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2023-11-13 07:07:06 -03:00
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<div> <div>
<div class="quarto-title-meta-heading">Modified</div> <div class="quarto-title-meta-heading">Modified</div>
<div class="quarto-title-meta-contents"> <div class="quarto-title-meta-contents">
<p class="date-modified">October 16, 2023</p> <p class="date-modified">November 13, 2023</p>
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@@ -311,6 +311,7 @@ ul.task-list li input[type="checkbox"] {
<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/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/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> <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>
</ul> </ul>
</section> </section>
<section id="risk-analysis" class="level3"> <section id="risk-analysis" class="level3">
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<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/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/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> <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>
<li><a href="https://github.com/lingyixu/Quant-Finance-With-Python-Code">Quant-Finance-With-Python-Code</a> - Repo for code examples in Quantitative Finance with Python by Chris Kelliher</li>
</ul> </ul>
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@@ -126,6 +126,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [PyLOB](https://github.com/DrAshBooth/PyLOB) - Fully functioning fast Limit Order Book written in Python. - [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. - [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. - [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.
### Risk Analysis ### Risk Analysis
@@ -494,3 +495,4 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [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 - [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 - [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. - [MesoSim Options Trading Strategy Library](https://github.com/deltaray-io/strategy-library) - Free and public Options Trading strategy library for MesoSim.
- [Quant-Finance-With-Python-Code](https://github.com/lingyixu/Quant-Finance-With-Python-Code) - Repo for code examples in Quantitative Finance with Python by Chris Kelliher