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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Portfolio analytics for quants, written in Python
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
GPU-accelerated Factors analysis library and Backtester