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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.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Portfolio Optimization in Python
Statistical and Algorithmic Investing Strategies for Everyone
Python library for portfolio optimization built on top of scikit-learn
Machine Learning in Asset Management (by @firmai)
Portfolio optimization with deep learning.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Fast and scalable construction of risk parity portfolios
Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
A JavaScript library to allocate and optimize financial portfolios.
63 deterministic quant computation tools for autonomous financial agents. Options, derivatives, risk, portfolio, statistics, crypto/DeFi, macro/FX, TVM. 1,000 free calls/day — no signup.