diff --git a/index.html b/index.html
index 841676f..6469329 100644
--- a/index.html
+++ b/index.html
@@ -31,7 +31,7 @@
         <p class="hero-subtitle">A curated list of insanely awesome libraries, packages and resources for Quants.</p>
         <p class="hero-maintained">Maintained by <a href="https://github.com/wilsonfreitas">Wilson Freitas</a></p>
         <div class="hero-stats">
-          <span class="stat"><strong>570</strong> projects</span>
+          <span class="stat"><strong>571</strong> projects</span>
           <span class="stat-sep"></span>
           <span class="stat"><strong>21</strong> languages</span>
         </div>
@@ -60,7 +60,7 @@
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+            <button class="tag tag-section tag-cloud-item" data-filter-type="category" data-filter-value="Portfolio Optimization &amp; Risk Analysis" style="font-size: 1.06em;">Portfolio Optimization &amp; Risk Analysis</button>
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@@ -90,13 +90,13 @@
               </tr>
             </thead>
             <tbody>
-      <tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32399">
+      <tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32400">
         <td class="col-num">1</td>
         <td class="col-name">
           <a href="https://www.numpy.org" target="_blank" rel="noopener">numpy</a>
           <span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
         </td>
-        <td class="col-stars"><span class="stars" title="32,399 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> 32.4k</span></td>
+        <td class="col-stars"><span class="stars" title="32,400 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> 32.4k</span></td>
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-      <tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14729">
+      <tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14730">
         <td class="col-num">7</td>
         <td class="col-name">
           <a href="https://www.sympy.org/" target="_blank" rel="noopener">sympy</a>
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+        <td class="col-stars"><span class="stars" title="14,730 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 14.7k</span></td>
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@@ -3520,13 +3520,13 @@
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-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="14990">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="14999">
         <td class="col-num">133</td>
         <td class="col-name">
           <a href="https://github.com/HKUDS/Vibe-Trading" target="_blank" rel="noopener">Vibe-Trading</a>
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+        <td class="col-stars"><span class="stars" title="14,999 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> 15k</span></td>
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@@ -3832,13 +3832,13 @@
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-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2898">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2899">
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         <td class="col-name">
           <a href="https://github.com/pmorissette/bt" target="_blank" rel="noopener">bt</a>
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@@ -5237,13 +5237,13 @@
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-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42393">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42394">
         <td class="col-num">199</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>
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-        <td class="col-update"><span class="last-update" title="Last commit: 2026-06-28">2026-06-28</span></td>
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-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2415">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2414">
         <td class="col-num">409</td>
         <td class="col-name">
           <a href="https://github.com/dgunning/edgartools" target="_blank" rel="noopener">edgartools</a>
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-      <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
+      <tr class="row" data-languages="Python" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
         <td class="col-num">539</td>
+        <td class="col-name">
+          <a href="https://finsignals.ai" target="_blank" rel="noopener">FinSignals</a>
+          <span class="mobile-category">Commercial &amp; Proprietary Services</span>
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+        <td class="col-stars"></td>
+        <td class="col-update"></td>
+        <td class="col-tags">
+          <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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+        <td class="col-arrow"><span class="arrow">&#8250;</span></td>
+      </tr>
+      <tr class="expand-row" hidden>
+        <td colspan="6">
+          <div class="expand-content">
+            <p class="expand-desc">Reddit-tuned NLP API classifying financial posts across 7 dimensions: sentiment, directionality, quality, post type, relevance score, author confidence, and sarcasm. Free tier available.</p>
+            <div class="expand-links">
+              <a href="https://finsignals.ai" target="_blank" rel="noopener">https://finsignals.ai</a>
+              
+            </div>
+          </div>
+        </td>
+      </tr>
+      <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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         <td class="col-name">
           <a href="https://gomacro.ai" target="_blank" rel="noopener">goMacro.ai</a>
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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         <td class="col-name">
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@@ -14054,7 +14079,7 @@
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">541</td>
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         <td class="col-name">
