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china-market-data

Standardize Chinese market financial data access with prioritized sources and Python templates.

31|4|Updated Jun 13, 2026
Search Tags:#investment research#a-shares#data standardization#hong kong stocks#chinese market data#financial data access#financial terminology
One-click install
npx skills add https://github.com/r9412460971-cloud/OPC-skill --skill china-market-data-r9412460971-cloud
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: china-market-data
Source: https://github.com/r9412460971-cloud/OPC-skill/tree/main/skills/china-market-data
Command: npx skills add https://github.com/r9412460971-cloud/OPC-skill --skill china-market-data-r9412460971-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill resolves the inconsistency in data sources, terminology translations, and code implementation for Chinese market (A-shares, Hong Kong stocks, Chinese ADRs) financial data across different analysis tools, eliminating redundant development work and data errors caused by non-standardized practices.

Core Features & Use Cases

  • Prioritized Data Source Directory: Provides a clear hierarchy of free, token-based, and paid data sources (AKShare, Tushare, Wind, etc.) for different data acquisition scenarios, reducing the cost of selecting appropriate data providers.
  • Domestic-Overseas Terminology Mapping: Offers a comprehensive translation table between common overseas financial terms and their Chinese market equivalents, avoiding misunderstandings caused by terminology differences in cross-market research.
  • Ready-to-Use Code Templates: Includes standardized Python code snippets for fetching market quotes, financial statements, valuation metrics, macroeconomic data and corporate disclosures, accelerating the development of analysis tools.
  • Use Case: When building an A-share equity analysis tool, you can directly use the provided templates to fetch standardized financial data without spending time researching API interfaces and term translations for different data sources.

Quick Start

Use the china-market-data skill to fetch the latest annual income statement for Kweichow Moutai (stock code 600519) using the provided standardized Python template.

Frequently Asked Questions about china-market-data

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

FAQPage Schema
How do I fetch standardized financial data for Chinese A-shares and Hong Kong stocks?▼

It offers a prioritized directory of zero-cost default sources like AKShare, token-based sources like Tushare, and paid enhanced sources like Wind, along with authoritative original disclosure channels for compliant data acquisition across different financial analysis scenarios.

How do I translate overseas financial terminology to Chinese market equivalents?▼

Yes, it includes standardized Python code snippets for fetching market quotes, financial statements, valuation metrics, macroeconomic data, and corporate disclosures, accelerating the development of analysis tools for all Chinese market investment research scenarios.

What is the best way to get zero-cost market quotes for Chinese market investment research?▼

It provides a prioritized data source hierarchy covering free, token-based, and paid data providers for different data acquisition scenarios, reducing the cost and effort of selecting appropriate data providers for Chinese market financial analysis.

Does this data access layer work with Python for fetching corporate disclosures?▼

It supports Python by offering ready-to-use code snippets that fetch standardized financial data for A-shares, Hong Kong stocks, and Chinese ADRs, eliminating redundant development work and data errors caused by non-standardized practices.

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