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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="48570">
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<a href="https://pandas.pydata.org" target="_blank" rel="noopener">pandas</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
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<td class="col-stars"><span class="stars" title="48,570 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 48.6k</span></td>
<td class="col-stars"><span class="stars" title="48,571 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 48.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -168,13 +168,13 @@
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="38304">
<td class="col-num">4</td>
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<a href="https://docs.pola.rs/" target="_blank" rel="noopener">polars</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
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<td class="col-stars"><span class="stars" title="38,301 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> 38.3k</span></td>
<td class="col-stars"><span class="stars" title="38,304 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> 38.3k</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>
@@ -245,14 +245,14 @@
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14582">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14583">
<td class="col-num">7</td>
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<td class="col-update"><span class="last-update" title="Last commit: 2026-04-17">2026-04-17</span></td>
<td class="col-stars"><span class="stars" title="14,583 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> 14.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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@@ -271,13 +271,13 @@
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="9595">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="9596">
<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="9,595 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-stars"><span class="stars" title="9,596 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>
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<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="10145">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="10146">
<td class="col-num">35</td>
<td class="col-name">
<a href="https://github.com/goldmansachs/gs-quant" target="_blank" rel="noopener">gs-quant</a>
<span class="mobile-category">Financial Instruments &amp; Pricing</span>
</td>
<td class="col-stars"><span class="stars" title="10,145 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> 10.1k</span></td>
<td class="col-stars"><span class="stars" title="10,146 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> 10.1k</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>
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<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="11906">
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="11907">
<td class="col-num">105</td>
<td class="col-name">
<a href="https://github.com/mrjbq7/ta-lib" target="_blank" rel="noopener">TA-Lib</a>
<span class="mobile-category">Technical Indicators</span>
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<td class="col-stars"><span class="stars" title="11,906 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> 11.9k</span></td>
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<td class="col-update"><span class="last-update" title="Last commit: 2026-03-16">2026-03-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="5020">
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="5021">
<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="5,020 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-stars"><span class="stars" title="5,021 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>
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<tr class="row" data-languages="Golang" data-category="Technical Indicators" data-sources="github" data-stars="843">
<tr class="row" data-languages="Golang" data-category="Technical Indicators" data-sources="github" data-stars="842">
<td class="col-num">119</td>
<td class="col-name">
<a href="https://github.com/cinar/indicator" target="_blank" rel="noopener">IndicatorGo</a>
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="843 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> 843</span></td>
<td class="col-stars"><span class="stars" title="842 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> 842</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-20">2026-04-20</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Golang">golang</button>
@@ -3338,7 +3338,7 @@
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<td class="col-update"><span class="last-update" title="Last commit: 2026-04-24">2026-04-24</span></td>
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<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2641">
<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="2,605 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-stars"><span class="stars" title="2,641 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>
@@ -3383,13 +3383,13 @@
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</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="4">
<td class="col-num">128</td>
<td class="col-name">
<a href="https://deepalphabot.com" target="_blank" rel="noopener">DeepAlpha</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="3 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</span></td>
<td class="col-stars"><span class="stars" title="4 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> 4</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>
@@ -3435,13 +3435,13 @@
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="947">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="949">
<td class="col-num">130</td>
<td class="col-name">
<a href="https://github.com/coding-kitties/investing-algorithm-framework" target="_blank" rel="noopener">Investing algorithm framework</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="947 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> 947</span></td>
<td class="col-stars"><span class="stars" title="949 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> 949</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>
@@ -3539,13 +3539,13 @@
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</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19678">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19679">
<td class="col-num">134</td>
<td class="col-name">
<a href="https://github.com/quantopian/zipline" target="_blank" rel="noopener">zipline</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="19,678 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> 19.7k</span></td>
<td class="col-stars"><span class="stars" title="19,679 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> 19.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2020-10-14">2020-10-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3565,13 +3565,13 @@
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</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1738">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1739">
<td class="col-num">135</td>
<td class="col-name">
<a href="https://github.com/stefan-jansen/zipline-reloaded" target="_blank" rel="noopener">zipline-reloaded</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,738 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> 1.7k</span></td>
<td class="col-stars"><span class="stars" title="1,739 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> 1.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-11-13">2025-11-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3929,13 +3929,13 @@
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</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="4112">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="4111">
<td class="col-num">149</td>
<td class="col-name">
<a href="https://github.com/zvtvz/zvt" target="_blank" rel="noopener">zvt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="4,112 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> 4.1k</span></td>
<td class="col-stars"><span class="stars" title="4,111 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-01">2026-03-01</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4163,13 +4163,13 @@
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9">
<td class="col-num">158</td>
<td class="col-name">
<a href="https://github.com/NeuZhou/finclaw" target="_blank" rel="noopener">FinClaw</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="8 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</span></td>
<td class="col-stars"><span class="stars" title="9 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</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-18">2026-04-18</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49369">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49375">
<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="49,369 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-stars"><span class="stars" title="49,375 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>
@@ -4396,13 +4396,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3343">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3345">
<td class="col-num">167</td>
<td class="col-name">
<a href="https://github.com/chrisconlan/algorithmic-trading-with-python" target="_blank" rel="noopener">algorithmic-trading-with-python</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="3,343 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> 3.3k</span></td>
