     ]
-#     external_orders = [
-#         Order.from_dict(
-#             {
-#                 "id": "1323",
-#                 "side": "buy",
-#                 "symbol": "ETH/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#         # Order that is not tracked by the trading bot
-#         Order.from_dict(
-#             {
-#                 "id": "133423",
-#                 "side": "buy",
-#                 "symbol": "KSM/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#     ]
-#     external_balances = {"EUR": 1000}
-#     portfolio_configurations = [
-#         PortfolioConfiguration(
-#             market="BITVAVO",
-#             trading_symbol="EUR"
-#         )
-#     ]
-#     market_credentials = [
-#         MarketCredential(
-#             market="bitvavo",
-#             api_key="api_key",
-#             secret_key="secret_key"
-#         )
-#     ]
+class Test(TestBase):
+    initial_orders = [
+      Order.from_dict(
+            {
+                "id": "1323",
+                "side": "buy",
+                "symbol": "BTC/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+        Order.from_dict(
+            {
+                "id": "14354",
+                "side": "buy",
+                "symbol": "DOT/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-09-22T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+        Order.from_dict(
+            {
+                "id": "1323",
+                "side": "buy",
+                "symbol": "ETH/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "OPEN",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 0,
+                "remaining": 0,
+            },
+        ),
+    ]
+    external_orders = [
+        Order.from_dict(
+            {
+                "id": "1323",
+                "side": "buy",
+                "symbol": "ETH/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+        # Order that is not tracked by the trading bot
+        Order.from_dict(
+            {
+                "id": "133423",
+                "side": "buy",
+                "symbol": "KSM/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+    ]
+    external_balances = {"EUR": 1000}
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="BITVAVO",
+            trading_symbol="EUR"
+        )
+    ]
+    market_credentials = [
+        MarketCredential(
+            market="bitvavo",
+            api_key="api_key",
+            secret_key="secret_key"
+        )
+    ]
 
-#     def test_start_with_new_external_positions(self):
-#         """
-#         Test how the framework handles new external positions on an broker or
-#         exchange.
+    def test_start_with_new_external_positions(self):
+        """
+        Test how the framework handles new external positions on an broker or
+        exchange.
 
-#         If the positions where not in the database, the algorithm should
-#         not include them, because they could be positions from another
-#         user or from another algorithm.
-#         """
-#         self.assertTrue(self.app.algorithm.has_position("BTC"))
-#         btc_position = self.app.algorithm.get_position("BTC")
-#         self.assertEqual(10, btc_position.get_amount())
-#         self.assertTrue(self.app.algorithm.has_position("DOT"))
-#         dot_position = self.app.algorithm.get_position("DOT")
-#         self.assertEqual(10, dot_position.get_amount())
-#         # Eth position still has open order
-#         self.assertFalse(self.app.algorithm.has_position("ETH"))
-#         eth_position = self.app.algorithm.get_position("ETH")
-#         self.assertEqual(0, eth_position.get_amount())
-#         self.assertFalse(self.app.algorithm.has_position("KSM"))
-#         self.app.run(number_of_iterations=1)
-#         self.assertTrue(self.app.algorithm.has_position("BTC"))
-#         btc_position = self.app.algorithm.get_position("BTC")
-#         self.assertEqual(10, btc_position.get_amount())
-#         self.assertTrue(self.app.algorithm.has_position("DOT"))
-#         dot_position = self.app.algorithm.get_position("DOT")
-#         self.assertEqual(10, dot_position.get_amount())
-#         self.assertTrue(self.app.algorithm.has_position("ETH"))
-#         eth_position = self.app.algorithm.get_position("ETH")
-#         self.assertEqual(10, eth_position.get_amount())
-#         self.assertFalse(self.app.algorithm.has_position("KSM"))
+        If the positions where not in the database, the algorithm should
+        not include them, because they could be positions from another
+        user or from another algorithm.
+        """
+        self.assertTrue(self.app.algorithm.has_position("BTC"))
+        btc_position = self.app.algorithm.get_position("BTC")
+        self.assertEqual(10, btc_position.get_amount())
+        self.assertTrue(self.app.algorithm.has_position("DOT"))
+        dot_position = self.app.algorithm.get_position("DOT")
+        self.assertEqual(10, dot_position.get_amount())
+        # Eth position still has open order
+        self.assertFalse(self.app.algorithm.has_position("ETH"))
+        eth_position = self.app.algorithm.get_position("ETH")
+        self.assertEqual(0, eth_position.get_amount())
+        self.assertFalse(self.app.algorithm.has_position("KSM"))
+        self.app.run(number_of_iterations=1)
+        self.assertTrue(self.app.algorithm.has_position("BTC"))
+        btc_position = self.app.algorithm.get_position("BTC")
+        self.assertEqual(10, btc_position.get_amount())
+        self.assertTrue(self.app.algorithm.has_position("DOT"))
+        dot_position = self.app.algorithm.get_position("DOT")
+        self.assertEqual(10, dot_position.get_amount())
+        self.assertTrue(self.app.algorithm.has_position("ETH"))
+        eth_position = self.app.algorithm.get_position("ETH")
+        self.assertEqual(10, eth_position.get_amount())
+        self.assertFalse(self.app.algorithm.has_position("KSM"))
diff --git a/tests/app/test_start_with_new_external_positions.py b/tests/app/test_start_with_new_external_positions.py
index 69f98538..32038d03 100644
--- a/tests/app/test_start_with_new_external_positions.py
+++ b/tests/app/test_start_with_new_external_positions.py
@@ -1,132 +1,132 @@
-# from investing_algorithm_framework import Order, PortfolioConfiguration, \
-#     MarketCredential
-# from tests.resources import TestBase
+from investing_algorithm_framework import Order, PortfolioConfiguration, \
+    MarketCredential
+from tests.resources import TestBase
 
 
-# class Test(TestBase):
-#     initial_orders = [
-#       Order.from_dict(
-#             {
-#                 "id": "1323",
-#                 "side": "buy",
-#                 "symbol": "BTC/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#         Order.from_dict(
-#             {
-#                 "id": "14354",
-#                 "side": "buy",
-#                 "symbol": "DOT/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-09-22T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#         Order.from_dict(
-#             {
-#                 "id": "1323",
-#                 "side": "buy",
-#                 "symbol": "ETH/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "OPEN",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 0,
-#                 "remaining": 0,
-#             },
-#         ),
-#     ]
-#     external_orders = [
-#         Order.from_dict(
-#             {
-#                 "id": "1323",
-#                 "side": "buy",
-#                 "symbol": "ETH/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#         # Order that is not tracked by the trading bot
-#         Order.from_dict(
-#             {
-#                 "id": "133423",
-#                 "side": "buy",
-#                 "symbol": "KSM/EUR",
-#                 "amount": 10,
-#                 "price": 10.0,
-#                 "status": "CLOSED",
-#                 "order_type": "limit",
-#                 "order_side": "buy",
-#                 "created_at": "2023-08-08T14:40:56.626362Z",
-#                 "filled": 10,
-#                 "remaining": 0,
-#             },
-#         ),
-#     ]
-#     external_balances = {"EUR": 1000}
-#     portfolio_configurations = [
-#         PortfolioConfiguration(
-#             market="BITVAVO",
-#             trading_symbol="EUR"
-#         )
-#     ]
-#     market_credentials = [
-#         MarketCredential(
-#             market="bitvavo",
-#             api_key="api_key",
-#             secret_key="secret_key"
-#         )
-#     ]
+class Test(TestBase):
+    initial_orders = [
+      Order.from_dict(
+            {
+                "id": "1323",
+                "side": "buy",
+                "symbol": "BTC/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+        Order.from_dict(
+            {
+                "id": "14354",
+                "side": "buy",
+                "symbol": "DOT/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-09-22T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+        Order.from_dict(
+            {
+                "id": "1323",
+                "side": "buy",
+                "symbol": "ETH/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "OPEN",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 0,
+                "remaining": 0,
+            },
+        ),
+    ]
+    external_orders = [
+        Order.from_dict(
+            {
+                "id": "1323",
+                "side": "buy",
+                "symbol": "ETH/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+        # Order that is not tracked by the trading bot
+        Order.from_dict(
+            {
+                "id": "133423",
+                "side": "buy",
+                "symbol": "KSM/EUR",
+                "amount": 10,
+                "price": 10.0,
+                "status": "CLOSED",
+                "order_type": "limit",
+                "order_side": "buy",
+                "created_at": "2023-08-08T14:40:56.626362Z",
+                "filled": 10,
+                "remaining": 0,
+            },
+        ),
+    ]
+    external_balances = {"EUR": 1000}
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="BITVAVO",
+            trading_symbol="EUR"
+        )
+    ]
+    market_credentials = [
+        MarketCredential(
+            market="bitvavo",
+            api_key="api_key",
+            secret_key="secret_key"
+        )
+    ]
 
-#     def test_start_with_new_external_positions(self):
-#         """
-#         Test how the framework handles new external positions on an broker or
-#         exchange.
+    def test_start_with_new_external_positions(self):
+        """
+        Test how the framework handles new external positions on an broker or
+        exchange.
 
-#         If the positions where not in the database, the algorithm should
-#         not include them, because they could be positions from another
-#         user or from another algorithm.
-#         """
-#         self.assertTrue(self.app.algorithm.has_position("BTC"))
-#         btc_position = self.app.algorithm.get_position("BTC")
-#         self.assertEqual(10, btc_position.get_amount())
-#         self.assertTrue(self.app.algorithm.has_position("DOT"))
-#         dot_position = self.app.algorithm.get_position("DOT")
-#         self.assertEqual(10, dot_position.get_amount())
-#         # Eth position still has open order
-#         self.assertFalse(self.app.algorithm.has_position("ETH"))
-#         eth_position = self.app.algorithm.get_position("ETH")
-#         self.assertEqual(0, eth_position.get_amount())
-#         self.assertFalse(self.app.algorithm.has_position("KSM"))
-#         self.app.run(number_of_iterations=1)
-#         self.assertTrue(self.app.algorithm.has_position("BTC"))
-#         btc_position = self.app.algorithm.get_position("BTC")
-#         self.assertEqual(10, btc_position.get_amount())
-#         self.assertTrue(self.app.algorithm.has_position("DOT"))
-#         dot_position = self.app.algorithm.get_position("DOT")
-#         self.assertEqual(10, dot_position.get_amount())
-#         self.assertTrue(self.app.algorithm.has_position("ETH"))
-#         eth_position = self.app.algorithm.get_position("ETH")
-#         self.assertEqual(10, eth_position.get_amount())
-#         self.assertFalse(self.app.algorithm.has_position("KSM"))
+        If the positions where not in the database, the algorithm should
+        not include them, because they could be positions from another
+        user or from another algorithm.
+        """
+        self.assertTrue(self.app.algorithm.has_position("BTC"))
+        btc_position = self.app.algorithm.get_position("BTC")
+        self.assertEqual(10, btc_position.get_amount())
+        self.assertTrue(self.app.algorithm.has_position("DOT"))
+        dot_position = self.app.algorithm.get_position("DOT")
+        self.assertEqual(10, dot_position.get_amount())
+        # Eth position still has open order
+        self.assertFalse(self.app.algorithm.has_position("ETH"))
+        eth_position = self.app.algorithm.get_position("ETH")
+        self.assertEqual(0, eth_position.get_amount())
+        self.assertFalse(self.app.algorithm.has_position("KSM"))
+        self.app.run(number_of_iterations=1)
+        self.assertTrue(self.app.algorithm.has_position("BTC"))
+        btc_position = self.app.algorithm.get_position("BTC")
+        self.assertEqual(10, btc_position.get_amount())
+        self.assertTrue(self.app.algorithm.has_position("DOT"))
+        dot_position = self.app.algorithm.get_position("DOT")
+        self.assertEqual(10, dot_position.get_amount())
+        self.assertTrue(self.app.algorithm.has_position("ETH"))
+        eth_position = self.app.algorithm.get_position("ETH")
+        self.assertEqual(10, eth_position.get_amount())
+        self.assertFalse(self.app.algorithm.has_position("KSM"))
diff --git a/tests/domain/models/test_backtest_report.py b/tests/domain/models/test_backtest_report.py
index 2bf01f4d..ac380ecb 100644
--- a/tests/domain/models/test_backtest_report.py
+++ b/tests/domain/models/test_backtest_report.py
@@ -27,9 +27,9 @@ def test_backtest_reports_evaluation(self):
         path = os.path.join(
             self.resource_dir,
             "backtest_reports_for_testing",
-            "report_950100_backtest-start-date_2021-12-21:00:00_"
-            "backtest-end-date_2022-06-20:00:00"
-            "_created-at_2024-04-25:13:52.json"
+            "report_950100_backtest-start-date_2021-12-21-00-00_"
+            "backtest-end-date_2022-06-20-00-00"
+            "_created-at_2024-04-25-13-52.json"
         )
         report = load_backtest_report(path)
         self.assertEqual(
diff --git a/tests/domain/models/test_order.py b/tests/domain/models/test_order.py
index 3ee43511..ed6053d3 100644
--- a/tests/domain/models/test_order.py
+++ b/tests/domain/models/test_order.py
@@ -34,7 +34,6 @@ def test_from_ccxt_order(self):
         self.assertEqual(order.get_order_type(), "LIMIT")
         self.assertEqual(order.get_price(), 10000)
         self.assertEqual(order.get_amount(), 1)
-        self.assertEqual(order.get_cost(), 10000)
         self.assertEqual(order.get_filled(), 1)
         self.assertEqual(order.get_remaining(), 0)
         self.assertEqual(order.get_status(), "OPEN")
diff --git a/tests/domain/models/test_trade.py b/tests/domain/models/test_trade.py
index 31a152a2..802c7bec 100644
--- a/tests/domain/models/test_trade.py
+++ b/tests/domain/models/test_trade.py
@@ -2,187 +2,202 @@
 from datetime import datetime, timedelta
 from unittest import TestCase
 
-from dateutil.tz import tzutc
 
-from investing_algorithm_framework import CSVOHLCVMarketDataSource, \
-    CSVTickerMarketDataSource
+
+from investing_algorithm_framework import Order
 from investing_algorithm_framework.domain import Trade
 
 
 class Test(TestCase):
 
     def test_trade(self):
-        trade_opened_at = datetime(2023, 11, 29)
-        trade = Trade(
-            buy_order_id=1,
+        order = Order(
+            external_id="123",
             target_symbol="BTC",
             trading_symbol="EUR",
+            order_side="BUY",
+            order_type="LIMIT",
+            price=10000,
             amount=1,
-            open_price=19822.0,
-            opened_at=trade_opened_at,
-            closed_price=None,
-            closed_at=None,
+            filled=1,
+            remaining=0,
+            status="OPEN",
+            created_at=datetime(2017, 8, 17, 12, 42, 48),
         )
-        self.assertEqual(trade.target_symbol, "BTC")
-        self.assertEqual(trade.trading_symbol, "EUR")
-        self.assertEqual(trade.amount, 1)
-        self.assertEqual(trade.open_price, 19822.0)
-        self.assertEqual(trade.opened_at, trade_opened_at)
 
-    def test_stop_loss_manual_with_dataframe(self):
-        """
-        Test for checking if stoplos function works on trade. The test uses
-        an ohlcv dataset of BTC/EUR with a 15m timeframe. The start date
-        of the dataset is 2023-08-07 08:00:00+00:00 and the end
-        date of the dataset is 2023-12-02 00:00:00+00:00. The trade is
-        opened at 2023-08-17 12:00:00 with a price of 32589.
-        """
-        current_datetime = datetime(2023, 8, 26, 00, 00, 0, tzinfo=tzutc())
-        resource_dir = os.path.abspath(
-            os.path.join(
-                os.path.join(
-                    os.path.join(
-                        os.path.join(
-                            os.path.realpath(__file__),
-                            os.pardir
-                        ),
-                        os.pardir
-                    ),
-                    os.pardir
-                ),
-                "resources"
-            )
-        )
-        csv_ohlcv_market_data_source = CSVOHLCVMarketDataSource(
-            identifier="BTC",
-            market="BITVAVO",
-            symbol="BTC/EUR",
-            time_frame="15m",
-            csv_file_path=f"{resource_dir}/"
-                          "market_data_sources_for_testing/"
-                          "OHLCV_BTC-EUR_BINANCE_2h_2023-08-07:07"
-                          ":59_2023-12-02:00:00.csv"
-        )
-        csv_ticker_market_data_source = CSVTickerMarketDataSource(
-            identifier="BTC",
-            market="BITVAVO",
-            symbol="BTC/EUR",
-            csv_file_path=f"{resource_dir}"
-                          "/market_data_sources_for_testing/"
-                          "TICKER_BTC-EUR_BINANCE_2023-08"
-                          "-23:22:00_2023-12-02:00:00.csv"
-        )
-        trade_opened_at = datetime(2023, 8, 24, 22, 0, 0, tzinfo=tzutc())
-        open_price = 24167.14
+        trade_opened_at = datetime(2023, 11, 29)
         trade = Trade(
-            buy_order_id=1,
+            id=1,
+            orders=[order],
             target_symbol="BTC",
             trading_symbol="EUR",
             amount=1,
-            open_price=open_price,
+            remaining=1,
+            open_price=10000,
             opened_at=trade_opened_at,
-            closed_price=None,
             closed_at=None,
+            status="OPEN",
+            cost=10000,
         )
-        end_date = trade_opened_at + timedelta(days=2)
-        ohlcv_data = csv_ohlcv_market_data_source \
-            .get_data(
-                market_credential_service=None,
-                start_date=trade_opened_at,
-                end_date=end_date
-            )
-        current_price = csv_ticker_market_data_source \
-            .get_data(
-                start_date=end_date, market_credential_service=None
-            )
-        self.assertFalse(
-            trade.is_manual_stop_loss_trigger(
-                current_price=current_price["bid"],
-                ohlcv_df=ohlcv_data,
-                stop_loss_percentage=2
-            )
-        )
+        self.assertEqual(trade.target_symbol, "BTC")
+        self.assertEqual(trade.trading_symbol, "EUR")
+        self.assertEqual(trade.amount, 1)
+        self.assertEqual(trade.open_price, 10000)
 
