An open source repository of books, articles, and learning material for quantitative finance enthusiasts.
This repository collects resources shared by members of the Quant Enthusiasts community, making them easy to find and access in one place. Everything here is freely available from official or authorized sources.
The goal is to build a central knowledge base that supports learners at different stages. Whether you are new to the field or already working in it, you will find resources to deepen your skills in:
- Probability and statistics
- Financial mathematics
- Risk management
- Algorithmic trading
- Programming for finance
- Data analysis and modeling
The repository is organized into directories for faster navigation. Each section includes books, guides, and reference materials.
- Calculus, linear algebra, probability, and statistics
- Time series analysis
- Numerical methods
- Corporate finance and valuation
- Portfolio theory
- Derivatives and fixed income
- Stochastic processes
- Option pricing models
- Risk and return analysis
- Python, C++, and R for quant finance
- SQL and data wrangling
- Machine learning for financial applications
- High frequency trading
- Market microstructure
- Behavioral finance
We welcome contributions from the community. Please ensure that:
- The resource is legally shareable and publicly available
- Links point to the official source or free distribution by the author
- Descriptions are clear and concise
To contribute:
- Fork the repository
- Add your resource to the correct category
- Submit a pull request with a short explanation of the addition
This repository only includes materials that are free to access from their respective publishers or authors. No copyrighted material is hosted or distributed here without permission.
Join the Quant Enthusiasts community to share and discover more resources: