akshare
提供AkShare库的指导,用于访问和获取中国金融市场数据,是一个免费开源的Python库,支持金融数据分析。
npx skills add succ985/openclaw-akshare-skill --skill akshareBefore / After 效果对比
1 组获取中国金融市场数据通常需要付费接口或复杂的数据爬取,数据来源分散且格式不统一。这给金融数据分析带来了巨大障碍,耗费大量时间和精力进行数据清洗和整合。
AkShare库提供免费开源的Python接口,极大简化了中国金融市场数据的获取。它统一了数据来源和格式,让金融数据分析变得高效便捷,助力研究人员和开发者快速洞察市场。
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
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