-        current_datetime = datetime(2023, 11, 21, tzinfo=tzutc())
-        ohlcv_data = csv_ohlcv_market_data_source \
-            .get_data(
-                market_credential_service=None,
-                from_time_stamp=trade_opened_at,
-                to_time_stamp=current_datetime
-            )
-        current_price = csv_ticker_market_data_source \
-            .get_data(
-                index_datetime=current_datetime, market_credential_service=None
-            )
-        open_price = 35679.63
-        trade = Trade(
-            buy_order_id=1,
-            target_symbol="BTC",
-            trading_symbol="EUR",
-            amount=1,
-            open_price=open_price,
-            opened_at=trade_opened_at,
-            closed_price=None,
-            closed_at=None,
-        )
-        self.assertFalse(
-            trade.is_manual_stop_loss_trigger(
-                current_price=current_price["bid"],
-                ohlcv_df=ohlcv_data,
-                stop_loss_percentage=10
-            )
-        )
-        self.assertTrue(
-            trade.is_manual_stop_loss_trigger(
-                current_price=current_price["bid"],
-                ohlcv_df=ohlcv_data,
-                stop_loss_percentage=2
-            )
-        )
+    # def test_stop_loss_manual_with_dataframe(self):
+    #     """
+    #     Test for checking if stoplos function works on trade. The test uses
+    #     an ohlcv dataset of BTC/EUR with a 15m timeframe. The start date
+    #     of the dataset is 2023-08-07 08:00:00+00:00 and the end
+    #     date of the dataset is 2023-12-02 00:00:00+00:00. The trade is
+    #     opened at 2023-08-17 12:00:00 with a price of 32589.
+    #     """
+    #     current_datetime = datetime(2023, 8, 26, 00, 00, 0, tzinfo=tzutc())
+    #     resource_dir = os.path.abspath(
+    #         os.path.join(
+    #             os.path.join(
+    #                 os.path.join(
+    #                     os.path.join(
+    #                         os.path.realpath(__file__),
+    #                         os.pardir
+    #                     ),
+    #                     os.pardir
+    #                 ),
+    #                 os.pardir
+    #             ),
+    #             "resources"
+    #         )
+    #     )
+    #     csv_ohlcv_market_data_source = CSVOHLCVMarketDataSource(
+    #         identifier="BTC",
+    #         market="BITVAVO",
+    #         symbol="BTC/EUR",
+    #         time_frame="15m",
+    #         csv_file_path=f"{resource_dir}/"
+    #                       "market_data_sources_for_testing/"
+    #                       "OHLCV_BTC-EUR_BINANCE_2h_2023-08-07:07"
+    #                       ":59_2023-12-02:00:00.csv"
+    #     )
+    #     csv_ticker_market_data_source = CSVTickerMarketDataSource(
+    #         identifier="BTC",
+    #         market="BITVAVO",
+    #         symbol="BTC/EUR",
+    #         csv_file_path=f"{resource_dir}"
+    #                       "/market_data_sources_for_testing/"
+    #                       "TICKER_BTC-EUR_BINANCE_2023-08"
+    #                       "-23:22:00_2023-12-02:00:00.csv"
+    #     )
+    #     trade_opened_at = datetime(2023, 8, 24, 22, 0, 0, tzinfo=tzutc())
+    #     open_price = 24167.14
+    #     trade = Trade(
+    #         buy_order_id=1,
+    #         target_symbol="BTC",
+    #         trading_symbol="EUR",
+    #         amount=1,
+    #         open_price=open_price,
+    #         opened_at=trade_opened_at,
+    #         closed_price=None,
+    #         closed_at=None,
+    #     )
+    #     end_date = trade_opened_at + timedelta(days=2)
+    #     ohlcv_data = csv_ohlcv_market_data_source \
+    #         .get_data(
+    #             market_credential_service=None,
+    #             start_date=trade_opened_at,
+    #             end_date=end_date
+    #         )
+    #     current_price = csv_ticker_market_data_source \
+    #         .get_data(
+    #             start_date=end_date, market_credential_service=None
+    #         )
+    #     self.assertFalse(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=current_price["bid"],
+    #             ohlcv_df=ohlcv_data,
+    #             stop_loss_percentage=2
+    #         )
+    #     )
 
-    def test_stop_loss_manual_trade(self):
-        trade = Trade(
-            buy_order_id=1,
-            target_symbol='BTC',
-            trading_symbol='USDT',
-            amount=10,
-            open_price=100,
-            opened_at=datetime(2021, 1, 1),
-        )
-        self.assertTrue(trade.is_manual_stop_loss_trigger(
-            current_price=101, prices=[100, 110, 80], stop_loss_percentage=2
-        ))
-        self.assertFalse(trade.is_manual_stop_loss_trigger(
-            current_price=101, prices=[100, 110, 80], stop_loss_percentage=20
-        ))
+    #     current_datetime = datetime(2023, 11, 21, tzinfo=tzutc())
+    #     ohlcv_data = csv_ohlcv_market_data_source \
+    #         .get_data(
+    #             market_credential_service=None,
+    #             from_time_stamp=trade_opened_at,
+    #             to_time_stamp=current_datetime
+    #         )
+    #     current_price = csv_ticker_market_data_source \
+    #         .get_data(
+    #             index_datetime=current_datetime, market_credential_service=None
+    #         )
+    #     open_price = 35679.63
+    #     trade = Trade(
+    #         buy_order_id=1,
+    #         target_symbol="BTC",
+    #         trading_symbol="EUR",
+    #         amount=1,
+    #         open_price=open_price,
+    #         opened_at=trade_opened_at,
+    #         closed_price=None,
+    #         closed_at=None,
+    #     )
+    #     self.assertFalse(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=current_price["bid"],
+    #             ohlcv_df=ohlcv_data,
+    #             stop_loss_percentage=10
+    #         )
+    #     )
+    #     self.assertTrue(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=current_price["bid"],
+    #             ohlcv_df=ohlcv_data,
+    #             stop_loss_percentage=2
+    #         )
+    #     )
 
-        # Test if the stop loss is triggered when the price
-        # is lower than the open price
-        self.assertTrue(
-            trade.is_manual_stop_loss_trigger(
-                current_price=80,
-                prices=[100, 110, 80],
-                stop_loss_percentage=2
-            )
-        )
-        self.assertFalse(
-            trade.is_manual_stop_loss_trigger(
-                current_price=99,
-                prices=[100, 110, 80],
-                stop_loss_percentage=2
-            )
-        )
-        self.assertFalse(
-            trade.is_manual_stop_loss_trigger(
-                current_price=90,
-                prices=[100, 110, 80],
-                stop_loss_percentage=20
-            )
-        )
-        self.assertTrue(
-            trade.is_manual_stop_loss_trigger(
-                current_price=80,
-                prices=[100, 110, 80],
-                stop_loss_percentage=20
-            )
-        )
+    # def test_stop_loss_manual_trade(self):
+    #     trade = Trade(
+    #         buy_order_id=1,
+    #         target_symbol='BTC',
+    #         trading_symbol='USDT',
+    #         amount=10,
+    #         open_price=100,
+    #         opened_at=datetime(2021, 1, 1),
+    #     )
+    #     self.assertTrue(trade.is_manual_stop_loss_trigger(
+    #         current_price=101, prices=[100, 110, 80], stop_loss_percentage=2
+    #     ))
+    #     self.assertFalse(trade.is_manual_stop_loss_trigger(
+    #         current_price=101, prices=[100, 110, 80], stop_loss_percentage=20
+    #     ))
+
+    #     # Test if the stop loss is triggered when the price
+    #     # is lower than the open price
+    #     self.assertTrue(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=80,
+    #             prices=[100, 110, 80],
+    #             stop_loss_percentage=2
+    #         )
+    #     )
+    #     self.assertFalse(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=99,
+    #             prices=[100, 110, 80],
+    #             stop_loss_percentage=2
+    #         )
+    #     )
+    #     self.assertFalse(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=90,
+    #             prices=[100, 110, 80],
+    #             stop_loss_percentage=20
+    #         )
+    #     )
+    #     self.assertTrue(
+    #         trade.is_manual_stop_loss_trigger(
+    #             current_price=80,
+    #             prices=[100, 110, 80],
+    #             stop_loss_percentage=20
+    #         )
+    #     )
diff --git a/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_backtest_market_data_source.py b/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_backtest_market_data_source.py
index 88ef6ddc..7881e539 100644
--- a/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_backtest_market_data_source.py
+++ b/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_backtest_market_data_source.py
@@ -44,7 +44,7 @@ def test_file_path(self):
         and the end date is the backtest end date.
         """
         correct_file_name = \
-            "OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv"
+            "OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv"
         data_source = CCXTOHLCVBacktestMarketDataSource(
             identifier="OHLCV_BTC_EUR_BINANCE_15m",
             market="BINANCE",
@@ -66,7 +66,7 @@ def test_file_path(self):
 
     def test_window_size(self):
         correct_file_name = \
-            "OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv"
+            "OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv"
         data_source = CCXTOHLCVBacktestMarketDataSource(
             identifier="OHLCV_BTC_EUR_BINANCE_15m",
             market="BINANCE",
@@ -87,7 +87,7 @@ def test_window_size(self):
 
     def test_right_columns(self):
         correct_file_name = \
-            "OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv"
+            "OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv"
         csv_file_path = f"{self.resource_dir}/market_data_sources_for_testing"\
                         f"/{correct_file_name}"
         data_source = CCXTOHLCVBacktestMarketDataSource(
@@ -110,9 +110,10 @@ def test_right_columns(self):
         self.assertEqual(csv_file_path, data_source._create_file_path())
         df = data_source\
             .get_data(
-                start_date=datetime(
+                date=datetime(
                     year=2023, month=12, day=17, hour=0, minute=0
-                )
+                ),
+                config={}
             )
         self.assertEqual(
             ["Datetime", "Open", "High", "Low", "Close", "Volume"], df.columns
diff --git a/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_market_data_source.py b/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_market_data_source.py
index 87fa4af5..942158dd 100644
--- a/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_market_data_source.py
+++ b/tests/infrastructure/market_data_sources/test_ccxt_ohlcv_market_data_source.py
@@ -80,46 +80,34 @@ def test_get_data_with_only_window_size(self, mock):
         self.assertEqual(data_source.window_size, 200)
 
     @mock.patch('investing_algorithm_framework.infrastructure.services.market_service.ccxt_market_service.CCXTMarketService.get_ohlcv')
-    def test_get_data_with_only_start_date_and_end_date(self, mock):
+    def test_get_data_with_only_start_date(self, mock):
         data_source = CCXTOHLCVMarketDataSource(
             identifier="BTC/EUR",
             time_frame="15m",
             market="BITVAVO",
             symbol="BTC/EUR",
+            window_size=200
         )
         mock.return_value = {'key': 'value'}
         data = data_source.get_data(
-            start_date=datetime(2021, 1, 1),
-            end_date=datetime(2021, 1, 2)
+            start_date=datetime(2021, 1, 1)
         )
         self.assertIsNotNone(data)
 
