diff --git a/index.html b/index.html
index e0877b5..c133e77 100644
--- a/index.html
+++ b/index.html
@@ -3305,13 +3305,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="52">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="54">
         <td class="col-num">125</td>
         <td class="col-name">
           <a href="https://github.com/rmbell09-lang/tradesight" target="_blank" rel="noopener">TradeSight</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="52 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 52</span></td>
+        <td class="col-stars"><span class="stars" title="54 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 54</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-20">2026-04-20</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3383,13 +3383,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="225">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="227">
         <td class="col-num">128</td>
         <td class="col-name">
           <a href="https://github.com/alexanderwanyoike/the0" target="_blank" rel="noopener">the0</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="225 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 225</span></td>
+        <td class="col-stars"><span class="stars" title="227 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 227</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-19">2026-04-19</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3409,13 +3409,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="930">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="931">
         <td class="col-num">129</td>
         <td class="col-name">
           <a href="https://github.com/coding-kitties/investing-algorithm-framework" target="_blank" rel="noopener">Investing algorithm framework</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="930 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 930</span></td>
+        <td class="col-stars"><span class="stars" title="931 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 931</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4240,13 +4240,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6981">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6982">
         <td class="col-num">161</td>
         <td class="col-name">
           <a href="https://github.com/ranaroussi/quantstats" target="_blank" rel="noopener">quantstats</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="6,981 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 7k</span></td>
+        <td class="col-stars"><span class="stars" title="6,982 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 7k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-01-13">2026-01-13</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4273,7 +4273,7 @@
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
         <td class="col-stars"><span class="stars" title="28 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 28</span></td>
-        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
+        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
           <button class="tag tag-section" data-filter-type="category" data-filter-value="Trading &amp; Backtesting">trading-backtesting</button>
@@ -4344,13 +4344,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49173">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="49178">
         <td class="col-num">165</td>
         <td class="col-name">
           <a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="49,173 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49.2k</span></td>
+        <td class="col-stars"><span class="stars" title="49,178 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49.2k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-21">2026-04-21</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4396,13 +4396,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41135">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41138">
         <td class="col-num">167</td>
         <td class="col-name">
           <a href="https://github.com/microsoft/qlib" target="_blank" rel="noopener">Qlib</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="41,135 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 41.1k</span></td>
+        <td class="col-stars"><span class="stars" title="41,138 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 41.1k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4474,13 +4474,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7719">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7720">
         <td class="col-num">170</td>
         <td class="col-name">
           <a href="https://github.com/jesse-ai/jesse" target="_blank" rel="noopener">jesse</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="7,719 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 7.7k</span></td>
+        <td class="col-stars"><span class="stars" title="7,720 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 7.7k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-09">2026-04-09</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4996,13 +4996,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="39734">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="39736">
         <td class="col-num">190</td>
         <td class="col-name">
           <a href="https://github.com/vnpy/vnpy" target="_blank" rel="noopener">vnpy</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="39,734 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 39.7k</span></td>
+        <td class="col-stars"><span class="stars" title="39,736 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 39.7k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-01-14">2026-01-14</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5081,7 +5081,7 @@
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
         <td class="col-stars"><span class="stars" title="22,182 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.2k</span></td>
-        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
+        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -5700,13 +5700,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42021">
+      <tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42020">
         <td class="col-num">217</td>
         <td class="col-name">
