LLMQuant/quant-mind
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
About the project
Open-source agent-native knowledge extraction and retrieval framework for quantitative finance: turns papers, news and filings into typed artifacts with citations and timestamps. Agent-oriented, also usable as a Python library.
Useful for
- Build a cited structure tree from an arXiv paper via PaperFlow
- Produce semantic chunks with citations for downstream RAG retrieval
- Collect a replayable window of financial news via collect_news
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 9 stars so far today, about 11 expected by the end of the day.
- Over the last two days the pace is 2.3× that of the previous week and a half.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 2,994
- Stars in a day
- 11
- Forks
- 484
- Issues and pull requests
- 156
- Watchers
- 33
- Language
- Python
- License
- MIT
- Created
- March 14, 2025
- Last push
- August 15, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026GitHub Trending Python today: #9, +81 stars
- September 17, 2026GitHub Trending Python today: #9, +94 stars
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