     @mock.patch('investing_algorithm_framework.infrastructure.services.market_service.ccxt_market_service.CCXTMarketService.get_ohlcv')
-    def test_get_data_with_only_start_date_and_window_size(self, mock):
+    def test_get_data_with_only_date_and_end_date(self, mock):
         data_source = CCXTOHLCVMarketDataSource(
             identifier="BTC/EUR",
             time_frame="15m",
             market="BITVAVO",
             symbol="BTC/EUR",
-        )
-        mock.return_value = {'key': 'value'}
-        data = data_source.get_data(
-            start_date=datetime(2021, 1, 1),
             window_size=200
         )
-        self.assertIsNotNone(data)
-
-    @mock.patch('investing_algorithm_framework.infrastructure.services.market_service.ccxt_market_service.CCXTMarketService.get_ohlcv')
-    def test_get_data_with_only_end_date_and_window_size(self, mock):
-        data_source = CCXTOHLCVMarketDataSource(
-            identifier="BTC/EUR",
-            time_frame="15m",
-            market="BITVAVO",
-            symbol="BTC/EUR",
-        )
         mock.return_value = {'key': 'value'}
+        start_date = datetime(2021, 1, 1)
+        end_date = datetime(2021, 1, 2)
         data = data_source.get_data(
-            start_date=datetime(2021, 1, 1),
-            window_size=200
+            start_date=start_date,
+            end_date=end_date
         )
         self.assertIsNotNone(data)
diff --git a/tests/infrastructure/market_data_sources/test_csv_ohlcv_market_data_source.py b/tests/infrastructure/market_data_sources/test_csv_ohlcv_market_data_source.py
index b114f1b0..16c1542a 100644
--- a/tests/infrastructure/market_data_sources/test_csv_ohlcv_market_data_source.py
+++ b/tests/infrastructure/market_data_sources/test_csv_ohlcv_market_data_source.py
@@ -7,7 +7,7 @@
 from polars import DataFrame
 
 from investing_algorithm_framework.domain import OperationalException, \
-    TimeFrame, DATETIME_FORMAT
+    DATETIME_FORMAT
 from investing_algorithm_framework.infrastructure import \
     CSVOHLCVMarketDataSource
 
@@ -36,38 +36,39 @@ def setUp(self) -> None:
 
     def test_right_columns(self):
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         data_source = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/market_data_sources/"
                           f"{file_name}",
+            window_size=10,
         )
-        df = data_source.get_data()
+        date = datetime(2023, 8, 7, 8, 0, tzinfo=tzutc())
+        df = data_source.get_data(start_date=date)
         self.assertEqual(
             ["Datetime", "Open", "High", "Low", "Close", "Volume"], df.columns
         )
 
     def test_throw_exception_when_missing_column_names_columns(self):
         file_name = "OHLCV_BTC-EUR_BINANCE_2h_NO_COLUMNS_2023-" \
-                    "08-07:07:59_2023-12-02:00:00.csv"
+                    "08-07-07-59_2023-12-02-00-00.csv"
 
         with self.assertRaises(OperationalException):
             CSVOHLCVMarketDataSource(
                 csv_file_path=f"{self.resource_dir}/"
                               "market_data_sources_for_testing/"
                               f"{file_name}",
-                window_size=10
+                window_size=10,
             )
 
     def test_start_date(self):
         start_date = datetime(2023, 8, 7, 8, 0, tzinfo=tzutc())
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         csv_ohlcv_market_data_source = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
                           f"{file_name}",
             window_size=10,
-            time_frame=TimeFrame.TWO_HOUR,
         )
         self.assertEqual(
             start_date,
@@ -80,15 +81,16 @@ def test_start_date_with_window_size(self):
             year=2023, month=8, day=7, hour=10, minute=0, tzinfo=tzutc()
         )
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         csv_ohlcv_market_data_source = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
                           f"{file_name}",
             window_size=12,
-            time_frame=TimeFrame.TWO_HOUR,
         )
-        data = csv_ohlcv_market_data_source.get_data(start_date=start_date)
+        data = csv_ohlcv_market_data_source.get_data(
+            start_date=start_date
+        )
         self.assertEqual(12, len(data))
         first_date = parser.parse(data["Datetime"][0])
         self.assertEqual(
@@ -99,7 +101,7 @@ def test_start_date_with_window_size(self):
     def test_end_date(self):
         end_date = datetime(2023, 12, 2, 0, 0, tzinfo=tzutc())
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         csv_ohlcv_market_data_source = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
@@ -113,33 +115,30 @@ def test_end_date(self):
 
     def test_empty(self):
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         data_source = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
                           f"{file_name}",
             window_size=10,
-            time_frame="2h",
         )
-        start_date = datetime(2023, 8, 7, 8, 0, tzinfo=tzutc())
-        end_date = datetime(2023, 12, 2, 0, 0, tzinfo=tzutc())
-        self.assertFalse(data_source.empty(start_date, end_date))
+        start_date = datetime(2023, 12, 2, 0, 0, tzinfo=tzutc())
+        self.assertFalse(data_source.empty(start_date))
 
     def test_get_data(self):
         file_name = \
-            "OHLCV_BTC-EUR_BITVAVO_2h_2023-07-21:14:00_2024-06-07:10:00.csv"
+            "OHLCV_BTC-EUR_BITVAVO_2h_2023-07-21-14-00_2024-06-07-10-00.csv"
         datasource = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources_for_testing/"
                           f"{file_name}",
             window_size=200,
-            time_frame="2h",
         )
         number_of_runs = 0
         backtest_index_date = datasource._start_date_data_source
 
-        while not datasource.empty(start_date=backtest_index_date):
-            data = datasource.get_data(start_date=backtest_index_date)
+        while not datasource.empty(end_date=backtest_index_date):
+            data = datasource.get_data(end_date=backtest_index_date)
             backtest_index_date = \
                 backtest_index_date + timedelta(hours=2 * 200)
             self.assertTrue(len(data) > 0)
@@ -150,50 +149,35 @@ def test_get_data(self):
 
     def test_get_identifier(self):
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         datasource = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
                           f"{file_name}",
             identifier="test",
             window_size=10,
-            time_frame="2h",
         )
         self.assertEqual("test", datasource.get_identifier())
 
     def test_get_market(self):
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         datasource = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
                           f"{file_name}",
             market="test",
-            time_frame="2h",
         )
         self.assertEqual("test", datasource.get_market())
 
     def test_get_symbol(self):
         file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
+                    "_2h_2023-08-07-07-59_2023-12-02-00-00.csv"
         datasource = CSVOHLCVMarketDataSource(
             csv_file_path=f"{self.resource_dir}/"
                           "market_data_sources/"
                           f"{file_name}",
             symbol="BTC/EUR",
             window_size=10,
-            time_frame="2h",
         )
         self.assertEqual("BTC/EUR", datasource.get_symbol())
-
-    def test_get_timeframe(self):
-        file_name = "OHLCV_BTC-EUR_BINANCE" \
-                    "_2h_2023-08-07:07:59_2023-12-02:00:00.csv"
-        datasource = CSVOHLCVMarketDataSource(
-            csv_file_path=f"{self.resource_dir}/"
-                          "market_data_sources/"
-                          f"{file_name}",
-            time_frame="2h",
-            window_size=10,
-        )
-        self.assertTrue(TimeFrame.TWO_HOUR.equals(datasource.get_time_frame()))
diff --git a/tests/infrastructure/repositories/test_trade_repository.py b/tests/infrastructure/repositories/test_trade_repository.py
new file mode 100644
index 00000000..03a2ec5f
--- /dev/null
+++ b/tests/infrastructure/repositories/test_trade_repository.py
@@ -0,0 +1,49 @@
+from investing_algorithm_framework import PortfolioConfiguration, \
+    MarketCredential, TradeStatus
+from tests.resources import TestBase
+
+
+class Test(TestBase):
+    market_credentials = [
+        MarketCredential(
+            market="BINANCE",
+            api_key="api_key",
+            secret_key="secret_key"
+        )
+    ]
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="BINANCE",
+            trading_symbol="EUR"
+        )
+    ]
+    external_balances = {
+        "EUR": 1000,
+    }
+
+    def test_get_all_with_status(self):
+        order_service = self.app.container.order_service()
+        trade_service = self.app.container.trade_service()
+        order = order_service.create(
+            {
+                "portfolio_id": 1,
+                "target_symbol": "BTC",
+                "amount": 1,
+                "trading_symbol": "EUR",
+                "price": 10,
+                "order_side": "BUY",
+                "order_type": "LIMIT",
+                "status": "OPEN",
+            }
+        )
+        trades = trade_service.get_all({"status": TradeStatus.CREATED.value})
+        self.assertEqual(1, len(trades))
+        trades = trade_service.get_all({"status": TradeStatus.OPEN.value})
+        self.assertEqual(0, len(trades))
+        order_service.update(order.id, {"filled": 10})
+        trades = trade_service.get_all({"status": TradeStatus.CREATED.value})
+        self.assertEqual(0, len(trades))
+        trades = trade_service.get_all({"status": TradeStatus.OPEN.value})
+        self.assertEqual(1, len(trades))
+        trades = trade_service.get_all({"status": TradeStatus.CLOSED.value})
+        self.assertEqual(0, len(trades))
diff --git a/tests/resources/__init__.py b/tests/resources/__init__.py
index 521dab2d..9d89c108 100644
--- a/tests/resources/__init__.py
+++ b/tests/resources/__init__.py
@@ -1,4 +1,5 @@
-from .stubs import MarketServiceStub, RandomPriceMarketDataSourceServiceStub
+from .stubs import MarketServiceStub, RandomPriceMarketDataSourceServiceStub,\
+    MarketDataSourceServiceStub
 from .test_base import TestBase, FlaskTestBase
 from .utils import random_string
 
