simonlin1212/a-stock-data is a skill file that consolidates 15 data sources for China A-share financial data into a single Markdown toolset for AI coding assistants. It requires zero authentication for most endpoints and can be used with AI assistants such as Claude Code, Codex, and OpenClaw.
Project overview
By packaging endpoints, documentation, and Python code into one Markdown file designed for context injection, it eliminates the need to memorize API parameters or manage authentication across fragmented A-share data sources.
Project type
AI Agent · AI Coding
Use cases
Coding & Development
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Developers and data teams who need A-share financial data delivered through AI coding assistants without managing multiple API authentications.
Users who interact with financial data through library-based tooling and prefer natural language or ticker-based queries.
Key capabilities
Distributes all endpoints, documentation, and Python code in a single Markdown file designed for context injection.
Provides K-lines, order book, PE/PB, and real-time quotes for A-shares, indices, and ETFs.
Integrates stock/industry research reports, NL search, and technical signals including strong stocks, themes, and northbound capital.
Tracks limit-up/down pools, explosive orders, and exchange-based intraday anomalies.
Includes official exchange backup functions and independent sources to prevent outages when primary APIs are blocked.
Limitations and risks
Requires a domestic China IP for mootdx TCP connectivity; overseas servers may timeout.
Primary HTTP APIs may block IPs, requiring rate limiting or fallback sources.
Getting started
Setup is rated easy and takes three steps: create a skill directory, place the SKILL.md file inside it, and install pip dependencies.