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https://github.com/wilsonfreitas/awesome-quant.git
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wilsonfreitas
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<div class="expand-content">
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<p class="expand-desc">AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests.</p>
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<p class="expand-desc">Self-evolving trading strategies via genetic algorithm. 484 factors, walk-forward validation, MCP server for AI agents. Supports crypto, A-shares, and US stocks.</p>
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<div class="expand-links">
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<a href="https://github.com/NeuZhou/finclaw" target="_blank" rel="noopener">https://github.com/NeuZhou/finclaw</a>
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</div>
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<tr class="row" data-language="Python" data-category="Trading & Backtesting" data-sources="github" data-stars="48110">
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<tr class="row" data-language="Python" data-category="Trading & Backtesting" data-sources="github" data-stars="48111">
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<td class="col-num">90</td>
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<td class="col-name">
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<a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
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<span class="mobile-category">Trading & Backtesting</span>
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</td>
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<td class="col-stars"><span class="stars" title="48,110 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 48.1k</span></td>
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<td class="col-stars"><span class="stars" title="48,111 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 48.1k</span></td>
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<td class="col-update"><span class="last-update" title="Last commit: 2026-03-28">2026-03-28</span></td>
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<td class="col-tags">
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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</div>
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<tr class="row" data-language="Python" data-category="Trading & Backtesting" data-sources="github" data-stars="21468">
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<tr class="row" data-language="Python" data-category="Trading & Backtesting" data-sources="github" data-stars="21469">
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<td class="col-num">122</td>
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<td class="col-name">
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<a href="https://github.com/nautechsystems/nautilus_trader" target="_blank" rel="noopener">nautilus_trader</a>
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<span class="mobile-category">Trading & Backtesting</span>
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</td>
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<td class="col-stars"><span class="stars" title="21,468 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.5k</span></td>
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<td class="col-stars"><span class="stars" title="21,469 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.5k</span></td>
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<td class="col-update"><span class="last-update" title="Last commit: 2026-03-28">2026-03-28</span></td>
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<td class="col-tags">
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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+3
-3
@@ -81,14 +81,14 @@ pyqstrat,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,
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NowTrade,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-02-07,101,https://github.com/edouardpoitras/NowTrade,Python library for backtesting technical/mechanical strategies in the stock and currency markets.,True,False,False,False,edouardpoitras/NowTrade
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pinkfish,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-05-12,293,https://github.com/fja05680/pinkfish,A backtester and spreadsheet library for security analysis.,True,False,False,False,fja05680/pinkfish
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PRISM-INSIGHT,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-27,514,https://github.com/dragon1086/prism-insight,"AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets.",True,False,False,False,dragon1086/prism-insight
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FinClaw,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,20,https://github.com/NeuZhou/finclaw,"AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests.",True,False,False,False,NeuZhou/finclaw
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FinClaw,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,20,https://github.com/NeuZhou/finclaw,"Self-evolving trading strategies via genetic algorithm. 484 factors, walk-forward validation, MCP server for AI agents. Supports crypto, A-shares, and US stocks.",True,False,False,False,NeuZhou/finclaw
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aat,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-02,780,https://github.com/timkpaine/aat,Async Algorithmic Trading Engine,True,False,False,False,timkpaine/aat
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Backtesting.py,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://kernc.github.io/backtesting.py/,Backtest trading strategies in Python,False,False,False,False,
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catalyst,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-09-22,2554,https://github.com/enigmampc/catalyst,An Algorithmic Trading Library for Crypto-Assets in Python,True,False,False,False,enigmampc/catalyst
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quantstats,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,6903,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python",True,False,False,False,ranaroussi/quantstats
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qtpylib,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-03-24,2257,https://github.com/ranaroussi/qtpylib,"QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>",True,False,False,False,ranaroussi/qtpylib
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Quantdom,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,761,https://github.com/constverum/Quantdom,Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:],True,False,False,False,constverum/Quantdom
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freqtrade,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,48110,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot",True,False,False,False,freqtrade/freqtrade
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freqtrade,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,48111,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot",True,False,False,False,freqtrade/freqtrade
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algorithmic-trading-with-python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-06-01,3276,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python
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DeepDow,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-01-24,1122,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning,True,False,False,False,jankrepl/deepdow
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Qlib,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-10,39428,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
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@@ -120,7 +120,7 @@ hftbacktest,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesti
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vnpy,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,38496,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
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Intelligent Trading Bot,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,1651,https://github.com/asavinov/intelligent-trading-bot,Automatically generating signals and trading based on machine learning and feature engineering,True,False,False,False,asavinov/intelligent-trading-bot
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fastquant,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-15,1748,https://github.com/enzoampil/fastquant,fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.,True,False,False,False,enzoampil/fastquant
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nautilus_trader,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,21468,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
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nautilus_trader,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-28,21469,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
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YABTE,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-05-11,6,https://github.com/bsdz/yabte,Yet Another (Python) BackTesting Engine.,True,False,False,False,bsdz/yabte
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Trading Strategy,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-21,208,https://github.com/tradingstrategy-ai/getting-started,"TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance",True,False,False,False,tradingstrategy-ai/getting-started
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Hikyuu,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-25,3064,https://github.com/fasiondog/hikyuu,"A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination.",True,False,False,False,fasiondog/hikyuu
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