@@ -7,5 +8,6 @@
     "TestBase",
     "MarketServiceStub",
     "FlaskTestBase",
-    "RandomPriceMarketDataSourceServiceStub"
+    "RandomPriceMarketDataSourceServiceStub",
+    "MarketDataSourceServiceStub"
 ]
diff --git a/tests/resources/backtest_reports_for_testing/report_950100_backtest-start-date_2021-12-21:00:00_backtest-end-date_2022-06-20:00:00_created-at_2024-04-25:13:52.json b/tests/resources/backtest_reports_for_testing/report_950100_backtest-start-date_2021-12-21-00-00_backtest-end-date_2022-06-20-00-00_created-at_2024-04-25-13-52.json
similarity index 100%
rename from tests/resources/backtest_reports_for_testing/report_950100_backtest-start-date_2021-12-21:00:00_backtest-end-date_2022-06-20:00:00_created-at_2024-04-25:13:52.json
rename to tests/resources/backtest_reports_for_testing/report_950100_backtest-start-date_2021-12-21-00-00_backtest-end-date_2022-06-20-00-00_created-at_2024-04-25-13-52.json
diff --git a/tests/resources/backtest_reports_for_testing/report_test_backtest-start-date_2021-12-21:00:00_backtest-end-date_2022-06-20:00:00_created-at_2024-04-25:13:52.json b/tests/resources/backtest_reports_for_testing/report_test_backtest-start-date_2021-12-21-00-00_backtest-end-date_2022-06-20-00-00_created-at_2024-04-25-13-52.json
similarity index 100%
rename from tests/resources/backtest_reports_for_testing/report_test_backtest-start-date_2021-12-21:00:00_backtest-end-date_2022-06-20:00:00_created-at_2024-04-25:13:52.json
rename to tests/resources/backtest_reports_for_testing/report_test_backtest-start-date_2021-12-21-00-00_backtest-end-date_2022-06-20-00-00_created-at_2024-04-25-13-52.json
diff --git a/tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv b/tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv
rename to tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv
diff --git a/tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:22:00_2023-12-25:00:00.csv b/tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-22-00_2023-12-25-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:22:00_2023-12-25:00:00.csv
rename to tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-22-00_2023-12-25-00-00.csv
diff --git a/tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv b/tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv b/tests/resources/market_data_sources/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources/TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv b/tests/resources/market_data_sources/TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources/TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources/TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources/TICKER_DOT-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv b/tests/resources/market_data_sources/TICKER_DOT-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources/TICKER_DOT-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources/TICKER_DOT-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv b/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:21:45_2023-12-25:00:00.csv
rename to tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-21-45_2023-12-25-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:22:00_2023-12-25:00:00.csv b/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-22-00_2023-12-25-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14:22:00_2023-12-25:00:00.csv
rename to tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_15m_2023-12-14-22-00_2023-12-25-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv b/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_NO_COLUMNS_2023-08-07:07:59_2023-12-02:00:00.csv b/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_NO_COLUMNS_2023-08-07-07-59_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_NO_COLUMNS_2023-08-07:07:59_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BINANCE_2h_NO_COLUMNS_2023-08-07-07-59_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BITVAVO_2h_2023-07-21:14:00_2024-06-07:10:00.csv b/tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BITVAVO_2h_2023-07-21-14-00_2024-06-07-10-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BITVAVO_2h_2023-07-21:14:00_2024-06-07:10:00.csv
rename to tests/resources/market_data_sources_for_testing/OHLCV_BTC-EUR_BITVAVO_2h_2023-07-21-14-00_2024-06-07-10-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv b/tests/resources/market_data_sources_for_testing/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07:07:59_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources_for_testing/OHLCV_DOT-EUR_BINANCE_2h_2023-08-07-07-59_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv b/tests/resources/market_data_sources_for_testing/TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources_for_testing/TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
diff --git a/tests/resources/market_data_sources_for_testing/TICKER_DOT-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv b/tests/resources/market_data_sources_for_testing/TICKER_DOT-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
similarity index 100%
rename from tests/resources/market_data_sources_for_testing/TICKER_DOT-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv
rename to tests/resources/market_data_sources_for_testing/TICKER_DOT-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv
diff --git a/tests/resources/stubs/__init__.py b/tests/resources/stubs/__init__.py
index bdcff571..f57b78d4 100644
--- a/tests/resources/stubs/__init__.py
+++ b/tests/resources/stubs/__init__.py
@@ -1,8 +1,9 @@
 from .market_data_source_service_stub import \
-    RandomPriceMarketDataSourceServiceStub
+    RandomPriceMarketDataSourceServiceStub, MarketDataSourceServiceStub
 from .market_service_stub import MarketServiceStub
 
 __all__ = [
     "MarketServiceStub",
-    "RandomPriceMarketDataSourceServiceStub"
+    "RandomPriceMarketDataSourceServiceStub",
+    "MarketDataSourceServiceStub"
 ]
diff --git a/tests/resources/stubs/market_data_source_service_stub.py b/tests/resources/stubs/market_data_source_service_stub.py
index 1b9979e6..9538dce8 100644
--- a/tests/resources/stubs/market_data_source_service_stub.py
+++ b/tests/resources/stubs/market_data_source_service_stub.py
@@ -15,3 +15,21 @@ def get_ticker(self, symbol, market=None):
             "volume": randint(1, 100),
             "timestamp": datetime.utcnow()
         }
+
+class MarketDataSourceServiceStub(MarketDataSourceService):
+
+    def __init__(self):
+        pass
+
+    def initialize_market_data_sources(self):
+        pass
+
+    def get_ticker(self, symbol, market=None):
+        return {
+            "symbol": symbol,
+            "ask": randint(1, 100),
+            "bid": randint(1, 100),
+            "last": randint(1, 100),
+            "volume": randint(1, 100),
+            "timestamp": datetime.utcnow()
+        }
diff --git a/tests/resources/test_base.py b/tests/resources/test_base.py
index f899c0cc..b8b61335 100644
--- a/tests/resources/test_base.py
+++ b/tests/resources/test_base.py
@@ -162,9 +162,7 @@ def create_app(self):
         self.market_service.orders = self.external_orders
         self.iaf_app.container.market_service.override(self.market_service)
 
-        if self.initialize:
-
-            if len(self.portfolio_configurations) > 0:
+        if len(self.portfolio_configurations) > 0:
                 for portfolio_configuration in self.portfolio_configurations:
                     self.iaf_app.add_portfolio_configuration(
                         portfolio_configuration
@@ -177,7 +175,9 @@ def create_app(self):
                     for market_credential in self.market_credentials:
                         self.iaf_app.add_market_credential(market_credential)
 
-                self.iaf_app.initialize()
+        if self.initialize:
+            self.iaf_app.initialize_config()
+            self.iaf_app.initialize()
 
         if self.initial_orders is not None:
             for order in self.initial_orders:
diff --git a/tests/services/test_backtest_service.py b/tests/services/test_backtest_service.py
index 75de1aef..1dbb83d2 100644
--- a/tests/services/test_backtest_service.py
+++ b/tests/services/test_backtest_service.py
@@ -60,27 +60,14 @@ def test_is_backtest_report(self):
         )
         self.assertFalse(backtest_service._is_backtest_report(path))
 
-    def test_get_report(self):
-        backtest_service = self.app.container.backtest_service()
-        date_range = BacktestDateRange(
-            start_date="2021-12-21 00:00",
-            end_date="2022-06-20 00:00"
-        )
-        report = backtest_service.get_report(
-            algorithm_name="test",
-            backtest_date_range=date_range, directory=self.backtest_report_dir
-        )
-        self.assertIsNotNone(report)
-
-    def test_get_report(self):
-        backtest_service = self.app.container.backtest_service()
-        date_range = BacktestDateRange(
-            start_date="2021-12-21 00:00",
-            end_date="2022-06-20 00:00"
-        )
-        report = backtest_service.get_report(
-            algorithm_name="950100",
-            backtest_date_range=date_range,
-            directory=self.backtest_report_dir
-        )
-        self.assertIsNotNone(report)
+    # def test_get_report(self):
+    #     backtest_service = self.app.container.backtest_service()
+    #     date_range = BacktestDateRange(
+    #         start_date="2021-12-21 00:00",
+    #         end_date="2022-06-20 00:00"
+    #     )
+    #     report = backtest_service.get_report(
+    #         algorithm_name="test",
+    #         backtest_date_range=date_range, directory=self.backtest_report_dir
+    #     )
+    #     self.assertIsNotNone(report)
diff --git a/tests/services/test_market_data_source_service.py b/tests/services/test_market_data_source_service.py
index 52cfca95..cfb48f79 100644
--- a/tests/services/test_market_data_source_service.py
+++ b/tests/services/test_market_data_source_service.py
@@ -34,7 +34,7 @@ def setUp(self) -> None:
             csv_file_path=os.path.join(
                 config[RESOURCE_DIRECTORY],
                 "market_data_sources",
-                "TICKER_BTC-EUR_BINANCE_2023-08-23:22:00_2023-12-02:00:00.csv"
+                "TICKER_BTC-EUR_BINANCE_2023-08-23-22-00_2023-12-02-00-00.csv"
             )
         ))
 
diff --git a/tests/services/test_order_backtest_service.py b/tests/services/test_order_backtest_service.py
index c8bc5d53..1462e193 100644
--- a/tests/services/test_order_backtest_service.py
+++ b/tests/services/test_order_backtest_service.py
@@ -4,10 +4,12 @@
 import polars as pl
 
 from investing_algorithm_framework import PortfolioConfiguration, \
-    MarketCredential, \
-    BACKTESTING_INDEX_DATETIME
+    MarketCredential, BACKTESTING_INDEX_DATETIME
 from investing_algorithm_framework.services import \
     BacktestMarketDataSourceService, OrderBacktestService
+from investing_algorithm_framework.domain import ENVIRONMENT, \
+    DATABASE_NAME, DATABASE_DIRECTORY_NAME, Environment, \
+    BACKTESTING_START_DATE, BACKTESTING_END_DATE, BACKTESTING_INITIAL_AMOUNT
 from tests.resources import TestBase
 
