diff --git a/index.html b/index.html
index d5f8534..f2aabb6 100644
--- a/index.html
+++ b/index.html
@@ -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="32422">
+      <tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32423">
         <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="32,422 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 32.4k</span></td>
+        <td class="col-stars"><span class="stars" title="32,423 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 32.4k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-24">2026-07-24</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3885,13 +3885,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="27307">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="27316">
         <td class="col-num">147</td>
         <td class="col-name">
           <a href="https://github.com/HKUDS/Vibe-Trading" target="_blank" rel="noopener">Vibe-Trading</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="27,307 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> 27.3k</span></td>
+        <td class="col-stars"><span class="stars" title="27,316 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> 27.3k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-24">2026-07-24</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4249,13 +4249,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22557">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22559">
         <td class="col-num">161</td>
         <td class="col-name">
           <a href="https://github.com/backtrader/backtrader" target="_blank" rel="noopener">backtrader</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="22,557 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> 22.6k</span></td>
+        <td class="col-stars"><span class="stars" title="22,559 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> 22.6k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2023-04-19">2023-04-19</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5002,13 +5002,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="52604">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="52605">
         <td class="col-num">190</td>
         <td class="col-name">
           <a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="52,604 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> 52.6k</span></td>
+        <td class="col-stars"><span class="stars" title="52,605 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> 52.6k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-24">2026-07-24</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5054,13 +5054,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="46608">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="46609">
         <td class="col-num">192</td>
         <td class="col-name">
           <a href="https://github.com/microsoft/qlib" target="_blank" rel="noopener">Qlib</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="46,608 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> 46.6k</span></td>
+        <td class="col-stars"><span class="stars" title="46,609 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> 46.6k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5113,7 +5113,7 @@
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
         <td class="col-stars"><span class="stars" title="20,068 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: 2026-07-24">2026-07-24</span></td>
+        <td class="col-update"><span class="last-update" title="Last commit: 2026-07-25">2026-07-25</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>
@@ -5314,13 +5314,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6255">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6256">
         <td class="col-num">202</td>
         <td class="col-name">
           <a href="https://github.com/Drakkar-Software/OctoBot" target="_blank" rel="noopener">OctoBot</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="6,255 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.3k</span></td>
+        <td class="col-stars"><span class="stars" title="6,256 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.3k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-17">2026-07-17</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5732,13 +5732,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43849">
+      <tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43850">
         <td class="col-num">218</td>
         <td class="col-name">
           <a href="https://github.com/vnpy/vnpy" target="_blank" rel="noopener">vnpy</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="43,849 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> 43.8k</span></td>
+        <td class="col-stars"><span class="stars" title="43,850 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> 43.9k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-05-17">2026-05-17</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5810,13 +5810,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="24958">
+      <tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="24959">
         <td class="col-num">221</td>
         <td class="col-name">
           <a href="https://github.com/nautechsystems/nautilus_trader" target="_blank" rel="noopener">nautilus_trader</a>
           <span class="mobile-category">Trading &amp; Backtesting</span>
         </td>
-        <td class="col-stars"><span class="stars" title="24,958 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 25k</span></td>
+        <td class="col-stars"><span class="stars" title="24,959 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 25k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-25">2026-07-25</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8054,13 +8054,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="9003">
+      <tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="9002">
         <td class="col-num">307</td>
         <td class="col-name">
           <a href="https://github.com/ghostfolio/ghostfolio" target="_blank" rel="noopener">Ghostfolio</a>
           <span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
         </td>
-        <td class="col-stars"><span class="stars" title="9,003 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9k</span></td>
