Showing 6 of 6 projects
A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
An elegant and simple Python library for fetching financial data from various sources, designed for quantitative research.
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
A curated list of practical financial machine learning tools, applications, and research repositories.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
A modular quantitative finance framework for data collection, analysis, strategy backtesting, and machine learning across multiple markets.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.