diff --git a/index.html b/index.html
index 51f6371..34251f7 100644
--- a/index.html
+++ b/index.html
@@ -4041,13 +4041,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3431">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3432">
         <td class="col-num">153</td>
         <td class="col-name">
           <a href="https://github.com/mhallsmoore/qstrader" target="_blank" rel="noopener">QSTrader</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="3,431 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> 3.4k</span></td>
+        <td class="col-stars"><span class="stars" title="3,432 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> 3.4k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2024-06-24">2024-06-24</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4249,13 +4249,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22826">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22827">
         <td class="col-num">161</td>
         <td class="col-name">
           <a href="https://github.com/backtrader/backtrader" target="_blank" rel="noopener">backtrader</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="22,826 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> 22.8k</span></td>
+        <td class="col-stars"><span class="stars" title="22,827 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> 22.8k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2023-04-19">2023-04-19</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5002,13 +5002,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53233">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53234">
         <td class="col-num">190</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="53,233 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 53.2k</span></td>
+        <td class="col-stars"><span class="stars" title="53,234 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 53.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-12">2026-08-12</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5054,13 +5054,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="47348">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="47349">
         <td class="col-num">192</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="47,348 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> 47.3k</span></td>
+        <td class="col-stars"><span class="stars" title="47,349 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> 47.3k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5314,13 +5314,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6380">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6381">
         <td class="col-num">202</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="6,380 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> 6.4k</span></td>
+        <td class="col-stars"><span class="stars" title="6,381 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> 6.4k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-10">2026-08-10</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5523,13 +5523,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21181">
+      <tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21184">
         <td class="col-num">210</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="21,181 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
+        <td class="col-stars"><span class="stars" title="21,184 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-12">2026-08-12</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5732,13 +5732,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="44422">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="44423">
         <td class="col-num">218</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="44,422 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> 44.4k</span></td>
+        <td class="col-stars"><span class="stars" title="44,423 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> 44.4k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-06">2026-08-06</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -6306,13 +6306,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="11002">
+      <tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="11003">
         <td class="col-num">240</td>
         <td class="col-name">
           <a href="https://github.com/yutiansut/quantaxis" target="_blank" rel="noopener">QUANTAXIS</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="11,002 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> 11k</span></td>
+        <td class="col-stars"><span class="stars" title="11,003 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> 11k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-02-28">2026-02-28</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Matlab">matlab</button>
@@ -6751,13 +6751,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21181">
+      <tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21184">
         <td class="col-num">257</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="21,181 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
+        <td class="col-stars"><span class="stars" title="21,184 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-12">2026-08-12</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6829,13 +6829,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2226">
+      <tr class="row" data-languages="Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2227">
         <td class="col-num">260</td>
         <td class="col-name">
           <a href="https://github.com/barter-rs/barter-rs" target="_blank" rel="noopener">Barter</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="2,226 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> 2.2k</span></td>
+        <td class="col-stars"><span class="stars" title="2,227 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> 2.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-05-09">2026-05-09</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -9179,7 +9179,7 @@
           <span class="mobile-category">Time Series Analysis</span>
         </td>
         <td class="col-stars"><span class="stars" title="171 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> 171</span></td>
-        <td class="col-update"><span class="last-update" title="Last commit: 2026-08-12">2026-08-12</span></td>
