This repository serves as a curated, real-time updated index of practical financial machine learning tools, applications, and research. It targets quantitative analysts, researchers, and developers in the finance industry looking for state-of-the-art libraries, techniques, and educational resources. The primary benefit is a consolidated, dynamic overview of the rapidly evolving landscape of ML in finance, saving users time in discovering relevant projects.

How It Works

The project aggregates links to GitHub repositories, papers, and courses, categorized by financial domain (e.g., Trading, Portfolio Management, NLP, Fixed Income). It dynamically updates repository status, last commit dates, and star counts, providing a snapshot of project health and community engagement. The underlying mechanism likely involves automated scraping or API integrations to maintain the real-time nature of the index.

Quick Start & Requirements

This repository is a curated list and does not require installation or execution. Users can directly browse the README and linked wikis for information on various financial ML tools.

Highlighted Details

• Features a comprehensive list of over 100 curated repositories across various financial ML sub-domains.
• Dynamically updated information on repository status, last commit, and star count for each listed project.
• Includes links to courses, papers, and research opportunities, particularly highlighting collaboration with Sov.ai.
• Covers a wide array of ML techniques applied to finance, from deep reinforcement learning for trading to NLP for sentiment analysis and portfolio optimization.

Maintenance & Community

The project is maintained by Sov.ai, a firm working with top quantitative hedge funds. They actively seek PhD graduates and doctoral students for research collaborations. The project is updated daily, with links to Sov.ai's documentation and research at docs.sov.ai.

Licensing & Compatibility

The repository itself is a curated list and does not impose licensing restrictions. Individual linked repositories will have their own licenses.

Limitations & Caveats

The README prioritizes the top 15 ranked repositories per section, with full lists available via wikis, which may lead to some discoverability issues for less popular but potentially valuable projects. Some listed repositories have not been updated recently (e.g., Stock-Prediction-Models last commit in 2021).