<td class="col-stars"><span class="stars" title="3,345 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> 3.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2021-06-01">2021-06-01</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="41245">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41247">
<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="41,245 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-stars"><span class="stars" title="41,247 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>
@@ -4500,13 +4500,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7784">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7785">
<td class="col-num">171</td>
<td class="col-name">
<a href="https://github.com/jesse-ai/jesse" target="_blank" rel="noopener">jesse</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="7,784 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> 7.8k</span></td>
<td class="col-stars"><span class="stars" title="7,785 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> 7.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-09">2026-04-09</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="14914">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="14916">
<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="14,914 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-stars"><span class="stars" title="14,916 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="5789">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="5790">
<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="5,789 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-stars"><span class="stars" title="5,790 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>
@@ -4813,13 +4813,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7282">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7283">
<td class="col-num">183</td>
<td class="col-name">
<a href="https://github.com/polakowo/vectorbt" target="_blank" rel="noopener">vectorbt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="7,282 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> 7.3k</span></td>
<td class="col-stars"><span class="stars" title="7,283 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> 7.3k</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>
@@ -4839,13 +4839,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18607">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18615">
<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="18,607 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-stars"><span class="stars" title="18,615 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>
@@ -4996,13 +4996,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3987">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3988">
<td class="col-num">190</td>
<td class="col-name">
<a href="https://github.com/nkaz001/hftbacktest" target="_blank" rel="noopener">hftbacktest</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="3,987 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> 4k</span></td>
<td class="col-stars"><span class="stars" title="3,988 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> 4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-12-23">2025-12-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5100,14 +5100,14 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22261">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22263">
<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="22,261 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-stars"><span class="stars" title="22,263 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: 2026-04-26">2026-04-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -5596,13 +5596,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10372">
<tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10373">
<td class="col-num">213</td>
<td class="col-name">
<a href="https://github.com/yutiansut/quantaxis" target="_blank" rel="noopener">QUANTAXIS</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="10,372 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> 10.4k</span></td>
<td class="col-stars"><span class="stars" title="10,373 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> 10.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-28">2026-02-28</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Matlab">matlab</button>
@@ -5726,13 +5726,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42065">
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42066">
<td class="col-num">218</td>
<td class="col-name">
<a href="https://github.com/ccxt/ccxt" target="_blank" rel="noopener">ccxt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="42,065 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> 42.1k</span></td>
<td class="col-stars"><span class="stars" title="42,066 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> 42.1k</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>
@@ -5761,7 +5761,7 @@
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="20 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> 20</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-26">2026-04-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Trading &amp; Backtesting">trading-backtesting</button>
@@ -6022,7 +6022,7 @@
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="48 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 48</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-26">2026-04-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CPP">cpp</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Trading &amp; Backtesting">trading-backtesting</button>
@@ -6041,13 +6041,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18607">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18615">
<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="18,607 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-stars"><span class="stars" title="18,615 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>
@@ -6231,7 +6231,7 @@
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="20 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> 20</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-25">2026-04-25</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-26">2026-04-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Node.js">node.js</button>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="TypeScript">typescript</button>
@@ -6355,13 +6355,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="4695">
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="4696">
<td class="col-num">242</td>
<td class="col-name">
<a href="https://github.com/hudson-and-thames/mlfinlab" target="_blank" rel="noopener">mlfinlab</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="4,695 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> 4.7k</span></td>
<td class="col-stars"><span class="stars" title="4,696 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> 4.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2021-12-01">2021-12-01</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="8254">
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8257">
<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="8,254 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-stars"><span class="stars" title="8,257 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>
@@ -7939,13 +7939,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="R" data-category="Time Series Analysis" data-sources="github" data-stars="905">
<tr class="row" data-languages="R" data-category="Time Series Analysis" data-sources="github" data-stars="906">
<td class="col-num">303</td>
<td class="col-name">
<a href="https://github.com/business-science/tidyquant" target="_blank" rel="noopener">tidyquant</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="905 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> 905</span></td>
<td class="col-stars"><span class="stars" title="906 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> 906</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-16">2026-03-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="R">r</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="66500">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66503">
<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="66,500 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-stars"><span class="stars" title="66,503 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="14836">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="14902">
<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="14,836 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-stars"><span class="stars" title="14,902 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: 2026-04-24">2026-04-24</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8251,13 +8251,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="587">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="588">
<td class="col-num">315</td>
<td class="col-name">
<a href="https://github.com/defeat-beta/defeatbeta-api" target="_blank" rel="noopener">defeatbeta-api</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="587 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> 587</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-update"><span class="last-update" title="Last commit: 2026-04-17">2026-04-17</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9681,13 +9681,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="1411">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="1412">
<td class="col-num">370</td>
<td class="col-name">