 
@@ -61,6 +63,7 @@ def setUp(self) -> None:
 
         self.app.container.order_service.override(
             OrderBacktestService(
+                trade_service=self.app.container.trade_service(),
                 order_repository=self.app.container.order_repository(),
                 position_repository=self.app.container.position_repository(),
                 portfolio_repository=self.app.container.portfolio_repository(),
@@ -73,6 +76,17 @@ def setUp(self) -> None:
                 market_data_source_service=backtest_market_data_source_service
             )
         )
+        self.app.set_config_with_dict(
+            {
+                ENVIRONMENT: Environment.BACKTEST.value,
+                DATABASE_NAME: "backtest-database.sqlite3",
+                DATABASE_DIRECTORY_NAME: "backtest_databases",
+                BACKTESTING_START_DATE: datetime(2023, 8, 8),
+                BACKTESTING_END_DATE: datetime(2023, 8, 10),
+                BACKTESTING_INITIAL_AMOUNT: 1000
+            }
+        )
+        self.app.initialize_config()
         self.app.initialize()
 
     def test_create_limit_order(self):
@@ -104,7 +118,7 @@ def test_create_limit_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
     def test_update_order(self):
         order_service = self.app.container.order_service()
@@ -170,7 +184,7 @@ def test_create_limit_buy_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
     def test_create_limit_sell_order(self):
         order_service = self.app.container.order_service()
@@ -200,7 +214,7 @@ def test_create_limit_sell_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
         order_service.update(
             order.id,
@@ -243,118 +257,6 @@ def test_update_buy_order_with_successful_order_filled(self):
     def test_update_sell_order_with_successful_order(self):
         pass
 
-    def test_update_closing_partial_buy_orders(self):
-        order_service = self.app.container.order_service()
-        configuration_service = self.app.container.configuration_service()
-        configuration_service.add_value(
-            BACKTESTING_INDEX_DATETIME,
-            datetime.utcnow()
-        )
-        buy_order_one = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 5,
-                "order_side": "BUY",
-                "price": 0.24262,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        order_service.update(
-            buy_order_one.id,
-            {
-                "status": "CLOSED",
-                "filled": 5,
-                "remaining": Decimal('0'),
-            }
-        )
-        buy_order_two = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 5,
-                "order_side": "BUY",
-                "price": 0.24262,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        order_service.update(
-            buy_order_two.id,
-            {
-                "status": "CLOSED",
-                "filled": 5,
-                "remaining": Decimal('0'),
-            }
-        )
-        sell_order_one = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 2.5,
-                "order_side": "SELL",
-                "price": 0.24262,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        order_service.update(
-            sell_order_one.id,
-            {
-                "status": "CLOSED",
-                "filled": 2.5,
-                "remaining": Decimal('0'),
-            }
-        )
-        buy_order_one = order_service.get(buy_order_one.id)
-        buy_order_two = order_service.get(buy_order_two.id)
-        self.assertEqual(
-            2.5,
-            buy_order_one.get_filled()
-            - buy_order_one.get_trade_closed_amount()
-        )
-        self.assertEqual(
-            5,
-            buy_order_two.get_filled()
-            - buy_order_two.get_trade_closed_amount()
-        )
-        sell_order_two = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 5,
-                "order_side": "SELL",
-                "price": 0.24262,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        order_service.update(
-            sell_order_two.id,
-            {
-                "status": "CLOSED",
-                "filled": 5,
-                "remaining": Decimal('0'),
-            }
-        )
-        buy_order_one = order_service.get(buy_order_one.id)
-        buy_order_two = order_service.get(buy_order_two.id)
-        self.assertEqual(
-            0,
-            buy_order_one.get_filled()
-            - buy_order_one.get_trade_closed_amount()
-        )
-        self.assertEqual(
-            2.5,
-            buy_order_two.get_filled()
-            - buy_order_two.get_trade_closed_amount()
-        )
-
     def test_update_sell_order_with_successful_order_filled(self):
         pass
 
@@ -370,132 +272,6 @@ def test_update_buy_order_with_cancelled_order(self):
     def test_update_sell_order_with_cancelled_order(self):
         pass
 
-    def test_trade_closing_winning_trade(self):
-        order_service = self.app.container.order_service()
-        configuration_service = self.app.container.configuration_service()
-        configuration_service.add_value(
-            BACKTESTING_INDEX_DATETIME,
-            datetime.utcnow()
-        )
-        buy_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "BUY",
-                "price": 0.2,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        updated_buy_order = order_service.update(
-            buy_order.id,
-            {
-                "status": "CLOSED",
-                "filled": 1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(updated_buy_order.amount, 1000)
-        self.assertEqual(updated_buy_order.filled, 1000)
-        self.assertEqual(updated_buy_order.remaining, 0)
-
-        # Create a sell order with a higher price
-        sell_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "SELL",
-                "price": 0.3,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        self.assertEqual(0.3, sell_order.get_price())
-        updated_sell_order = order_service.update(
-            sell_order.id,
-            {
-                "status": "CLOSED",
-                "filled": 1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(0.3, updated_sell_order.get_price())
-        self.assertEqual(updated_sell_order.amount, 1000)
-        self.assertEqual(updated_sell_order.filled, 1000)
-        self.assertEqual(updated_sell_order.remaining, 0)
-        buy_order = order_service.get(buy_order.id)
-        self.assertEqual(buy_order.status, "CLOSED")
-        self.assertIsNotNone(buy_order.get_trade_closed_at())
-        self.assertIsNotNone(buy_order.get_trade_closed_price())
-        self.assertNotEqual(0, buy_order.get_net_gain())
-
-    def test_trade_closing_losing_trade(self):
-        order_service = self.app.container.order_service()
-        configuration_service = self.app.container.configuration_service()
-        configuration_service.add_value(
-            BACKTESTING_INDEX_DATETIME,
-            datetime.utcnow()
-        )
-        buy_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "BUY",
-                "price": 0.2,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        updated_buy_order = order_service.update(
-            buy_order.id,
-            {
-                "status": "CLOSED",
-                "filled":  1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(updated_buy_order.amount, 1000)
-        self.assertEqual(updated_buy_order.filled, 1000)
-        self.assertEqual(updated_buy_order.remaining, 0)
-
-        # Create a sell order with a higher price
-        sell_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "SELL",
-                "price": 0.1,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        self.assertEqual(0.1, sell_order.get_price())
-        updated_sell_order = order_service.update(
-            sell_order.id,
-            {
-                "status": "CLOSED",
-                "filled": 1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(0.1, updated_sell_order.get_price())
-        self.assertEqual(updated_sell_order.amount, 1000)
-        self.assertEqual(updated_sell_order.filled, 1000)
-        self.assertEqual(updated_sell_order.remaining, 0)
-        buy_order = order_service.get(buy_order.id)
-        self.assertEqual(buy_order.status, "CLOSED")
-        self.assertIsNotNone(buy_order.get_trade_closed_at())
-        self.assertIsNotNone(buy_order.get_trade_closed_price())
-        self.assertEqual(-100, buy_order.get_net_gain())
-
     def test_has_executed_buy_order(self):
         order_service = self.app.container.order_service()
         configuration_service = self.app.container.configuration_service()
@@ -526,7 +302,7 @@ def test_has_executed_buy_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
         # Check with ohlcv data with a single row that matches the price
         # of the buy order
@@ -657,7 +433,7 @@ def test_has_executed_sell_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
         # Update the buy order to closed
         order_service.update(
diff --git a/tests/services/test_order_service.py b/tests/services/test_order_service.py
index e275967a..f5c5248d 100644
--- a/tests/services/test_order_service.py
+++ b/tests/services/test_order_service.py
@@ -46,7 +46,7 @@ def test_create_limit_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
     def test_update_order(self):
         order_service = self.app.container.order_service()
@@ -101,7 +101,7 @@ def test_create_limit_buy_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
     def test_create_limit_sell_order(self):
         order_service = self.app.container.order_service()
@@ -126,7 +126,7 @@ def test_create_limit_sell_order(self):
         self.assertEqual("EUR", order.get_trading_symbol())
         self.assertEqual("BUY", order.get_order_side())
         self.assertEqual("LIMIT", order.get_order_type())
-        self.assertEqual("CREATED", order.get_status())
+        self.assertEqual("OPEN", order.get_status())
 
         order_service.update(
             order.id,
@@ -233,16 +233,8 @@ def test_update_sell_order_closing_partial_buy_orders(self):
         )
         buy_order_one = order_service.get(buy_order_one.id)
         buy_order_two = order_service.get(buy_order_two.id)
-        self.assertEqual(
-            2.5,
-            buy_order_one.get_filled()
-            - buy_order_one.get_trade_closed_amount()
-        )
-        self.assertEqual(
-            5,
-            buy_order_two.get_filled()
-            - buy_order_two.get_trade_closed_amount()
-        )
+        self.assertEqual(5, buy_order_one.get_filled())
+        self.assertEqual(5, buy_order_two.get_filled())
         sell_order_two = order_service.create(
             {
                 "target_symbol": "ADA",
@@ -265,16 +257,8 @@ def test_update_sell_order_closing_partial_buy_orders(self):
         )
         buy_order_one = order_service.get(buy_order_one.id)
         buy_order_two = order_service.get(buy_order_two.id)
-        self.assertEqual(
-            0,
-            buy_order_one.get_filled()
-            - buy_order_one.get_trade_closed_amount()
-        )
-        self.assertEqual(
-            2.5,
-            buy_order_two.get_filled()
-            - buy_order_two.get_trade_closed_amount()
-        )
+        self.assertEqual(5, buy_order_one.get_filled())
+        self.assertEqual(5, buy_order_two.get_filled())
 
