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wilsonfreitas
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<p class="hero-subtitle">A curated list of insanely awesome libraries, packages and resources for Quants.</p>
<p class="hero-maintained">Maintained by <a href="https://github.com/wilsonfreitas">Wilson Freitas</a></p>
<div class="hero-stats">
<span class="stat"><strong>670</strong> projects</span>
<span class="stat"><strong>671</strong> projects</span>
<span class="stat-sep"></span>
<span class="stat"><strong>34</strong> languages</span>
</div>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53487">
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<td class="col-name">
<a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
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<td class="col-stars"><span class="stars" title="53,487 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> 53.5k</span></td>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="16059">
<td class="col-num">210</td>
<td class="col-name">
<a href="https://github.com/AI4Finance-LLC/FinRL-Library" target="_blank" rel="noopener">FinRL-Library</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
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<td class="col-stars"><span class="stars" title="16,060 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> 16.1k</span></td>
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<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="26873">
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<td class="col-name">
<a href="https://github.com/nautechsystems/nautilus_trader" target="_blank" rel="noopener">nautilus_trader</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
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<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43683">
<td class="col-num">257</td>
<td class="col-name">
<a href="https://github.com/ccxt/ccxt" target="_blank" rel="noopener">ccxt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
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<td colspan="6">
<div class="expand-content">
<p class="expand-desc">Unified financial data API covering market prices, fundamentals, disclosures, macroeconomic, and alternative data for long-horizon research and quantitative modeling. Free tier: 1,000 monthly API calls. [PyPI](https://pypi.org/project/axionquant-sdk/).</p>
<div class="expand-links">
<a href="https://axionquant.com" target="_blank" rel="noopener">https://axionquant.com</a>
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<a href="https://prop-firm-risk-calculator.vercel.app" target="_blank" rel="noopener">Prop Firm Risk Calculator</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-num">623</td>
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<a href="https://portfoliosavvy.com/" target="_blank" rel="noopener">PortfolioSavvy</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-num">630</td>
<td class="col-name">
<a href="https://earningsfeed.com/api" target="_blank" rel="noopener">Earnings Feed</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-num">633</td>
<td class="col-name">
<a href="https://financialdata.net/" target="_blank" rel="noopener">Financial Data</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-num">634</td>
<td class="col-name">
<a href="https://filingsflow.com" target="_blank" rel="noopener">Filings Flow</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<a href="https://agent-gateway-kappa.vercel.app" target="_blank" rel="noopener">Frostbyte</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-name">
<a href="https://www.developer.saxo/" target="_blank" rel="noopener">SaxoOpenAPI</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-name">
<a href="https://rtpr.io" target="_blank" rel="noopener">RTPR</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-num">638</td>
<td class="col-name">
<a href="https://data.nasdaq.com/tools/full-list" target="_blank" rel="noopener">Nasdaq Data Link</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-name">
<a href="https://portfoliooptimizer.io/" target="_blank" rel="noopener">Portfolio Optimizer</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<a href="https://tradestie.com/apps/reddit/api/" target="_blank" rel="noopener">Reddit WallstreetBets API</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-name">
<a href="https://systemr.ai/" target="_blank" rel="noopener">System R</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-name">
<a href="https://telonex.io" target="_blank" rel="noopener">Telonex</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<a href="https://www.valueray.com/api" target="_blank" rel="noopener">ValueRay</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<a href="https://vantagegrid.pro/" target="_blank" rel="noopener">VantageGrid</a>
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<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
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<td class="col-name">
<a href="https://vertdata.com" target="_blank" rel="noopener">VertData</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16760,7 +16785,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">645</td>
<td class="col-num">646</td>
<td class="col-name">
<a href="https://keeprule.com/" target="_blank" rel="noopener">KeepRule</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16785,7 +16810,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">646</td>
<td class="col-num">647</td>
<td class="col-name">
<a href="https://www.agenttoolbelt.live" target="_blank" rel="noopener">Agent Toolbelt</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16810,7 +16835,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">647</td>
<td class="col-num">648</td>
<td class="col-name">
<a href="https://www.ml-quant.com/" target="_blank" rel="noopener">ML-Quant</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16835,7 +16860,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">648</td>
<td class="col-num">649</td>
<td class="col-name">
<a href="https://realmarketapi.com/" target="_blank" rel="noopener">RealMarketAPI</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16860,7 +16885,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">649</td>
<td class="col-num">650</td>
<td class="col-name">
<a href="https://probalytics.io" target="_blank" rel="noopener">Probalytics</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16885,7 +16910,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">650</td>
<td class="col-num">651</td>
<td class="col-name">
<a href="https://www.sharpe.ai/" target="_blank" rel="noopener">Sharpe</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16910,7 +16935,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">651</td>
<td class="col-num">652</td>
<td class="col-name">
<a href="https://webb-database.com/" target="_blank" rel="noopener">Webb Database</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16935,7 +16960,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">652</td>
<td class="col-num">653</td>
<td class="col-name">
<a href="https://gitdealflow.com" target="_blank" rel="noopener">GitDealFlow</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16960,7 +16985,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">653</td>
<td class="col-num">654</td>
<td class="col-name">
<a href="https://docs.clearstreet.com/?utm_source=github&amp;utm_medium=developer&amp;utm_campaign=api_listings&amp;utm_content=awesome_quant" target="_blank" rel="noopener">Clear Street API</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -16985,7 +17010,7 @@
</td>
</tr>
<tr class="row" data-languages="TypeScript" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">654</td>
<td class="col-num">655</td>
<td class="col-name">
<a href="https://finterm.xyz" target="_blank" rel="noopener">Finterm</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17011,7 +17036,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">655</td>
<td class="col-num">656</td>
<td class="col-name">
<a href="https://coinugget.com" target="_blank" rel="noopener">Coinugget</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17036,7 +17061,7 @@
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Commercial &amp; Proprietary Services" data-sources="github commercial" data-stars="7">
<td class="col-num">656</td>
<td class="col-num">657</td>
<td class="col-name">
<a href="https://the-stall.intuitek.ai" target="_blank" rel="noopener">The Stall</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17063,7 +17088,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">657</td>
<td class="col-num">658</td>
<td class="col-name">
<a href="https://stingray.fi/" target="_blank" rel="noopener">Stingray</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17088,7 +17113,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">658</td>
<td class="col-num">659</td>
<td class="col-name">
<a href="https://neuportal.ai" target="_blank" rel="noopener">NeuPortal</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17113,7 +17138,7 @@
</td>
</tr>
<tr class="row" data-languages="REST" data-category="Commercial &amp; Proprietary Services" data-sources="github commercial" data-stars="0">
<td class="col-num">659</td>
<td class="col-num">660</td>
<td class="col-name">
<a href="https://alphaassay.com" target="_blank" rel="noopener">AlphaAssay</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17140,7 +17165,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">660</td>
<td class="col-num">661</td>
<td class="col-name">
<a href="https://marketpd.com" target="_blank" rel="noopener">Market Posture Daily</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17165,7 +17190,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">661</td>
<td class="col-num">662</td>
<td class="col-name">
<a href="https://whop.com/honest-backtest" target="_blank" rel="noopener">Honest Backtest</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17190,7 +17215,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">662</td>
<td class="col-num">663</td>
<td class="col-name">
<a href="https://streamxls.com" target="_blank" rel="noopener">StreamXLS</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17215,7 +17240,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="github commercial" data-stars="0">
<td class="col-num">663</td>
<td class="col-num">664</td>
<td class="col-name">
<a href="https://atlasyield.club" target="_blank" rel="noopener">AtlasYield</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17241,7 +17266,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">664</td>
<td class="col-num">665</td>
<td class="col-name">
<a href="https://katanascreener.com" target="_blank" rel="noopener">Katana</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17266,7 +17291,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">665</td>
<td class="col-num">666</td>
<td class="col-name">
<a href="https://www.disclosedcapitol.com/data-files/api" target="_blank" rel="noopener">Disclosed Capitol</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17291,7 +17316,7 @@
</td>
</tr>
<tr class="row" data-languages="REST MCP" data-category="Commercial &amp; Proprietary Services" data-sources="github commercial" data-stars="0">
<td class="col-num">666</td>
