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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>536</strong> projects</span>
<span class="stat"><strong>537</strong> projects</span>
<span class="stat-sep"></span>
<span class="stat"><strong>21</strong> languages</span>
</div>
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</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="9594">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="9595">
<td class="col-num">8</td>
<td class="col-name">
<a href="https://docs.pymc.io/" target="_blank" rel="noopener">pymc3</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="9,594 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> 9.6k</span></td>
<td class="col-stars"><span class="stars" title="9,595 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> 9.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -401,13 +401,13 @@
</div>
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<tr class="row" data-languages="R" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="3878">
<tr class="row" data-languages="R" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="3879">
<td class="col-num">13</td>
<td class="col-name">
<a href="https://github.com/Rdatatable/data.table" target="_blank" rel="noopener">data.table</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="3,878 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> 3.9k</span></td>
<td class="col-stars"><span class="stars" title="3,879 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> 3.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="R">r</button>
@@ -2811,13 +2811,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="5019">
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="5020">
<td class="col-num">106</td>
<td class="col-name">
<a href="https://github.com/bukosabino/ta" target="_blank" rel="noopener">ta</a>
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="5,019 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> 5k</span></td>
<td class="col-stars"><span class="stars" title="5,020 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> 5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-18">2026-03-18</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3045,13 +3045,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Java" data-category="Technical Indicators" data-sources="github" data-stars="2412">
<tr class="row" data-languages="Java" data-category="Technical Indicators" data-sources="github" data-stars="2413">
<td class="col-num">115</td>
<td class="col-name">
<a href="https://github.com/ta4j/ta4j" target="_blank" rel="noopener">ta4j</a>
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="2,412 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> 2.4k</span></td>
<td class="col-stars"><span class="stars" title="2,413 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> 2.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-13">2026-04-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Java">java</button>
@@ -3357,13 +3357,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2585">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2605">
<td class="col-num">127</td>
<td class="col-name">
<a href="https://github.com/HKUDS/Vibe-Trading" target="_blank" rel="noopener">Vibe-Trading</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="2,585 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> 2.6k</span></td>
<td class="col-stars"><span class="stars" title="2,605 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> 2.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-21">2026-04-21</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3461,13 +3461,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1364">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1365">
<td class="col-num">131</td>
<td class="col-name">
<a href="https://github.com/Lumiwealth/lumibot" target="_blank" rel="noopener">Lumibot</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,364 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> 1.4k</span></td>
<td class="col-stars"><span class="stars" title="1,365 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> 1.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3695,13 +3695,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21258">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21259">
<td class="col-num">140</td>
<td class="col-name">
<a href="https://github.com/backtrader/backtrader" target="_blank" rel="noopener">backtrader</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="21,258 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> 21.3k</span></td>
<td class="col-stars"><span class="stars" title="21,259 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> 21.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2023-04-19">2023-04-19</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4370,13 +4370,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49367">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49369">
<td class="col-num">166</td>
<td class="col-name">
<a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="49,367 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> 49.4k</span></td>
<td class="col-stars"><span class="stars" title="49,369 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> 49.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4422,13 +4422,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41243">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41245">
<td class="col-num">168</td>
<td class="col-name">
<a href="https://github.com/microsoft/qlib" target="_blank" rel="noopener">Qlib</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="41,243 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> 41.2k</span></td>
<td class="col-stars"><span class="stars" title="41,245 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> 41.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4552,13 +4552,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="14912">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="14914">
<td class="col-num">173</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>
</td>
<td class="col-stars"><span class="stars" title="14,912 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> 14.9k</span></td>
<td class="col-stars"><span class="stars" title="14,914 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> 14.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-05">2026-04-05</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4630,13 +4630,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="5787">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="5789">
<td class="col-num">176</td>
<td class="col-name">
<a href="https://github.com/Drakkar-Software/OctoBot" target="_blank" rel="noopener">OctoBot</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="5,787 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> 5.8k</span></td>
<td class="col-stars"><span class="stars" title="5,789 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> 5.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-29">2026-03-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4839,13 +4839,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18604">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18607">
<td class="col-num">184</td>
<td class="col-name">
<a href="https://github.com/QuantConnect/Lean" target="_blank" rel="noopener">Lean</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="18,604 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> 18.6k</span></td>
<td class="col-stars"><span class="stars" title="18,607 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> 18.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5100,13 +5100,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22259">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22261">
<td class="col-num">194</td>
<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>
</td>
<td class="col-stars"><span class="stars" title="22,259 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> 22.3k</span></td>
<td class="col-stars"><span class="stars" title="22,261 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> 22.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -6041,13 +6041,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18604">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18607">
<td class="col-num">230</td>
<td class="col-name">
<a href="https://github.com/QuantConnect/Lean" target="_blank" rel="noopener">QuantConnect</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="18,604 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> 18.6k</span></td>
<td class="col-stars"><span class="stars" title="18,607 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> 18.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6067,13 +6067,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9786">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9787">
<td class="col-num">231</td>
<td class="col-name">
<a href="https://github.com/StockSharp/StockSharp" target="_blank" rel="noopener">StockSharp</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="9,786 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> 9.8k</span></td>
<td class="col-stars"><span class="stars" title="9,787 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> 9.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6277,13 +6277,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="5668">
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="5669">
<td class="col-num">239</td>
<td class="col-name">
<a href="https://github.com/robertmartin8/PyPortfolioOpt" target="_blank" rel="noopener">PyPortfolioOpt</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="5,668 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> 5.7k</span></td>
<td class="col-stars"><span class="stars" title="5,669 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> 5.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-10">2026-03-10</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -6797,13 +6797,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="588">
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="589">
<td class="col-num">259</td>
<td class="col-name">
<a href="https://github.com/stefan-jansen/pyfolio-reloaded" target="_blank" rel="noopener">pyfolio-reloaded</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="588 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> 588</span></td>
