akshare▌
succ985/openclaw-akshare-skill · updated Apr 8, 2026
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
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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★43 reviews- ★★★★★Pratham Ware· Dec 28, 2024
Useful defaults in akshare — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mei Yang· Dec 28, 2024
Solid pick for teams standardizing on skills: akshare is focused, and the summary matches what you get after install.
- ★★★★★Emma Sanchez· Dec 24, 2024
I recommend akshare for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hassan Thompson· Dec 12, 2024
We added akshare from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara Malhotra· Nov 23, 2024
akshare reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yash Thakker· Nov 19, 2024
akshare is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Zara Brown· Nov 19, 2024
We added akshare from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Emma Desai· Nov 15, 2024
Keeps context tight: akshare is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Farah· Nov 3, 2024
Solid pick for teams standardizing on skills: akshare is focused, and the summary matches what you get after install.
- ★★★★★Diya Brown· Oct 22, 2024
akshare has been reliable in day-to-day use. Documentation quality is above average for community skills.
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