     def test_update_sell_order_with_successful_order_filled(self):
         pass
@@ -290,119 +274,3 @@ def test_update_buy_order_with_cancelled_order(self):
 
     def test_update_sell_order_with_cancelled_order(self):
         pass
-
-    def test_trade_closing_winning_trade(self):
-        order_service = self.app.container.order_service()
-        buy_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "BUY",
-                "price": 0.2,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        updated_buy_order = order_service.update(
-            buy_order.id,
-            {
-                "status": "CLOSED",
-                "filled": 1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(updated_buy_order.amount, 1000)
-        self.assertEqual(updated_buy_order.filled, 1000)
-        self.assertEqual(updated_buy_order.remaining, 0)
-
-        # Create a sell order with a higher price
-        sell_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "SELL",
-                "price": 0.3,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        self.assertEqual(0.3, sell_order.get_price())
-        updated_sell_order = order_service.update(
-            sell_order.id,
-            {
-                "status": "CLOSED",
-                "filled": 1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(0.3, updated_sell_order.get_price())
-        self.assertEqual(updated_sell_order.amount, 1000)
-        self.assertEqual(updated_sell_order.filled, 1000)
-        self.assertEqual(updated_sell_order.remaining, 0)
-        buy_order = order_service.get(buy_order.id)
-        self.assertEqual(buy_order.status, "CLOSED")
-        self.assertIsNotNone(buy_order.get_trade_closed_at())
-        self.assertIsNotNone(buy_order.get_trade_closed_price())
-        self.assertNotEqual(0, buy_order.get_net_gain())
-
-    def test_trade_closing_losing_trade(self):
-        order_service = self.app.container.order_service()
-        buy_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "BUY",
-                "price": 0.2,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        updated_buy_order = order_service.update(
-            buy_order.id,
-            {
-                "status": "CLOSED",
-                "filled":  1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(updated_buy_order.amount, 1000)
-        self.assertEqual(updated_buy_order.filled, 1000)
-        self.assertEqual(updated_buy_order.remaining, 0)
-
-        # Create a sell order with a higher price
-        sell_order = order_service.create(
-            {
-                "target_symbol": "ADA",
-                "trading_symbol": "EUR",
-                "amount": 1000,
-                "order_side": "SELL",
-                "price": 0.1,
-                "order_type": "LIMIT",
-                "portfolio_id": 1,
-                "status": "CREATED",
-            }
-        )
-        self.assertEqual(0.1, sell_order.get_price())
-        updated_sell_order = order_service.update(
-            sell_order.id,
-            {
-                "status": "CLOSED",
-                "filled": 1000,
-                "remaining": 0,
-            }
-        )
-        self.assertEqual(0.1, updated_sell_order.get_price())
-        self.assertEqual(updated_sell_order.amount, 1000)
-        self.assertEqual(updated_sell_order.filled, 1000)
-        self.assertEqual(updated_sell_order.remaining, 0)
-        buy_order = order_service.get(buy_order.id)
-        self.assertEqual(buy_order.status, "CLOSED")
-        self.assertIsNotNone(buy_order.get_trade_closed_at())
-        self.assertIsNotNone(buy_order.get_trade_closed_price())
-        self.assertEqual(-100, buy_order.get_net_gain())
diff --git a/tests/services/test_trade_service.py b/tests/services/test_trade_service.py
new file mode 100644
index 00000000..8cf1920a
--- /dev/null
+++ b/tests/services/test_trade_service.py
@@ -0,0 +1,660 @@
+from investing_algorithm_framework import PortfolioConfiguration, \
+    MarketCredential, OrderStatus, TradeStatus
+from tests.resources import TestBase
+
+
+class TestTradeService(TestBase):
+    market_credentials = [
+        MarketCredential(
+            market="binance",
+            api_key="api_key",
+            secret_key="secret_key",
+        )
+    ]
+    portfolio_configurations = [
+        PortfolioConfiguration(
+            market="binance",
+            trading_symbol="EUR"
+        )
+    ]
+    external_balances = {
+        "EUR": 1000
+    }
+
+    def test_create_trade_from_buy_order(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 2004,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+            }
+        )
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNotNone(trade.opened_at)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(2004, trade.remaining)
+
+    def test_create_trade_from_buy_order_with_rejected_buy_order(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 2004,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "REJECTED",
+            }
+        )
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertIsNone(trade)
+
+    def test_create_trade_from_buy_order_with_canceled_buy_order(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 2004,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "CANCELED",
+            }
+        )
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertIsNone(trade)
+
+    def test_create_trade_from_buy_order_with_expired_buy_order(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 2004,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "EXPIRED",
+            }
+        )
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertIsNone(trade)
+
+    def test_update_trade(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 0,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+            }
+        )
+        order_id = buy_order.id
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(0, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNotNone(trade.opened_at)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(0, trade.remaining)
+        buy_order = order_repository.get(order_id)
+        buy_order = order_repository.update(
+            buy_order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": 2004,
+            }
+        )
+        trade = trade_service.update_trade_with_buy_order(2004, buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(2004, trade.remaining)
+
+    def test_update_trade_with_existing_buy_order(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 1000,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+            }
+        )
+        order_id = buy_order.id
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(1000, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNotNone(trade.opened_at)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(1000, trade.remaining)
+        buy_order = order_repository.get(order_id)
+        buy_order = order_repository.update(
+            buy_order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": 2004,
+            }
+        )
+        trade = trade_service.update_trade_with_buy_order(1004, buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(2004, trade.remaining)
+
+    def test_update_trade_with_existing_buy_order_and_partily_closed(self):
+        order_repository = self.app.container.order_repository()
+        buy_order = order_repository.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 1000,
+                "order_side": "BUY",
+                "price": 0.24262,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+            }
+        )
+        order_id = buy_order.id
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.create_trade_from_buy_order(buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(1000, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNotNone(trade.opened_at)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(1000, trade.remaining)
+        buy_order = order_repository.get(order_id)
+        buy_order = order_repository.update(
+            buy_order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": 2004,
+            }
+        )
+        trade = trade_service.update_trade_with_buy_order(1004, buy_order)
+        self.assertEqual("ADA", trade.target_symbol)
+        self.assertEqual("EUR", trade.trading_symbol)
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(0.24262, trade.open_price)
+        self.assertIsNone(trade.closed_at)
+        self.assertEqual(2004, trade.remaining)
+
+    def test_close_trades(self):
+        portfolio = self.app.algorithm.get_portfolio()
+        order_service = self.app.container.order_service()
+        order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 0,
+                "order_side": "BUY",
+                "price": 0.2,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+        trade_service = self.app.container.trade_service()
+
+        order = order_service.find({
+            "target_symbol": "ADA",
+            "trading_symbol": "EUR",
+            "portfolio_id": portfolio.id
+        })
+
+        # Update the buy order to closed
+        order_service = self.app.container.order_service()
+        order_service.update(
+            order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": 2004,
+            }
+        )
+
+        # Check that the trade was updated
+        trade = trade_service.find(
+            {"target_symbol": "ADA", "trading_symbol": "EUR"}
+        )
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(2004, trade.remaining)
+        self.assertEqual(TradeStatus.OPEN.value, trade.status)
+        self.assertEqual(0.2, trade.open_price)
+        self.assertEqual(1, len(trade.orders))
+
+        order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 0,
+                "order_side": "SELL",
+                "price": 0.3,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+        trade_service = self.app.container.trade_service()
+         # Check that the trade was updated
+        trade = trade_service.find(
+            {"target_symbol": "ADA", "trading_symbol": "EUR"}
+        )
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(2004, trade.remaining)
+        self.assertEqual(TradeStatus.OPEN.value, trade.status)
+        self.assertEqual(0.2, trade.open_price)
+        # Amount of orders should be 1, because the sell order has not
+        # been filled
+        self.assertEqual(1, len(trade.orders))
+
+        # Update the sell order to closed
+        order = order_service.find({
+            "target_symbol": "ADA",
+            "trading_symbol": "EUR",
+            "order_side": "SELL",
+            "portfolio_id": portfolio.id
+        })
+        order_service.update(
+            order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": 2004,
+            }
+        )
+
+        trade_service = self.app.container.trade_service()
+         # Check that the trade was updated
+        trade = trade_service.find(
+            {"target_symbol": "ADA", "trading_symbol": "EUR"}
+        )
+        self.assertEqual(2004, trade.amount)
+        self.assertEqual(0, trade.remaining)
+        self.assertEqual(TradeStatus.CLOSED.value, trade.status)
+        self.assertEqual(0.2, trade.open_price)
+        self.assertAlmostEqual(2004 * 0.3 - 2004 * 0.2, trade.net_gain)
+        self.assertEqual(2, len(trade.orders))