<td class="col-stars"><span class="stars" title="589 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> 589</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-06-02">2025-06-02</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -7134,13 +7134,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8251">
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8254">
<td class="col-num">272</td>
<td class="col-name">
<a href="https://github.com/ghostfolio/ghostfolio" target="_blank" rel="noopener">Ghostfolio</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="8,251 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> 8.3k</span></td>
<td class="col-stars"><span class="stars" title="8,254 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> 8.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -8147,13 +8147,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66498">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66500">
<td class="col-num">311</td>
<td class="col-name">
<a href="https://github.com/OpenBB-finance/OpenBBTerminal" target="_blank" rel="noopener">OpenBB Terminal</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="66,498 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> 66.5k</span></td>
<td class="col-stars"><span class="stars" title="66,500 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> 66.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8173,13 +8173,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="14816">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="14836">
<td class="col-num">312</td>
<td class="col-name">
<a href="https://github.com/Fincept-Corporation/FinceptTerminal" target="_blank" rel="noopener">Fincept Terminal</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="14,816 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> 14.8k</span></td>
<td class="col-stars"><span class="stars" title="14,836 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> 14.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-24">2026-04-24</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8199,13 +8199,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="23206">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="23207">
<td class="col-num">313</td>
<td class="col-name">
<a href="https://github.com/ranaroussi/yfinance" target="_blank" rel="noopener">yfinance</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="23,206 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> 23.2k</span></td>
<td class="col-stars"><span class="stars" title="23,207 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> 23.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9551,13 +9551,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="18565">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="18566">
<td class="col-num">365</td>
<td class="col-name">
<a href="https://github.com/jindaxiang/akshare" target="_blank" rel="noopener">akshare</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="18,565 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> 18.6k</span></td>
<td class="col-stars"><span class="stars" title="18,566 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> 18.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -10199,13 +10199,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2052">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2053">
<td class="col-num">390</td>
<td class="col-name">
<a href="https://github.com/dgunning/edgartools" target="_blank" rel="noopener">edgartools</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="2,052 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> 2.1k</span></td>
<td class="col-stars"><span class="stars" title="2,053 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> 2.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-24">2026-04-24</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -13070,13 +13070,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="3800">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="3801">
<td class="col-num">503</td>
<td class="col-name">
<a href="https://github.com/shashankvemuri/Finance" target="_blank" rel="noopener">Finance</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="3,800 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> 3.8k</span></td>
<td class="col-stars"><span class="stars" title="3,801 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> 3.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-05-12">2025-05-12</span></td>
<td class="col-tags">
<button class="tag tag-section" data-filter-type="category" data-filter-value="Reproducing Works, Training &amp; Books">reproducing-works-training-books</button>
@@ -13844,8 +13844,32 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="17">
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
<td class="col-num">535</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>
</td>
<td class="col-stars"></td>
<td class="col-update"></td>
<td class="col-tags">
<button class="tag tag-section" data-filter-type="category" data-filter-value="Commercial &amp; Proprietary Services">commercial-proprietary-services</button>
</td>
<td class="col-arrow"><span class="arrow">&#8250;</span></td>
</tr>
<tr class="expand-row" hidden>
<td colspan="6">
<div class="expand-content">
<p class="expand-desc">Alternative-data signal platform ranking early-stage private companies by GitHub stars-per-day, hiring velocity, and package-registry adoption. Free weekly signal report, Chrome extension overlay on Crunchbase/AngelList, and MCP server on npm for LLM agent access.</p>
<div class="expand-links">
<a href="https://gitdealflow.com" target="_blank" rel="noopener">https://gitdealflow.com</a>
</div>
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="17">
<td class="col-num">536</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>
@@ -13870,7 +13894,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="0">
<td class="col-num">536</td>
<td class="col-num">537</td>
<td class="col-name">
<a href="https://github.com/convexfi" target="_blank" rel="noopener">CONVEXFI</a>
<span class="mobile-category">Related Lists</span>
projects.csv
+25 -24
View File
@@ -6,12 +6,12 @@ polars,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries &
quantdsl,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2017-10-26,378,https://github.com/johnbywater/quantdsl,Domain specific language for quantitative analytics in finance and trading.,True,False,False,False,johnbywater/quantdsl
statistics,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,,0,https://docs.python.org/3/library/statistics.html,Builtin Python library for all basic statistical calculations.,False,False,False,False,
sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-17,14582,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
pymc3,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-23,9594,https://docs.pymc.io/,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc),True,False,False,False,pymc-devs/pymc
pymc3,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-23,9595,https://docs.pymc.io/,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc),True,False,False,False,pymc-devs/pymc
modelx,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-18,127,https://docs.modelx.io/,Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx),True,False,False,False,fumitoh/modelx
ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-24,2257,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
CRNG,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-12,5,https://github.com/brotto/crng,"Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy.",True,False,False,False,brotto/crng
xts,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-02-27,223,https://github.com/joshuaulrich/xts,"eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.",True,False,False,False,joshuaulrich/xts
data.table,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-23,3878,https://github.com/Rdatatable/data.table,"Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.",True,False,False,False,Rdatatable/data.table
data.table,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-23,3879,https://github.com/Rdatatable/data.table,"Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.",True,False,False,False,Rdatatable/data.table
sparseEigen,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2018-12-22,12,https://github.com/dppalomar/sparseEigen,Sparse principal component analysis.,True,False,False,False,dppalomar/sparseEigen
TSdbi,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,,0,http://tsdbi.r-forge.r-project.org/,Provides a common interface to time series databases.,False,False,False,False,
tseries,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-03-26,0,https://cran.r-project.org/web/packages/tseries/index.html,Time Series Analysis and Computational Finance.,False,True,False,False,
@@ -104,7 +104,7 @@ lppls,Python,Python,Technical Indicators,Technical Indicators,technical-indicato
talipp,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2025-09-09,526,https://github.com/nardew/talipp,Incremental technical analysis library for Python.,True,False,False,False,nardew/talipp
streaming_indicators,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2025-04-27,151,https://github.com/mr-easy/streaming_indicators,A python library for computing technical analysis indicators on streaming data.,True,False,False,False,mr-easy/streaming_indicators
TA-Lib,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-16,11906,https://github.com/mrjbq7/ta-lib,Python wrapper for TA-Lib (<http://ta-lib.org/>).,True,False,False,False,mrjbq7/ta-lib
ta,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-18,5019,https://github.com/bukosabino/ta,Technical Analysis Library using Pandas (Python).,True,False,False,False,bukosabino/ta
ta,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-18,5020,https://github.com/bukosabino/ta,Technical Analysis Library using Pandas (Python).,True,False,False,False,bukosabino/ta
bta-lib,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2020-03-11,499,https://github.com/mementum/bta-lib,Technical Analysis library in pandas for backtesting algotrading and quantitative analysis.,True,False,False,False,mementum/bta-lib
TuneTA,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2023-10-13,461,https://github.com/jmrichardson/tuneta,TuneTA optimizes technical indicators using a distance correlation measure to a user defined target feature such as next day return.,True,False,False,False,jmrichardson/tuneta