+        <td class="col-update"><span class="last-update" title="Last commit: 2026-08-13">2026-08-13</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="C++">c++</button>
           <button class="tag tag-section" data-filter-type="category" data-filter-value="Time Series Analysis">time-series-analysis</button>
@@ -9250,13 +9250,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="71803">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="71806">
         <td class="col-num">353</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="71,803 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> 71.8k</span></td>
+        <td class="col-stars"><span class="stars" title="71,806 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> 71.8k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-20">2026-07-20</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9276,13 +9276,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="30155">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="30156">
         <td class="col-num">354</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="30,155 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> 30.2k</span></td>
+        <td class="col-stars"><span class="stars" title="30,156 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> 30.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-11">2026-08-11</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9302,13 +9302,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24972">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24973">
         <td class="col-num">355</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="24,972 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> 25k</span></td>
+        <td class="col-stars"><span class="stars" title="24,973 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> 25k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -10914,13 +10914,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="21978">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="21980">
         <td class="col-num">417</td>
         <td class="col-name">
           <a href="https://github.com/jindaxiang/akshare" target="_blank" rel="noopener">akshare</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="21,978 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> 22k</span></td>
+        <td class="col-stars"><span class="stars" title="21,980 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> 22k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-08-10">2026-08-10</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11847,13 +11847,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="184">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="185">
         <td class="col-num">453</td>
         <td class="col-name">
           <a href="https://github.com/londonstrategicedge/lse-data" target="_blank" rel="noopener">lse-data</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="184 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> 184</span></td>
+        <td class="col-stars"><span class="stars" title="185 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> 185</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-20">2026-07-20</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -14000,13 +14000,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="13911">
+      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="13912">
         <td class="col-num">537</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="13,911 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> 13.9k</span></td>
+        <td class="col-stars"><span class="stars" title="13,912 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 13.9k</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>
@@ -14875,13 +14875,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="4156">
+      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="4157">
         <td class="col-num">572</td>
         <td class="col-name">
           <a href="https://github.com/shashankvemuri/Finance" target="_blank" rel="noopener">Finance</a>
           <span class="mobile-category">Reproducing Works, Training &amp; Books</span>
         </td>
-        <td class="col-stars"><span class="stars" title="4,156 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.2k</span></td>
+        <td class="col-stars"><span class="stars" title="4,157 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2025-05-12">2025-05-12</span></td>
         <td class="col-tags">
           <button class="tag tag-section" data-filter-type="category" data-filter-value="Reproducing Works, Training &amp; Books">reproducing-works-training-books</button>
diff --git a/projects.csv b/projects.csv
index 90c0400..54483e7 100644
--- a/projects.csv
+++ b/projects.csv
@@ -151,7 +151,7 @@ the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesti
 autonomous-audit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-03,0,https://pypi.org/project/autonomous-audit/,"Tamper-evident SHA-256 hash-chain audit log and human-readable report for AI trading-agent decisions; read-only, offline, and dependency-free (Python standard library only). [GitHub](https://github.com/Autonomous-Asset-Management-Agents/autonomous_/tree/main/packages/autonomous-audit)",False,False,True,False,
 Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-10,1644,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,2026-08-05,1918,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,2024-06-24,3431,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
+QSTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-24,3432,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
 Blankly,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-30,2464,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,2020-10-14,20030,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
 zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1919,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
@@ -159,7 +159,7 @@ QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,
 quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,67,https://github.com/jeffrey-liang/quantitative,"Quantitative finance, and backtesting library.",True,False,False,False,jeffrey-liang/quantitative
 analyzer,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2015-12-22,216,https://github.com/llazzaro/analyzer,Python framework for real-time financial and backtesting trading strategies.,True,False,False,False,llazzaro/analyzer
 bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-07,2960,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
-backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22826,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
+backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22827,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
 TrendFollowingSystems,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-10,18,https://github.com/ArturSepp/TrendFollowingSystems,"Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests.",True,False,False,False,ArturSepp/TrendFollowingSystems
 backtest-bias,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-12,10,https://github.com/Finance-broski/backtest-bias,"Checks whether backtest price data is survivor-only: dead-name detection, measured bias benchmarks, CI integrity gates.",True,False,False,False,Finance-broski/backtest-bias
 pythalesians,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-09-23,63,https://github.com/thalesians/pythalesians,"Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc.",True,False,False,False,thalesians/pythalesians
@@ -188,9 +188,9 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
 jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-11,42,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
 qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-03-24,2268,https://github.com/ranaroussi/qtpylib,"QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>.",True,False,False,False,ranaroussi/qtpylib
 Quantdom,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,773,https://github.com/constverum/Quantdom,Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.],True,False,False,False,constverum/Quantdom
-freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-12,53233,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
+freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-12,53234,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,2021-06-01,3419,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python
-Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,47348,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,2026-07-23,47349,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
 finlab,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-27,0,https://pypi.org/project/finlab/,"Python package for Taiwan stock market data, factor research, and vectorized backtesting with pandas-style strategy definitions.",False,False,True,False,
 machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-12,20426,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,2025-08-24,1744,https://github.com/ScottfreeLLC/AlphaPy,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",True,False,False,False,ScottfreeLLC/AlphaPy
@@ -200,7 +200,7 @@ FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-
 aurumq-rl,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-19,38,https://github.com/yupoet/aurumq-rl,"Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference.",True,False,False,False,yupoet/aurumq-rl
 bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2321,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,2021-04-22,34,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,2026-08-10,6380,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,2026-08-10,6381,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,2021-01-05,9486,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,2025-05-04,1270,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
@@ -208,7 +208,7 @@ fast-trade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
 qf-lib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-05,953,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,2024-06-16,1321,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,2026-08-02,8656,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,2026-08-12,21181,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,2026-08-12,21184,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,2026-07-18,3433,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,2026-05-30,168,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,2026-08-10,202,https://github.com/DrAshBooth/PyLOB,Fully functioning fast Limit Order Book written in Python.,True,False,False,False,DrAshBooth/PyLOB
@@ -216,7 +216,7 @@ PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
 OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,46,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,2025-12-23,4351,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
 flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-16,3,https://github.com/FlashAlpha-lab/flashalpha-fill-simulator,"Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies.",True,False,False,False,FlashAlpha-lab/flashalpha-fill-simulator
-vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-06,44422,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,2026-08-06,44423,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
 Intelligent Trading Bot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-11,1846,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,2023-09-15,1753,https://github.com/enzoampil/fastquant,fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.,True,False,False,False,enzoampil/fastquant
 nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,25457,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
@@ -238,7 +238,7 @@ pa,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-08-2
 QuantTools,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://quanttools.bitbucket.io/_site/index.html,Enhanced Quantitative Trading Modelling.,False,False,False,False,
 blotter,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-13,116,https://github.com/braverock/blotter,"Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed.",True,False,False,False,braverock/blotter
 quantstrat,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-14,309,https://github.com/braverock/quantstrat,Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research.,True,False,False,False,braverock/quantstrat
-QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,11002,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
+QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,11003,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
 PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-11-19,209,https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab,"Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader.",True,False,False,False,jkirkby3/PROJ_Option_Pricing_Matlab
 Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-05,21,https://github.com/rbeeli/Fastback.jl,Blazing fast Julia backtester.,True,False,False,False,rbeeli/Fastback.jl
 Lucky.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-25,29,https://github.com/oliviermilla/Lucky.jl,"Modular, asynchronous trading engine in pure Julia.",True,False,False,False,oliviermilla/Lucky.jl
@@ -255,10 +255,10 @@ Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-b
 OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-11,157,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,2025-07-29,1454,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,2026-07-21,98,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,2026-08-12,21181,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,2026-08-12,21184,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,2026-08-10,10554,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,2023-03-10,56,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,2026-05-09,2226,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
+Barter,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-09,2227,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,2026-07-22,82,https://github.com/MathisWellmann/lfest-rs,Simulated perpetual futures exchange to trade your strategy against.,True,False,False,False,MathisWellmann/lfest-rs
 OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,error,0,https://github.com/cryptoSUN2049/openFinclaw,"AI-native one-person hedge fund platform with Rust trading engine. Natural language → strategy → backtest → execution in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline. Built on OpenClaw (68K+ stars).",True,False,False,False,cryptoSUN2049/openFinclaw
 Sextant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,2,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
@@ -348,12 +348,12 @@ matrixprofile,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis
 garchmodels,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2022-08-11,36,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,2026-03-30,369,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,2026-03-09,5,https://github.com/femtotrader/TimeFrames.jl,A Julia library that defines TimeFrame (essentially for resampling TimeSeries).,True,False,False,False,femtotrader/TimeFrames.jl
-PineForge,C++,C++,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-12,171,https://github.com/pineforge-4pass/pineforge-engine,"Deterministic offline PineScript v6 → C++ backtest runtime, validated trade-for-trade against TradingView (245/246 strict, 0 engine bugs). Runs locally via Docker and is drivable by AI agents through a bundled MCP server.",True,False,False,False,pineforge-4pass/pineforge-engine
+PineForge,C++,C++,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-13,171,https://github.com/pineforge-4pass/pineforge-engine,"Deterministic offline PineScript v6 → C++ backtest runtime, validated trade-for-trade against TradingView (245/246 strict, 0 engine bugs). Runs locally via Docker and is drivable by AI agents through a bundled MCP server.",True,False,False,False,pineforge-4pass/pineforge-engine
 Korea Stock Data,Data,Data,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-19,0,https://github.com/na77tech-creator/korea-stock-data,"Free daily dataset of top KOSPI/KOSDAQ stocks by market cap: prices, fundamentals, and analyst consensus estimates in CSV/JSON, updated every trading day, LLM/AI-readable.",True,False,False,False,na77tech-creator/korea-stock-data
 BTC Orderbook Microstructure Research,Jupyter Notebook,Jupyter Notebook,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-21,7,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,2026-07-20,71803,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,2026-08-11,30155,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,2026-07-23,24972,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,2026-07-20,71806,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,2026-08-11,30156,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,2026-07-23,24973,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
 treasurydirect,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,0,https://github.com/moshejs/treasurydirect,"Zero-dependency client for the US TreasuryDirect API: auction results, upcoming auctions, CUSIP lookups, and Debt to the Penny; no API key required.",True,False,False,False,moshejs/treasurydirect
 treasury-fiscaldata,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,1,https://github.com/moshejs/treasury-fiscaldata,"Typed client for the US Treasury FiscalData API (debt, average interest rates, exchange rates) with pagination and filtering; no API key required.",True,False,False,False,moshejs/treasury-fiscaldata
 newyorkfed,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,0,https://github.com/moshejs/newyorkfed,"Client for the NY Fed Markets Data API: SOFR/EFFR/OBFR reference rates, SOFR averages and index, and SOMA holdings; no API key required.",True,False,False,False,moshejs/newyorkfed
@@ -415,7 +415,7 @@ iexfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,m
 pyEX,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-02-05,408,https://github.com/timkpaine/pyEX,"Python interface to IEX with emphasis on pandas, support for streaming data, premium data, points data (economic, rates, commodities), and technical indicators.",True,False,False,False,timkpaine/pyEX
 alpaca-trade-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-01-12,1883,https://github.com/alpacahq/alpaca-trade-api-python,Python interface for retrieving real-time and historical prices from Alpaca API as well as trade execution.,True,False,False,False,alpacahq/alpaca-trade-api-python
 metatrader5,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-01,0,https://pypi.org/project/MetaTrader5/,API Connector to MetaTrader 5 Terminal. (Last updated: 2026-02-20).,False,False,True,False,
-akshare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-10,21978,https://github.com/jindaxiang/akshare,"AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>.",True,False,False,False,jindaxiang/akshare
