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.
- 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.
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.
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.