<a href="https://github.com/polygon-io/client-python" target="_blank" rel="noopener">polygon.io</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="1,411 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="1,412 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> 1.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-10">2026-04-10</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -10045,13 +10045,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="7494">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="7496">
<td class="col-num">384</td>
<td class="col-name">
<a href="https://github.com/JerBouma/FinanceDatabase" target="_blank" rel="noopener">FinanceDatabase</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="7,494 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> 7.5k</span></td>
<td class="col-stars"><span class="stars" title="7,496 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> 7.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-19">2026-04-19</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="2053">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2054">
<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="2,053 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-stars"><span class="stars" title="2,054 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>
@@ -10848,13 +10848,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1601">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1602">
<td class="col-num">415</td>
<td class="col-name">
<a href="https://github.com/pmxt-dev/pmxt" target="_blank" rel="noopener">pmxt</a>
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="1,601 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> 1.6k</span></td>
<td class="col-stars"><span class="stars" title="1,602 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> 1.6k</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>
@@ -10953,13 +10953,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1601">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1602">
<td class="col-num">419</td>
<td class="col-name">
<a href="https://github.com/pmxt-dev/pmxt" target="_blank" rel="noopener">pmxt</a>
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="1,601 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> 1.6k</span></td>
<td class="col-stars"><span class="stars" title="1,602 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> 1.6k</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>
@@ -12245,13 +12245,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="3343">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="3345">
<td class="col-num">470</td>
<td class="col-name">
<a href="https://github.com/chrisconlan/algorithmic-trading-with-python" target="_blank" rel="noopener">algorithmic-trading-with-python</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="3,343 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> 3.3k</span></td>
<td class="col-stars"><span class="stars" title="3,345 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> 3.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2021-06-01">2021-06-01</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>
projects.csv
+44 -44
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@@ -1,12 +1,12 @@
project,language,languages,category,section,section_slug,last_commit,stars,url,description,github,cran,pypi,commercial,repo
numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-24,31892,https://www.numpy.org,NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy),True,False,False,False,numpy/numpy
scipy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-25,14634,https://www.scipy.org,"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy)",True,False,False,False,scipy/scipy
pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-25,48570,https://pandas.pydata.org,"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas)",True,False,False,False,pandas-dev/pandas
polars,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-25,38301,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars
pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-25,48571,https://pandas.pydata.org,"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas)",True,False,False,False,pandas-dev/pandas
polars,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-25,38304,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars
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,2026-04-23,9595,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
sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-25,14583,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,2026-04-23,9596,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
@@ -33,7 +33,7 @@ pynance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pr
tia,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-06-05,429,https://github.com/bpsmith/tia,Toolkit for integration and analysis.,True,False,False,False,bpsmith/tia
pysabr,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-04-21,597,https://github.com/ynouri/pysabr,SABR model Python implementation.,True,False,False,False,ynouri/pysabr
FinancePy,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-25,2900,https://github.com/domokane/FinancePy,"A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.",True,False,False,False,domokane/FinancePy
gs-quant,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-23,10145,https://github.com/goldmansachs/gs-quant,Python toolkit for quantitative finance.,True,False,False,False,goldmansachs/gs-quant
gs-quant,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-23,10146,https://github.com/goldmansachs/gs-quant,Python toolkit for quantitative finance.,True,False,False,False,goldmansachs/gs-quant
willowtree,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2018-07-14,353,https://github.com/federicomariamassari/willowtree,Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.,True,False,False,False,federicomariamassari/willowtree
financial-engineering,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-11-20,510,https://github.com/federicomariamassari/financial-engineering,"Applications of Monte Carlo methods to financial engineering projects, in Python.",True,False,False,False,federicomariamassari/financial-engineering
optlib,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-11-18,1358,https://github.com/dbrojas/optlib,A library for financial options pricing written in Python.,True,False,False,False,dbrojas/optlib
@@ -103,8 +103,8 @@ Tulipy,Python,Python,Technical Indicators,Technical Indicators,technical-indicat
lppls,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-02-15,454,https://github.com/Boulder-Investment-Technologies/lppls,A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.,True,False,False,False,Boulder-Investment-Technologies/lppls
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,2026-03-18,5020,https://github.com/bukosabino/ta,Technical Analysis Library using Pandas (Python).,True,False,False,False,bukosabino/ta
TA-Lib,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-16,11907,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,2026-03-18,5021,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
@@ -117,23 +117,23 @@ ta4j,Java,Java,Technical Indicators,Technical Indicators,technical-indicators,20
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
IndicatorGo,Golang,Golang,Technical Indicators,Technical Indicators,technical-indicators,2026-04-20,843,https://github.com/cinar/indicator,"IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.",True,False,False,False,cinar/indicator
IndicatorGo,Golang,Golang,Technical Indicators,Technical Indicators,technical-indicators,2026-04-20,842,https://github.com/cinar/indicator,"IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.",True,False,False,False,cinar/indicator
TradeAggregation,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-02-05,115,https://github.com/MathisWellmann/trade_aggregation-rs,Aggregate trades into user-defined candles using information driven rules.,True,False,False,False,MathisWellmann/trade_aggregation-rs
SlidingFeatures,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-02-18,74,https://github.com/MathisWellmann/sliding_features-rs,Chainable tree-like sliding windows for signal processing and technical analysis.,True,False,False,False,MathisWellmann/sliding_features-rs
fin-primitives,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-03-23,8,https://github.com/Mattbusel/fin-primitives,"Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor.",True,False,False,False,Mattbusel/fin-primitives
income-desk,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-24,5,https://github.com/nitinblue/income-desk,"Systematic options trading intelligence for small accounts with desk-based portfolio management, pre-trade validation, and multi-broker consolidation.",True,False,False,False,nitinblue/income-desk
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,2026-04-21,2605,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
Orallexa,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-26,27,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,2026-04-21,2641,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,2026-04-24,4,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
Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-24,949,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,2026-04-25,1365,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
zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1738,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
zipline,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2020-10-14,19679,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1739,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-10-07,477,https://github.com/QuantSoftware/QuantSoftwareToolkit,Python-based open source software framework designed to support portfolio construction and management.,True,False,False,False,QuantSoftware/QuantSoftwareToolkit
