akshare

Name: akshare
Author: succ985

Real-time and historical financial data for Chinese and Asian markets via AkShare library. Covers A-shares, Hong Kong stocks, US stocks, futures, funds, and macroeconomic indicators with real-time quotes and historical daily/weekly/monthly data Supports multiple adjustment modes (forward, backward, or unadjusted) and returns pandas DataFrames for easy processing Includes macroeconomic data such as GDP, CPI, and PMI for market analysis Requires implementing custom caching and retry logic due to lack of built-in caching and potential rate limiting

INSTALLATION

npx skills add https://github.com/succ985/openclaw-akshare-skill --skill akshare

Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$29

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