This commit is contained in:
wilsonfreitas
2026-04-23 01:32:07 +00:00
parent 8da8136a18
commit abe5aa602e
2 changed files with 50 additions and 50 deletions
+33 -33
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="52">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="54">
<td class="col-num">125</td>
<td class="col-name">
<a href="https://github.com/rmbell09-lang/tradesight" target="_blank" rel="noopener">TradeSight</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="52 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> 52</span></td>
<td class="col-stars"><span class="stars" title="54 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> 54</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="Python">python</button>
@@ -3383,13 +3383,13 @@
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="225">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="227">
<td class="col-num">128</td>
<td class="col-name">
<a href="https://github.com/alexanderwanyoike/the0" target="_blank" rel="noopener">the0</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="225 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> 225</span></td>
<td class="col-stars"><span class="stars" title="227 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> 227</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>
@@ -3409,13 +3409,13 @@
</div>
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</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="930">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="931">
<td class="col-num">129</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="930 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> 930</span></td>
<td class="col-stars"><span class="stars" title="931 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> 931</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>
@@ -4240,13 +4240,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6981">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6982">
<td class="col-num">161</td>
<td class="col-name">
<a href="https://github.com/ranaroussi/quantstats" target="_blank" rel="noopener">quantstats</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="6,981 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> 7k</span></td>
<td class="col-stars"><span class="stars" title="6,982 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> 7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-01-13">2026-01-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4273,7 +4273,7 @@
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="28 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> 28</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</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>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Trading &amp; Backtesting">trading-backtesting</button>
@@ -4344,13 +4344,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49173">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49178">
<td class="col-num">165</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="49,173 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> 49.2k</span></td>
<td class="col-stars"><span class="stars" title="49,178 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> 49.2k</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>
@@ -4396,13 +4396,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41135">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41138">
<td class="col-num">167</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="41,135 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> 41.1k</span></td>
<td class="col-stars"><span class="stars" title="41,138 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> 41.1k</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>
@@ -4474,13 +4474,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7719">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7720">
<td class="col-num">170</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="7,719 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> 7.7k</span></td>
<td class="col-stars"><span class="stars" title="7,720 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> 7.7k</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>
@@ -4996,13 +4996,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="39734">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="39736">
<td class="col-num">190</td>
<td class="col-name">
<a href="https://github.com/vnpy/vnpy" target="_blank" rel="noopener">vnpy</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="39,734 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> 39.7k</span></td>
<td class="col-stars"><span class="stars" title="39,736 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> 39.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-01-14">2026-01-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5081,7 +5081,7 @@
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="22,182 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> 22.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
<td class="col-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>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -5700,13 +5700,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42021">
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42020">
<td class="col-num">217</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="42,021 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> 42k</span></td>
<td class="col-stars"><span class="stars" title="42,020 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> 42k</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="JavaScript">javascript</button>
@@ -6041,13 +6041,13 @@
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</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9755">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9758">
<td class="col-num">230</td>
<td class="col-name">
<a href="https://github.com/StockSharp/StockSharp" target="_blank" rel="noopener">StockSharp</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="9,755 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.8k</span></td>
<td class="col-stars"><span class="stars" title="9,758 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-19">2026-04-19</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6251,13 +6251,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="5662">
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="5661">
<td class="col-num">238</td>
<td class="col-name">
<a href="https://github.com/robertmartin8/PyPortfolioOpt" target="_blank" rel="noopener">PyPortfolioOpt</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="5,662 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.7k</span></td>
<td class="col-stars"><span class="stars" title="5,661 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-10">2026-03-10</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -7601,13 +7601,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="20141">
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="20142">
<td class="col-num">290</td>
<td class="col-name">
<a href="https://github.com/facebook/prophet" target="_blank" rel="noopener">Facebook Prophet</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="20,141 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> 20.1k</span></td>