TTR,R,R,Technical Indicators,Technical Indicators,technical-indicators,2026-02-28,343,https://github.com/joshuaulrich/TTR,Technical Trading Rules.,True,False,False,False,joshuaulrich/TTR
@@ -113,7 +113,7 @@ Indicators.jl,Julia,Julia,Technical Indicators,Technical Indicators,technical-in
TechnicalIndicatorCharts.jl,Julia,Julia,Technical Indicators,Technical Indicators,technical-indicators,2026-04-20,7,https://github.com/g-gundam/TechnicalIndicatorCharts.jl,Visualize OnlineTechnicalIndicators.jl using LightweightCharts.jl.,True,False,False,False,g-gundam/TechnicalIndicatorCharts.jl
MarketTechnicals.jl,Julia,Julia,Technical Indicators,Technical Indicators,technical-indicators,2021-07-12,130,https://github.com/JuliaQuant/MarketTechnicals.jl,Technical analysis of financial time series on top of TimeSeries.,True,False,False,False,JuliaQuant/MarketTechnicals.jl
OnlineTechnicalIndicators.jl,Julia,Julia,Technical Indicators,Technical Indicators,technical-indicators,2026-04-13,33,https://github.com/femtotrader/OnlineTechnicalIndicators.jl,Julia Technical Analysis Indicators via online algorithms.,True,False,False,False,femtotrader/OnlineTechnicalIndicators.jl
ta4j,Java,Java,Technical Indicators,Technical Indicators,technical-indicators,2026-04-13,2412,https://github.com/ta4j/ta4j,A Java library for technical analysis.,True,False,False,False,ta4j/ta4j
ta4j,Java,Java,Technical Indicators,Technical Indicators,technical-indicators,2026-04-13,2413,https://github.com/ta4j/ta4j,A Java library for technical analysis.,True,False,False,False,ta4j/ta4j
IndicatorTS,JavaScript,JavaScript,Technical Indicators,Technical Indicators,technical-indicators,2026-04-20,434,https://github.com/cinar/indicatorts,"Indicator is a TypeScript module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.",True,False,False,False,cinar/indicatorts
chart-patterns,JavaScript,JavaScript,Technical Indicators,Technical Indicators,technical-indicators,error,0,https://github.com/focus1691/chart-patterns,"Technical analysis library for Market Profile, Volume Profile, Stacked Imbalances and High Volume Node indicators.",True,False,False,False,focus1691/chart-patterns
orderflow,JavaScript,JavaScript,Technical Indicators,Technical Indicators,technical-indicators,2025-03-31,67,https://github.com/focus1691/orderflow,Orderflow trade aggregator for building Footprint Candles from exchange websocket data.,True,False,False,False,focus1691/orderflow
@@ -125,11 +125,11 @@ income-desk,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-ba
AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,3,https://github.com/demandai/ai-quant-agents,"Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares.",True,False,False,False,demandai/ai-quant-agents
TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-20,64,https://github.com/rmbell09-lang/tradesight,"Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca.",True,False,False,False,rmbell09-lang/tradesight
Orallexa,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-24,27,https://github.com/alex-jb/orallexa-ai-trading-agent,"AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests.",True,False,False,False,alex-jb/orallexa-ai-trading-agent
Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,2585,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,2605,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
DeepAlpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-24,3,https://deepalphabot.com,"AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy on out-of-sample data, LightGBM + XGBoost ensemble with 72 ML features. [GitHub](https://github.com/stefanoviana/deepalpha)",True,False,False,False,stefanoviana/deepalpha
the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,230,https://github.com/alexanderwanyoike/the0,"Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.",True,False,False,False,alexanderwanyoike/the0
Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-24,947,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework
Lumibot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,1364,https://github.com/Lumiwealth/lumibot,"Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab.",True,False,False,False,Lumiwealth/lumibot
Lumibot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,1365,https://github.com/Lumiwealth/lumibot,"Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab.",True,False,False,False,Lumiwealth/lumibot
QSTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-24,3350,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
Blankly,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-30,2426,https://github.com/Blankly-Finance/Blankly,"Fully integrated backtesting, paper trading, and live deployment.",True,False,False,False,Blankly-Finance/Blankly
zipline,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2020-10-14,19678,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
@@ -138,7 +138,7 @@ QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,
quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,66,https://github.com/jeffrey-liang/quantitative,"Quantitative finance, and backtesting library.",True,False,False,False,jeffrey-liang/quantitative
analyzer,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2015-12-22,215,https://github.com/llazzaro/analyzer,Python framework for real-time financial and backtesting trading strategies.,True,False,False,False,llazzaro/analyzer
bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,2853,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,21258,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,21259,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
pythalesians,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-09-23,63,https://github.com/thalesians/pythalesians,"Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc.",True,False,False,False,thalesians/pythalesians
pybacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-09-09,821,https://github.com/ematvey/pybacktest,"Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier.",True,False,False,False,ematvey/pybacktest
pyalgotrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-05,4651,https://github.com/gbeced/pyalgotrade,Python Algorithmic Trading Library.,True,False,False,False,gbeced/pyalgotrade
@@ -164,17 +164,17 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,28,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,2021-03-24,2257,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,2019-03-12,764,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,2026-04-25,49367,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,2026-04-25,49369,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,2021-06-01,3343,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,2026-04-22,41243,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
Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,41245,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
machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-05,17151,https://github.com/stefan-jansen/machine-learning-for-trading,Code and resources for Machine Learning for Algorithmic Trading.,True,False,False,False,stefan-jansen/machine-learning-for-trading
AlphaPy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-24,1720,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,2026-04-09,7784,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,2026-04-15,6323,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,2026-04-05,14912,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,2026-04-05,14914,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
bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2279,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
OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-29,5787,https://github.com/Drakkar-Software/OctoBot,"Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.",True,False,False,False,Drakkar-Software/OctoBot
OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-29,5789,https://github.com/Drakkar-Software/OctoBot,"Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.",True,False,False,False,Drakkar-Software/OctoBot
OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,error,0,https://github.com/cryptoSUN2049/openFinclaw,"AI-native hedge fund platform: natural language strategy generation, Rust backtesting engine, multi-market execution, and self-evolving strategy pipeline with community leaderboard.",True,False,False,False,cryptoSUN2049/openFinclaw
Stock-Prediction-Models,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-01-05,9323,https://github.com/huseinzol05/Stock-Prediction-Models,Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations.,True,False,False,False,huseinzol05/Stock-Prediction-Models
AutoTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-05-04,1245,https://github.com/kieran-mackle/AutoTrader,A Python-based development platform for automated trading systems - from backtesting to optimization to livetrading.,True,False,False,False,kieran-mackle/AutoTrader
@@ -182,7 +182,7 @@ fast-trade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
qf-lib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-07,925,https://github.com/quarkfin/qf-lib,QF-Lib is a Python library that provides high quality tools for quantitative finance.,True,False,False,False,quarkfin/qf-lib
tda-api,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-16,1314,https://github.com/alexgolec/tda-api,"Gather data and trade equities, options, and ETFs via TDAmeritrade.",True,False,False,False,alexgolec/tda-api
vectorbt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,7282,https://github.com/polakowo/vectorbt,"Find your trading edge, using a powerful toolkit for backtesting, algorithmic trading, and research.",True,False,False,False,polakowo/vectorbt
Lean,Python,"Python,C#",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,18604,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
Lean,Python,"Python,C#",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,18607,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
pysystemtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-02,3273,https://github.com/robcarver17/pysystemtrade,"pysystemtrade is the open source version of Robert Carver's backtesting and trading engine that implements systems according to the framework outlined in his book ""Systematic Trading"", which is further developed on his [blog](https://qoppac.blogspot.com/).",True,False,False,False,robcarver17/pysystemtrade
