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Added OctoBot and MesoSim Options Trading Strategy Library

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wilsonfreitas
2023-10-16 06:04:14 -03:00
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commit e889003d99
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docs/index.html
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@@ -173,7 +173,7 @@ 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">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>
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index.qmd
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@@ -125,6 +125,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [pytrendseries](https://github.com/rafa-rod/pytrendseries) - Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
- [PyLOB](https://github.com/DrAshBooth/PyLOB) - Fully functioning fast Limit Order Book written in Python.
- [PyBroker](https://github.com/edtechre/pybroker) - Algorithmic Trading with Machine Learning.
- [OctoBot Script](https://github.com/Drakkar-Software/OctoBot-Script) - A quant framework to create cryptocurrencies strategies - from backtesting to optimisation to livetrading.
### Risk Analysis
@@ -492,3 +493,4 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [ML_Finance_Codes](https://github.com/mfrdixon/ML_Finance_Codes) - Machine Learning in Finance: From Theory to Practice Book
- [Hands-On Machine Learning for Algorithmic Trading](https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading) - Hands-On Machine Learning for Algorithmic Trading, published by Packt
- [financialnoob-misc](https://github.com/financialnoob/misc) - Codes from @financialnoob's posts
- [MesoSim Options Trading Strategy Library](https://github.com/deltaray-io/strategy-library) - Free and public Options Trading strategy library for MesoSim.