<td class="col-stars"><span class="stars" title="20,142 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> 20.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-02">2026-02-02</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8121,14 +8121,14 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66344">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66345">
<td class="col-num">310</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="66,344 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> 66.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-20">2026-04-20</span></td>
<td class="col-stars"><span class="stars" title="66,345 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> 66.3k</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>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Market Data &amp; Data Sources">market-data-data-sources</button>
@@ -8147,13 +8147,13 @@
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</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="13087">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="13133">
<td class="col-num">311</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="13,087 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> 13.1k</span></td>
<td class="col-stars"><span class="stars" title="13,133 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> 13.1k</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>
@@ -12819,13 +12819,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="2571">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="2572">
<td class="col-num">493</td>
<td class="col-name">
<a href="https://github.com/mfrdixon/ML_Finance_Codes" target="_blank" rel="noopener">ML_Finance_Codes</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="2,571 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> 2.6k</span></td>
<td class="col-stars"><span class="stars" title="2,572 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: 2020-06-13">2020-06-13</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>
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@@ -123,11 +123,11 @@ SlidingFeatures,Rust,Rust,Technical Indicators,Technical Indicators,technical-in
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,2026-04-22,4,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,2026-04-20,52,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
TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-20,54,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,2026-04-17,23,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,2026-04-21,2302,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
the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,225,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,2026-04-22,930,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
the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,227,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,2026-04-22,931,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,2026-04-22,1356,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,2024-06-24,3351,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
@@ -159,16 +159,16 @@ FinClaw,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backte
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,2021-09-22,2556,https://github.com/enigmampc/catalyst,An Algorithmic Trading Library for Crypto-Assets in Python.,True,False,False,False,enigmampc/catalyst
quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,6981,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python.",True,False,False,False,ranaroussi/quantstats
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,28,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,6982,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python.",True,False,False,False,ranaroussi/quantstats
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,28,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,2021-03-24,2254,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,2026-04-21,49173,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,49178,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,2021-06-01,3287,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,2026-04-22,41135,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,41138,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,2023-03-05,17122,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,2025-08-24,1717,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,2026-04-09,7719,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,2026-04-09,7720,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,2026-04-15,6319,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,2026-04-05,14848,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
@@ -188,10 +188,10 @@ PyLOB,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtest
PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,3270,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,2025-12-23,3970,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,2026-01-14,39734,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,39736,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,2026-04-21,1665,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,2023-09-15,1750,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,2026-04-22,22182,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,2026-04-23,22182,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,2026-04-22,3098,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
@@ -215,7 +215,7 @@ PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtes
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,2026-04-21,42021,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,42020,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,2026-04-23,20,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
@@ -228,7 +228,7 @@ OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-
PandoraTrader,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-07-29,1386,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,2026-04-10,47,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,2026-04-22,18537,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,2026-04-19,9755,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
StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,9758,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,2026-03-05,2086,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
@@ -236,7 +236,7 @@ OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,tra
Sextant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,0,https://github.com/raphaub-hub/SEXTANT,"Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support.",True,False,False,False,raphaub-hub/SEXTANT
TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,20,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,2026-04-21,1939,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,2026-03-10,5662,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
PyPortfolioOpt,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-10,5661,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,2020-09-21,3199,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,2021-12-01,4688,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
@@ -288,7 +288,7 @@ statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series-
dynts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2016-11-02,87,https://github.com/quantmind/dynts,Python package for timeseries analysis and manipulation.,True,False,False,False,quantmind/dynts
PyFlux,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2018-12-16,2141,https://github.com/RJT1990/pyflux,Python library for timeseries modelling and inference (frequentist and Bayesian) on models.,True,False,False,False,RJT1990/pyflux
