akshare
Chinese financial data access using AkShare library. Fetch real-time and historical data for A-shares, Hong Kong stocks, US stocks, futures, funds, and macroeconomic indicators. Use when user requests Chinese market data, stock prices, market analysis, or financial information from Chinese exchanges. Supports stock quotes, historical data, futures market data, fund information, macroeconomic indicators, and real-time market updates.
How do I install this agent skill?
npx skills add https://github.com/succ985/openclaw-akshare-skill --skill akshareIs this agent skill safe to install?
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The OpenClaw AkShare Skill provides access to Chinese financial data via the AkShare library. It features robust caching and error handling. No security issues were detected.
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No alerts
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Risk: LOW · No issues
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What does this agent skill do?
AkShare - Chinese Financial Data
Overview
AkShare is a free, open-source Python library for accessing Chinese financial market data. This skill provides guidance for fetching data from Chinese exchanges including Shanghai Stock Exchange, Shenzhen Stock Exchange, Hong Kong Exchange, and more.
Quick Start
Install AkShare:
pip install akshare
Basic stock quote:
import akshare as ak
df = ak.stock_zh_a_spot_em() # Real-time A-share data
Stock Data
A-Shares (A股)
Real-time quotes:
# All A-shares real-time data
df = ak.stock_zh_a_spot_em()
# Single stock real-time quote
df = ak.stock_zh_a_spot()
Historical data:
# Historical daily data
df = ak.stock_zh_a_hist(symbol="000001", period="daily", start_date="20240101", end_date="20241231", adjust="qfq")
Stock list:
# Get all A-share stock list
df = ak.stock_info_a_code_name()
Hong Kong Stocks (港股)
Real-time quotes:
df = ak.stock_hk_spot_em()
Historical data:
df = ak.stock_hk_hist(symbol="00700", period="daily", adjust="qfq")
US Stocks (美股)
Real-time data:
df = ak.stock_us_spot_em()
Futures Data (期货)
Real-time futures:
# Commodity futures
df = ak.futures_zh_spot()
Historical futures:
df = ak.futures_zh_hist_sina(symbol="IF0")
Fund Data (基金)
Fund list:
df = ak.fund_open_fund_info_em()
Fund historical data:
df = ak.fund_open_fund_info_em(fund="000001", indicator="单位净值走势")
Macroeconomic Indicators (宏观)
GDP data:
df = ak.macro_china_gdp()
CPI data:
df = ak.macro_china_cpi()
PMI data:
df = ak.macro_china_pmi()
Common Parameters
Period (周期):
daily- 日线weekly- 周线monthly- 月线
Adjustment (复权):
qfq- 前复权hfq- 后复权""- 不复权
Tips
- Data caching: AkShare doesn't cache data, 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
References
For complete API documentation and advanced usage, see:
- references/akshare_api.md - Detailed API reference
- references/common_functions.md - Commonly used functions
- https://akshare.akfamily.xyz/ - Official documentation
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/succ985/openclaw-akshare-skill/akshare">View akshare on skillZs</a>