This repository contains a collection of trading strategies and backtesting tools implemented in Python. The project is organized into two main components: a Python module for strategy logic and an Excel module for data analysis and visualization. Repository Structure
/python: Contains backtesting logic and trading strategy implementations /excel: Contains Excel-based tools for data analysis and visualization of strategy results
Multiple trading strategies for different market conditions Comprehensive backtesting framework to evaluate performance Data analysis tools to visualize results and optimize parameters
Guide on how to create and implement new trading strategies Framework for integrating custom indicators and signals Best practices for strategy development
Instructions for running backtests on historical data Methods for optimizing strategy parameters Cross-validation techniques to prevent overfitting
Tools for analyzing performance metrics (Sharpe ratio, drawdown, etc.) Visualization methods for strategy performance Comparison framework for evaluating multiple strategies
Clone the repository Install required dependencies (list your requirements here) Run strategy backtests using the Python scripts in /python Analyze results using the Excel tools in /excel