tsfresh,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-15,9175,https://github.com/blue-yonder/tsfresh,Automatic extraction of relevant features from time series.,True,False,False,False,blue-yonder/tsfresh
Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20141,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet
Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20142,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet
tsmoothie,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2023-11-23,770,https://github.com/cerlymarco/tsmoothie,A python library for time-series smoothing and outlier detection in a vectorized way.,True,False,False,False,cerlymarco/tsmoothie
pmdarima,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-17,1720,https://github.com/alkaline-ml/pmdarima,"A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",True,False,False,False,alkaline-ml/pmdarima
gluon-ts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-17,5170,https://github.com/awslabs/gluon-ts,vProbabilistic time series modeling in Python.,True,False,False,False,awslabs/gluon-ts
@@ -308,8 +308,8 @@ 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,2026-04-21,3,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,2026-04-20,66344,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,2026-04-22,13087,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,2026-04-23,66345,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,2026-04-22,13133,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,2026-04-22,23146,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,2026-04-17,580,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
@@ -491,7 +491,7 @@ Technical Analysis and Feature Engineering,,,"Reproducing Works, Training & Book
Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-10-05,148,https://github.com/differential-machine-learning/notebooks,"Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.",True,False,False,False,differential-machine-learning/notebooks
systematictradingexamples,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-07-22,474,https://github.com/robcarver17/systematictradingexamples,Examples of code related to book [Systematic Trading](www.systematictrading.org) and [blog](http://qoppac.blogspot.com).,True,False,False,False,robcarver17/systematictradingexamples
pysystemtrade_examples,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2018-02-21,268,https://github.com/robcarver17/pysystemtrade_examples,Examples using pysystemtrade for Robert Carver's [blog](http://qoppac.blogspot.com).,True,False,False,False,robcarver17/pysystemtrade_examples
ML_Finance_Codes,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-06-13,2571,https://github.com/mfrdixon/ML_Finance_Codes,Machine Learning in Finance: From Theory to Practice Book.,True,False,False,False,mfrdixon/ML_Finance_Codes
ML_Finance_Codes,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-06-13,2572,https://github.com/mfrdixon/ML_Finance_Codes,Machine Learning in Finance: From Theory to Practice Book.,True,False,False,False,mfrdixon/ML_Finance_Codes
Hands-On Machine Learning for Algorithmic Trading,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-01-18,1827,https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading,"Hands-On Machine Learning for Algorithmic Trading, published by Packt.",True,False,False,False,packtpublishing/hands-on-machine-learning-for-algorithmic-trading
financialnoob-misc,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-08-26,28,https://github.com/financialnoob/misc,Codes from @financialnoob's posts.,True,False,False,False,financialnoob/misc
MesoSim Options Trading Strategy Library,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-04-06,20,https://github.com/deltaray-io/strategy-library,Free and public Options Trading strategy library for MesoSim.,True,False,False,False,deltaray-io/strategy-library
1 project language languages category section section_slug last_commit stars url description github cran pypi commercial repo
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 2026-04-22 4 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 52 54 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 2026-04-17 23 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 2302 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 the0 Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-19 225 227 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
130 Investing algorithm framework Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 930 931 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
131 Lumibot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 1356 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
132 QSTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-24 3351 https://github.com/mhallsmoore/qstrader QSTrader backtesting simulation engine. True False False False mhallsmoore/qstrader
133 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
159 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
160 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
161 catalyst Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-09-22 2556 https://github.com/enigmampc/catalyst An Algorithmic Trading Library for Crypto-Assets in Python. True False False False enigmampc/catalyst
162 quantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-13 6981 6982 https://github.com/ranaroussi/quantstats Portfolio analytics for quants, written in Python. True False False False ranaroussi/quantstats
163 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 2026-04-23 28 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
164 qtpylib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-03-24 2254 https://github.com/ranaroussi/qtpylib QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>. True False False False ranaroussi/qtpylib
165 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
166 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-21 49173 49178 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
167 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3287 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
168 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 41135 41138 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
169 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 17122 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
170 AlphaPy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-08-24 1717 https://github.com/ScottfreeLLC/AlphaPy Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost. True False False False ScottfreeLLC/AlphaPy
171 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-09 7719 7720 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
172 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-15 6319 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
173 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 14848 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
174 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
188 PyBroker Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-05 3270 https://github.com/edtechre/pybroker Algorithmic Trading with Machine Learning. True False False False edtechre/pybroker
189 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
190 hftbacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-12-23 3970 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