           <a href="https://github.com/ccxt/ccxt" target="_blank" rel="noopener">ccxt</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="42,021 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 42k</span></td>
+        <td class="col-stars"><span class="stars" title="42,020 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 42k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-21">2026-04-21</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -6041,13 +6041,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9755">
+      <tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9758">
         <td class="col-num">230</td>
         <td class="col-name">
           <a href="https://github.com/StockSharp/StockSharp" target="_blank" rel="noopener">StockSharp</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="9,755 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.8k</span></td>
+        <td class="col-stars"><span class="stars" title="9,758 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.8k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-19">2026-04-19</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6251,13 +6251,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="5662">
+      <tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="5661">
         <td class="col-num">238</td>
         <td class="col-name">
           <a href="https://github.com/robertmartin8/PyPortfolioOpt" target="_blank" rel="noopener">PyPortfolioOpt</a>
           <span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
         </td>
-        <td class="col-stars"><span class="stars" title="5,662 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.7k</span></td>
+        <td class="col-stars"><span class="stars" title="5,661 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.7k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-03-10">2026-03-10</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -7601,13 +7601,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="20141">
+      <tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="20142">
         <td class="col-num">290</td>
         <td class="col-name">
           <a href="https://github.com/facebook/prophet" target="_blank" rel="noopener">Facebook Prophet</a>
           <span class="mobile-category">Time Series Analysis</span>
         </td>
-        <td class="col-stars"><span class="stars" title="20,141 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.1k</span></td>
+        <td class="col-stars"><span class="stars" title="20,142 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.1k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-02-02">2026-02-02</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8121,14 +8121,14 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66344">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="66345">
         <td class="col-num">310</td>
         <td class="col-name">
           <a href="https://github.com/OpenBB-finance/OpenBBTerminal" target="_blank" rel="noopener">OpenBB Terminal</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="66,344 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 66.3k</span></td>
-        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-20">2026-04-20</span></td>
+        <td class="col-stars"><span class="stars" title="66,345 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 66.3k</span></td>
+        <td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
           <button class="tag tag-section" data-filter-type="category" data-filter-value="Market Data &amp; Data Sources">market-data-data-sources</button>
@@ -8147,13 +8147,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="13087">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="13133">
         <td class="col-num">311</td>
         <td class="col-name">
           <a href="https://github.com/Fincept-Corporation/FinceptTerminal" target="_blank" rel="noopener">Fincept Terminal</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="13,087 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 13.1k</span></td>
+        <td class="col-stars"><span class="stars" title="13,133 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 13.1k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -12819,13 +12819,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="2571">
+      <tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="2572">
         <td class="col-num">493</td>
         <td class="col-name">
           <a href="https://github.com/mfrdixon/ML_Finance_Codes" target="_blank" rel="noopener">ML_Finance_Codes</a>
           <span class="mobile-category">Reproducing Works, Training &amp; Books</span>
         </td>
-        <td class="col-stars"><span class="stars" title="2,571 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.6k</span></td>
+        <td class="col-stars"><span class="stars" title="2,572 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.6k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2020-06-13">2020-06-13</span></td>
         <td class="col-tags">
           <button class="tag tag-section" data-filter-type="category" data-filter-value="Reproducing Works, Training &amp; Books">reproducing-works-training-books</button>
diff --git a/projects.csv b/projects.csv
index f6d4496..af57d13 100644
--- a/projects.csv
+++ b/projects.csv
@@ -123,11 +123,11 @@ SlidingFeatures,Rust,Rust,Technical Indicators,Technical Indicators,technical-in
 fin-primitives,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-03-23,8,https://github.com/Mattbusel/fin-primitives,"Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor.",True,False,False,False,Mattbusel/fin-primitives
 income-desk,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,4,https://github.com/nitinblue/income-desk,"Systematic options trading intelligence for small accounts with desk-based portfolio management, pre-trade validation, and multi-broker consolidation.",True,False,False,False,nitinblue/income-desk
 AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,3,https://github.com/demandai/ai-quant-agents,"Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares.",True,False,False,False,demandai/ai-quant-agents
-TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-20,52,https://github.com/rmbell09-lang/tradesight,"Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca.",True,False,False,False,rmbell09-lang/tradesight
+TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-20,54,https://github.com/rmbell09-lang/tradesight,"Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca.",True,False,False,False,rmbell09-lang/tradesight
 Orallexa,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-17,23,https://github.com/alex-jb/orallexa-ai-trading-agent,"AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests.",True,False,False,False,alex-jb/orallexa-ai-trading-agent
 Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,2302,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
-the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,225,https://github.com/alexanderwanyoike/the0,"Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.",True,False,False,False,alexanderwanyoike/the0
-Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,930,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework
+the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,227,https://github.com/alexanderwanyoike/the0,"Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.",True,False,False,False,alexanderwanyoike/the0
+Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,931,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework
 Lumibot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,1356,https://github.com/Lumiwealth/lumibot,"Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab.",True,False,False,False,Lumiwealth/lumibot
 QSTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-24,3351,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
 Blankly,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-30,2426,https://github.com/Blankly-Finance/Blankly,"Fully integrated backtesting, paper trading, and live deployment.",True,False,False,False,Blankly-Finance/Blankly
@@ -159,16 +159,16 @@ FinClaw,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backte
 aat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,802,https://github.com/timkpaine/aat,Async Algorithmic Trading Engine.,True,False,False,False,timkpaine/aat
 Backtesting.py,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://kernc.github.io/backtesting.py/,Backtest trading strategies in Python.,False,False,False,False,
 catalyst,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-09-22,2556,https://github.com/enigmampc/catalyst,An Algorithmic Trading Library for Crypto-Assets in Python.,True,False,False,False,enigmampc/catalyst
-quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,6981,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python.",True,False,False,False,ranaroussi/quantstats
-jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,28,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
+quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,6982,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python.",True,False,False,False,ranaroussi/quantstats
+jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,28,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
 qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-03-24,2254,https://github.com/ranaroussi/qtpylib,"QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>.",True,False,False,False,ranaroussi/qtpylib
 Quantdom,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,764,https://github.com/constverum/Quantdom,Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.],True,False,False,False,constverum/Quantdom
-freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,49173,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
+freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,49178,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
 algorithmic-trading-with-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-06-01,3287,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python
-Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,41135,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
+Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,41138,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
 machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-05,17122,https://github.com/stefan-jansen/machine-learning-for-trading,Code and resources for Machine Learning for Algorithmic Trading.,True,False,False,False,stefan-jansen/machine-learning-for-trading
 AlphaPy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-24,1717,https://github.com/ScottfreeLLC/AlphaPy,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",True,False,False,False,ScottfreeLLC/AlphaPy
-jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-09,7719,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse
+jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-09,7720,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse
 rqalpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-15,6319,https://github.com/ricequant/rqalpha,"A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities.",True,False,False,False,ricequant/rqalpha
 FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,14848,https://github.com/AI4Finance-LLC/FinRL-Library,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,True,False,False,False,AI4Finance-LLC/FinRL-Library
 bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2279,https://github.com/achillesrasquinha/bulbea,Deep Learning based Python Library for Stock Market Prediction and Modelling.,True,False,False,False,achillesrasquinha/bulbea
@@ -188,10 +188,10 @@ PyLOB,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtest
 PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,3270,https://github.com/edtechre/pybroker,Algorithmic Trading with Machine Learning.,True,False,False,False,edtechre/pybroker
 OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,40,https://github.com/Drakkar-Software/OctoBot-Script,A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading.,True,False,False,False,Drakkar-Software/OctoBot-Script
 hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,3970,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest
-vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,39734,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
+vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-14,39736,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