+        <td class="col-stars"><span class="stars" title="9,002 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -9250,13 +9250,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="70979">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="70980">
         <td class="col-num">353</td>
         <td class="col-name">
           <a href="https://github.com/OpenBB-finance/OpenBBTerminal" target="_blank" rel="noopener">OpenBB Terminal</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="70,979 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> 71k</span></td>
+        <td class="col-stars"><span class="stars" title="70,980 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 71k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-20">2026-07-20</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9276,13 +9276,13 @@
           </div>
         </td>
       </tr>
-      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="28997">
+      <tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="29001">
         <td class="col-num">354</td>
         <td class="col-name">
           <a href="https://github.com/Fincept-Corporation/FinceptTerminal" target="_blank" rel="noopener">Fincept Terminal</a>
           <span class="mobile-category">Market Data &amp; Data Sources</span>
         </td>
-        <td class="col-stars"><span class="stars" title="28,997 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> 29k</span></td>
+        <td class="col-stars"><span class="stars" title="29,001 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> 29k</span></td>
         <td class="col-update"><span class="last-update" title="Last commit: 2026-07-14">2026-07-14</span></td>
         <td class="col-tags">
           <button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
diff --git a/projects.csv b/projects.csv
index 502c199..b5bbbc2 100644
--- a/projects.csv
+++ b/projects.csv
@@ -1,5 +1,5 @@
 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,2026-07-24,32422,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,2026-07-24,32423,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,2026-07-24,14847,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,2026-07-24,49308,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,2026-07-24,39093,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
@@ -145,7 +145,7 @@ mx-trader-bridge,Python,Python,Trading & Backtesting,Trading & Backtesting,tradi
 AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,15,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,2026-07-15,160,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,2026-07-12,59,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,2026-07-24,27307,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,2026-07-24,27316,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,2026-05-12,36,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,2026-07-20,321,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
 autonomous-audit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-03,0,https://pypi.org/project/autonomous-audit/,"Tamper-evident SHA-256 hash-chain audit log and human-readable report for AI trading-agent decisions; read-only, offline, and dependency-free (Python standard library only). [GitHub](https://github.com/Autonomous-Asset-Management-Agents/autonomous_/tree/main/packages/autonomous-audit)",False,False,True,False,
@@ -159,7 +159,7 @@ QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,
 quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,67,https://github.com/jeffrey-liang/quantitative,"Quantitative finance, and backtesting library.",True,False,False,False,jeffrey-liang/quantitative
 analyzer,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2015-12-22,216,https://github.com/llazzaro/analyzer,Python framework for real-time financial and backtesting trading strategies.,True,False,False,False,llazzaro/analyzer
 bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-24,2951,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
-backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22557,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
+backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22559,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
 TrendFollowingSystems,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,6,https://github.com/ArturSepp/TrendFollowingSystems,"Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests.",True,False,False,False,ArturSepp/TrendFollowingSystems
 backtest-bias,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-12,9,https://github.com/Finance-broski/backtest-bias,"Checks whether backtest price data is survivor-only: dead-name detection, measured bias benchmarks, CI integrity gates.",True,False,False,False,Finance-broski/backtest-bias
 pythalesians,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-09-23,63,https://github.com/thalesians/pythalesians,"Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc.",True,False,False,False,thalesians/pythalesians
@@ -188,11 +188,11 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
 jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-22,44,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
 qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-03-24,2268,https://github.com/ranaroussi/qtpylib,"QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>.",True,False,False,False,ranaroussi/qtpylib
 Quantdom,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,772,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,2026-07-24,52604,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,2026-07-24,52605,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,2021-06-01,3414,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python
-Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,46608,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
+Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,46609,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
 finlab,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-27,0,https://pypi.org/project/finlab/,"Python package for Taiwan stock market data, factor research, and vectorized backtesting with pandas-style strategy definitions.",False,False,True,False,
-machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-24,20068,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
+machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-25,20068,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,2025-08-24,1738,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,2026-07-13,8231,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,2026-07-23,6611,https://github.com/ricequant/rqalpha,"A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities.",True,False,False,False,ricequant/rqalpha
@@ -200,7 +200,7 @@ FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-
 aurumq-rl,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-19,27,https://github.com/yupoet/aurumq-rl,"Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference.",True,False,False,False,yupoet/aurumq-rl
 bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2316,https://github.com/achillesrasquinha/bulbea,Deep Learning based Python Library for Stock Market Prediction and Modelling.,True,False,False,False,achillesrasquinha/bulbea
 ib_nope,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-22,33,https://github.com/ajhpark/ib_nope,Automated trading system for NOPE strategy over IBKR TWS.,True,False,False,False,ajhpark/ib_nope
-OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-17,6255,https://github.com/Drakkar-Software/OctoBot,"Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.",True,False,False,False,Drakkar-Software/OctoBot
+OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-17,6256,https://github.com/Drakkar-Software/OctoBot,"Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.",True,False,False,False,Drakkar-Software/OctoBot
 OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,error,0,https://github.com/cryptoSUN2049/openFinclaw,"AI-native hedge fund platform: natural language strategy generation, Rust backtesting engine, multi-market execution, and self-evolving strategy pipeline with community leaderboard.",True,False,False,False,cryptoSUN2049/openFinclaw
 Stock-Prediction-Models,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-01-05,9468,https://github.com/huseinzol05/Stock-Prediction-Models,Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations.,True,False,False,False,huseinzol05/Stock-Prediction-Models
 AutoTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-05-04,1272,https://github.com/kieran-mackle/AutoTrader,A Python-based development platform for automated trading systems - from backtesting to optimization to livetrading.,True,False,False,False,kieran-mackle/AutoTrader
@@ -216,10 +216,10 @@ PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
 OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,45,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,2025-12-23,4307,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest
 flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-16,3,https://github.com/FlashAlpha-lab/flashalpha-fill-simulator,"Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies.",True,False,False,False,FlashAlpha-lab/flashalpha-fill-simulator
-vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-17,43849,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,2026-05-17,43850,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,2026-07-17,1828,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,2026-07-25,24958,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,2026-07-25,24959,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,2024-05-11,7,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,2026-07-24,236,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,2026-07-21,3375,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
@@ -305,7 +305,7 @@ 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,2026-04-13,15,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,2026-04-12,16,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,2026-07-23,9003,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,2026-07-23,9002,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,2026-03-01,3,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,2026-04-14,68,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,2020-04-27,4391,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
@@ -351,8 +351,8 @@ TimeFrames.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-
 PineForge,C++,C++,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-07-23,167,https://github.com/pineforge-4pass/pineforge-engine,"Deterministic offline PineScript v6 → C++ backtest runtime, validated trade-for-trade against TradingView (245/246 strict, 0 engine bugs). Runs locally via Docker and is drivable by AI agents through a bundled MCP server.",True,False,False,False,pineforge-4pass/pineforge-engine
 Korea Stock Data,Data,Data,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-19,0,https://github.com/na77tech-creator/korea-stock-data,"Free daily dataset of top KOSPI/KOSDAQ stocks by market cap: prices, fundamentals, and analyst consensus estimates in CSV/JSON, updated every trading day, LLM/AI-readable.",True,False,False,False,na77tech-creator/korea-stock-data
 BTC Orderbook Microstructure Research,Jupyter Notebook,Jupyter Notebook,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-21,7,https://github.com/whoareunot/btc-orderbook-research,"statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread.",True,False,False,False,whoareunot/btc-orderbook-research
-OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-20,70979,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,2026-07-14,28997,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,2026-07-20,70980,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,2026-07-14,29001,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
 yfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-23,24799,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
 treasurydirect,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,0,https://github.com/moshejs/treasurydirect,"Zero-dependency client for the US TreasuryDirect API: auction results, upcoming auctions, CUSIP lookups, and Debt to the Penny; no API key required.",True,False,False,False,moshejs/treasurydirect
 treasury-fiscaldata,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,0,https://github.com/moshejs/treasury-fiscaldata,"Typed client for the US Treasury FiscalData API (debt, average interest rates, exchange rates) with pagination and filtering; no API key required.",True,False,False,False,moshejs/treasury-fiscaldata