Awesome Math & Trading

A curated list of high-quality resources on mathematics, statistics, machine learning, and quantitative trading.

Designed for:

• 🤖 ML practitioners in finance
• 🎓 Students preparing for quant interviews
• 📊 Quant traders
• 📈 Systematic/algorithmic traders

This list focuses on the mathematical and quantitative foundations of trading — from probability theory and stochastic calculus to practical algorithmic trading resources. All links are carefully selected for depth and long-term usefulness.

Contents

• BOOKS — Books on ML, deep learning, financial mathematics, and options.
• LECTURES — Lectures, keynotes, and long-form talks (mostly video) with notable speakers.
• COURSES — Courses, workshops, and video resources.
• LINKS — Link collections and reading roadmaps.
• GITHUB-FINANCE-REPOS — Finance-related GitHub repos from curated roundups, sorted by ★ with X sources in footnotes.

Contributing

Contributions are welcome!

Please:

• Add high-quality, non-promotional resources
• Provide a short description
• Keep categories consistent

Open a PR or issue to suggest additions.

Notes

If you find any material that may violate copyright or licensing terms, please open an issue or contact the maintainer so it can be removed.