Introduction-to-Quantitative-Finance

Why we included this project

People coming into quantitative finance often end up juggling a half-dozen bookmarks for tutorials, papers, and code. This repository consolidates much of that in one place: an open-source tutorial built around a multi-factor stock research framework, plus hand-picked collections of reference books, sell-side quant reports, backtesting materials, and factor-mining tools, organized by workflow stage from data to portfolio optimization. The arXiv Radar is the standout for anyone interested in the AI side, indexing close to a thousand recent papers that apply LLM and agent research to markets, including benchmark and evaluation work, with semantic search and institution filtering that save hours of manual digging. Treat it as a learning and discovery resource rather than production software, and it fills that role well.