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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+        <td class="col-num">543</td>
         <td class="col-name">
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">544</td>
+        <td class="col-num">545</td>
         <td class="col-name">
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">545</td>
+        <td class="col-num">546</td>
         <td class="col-name">
           <a href="https://earningsfeed.com/api" target="_blank" rel="noopener">Earnings Feed</a>
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       </tr>
       <tr class="row" data-languages="REST" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">546</td>
+        <td class="col-num">547</td>
         <td class="col-name">
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">547</td>
+        <td class="col-num">548</td>
         <td class="col-name">
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@@ -14223,7 +14248,7 @@
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">548</td>
+        <td class="col-num">549</td>
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           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">549</td>
+        <td class="col-num">550</td>
         <td class="col-name">
           <a href="https://www.developer.saxo/" target="_blank" rel="noopener">SaxoOpenAPI</a>
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">550</td>
+        <td class="col-num">551</td>
         <td class="col-name">
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@@ -14295,7 +14320,7 @@
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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+        <td class="col-num">552</td>
         <td class="col-name">
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">552</td>
+        <td class="col-num">553</td>
         <td class="col-name">
           <a href="https://parsecfinance.com" target="_blank" rel="noopener">Parsec</a>
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">553</td>
+        <td class="col-num">554</td>
         <td class="col-name">
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           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">554</td>
+        <td class="col-num">555</td>
         <td class="col-name">
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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+        <td class="col-num">556</td>
         <td class="col-name">
           <a href="https://agents.systemr.ai" target="_blank" rel="noopener">System R</a>
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">556</td>
+        <td class="col-num">557</td>
         <td class="col-name">
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           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">557</td>
+        <td class="col-num">558</td>
         <td class="col-name">
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           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
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       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
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+        <td class="col-num">559</td>
         <td class="col-name">
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           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14487,7 +14512,7 @@
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">559</td>
+        <td class="col-num">560</td>
         <td class="col-name">
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@@ -14511,7 +14536,7 @@
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       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">560</td>
+        <td class="col-num">561</td>
         <td class="col-name">
           <a href="https://www.agenttoolbelt.live" target="_blank" rel="noopener">Agent Toolbelt</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14535,7 +14560,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">561</td>
+        <td class="col-num">562</td>
         <td class="col-name">
           <a href="https://www.ml-quant.com/" target="_blank" rel="noopener">ML-Quant</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14559,7 +14584,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">562</td>
+        <td class="col-num">563</td>
         <td class="col-name">
           <a href="https://realmarketapi.com/" target="_blank" rel="noopener">RealMarketAPI</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14583,7 +14608,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">563</td>
+        <td class="col-num">564</td>
         <td class="col-name">
           <a href="https://thestockradar.com" target="_blank" rel="noopener">The Stock Radar</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14607,7 +14632,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">564</td>
+        <td class="col-num">565</td>
         <td class="col-name">
           <a href="https://www.sharpe.ai/" target="_blank" rel="noopener">Sharpe</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14631,7 +14656,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">565</td>
+        <td class="col-num">566</td>
         <td class="col-name">
           <a href="https://webb-database.com/" target="_blank" rel="noopener">Webb Database</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14655,7 +14680,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">566</td>
+        <td class="col-num">567</td>
         <td class="col-name">
           <a href="https://gitdealflow.com" target="_blank" rel="noopener">GitDealFlow</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14679,7 +14704,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="TypeScript" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">567</td>
+        <td class="col-num">568</td>
         <td class="col-name">
           <a href="https://finterm.xyz" target="_blank" rel="noopener">Finterm</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14704,7 +14729,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
