findata-toolkit-cn

Fetch live and historical A-share market data and macro indicators via AKShare.

271|41|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/Geeksfino/finskills --skill findata-toolkit-cn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: findata-toolkit-cn
Source: https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn
Command: npx skills add https://github.com/Geeksfino/finskills --skill findata-toolkit-cn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This tool enables analysts to fetch real-time and historical A-share market data and macro indicators without paid APIs, accelerating investment analysis and decision-making.

Core Features & Use Cases

  • Real-time stock data, fundamentals, and valuation metrics from AKShare for Chinese equities.
  • Macro indicators, PMI, credit metrics, and Northbound flow data for macro-driven screening and portfolio insights.
  • Use cases include screening candidates, tracking quarterly performance, and building dashboards for risk diagnostics.

Quick Start

Run python scripts/stock_data.py 600519 to fetch basic info and add --metrics to retrieve full financial metrics.

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 live A-share market data for financial analysis without an API key?

You can fetch live A-share market data by running Python scripts that utilize AKShare, pandas, and numpy, retrieving real-time stock prices and fundamentals without needing an API key.

What macro indicators can I retrieve for Chinese equities using AKShare?

Using AKShare, you can retrieve macro indicators including PMI, credit metrics, Northbound capital flows, and macro metrics for macro-driven screening and portfolio insights across Chinese markets.

Can I use pandas and numpy to process historical stock data fetched from AKShare?

Yes, the toolkit relies on Python libraries including AKShare, pandas, and numpy to fetch and process historical stock price data and fundamentals, outputting JSON suitable for pipeline integration.

Does this toolkit support screening Chinese stock fundamentals and tracking quarterly performance?

Yes, the toolkit supports screening candidates by stock fundamentals and valuation metrics, tracking quarterly performance, and building dashboards for risk diagnostics using no-key data sources.

What is the best way to get valuation metrics and basic info for a specific stock like 600519?

Run python scripts/stock_data.py followed by the stock code to fetch basic info, or add the --metrics flag to retrieve full financial metrics and valuation data for Chinese equities.

How does the toolkit format financial data for AI-driven pipeline integration?

The toolkit processes live and historical market data and macro indicators using AKShare, pandas, and numpy, outputting structured JSON data suitable for AI-driven financial analysis and pipeline integration.