Topics / #options-trading

Options-trading projects on GitHub

Trading equity options with quantitative strategies.

As of , the most-starred Options-trading projects on GitHub are nautilus_trader (30.2K stars), abu (18.9K stars) and quant-trading (11K stars). GitHub.Locker tracks 5 Options-trading repositories with 74.7K stars combined. The fastest-growing on October 16 was nautilus_trader, with +104 stars in a day.

5Projects
74.7KStars in total
+146Stars in a day
Browse in the catalog →github.com/topics/options-trading ↗

Hot right now

Most stars gained in a day · Oct 16

+104

nautilus_trader

nautechsystems/nautilus_trader · ★ 30.2K

A production-grade algorithmic trading engine: a Rust-native event-driven core driven from Python. Backtesting and live trading share the same architecture and execution semantics, so strategies go from research to production without a rewrite.

+29

quant-trading

je-suis-tm/quant-trading · ★ 11K

This is a Python repository of quantitative trading strategies — a collection of standalone scripts implementing technical indicators, pattern recognition, options strategies and statistical arbitrage for backtesting on historical market data.

+7

StockSharp

StockSharp/StockSharp · ★ 10.9K

StockSharp (S#) is a free, open-source platform for trading on any market worldwide - crypto exchanges, stocks, futures, options, forex, and Bitcoin - supporting both manual and algorithmic trading, including high-frequency strategies.

+5

abu

bbfamily/abu · ★ 18.9K

This is 'abu' (阿布量化), an open-source Python framework for building, backtesting and running quantitative trading strategies across US/A-share/HK stocks, futures, options and cryptocurrencies like Bitcoin, using machine learning to optimize the strategies.

The all-time top

5 projects · by stars

  1. #1 · nautechsystems/nautilus_trader

    nautilus_trader

    A production-grade algorithmic trading engine: a Rust-native event-driven core driven from Python. Backtesting and live trading share the same architecture and execution semantics, so strategies go from research to production without a rewrite.

    30.2K
  2. #2 · bbfamily/abu

    abu

    This is 'abu' (阿布量化), an open-source Python framework for building, backtesting and running quantitative trading strategies across US/A-share/HK stocks, futures, options and cryptocurrencies like Bitcoin, using machine learning to optimize the strategies.

    18.9K
  3. #3 · je-suis-tm/quant-trading

    quant-trading

    This is a Python repository of quantitative trading strategies — a collection of standalone scripts implementing technical indicators, pattern recognition, options strategies and statistical arbitrage for backtesting on historical market data.

    11K
  1. 4

    StockSharp

    10.9KStockSharp/StockSharp · C#

    StockSharp (S#) is a free, open-source platform for trading on any market worldwide - crypto exchanges, stocks, futures, options, forex, and Bitcoin - supporting both manual and algorithmic trading, including high-frequency strategies.

  2. 5

    skills

    3.7KAlphaGBM/skills · Python

    AlphaGBM Skills is a collection of 29 open-source Skills that bring real-time market research workflows for stocks, options, commodities and digital assets into AI tools like Claude Code and Cursor.

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