-        <td class="col-num">568</td>
+        <td class="col-num">569</td>
         <td class="col-name">
           <a href="https://coinugget.com" target="_blank" rel="noopener">Coinugget</a>
           <span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14728,7 +14753,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="28">
-        <td class="col-num">569</td>
+        <td class="col-num">570</td>
         <td class="col-name">
           <a href="https://github.com/vibeyclaw/awesome-sec-filings" target="_blank" rel="noopener">awesome-sec-filings</a>
           <span class="mobile-category">Related Lists</span>
@@ -14753,7 +14778,7 @@
         </td>
       </tr>
       <tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="0">
-        <td class="col-num">570</td>
+        <td class="col-num">571</td>
         <td class="col-name">
           <a href="https://github.com/convexfi" target="_blank" rel="noopener">CONVEXFI</a>
           <span class="mobile-category">Related Lists</span>
diff --git a/projects.csv b/projects.csv
index 1a69832..962a6d1 100644
--- a/projects.csv
+++ b/projects.csv
@@ -1,11 +1,11 @@
 project,language,languages,category,section,section_slug,last_commit,stars,url,description,github,cran,pypi,commercial,repo
-numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,32399,https://www.numpy.org,NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy),True,False,False,False,numpy/numpy
+numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,32400,https://www.numpy.org,NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy),True,False,False,False,numpy/numpy
 scipy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14787,https://www.scipy.org,"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy)",True,False,False,False,scipy/scipy
 pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,49219,https://pandas.pydata.org,"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas)",True,False,False,False,pandas-dev/pandas
 polars,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,38890,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars
 quantdsl,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2017-10-26,381,https://github.com/johnbywater/quantdsl,Domain specific language for quantitative analytics in finance and trading.,True,False,False,False,johnbywater/quantdsl
 statistics,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,,0,https://docs.python.org/3/library/statistics.html,Builtin Python library for all basic statistical calculations.,False,False,False,False,
-sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14729,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
+sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14730,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
 pymc3,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-23,9655,https://docs.pymc.io/,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc),True,False,False,False,pymc-devs/pymc
 modelx,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-31,131,https://docs.modelx.io/,Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx),True,False,False,False,fumitoh/modelx
 ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-26,2418,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
@@ -131,7 +131,7 @@ mx-trader-bridge,Python,Python,Trading & Backtesting,Trading & Backtesting,tradi
 AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,12,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,2026-06-23,92,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,2026-06-29,51,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,2026-06-29,14990,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
+Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,14999,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
 DeepAlpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-12,29,https://deepalphabot.com,"AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy on out-of-sample data, LightGBM + XGBoost ensemble with 72 ML features. [GitHub](https://github.com/stefanoviana/deepalpha)",True,False,False,False,stefanoviana/deepalpha
 the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-24,265,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,2026-05-24,1289,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
@@ -143,7 +143,7 @@ zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,tradi
 QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-10-07,480,https://github.com/QuantSoftware/QuantSoftwareToolkit,Python-based open source software framework designed to support portfolio construction and management.,True,False,False,False,QuantSoftware/QuantSoftwareToolkit
 quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,67,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,2026-06-22,2898,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
+bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-22,2899,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
 backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22192,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
 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
 pybacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-09-09,821,https://github.com/ematvey/pybacktest,"Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier.",True,False,False,False,ematvey/pybacktest
@@ -197,7 +197,7 @@ PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
 OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,43,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,2025-12-23,4233,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,2026-06-16,2,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,2026-05-17,42393,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,2026-05-17,42394,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,2026-06-01,1740,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,2023-09-15,1751,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,2026-06-29,24309,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
@@ -282,7 +282,7 @@ PerformanceAnalytics,R,R,Portfolio Optimization & Risk Analysis,Portfolio Optimi
