Akshare Finance

AKShare财经数据接口库封装，提供股票、期货、期权、基金、外汇、债券、指数、加密货币等金融产品的基本面数据、实时和历史行情数据、衍生数据。

Security Scan

The skill is a straightforward wrapper around the AKShare Python library to fetch financial and macro data; its requirements and instructions align with that purpose and request no unrelated credentials or suspicious installs.

Purpose & Capability

Name/description (AKShare财经数据) match the included scripts and SKILL.md examples. The skill only requires akshare and pandas, which are exactly what a data-fetching wrapper would need.

Instruction Scope

SKILL.md and the three scripts only call AKShare APIs, process DataFrames, print or save CSVs. There are no instructions to read unrelated system files, access secrets, or transmit data to external endpoints other than those AKShare uses to fetch public financial data.

Install Mechanism

No download/install spec beyond pip package requirements (akshare, pandas). Using pip is expected for a Python wrapper; installing packages runs arbitrary code from PyPI so users should verify package provenance and pin versions if necessary.

Credentials

The skill declares no required environment variables, credentials, or config paths. That is proportionate for a read-only data retrieval wrapper.

Persistence & Privilege

always is false and the skill does not request elevated or persistent platform privileges. It does not modify other skills or system-wide settings.

Assessment

This skill appears to be a legitimate AKShare wrapper. Before installing: (1) verify you trust the akshare package/version on PyPI (consider pinning a known-good version), (2) run installs in an isolated environment (virtualenv/container) because pip packages execute installation code, (3) be aware AKShare fetches data from public web sources so network access is required, and (4) there are no requests for secrets or cloud credentials — if you see prompts for tokens later, treat that as suspicious.

AKShare财经数据技能

快速开始

# 安装依赖
pip install akshare pandas

# 测试安装
python -c "import akshare; print(akshare.__version__)"

核心功能

1. 股票行情

import akshare as ak

# A股实时行情
stock_zh_a_spot_em()  # 东方财富A股

# 股票K线数据
stock_zh_kline(symbol="000001", period="daily", adjust="qfq")

# 港股行情
stock_hk_spot_em()  # 港股实时

# 美股
stock_us_spot()  # 美股实时

2. 宏观经济

# GDP数据
macro_china_gdp()  # 中国GDP

# CPI通胀
macro_china_cpi()  # 中国CPI

# PMI采购经理指数
macro_china_pmi()  # 中国PMI

# 货币供应量
macro_china_m2()  # M2广义货币

3. 加密货币

# 币种列表
crypto_binance_symbols()  # 币安交易对

# 实时价格
crypto_binance_btc_usdt_spot()  # BTC/USDT

# K线数据
crypto_binance_btc_usdt_kline(period="daily")

4. 外汇贵金属

# 外汇汇率
forex_usd_cny()  # 美元兑人民币

# 贵金属
metals_shibor()  # 上海银行间拆借利率

# 金银价格
metals_gold()  # 国际金价

5. 财务数据

# 股票基本面
stock_fundamental(symbol="000001")  # 基本面数据

# 估值指标
stock_valuation(symbol="000001")  # PE、PB等

# 盈利能力
stock_profit_em(symbol="000001")

常用组合

投资组合监控

import akshare as ak
import pandas as pd

# 监控自选股
tickers = ["000001", "000002", "600519"]
for ticker in tickers:
    df = ak.stock_zh_kline(symbol=ticker, period="daily", adjust="qfq", start_date="20240101")
    latest = df.iloc[-1]
    print(f"{ticker}: 收盘价={latest['close']}, 涨跌幅={latest['pct_chg']}%")

市场概览

# A股大盘
index_zh_a_spot()  # 大盘指数

# 涨跌幅排行
stock_zh_a_spot_em()[['代码', '名称', '涨跌幅']].sort_values('涨跌幅', ascending=False)

注意事项

1. 数据来源: 公开财经网站，仅用于学术研究
2. 商业风险: 投资有风险，决策需谨慎
3. 更新频率: 实时数据可能有延迟
4. 数据验证: 建议多数据源交叉验证

输出格式

默认返回Pandas DataFrame，可直接处理：

df = ak.stock_zh_a_spot_em()
print(df.head())  # 查看前5行
print(df.columns)  # 查看列名
df.to_csv("data.csv")  # 保存CSV

参考文档

• AKShare文档: https://akshare.akfamily.xyz/
• GitHub: https://github.com/akfamily/akshare