 Intelligent Trading Bot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,1665,https://github.com/asavinov/intelligent-trading-bot,Automatically generating signals and trading based on machine learning and feature engineering.,True,False,False,False,asavinov/intelligent-trading-bot
 fastquant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-15,1750,https://github.com/enzoampil/fastquant,fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.,True,False,False,False,enzoampil/fastquant
-nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,22182,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
+nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,22182,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
 YABTE,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-05-11,6,https://github.com/bsdz/yabte,Yet Another (Python) BackTesting Engine.,True,False,False,False,bsdz/yabte
 Trading Strategy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-21,215,https://github.com/tradingstrategy-ai/getting-started,"TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance.",True,False,False,False,tradingstrategy-ai/getting-started
 Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,3098,https://github.com/fasiondog/hikyuu,"A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination.",True,False,False,False,fasiondog/hikyuu
@@ -215,7 +215,7 @@ PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtes
 Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-12,20,https://github.com/rbeeli/Fastback.jl,Blazing fast Julia backtester.,True,False,False,False,rbeeli/Fastback.jl
 Lucky.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,27,https://github.com/oliviermilla/Lucky.jl,"Modular, asynchronous trading engine in pure Julia.",True,False,False,False,oliviermilla/Lucky.jl
 Strategems.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-06,167,https://github.com/dysonance/Strategems.jl,Quantitative systematic trading strategy development and backtesting.,True,False,False,False,dysonance/Strategems.jl
-ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,42021,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
+ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-21,42020,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
 TradeClaw,JavaScript,JavaScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,20,https://github.com/naimkatiman/tradeclaw,"Open-source AI trading signal platform with RSI/MACD/EMA confluence scoring, real-time signals for 10+ assets, self-hostable with one Docker command.",True,False,False,False,naimkatiman/tradeclaw
 Jiji,Ruby,Ruby,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-01-22,249,https://github.com/unageanu/jiji2,Open Source Forex algorithmic trading framework using OANDA REST API.,True,False,False,False,unageanu/jiji2
 Tai,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-06,494,https://github.com/fremantle-capital/tai,"Open Source composable, real time, market data and trade execution toolkit.",True,False,False,False,fremantle-capital/tai
@@ -228,7 +228,7 @@ OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-
 PandoraTrader,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-07-29,1386,https://github.com/pegasusTrader/PandoraTrader,"A C++ CTP trading framework, with very clear logic.",True,False,False,False,pegasusTrader/PandoraTrader
 NexusFix,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-10,47,https://github.com/SilverstreamsAI/NexusFix,"C++23 FIX protocol engine with zero-copy parsing and SIMD acceleration, 3x faster than QuickFIX.",True,False,False,False,SilverstreamsAI/NexusFix
 QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,18537,https://github.com/QuantConnect/Lean,Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage.,True,False,False,False,QuantConnect/Lean
-StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,9755,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
+StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-19,9758,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
 TDAmeritrade.DotNetCore,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-10,57,https://github.com/NVentimiglia/TDAmeritrade.DotNetCore,"Free, open-source .NET Client for the TD Ameritrade Trading Platform. Helps developers integrate TD Ameritrade API into custom trading solutions.",True,False,False,False,NVentimiglia/TDAmeritrade.DotNetCore
 Barter,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-05,2086,https://github.com/barter-rs/barter-rs,Open-source Rust framework for building event-driven live-trading & backtesting systems.,True,False,False,False,barter-rs/barter-rs
 LFEST,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-07,77,https://github.com/MathisWellmann/lfest-rs,Simulated perpetual futures exchange to trade your strategy against.,True,False,False,False,MathisWellmann/lfest-rs
@@ -236,7 +236,7 @@ OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,tra
 Sextant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,0,https://github.com/raphaub-hub/SEXTANT,"Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support.",True,False,False,False,raphaub-hub/SEXTANT
 TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,20,https://github.com/naimkatiman/tradeclaw,"Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))",True,False,False,False,naimkatiman/tradeclaw
 skfolio,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-21,1939,https://github.com/skfolio/skfolio,"Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.",True,False,False,False,skfolio/skfolio
-PyPortfolioOpt,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-10,5662,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
+PyPortfolioOpt,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-10,5661,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
 Eiten,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2020-09-21,3199,https://github.com/tradytics/eiten,"Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic investing strategies such as Eigen Portfolios, Minimum Variance Portfolios, Maximum Sharpe Ratio Portfolios, and Genetic Algorithms based Portfolios.",True,False,False,False,tradytics/eiten
 riskparity.py,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2024-05-27,319,https://github.com/dppalomar/riskparity.py,fast and scalable design of risk parity portfolios with TensorFlow 2.0.,True,False,False,False,dppalomar/riskparity.py
