Barca0412/Introduction-to-Quantitative-Finance resource
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. observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 99
- Release rhythm 35
- Longevity 80
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1125
- days_rel: n/a
- days_push: 8
- n_releases_24m: 0
Adoption not part of the score
1696 stars · 179 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Chinese-language open-source knowledge base for quantitative finance research, featuring a multi-factor equity investing tutorial, curated tools/courses/papers, and a daily AI+Finance arXiv Radar that fetches, tags, and summarizes papers with LLMs. It is educational material rather than a runnable trading system.
Use cases
- learn multi-factor quantitative equity research from scratch
- find open-source backtesting frameworks like Qlib or Backtrader
- track the latest AI and LLM papers in finance daily
- discover courses, forums, and datasets for quant research
- learn factor mining including ML and LLM-based factors
- study portfolio optimization and Barra-style risk models
When to choose
- you are a student or researcher starting in quantitative finance
- you want a curated Chinese-language learning path for quant investing
- you need to stay current on AI+Finance research papers
- you want a map of open-source quant tools before building your own
When to avoid
- you need production-ready trading or execution software
- you want a runnable backtesting engine rather than tutorials and links
- you need English-only documentation
- you expect financial advice or guaranteed strategies
Facets
learning-resource · maturity active
machine-learning llm-inference agent-framework data-science trading fintech machine-learning large-language-models education tutorials awesome-lists python cross-platform quantitative-finance multi-factor backtesting factor-mining portfolio-optimization arxiv-radar ai4finance chinese-language open-tutorial web-server
2 sources
- readme: https://github.com/Barca0412/Introduction-to-Quantitative-Finance · fetched 2026-08-28 · 166e03efff40
- homepage: https://barca0412.github.io/Introduction-to-Quantitative-Finance/ · fetched 2026-08-29 · d9129e65c707
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Barca0412/Introduction-to-Quantitative-Finance | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="Barca0412/Introduction-to-Quantitative-Finance")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem