Owner
LLMQuant
5 indexed repositories · View on GitHub
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quant-wiki
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international...
4220 stars
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quant-mind
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
Python · 2995 stars
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awesome-trading-agents
Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
824 stars
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skills
Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data
Shell · 222 stars
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llmquant-hermes
Turn your Hermes agent into a financial analyst — on-demand equities / macro / options / prediction-market analysis, plus a standing watc...
16 stars
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Difficulty 4/5 3-5 days Newbie friendliness 55/100
LLMQuant/quant-mind#157 ·
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
LLMQuant/quant-mind#155 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 58/100
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Difficulty 2/5 1-3 hours Newbie friendliness 58/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
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Difficulty 1/5 1-3 hours Newbie friendliness 76/100
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Difficulty 2/5 1-3 hours Newbie friendliness 38/100
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area: flows area: preprocess type: design
LLMQuant/quant-mind#133 · 1 comment · 1 assignee ·
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area: configs area: flows area: mind type: feature
Difficulty 5/5 Over a week Newbie friendliness 45/100
LLMQuant/quant-mind#127 · 1 comment ·
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area: flows type: feature
LLMQuant/quant-mind#121 · 1 assignee ·
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area: preprocess stale type: bug
Difficulty 5/5 Over a week Newbie friendliness 38/100
LLMQuant/quant-mind#108 · 2 comments ·
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area: mind area: preprocess type: feature
LLMQuant/quant-mind#95 · 1 assignee ·
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area: flows stale type: bug
Difficulty 4/5 3-5 days Newbie friendliness 58/100
LLMQuant/quant-mind#91 · 2 comments ·
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[内容有误] pdf图书链接全部爆掉 Open
Difficulty 3/5 1-2 days Newbie friendliness 50/100
LLMQuant/quant-wiki#124 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 48/100
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[内容有误] 研报精选pdf全部丢失 Open
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
LLMQuant/quant-wiki#123 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 45/100
LLMQuant/quant-wiki#122 ·
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type/discussion
LLMQuant/awesome-trading-agents#7 · 1 assignee ·
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area: flows area: mind type: refactor
Difficulty 5/5 Over a week Newbie friendliness 25/100
LLMQuant/quant-mind#71 ·
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[内容有误] Open
Difficulty 1/5 Under an hour Newbie friendliness 40/100
LLMQuant/quant-wiki#116 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 58/100
LLMQuant/quant-wiki#114 · 1 comment ·
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[内容有误] Open
Difficulty 2/5 1-3 hours Newbie friendliness 48/100
LLMQuant/quant-wiki#110 ·
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area: flows stale type: feature
Difficulty 5/5 Over a week Newbie friendliness 30/100
LLMQuant/quant-mind#69 · 2 comments ·
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area: flows stale type: feature
LLMQuant/quant-mind#63 · 1 comment · 1 assignee ·
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area: examples area: flows stale type: feature
LLMQuant/quant-mind#60 · 1 comment · 1 assignee ·
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某些link对应的pdf不存在 Open
Difficulty 2/5 1-3 hours Newbie friendliness 35/100
LLMQuant/quant-wiki#96 ·
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Difficulty 4/5 3-5 days Newbie friendliness 20/100
LLMQuant/quant-wiki#93 · 2 comments ·
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area: preprocess good first issue help wanted impact: live-network type: feature
LLMQuant/quant-mind#35 · 2 assignees ·
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[功能请求] 学术论文内容建议 Open
Difficulty 4/5 3-5 days Newbie friendliness 35/100
LLMQuant/quant-wiki#92 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
LLMQuant/quant-wiki#88 ·
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LLMQuant/quant-wiki#79 · 3 assignees ·
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中国本土化的背景知识缺失 Open
Difficulty 4/5 3-5 days Newbie friendliness 45/100
LLMQuant/quant-wiki#67 · 4 reactions ·
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添加 SMA 扩展指数加权移动平均 Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
LLMQuant/quant-wiki#47 ·
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enhancement
LLMQuant/quant-wiki#40 · 1 assignee ·