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simonlin1212AI-powered data integration for China A-shares
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This project provides a comprehensive, full-stack data toolkit for China A-Share market data, designed to be directly usable by AI coding assistants. It addresses the complexity of accessing and integrating data from multiple disparate sources by offering a unified interface, simplifying investment research workflows for AI-powered analysis. The target audience includes AI developers, quantitative researchers, and power users focused on the Chinese stock market.
How It Works
The toolkit employs a 6-layer architecture, consolidating data from 8 distinct sources including mootdx, Tencent Finance, Eastmoney, akshare, iwencai, cninfo, THS, and Baidu. It is packaged as a "Skill file" – a combination of structured Markdown and embedded Python – designed for seamless integration with AI programming assistants like Claude Code, Codex, and OpenClaw. This approach abstracts the intricate details of individual APIs, such as authentication, request headers, and parameterization, presenting a clean, callable interface for data retrieval.
Quick Start & Requirements
pip install mootdx akshare requests pandas stockstatsmootdx requires a domestic IP for stability; iwencai requires an API key.SKILL.md download: https://raw.githubusercontent.com/simonlin1212/a-stock-data/main/SKILL.md; iwencai API key application: https://www.iwencai.com/skillhub.Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
mootdx requires a domestic IP for stability; overseas users may encounter timeouts or require workarounds. Some data sources, like akshare's Eastmoney backend, may exhibit anti-scraping measures necessitating retry logic. The iwencai semantic search feature is gated behind an API key. The project explicitly states it provides data access tools only and does not offer investment advice.
3 days ago
Inactive
OpenBB-finance