PyPatel/Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
This is a curated collection of advanced learning resources for aspiring or current quantitative finance professionals. It brings together rigorous courses, essential books, academic papers, and articles on mathematics, AI, and coding specifically tailored for STEM graduates. The output is a structured guide to deepen understanding and practical skills in areas like derivative pricing, algorithmic trading, and market microstructure.
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Use this if you are a STEM graduate looking for in-depth, university-level resources to build or advance a career in quantitative finance, especially in areas like high-frequency trading.
Not ideal if you are a complete beginner to finance or programming, or if you prefer general introductory courses over specialized, mathematically intensive content.
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