<td class="col-num">667</td>
<td class="col-name">
<a href="https://wealthville.net" target="_blank" rel="noopener">Wealthville</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17319,7 +17344,7 @@
</td>
</tr>
<tr class="row" data-languages="REST MCP" data-category="Commercial &amp; Proprietary Services" data-sources="github commercial" data-stars="0">
<td class="col-num">667</td>
<td class="col-num">668</td>
<td class="col-name">
<a href="https://shingou.io" target="_blank" rel="noopener">Shingou</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17347,7 +17372,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="commercial" data-stars="0">
<td class="col-num">668</td>
<td class="col-num">669</td>
<td class="col-name">
<a href="https://0xarchive.io" target="_blank" rel="noopener">0xArchive</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -17372,7 +17397,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="38">
<td class="col-num">669</td>
<td class="col-num">670</td>
<td class="col-name">
<a href="https://github.com/vibeyclaw/awesome-sec-filings" target="_blank" rel="noopener">awesome-sec-filings</a>
<span class="mobile-category">Related Lists</span>
@@ -17397,7 +17422,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="0">
<td class="col-num">670</td>
<td class="col-num">671</td>
<td class="col-name">
<a href="https://github.com/convexfi" target="_blank" rel="noopener">CONVEXFI</a>
<span class="mobile-category">Related Lists</span>
+5 -4
View File
@@ -200,7 +200,7 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-19,42,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-03-24,2268,https://github.com/ranaroussi/qtpylib,"QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>.",True,False,False,False,ranaroussi/qtpylib
Quantdom,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,773,https://github.com/constverum/Quantdom,Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.],True,False,False,False,constverum/Quantdom
freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-20,53488,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-20,53487,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
algorithmic-trading-with-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-06-01,3431,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
Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,47806,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
finlab,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-27,0,https://pypi.org/project/finlab/,"Python package for Taiwan stock market data, factor research, and vectorized backtesting with pandas-style strategy definitions.",False,False,True,False,
@@ -208,7 +208,7 @@ machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backt
AlphaPy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-24,1746,https://github.com/ScottfreeLLC/AlphaPy,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",True,False,False,False,ScottfreeLLC/AlphaPy
jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-19,8349,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse
rqalpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,6710,https://github.com/ricequant/rqalpha,"A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities.",True,False,False,False,ricequant/rqalpha
FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-12,16060,https://github.com/AI4Finance-LLC/FinRL-Library,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,True,False,False,False,AI4Finance-LLC/FinRL-Library
FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-12,16059,https://github.com/AI4Finance-LLC/FinRL-Library,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,True,False,False,False,AI4Finance-LLC/FinRL-Library
aurumq-rl,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-19,39,https://github.com/yupoet/aurumq-rl,"Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference.",True,False,False,False,yupoet/aurumq-rl
bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2320,https://github.com/achillesrasquinha/bulbea,Deep Learning based Python Library for Stock Market Prediction and Modelling.,True,False,False,False,achillesrasquinha/bulbea
ib_nope,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-22,33,https://github.com/ajhpark/ib_nope,Automated trading system for NOPE strategy over IBKR TWS.,True,False,False,False,ajhpark/ib_nope
@@ -230,7 +230,7 @@ flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtest
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-06,44657,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
Intelligent Trading Bot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-11,1854,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
fastquant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-15,1754,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
nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-20,26872,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-20,26873,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
NoEdge-Bench,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-07,0,https://github.com/nexusfinancial-dev/noedge-bench,"Reproducible negative-result benchmark: no model beats a memoryless synthetic binary-options feed (AUC ≈ 0.50), with permutation-null tests and a look-ahead-leak case study.",True,False,False,False,nexusfinancial-dev/noedge-bench
YABTE,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-05-11,7,https://github.com/bsdz/yabte,Yet Another (Python) BackTesting Engine.,True,False,False,False,bsdz/yabte
Trading Strategy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-12,244,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