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
@@ -147,7 +147,7 @@ algobroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
finmarketpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-16,3745,https://github.com/cuemacro/finmarketpy,Python library for backtesting trading strategies and analyzing financial markets.,True,False,False,False,cuemacro/finmarketpy
binary-martingale,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-10-16,48,https://github.com/metaperl/binary-martingale,Computer program to automatically trade binary options martingale style.,True,False,False,False,metaperl/binary-martingale
fooltrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2020-07-19,1187,https://github.com/foolcage/fooltrader,the project using big-data technology to provide an uniform way to analyze the whole market.,True,False,False,False,foolcage/fooltrader
zvt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-01,4112,https://github.com/zvtvz/zvt,"the project using sql, pandas to provide an uniform and extendable way to record data, computing factors, select securities, backtesting, realtime trading and it could show all of them in clearly charts in realtime.",True,False,False,False,zvtvz/zvt
zvt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-01,4111,https://github.com/zvtvz/zvt,"the project using sql, pandas to provide an uniform and extendable way to record data, computing factors, select securities, backtesting, realtime trading and it could show all of them in clearly charts in realtime.",True,False,False,False,zvtvz/zvt
pylivetrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2022-04-11,683,https://github.com/alpacahq/pylivetrader,zipline-compatible live trading library.,True,False,False,False,alpacahq/pylivetrader
pipeline-live,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2022-04-11,206,https://github.com/alpacahq/pipeline-live,zipline's pipeline capability with IEX for live trading.,True,False,False,False,alpacahq/pipeline-live
zipline-extensions,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2018-09-17,18,https://github.com/quantrocket-llc/zipline-extensions,Zipline extensions and adapters for QuantRocket.,True,False,False,False,quantrocket-llc/zipline-extensions
@@ -156,7 +156,7 @@ pyqstrat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
NowTrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-02-07,101,https://github.com/edouardpoitras/NowTrade,Python library for backtesting technical/mechanical strategies in the stock and currency markets.,True,False,False,False,edouardpoitras/NowTrade
pinkfish,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-01,293,https://github.com/fja05680/pinkfish,A backtester and spreadsheet library for security analysis.,True,False,False,False,fja05680/pinkfish
PRISM-INSIGHT,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-24,558,https://github.com/dragon1086/prism-insight,"AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets.",True,False,False,False,dragon1086/prism-insight
FinClaw,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-18,8,https://github.com/NeuZhou/finclaw,"AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests.",True,False,False,False,NeuZhou/finclaw
FinClaw,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-18,9,https://github.com/NeuZhou/finclaw,"AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests.",True,False,False,False,NeuZhou/finclaw
aat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,802,https://github.com/timkpaine/aat,Async Algorithmic Trading Engine.,True,False,False,False,timkpaine/aat
Backtesting.py,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://kernc.github.io/backtesting.py/,Backtest trading strategies in Python.,False,False,False,False,
catalyst,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-09-22,2560,https://github.com/enigmampc/catalyst,An Algorithmic Trading Library for Crypto-Assets in Python.,True,False,False,False,enigmampc/catalyst
@@ -164,35 +164,35 @@ 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,2026-04-25,49369,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,2026-04-22,41245,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
freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,49375,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,2021-06-01,3345,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,2026-04-22,41247,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
jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-09,7785,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,2026-04-05,14914,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
FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,14916,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,2026-03-29,5789,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
OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-29,5790,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
fast-trade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-11,545,https://github.com/jrmeier/fast-trade,A library built with backtest portability and performance in mind for backtest trading strategies.,True,False,False,False,jrmeier/fast-trade
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,2026-04-23,18607,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
vectorbt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,7283,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,2026-04-23,18615,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
PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,3273,https://github.com/edtechre/pybroker,Algorithmic Trading with Machine Learning.,True,False,False,False,edtechre/pybroker
OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,40,https://github.com/Drakkar-Software/OctoBot-Script,A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading.,True,False,False,False,Drakkar-Software/OctoBot-Script
hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,3987,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest
hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,3988,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest
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,2026-04-25,22261,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,2026-04-26,22263,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
@@ -211,13 +211,13 @@ pa,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-08-2
QuantTools,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://quanttools.bitbucket.io/_site/index.html,Enhanced Quantitative Trading Modelling.,False,False,False,False,
blotter,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-13,117,https://github.com/braverock/blotter,"Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed.",True,False,False,False,braverock/blotter
quantstrat,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-14,301,https://github.com/braverock/quantstrat,Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research.,True,False,False,False,braverock/quantstrat
QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,10372,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,10373,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-11-19,207,https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab,"Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader.",True,False,False,False,jkirkby3/PROJ_Option_Pricing_Matlab
Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-12,20,https://github.com/rbeeli/Fastback.jl,Blazing fast Julia backtester.,True,False,False,False,rbeeli/Fastback.jl
Lucky.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,27,https://github.com/oliviermilla/Lucky.jl,"Modular, asynchronous trading engine in pure Julia.",True,False,False,False,oliviermilla/Lucky.jl
Strategems.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-06,167,https://github.com/dysonance/Strategems.jl,Quantitative systematic trading strategy development and backtesting.,True,False,False,False,dysonance/Strategems.jl
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,42065,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
TradeClaw,JavaScript,JavaScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,20,https://github.com/naimkatiman/tradeclaw,"Open-source AI trading signal platform with RSI/MACD/EMA confluence scoring, real-time signals for 10+ assets, self-hostable with one Docker command.",True,False,False,False,naimkatiman/tradeclaw
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-25,42066,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
TradeClaw,JavaScript,JavaScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-26,20,https://github.com/naimkatiman/tradeclaw,"Open-source AI trading signal platform with RSI/MACD/EMA confluence scoring, real-time signals for 10+ assets, self-hostable with one Docker command.",True,False,False,False,naimkatiman/tradeclaw
Jiji,Ruby,Ruby,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-01-22,249,https://github.com/unageanu/jiji2,Open Source Forex algorithmic trading framework using OANDA REST API.,True,False,False,False,unageanu/jiji2
Tai,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-06,494,https://github.com/fremantle-capital/tai,"Open Source composable, real time, market data and trade execution toolkit.",True,False,False,False,fremantle-capital/tai
Workbench,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2022-06-06,120,https://github.com/fremantle-industries/workbench,From Idea to Execution - Manage your trading operation across a globally distributed cluster.,True,False,False,False,fremantle-industries/workbench
@@ -227,20 +227,20 @@ TradeFrame,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesti
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. You can use python or c++ freely.",True,False,False,False,fasiondog/hikyuu
