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Open-source community for AI, LLMs, and Quantitative Finance
Empowering research and investment decisions with Large Language Models.
LLMQuant is an open-source community focused on AI, LLMs, and quantitative finance. We build practical tools and share proven techniques to bring AI into financial investment research — from data pipelines to trading workflows.
Six initiatives spanning data infrastructure, knowledge, research, and community.
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The knowledge harness for AI-native finance.
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Quant Wiki Open-source bilingual wiki for quantitative finance. |
Quant Paper AI-powered paper discovery — semantic search & knowledge cards. |
Quant Mind Turn financial knowledge into actionable intelligence. |
Quant Question Quant interview prep — curated problem bank & membership. |
LLMQuant Skills Reusable AI agent skills for quant workflows. |
LLMQuant Trader? An AI agent for trading. Beyond the event horizon. |
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Community
Join Group |
Products
LLMQuant Data Quant Question |
Open Source
Quant Wiki Quant Paper Quant Mind data-mcp |
Contact
info@llmquant.com llmquant.com |
Open-source · AI-native · Quant-driven
QuantMind is an agent-native knowledge extraction and retrieval framework for quantitative finance.
Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
Turn your Hermes agent into a financial analyst — on-demand equities / macro / options / prediction-market analysis, plus a standing watch: morning brief, earnings, 13F diffs, Polymarket. Powered by LLMQuant Data.
Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化,打破国内外量化金融行业信息差。
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