@@ -255,7 +255,7 @@ PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtes
Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-05,21,https://github.com/rbeeli/Fastback.jl,Blazing fast Julia backtester.,True,False,False,False,rbeeli/Fastback.jl
Lucky.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-25,29,https://github.com/oliviermilla/Lucky.jl,"Modular, asynchronous trading engine in pure Julia.",True,False,False,False,oliviermilla/Lucky.jl
Strategems.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-06,167,https://github.com/dysonance/Strategems.jl,Quantitative systematic trading strategy development and backtesting.,True,False,False,False,dysonance/Strategems.jl
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-21,43684,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-21,43683,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
binance-fix-connector-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-26,1,https://github.com/AlexanderMerkel/binance-fix-connector-python,"Async Python connector for Binance Spot FIX sessions with Order Entry, Market Data, and Drop Copy support.",True,False,False,False,AlexanderMerkel/binance-fix-connector-python
Jiji,Ruby,Ruby,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-01-22,249,https://github.com/unageanu/jiji2,Open Source Forex algorithmic trading framework using OANDA REST API.,True,False,False,False,unageanu/jiji2
Tai,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-06,498,https://github.com/fremantle-capital/tai,"Open Source composable, real time, market data and trade execution toolkit.",True,False,False,False,fremantle-capital/tai
@@ -611,6 +611,7 @@ AlgoTradingLib,,,"Reproducing Works, Training & Books","Reproducing Works, Train
Portfolio Optimization Book,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-02-17,27,https://portfoliooptimizationbook.com/,Prof. Daniel Palomar's Portfolio Optimization Book. [GitHub](https://github.com/dppalomar/pob),True,False,False,False,dppalomar/pob
direct_vola,Python,"Python,R","Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-05-01,6,https://github.com/wol-fi/direct_vola,Demo code for direct Black-Scholes implied-volatility calculation from normalized call prices via the inverse-Gaussian quantile representation.,True,False,False,False,wol-fi/direct_vola
TradeMux Snippets,Python,Python,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-06-05,0,https://github.com/KVignesh122/trademux-examples,Code snippets for Metatrader (MT5) forex/CFD trading and data retrieval via trademux API client.,True,False,False,False,KVignesh122/trademux-examples
AxionQuant,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://axionquant.com,"Unified financial data API covering market prices, fundamentals, disclosures, macroeconomic, and alternative data for long-horizon research and quantitative modeling. Free tier: 1,000 monthly API calls. [PyPI](https://pypi.org/project/axionquant-sdk/)",False,False,False,True,
Prop Firm Risk Calculator,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://prop-firm-risk-calculator.vercel.app,"Free web app for position sizing, stop-loss and max-drawdown on funded accounts, with real tick/pip values for futures, forex, crypto and gold.",False,False,False,True,
AlphaForge,Python,Python,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,2026-07-21,1,https://alforgelabs.com,"Local-first agent-native quant CLI with Optuna TPE optimization, walk-forward testing, anti-overfitting guards, and TradingView Pine v6 code generation. Free trial available. [GitHub](https://github.com/alforge-labs/alpha-forge-mcp)",True,False,False,True,alforge-labs/alpha-forge-mcp
TradeMux,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://trademux.io,"Unified forex trading API gateway to Metatrader (MT4/MT5), Oanda and cTrader.",False,False,False,True,
1 project language languages category section section_slug last_commit stars url description github cran pypi commercial repo
200 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-19 42 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
201 qtpylib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-03-24 2268 https://github.com/ranaroussi/qtpylib QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>. True False False False ranaroussi/qtpylib
202 Quantdom Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-12 773 https://github.com/constverum/Quantdom Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.] True False False False constverum/Quantdom
203 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-20 53488 53487 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
204 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3431 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
205 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 47806 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
206 finlab Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-27 0 https://pypi.org/project/finlab/ Python package for Taiwan stock market data, factor research, and vectorized backtesting with pandas-style strategy definitions. False False True False
208 AlphaPy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-08-24 1746 https://github.com/ScottfreeLLC/AlphaPy Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost. True False False False ScottfreeLLC/AlphaPy
209 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-19 8349 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
210 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 6710 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
