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quant-mind

LLMQuant/quant-mind

Intelligent knowledge extraction and retrieval framework for quantitative finance

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

27views this month

3.0k stars481 forksLast push Aug 15, 2026 Python MIT

Decision brief

QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance, leveraging advanced techniques to assist in the analysis of financial data.

Good fit when

Use QuantMind when you need specialized tools for quantitative finance that can handle complex knowledge extraction and retrieval processes efficiently.
Ideal for environments where detailed market or historical financial data needs precise analysis using Python.

Avoid when

Avoid using QuantMind if your project does not involve quantitative finance, as its specific functionalities may offer limited value in non-finance areas.
Do not use this framework if you do not require advanced knowledge extraction and retrieval mechanisms or prefer simpler tools without integration with the uv package manager.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report

Maintenance: Steady (32d since push); As of Sep 17, 2026
Provenance: Not a fork · Organization account; As of Sep 17, 2026
Security (OSV): No lockfile; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install quant-mind

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

QuantMind is designed to aid in the analysis of financial data through advanced knowledge extraction and retrieval techniques.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 17, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 17, 2026)

QuantMind is still a normal Python package. We use [uv](https://github.com/astral-sh/uv) for package management.

Source link

README

🚀 Quick Start The agent path (recommended) QuantMind is meant to be opened, not imported. Point a coding agent at the checkout and describe the pipeline you want: Then, in the agent session: "Build me a source first paper artifact for arXiv 1706.03762, then persist it and search...

For agents

This page has a .md twin and JSON over the API.

/tools/llmquant-quant-mind.md GET /api/graphcanon/tools/llmquant-quant-mind GET /api/graphcanon/graph?tool=llmquant-quant-mind