pytrendseries,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-04,163,https://github.com/rafa-rod/pytrendseries,"Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.",True,False,False,False,rafa-rod/pytrendseries
PyLOB,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-01-01,200,https://github.com/DrAshBooth/PyLOB,Fully functioning fast Limit Order Book written in Python.,True,False,False,False,DrAshBooth/PyLOB
@@ -192,7 +192,7 @@ hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-ba
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,39840,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,2026-04-25,1669,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,2023-09-15,1752,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,2026-04-25,22259,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,2026-04-25,22261,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
YABTE,Python,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
Trading Strategy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-21,215,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
Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,3098,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
@@ -228,8 +228,8 @@ Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-b
OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-11,137,https://github.com/PIYUSH-KUMAR1809/order-matching-engine,"A production-grade, lock-free, high-frequency trading matching engine achieving 150M+ orders/sec.",True,False,False,False,PIYUSH-KUMAR1809/order-matching-engine
PandoraTrader,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-07-29,1387,https://github.com/pegasusTrader/PandoraTrader,"A C++ CTP trading framework, with very clear logic.",True,False,False,False,pegasusTrader/PandoraTrader
NexusFix,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,48,https://github.com/SilverstreamsAI/NexusFix,"C++23 FIX protocol engine with zero-copy parsing and SIMD acceleration, 3x faster than QuickFIX.",True,False,False,False,SilverstreamsAI/NexusFix
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,18604,https://github.com/QuantConnect/Lean,Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage.,True,False,False,False,QuantConnect/Lean
StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,9786,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,18607,https://github.com/QuantConnect/Lean,Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage.,True,False,False,False,QuantConnect/Lean
StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,9787,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
TDAmeritrade.DotNetCore,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-10,57,https://github.com/NVentimiglia/TDAmeritrade.DotNetCore,"Free, open-source .NET Client for the TD Ameritrade Trading Platform. Helps developers integrate TD Ameritrade API into custom trading solutions.",True,False,False,False,NVentimiglia/TDAmeritrade.DotNetCore
Barter,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,2092,https://github.com/barter-rs/barter-rs,Open-source Rust framework for building event-driven live-trading & backtesting systems.,True,False,False,False,barter-rs/barter-rs
LFEST,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-07,77,https://github.com/MathisWellmann/lfest-rs,Simulated perpetual futures exchange to trade your strategy against.,True,False,False,False,MathisWellmann/lfest-rs
@@ -237,7 +237,7 @@ OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,tra
Sextant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,0,https://github.com/raphaub-hub/SEXTANT,"Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support.",True,False,False,False,raphaub-hub/SEXTANT
TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,20,https://github.com/naimkatiman/tradeclaw,"Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))",True,False,False,False,naimkatiman/tradeclaw
skfolio,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-21,1944,https://github.com/skfolio/skfolio,"Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.",True,False,False,False,skfolio/skfolio
PyPortfolioOpt,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-10,5668,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
PyPortfolioOpt,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-10,5669,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
Eiten,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2020-09-21,3200,https://github.com/tradytics/eiten,"Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic investing strategies such as Eigen Portfolios, Minimum Variance Portfolios, Maximum Sharpe Ratio Portfolios, and Genetic Algorithms based Portfolios.",True,False,False,False,tradytics/eiten
riskparity.py,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2024-05-27,319,https://github.com/dppalomar/riskparity.py,fast and scalable design of risk parity portfolios with TensorFlow 2.0.,True,False,False,False,dppalomar/riskparity.py
mlfinlab,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2021-12-01,4695,https://github.com/hudson-and-thames/mlfinlab,"Implementations regarding ""Advances in Financial Machine Learning"" by Marcos Lopez de Prado. (Feature Engineering, Financial Data Structures, Meta-Labeling).",True,False,False,False,hudson-and-thames/mlfinlab
@@ -257,7 +257,7 @@ Empyrial,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimiza
risktools,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2024-12-07,39,https://github.com/bbcho/risktools-dev,Risk tools for use within the crude and crude products trading space with partial implementation of R's PerformanceAnalytics.,True,False,False,False,bbcho/risktools-dev
Riskfolio-Lib,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-25,4096,https://github.com/dcajasn/Riskfolio-Lib,Portfolio Optimization and Quantitative Strategic Asset Allocation in Python.,True,False,False,False,dcajasn/Riskfolio-Lib
empyrical-reloaded,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2025-07-29,106,https://github.com/stefan-jansen/empyrical-reloaded,Common financial risk and performance metrics. [empyrical](https://github.com/quantopian/empyrical) fork.,True,False,False,False,stefan-jansen/empyrical-reloaded
pyfolio-reloaded,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2025-06-02,588,https://github.com/stefan-jansen/pyfolio-reloaded,Portfolio and risk analytics in Python. [pyfolio](https://github.com/quantopian/pyfolio) fork.,True,False,False,False,stefan-jansen/pyfolio-reloaded
pyfolio-reloaded,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2025-06-02,589,https://github.com/stefan-jansen/pyfolio-reloaded,Portfolio and risk analytics in Python. [pyfolio](https://github.com/quantopian/pyfolio) fork.,True,False,False,False,stefan-jansen/pyfolio-reloaded
fortitudo.tech,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-14,295,https://github.com/fortitudo-tech/fortitudo.tech,Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.,True,False,False,False,fortitudo-tech/fortitudo.tech
quantitative-finance-tools,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2025-12-13,4,https://github.com/omichauhan-lgtm/quantitative-finance-tools,Library for portfolio optimization (MVO) and rigorous risk metrics (VaR/CVaR).,True,False,False,False,omichauhan-lgtm/quantitative-finance-tools
curistat,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,,0,https://github.com/moxiespirit/MyClone/tree/main/volatility_platform,"Futures volatility forecasting platform for ES/NQ. Proprietary CVN rating (1-10), regime detection (CRC composite), 8 directional signals, economic event impact analytics. Includes MCP server for AI agent integration.",True,False,False,False,
@@ -270,7 +270,7 @@ PerformanceAnalytics,R,R,Portfolio Optimization & Risk Analysis,Portfolio Optimi
OnlinePortfolioAnalytics.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-13,13,https://github.com/femtotrader/OnlinePortfolioAnalytics.jl,A Julia quantitative portfolio analytics (risk / performance) via online algorithms.,True,False,False,False,femtotrader/OnlinePortfolioAnalytics.jl
RiskPerf.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-12,15,https://github.com/rbeeli/RiskPerf.jl,Quantitative risk and performance analysis package for financial time series powered by the Julia language.,True,False,False,False,rbeeli/RiskPerf.jl
portfolio-allocation,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2022-08-11,187,https://github.com/lequant40/portfolio_allocation_js,"PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks...",True,False,False,False,lequant40/portfolio_allocation_js
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-25,8251,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-25,8254,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
rebalance,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-01,2,https://github.com/cjroth/rebalance,"Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions.",True,False,False,False,cjroth/rebalance
Alpha Skills,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-04-14,37,https://github.com/VernonOY/alpha-skills,"AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets.",True,False,False,False,VernonOY/alpha-skills
alphalens,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2020-04-27,4235,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
@@ -309,9 +309,9 @@ garchmodels,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2
TimeSeries.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-30,368,https://github.com/JuliaStats/TimeSeries.jl,Time series toolkit for Julia.,True,False,False,False,JuliaStats/TimeSeries.jl
TimeFrames.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-09,4,https://github.com/femtotrader/TimeFrames.jl,A Julia library that defines TimeFrame (essentially for resampling TimeSeries).,True,False,False,False,femtotrader/TimeFrames.jl
BTC Orderbook Microstructure Research,Jupyter Notebook,Jupyter Notebook,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-21,4,https://github.com/whoareunot/btc-orderbook-research,"statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread.",True,False,False,False,whoareunot/btc-orderbook-research
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-23,66498,https://github.com/OpenBB-finance/OpenBBTerminal,Terminal for investment research for everyone.,True,False,False,False,OpenBB-finance/OpenBBTerminal
Fincept Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-24,14816,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
yfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,23206,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-23,66500,https://github.com/OpenBB-finance/OpenBBTerminal,Terminal for investment research for everyone.,True,False,False,False,OpenBB-finance/OpenBBTerminal
Fincept Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-24,14836,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
yfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,23207,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
coinpaprika-api-python-client,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-03,17,https://github.com/coinpaprika/coinpaprika-api-python-client,"Free crypto market data API client. 12,000+ coins, 350+ exchanges, tickers, OHLCV, historical prices. No API key for free tier.",True,False,False,False,coinpaprika/coinpaprika-api-python-client
defeatbeta-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-17,587,https://github.com/defeat-beta/defeatbeta-api,An open-source alternative to Yahoo Finance's market data APIs with higher reliability.,True,False,False,False,defeat-beta/defeatbeta-api
financekit-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-17,4,https://github.com/vdalhambra/financekit-mcp,"MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2.",True,False,False,False,vdalhambra/financekit-mcp
@@ -363,7 +363,7 @@ iexfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,m
pyEX,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-02-05,409,https://github.com/timkpaine/pyEX,"Python interface to IEX with emphasis on pandas, support for streaming data, premium data, points data (economic, rates, commodities), and technical indicators.",True,False,False,False,timkpaine/pyEX
alpaca-trade-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-01-12,1868,https://github.com/alpacahq/alpaca-trade-api-python,Python interface for retrieving real-time and historical prices from Alpaca API as well as trade execution.,True,False,False,False,alpacahq/alpaca-trade-api-python
metatrader5,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-04,0,https://pypi.org/project/MetaTrader5/,API Connector to MetaTrader 5 Terminal. (Last updated: 2026-02-20).,False,False,True,False,
akshare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-23,18565,https://github.com/jindaxiang/akshare,"AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>.",True,False,False,False,jindaxiang/akshare
akshare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-23,18566,https://github.com/jindaxiang/akshare,"AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>.",True,False,False,False,jindaxiang/akshare
yahooquery,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-05-15,903,https://github.com/dpguthrie/yahooquery,Python interface for retrieving data through unofficial Yahoo Finance API.,True,False,False,False,dpguthrie/yahooquery
investpy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-10-02,1818,https://github.com/alvarobartt/investpy,Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>.,True,False,False,False,alvarobartt/investpy
yliveticker,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-28,166,https://github.com/yahoofinancelive/yliveticker,Live stream of market data from Yahoo Finance websocket.,True,False,False,False,yahoofinancelive/yliveticker
@@ -388,7 +388,7 @@ datamule-python,Python,Python,Market Data & Data Sources,Market Data & Data Sour
fsynth,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-12-27,6,https://github.com/welcra/fsynth,Python library for high-fidelity unlimited synthetic financial data generation using Heston Stochastic Volatility and Merton Jump Diffusion.,True,False,False,False,welcra/fsynth
fedfred,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://nikhilxsunder.github.io/fedfred/,"FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes.",False,False,False,False,
edgar-sec,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://nikhilxsunder.github.io/edgar-sec/,EDGAR Financial data API with preprocessed dataclass outputs.,False,False,False,False,
edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-24,2052,https://github.com/dgunning/edgartools,"AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.",True,False,False,False,dgunning/edgartools
edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-24,2053,https://github.com/dgunning/edgartools,"AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.",True,False,False,False,dgunning/edgartools
FXMacroData,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-15,4,https://fxmacrodata.com/,Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements. [GitHub](https://github.com/fxmacrodata/fxmacrodata),True,False,False,False,fxmacrodata/fxmacrodata
uk-sic-codes,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/borschai/uk-sic-codes,"UK SIC 2007 industry classification code lookup, search, and validation. 731 codes, 21 sections. [PyPI](https://pypi.org/project/uk-sic-codes/)",True,False,False,False,borschai/uk-sic-codes
uk-company-number,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/borschai/uk-company-number,"Validate, format, and identify UK Companies House company numbers. Supports all 27 prefixes. [PyPI](https://pypi.org/project/uk-company-number/)",True,False,False,False,borschai/uk-company-number
@@ -501,7 +501,7 @@ QuantFinanceTraining,,,"Reproducing Works, Training & Books","Reproducing Works,
Statistical-Learning-based-Portfolio-Optimization,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,error,0,https://github.com/YannickKae/Statistical-Learning-based-Portfolio-Optimization,"This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).",True,False,False,False,YannickKae/Statistical-Learning-based-Portfolio-Optimization
book_irds3,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-10-29,118,https://github.com/attack68/book_irds3,Code repository for Pricing and Trading Interest Rate Derivatives.,True,False,False,False,attack68/book_irds3
Autoencoder-Asset-Pricing-Models,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-08-17,144,https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models,"Reimplementation of Autoencoder Asset Pricing Models ([GKX, 2019](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536)).",True,False,False,False,RichardS0268/Autoencoder-Asset-Pricing-Models
Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-12,3800,https://github.com/shashankvemuri/Finance,"150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.",True,False,False,False,shashankvemuri/Finance
Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-12,3801,https://github.com/shashankvemuri/Finance,"150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.",True,False,False,False,shashankvemuri/Finance
101_formulaic_alphas,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-07-11,47,https://github.com/ram-ki/101_formulaic_alphas,Implementation of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader.,True,False,False,False,ram-ki/101_formulaic_alphas
Tidy Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://www.tidy-finance.org/,"An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages (Python and R) to enable the reproducible implementation of financial research projects for students and practitioners.",False,False,False,False,
RoughVolatilityWorkshop,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-09-06,71,https://github.com/jgatheral/RoughVolatilityWorkshop,2024 QuantMind's Rough Volatility Workshop lectures.,True,False,False,False,jgatheral/RoughVolatilityWorkshop
@@ -533,5 +533,6 @@ KeepRule,,,Commercial & Proprietary Services,Commercial & Proprietary Services,c
ML-Quant,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://www.ml-quant.com/,"Top Quant resources like ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs.",False,False,False,False,
RealMarketAPI,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://realmarketapi.com/,"Provides ultra-low latency market data for gold, forex, crypto, and stocks via REST, WebSocket, and MCP—built for speed, reliability, and scale.",False,False,False,False,
Webb Database,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://webb-database.com/,"Aggregates public financial data from HKEX, the SFC, the Hong Law Society, UK Companies House and other sources, has searchable datasets on listed companies, many in machine-readable formats.",False,False,False,False,
GitDealFlow,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://gitdealflow.com,"Alternative-data signal platform ranking early-stage private companies by GitHub stars-per-day, hiring velocity, and package-registry adoption. Free weekly signal report, Chrome extension overlay on Crunchbase/AngelList, and MCP server on npm for LLM agent access.",False,False,False,False,
awesome-sec-filings,,,Related Lists,Related Lists,related-lists,2026-03-31,17,https://github.com/vibeyclaw/awesome-sec-filings,"A curated list of tools, data sources, libraries, and resources for working with SEC filings (13F, 10-K, 10-Q, 8-K).",True,False,False,False,vibeyclaw/awesome-sec-filings
CONVEXFI,,,Related Lists,Related Lists,related-lists,,0,https://github.com/convexfi,Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST).,True,False,False,False,
1 project language languages category section section_slug last_commit stars url description github cran pypi commercial repo
6 quantdsl Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2017-10-26 378 https://github.com/johnbywater/quantdsl Domain specific language for quantitative analytics in finance and trading. True False False False johnbywater/quantdsl
7 statistics Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 0 https://docs.python.org/3/library/statistics.html Builtin Python library for all basic statistical calculations. False False False False
8 sympy Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-17 14582 https://www.sympy.org/ SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy) True False False False sympy/sympy
9 pymc3 Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-23 9594 9595 https://docs.pymc.io/ Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc) True False False False pymc-devs/pymc
10 modelx Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-18 127 https://docs.modelx.io/ Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx) True False False False fumitoh/modelx
11 ArcticDB Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-24 2257 https://github.com/man-group/ArcticDB High performance datastore for time series and tick data. True False False False man-group/ArcticDB