+akshare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-10,21980,https://github.com/jindaxiang/akshare,"AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>.",True,False,False,False,jindaxiang/akshare
 yahooquery,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-05-15,917,https://github.com/dpguthrie/yahooquery,Python interface for retrieving data through unofficial Yahoo Finance API.,True,False,False,False,dpguthrie/yahooquery
 investpy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-10-02,1849,https://github.com/alvarobartt/investpy,Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>.,True,False,False,False,alvarobartt/investpy
 yliveticker,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-28,173,https://github.com/yahoofinancelive/yliveticker,Live stream of market data from Yahoo Finance websocket.,True,False,False,False,yahoofinancelive/yliveticker
@@ -451,7 +451,7 @@ FXMacroData,Python,Python,Market Data & Data Sources,Market Data & Data Sources,
 uk-sic-codes,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/borschai/uk-sic-codes,"UK SIC 2007 industry classification code lookup, search, and validation. 731 codes, 21 sections. [PyPI](https://pypi.org/project/uk-sic-codes/)",True,False,False,False,borschai/uk-sic-codes
 uk-company-number,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/borschai/uk-company-number,"Validate, format, and identify UK Companies House company numbers. Supports all 27 prefixes. [PyPI](https://pypi.org/project/uk-company-number/)",True,False,False,False,borschai/uk-company-number
 veroq-python,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-31,1,https://github.com/Veroq-api/veroq-python,"Financial intelligence API with verified market data, trading signals, sentiment analysis, and fact-checking across 1,061+ tickers. [PyPI](https://pypi.org/project/veroq/)",True,False,False,False,Veroq-api/veroq-python
-lse-data,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-20,184,https://github.com/londonstrategicedge/lse-data,"Live ticks over WebSocket plus historical ticks and candles for stocks, FX, crypto, commodities, indices, ETFs and futures, with options chains and greeks, economics series and government bond yields, across 118,000+ datasets. US stocks from 2003, FX from 2009, options from 2014, economics back to 1900. Free, no subscription tiers. [PyPI](https://pypi.org/project/lse-data/)",True,False,False,False,londonstrategicedge/lse-data
+lse-data,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-20,185,https://github.com/londonstrategicedge/lse-data,"Live ticks over WebSocket plus historical ticks and candles for stocks, FX, crypto, commodities, indices, ETFs and futures, with options chains and greeks, economics series and government bond yields, across 118,000+ datasets. US stocks from 2003, FX from 2009, options from 2014, economics back to 1900. Free, no subscription tiers. [PyPI](https://pypi.org/project/lse-data/)",True,False,False,False,londonstrategicedge/lse-data
 IBrokers,R,R,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-11-16,0,https://cran.r-project.org/web/packages/IBrokers/index.html,Provides native R access to Interactive Brokers Trader Workstation API.,False,True,False,False,
 Rblpapi,R,R,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-02,176,https://github.com/Rblp/Rblpapi,An R Interface to 'Bloomberg' is provided via the 'Blp API'.,True,False,False,False,Rblp/Rblpapi
 Rbitcoin,R,R,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2016-10-25,57,https://github.com/jangorecki/Rbitcoin,"Unified markets API interface (bitstamp, kraken, btce, bitmarket).",True,False,False,False,jangorecki/Rbitcoin
@@ -535,7 +535,7 @@ 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,2021-05-25,801,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,2025-05-13,851,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,2023-11-27,13911,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,2023-11-27,13912,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,2025-05-04,2044,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,2021-06-01,3419,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,2024-09-22,2144,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
@@ -570,7 +570,7 @@ QuantFinanceTraining,,,"Reproducing Works, Training & Books","Reproducing Works,
 Statistical-Learning-based-Portfolio-Optimization,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,error,0,https://github.com/YannickKae/Statistical-Learning-based-Portfolio-Optimization,"This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).",True,False,False,False,YannickKae/Statistical-Learning-based-Portfolio-Optimization
 book_irds3,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-10-29,125,https://github.com/attack68/book_irds3,Code repository for Pricing and Trading Interest Rate Derivatives.,True,False,False,False,attack68/book_irds3
 Autoencoder-Asset-Pricing-Models,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-08-17,149,https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models,"Reimplementation of Autoencoder Asset Pricing Models ([GKX, 2019](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536)).",True,False,False,False,RichardS0268/Autoencoder-Asset-Pricing-Models
-Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-12,4156,https://github.com/shashankvemuri/Finance,"150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.",True,False,False,False,shashankvemuri/Finance
+Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-12,4157,https://github.com/shashankvemuri/Finance,"150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.",True,False,False,False,shashankvemuri/Finance
 101_formulaic_alphas,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-07-11,51,https://github.com/ram-ki/101_formulaic_alphas,Implementation of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader.,True,False,False,False,ram-ki/101_formulaic_alphas
 Tidy Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://www.tidy-finance.org/,"An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages (Python and R) to enable the reproducible implementation of financial research projects for students and practitioners.",False,False,False,False,
 RoughVolatilityWorkshop,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-09-06,73,https://github.com/jgatheral/RoughVolatilityWorkshop,2024 QuantMind's Rough Volatility Workshop lectures.,True,False,False,False,jgatheral/RoughVolatilityWorkshop