191 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-14 39734 39736 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
192 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-21 1665 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
193 fastquant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-15 1750 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
194 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 2026-04-23 22182 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
195 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
196 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
197 Hikyuu Python Python,C++ Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 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
215 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
216 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
217 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
218 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-21 42021 42020 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
219 TradeClaw JavaScript JavaScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 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
220 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
221 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
228 PandoraTrader CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2025-07-29 1386 https://github.com/pegasusTrader/PandoraTrader A C++ CTP trading framework, with very clear logic. True False False False pegasusTrader/PandoraTrader
229 NexusFix CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-10 47 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
230 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 18537 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
231 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-19 9755 9758 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
232 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
233 Barter Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-05 2086 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
234 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 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
237 TradeClaw Node.js Node.js,TypeScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 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
238 skfolio Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-21 1939 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
239 PyPortfolioOpt Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-10 5662 5661 https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimization in python, including classical efficient frontier and advanced methods. True False False False robertmartin8/PyPortfolioOpt
240 Eiten Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2020-09-21 3199 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
241 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
242 mlfinlab Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2021-12-01 4688 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
288 dynts Python Python Time Series Analysis Time Series Analysis time-series-analysis 2016-11-02 87 https://github.com/quantmind/dynts Python package for timeseries analysis and manipulation. True False False False quantmind/dynts
289 PyFlux Python Python Time Series Analysis Time Series Analysis time-series-analysis 2018-12-16 2141 https://github.com/RJT1990/pyflux Python library for timeseries modelling and inference (frequentist and Bayesian) on models. True False False False RJT1990/pyflux
290 tsfresh Python Python Time Series Analysis Time Series Analysis time-series-analysis 2025-11-15 9175 https://github.com/blue-yonder/tsfresh Automatic extraction of relevant features from time series. True False False False blue-yonder/tsfresh
291 Facebook Prophet Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-02-02 20141 20142 https://github.com/facebook/prophet Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. True False False False facebook/prophet
292 tsmoothie Python Python Time Series Analysis Time Series Analysis time-series-analysis 2023-11-23 770 https://github.com/cerlymarco/tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way. True False False False cerlymarco/tsmoothie
293 pmdarima Python Python Time Series Analysis Time Series Analysis time-series-analysis 2025-11-17 1720 https://github.com/alkaline-ml/pmdarima A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function. True False False False alkaline-ml/pmdarima
294 gluon-ts Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-03-17 5170 https://github.com/awslabs/gluon-ts vProbabilistic time series modeling in Python. True False False False awslabs/gluon-ts
308 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
309 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
310 BTC Orderbook Microstructure Research Jupyter Notebook Jupyter Notebook Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-21 3 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
311 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-20 2026-04-23 66344 66345 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
312 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-22 13087 13133 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
313 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-22 23146 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
314 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
315 defeatbeta-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-17 580 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
491 Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2022-10-05 148 https://github.com/differential-machine-learning/notebooks Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. True False False False differential-machine-learning/notebooks
492 systematictradingexamples Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2020-07-22 474 https://github.com/robcarver17/systematictradingexamples Examples of code related to book [Systematic Trading](www.systematictrading.org) and [blog](http://qoppac.blogspot.com). True False False False robcarver17/systematictradingexamples
493 pysystemtrade_examples Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2018-02-21 268 https://github.com/robcarver17/pysystemtrade_examples Examples using pysystemtrade for Robert Carver's [blog](http://qoppac.blogspot.com). True False False False robcarver17/pysystemtrade_examples
494 ML_Finance_Codes Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2020-06-13 2571 2572 https://github.com/mfrdixon/ML_Finance_Codes Machine Learning in Finance: From Theory to Practice Book. True False False False mfrdixon/ML_Finance_Codes
495 Hands-On Machine Learning for Algorithmic Trading Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2023-01-18 1827 https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading Hands-On Machine Learning for Algorithmic Trading, published by Packt. True False False False packtpublishing/hands-on-machine-learning-for-algorithmic-trading
496 financialnoob-misc Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-08-26 28 https://github.com/financialnoob/misc Codes from @financialnoob's posts. True False False False financialnoob/misc
497 MesoSim Options Trading Strategy Library Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-04-06 20 https://github.com/deltaray-io/strategy-library Free and public Options Trading strategy library for MesoSim. True False False False deltaray-io/strategy-library