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docs/index.html

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     <div class="quarto-title-meta-heading">Modified</div>
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-      <p class="date-modified">December 6, 2023</p>
+      <p class="date-modified">January 2, 2024</p>
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 <section id="trading-backtesting" class="level3">
 <h3 class="anchored" data-anchor-id="trading-backtesting">Trading &amp; Backtesting</h3>
 <ul>
+<li><a href="https://github.com/skfolio/skfolio">skfolio</a> - 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.</li>
 <li><a href="https://github.com/coding-kitties/investing-algorithm-framework">Investing algorithm framework</a> - Framework for developing, backtesting, and deploying automated trading algorithms.</li>
 <li><a href="https://github.com/mhallsmoore/qstrader">QSTrader</a> - QSTrader backtesting simulation engine.</li>
 <li><a href="https://github.com/Blankly-Finance/Blankly">Blankly</a> - Fully integrated backtesting, paper trading, and live deployment.</li>
@@ -316,6 +317,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/Drakkar-Software/OctoBot-Script">OctoBot Script</a> - A quant framework to create cryptocurrencies strategies - from backtesting to optimisation to livetrading.</li>
 <li><a href="https://github.com/nkaz001/hftbacktest">hftbacktest</a> - 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.</li>
 <li><a href="https://github.com/vnpy/vnpy">vnpy</a> - VeighNa is a Python-based open source quantitative trading system development framework.</li>
+<li><a href="https://github.com/asavinov/intelligent-trading-bot">Intelligent Trading Bot</a> - Automatically generating signals and trading based on machine learning and feature engineering</li>
 </ul>
 </section>
 <section id="risk-analysis" class="level3">