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,2026-04-23,18607,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
NexusFix,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-26,48,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,2026-04-23,18615,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
OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,error,0,https://github.com/cryptoSUN2049/openFinclaw,"AI-native one-person hedge fund platform with Rust trading engine. Natural language → strategy → backtest → execution in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline. Built on OpenClaw (68K+ stars).",True,False,False,False,cryptoSUN2049/openFinclaw
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
TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-26,20,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,2026-03-10,5669,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
mlfinlab,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2021-12-01,4696,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
DeepDow,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2024-01-24,1133,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,True,False,False,False,jankrepl/deepdow
QuantLibRisks,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-02,20,https://github.com/auto-differentiation/QuantLib-Risks-Py,Fast risks with QuantLib.,True,False,False,False,auto-differentiation/QuantLib-Risks-Py
XAD,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-02,19,https://github.com/auto-differentiation/xad-py,Automatic Differentation (AAD) Library.,True,False,False,False,auto-differentiation/xad-py
@@ -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,2026-04-25,8254,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
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-25,8257,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
@@ -301,7 +301,7 @@ timeSeries,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,20
rugarch,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-13,32,https://github.com/alexiosg/rugarch,Univariate GARCH Models.,True,False,False,False,alexiosg/rugarch
rmgarch,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-08-31,17,https://github.com/alexiosg/rmgarch,Multivariate GARCH Models.,True,False,False,False,alexiosg/rmgarch
tidypredict,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2021-09-28,3,https://github.com/edgararuiz/tidypredict,Run predictions inside the database <https://tidypredict.netlify.com/>.,True,False,False,False,edgararuiz/tidypredict
tidyquant,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-16,905,https://github.com/business-science/tidyquant,Bringing financial analysis to the tidyverse.,True,False,False,False,business-science/tidyquant
tidyquant,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-16,906,https://github.com/business-science/tidyquant,Bringing financial analysis to the tidyverse.,True,False,False,False,business-science/tidyquant
timetk,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-08-29,640,https://github.com/business-science/timetk,A toolkit for working with time series in R.,True,False,False,False,business-science/timetk
tibbletime,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2024-12-03,177,https://github.com/business-science/tibbletime,"Built on top of the tidyverse, tibbletime is an extension that allows for the creation of time aware tibbles through the setting of a time index.",True,False,False,False,business-science/tibbletime
matrixprofile,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2022-11-25,386,https://github.com/matrix-profile-foundation/matrixprofile,Time series data mining library built on top of the novel Matrix Profile data structure and algorithms.,True,False,False,False,matrix-profile-foundation/matrixprofile
@@ -309,11 +309,11 @@ 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,2026-04-23,66500,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
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-23,66503,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,2026-04-24,14902,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
defeatbeta-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-17,588,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
dexpaprika-sdk-python,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-14,9,https://github.com/coinpaprika/dexpaprika-sdk-python,"Free DEX data API client. 34 blockchains, 30M+ pools, 27M+ tokens, real-time SSE streaming, OHLCV. No API key needed.",True,False,False,False,coinpaprika/dexpaprika-sdk-python
Helium MCP,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-14,1,https://heliumtrades.com/mcp-page/,"Live stock/ETF/crypto data with AI-generated bull/bear cases and price forecasts, proprietary ML options pricing with probability ITM and fair value, and news bias scoring across 5,000+ sources. Available as MCP server or API. Free tier: 50 queries, no signup. [GitHub](https://github.com/connerlambden/helium-mcp)",True,False,False,False,connerlambden/helium-mcp
@@ -368,7 +368,7 @@ yahooquery,Python,Python,Market Data & Data Sources,Market Data & Data Sources,m
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
bbgbridge,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2020-01-07,2,https://github.com/ran404/bbgbridge,Easy to use Bloomberg Desktop API wrapper for Python.,True,False,False,False,ran404/bbgbridge
polygon.io,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-10,1411,https://github.com/polygon-io/client-python,A python library for Polygon.io financial data APIs.,True,False,False,False,polygon-io/client-python
polygon.io,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-10,1412,https://github.com/polygon-io/client-python,A python library for Polygon.io financial data APIs.,True,False,False,False,polygon-io/client-python
alpha_vantage,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-24,4790,https://github.com/RomelTorres/alpha_vantage,A python wrapper for Alpha Vantage API for financial data.,True,False,False,False,RomelTorres/alpha_vantage
oilpriceapi,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-29,0,https://github.com/OilpriceAPI/python-sdk,"Python SDK for real-time oil and commodity prices (WTI, Brent, Urals, natural gas, coal) with OpenBB integration.",True,False,False,False,OilpriceAPI/python-sdk
FinanceDataReader,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-11,1467,https://github.com/FinanceData/FinanceDataReader,"Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks.",True,False,False,False,FinanceData/FinanceDataReader
@@ -382,13 +382,13 @@ tessa,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market
pandaSDMX,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2023-02-25,133,https://github.com/dr-leo/pandaSDMX,"Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations.",True,False,False,False,dr-leo/pandaSDMX
cif,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-06-18,65,https://github.com/LenkaV/CIF,"Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators.",True,False,False,False,LenkaV/CIF
finagg,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-22,532,https://github.com/theOGognf/finagg,"finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML.",True,False,False,False,theOGognf/finagg
FinanceDatabase,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-19,7494,https://github.com/JerBouma/FinanceDatabase,"This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.",True,False,False,False,JerBouma/FinanceDatabase
FinanceDatabase,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-19,7496,https://github.com/JerBouma/FinanceDatabase,"This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.",True,False,False,False,JerBouma/FinanceDatabase
Trading Strategy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://github.com/tradingstrategy-ai/trading-strategy/,download price data for decentralised exchanges and lending protocols (DeFi).,True,False,False,False,
datamule-python,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-20,530,https://github.com/john-friedman/datamule-python,A package to work with SEC data. Incorporates datamule endpoints.,True,False,False,False,john-friedman/datamule-python
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,2026-04-24,2053,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
edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-24,2054,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
@@ -413,11 +413,11 @@ marketstore,Golang,Golang,Market Data & Data Sources,Market Data & Data Sources,
fin-stream,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-23,5,https://github.com/Mattbusel/fin-stream,"Real-time market data streaming in Rust: lock-free SPSC ring buffer, 100K+ ticks/second ingestion, multi-timeframe OHLCV construction, and Lorentz transforms on financial time series.",True,False,False,False,Mattbusel/fin-stream
finalytics,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-02-17,69,https://github.com/Nnamdi-sys/finalytics,A rust library for financial data analysis.,True,False,False,False,Nnamdi-sys/finalytics
Coinugget,Web,Web,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://coinugget.com,"Real-time RSI signals, price action & volume spikes dashboard across multiple exchanges. Free, no sign-up required.",False,False,False,False,
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-04-25,1601,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-04-25,1602,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
polymarket-whales,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-03-20,43,https://github.com/al1enjesus/polymarket-whales,Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book.,True,False,False,False,al1enjesus/polymarket-whales
