Added OctoBot and MesoSim Options Trading Strategy Library

docs/index.html

@@ -173,7 +173,7 @@ ul.task-list li input[type="checkbox"] {
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     <div class="quarto-title-meta-heading">Modified</div>
     <div class="quarto-title-meta-contents">
-      <p class="date-modified">September 21, 2023</p>
+      <p class="date-modified">October 16, 2023</p>
     </div>
   </div>
     
@@ -310,6 +310,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/rafa-rod/pytrendseries">pytrendseries</a> - Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.</li>
 <li><a href="https://github.com/DrAshBooth/PyLOB">PyLOB</a> - Fully functioning fast Limit Order Book written in Python.</li>
 <li><a href="https://github.com/edtechre/pybroker">PyBroker</a> - Algorithmic Trading with Machine Learning.</li>
+<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>
 </ul>
 </section>
 <section id="risk-analysis" class="level3">
@@ -747,6 +748,7 @@ ul.task-list li input[type="checkbox"] {
 <li><a href="https://github.com/mfrdixon/ML_Finance_Codes">ML_Finance_Codes</a> - Machine Learning in Finance: From Theory to Practice Book</li>
 <li><a href="https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading">Hands-On Machine Learning for Algorithmic Trading</a> - Hands-On Machine Learning for Algorithmic Trading, published by Packt</li>
 <li><a href="https://github.com/financialnoob/misc">financialnoob-misc</a> - Codes from <span class="citation" data-cites="financialnoob">@financialnoob</span>’s posts</li>
+<li><a href="https://github.com/deltaray-io/strategy-library">MesoSim Options Trading Strategy Library</a> - Free and public Options Trading strategy library for MesoSim.</li>
 </ul>