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Barca0412/Introduction-to-Quantitative-Finance

LLM agents & research★ 1,800 GitHub starsPython⏱ Commits today

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 forBeginners
Used forStrategy research, Data analysis
MarketsChina A-shares, Multi-market
StackPython
Learning curveEasy to start
Practical valueMedium practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceCommits 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.

In the author's words

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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