Polymarket Scanner API,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-03-14,3,https://github.com/vesper-astrena/polymarket-scanner-api,"Real-time arbitrage detection API for Polymarket prediction markets, scanning 12,000+ markets for mispricings.",True,False,False,False,vesper-astrena/polymarket-scanner-api
SimpleFunctions,JavaScript,JavaScript,Prediction Markets,Prediction Markets,prediction-markets,2026-04-17,8,https://github.com/spfunctions/simplefunctions-cli,"Prediction market intelligence CLI for Kalshi and Polymarket. Causal thesis models, edge detection, 24/7 orderbook monitoring, what-if scenarios, and trade execution. MCP server for AI agent integration.",True,False,False,False,spfunctions/simplefunctions-cli
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-04-25,1601,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-04-25,1602,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
prediction-market-maker,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-04-10,9,https://github.com/octavi42/prediction-market-maker,"Open-source market-making strategy that placed #2 in Paradigm's prediction market challenge, with full strategy evolution and analysis.",True,False,False,False,octavi42/prediction-market-maker
exchange_calendars,Python,Python,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-04-25,617,https://github.com/gerrymanoim/exchange_calendars,Stock Exchange Trading Calendars.,True,False,False,False,gerrymanoim/exchange_calendars
bizdays,Python,Python,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-03-08,89,https://github.com/wilsonfreitas/python-bizdays,Business days calculations and utilities.,True,False,False,False,wilsonfreitas/python-bizdays
@@ -468,7 +468,7 @@ FinanceHub,,,"Reproducing Works, Training & Books","Reproducing Works, Training
Python_Option_Pricing,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-13,840,https://github.com/dedwards25/Python_Option_Pricing,"An library to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options.",True,False,False,False,dedwards25/Python_Option_Pricing
python-training,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-11-27,12956,https://github.com/jpmorganchase/python-training,J.P. Morgan's Python training for business analysts and traders.,True,False,False,False,jpmorganchase/python-training
Stock_Analysis_For_Quant,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-04,2003,https://github.com/LastAncientOne/Stock_Analysis_For_Quant,"Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau.",True,False,False,False,LastAncientOne/Stock_Analysis_For_Quant
algorithmic-trading-with-python,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2021-06-01,3343,https://github.com/chrisconlan/algorithmic-trading-with-python,Source code for Algorithmic Trading with Python (2020) by Chris Conlan.,True,False,False,False,chrisconlan/algorithmic-trading-with-python
algorithmic-trading-with-python,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2021-06-01,3345,https://github.com/chrisconlan/algorithmic-trading-with-python,Source code for Algorithmic Trading with Python (2020) by Chris Conlan.,True,False,False,False,chrisconlan/algorithmic-trading-with-python
MEDIUM_NoteBook,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-09-22,2136,https://github.com/cerlymarco/MEDIUM_NoteBook,Repository containing notebooks of [cerlymarco](https://github.com/cerlymarco)'s posts on Medium.,True,False,False,False,cerlymarco/MEDIUM_NoteBook
QuantFinance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-09-02,609,https://github.com/PythonCharmers/QuantFinance,Training materials in quantitative finance.,True,False,False,False,PythonCharmers/QuantFinance
IPythonScripts,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-02-28,177,https://github.com/mgroncki/IPythonScripts,"Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning.",True,False,False,False,mgroncki/IPythonScripts
1 project language languages category section section_slug last_commit stars url description github cran pypi commercial repo
2 numpy Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-24 31892 https://www.numpy.org NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy) True False False False numpy/numpy
3 scipy Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-25 14634 https://www.scipy.org SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy) True False False False scipy/scipy
4 pandas Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-25 48570 48571 https://pandas.pydata.org pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas) True False False False pandas-dev/pandas
5 polars Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-25 38301 38304 https://docs.pola.rs/ Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars) True False False False pola-rs/polars
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 2026-04-25 14582 14583 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 9595 9596 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
33 tia Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-06-05 429 https://github.com/bpsmith/tia Toolkit for integration and analysis. True False False False bpsmith/tia
34 pysabr Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-04-21 597 https://github.com/ynouri/pysabr SABR model Python implementation. True False False False ynouri/pysabr
35 FinancePy Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-04-25 2900 https://github.com/domokane/FinancePy A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. True False False False domokane/FinancePy
36 gs-quant Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-04-23 10145 10146 https://github.com/goldmansachs/gs-quant Python toolkit for quantitative finance. True False False False goldmansachs/gs-quant
37 willowtree Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2018-07-14 353 https://github.com/federicomariamassari/willowtree Robust and flexible Python implementation of the willow tree lattice for derivatives pricing. True False False False federicomariamassari/willowtree
38 financial-engineering Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-11-20 510 https://github.com/federicomariamassari/financial-engineering Applications of Monte Carlo methods to financial engineering projects, in Python. True False False False federicomariamassari/financial-engineering
39 optlib Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-11-18 1358 https://github.com/dbrojas/optlib A library for financial options pricing written in Python. True False False False dbrojas/optlib
103 lppls Python Python Technical Indicators Technical Indicators technical-indicators 2026-02-15 454 https://github.com/Boulder-Investment-Technologies/lppls A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model. True False False False Boulder-Investment-Technologies/lppls
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 11907 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 5020 5021 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
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
120 IndicatorGo Golang Golang Technical Indicators Technical Indicators technical-indicators 2026-04-20 843 842 https://github.com/cinar/indicator IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading. True False False False cinar/indicator
121 TradeAggregation Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-02-05 115 https://github.com/MathisWellmann/trade_aggregation-rs Aggregate trades into user-defined candles using information driven rules. True False False False MathisWellmann/trade_aggregation-rs
122 SlidingFeatures Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-02-18 74 https://github.com/MathisWellmann/sliding_features-rs Chainable tree-like sliding windows for signal processing and technical analysis. True False False False MathisWellmann/sliding_features-rs
123 fin-primitives Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-03-23 8 https://github.com/Mattbusel/fin-primitives Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor. True False False False Mattbusel/fin-primitives
124 income-desk Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-24 5 https://github.com/nitinblue/income-desk Systematic options trading intelligence for small accounts with desk-based portfolio management, pre-trade validation, and multi-broker consolidation. True False False False nitinblue/income-desk
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 2026-04-26 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 2605 2641 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 4 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 2026-04-24 947 949 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 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 19679 https://github.com/quantopian/zipline Pythonic algorithmic trading library. True False False False quantopian/zipline
136 zipline-reloaded Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-11-13 1738 1739 https://github.com/stefan-jansen/zipline-reloaded Zipline, a Pythonic Algorithmic Trading Library. True False False False stefan-jansen/zipline-reloaded
137 QuantSoftware Toolkit Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2016-10-07 477 https://github.com/QuantSoftware/QuantSoftwareToolkit Python-based open source software framework designed to support portfolio construction and management. True False False False QuantSoftware/QuantSoftwareToolkit
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
147 finmarketpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-16 3745 https://github.com/cuemacro/finmarketpy Python library for backtesting trading strategies and analyzing financial markets. True False False False cuemacro/finmarketpy
148 binary-martingale Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-10-16 48 https://github.com/metaperl/binary-martingale Computer program to automatically trade binary options martingale style. True False False False metaperl/binary-martingale