12 CRNG Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-12 5 https://github.com/brotto/crng Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy. True False False False brotto/crng
13 xts R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-02-27 223 https://github.com/joshuaulrich/xts eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability. True False False False joshuaulrich/xts
14 data.table R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-23 3878 3879 https://github.com/Rdatatable/data.table Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development. True False False False Rdatatable/data.table
15 sparseEigen R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2018-12-22 12 https://github.com/dppalomar/sparseEigen Sparse principal component analysis. True False False False dppalomar/sparseEigen
16 TSdbi R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 0 http://tsdbi.r-forge.r-project.org/ Provides a common interface to time series databases. False False False False
17 tseries R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-03-26 0 https://cran.r-project.org/web/packages/tseries/index.html Time Series Analysis and Computational Finance. False True False False
104 talipp Python Python Technical Indicators Technical Indicators technical-indicators 2025-09-09 526 https://github.com/nardew/talipp Incremental technical analysis library for Python. True False False False nardew/talipp
105 streaming_indicators Python Python Technical Indicators Technical Indicators technical-indicators 2025-04-27 151 https://github.com/mr-easy/streaming_indicators A python library for computing technical analysis indicators on streaming data. True False False False mr-easy/streaming_indicators
106 TA-Lib Python Python Technical Indicators Technical Indicators technical-indicators 2026-03-16 11906 https://github.com/mrjbq7/ta-lib Python wrapper for TA-Lib (<http://ta-lib.org/>). True False False False mrjbq7/ta-lib
107 ta Python Python Technical Indicators Technical Indicators technical-indicators 2026-03-18 5019 5020 https://github.com/bukosabino/ta Technical Analysis Library using Pandas (Python). True False False False bukosabino/ta
108 bta-lib Python Python Technical Indicators Technical Indicators technical-indicators 2020-03-11 499 https://github.com/mementum/bta-lib Technical Analysis library in pandas for backtesting algotrading and quantitative analysis. True False False False mementum/bta-lib
109 TuneTA Python Python Technical Indicators Technical Indicators technical-indicators 2023-10-13 461 https://github.com/jmrichardson/tuneta TuneTA optimizes technical indicators using a distance correlation measure to a user defined target feature such as next day return. True False False False jmrichardson/tuneta
110 TTR R R Technical Indicators Technical Indicators technical-indicators 2026-02-28 343 https://github.com/joshuaulrich/TTR Technical Trading Rules. True False False False joshuaulrich/TTR
113 TechnicalIndicatorCharts.jl Julia Julia Technical Indicators Technical Indicators technical-indicators 2026-04-20 7 https://github.com/g-gundam/TechnicalIndicatorCharts.jl Visualize OnlineTechnicalIndicators.jl using LightweightCharts.jl. True False False False g-gundam/TechnicalIndicatorCharts.jl
114 MarketTechnicals.jl Julia Julia Technical Indicators Technical Indicators technical-indicators 2021-07-12 130 https://github.com/JuliaQuant/MarketTechnicals.jl Technical analysis of financial time series on top of TimeSeries. True False False False JuliaQuant/MarketTechnicals.jl
115 OnlineTechnicalIndicators.jl Julia Julia Technical Indicators Technical Indicators technical-indicators 2026-04-13 33 https://github.com/femtotrader/OnlineTechnicalIndicators.jl Julia Technical Analysis Indicators via online algorithms. True False False False femtotrader/OnlineTechnicalIndicators.jl
116 ta4j Java Java Technical Indicators Technical Indicators technical-indicators 2026-04-13 2412 2413 https://github.com/ta4j/ta4j A Java library for technical analysis. True False False False ta4j/ta4j
117 IndicatorTS JavaScript JavaScript Technical Indicators Technical Indicators technical-indicators 2026-04-20 434 https://github.com/cinar/indicatorts Indicator is a TypeScript module providing various stock technical analysis indicators, strategies, and a backtest framework for trading. True False False False cinar/indicatorts
118 chart-patterns JavaScript JavaScript Technical Indicators Technical Indicators technical-indicators error 0 https://github.com/focus1691/chart-patterns Technical analysis library for Market Profile, Volume Profile, Stacked Imbalances and High Volume Node indicators. True False False False focus1691/chart-patterns
119 orderflow JavaScript JavaScript Technical Indicators Technical Indicators technical-indicators 2025-03-31 67 https://github.com/focus1691/orderflow Orderflow trade aggregator for building Footprint Candles from exchange websocket data. True False False False focus1691/orderflow
125 AI Quant Agents Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-24 3 https://github.com/demandai/ai-quant-agents Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares. True False False False demandai/ai-quant-agents
126 TradeSight Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-20 64 https://github.com/rmbell09-lang/tradesight Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca. True False False False rmbell09-lang/tradesight
127 Orallexa Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-24 27 https://github.com/alex-jb/orallexa-ai-trading-agent AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests. True False False False alex-jb/orallexa-ai-trading-agent
128 Vibe-Trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-21 2585 2605 https://github.com/HKUDS/Vibe-Trading Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports. True False False False HKUDS/Vibe-Trading
129 DeepAlpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-24 3 https://deepalphabot.com AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy on out-of-sample data, LightGBM + XGBoost ensemble with 72 ML features. [GitHub](https://github.com/stefanoviana/deepalpha) True False False False stefanoviana/deepalpha
130 the0 Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-19 230 https://github.com/alexanderwanyoike/the0 Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution. True False False False alexanderwanyoike/the0
131 Investing algorithm framework Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-24 947 https://github.com/coding-kitties/investing-algorithm-framework Framework for developing, backtesting, and deploying automated trading algorithms. True False False False coding-kitties/investing-algorithm-framework
132 Lumibot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 1364 1365 https://github.com/Lumiwealth/lumibot Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab. True False False False Lumiwealth/lumibot
133 QSTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-24 3350 https://github.com/mhallsmoore/qstrader QSTrader backtesting simulation engine. True False False False mhallsmoore/qstrader
134 Blankly Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-30 2426 https://github.com/Blankly-Finance/Blankly Fully integrated backtesting, paper trading, and live deployment. True False False False Blankly-Finance/Blankly
135 zipline Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2020-10-14 19678 https://github.com/quantopian/zipline Pythonic algorithmic trading library. True False False False quantopian/zipline
138 quantitative Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-03 66 https://github.com/jeffrey-liang/quantitative Quantitative finance, and backtesting library. True False False False jeffrey-liang/quantitative
139 analyzer Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2015-12-22 215 https://github.com/llazzaro/analyzer Python framework for real-time financial and backtesting trading strategies. True False False False llazzaro/analyzer
140 bt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 2853 https://github.com/pmorissette/bt Flexible Backtesting for Python. True False False False pmorissette/bt
141 backtrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-04-19 21258 21259 https://github.com/backtrader/backtrader Python Backtesting library for trading strategies. True False False False backtrader/backtrader
142 pythalesians Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2016-09-23 63 https://github.com/thalesians/pythalesians Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc. True False False False thalesians/pythalesians
143 pybacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-09-09 821 https://github.com/ematvey/pybacktest Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier. True False False False ematvey/pybacktest
144 pyalgotrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 4651 https://github.com/gbeced/pyalgotrade Python Algorithmic Trading Library. True False False False gbeced/pyalgotrade
164 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 28 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
165 qtpylib Python 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
166 Quantdom Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-12 764 https://github.com/constverum/Quantdom Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.] True False False False constverum/Quantdom
167 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 49367 49369 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
168 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3343 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
169 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 41243 41245 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
170 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 17151 https://github.com/stefan-jansen/machine-learning-for-trading Code and resources for Machine Learning for Algorithmic Trading. True False False False stefan-jansen/machine-learning-for-trading
171 AlphaPy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-08-24 1720 https://github.com/ScottfreeLLC/AlphaPy Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost. True False False False ScottfreeLLC/AlphaPy
172 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-09 7784 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
173 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-15 6323 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
