diff --git a/index.html b/index.html
index 0b57f80..3de1b06 100644
--- a/index.html
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-        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-21">2026-04-21</span></td>
+        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
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           <span class="mobile-category">Financial Instruments &amp; Pricing</span>
         </td>
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-        <td class="col-update"><span class="last-update" title="Last commit: 2026-03-18">2026-03-18</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>
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@@ -3331,13 +3331,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="914">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="915">
         <td class="col-num">126</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="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> 914</span></td>
+        <td class="col-stars"><span class="stars" title="915 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> 915</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>
@@ -4007,13 +4007,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="553">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="554">
         <td class="col-num">152</td>
         <td class="col-name">
           <a href="https://github.com/dragon1086/prism-insight" target="_blank" rel="noopener">PRISM-INSIGHT</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="553 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> 553</span></td>
+        <td class="col-stars"><span class="stars" title="554 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> 554</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>
@@ -4292,13 +4292,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41082">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41081">
         <td class="col-num">163</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="41,082 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="41,081 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: 2026-04-21">2026-04-21</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4500,13 +4500,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="5747">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="5748">
         <td class="col-num">171</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="5,747 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="5,748 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: 2026-03-29">2026-03-29</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4709,13 +4709,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18510">
+      <tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18509">
         <td class="col-num">179</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="18,510 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> 18.5k</span></td>
+        <td class="col-stars"><span class="stars" title="18,509 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> 18.5k</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>
@@ -4892,13 +4892,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="39686">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="39689">
         <td class="col-num">186</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="39,686 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="39,689 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>
@@ -4918,13 +4918,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1666">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1664">
         <td class="col-num">187</td>
         <td class="col-name">
           <a href="https://github.com/asavinov/intelligent-trading-bot" target="_blank" rel="noopener">Intelligent Trading Bot</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="1,666 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="1,664 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: 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>
@@ -4970,13 +4970,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22161">
+      <tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22162">
         <td class="col-num">189</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="22,161 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-stars"><span class="stars" title="22,162 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: 2026-04-21">2026-04-21</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5049,13 +5049,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python C++" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3097">
+      <tr class="row" data-languages="Python C++" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3098">
         <td class="col-num">192</td>
         <td class="col-name">
           <a href="https://github.com/fasiondog/hikyuu" target="_blank" rel="noopener">Hikyuu</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="3,097 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> 3.1k</span></td>
+        <td class="col-stars"><span class="stars" title="3,098 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> 3.1k</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>
@@ -5569,13 +5569,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42009">
+      <tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42010">
         <td class="col-num">212</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="42,009 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="42,010 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>
@@ -5779,13 +5779,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python C++" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3097">
+      <tr class="row" data-languages="Python C++" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3098">
         <td class="col-num">220</td>
         <td class="col-name">
           <a href="https://github.com/fasiondog/hikyuu" target="_blank" rel="noopener">Hikyuu</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="3,097 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> 3.1k</span></td>
+        <td class="col-stars"><span class="stars" title="3,098 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> 3.1k</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>
@@ -5884,13 +5884,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18510">
+      <tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="18509">
         <td class="col-num">224</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="18,510 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> 18.5k</span></td>