149 fooltrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2020-07-19 1187 https://github.com/foolcage/fooltrader the project using big-data technology to provide an uniform way to analyze the whole market. True False False False foolcage/fooltrader
150 zvt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-01 4112 4111 https://github.com/zvtvz/zvt the project using sql, pandas to provide an uniform and extendable way to record data, computing factors, select securities, backtesting, realtime trading and it could show all of them in clearly charts in realtime. True False False False zvtvz/zvt
151 pylivetrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2022-04-11 683 https://github.com/alpacahq/pylivetrader zipline-compatible live trading library. True False False False alpacahq/pylivetrader
152 pipeline-live Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2022-04-11 206 https://github.com/alpacahq/pipeline-live zipline's pipeline capability with IEX for live trading. True False False False alpacahq/pipeline-live
153 zipline-extensions Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2018-09-17 18 https://github.com/quantrocket-llc/zipline-extensions Zipline extensions and adapters for QuantRocket. True False False False quantrocket-llc/zipline-extensions
156 NowTrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-02-07 101 https://github.com/edouardpoitras/NowTrade Python library for backtesting technical/mechanical strategies in the stock and currency markets. True False False False edouardpoitras/NowTrade
157 pinkfish Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-01 293 https://github.com/fja05680/pinkfish A backtester and spreadsheet library for security analysis. True False False False fja05680/pinkfish
158 PRISM-INSIGHT Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-24 558 https://github.com/dragon1086/prism-insight AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets. True False False False dragon1086/prism-insight
159 FinClaw Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-18 8 9 https://github.com/NeuZhou/finclaw AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests. True False False False NeuZhou/finclaw
160 aat Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-30 802 https://github.com/timkpaine/aat Async Algorithmic Trading Engine. True False False False timkpaine/aat
161 Backtesting.py Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 0 https://kernc.github.io/backtesting.py/ Backtest trading strategies in Python. False False False False
162 catalyst Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-09-22 2560 https://github.com/enigmampc/catalyst An Algorithmic Trading Library for Crypto-Assets in Python. True False False False enigmampc/catalyst
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 49369 49375 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 3345 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 41245 41247 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 7785 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 14914 14916 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 5789 5790 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
181 fast-trade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-11 545 https://github.com/jrmeier/fast-trade A library built with backtest portability and performance in mind for backtest trading strategies. True False False False jrmeier/fast-trade
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 7283 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 18607 18615 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
189 PyBroker Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-05 3273 https://github.com/edtechre/pybroker Algorithmic Trading with Machine Learning. True False False False edtechre/pybroker
190 OctoBot Script Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-30 40 https://github.com/Drakkar-Software/OctoBot-Script A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading. True False False False Drakkar-Software/OctoBot-Script
191 hftbacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-12-23 3987 3988 https://github.com/nkaz001/hftbacktest A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books. True False False False nkaz001/hftbacktest
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 2026-04-26 22261 22263 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
211 QuantTools R R Trading & Backtesting Trading & Backtesting trading-backtesting 0 https://quanttools.bitbucket.io/_site/index.html Enhanced Quantitative Trading Modelling. False False False False
212 blotter R R Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-13 117 https://github.com/braverock/blotter Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed. True False False False braverock/blotter
213 quantstrat R R Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-14 301 https://github.com/braverock/quantstrat Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research. True False False False braverock/quantstrat
214 QUANTAXIS Matlab Matlab Trading & Backtesting Trading & Backtesting trading-backtesting 2026-02-28 10372 10373 https://github.com/yutiansut/quantaxis Integrated Quantitative Toolbox with Matlab. True False False False yutiansut/quantaxis
215 PROJ_Option_Pricing_Matlab Matlab Matlab Trading & Backtesting Trading & Backtesting trading-backtesting 2024-11-19 207 https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader. True False False False jkirkby3/PROJ_Option_Pricing_Matlab
216 Fastback.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-12 20 https://github.com/rbeeli/Fastback.jl Blazing fast Julia backtester. True False False False rbeeli/Fastback.jl
217 Lucky.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 27 https://github.com/oliviermilla/Lucky.jl Modular, asynchronous trading engine in pure Julia. True False False False oliviermilla/Lucky.jl
218 Strategems.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2021-04-06 167 https://github.com/dysonance/Strategems.jl Quantitative systematic trading strategy development and backtesting. True False False False dysonance/Strategems.jl
219 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 42065 42066 https://github.com/ccxt/ccxt A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges. True False False False ccxt/ccxt
220 TradeClaw JavaScript JavaScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-25 2026-04-26 20 https://github.com/naimkatiman/tradeclaw Open-source AI trading signal platform with RSI/MACD/EMA confluence scoring, real-time signals for 10+ assets, self-hostable with one Docker command. True False False False naimkatiman/tradeclaw
221 Jiji Ruby Ruby Trading & Backtesting Trading & Backtesting trading-backtesting 2019-01-22 249 https://github.com/unageanu/jiji2 Open Source Forex algorithmic trading framework using OANDA REST API. True False False False unageanu/jiji2
222 Tai Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-06 494 https://github.com/fremantle-capital/tai Open Source composable, real time, market data and trade execution toolkit. True False False False fremantle-capital/tai
223 Workbench Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2022-06-06 120 https://github.com/fremantle-industries/workbench From Idea to Execution - Manage your trading operation across a globally distributed cluster. True False False False fremantle-industries/workbench
227 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. You can use python or c++ freely. 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 2026-04-26 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 18607 18615 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 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
236 OpenFinClaw Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting error 0 https://github.com/cryptoSUN2049/openFinclaw AI-native one-person hedge fund platform with Rust trading engine. Natural language → strategy → backtest → execution in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline. Built on OpenClaw (68K+ stars). True False False False cryptoSUN2049/openFinclaw
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 2026-04-26 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 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 4696 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
244 DeepDow Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2024-01-24 1133 https://github.com/jankrepl/deepdow Portfolio optimization with deep learning. True False False False jankrepl/deepdow
245 QuantLibRisks Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-02 20 https://github.com/auto-differentiation/QuantLib-Risks-Py Fast risks with QuantLib. True False False False auto-differentiation/QuantLib-Risks-Py
246 XAD Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-02 19 https://github.com/auto-differentiation/xad-py Automatic Differentation (AAD) Library. True False False False auto-differentiation/xad-py
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 8254 8257 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
301 rugarch R R Time Series Analysis Time Series Analysis time-series-analysis 2026-03-13 32 https://github.com/alexiosg/rugarch Univariate GARCH Models. True False False False alexiosg/rugarch
302 rmgarch R R Time Series Analysis Time Series Analysis time-series-analysis 2025-08-31 17 https://github.com/alexiosg/rmgarch Multivariate GARCH Models. True False False False alexiosg/rmgarch
303 tidypredict R R Time Series Analysis Time Series Analysis time-series-analysis 2021-09-28 3 https://github.com/edgararuiz/tidypredict Run predictions inside the database <https://tidypredict.netlify.com/>. True False False False edgararuiz/tidypredict