 OnlinePortfolioAnalytics.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-13,14,https://github.com/femtotrader/OnlinePortfolioAnalytics.jl,A Julia quantitative portfolio analytics (risk / performance) via online algorithms.,True,False,False,False,femtotrader/OnlinePortfolioAnalytics.jl
 RiskPerf.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-12,15,https://github.com/rbeeli/RiskPerf.jl,Quantitative risk and performance analysis package for financial time series powered by the Julia language.,True,False,False,False,rbeeli/RiskPerf.jl
 portfolio-allocation,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2022-08-11,187,https://github.com/lequant40/portfolio_allocation_js,"PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks...",True,False,False,False,lequant40/portfolio_allocation_js
-Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-06-28,8870,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
+Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-06-29,8870,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
 rebalance,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-01,2,https://github.com/cjroth/rebalance,"Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions.",True,False,False,False,cjroth/rebalance
 Alpha Skills,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-04-14,55,https://github.com/VernonOY/alpha-skills,"AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets.",True,False,False,False,VernonOY/alpha-skills
 alphalens,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2020-04-27,4350,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
@@ -407,7 +407,7 @@ datamule-python,Python,Python,Market Data & Data Sources,Market Data & Data Sour
 fsynth,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-12-27,7,https://github.com/welcra/fsynth,Python library for high-fidelity unlimited synthetic financial data generation using Heston Stochastic Volatility and Merton Jump Diffusion.,True,False,False,False,welcra/fsynth
 fedfred,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://nikhilxsunder.github.io/fedfred/,"FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes.",False,False,False,False,
 edgar-sec,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://nikhilxsunder.github.io/edgar-sec/,EDGAR Financial data API with preprocessed dataclass outputs.,False,False,False,False,
-edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-29,2415,https://github.com/dgunning/edgartools,"AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.",True,False,False,False,dgunning/edgartools
+edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-29,2414,https://github.com/dgunning/edgartools,"AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.",True,False,False,False,dgunning/edgartools
 disclosure-alpha,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-26,1,https://github.com/alwank/disclosure-alpha,"Deterministic SEC filing analytics for 10-K/10-Q: section extraction, tone and boilerplate metrics, year-over-year diff, and reproducible disclosure risk scores. CLI, Python SDK, HTTP panel screener, and MCP — no LLM required.",True,False,False,False,alwank/disclosure-alpha
 FilingFirehose,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://filingfirehose.com,"SEC EDGAR JSON API + free Forensic risk-scoring tool: body-text-classified 8-Ks flagging buried events (~7.3% of Item 8.01 filings), Schedule 13D/G with 21+ activist filers auto-tagged, S-3/424B5 ATM offering detection. Free Forensic risk score 0-100 per ticker grounded in cited SEC filings ([leaderboard](https://filingfirehose.com/forensic/leaderboard)). Open-source classifier at [buried-events-parser](https://github.com/jaablon/buried-events-parser). Also exposed as MCP server, ChatGPT GPT, and GitHub Action.",False,False,False,False,
 FXMacroData,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-15,8,https://fxmacrodata.com/,Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements. [GitHub](https://github.com/fxmacrodata/fxmacrodata),True,False,False,False,fxmacrodata/fxmacrodata
@@ -537,6 +537,7 @@ direct_vola,Python,"Python,R","Reproducing Works, Training & Books","Reproducing
 Chartscout,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://chartscout.io,Real-time cryptocurrency chart pattern detection with automated alerts across multiple exchanges.,False,False,False,False,
 DayTradingBench,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://daytradingbench.com,Live autonomous benchmark that evaluates LLM trading performance on DAX and Nasdaq indices using identical strategies and real-time market data. API access available.,False,False,False,False,
 CoinTester,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://cointester.io,"No-code crypto backtesting platform with 100+ indicators, AI sentiment signals, and 5+ years of historical data across 1,000+ trading pairs.",False,False,False,False,
+FinSignals,Python,Python,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://finsignals.ai,"Reddit-tuned NLP API classifying financial posts across 7 dimensions: sentiment, directionality, quality, post type, relevance score, author confidence, and sarcasm. Free tier available.",False,False,False,False,
 goMacro.ai,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://gomacro.ai,"AI-powered economic calendar with institutional-grade insights, bull/bear/base case scenario planning for NFP, CPI, PPI and other macro data releases.",False,False,False,False,
 StockAInsights,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://stockainsights.com,"AI-extracted financial statements API covering SEC filings including foreign filers (20-F, 6-K, 40-F), normalized quarterly and annual data from 2014+.",False,False,False,False,
 StockVektor,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://stockvektor.com,"Free stock research web app for ~1,300 US stocks with explainable quality scores (Piotroski F-Score, Altman Z-Score, Beneish M-Score, ROIC, EV/EBIT) computed from SEC EDGAR data, sector-relative metrics, insider buying clusters, 13F super-investor overlap, and activist filing (Schedule 13D/G) tracking.",False,False,False,False,