LLMQuant/quant-mind
- Total stars
- 3,027
- Today
- +1
More actions
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
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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. Read the original README →
Star growth looks organic. Data as of September 28, 2026, 10:29 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- 1 star so far today, about 3 expected by the end of the day.
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 26, 2026
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- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: September 28, 2026, 10:29 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 3,027
- Today
- +1 star on 2026-09-28 (UTC), ≈ 2 by evening
- Forks
- 490
- 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