304 tidyquant R R Time Series Analysis Time Series Analysis time-series-analysis 2026-03-16 905 906 https://github.com/business-science/tidyquant Bringing financial analysis to the tidyverse. True False False False business-science/tidyquant
305 timetk R R Time Series Analysis Time Series Analysis time-series-analysis 2025-08-29 640 https://github.com/business-science/timetk A toolkit for working with time series in R. True False False False business-science/timetk
306 tibbletime R R Time Series Analysis Time Series Analysis time-series-analysis 2024-12-03 177 https://github.com/business-science/tibbletime Built on top of the tidyverse, tibbletime is an extension that allows for the creation of time aware tibbles through the setting of a time index. True False False False business-science/tibbletime
307 matrixprofile R R Time Series Analysis Time Series Analysis time-series-analysis 2022-11-25 386 https://github.com/matrix-profile-foundation/matrixprofile Time series data mining library built on top of the novel Matrix Profile data structure and algorithms. True False False False matrix-profile-foundation/matrixprofile
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 66500 66503 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 14836 14902 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 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 2026-04-17 587 588 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
318 dexpaprika-sdk-python Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-14 9 https://github.com/coinpaprika/dexpaprika-sdk-python Free DEX data API client. 34 blockchains, 30M+ pools, 27M+ tokens, real-time SSE streaming, OHLCV. No API key needed. True False False False coinpaprika/dexpaprika-sdk-python
319 Helium MCP Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-14 1 https://heliumtrades.com/mcp-page/ Live stock/ETF/crypto data with AI-generated bull/bear cases and price forecasts, proprietary ML options pricing with probability ITM and fair value, and news bias scoring across 5,000+ sources. Available as MCP server or API. Free tier: 50 queries, no signup. [GitHub](https://github.com/connerlambden/helium-mcp) True False False False connerlambden/helium-mcp
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
370 bbgbridge Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2020-01-07 2 https://github.com/ran404/bbgbridge Easy to use Bloomberg Desktop API wrapper for Python. True False False False ran404/bbgbridge
371 polygon.io Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-10 1411 1412 https://github.com/polygon-io/client-python A python library for Polygon.io financial data APIs. True False False False polygon-io/client-python
372 alpha_vantage Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-24 4790 https://github.com/RomelTorres/alpha_vantage A python wrapper for Alpha Vantage API for financial data. True False False False RomelTorres/alpha_vantage
373 oilpriceapi Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-29 0 https://github.com/OilpriceAPI/python-sdk Python SDK for real-time oil and commodity prices (WTI, Brent, Urals, natural gas, coal) with OpenBB integration. True False False False OilpriceAPI/python-sdk
374 FinanceDataReader Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-11 1467 https://github.com/FinanceData/FinanceDataReader Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks. True False False False FinanceData/FinanceDataReader
382 pandaSDMX Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2023-02-25 133 https://github.com/dr-leo/pandaSDMX Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations. True False False False dr-leo/pandaSDMX
383 cif Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-06-18 65 https://github.com/LenkaV/CIF Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators. True False False False LenkaV/CIF
384 finagg Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-22 532 https://github.com/theOGognf/finagg finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. True False False False theOGognf/finagg
385 FinanceDatabase Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-19 7494 7496 https://github.com/JerBouma/FinanceDatabase This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. True False False False JerBouma/FinanceDatabase
386 Trading Strategy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://github.com/tradingstrategy-ai/trading-strategy/ download price data for decentralised exchanges and lending protocols (DeFi). True False False False
387 datamule-python Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-20 530 https://github.com/john-friedman/datamule-python A package to work with SEC data. Incorporates datamule endpoints. True False False False john-friedman/datamule-python
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 2053 2054 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
413 fin-stream Rust Rust Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-23 5 https://github.com/Mattbusel/fin-stream Real-time market data streaming in Rust: lock-free SPSC ring buffer, 100K+ ticks/second ingestion, multi-timeframe OHLCV construction, and Lorentz transforms on financial time series. True False False False Mattbusel/fin-stream
414 finalytics Rust Rust Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-02-17 69 https://github.com/Nnamdi-sys/finalytics A rust library for financial data analysis. True False False False Nnamdi-sys/finalytics
415 Coinugget Web Web Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://coinugget.com Real-time RSI signals, price action & volume spikes dashboard across multiple exchanges. Free, no sign-up required. False False False False
416 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-04-25 1601 1602 https://github.com/pmxt-dev/pmxt The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more. True False False False pmxt-dev/pmxt
417 polymarket-whales Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-20 43 https://github.com/al1enjesus/polymarket-whales Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book. True False False False al1enjesus/polymarket-whales
418 Polymarket Scanner API Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-14 3 https://github.com/vesper-astrena/polymarket-scanner-api Real-time arbitrage detection API for Polymarket prediction markets, scanning 12,000+ markets for mispricings. True False False False vesper-astrena/polymarket-scanner-api
419 SimpleFunctions JavaScript JavaScript Prediction Markets Prediction Markets prediction-markets 2026-04-17 8 https://github.com/spfunctions/simplefunctions-cli Prediction market intelligence CLI for Kalshi and Polymarket. Causal thesis models, edge detection, 24/7 orderbook monitoring, what-if scenarios, and trade execution. MCP server for AI agent integration. True False False False spfunctions/simplefunctions-cli
420 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-04-25 1601 1602 https://github.com/pmxt-dev/pmxt The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more. True False False False pmxt-dev/pmxt
421 prediction-market-maker Python Python Prediction Markets Prediction Markets prediction-markets 2026-04-10 9 https://github.com/octavi42/prediction-market-maker Open-source market-making strategy that placed #2 in Paradigm's prediction market challenge, with full strategy evolution and analysis. True False False False octavi42/prediction-market-maker
422 exchange_calendars Python Python Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-04-25 617 https://github.com/gerrymanoim/exchange_calendars Stock Exchange Trading Calendars. True False False False gerrymanoim/exchange_calendars
423 bizdays Python Python Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-03-08 89 https://github.com/wilsonfreitas/python-bizdays Business days calculations and utilities. True False False False wilsonfreitas/python-bizdays
468 Python_Option_Pricing Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-05-13 840 https://github.com/dedwards25/Python_Option_Pricing An library to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options. True False False False dedwards25/Python_Option_Pricing
469 python-training Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2023-11-27 12956 https://github.com/jpmorganchase/python-training J.P. Morgan's Python training for business analysts and traders. True False False False jpmorganchase/python-training
470 Stock_Analysis_For_Quant Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-05-04 2003 https://github.com/LastAncientOne/Stock_Analysis_For_Quant Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau. True False False False LastAncientOne/Stock_Analysis_For_Quant
471 algorithmic-trading-with-python Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2021-06-01 3343 3345 https://github.com/chrisconlan/algorithmic-trading-with-python Source code for Algorithmic Trading with Python (2020) by Chris Conlan. True False False False chrisconlan/algorithmic-trading-with-python
472 MEDIUM_NoteBook Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-09-22 2136 https://github.com/cerlymarco/MEDIUM_NoteBook Repository containing notebooks of [cerlymarco](https://github.com/cerlymarco)'s posts on Medium. True False False False cerlymarco/MEDIUM_NoteBook
473 QuantFinance Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-09-02 609 https://github.com/PythonCharmers/QuantFinance Training materials in quantitative finance. True False False False PythonCharmers/QuantFinance
474 IPythonScripts Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-02-28 177 https://github.com/mgroncki/IPythonScripts Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning. True False False False mgroncki/IPythonScripts