site updated

docs/index.html

@@ -175,7 +175,7 @@ ul.task-list li input[type="checkbox"] {
     <div>
     <div class="quarto-title-meta-heading">Modified</div>
     <div class="quarto-title-meta-contents">
-      <p class="date-modified">December 6, 2023</p>
+      <p class="date-modified">January 2, 2024</p>
     </div>
   </div>
     
@@ -247,6 +247,7 @@ ul.task-list li input[type="checkbox"] {
 <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">

index.qmd

@@ -63,6 +63,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [lppls](https://github.com/Boulder-Investment-Technologies/lppls) - A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.
 
 ### Trading & Backtesting
+- [skfolio](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.
 - [Investing algorithm framework](https://github.com/coding-kitties/investing-algorithm-framework) - Framework for developing, backtesting, and deploying automated trading algorithms.
 - [QSTrader](https://github.com/mhallsmoore/qstrader) - QSTrader backtesting simulation engine.
 - [Blankly](https://github.com/Blankly-Finance/Blankly) - Fully integrated backtesting, paper trading, and live deployment.
@@ -132,6 +133,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [OctoBot Script](https://github.com/Drakkar-Software/OctoBot-Script) - A quant framework to create cryptocurrencies strategies - from backtesting to optimisation to livetrading.
 - [hftbacktest](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.
 - [vnpy](https://github.com/vnpy/vnpy) - VeighNa is a Python-based open source quantitative trading system development framework.
+- [Intelligent Trading Bot](https://github.com/asavinov/intelligent-trading-bot) - Automatically generating signals and trading based on machine learning and feature engineering
 
 ### Risk Analysis