 mlfinlab,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2021-12-01,4688,https://github.com/hudson-and-thames/mlfinlab,"Implementations regarding ""Advances in Financial Machine Learning"" by Marcos Lopez de Prado. (Feature Engineering, Financial Data Structures, Meta-Labeling).",True,False,False,False,hudson-and-thames/mlfinlab
@@ -288,7 +288,7 @@ statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series-
 dynts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2016-11-02,87,https://github.com/quantmind/dynts,Python package for timeseries analysis and manipulation.,True,False,False,False,quantmind/dynts
 PyFlux,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2018-12-16,2141,https://github.com/RJT1990/pyflux,Python library for timeseries modelling and inference (frequentist and Bayesian) on models.,True,False,False,False,RJT1990/pyflux
 tsfresh,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-15,9175,https://github.com/blue-yonder/tsfresh,Automatic extraction of relevant features from time series.,True,False,False,False,blue-yonder/tsfresh
-Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20141,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet
+Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20142,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet
 tsmoothie,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2023-11-23,770,https://github.com/cerlymarco/tsmoothie,A python library for time-series smoothing and outlier detection in a vectorized way.,True,False,False,False,cerlymarco/tsmoothie
 pmdarima,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-17,1720,https://github.com/alkaline-ml/pmdarima,"A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",True,False,False,False,alkaline-ml/pmdarima
 gluon-ts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-17,5170,https://github.com/awslabs/gluon-ts,vProbabilistic time series modeling in Python.,True,False,False,False,awslabs/gluon-ts
@@ -308,8 +308,8 @@ garchmodels,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2
 TimeSeries.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-30,368,https://github.com/JuliaStats/TimeSeries.jl,Time series toolkit for Julia.,True,False,False,False,JuliaStats/TimeSeries.jl
 TimeFrames.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-09,4,https://github.com/femtotrader/TimeFrames.jl,A Julia library that defines TimeFrame (essentially for resampling TimeSeries).,True,False,False,False,femtotrader/TimeFrames.jl
 BTC Orderbook Microstructure Research,Jupyter Notebook,Jupyter Notebook,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-21,3,https://github.com/whoareunot/btc-orderbook-research,"statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread.",True,False,False,False,whoareunot/btc-orderbook-research
-OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-20,66344,https://github.com/OpenBB-finance/OpenBBTerminal,Terminal for investment research for everyone.,True,False,False,False,OpenBB-finance/OpenBBTerminal
-Fincept Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,13087,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
+OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-23,66345,https://github.com/OpenBB-finance/OpenBBTerminal,Terminal for investment research for everyone.,True,False,False,False,OpenBB-finance/OpenBBTerminal
+Fincept Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,13133,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
 yfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,23146,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
 coinpaprika-api-python-client,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-03,17,https://github.com/coinpaprika/coinpaprika-api-python-client,"Free crypto market data API client. 12,000+ coins, 350+ exchanges, tickers, OHLCV, historical prices. No API key for free tier.",True,False,False,False,coinpaprika/coinpaprika-api-python-client
 defeatbeta-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-17,580,https://github.com/defeat-beta/defeatbeta-api,An open-source alternative to Yahoo Finance's market data APIs with higher reliability.,True,False,False,False,defeat-beta/defeatbeta-api
@@ -491,7 +491,7 @@ Technical Analysis and Feature Engineering,,,"Reproducing Works, Training & Book
 Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-10-05,148,https://github.com/differential-machine-learning/notebooks,"Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.",True,False,False,False,differential-machine-learning/notebooks
 systematictradingexamples,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-07-22,474,https://github.com/robcarver17/systematictradingexamples,Examples of code related to book [Systematic Trading](www.systematictrading.org) and [blog](http://qoppac.blogspot.com).,True,False,False,False,robcarver17/systematictradingexamples
 pysystemtrade_examples,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2018-02-21,268,https://github.com/robcarver17/pysystemtrade_examples,Examples using pysystemtrade for Robert Carver's [blog](http://qoppac.blogspot.com).,True,False,False,False,robcarver17/pysystemtrade_examples
-ML_Finance_Codes,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-06-13,2571,https://github.com/mfrdixon/ML_Finance_Codes,Machine Learning in Finance: From Theory to Practice Book.,True,False,False,False,mfrdixon/ML_Finance_Codes
+ML_Finance_Codes,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-06-13,2572,https://github.com/mfrdixon/ML_Finance_Codes,Machine Learning in Finance: From Theory to Practice Book.,True,False,False,False,mfrdixon/ML_Finance_Codes
 Hands-On Machine Learning for Algorithmic Trading,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-01-18,1827,https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading,"Hands-On Machine Learning for Algorithmic Trading, published by Packt.",True,False,False,False,packtpublishing/hands-on-machine-learning-for-algorithmic-trading
 financialnoob-misc,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-08-26,28,https://github.com/financialnoob/misc,Codes from @financialnoob's posts.,True,False,False,False,financialnoob/misc
 MesoSim Options Trading Strategy Library,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-04-06,20,https://github.com/deltaray-io/strategy-library,Free and public Options Trading strategy library for MesoSim.,True,False,False,False,deltaray-io/strategy-library