diff --git a/.gitignore b/.gitignore index 7773828..f2fffce 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,2 @@ -dist/ \ No newline at end of file +dist/ +.benchmarks/ \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md index f136dc5..3c2e98d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,9 @@ # CHANGELOG +## 1.2.0 (2024-03-25) + +- Add API to call yfinance to receive stock information and future options chain + ## 1.1.0 (2024-03-24) - Refactor the engine's `run` method for readability. diff --git a/optionlab/__init__.py b/optionlab/__init__.py index 2a786f2..0b9a25f 100644 --- a/optionlab/__init__.py +++ b/optionlab/__init__.py @@ -1,7 +1,7 @@ import typing -VERSION = "1.1.0" +VERSION = "1.2.0" if typing.TYPE_CHECKING: @@ -46,6 +46,7 @@ get_profit_range, get_pop, ) + from .api import get_options_chain, get_stock_history __version__ = VERSION __all__ = ( @@ -87,6 +88,9 @@ "get_theta", # plot "plot_pl", + # api + "get_options_chain", + "get_stock_history", ) # A mapping of {: (package, )} defining dynamic imports @@ -129,6 +133,9 @@ "get_theta": (__package__, ".black_scholes"), # plot "plot_pl": (__package__, ".plot"), + # api + "get_options_chain": (__package__, ".api"), + "get_stock_history": (__package__, ".api"), } diff --git a/optionlab/api.py b/optionlab/api.py new file mode 100644 index 0000000..70ef916 --- /dev/null +++ b/optionlab/api.py @@ -0,0 +1,21 @@ +import datetime as dt + +import pandas as pd +from yfinance import Ticker + +from optionlab.models import OptionsChain + + +def get_options_chain(ticker: str, expiration_date: dt.date) -> OptionsChain: + stock = Ticker(ticker) + res = stock.option_chain(expiration_date.strftime("%Y-%m-%d")) + return OptionsChain( + calls=res.calls, + puts=res.puts, + underlying=res.underlying, + ) + + +def get_stock_history(ticker: str, num_of_months: int) -> pd.DataFrame: + stock = Ticker(ticker) + return stock.history(period=f"{num_of_months}mo") diff --git a/optionlab/models.py b/optionlab/models.py index a85981c..a58a48c 100644 --- a/optionlab/models.py +++ b/optionlab/models.py @@ -2,6 +2,8 @@ from typing import Literal import numpy as np +import pandas as pd +from humps import decamelize from pydantic import BaseModel, Field, field_validator, model_validator, ConfigDict OptionType = Literal["call", "put"] @@ -357,3 +359,108 @@ def return_in_the_domain_ratio(self) -> float: return abs( self.maximum_return_in_the_domain / self.minimum_return_in_the_domain ) + + +class UnderlyingAsset(BaseModel): + symbol: str + region: str + quote_type: Literal["EQUITY"] + quote_source_name: Literal["Delayed Quote", "Nasdaq Real Time Price"] + triggerable: bool + currency: Literal["USD"] + market_state: Literal["CLOSED", "OPEN", "POST"] + regular_market_change_percent: float + regular_market_price: float + exchange: str + short_name: str + long_name: str + exchange_timezone_name: str + exchange_timezone_short_name: str + gmt_off_set_milliseconds: int + market: Literal["us_market"] + esg_populated: bool + first_trade_date_milliseconds: int + post_market_change_percent: float + post_market_time: int + post_market_price: float + post_market_change: float + regular_market_change: float + regular_market_time: int + regular_market_day_high: float + regular_market_day_range: tuple[float, float] + regular_market_day_low: float + regular_market_volume: float + regular_market_previous_close: float + bid: float + ask: float + bid_size: int + ask_size: int + full_exchange_name: str + financial_currency: Literal["USD"] + regular_market_open: float + average_daily_volume3_month: int + average_daily_volume10_day: int + fifty_two_week_low_change: float + fifty_two_week_low_change_percent: float + fifty_two_week_range: tuple[float, float] + fifty_two_week_high_change: float + fifty_two_week_high_change_percent: float + fifty_two_week_low: float + fifty_two_week_high: float + fifty_two_week_change_percent: float + dividend_date: int + earnings_timestamp: int + earnings_timestamp_start: int + earnings_timestamp_end: int + trailing_annual_dividend_rate: float + trailing_pe: float + dividend_rate: float + trailing_annual_dividend_yield: float + dividend_yield: float + eps_trailing_twelve_months: float + eps_forward: float + eps_current_year: float + price_eps_current_year: float + shares_outstanding: int + book_value: float + fifty_day_average: float + fifty_day_average_change: float + fifty_day_average_change_percent: float + two_hundred_day_average: float + two_hundred_day_average_change: float + two_hundred_day_average_change_percent: float + market_cap: int + forward_pe: float + price_to_book: float + source_interval: int + exchange_data_delayed_by: int + average_analyst_rating: str + tradeable: bool + crypto_tradeable: bool + display_name: str + + +class OptionsChain(BaseModel): + calls: pd.DataFrame + puts: pd.DataFrame + underlying: UnderlyingAsset + model_config = ConfigDict(arbitrary_types_allowed=True) + + @field_validator("underlying", mode="before") + @classmethod + def validate_underlying(cls, v: dict) -> UnderlyingAsset: + day_range_split = v["regularMarketDayRange"].split(" - ") + fifty_two_week_range_split = v["fiftyTwoWeekRange"].split(" - ") + return UnderlyingAsset.model_validate( + decamelize(v) + | { + "regular_market_day_range": ( + float(day_range_split[0]), + float(day_range_split[1]), + ), + "fifty_two_week_range": ( + float(fifty_two_week_range_split[0]), + float(fifty_two_week_range_split[1]), + ), + } + ) diff --git a/optionlab/utils.py b/optionlab/utils.py index a1c644e..4ffdf90 100644 --- a/optionlab/utils.py +++ b/optionlab/utils.py @@ -40,3 +40,13 @@ def get_nonbusiness_days( nonbusiness_days += 1 return nonbusiness_days + + +def get_fridays_date(weeks_until: int = 0) -> dt.date: + + current_date = dt.datetime.now() + + days_until_friday = 4 - current_date.weekday() + 7 + datetime = current_date + dt.timedelta(days=days_until_friday + weeks_until * 7) + + return datetime.date() diff --git a/poetry.lock b/poetry.lock index fd482dc..0c0f265 100644 --- a/poetry.lock +++ b/poetry.lock @@ -12,6 +12,18 @@ files = [ {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, ] +[[package]] +name = "appdirs" +version = "1.4.4" +description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"}, + {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"}, +] + [[package]] name = "asttokens" version = "2.4.1" @@ -31,6 +43,28 @@ six = ">=1.12.0" astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] +[[package]] +name = "beautifulsoup4" 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Finance API" +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "yfinance-0.2.37-py2.py3-none-any.whl", hash = "sha256:3ac75fa1cd3496ee76b6df5d63d29679487ea9447123c5b935d1593240737a8f"}, + {file = "yfinance-0.2.37.tar.gz", hash = "sha256:e5f78c9bd27bae7abfd0af9b7996620eaa9aba759d67f957296634d7d54f0cef"}, +] + +[package.dependencies] +appdirs = ">=1.4.4" +beautifulsoup4 = ">=4.11.1" +frozendict = ">=2.3.4" +html5lib = ">=1.1" +lxml = ">=4.9.1" +multitasking = ">=0.0.7" +numpy = ">=1.16.5" +pandas = ">=1.3.0" +peewee = ">=3.16.2" +pytz = ">=2022.5" +requests = ">=2.31" + +[package.extras] +nospam = ["requests-cache (>=1.0)", "requests-ratelimiter (>=0.3.1)"] +repair = ["scipy (>=1.6.3)"] + [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "655602e4ccbc2e358de8aea50a1bd0cec8738fc852a89a7d19a8573a322458b6" +content-hash = "5fdde0c80bf3d9bef9fe9321dc016a0a69e8bfd4feaa7ab15e81ee50f09a5ae8" diff --git a/pyproject.toml b/pyproject.toml index 50cc36f..0223274 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "optionlab" -version = "1.1.0" +version = "1.2.0" description = "Evaluate option strategies" authors = ["rgaveiga"] readme = "README.md" @@ -12,6 +12,8 @@ pandas = "^2.2.1" matplotlib = "^3.8.3" pydantic = "^2.6.3" holidays = "^0.44" +yfinance = "^0.2.37" +pyhumps = "^3.8.0" [tool.poetry.group.dev.dependencies] mypy = "^1.8.0" diff --git a/tests/test_api.py b/tests/test_api.py new file mode 100644 index 0000000..f3fd94c --- /dev/null +++ b/tests/test_api.py @@ -0,0 +1,31 @@ +import datetime as dt + +import pandas as pd + +from optionlab.api import get_options_chain, get_stock_history +from optionlab.models import UnderlyingAsset +from optionlab.utils import get_fridays_date + + +def test_get_options_chain(): + + next_friday_date = get_fridays_date() + + try: + options = get_options_chain("MSFT", next_friday_date) + except ValueError as err: + first_available_date = dt.datetime.strptime( + str(err).split("[")[1].split(", ")[0], "%Y-%m-%d" + ).date() + options = get_options_chain("MSFT", first_available_date) + + assert isinstance(options.calls, pd.DataFrame) + assert isinstance(options.puts, pd.DataFrame) + assert isinstance(options.underlying, UnderlyingAsset) + + +def test_get_stock_history(): + + hist_df = get_stock_history("MSFT", 1) + + assert isinstance(hist_df, pd.DataFrame)