+        <td class="col-stars"><span class="stars" title="18,509 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> 18.5k</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="CSharp">csharp</button>
@@ -6951,13 +6951,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8178">
+      <tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8179">
         <td class="col-num">265</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="8,178 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> 8.2k</span></td>
+        <td class="col-stars"><span class="stars" title="8,179 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> 8.2k</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="JavaScript">javascript</button>
@@ -7912,13 +7912,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66274">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66276">
         <td class="col-num">302</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="66,274 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-stars"><span class="stars" title="66,276 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-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -7938,13 +7938,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="11580">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="11653">
         <td class="col-num">303</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="11,580 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> 11.6k</span></td>
+        <td class="col-stars"><span class="stars" title="11,653 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> 11.7k</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>
@@ -7964,13 +7964,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="23130">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="23131">
         <td class="col-num">304</td>
         <td class="col-name">
           <a href="https://github.com/ranaroussi/yfinance" target="_blank" rel="noopener">yfinance</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="23,130 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 23.1k</span></td>
+        <td class="col-stars"><span class="stars" title="23,131 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 23.1k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-16">2026-04-16</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11184,13 +11184,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7050">
+      <tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7051">
         <td class="col-num">428</td>
         <td class="col-name">
           <a href="https://github.com/lballabio/QuantLib" target="_blank" rel="noopener">QuantLib</a>
           <span class="mobile-category">Cross-Language Frameworks</span>
         </td>
-        <td class="col-stars"><span class="stars" title="7,050 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="7,051 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> 7.1k</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-section" data-filter-type="category" data-filter-value="Cross-Language Frameworks">cross-language-frameworks</button>
@@ -11259,13 +11259,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7050">
+      <tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7051">
         <td class="col-num">431</td>
         <td class="col-name">
           <a href="https://github.com/lballabio/QuantLib" target="_blank" rel="noopener">QuantLib</a>
           <span class="mobile-category">Cross-Language Frameworks</span>
         </td>
-        <td class="col-stars"><span class="stars" title="7,050 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="7,051 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> 7.1k</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-section" data-filter-type="category" data-filter-value="Cross-Language Frameworks">cross-language-frameworks</button>
@@ -11779,13 +11779,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="12959">
+      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="12958">
         <td class="col-num">452</td>
         <td class="col-name">
           <a href="https://github.com/jpmorganchase/python-training" target="_blank" rel="noopener">python-training</a>
           <span class="mobile-category">Reproducing Works, Training &amp; Books</span>
         </td>
-        <td class="col-stars"><span class="stars" title="12,959 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> 13k</span></td>
+        <td class="col-stars"><span class="stars" title="12,958 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> 13k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2023-11-27">2023-11-27</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>
diff --git a/projects.csv b/projects.csv
index eb7c34f..341a668 100644
--- a/projects.csv
+++ b/projects.csv
@@ -1,7 +1,7 @@
 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,2026-04-21,31870,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,2026-04-21,14623,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,2026-04-21,48543,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
+pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-22,48543,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,2026-04-21,38244,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,
@@ -47,7 +47,7 @@ Intrinsic-Value-Calculator,Python,Python,Financial Instruments & Pricing,Financi
 Kelly-Criterion,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2019-02-16,113,https://github.com/deltaray-io/kelly-criterion,Kelly Criterion implemented in Python to size portfolios based on J. L. Kelly Jr's formula.,True,False,False,False,deltaray-io/kelly-criterion
 rateslib,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-09,335,https://github.com/attack68/rateslib,"A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps.",True,False,False,False,attack68/rateslib
 fypy,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2025-02-27,141,https://github.com/jkirkby3/fypy,"Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.",True,False,False,False,jkirkby3/fypy
-Pyderivatives,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-03-18,30,https://github.com/Julian-Beatty/Pyderivatives,"Toolkit for option pricing, implied volatility surfaces, risk-neutral densities, and pricing kernel surfaces with support for advanced models including Heston, Kou, and Bates.",True,False,False,False,Julian-Beatty/Pyderivatives
