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wilsonfreitas committed Jan 2, 2024
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Expand Up @@ -175,7 +175,7 @@ <h1 class="title">Awesome Quant</h1>
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<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>
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Expand Down Expand Up @@ -247,6 +247,7 @@ <h3 class="anchored" data-anchor-id="indicators">Indicators</h3>
<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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