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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization in Python
A program for financial portfolio management, analysis and optimisation.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Entropy Pooling views and stress testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
A sentiment analyzer package for financial assets and securities utilizing GPT models.
tessa – simple, hassle-free access to price information of financial assets
Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.
A Python package for PME (Public Market Equivalent) calculation