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

Data caching: AkShare doesn't cache data by default. Implement your own caching if needed
Rate limiting: Be mindful of request frequency to avoid being blocked
Data format: Returns pandas DataFrame, can be easily processed
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