llmquant/quant-wiki

We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative...

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Summary Information

Updated 46 minutes ago
Type:Curated List / Learning ResourceCategory(s):Fintech & Quant TradingScience & Industry
Added to GitGenius on September 16th, 2026
Created on December 29th, 2024
Open Issues & Pull Requests: 21 (+0)
GitHub issues: Enabled
Number of forks: 337
Total Stargazers: 4,228 (+0)
Total Subscribers: 23 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 13.4 hours
Mean response time: 14.4 days
90th percentile: 59.4 days
Tracked items: 27

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Issue Activity (beta)

Open issues: 14
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 336 days
Stale 30+ days: 13
Stale 90+ days: 11

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (6)
  • enhancement (4)
  • documentation (3)

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Detailed Description

Quant-Wiki is a collaborative knowledge repository focused on quantitative finance and trading education.

The project addresses the information gap between domestic and international quantitative finance industries by open-sourcing and translating quantitative knowledge. Its approach centers on building a shared wiki-style resource that makes quantitative finance concepts, strategies, and practices accessible across language barriers, particularly between Chinese and English-speaking communities in the quantitative trading space.

The tool suits developers, traders, and researchers who need accessible reference material on quantitative finance topics and want to contribute to or benefit from a community-driven knowledge base. It is particularly valuable for those working in or learning about quantitative trading who face language barriers or seek consolidated educational resources. This is a reference and educational resource rather than a software library or trading platform, so adoption depends on whether your team needs a shared knowledge base for quantitative finance concepts rather than a tool that performs computational or trading functions.

The project shows active community engagement with contributions focused on expanding and refining the knowledge base. Development activity centers on adding new content and improving existing documentation to serve the quantitative finance community. The project maintains an organized structure for knowledge contribution and curation, indicating sustained effort toward its goal of bridging information gaps in the quantitative finance industry.