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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>
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<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">
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@@ -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.
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- [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
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- [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.
- [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
- [QuantFinanceTraining](https://github.com/JoaoJungblut/QuantFinanceTraining) - This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
- [QuantFinanceTraining](https://github.com/JoaoJungblut/QuantFinanceTraining) - This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.