+Pyderivatives,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-22,30,https://github.com/Julian-Beatty/Pyderivatives,"Toolkit for option pricing, implied volatility surfaces, risk-neutral densities, and pricing kernel surfaces with support for advanced models including Heston, Kou, and Bates.",True,False,False,False,Julian-Beatty/Pyderivatives
 quantra,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-03-11,27,https://github.com/joseprupi/quantraserver,"High-performance pricing engine built on QuantLib. It exposes QuantLib's functionality through gRPC and REST APIs, enabling distributed computations with FlatBuffers serialization.",True,False,False,False,joseprupi/quantraserver
 optionlab,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2025-12-25,494,https://github.com/rgaveiga/optionlab,A Python library for evaluating option trading strategies.,True,False,False,False,rgaveiga/optionlab
 flashalpha,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-13,1,https://github.com/FlashAlpha-lab/flashalpha-python,Python client for the FlashAlpha options analytics API.,True,False,False,False,FlashAlpha-lab/flashalpha-python
@@ -124,7 +124,7 @@ AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,tradin
 TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-20,41,https://github.com/rmbell09-lang/tradesight,"AI-powered trading intelligence platform with paper trading, strategy optimization tournaments, 15+ technical indicators, and multi-market scanning.",True,False,False,False,rmbell09-lang/tradesight
 Orallexa,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-17,21,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
 the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,220,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,2026-04-21,914,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,2026-04-21,915,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
 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,2020-10-14,19660,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
@@ -150,7 +150,7 @@ moonshot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
 pyqstrat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-11-05,369,https://github.com/abbass2/pyqstrat,"A fast, extensible, transparent python library for backtesting quantitative strategies.",True,False,False,False,abbass2/pyqstrat
 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,2026-04-21,553,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
+PRISM-INSIGHT,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,554,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,2026-04-18,5,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,
@@ -161,7 +161,7 @@ qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backte
 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,2026-04-21,49119,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,2026-04-21,41082,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,2026-04-21,41081,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,2023-03-05,17111,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,2025-08-24,1716,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,2026-04-09,7711,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse
@@ -169,7 +169,7 @@ rqalpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backte
 FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,14841,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,2026-03-29,5747,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,2026-03-29,5748,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,2021-01-05,9311,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,2025-05-04,1244,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
@@ -177,20 +177,20 @@ fast-trade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
 qf-lib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-07,924,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,2024-06-16,1315,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,2026-03-26,7253,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,2026-04-21,18510,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
+Lean,Python,"Python,C#",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,18509,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,2026-04-02,3264,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,2026-03-05,3271,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,2025-12-23,3966,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,2026-01-14,39686,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,2026-04-21,1666,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
+vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,39689,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,2026-04-21,1664,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,2026-04-21,22161,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,2026-04-21,22162,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,2026-04-21,3097,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
+Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,3098,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
 rust_bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-05,64,https://github.com/jensnesten/rust_bt,"A high performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust.",True,False,False,False,jensnesten/rust_bt
 Gunbot Quant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-19,44,https://github.com/GuntharDeNiro/gunbot-quant,"Toolkit for quantitative trading analysis. It integrates an advanced market screener, a multi-strategy, multi-asset backtesting engine. Use with built-in GUI or through CLI.",True,False,False,False,GuntharDeNiro/gunbot-quant
 StrateQueue,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-30,178,https://github.com/StrateQueue/StrateQueue,"An open‑source, broker‑agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built‑in safety controls.",True,False,False,False,StrateQueue/StrateQueue
@@ -210,7 +210,7 @@ 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,2026-03-31,27,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,2026-04-21,42009,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,2026-04-21,42010,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,2026-04-22,20,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
@@ -218,11 +218,11 @@ Workbench,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtestin
 Prop,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2022-06-06,56,https://github.com/fremantle-industries/prop,"An open and opinionated trading platform using productive & familiar open source libraries and tools for strategy research, execution and operation.",True,False,False,False,fremantle-industries/prop
