Awesome Systematic Trading

or Quantitative Trading + a bit data science infra

Star History

希望阅读中文版？点我

Interested in systematic trading? Check QuantBox

A curated list of awesome libraries, packages and resources for Systematic Trading (Quantitative Trading)

Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.

How do we pick the projects?

• Fit in Systematic Trading / Quantitative Trading domain
• Good coding style and software architecture
• (Optional) Under active development
• (Optional) Reasonable test coverage

Overall, I tend to pick decent or promising libraries that closely related to systematic trading instead of including as many libraries as possible.

Please raise a PR if you found some good fit projects for this repo or remove some outdated projects. Thanks!

Search page by languages you are interested in to find related libraries. For example: Ctrl+F, Rust

And I count crypto as whole new category: >> Click ME to Systematic Crypto.

• Awesome Systematic Trading
  • Star History
  • 🔥 AI Powered Systematic Trading Systems
  • Backtest + live trading
    • General purpose
    • Crypto currency focus
    • Machine Learning / Reinforcement Learning Focused
  • Alpha Collections
    • General Alpha
    • Expression based alpha
    • Stock picking
    • Orderbook
    • Arbitrage (Crypto)
  • Basic Components
    • Fundamental libraries
    • Computation
    • Python Performance Booster
    • Python Profilers
    • Alternative libraries
      • Numpy Alternatives
      • Pandas Alternatives
  • Analytic tools
    • Metrics computation
    • Indicators
    • Pricing
    • Risk
    • Optimization
    • TimeSeries Analysis
  • Visualization
  • Message Queues
  • Databases
  • Data Source
    • Stocks and General
    • Alternative
    • Crypto
  • Broker APIs
  • Quant Shops Code and Blog
  • Resources
    • Research
    • Books
    • Blogs
    • Tutorials
    • Courses
  • Relevant Projects

🔥 AI Powered Systematic Trading Systems

• DepthSight | Python TypeScript | - Self-hosted visual algo-trading platform featuring a drag-and-drop strategy builder, an AI co-pilot for automated strategy design, and integrated billing.
• TradeSight | Python | - AI-powered trading intelligence platform with automated strategy tournaments, multi-market scanning (stocks + prediction markets), 15+ technical indicators, paper trading, and web dashboard. Self-evolving strategies via overnight optimization cron.
• AI Hedge Fund | Python | - An AI Hedge Fund Team
• FinRL | Python | - FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.
• FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
• QLib (Microsoft) | Python, Cython | - Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
• Qbot | Python | - AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform.
• VARRD | Python | - AI-powered trading research platform that validates any trading idea with event studies, statistical tests, and real market data across 15,000+ instruments. CLI, Python SDK, and MCP server.
• InvicTrade - AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.
• BullBear | TypeScript | - Open-source AI agent stock trading battle platform. AI agents get $100K virtual cash, trade real US stock prices, and compete on a public leaderboard with social feed.
• FinClaw | Python | - AI-native quantitative finance engine with genetic algorithm strategy evolution. 484 built-in factors, walk-forward validation, multi-market support (A-shares, US, crypto). Strategies evolve themselves via GA — no manual parameter tuning needed.
• OpenFinClaw | TypeScript | - AI-native systematic trading framework. Natural language strategy generation, multi-market execution (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard. Built on OpenClaw (68K+ stars).
• StockKit (GitHub) | TypeScript | - Free AI-powered stock research reports delivered daily. Wall Street-grade analysis for US, China & HK stocks using Claude Opus and multi-model AI engine. 20+ technical indicators, automated email delivery.
• stock-analysis | Python | - Evidence-driven market recap CLI for A/HK/US stocks and funds, producing Markdown reports and JSON Evidence Packs for AI agent workfl