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{"config":{"lang":["en"],"separator":"[\\s\\u200b\\u3000\\-\u3001\u3002\uff0c\uff0e\uff1f\uff01\uff1b]+","pipeline":["stemmer"],"fields":{"title":{"boost":1000.0},"text":{"boost":1.0},"tags":{"boost":1000000.0}}},"docs":[{"location":"","title":"Awesome Systematic Trading","text":"<p>or Quantitative Trading + a bit data science infra</p> <p> </p> <p> </p>"},{"location":"#star-history","title":"Star History","text":"<p>\u5e0c\u671b\u9605\u8bfb\u4e2d\u6587\u7248\uff1f\u70b9\u6211</p> <p>Interested in systematic trading? Check QuantBox</p> <p>A curated list of awesome libraries, packages and resources for Systematic Trading (Quantitative Trading)</p> <p>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.</p> <p>How do we pick the projects?</p> <ul> <li>Fit in Systematic Trading / Quantitative Trading domain</li> <li>Good coding style and software architecture</li> <li>(Optional) Under active development</li> <li>(Optional) Reasonable test coverage</li> </ul> <p>Overall, I tend to pick decent or promising libraries that closely related to systematic trading instead of including as many libraries as possible.</p> <p>Please raise a PR if you found some good fit projects for this repo or remove some outdated projects. Thanks!</p> <p>Search page by languages you are interested in to find related libraries. For example: <code>Ctrl+F</code>, <code>Rust</code></p> <p>And I count crypto as whole new category: >> Click ME to Systematic Crypto.</p> <ul> <li>Awesome Systematic Trading</li> <li>Star History</li> <li>\ud83d\udd25 AI Powered Systematic Trading Systems</li> <li>Backtest + live trading<ul> <li>General purpose</li> <li>Crypto currency focus</li> <li>Machine Learning / Reinforcement Learning Focused</li> </ul> </li> <li>Alpha Collections<ul> <li>General Alpha</li> <li>Expression based alpha</li> <li>Stock picking</li> <li>Orderbook</li> <li>Arbitrage (Crypto)</li> </ul> </li> <li>Basic Components<ul> <li>Fundamental libraries</li> <li>Computation</li> <li>Python Performance Booster</li> <li>Python Profilers</li> <li>Alternative libraries</li> <li>Numpy Alternatives</li> <li>Pandas Alternatives</li> </ul> </li> <li>Analytic tools<ul> <li>Metrics computation</li> <li>Indicators</li> <li>Pricing</li> <li>Risk</li> <li>Optimization</li> <li>TimeSeries Analysis</li> </ul> </li> <li>Visualization</li> <li>Message Queues</li> <li>Databases</li> <li>Data Source<ul> <li>Stocks and General</li> <li>Alternative</li> <li>Crypto</li> </ul> </li> <li>Broker APIs</li> <li>Quant Shops Code and Blog</li> <li>Resources<ul> <li>Research</li> <li>Books</li> <li>Blogs</li> <li>Tutorials</li> <li>Courses</li> </ul> </li> <li>Relevant Projects</li> </ul>"},{"location":"#ai-powered-systematic-trading-systems","title":"\ud83d\udd25 AI Powered Systematic Trading Systems","text":"<ul> <li>DepthSight | <code>Python</code> <code>TypeScript</code> | - Self-hosted visual algo-trading platform featuring a drag-and-drop strategy builder, an AI co-pilot for automated strategy design, and integrated billing.</li> <li>TradeSight | <code>Python</code> | - 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.</li> <li>AI Hedge Fund | <code>Python</code> | - An AI Hedge Fund Team</li> <li>FinRL | Python | - FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.</li> <li>FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize \ud83d\udd25 We release the trained model on HuggingFace.</li> <li>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,
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