Barca0412/Introduction-to-Quantitative-Finance
入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
This is a curated collection of resources designed for individuals interested in quantitative finance research. It provides materials for developing multi-factor stock quantitative investment strategies, including open-source tutorials and relevant academic papers. The primary users are quantitative researchers, financial analysts, and students looking to understand and apply quantitative methods in financial markets.
1,242 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a quantitative researcher, student, or financial professional seeking to learn or enhance your knowledge in quantitative finance, especially in multi-factor modeling, algorithmic trading, and AI applications in finance.
Not ideal if you are looking for a plug-and-play trading bot or a tool for casual investing without a deep dive into quantitative methodologies.
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Language
Python
License
MIT
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Last pushed
Mar 12, 2026
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