OpenClaw AkShare Skill

Chinese financial data access using AkShare library for OpenClaw.

Overview

This skill provides easy access to Chinese financial market data through the AkShare library. It supports real-time and historical data for:

• A-shares (A股): Shanghai and Shenzhen stock exchanges
• Hong Kong stocks (港股): HKEX
• US stocks (美股): US market data
• Futures (期货): Commodity and index futures
• Funds (基金): Open-end and ETF funds
• Macroeconomic indicators (宏观): GDP, CPI, PMI, and more

Installation

Prerequisites

• Python 3.7+
• OpenClaw framework

Install AkShare

pip install akshare

Or use the provided installation script:

bash scripts/install_akshare.sh

Install the Skill

Copy this skill to your OpenClaw workspace:

cp -r openclaw-akshare-skill /path/to/openclaw/workspace/skills/akshare

Quick Start

Basic Stock Quote

import akshare as ak

# Get all A-shares real-time data
df = ak.stock_zh_a_spot_em()
print(df.head())

Historical Stock Data

# Get historical daily data for a specific stock
df = ak.stock_zh_a_hist(
    symbol="000001",
    period="daily",
    start_date="20240101",
    end_date="20241231",
    adjust="qfq"  # Forward adjustment
)
print(df.tail())

Features

Stock Data

• Real-time quotes: All A-shares, Hong Kong stocks, US stocks
• Historical data: Daily, weekly, monthly periods with price adjustment
• Stock list: Complete stock code and name information

Futures Data

• Commodity futures real-time data
• Historical futures data from major exchanges

Fund Data

• Open-end fund information
• Fund historical net value trends

Macroeconomic Indicators

• GDP, CPI, PPI, PMI
• Economic calendar and indicators

Common Parameters

Period (周期)

• daily - Daily (日线)
• weekly - Weekly (周线)
• monthly - Monthly (月线)

Price Adjustment (复权)

• qfq - Forward adjustment (前复权)
• hfq - Backward adjustment (后复权)
• "" - No adjustment (不复权)

Examples

See the scripts/ directory for more examples:

• example_usage.py - Common usage examples
• test_basic.py - Basic functionality tests
• test_quick.py - Quick start examples

Documentation

• SKILL.md - Complete skill documentation
• references/akshare_api.md - Detailed API reference
• references/common_functions.md - Commonly used functions
• Official AkShare Docs

Tips

1. Data caching: AkShare doesn't cache data by default. Implement your own caching if needed
2. Rate limiting: Be mindful of request frequency to avoid being blocked
3. Data format: Returns pandas DataFrame, can be easily processed
4. Error handling: Network errors may occur, implement retry logic

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Changelog

See CHANGELOG.md for version history.

Acknowledgments

• AkShare - The underlying Python library for Chinese financial data
• OpenClaw - The AI assistant framework

Support

For issues and questions:

• Open an issue on GitHub
• Check AkShare documentation
• Review the examples in the scripts/ directory