akshare
Provides guidance on the AkShare library for accessing and retrieving Chinese financial market data, a free and open-source Python library supporting financial data analysis.
npx skills add succ985/openclaw-akshare-skill --skill akshareBefore / After Comparison
1 组Accessing Chinese financial market data typically requires paid APIs or complex data scraping. Data sources are fragmented and formats are inconsistent. This creates significant obstacles for financial data analysis, consuming a lot of time and effort for data cleaning and integration.
The AkShare library provides a free and open-source Python interface, greatly simplifying the acquisition of Chinese financial market data. It unifies data sources and formats, making financial data analysis efficient and convenient, helping researchers and developers quickly gain market insights.
description SKILL.md
akshare
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
Weekly Installs437Repositorysucc985/opencla…re-skillGitHub Stars4First SeenFeb 28, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled ongemini-cli435amp435github-copilot435codex435kimi-cli435opencode435
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