 Kelp,Golang,Golang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-11-26,1122,https://github.com/stellar/kelp,Kelp is an open-source Golang algorithmic cryptocurrency trading bot that runs on centralized exchanges and Stellar DEX (command-line usage and desktop GUI).,True,False,False,False,stellar/kelp
 TradeFrame,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,653,https://github.com/rburkholder/trade-frame,C++ 17 based framework/library (with sample applications) for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution. Comes with built-in [Option Greeks/IV](https://github.com/rburkholder/trade-frame/tree/master/lib/TFOptions) calculation library.,True,False,False,False,rburkholder/trade-frame
-Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,3097,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
+Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,3098,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,2026-01-11,136,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,2025-07-29,1386,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,2026-04-21,18510,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
+QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,18509,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,2026-04-19,9749,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,2026-03-05,2082,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
@@ -263,7 +263,7 @@ 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,2026-04-21,8178,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,2026-04-21,8179,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
 alphalens,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2020-04-27,4232,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
 alphalens-reloaded,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2025-06-02,575,https://github.com/stefan-jansen/alphalens-reloaded,Performance analysis of predictive (alpha) stock factors.,True,False,False,False,stefan-jansen/alphalens-reloaded
@@ -300,9 +300,9 @@ matrixprofile,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis
 garchmodels,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2022-08-11,35,https://github.com/AlbertoAlmuinha/garchmodels,A parsnip backend for GARCH models.,True,False,False,False,AlbertoAlmuinha/garchmodels
 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
-OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-20,66274,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,2026-04-21,11580,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,2026-04-16,23130,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
+OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-20,66276,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,2026-04-21,11653,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,2026-04-16,23131,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,2026-04-17,578,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
 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
@@ -426,10 +426,10 @@ expy,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integrati
 pyxll,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,,0,https://www.pyxll.com,PyXLL is an Excel add-in that enables you to extend Excel using nothing but Python code.,False,False,False,False,
 Jupyter Quant,Python,Python,Quant Research Environments,Quant Research Environments,quant-research-environments,2024-06-14,19,https://github.com/gnzsnz/jupyter-quant,"A dockerized Jupyter quant research environment with preloaded tools for quant analysis, statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, etc.",True,False,False,False,gnzsnz/jupyter-quant
 RunMat,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-18,206,https://runmat.org,"High performance, Open Source, MATLAB syntax runtime. [GitHub](https://github.com/runmat-org/runmat)",True,False,False,False,runmat-org/runmat
-QuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-21,7050,https://github.com/lballabio/QuantLib,The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.,True,False,False,False,lballabio/QuantLib
+QuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-21,7051,https://github.com/lballabio/QuantLib,The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.,True,False,False,False,lballabio/QuantLib
 QuantLibRisks,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-02,39,https://github.com/auto-differentiation/QuantLib-Risks-Cpp,Fast risks with QuantLib in C++.,True,False,False,False,auto-differentiation/QuantLib-Risks-Cpp
 XAD,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-12,411,https://github.com/auto-differentiation/xad,Automatic Differentation (AAD) Library.,True,False,False,False,auto-differentiation/xad
-QuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-21,7050,https://github.com/lballabio/QuantLib,The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.,True,False,False,False,lballabio/QuantLib
+QuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-21,7051,https://github.com/lballabio/QuantLib,The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.,True,False,False,False,lballabio/QuantLib
 JQuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2016-02-26,153,https://github.com/frgomes/jquantlib,Java port.,True,False,False,False,frgomes/jquantlib
 RQuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-08,131,https://github.com/eddelbuettel/rquantlib,R port.,True,False,False,False,eddelbuettel/rquantlib
 QuantLibAddin,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,,0,https://www.quantlib.org/quantlibaddin/,Excel support.,False,False,False,False,
@@ -450,7 +450,7 @@ Quantitative-Notebooks,,,"Reproducing Works, Training & Books","Reproducing Work
 QuantEcon,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://quantecon.org/,"Lecture series on economics, finance, econometrics and data science; QuantEcon.py, QuantEcon.jl, notebooks.",False,False,False,False,
 FinanceHub,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2021-05-25,793,https://github.com/Finance-Hub/FinanceHub,Resources for Quantitative Finance.,True,False,False,False,Finance-Hub/FinanceHub
 Python_Option_Pricing,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-13,838,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,2023-11-27,12959,https://github.com/jpmorganchase/python-training,J.P. Morgan's Python training for business analysts and traders.,True,False,False,False,jpmorganchase/python-training
+python-training,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-11-27,12958,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,2025-05-04,2001,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,2021-06-01,3287,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