Can I retrieve adjusted stock prices for historical analysis?

Yes, the skill supports both pre-adjustment (qfq) and post-adjustment (hfq) for all historical K-line queries.

What data formats are supported for exports?

The skill can output data in both CSV and JSON formats, making it easy to pipe into other tools or display in the terminal.

Does it support high-frequency intraday data?

Yes, it provides minute-level data at intervals of 1, 5, 15, 30, and 60 minutes for detailed technical analysis.

Which data sources does this skill use?

It primarily uses EastMoney (EM) as the default source and Sina Finance as an alternative, with corporate announcements sourced directly from Cninfo.

China A-Share Market Data (AkShare)

Name: China A-Share Market Data (AkShare)
Author: Yrzhe

byYrzhe

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Data Science & ML

Provides comprehensive China A-share financial data including real-time quotes, historical K-lines, and corporate announcements via the AkShare library.

This Claude Code skill integrates the AkShare library to provide deep access to China's A-share stock market data. It enables developers and analysts to query real-time market snapshots, retrieve historical candlestick data with various adjustment types (pre/post-adjustment), and access detailed shareholder information or official corporate disclosures from Cninfo. By mapping specific intents to optimized data endpoints from providers like EastMoney and Sina, it streamlines financial data extraction into structured CSV or JSON formats for analysis directly within the development workflow.

Key Features

01Flexible data output in CSV or JSON formats via built-in Python script integration.

02Access to corporate governance data like shareholder counts and official disclosure reports from Cninfo.

039 GitHub stars

04Real-time and historical market data retrieval for Shanghai and Shenzhen stock exchanges.

05Supports multiple timeframes including daily, weekly, monthly, and minute-level (1/5/15/30/60) intervals.

06Automated dividend adjustment options including None, Pre-adjustment (QFQ), and Post-adjustment (HFQ).

Use Cases

01Automating the collection of corporate announcements and shareholder changes for research.

02Monitoring real-time stock performance and market trends directly from the CLI.

03Building financial analysis dashboards or backtesting trading strategies with historical data.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yrzhe/claude-skills akshare-a-shares

For use in Claude.ai and ChatGPT

Download Skill