174 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 14912 14914 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
175 bulbea Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-03-19 2279 https://github.com/achillesrasquinha/bulbea Deep Learning based Python Library for Stock Market Prediction and Modelling. True False False False achillesrasquinha/bulbea
176 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
177 OctoBot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-29 5787 5789 https://github.com/Drakkar-Software/OctoBot Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface. True False False False Drakkar-Software/OctoBot
178 OpenFinClaw Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting error 0 https://github.com/cryptoSUN2049/openFinclaw AI-native hedge fund platform: natural language strategy generation, Rust backtesting engine, multi-market execution, and self-evolving strategy pipeline with community leaderboard. True False False False cryptoSUN2049/openFinclaw
179 Stock-Prediction-Models Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-01-05 9323 https://github.com/huseinzol05/Stock-Prediction-Models Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations. True False False False huseinzol05/Stock-Prediction-Models
180 AutoTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-05-04 1245 https://github.com/kieran-mackle/AutoTrader A Python-based development platform for automated trading systems - from backtesting to optimization to livetrading. True False False False kieran-mackle/AutoTrader
182 qf-lib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-07 925 https://github.com/quarkfin/qf-lib QF-Lib is a Python library that provides high quality tools for quantitative finance. True False False False quarkfin/qf-lib
183 tda-api Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-16 1314 https://github.com/alexgolec/tda-api Gather data and trade equities, options, and ETFs via TDAmeritrade. True False False False alexgolec/tda-api
184 vectorbt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 7282 https://github.com/polakowo/vectorbt Find your trading edge, using a powerful toolkit for backtesting, algorithmic trading, and research. True False False False polakowo/vectorbt
185 Lean Python Python,C# Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 18604 18607 https://github.com/QuantConnect/Lean Lean Algorithmic Trading Engine by QuantConnect (Python, C#). True False False False QuantConnect/Lean
186 pysystemtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-02 3273 https://github.com/robcarver17/pysystemtrade pysystemtrade is the open source version of Robert Carver's backtesting and trading engine that implements systems according to the framework outlined in his book "Systematic Trading", which is further developed on his [blog](https://qoppac.blogspot.com/). True False False False robcarver17/pysystemtrade
187 pytrendseries Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-04 163 https://github.com/rafa-rod/pytrendseries Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater. True False False False rafa-rod/pytrendseries
188 PyLOB Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-01-01 200 https://github.com/DrAshBooth/PyLOB Fully functioning fast Limit Order Book written in Python. True False False False DrAshBooth/PyLOB
192 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-14 39840 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
193 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 1669 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
194 fastquant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-15 1752 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
195 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 22259 22261 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
196 YABTE Python 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
197 Trading Strategy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-21 215 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
198 Hikyuu Python Python,C++ Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 3098 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
228 OrderMatchingEngine CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-11 137 https://github.com/PIYUSH-KUMAR1809/order-matching-engine A production-grade, lock-free, high-frequency trading matching engine achieving 150M+ orders/sec. True False False False PIYUSH-KUMAR1809/order-matching-engine
229 PandoraTrader CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2025-07-29 1387 https://github.com/pegasusTrader/PandoraTrader A C++ CTP trading framework, with very clear logic. True False False False pegasusTrader/PandoraTrader
230 NexusFix CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 48 https://github.com/SilverstreamsAI/NexusFix C++23 FIX protocol engine with zero-copy parsing and SIMD acceleration, 3x faster than QuickFIX. True False False False SilverstreamsAI/NexusFix
231 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 18604 18607 https://github.com/QuantConnect/Lean Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage. True False False False QuantConnect/Lean
232 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 9786 9787 https://github.com/StockSharp/StockSharp Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). True False False False StockSharp/StockSharp
233 TDAmeritrade.DotNetCore CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-10 57 https://github.com/NVentimiglia/TDAmeritrade.DotNetCore Free, open-source .NET Client for the TD Ameritrade Trading Platform. Helps developers integrate TD Ameritrade API into custom trading solutions. True False False False NVentimiglia/TDAmeritrade.DotNetCore
234 Barter Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-05 2092 https://github.com/barter-rs/barter-rs Open-source Rust framework for building event-driven live-trading & backtesting systems. True False False False barter-rs/barter-rs
235 LFEST Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-07 77 https://github.com/MathisWellmann/lfest-rs Simulated perpetual futures exchange to trade your strategy against. True False False False MathisWellmann/lfest-rs
237 Sextant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 0 https://github.com/raphaub-hub/SEXTANT Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support. True False False False raphaub-hub/SEXTANT
238 TradeClaw Node.js Node.js,TypeScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 20 https://github.com/naimkatiman/tradeclaw Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard)) True False False False naimkatiman/tradeclaw
239 skfolio Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-21 1944 https://github.com/skfolio/skfolio Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models. True False False False skfolio/skfolio
240 PyPortfolioOpt Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-10 5668 5669 https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimization in python, including classical efficient frontier and advanced methods. True False False False robertmartin8/PyPortfolioOpt
241 Eiten Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2020-09-21 3200 https://github.com/tradytics/eiten Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic investing strategies such as Eigen Portfolios, Minimum Variance Portfolios, Maximum Sharpe Ratio Portfolios, and Genetic Algorithms based Portfolios. True False False False tradytics/eiten
242 riskparity.py Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2024-05-27 319 https://github.com/dppalomar/riskparity.py fast and scalable design of risk parity portfolios with TensorFlow 2.0. True False False False dppalomar/riskparity.py
243 mlfinlab Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2021-12-01 4695 https://github.com/hudson-and-thames/mlfinlab Implementations regarding "Advances in Financial Machine Learning" by Marcos Lopez de Prado. (Feature Engineering, Financial Data Structures, Meta-Labeling). True False False False hudson-and-thames/mlfinlab
257 risktools Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2024-12-07 39 https://github.com/bbcho/risktools-dev Risk tools for use within the crude and crude products trading space with partial implementation of R's PerformanceAnalytics. True False False False bbcho/risktools-dev
258 Riskfolio-Lib Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-25 4096 https://github.com/dcajasn/Riskfolio-Lib Portfolio Optimization and Quantitative Strategic Asset Allocation in Python. True False False False dcajasn/Riskfolio-Lib
259 empyrical-reloaded Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2025-07-29 106 https://github.com/stefan-jansen/empyrical-reloaded Common financial risk and performance metrics. [empyrical](https://github.com/quantopian/empyrical) fork. True False False False stefan-jansen/empyrical-reloaded
260 pyfolio-reloaded Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2025-06-02 588 589 https://github.com/stefan-jansen/pyfolio-reloaded Portfolio and risk analytics in Python. [pyfolio](https://github.com/quantopian/pyfolio) fork. True False False False stefan-jansen/pyfolio-reloaded
261 fortitudo.tech Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-14 295 https://github.com/fortitudo-tech/fortitudo.tech Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python. True False False False fortitudo-tech/fortitudo.tech
262 quantitative-finance-tools Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2025-12-13 4 https://github.com/omichauhan-lgtm/quantitative-finance-tools Library for portfolio optimization (MVO) and rigorous risk metrics (VaR/CVaR). True False False False omichauhan-lgtm/quantitative-finance-tools
263 curistat Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 0 https://github.com/moxiespirit/MyClone/tree/main/volatility_platform Futures volatility forecasting platform for ES/NQ. Proprietary CVN rating (1-10), regime detection (CRC composite), 8 directional signals, economic event impact analytics. Includes MCP server for AI agent integration. True False False False
270 OnlinePortfolioAnalytics.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-13 13 https://github.com/femtotrader/OnlinePortfolioAnalytics.jl A Julia quantitative portfolio analytics (risk / performance) via online algorithms. True False False False femtotrader/OnlinePortfolioAnalytics.jl
271 RiskPerf.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-12 15 https://github.com/rbeeli/RiskPerf.jl Quantitative risk and performance analysis package for financial time series powered by the Julia language. True False False False rbeeli/RiskPerf.jl
272 portfolio-allocation JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2022-08-11 187 https://github.com/lequant40/portfolio_allocation_js PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks... True False False False lequant40/portfolio_allocation_js
273 Ghostfolio JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-25 8251 8254 https://github.com/ghostfolio/ghostfolio Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions. True False False False ghostfolio/ghostfolio
274 rebalance JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-01 2 https://github.com/cjroth/rebalance Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions. True False False False cjroth/rebalance
275 Alpha Skills Python Python Factor Analysis Factor Analysis factor-analysis 2026-04-14 37 https://github.com/VernonOY/alpha-skills AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets. True False False False VernonOY/alpha-skills
276 alphalens Python Python Factor Analysis Factor Analysis factor-analysis 2020-04-27 4235 https://github.com/quantopian/alphalens Performance analysis of predictive alpha factors. True False False False quantopian/alphalens
309 TimeSeries.jl Julia Julia Time Series Analysis Time Series Analysis time-series-analysis 2026-03-30 368 https://github.com/JuliaStats/TimeSeries.jl Time series toolkit for Julia. True False False False JuliaStats/TimeSeries.jl
310 TimeFrames.jl Julia Julia Time Series Analysis Time Series Analysis time-series-analysis 2026-03-09 4 https://github.com/femtotrader/TimeFrames.jl A Julia library that defines TimeFrame (essentially for resampling TimeSeries). True False False False femtotrader/TimeFrames.jl
311 BTC Orderbook Microstructure Research Jupyter Notebook Jupyter Notebook Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-21 4 https://github.com/whoareunot/btc-orderbook-research statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread. True False False False whoareunot/btc-orderbook-research
312 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-23 66498 66500 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
313 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-24 14816 14836 https://github.com/Fincept-Corporation/FinceptTerminal Advance Data Based A.I Terminal for all Types of Financial Asset Research. True False False False Fincept-Corporation/FinceptTerminal
314 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-22 23206 23207 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
315 coinpaprika-api-python-client Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-03 17 https://github.com/coinpaprika/coinpaprika-api-python-client Free crypto market data API client. 12,000+ coins, 350+ exchanges, tickers, OHLCV, historical prices. No API key for free tier. True False False False coinpaprika/coinpaprika-api-python-client
316 defeatbeta-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-17 587 https://github.com/defeat-beta/defeatbeta-api An open-source alternative to Yahoo Finance's market data APIs with higher reliability. True False False False defeat-beta/defeatbeta-api
317 financekit-mcp Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-17 4 https://github.com/vdalhambra/financekit-mcp MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2. True False False False vdalhambra/financekit-mcp
363 pyEX Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-02-05 409 https://github.com/timkpaine/pyEX Python interface to IEX with emphasis on pandas, support for streaming data, premium data, points data (economic, rates, commodities), and technical indicators. True False False False timkpaine/pyEX
364 alpaca-trade-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-01-12 1868 https://github.com/alpacahq/alpaca-trade-api-python Python interface for retrieving real-time and historical prices from Alpaca API as well as trade execution. True False False False alpacahq/alpaca-trade-api-python
365 metatrader5 Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-04 0 https://pypi.org/project/MetaTrader5/ API Connector to MetaTrader 5 Terminal. (Last updated: 2026-02-20). False False True False
366 akshare Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-23 18565 18566 https://github.com/jindaxiang/akshare AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>. True False False False jindaxiang/akshare
367 yahooquery Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-05-15 903 https://github.com/dpguthrie/yahooquery Python interface for retrieving data through unofficial Yahoo Finance API. True False False False dpguthrie/yahooquery
368 investpy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-10-02 1818 https://github.com/alvarobartt/investpy Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>. True False False False alvarobartt/investpy
369 yliveticker Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-28 166 https://github.com/yahoofinancelive/yliveticker Live stream of market data from Yahoo Finance websocket. True False False False yahoofinancelive/yliveticker
388 fsynth Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-12-27 6 https://github.com/welcra/fsynth Python library for high-fidelity unlimited synthetic financial data generation using Heston Stochastic Volatility and Merton Jump Diffusion. True False False False welcra/fsynth
389 fedfred Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://nikhilxsunder.github.io/fedfred/ FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes. False False False False
390 edgar-sec Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://nikhilxsunder.github.io/edgar-sec/ EDGAR Financial data API with preprocessed dataclass outputs. False False False False
391 edgartools Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-24 2052 2053 https://github.com/dgunning/edgartools AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames. True False False False dgunning/edgartools
392 FXMacroData Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-15 4 https://fxmacrodata.com/ Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements. [GitHub](https://github.com/fxmacrodata/fxmacrodata) True False False False fxmacrodata/fxmacrodata
393 uk-sic-codes Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources error 0 https://github.com/borschai/uk-sic-codes UK SIC 2007 industry classification code lookup, search, and validation. 731 codes, 21 sections. [PyPI](https://pypi.org/project/uk-sic-codes/) True False False False borschai/uk-sic-codes
394 uk-company-number Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources error 0 https://github.com/borschai/uk-company-number Validate, format, and identify UK Companies House company numbers. Supports all 27 prefixes. [PyPI](https://pypi.org/project/uk-company-number/) True False False False borschai/uk-company-number
501 Statistical-Learning-based-Portfolio-Optimization Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books error 0 https://github.com/YannickKae/Statistical-Learning-based-Portfolio-Optimization This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018). True False False False YannickKae/Statistical-Learning-based-Portfolio-Optimization
502 book_irds3 Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2022-10-29 118 https://github.com/attack68/book_irds3 Code repository for Pricing and Trading Interest Rate Derivatives. True False False False attack68/book_irds3
503 Autoencoder-Asset-Pricing-Models Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-08-17 144 https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models Reimplementation of Autoencoder Asset Pricing Models ([GKX, 2019](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536)). True False False False RichardS0268/Autoencoder-Asset-Pricing-Models
504 Finance Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-05-12 3800 3801 https://github.com/shashankvemuri/Finance 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data. True False False False shashankvemuri/Finance
505 101_formulaic_alphas Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2022-07-11 47 https://github.com/ram-ki/101_formulaic_alphas Implementation of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader. True False False False ram-ki/101_formulaic_alphas
506 Tidy Finance Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 0 https://www.tidy-finance.org/ An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages (Python and R) to enable the reproducible implementation of financial research projects for students and practitioners. False False False False
507 RoughVolatilityWorkshop Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-09-06 71 https://github.com/jgatheral/RoughVolatilityWorkshop 2024 QuantMind's Rough Volatility Workshop lectures. True False False False jgatheral/RoughVolatilityWorkshop
533 ML-Quant Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://www.ml-quant.com/ Top Quant resources like ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs. False False False False
534 RealMarketAPI Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://realmarketapi.com/ Provides ultra-low latency market data for gold, forex, crypto, and stocks via REST, WebSocket, and MCP—built for speed, reliability, and scale. False False False False
535 Webb Database Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://webb-database.com/ Aggregates public financial data from HKEX, the SFC, the Hong Law Society, UK Companies House and other sources, has searchable datasets on listed companies, many in machine-readable formats. False False False False
536 GitDealFlow Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://gitdealflow.com Alternative-data signal platform ranking early-stage private companies by GitHub stars-per-day, hiring velocity, and package-registry adoption. Free weekly signal report, Chrome extension overlay on Crunchbase/AngelList, and MCP server on npm for LLM agent access. False False False False
537 awesome-sec-filings Related Lists Related Lists related-lists 2026-03-31 17 https://github.com/vibeyclaw/awesome-sec-filings A curated list of tools, data sources, libraries, and resources for working with SEC filings (13F, 10-K, 10-Q, 8-K). True False False False vibeyclaw/awesome-sec-filings
538 CONVEXFI Related Lists Related Lists related-lists 0 https://github.com/convexfi Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST). True False False False