+
+    def test_close_trades_with_no_open_trades(self):
+        portfolio = self.app.algorithm.get_portfolio()
+        order_service = self.app.container.order_service()
+        order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2004,
+                "filled": 0,
+                "order_side": "BUY",
+                "price": 0.2,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+
+        with self.assertRaises(Exception) as context:
+            order_service.create(
+                {
+                    "target_symbol": "ADA",
+                    "trading_symbol": "EUR",
+                    "amount": 2004,
+                    "filled": 0,
+                    "order_side": "SELL",
+                    "price": 0.3,
+                    "order_type": "LIMIT",
+                    "status": "CREATED",
+                    "portfolio_id": portfolio.id,
+                }
+            )
+
+        self.assertIn(
+            "Order amount 2004 is larger then amount of open position 0.0",
+            str(context.exception)
+        )
+
+    def test_close_trades_with_multiple_trades(self):
+        portfolio = self.app.algorithm.get_portfolio()
+        order_service = self.app.container.order_service()
+        buy_order = order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2000,
+                "filled": 0,
+                "order_side": "BUY",
+                "price": 0.2,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+        order_one_id = buy_order.id
+
+        buy_order = order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 1000,
+                "filled": 0,
+                "order_side": "BUY",
+                "price": 0.25,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+        order_two_id = buy_order.id
+
+        orders = order_service.get_all({
+            "target_symbol": "ADA",
+            "trading_symbol": "EUR",
+            "portfolio_id": portfolio.id
+        })
+
+        # Update the buy order to closed
+        order_service = self.app.container.order_service()
+
+        for order in orders:
+            order_service.update(
+                order.id,
+                {
+                    "status": OrderStatus.CLOSED.value,
+                    "filled": order.amount,
+                }
+            )
+
+        # Check that the trade was updated
+        trade_service = self.app.container.trade_service()
+        self.assertEqual(2, len(trade_service.get_all()))
+        trades = trade_service.get_all(
+            {"target_symbol": "ADA", "trading_symbol": "EUR"}
+        )
+
+        for t in trades:
+            self.assertNotEqual(0, t.amount)
+            self.assertEqual(t.amount, t.remaining)
+            self.assertEqual(TradeStatus.OPEN.value, t.status)
+            self.assertEqual(1, len(t.orders))
+
+        order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 3000,
+                "filled": 0,
+                "order_side": "SELL",
+                "price": 0.3,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+        trade_service = self.app.container.trade_service()
+        self.assertEqual(2, len(trade_service.get_all()))
+        trades = trade_service.get_all(
+            {"target_symbol": "ADA", "trading_symbol": "EUR"}
+        )
+
+        for t in trades:
+            self.assertNotEqual(0, t.amount)
+            self.assertEqual(t.amount, t.remaining)
+            self.assertEqual(TradeStatus.OPEN.value, t.status)
+            self.assertEqual(1, len(t.orders))
+
+
+        # Update the sell order to closed
+        order = order_service.find({
+            "target_symbol": "ADA",
+            "trading_symbol": "EUR",
+            "order_side": "SELL",
+            "portfolio_id": portfolio.id
+        })
+        order_service.update(
+            order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": order.amount,
+            }
+        )
+
+        trade_service = self.app.container.trade_service()
+        self.assertEqual(2, len(trade_service.get_all()))
+        trades = trade_service.get_all(
+            {"target_symbol": "ADA", "trading_symbol": "EUR"}
+        )
+
+        for t in trades:
+            self.assertNotEqual(0, t.amount)
+            self.assertNotEqual(t.amount, t.remaining)
+            self.assertEqual(TradeStatus.CLOSED.value, t.status)
+            self.assertEqual(2, len(t.orders))
+            self.assertEqual(0, t.remaining)
+
+        trade = trade_service.find({"order_id": order_one_id})
+        self.assertEqual(200, trade.net_gain)
+
+        trade = trade_service.find({"order_id": order_two_id})
+        self.assertEqual(50, trade.net_gain)
+
+    def test_close_trades_with_partailly_filled_buy_order(self):
+        portfolio = self.app.algorithm.get_portfolio()
+        order_service = self.app.container.order_service()
+        order = order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 2000,
+                "filled": 0,
+                "order_side": "BUY",
+                "price": 0.2,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+        order_id = order.id
+        order_service.update(
+            order.id,
+            {
+                "status": OrderStatus.OPEN.value,
+                "filled": order.amount / 2,
+            }
+        )
+
+        trade_service = self.app.container.trade_service()
+        trade = trade_service.find(
+            {"order_id": order_id}
+        )
+        self.assertEqual(1000, trade.amount)
+        self.assertEqual(1000, trade.remaining)
+        self.assertEqual(TradeStatus.OPEN.value, trade.status)
+        self.assertEqual(0.2, trade.open_price)
+        self.assertEqual(1, len(trade.orders))
+        order = order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 1000,
+                "filled": 0,
+                "order_side": "SELL",
+                "price": 0.3,
+                "order_type": "LIMIT",
+                "status": "CREATED",
+                "portfolio_id": portfolio.id,
+            }
+        )
+
+        order_service.update(
+            order.id,
+            {
+                "status": OrderStatus.CLOSED.value,
+                "filled": 1000,
+            }
+        )
+        trade = trade_service.find({"order_id": order_id})
+        self.assertEqual(1000, trade.amount)
+        self.assertEqual(0, trade.remaining)
+        self.assertEqual(TradeStatus.CLOSED.value, trade.status)
+        self.assertEqual(0.2, trade.open_price)
+        self.assertAlmostEqual(1000 * 0.3 - 1000 * 0.2, trade.net_gain)
+        self.assertEqual(2, len(trade.orders))
+
+    def test_trade_closing_winning_trade(self):
+        order_service = self.app.container.order_service()
+        buy_order = order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 1000,
+                "order_side": "BUY",
+                "price": 0.2,
+                "order_type": "LIMIT",
+                "portfolio_id": 1,
+                "status": "CREATED",
+            }
+        )
+        updated_buy_order = order_service.update(
+            buy_order.id,
+            {
+                "status": "CLOSED",
+                "filled": 1000,
+                "remaining": 0,
+            }
+        )
+        self.assertEqual(updated_buy_order.amount, 1000)
+        self.assertEqual(updated_buy_order.filled, 1000)
+        self.assertEqual(updated_buy_order.remaining, 0)
+
+        # Create a sell order with a higher price
+        sell_order = order_service.create(
+            {
+                "target_symbol": "ADA",
+                "trading_symbol": "EUR",
+                "amount": 1000,
+                "order_side": "SELL",
+                "price": 0.3,
+                "order_type": "LIMIT",
+                "portfolio_id": 1,
+                "status": "CREATED",
+            }
+        )
+        self.assertEqual(0.3, sell_order.get_price())
+        updated_sell_order = order_service.update(
+            sell_order.id,
+            {
+                "status": "CLOSED",
+                "filled": 1000,
+                "remaining": 0,
+            }
+        )
+        updated_sell_order = order_service.get(sell_order.id)
+        self.assertEqual(0.3, updated_sell_order.get_price())
+        self.assertEqual(updated_sell_order.amount, 1000)
+        self.assertEqual(updated_sell_order.filled, 1000)
+        self.assertEqual(updated_sell_order.remaining, 0)
+
+        trade = self.app.container.trade_service().find(
+            {"order_id": buy_order.id}
+        )
+        self.assertEqual(trade.status, "CLOSED")
+        self.assertIsNotNone(trade.closed_at)
+        self.assertIsNotNone(trade.net_gain)
+
+    # def test_trade_closing_losing_trade(self):
+    #     order_service = self.app.container.order_service()
+    #     buy_order = order_service.create(
+    #         {
+    #             "target_symbol": "ADA",
+    #             "trading_symbol": "EUR",
+    #             "amount": 1000,
+    #             "order_side": "BUY",
+    #             "price": 0.2,
+    #             "order_type": "LIMIT",
+    #             "portfolio_id": 1,
+    #             "status": "CREATED",
+    #         }
+    #     )
+    #     updated_buy_order = order_service.update(
+    #         buy_order.id,
+    #         {
+    #             "status": "CLOSED",
+    #             "filled":  1000,
+    #             "remaining": 0,
+    #         }
+    #     )
+    #     self.assertEqual(updated_buy_order.amount, 1000)
+    #     self.assertEqual(updated_buy_order.filled, 1000)
+    #     self.assertEqual(updated_buy_order.remaining, 0)
+
+    #     # Create a sell order with a higher price
+    #     sell_order = order_service.create(
+    #         {
+    #             "target_symbol": "ADA",
+    #             "trading_symbol": "EUR",
+    #             "amount": 1000,
+    #             "order_side": "SELL",
+    #             "price": 0.1,
+    #             "order_type": "LIMIT",
+    #             "portfolio_id": 1,
+    #             "status": "CREATED",
+    #         }
+    #     )
+    #     self.assertEqual(0.1, sell_order.get_price())
+    #     updated_sell_order = order_service.update(
+    #         sell_order.id,
+    #         {
+    #             "status": "CLOSED",
+    #             "filled": 1000,
+    #             "remaining": 0,
+    #         }
+    #     )
+    #     self.assertEqual(0.1, updated_sell_order.get_price())
+    #     self.assertEqual(updated_sell_order.amount, 1000)
+    #     self.assertEqual(updated_sell_order.filled, 1000)
+    #     self.assertEqual(updated_sell_order.remaining, 0)
+    #     buy_order = order_service.get(buy_order.id)
+    #     self.assertEqual(buy_order.status, "CLOSED")
+    #     self.assertIsNotNone(buy_order.get_trade_closed_at())
+    #     self.assertIsNotNone(buy_order.get_trade_closed_price())
+    #     self.assertEqual(-100, buy_order.get_net_gain())
\ No newline at end of file
diff --git a/tests/test_create_app.py b/tests/test_create_app.py
index d33fafc7..378a3b42 100644
--- a/tests/test_create_app.py
+++ b/tests/test_create_app.py
@@ -69,6 +69,7 @@ def test_create_app_web(self):
         app.container.market_service.override(
             market_service
         )
+        app.initialize_config()
         app.initialize()
         self.assertIsNotNone(app)
         self.assertIsNotNone(app._flask_app)