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Barca0412/Introduction-to-Quantitative-Finance
Chinese open-source quant finance tutorial with AI arXiv radar
What it is
An open-source Chinese-language knowledge base for quantitative research, combining a multi-factor equity quant tutorial with curated resources on data sources, backtesting, factor mining, machine learning, and portfolio optimization. It also maintains an AI + Finance arXiv Radar that automatically fetches, clusters, and indexes LLM- and agent-related finance papers with semantic search and trend views. The material suits quantitative researchers and learners, particularly those reading Chinese and interested in LLM-based trading research. As a tutorial and reference collection, it is educational material rather than a production trading system, and much of the linked content is research code.
At a glance
Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Beginners |
|---|---|
| Used for | Strategy research, Data analysis |
| Markets | China A-shares, Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Commits today |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): +63 over the period, now 1,800. Gaps mean no snapshot was taken that day.
AI+金融(量化):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.
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