findata-toolkit-cn

Fetch and consolidate China A-share market data via AKShare.

20|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/yuping322/finskills --skill findata-toolkit-cn-yuping322
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: findata-toolkit-cn
Source: https://github.com/yuping322/finskills/tree/main/China-market/findata-toolkit-cn
Command: npx skills add https://github.com/yuping322/finskills --skill findata-toolkit-cn-yuping322

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires akshare, pandas, numpy, tabulate, and includes scripts (resource) components.

What problem does it solve?

A self-contained toolkit that eliminates fragmented data gathering by providing scripts to fetch real-time A-share prices, fundamentals, macro indicators, insider transactions, and northbound flows via AKShare, without requiring API keys.

Core Features & Use Cases

  • Real-time and historical data retrieval for A 股 using AKShare
  • Macro indicators and dashboard-style insights for macro analysis
  • Insider trading data and northbound capital flow tracking
  • Local caching, data normalization, and ready-to-use outputs for analytics
  • Use Case: a research analyst pulls stock fundamentals, price history, and macro signals to assess portfolio risk

Quick Start

Install dependencies and run the included Python scripts to fetch A-share data

Frequently Asked Questions about findata-toolkit-cn

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch real-time A-share prices and macro financial data without an API key?

Fetch A-share real-time prices and macro data without an API key by running the included Python scripts powered by AKShare. The toolkit retrieves stock quotes, macro indicators, and northbound capital flows directly without external authentication.

What financial datasets can I retrieve for China A-share market analysis?

For China A-share market analysis, you can retrieve real-time quotes, historical prices, macro indicators, insider transactions, and northbound capital flows. These datasets are consolidated and normalized for ready-to-use analytics.

Does the AKShare data toolkit support local caching for fetched financial data?

Yes, the AKShare data toolkit supports local caching for fetched financial data. It stores retrieved A-share prices and macro indicators locally, reducing redundant network requests during repeated analytical queries.

Can I use pandas and numpy to process the A-share data fetched by these scripts?

Yes, you can use pandas and numpy to process the fetched A-share data. The toolkit outputs standardized data envelopes compatible with pandas DataFrames, enabling immediate data manipulation and numerical analysis.

What's the best way to track northbound capital flows and insider trading for A-shares?

The best way to track northbound capital flows and insider trading for A-shares is using dedicated AKShare scripts. The toolkit consolidates international capital flow data and insider activity logs into normalized outputs for risk assessment.

Are there limitations when fetching macro indicators and historical A-share data via AKShare?

Limitations when fetching macro indicators and historical A-share data via AKShare include dependency on upstream data source availability and potential rate limits. The local caching feature helps mitigate repeated request blocks.