211 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-12 16060 16059 https://github.com/AI4Finance-LLC/FinRL-Library A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. True False False False AI4Finance-LLC/FinRL-Library
212 aurumq-rl Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-19 39 https://github.com/yupoet/aurumq-rl Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference. True False False False yupoet/aurumq-rl
213 bulbea Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-03-19 2320 https://github.com/achillesrasquinha/bulbea Deep Learning based Python Library for Stock Market Prediction and Modelling. True False False False achillesrasquinha/bulbea
214 ib_nope Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-04-22 33 https://github.com/ajhpark/ib_nope Automated trading system for NOPE strategy over IBKR TWS. True False False False ajhpark/ib_nope
230 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-06 44657 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
231 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-11 1854 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
232 fastquant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-15 1754 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
233 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-20 26872 26873 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
234 NoEdge-Bench Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-07 0 https://github.com/nexusfinancial-dev/noedge-bench Reproducible negative-result benchmark: no model beats a memoryless synthetic binary-options feed (AUC ≈ 0.50), with permutation-null tests and a look-ahead-leak case study. True False False False nexusfinancial-dev/noedge-bench
235 YABTE Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-05-11 7 https://github.com/bsdz/yabte Yet Another (Python) BackTesting Engine. True False False False bsdz/yabte
236 Trading Strategy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-12 244 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
255 Fastback.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-05 21 https://github.com/rbeeli/Fastback.jl Blazing fast Julia backtester. True False False False rbeeli/Fastback.jl
256 Lucky.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-25 29 https://github.com/oliviermilla/Lucky.jl Modular, asynchronous trading engine in pure Julia. True False False False oliviermilla/Lucky.jl
257 Strategems.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2021-04-06 167 https://github.com/dysonance/Strategems.jl Quantitative systematic trading strategy development and backtesting. True False False False dysonance/Strategems.jl
258 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-21 43684 43683 https://github.com/ccxt/ccxt A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges. True False False False ccxt/ccxt
259 binance-fix-connector-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-26 1 https://github.com/AlexanderMerkel/binance-fix-connector-python Async Python connector for Binance Spot FIX sessions with Order Entry, Market Data, and Drop Copy support. True False False False AlexanderMerkel/binance-fix-connector-python
260 Jiji Ruby Ruby Trading & Backtesting Trading & Backtesting trading-backtesting 2019-01-22 249 https://github.com/unageanu/jiji2 Open Source Forex algorithmic trading framework using OANDA REST API. True False False False unageanu/jiji2
261 Tai Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-06 498 https://github.com/fremantle-capital/tai Open Source composable, real time, market data and trade execution toolkit. True False False False fremantle-capital/tai
611 Portfolio Optimization Book Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-02-17 27 https://portfoliooptimizationbook.com/ Prof. Daniel Palomar's Portfolio Optimization Book. [GitHub](https://github.com/dppalomar/pob) True False False False dppalomar/pob
612 direct_vola Python Python,R Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-05-01 6 https://github.com/wol-fi/direct_vola Demo code for direct Black-Scholes implied-volatility calculation from normalized call prices via the inverse-Gaussian quantile representation. True False False False wol-fi/direct_vola
613 TradeMux Snippets Python Python Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-06-05 0 https://github.com/KVignesh122/trademux-examples Code snippets for Metatrader (MT5) forex/CFD trading and data retrieval via trademux API client. True False False False KVignesh122/trademux-examples
614 AxionQuant Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://axionquant.com Unified financial data API covering market prices, fundamentals, disclosures, macroeconomic, and alternative data for long-horizon research and quantitative modeling. Free tier: 1,000 monthly API calls. [PyPI](https://pypi.org/project/axionquant-sdk/) False False False True
615 Prop Firm Risk Calculator Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://prop-firm-risk-calculator.vercel.app Free web app for position sizing, stop-loss and max-drawdown on funded accounts, with real tick/pip values for futures, forex, crypto and gold. False False False True
616 AlphaForge Python Python Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 2026-07-21 1 https://alforgelabs.com Local-first agent-native quant CLI with Optuna TPE optimization, walk-forward testing, anti-overfitting guards, and TradingView Pine v6 code generation. Free trial available. [GitHub](https://github.com/alforge-labs/alpha-forge-mcp) True False False True alforge-labs/alpha-forge-mcp
617 TradeMux Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://trademux.io Unified forex trading API gateway to Metatrader (MT4/MT5), Oanda and cTrader. False False False True