Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.
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AKShare financial data aggregator (18k+ stars). Free, no API key. Covers A-shares, US, HK, futures, macro, forex. Primary fallback for tushare and yfinance.
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AKShare is a completely free, open-source Python financial data library. No registration or API key required. It aggregates data from public sources (Sina, East Money, etc.) covering Chinese and global markets.
pip install akshareimport akshare as ak
# A-share daily OHLCV (前复权)
df = ak.stock_zh_a_hist(symbol="000001", period="daily",
start_date="20240101", end_date="20260101", adjust="qfq")
# US stock daily
df = ak.stock_us_hist(symbol="105.AAPL", period="daily",
start_date="20240101", end_date="20260101", adjust="qfq")
# HK stock daily
df = ak.stock_hk_hist(symbol="00700", period="daily",
start_date="20240101", end_date="20260101", adjust="qfq")
| Function | Description | Key Params |
|---|---|---|
stock_zh_a_hist() | A-share OHLCV | symbol, period, start_date, end_date, adjust |
stock_zh_a_spot_em() | Real-time A-share quotes | (none) |
stock_individual_info_em() | Stock basic info | symbol |
stock_zh_a_hist_min_em() | Intraday bars | symbol, period(1/5/15/30/60) |
| Function | Description | Key Params |
|---|---|---|
stock_us_hist() | US stock OHLCV | symbol (e.g. "105.AAPL"), period, start_date, end_date |
stock_hk_hist() | HK stock OHLCV | symbol (e.g. "00700"), period, start_date, end_date |
| Function | Description |
|---|---|
macro_china_gdp() | China GDP data |
macro_china_cpi() | China CPI data |
futures_main_sina() | Futures main contract quotes |
currency_boc_sina() | BOC forex rates |
AKShare returns Chinese column names by default:
| Chinese | English | Description |
|---|---|---|
| 日期 | date | Trade date |
| 开盘 | open | Open price |
| 最高 | high | High price |
| 最低 | low | Low price |
| 收盘 | close | Close price |
| 成交量 | volume | Volume |
| 成交额 | amount | Turnover |
| 涨跌幅 | pct_change | % change |
| 换手率 | turnover_rate | Turnover rate |
YYYYMMDD string (e.g. "20240101")日期 column as string, convert with pd.to_datetime()"000001" (no .SZ suffix)"105.AAPL" (NASDAQ prefix 105), "106.BABA" (NYSE prefix 106)"00700" (5-digit zero-padded)The project has a built-in AKShare DataLoader at backtest/loaders/akshare_loader.py. When backtesting, the runner automatically falls back to AKShare when tushare/yfinance are unavailable.
For less common interfaces, see the references/ subdirectory or the official docs at https://akshare.akfamily.xyz/
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Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.
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Explore bundled libraries of investment factors, signals used to compare securities, and inspect individual formulas and metadata. Evaluate a factor or an entire library across a chosen universe and period, producing aggregate performance statistics and an HTML report.
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Assess whether a Chinese A-share company may receive ST or *ST risk warnings next financial year. Review financial forecasts, dividends, audit opinions, and regulatory penalties, then report risk severity separately from confidence in the prediction.
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Plan portfolio allocations across assets using risk, correlations, return forecasts, and trading costs. Compare five optimization methods, produce settings for config.json, and define rebalancing rules that adjust holdings back toward their target weights.
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Diagnose failed or abnormal backtests, which test trading strategies on historical data. Inspect result files, strategy code, and configuration to identify bugs, make targeted repairs, rerun tests, and verify the updated metrics.
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Use investor psychology to examine trading signals and risk controls, especially in China A-shares. The skill provides sentiment measures, checklists for biased decisions, and frameworks for assessing momentum, which follows trends, and reversal strategies.
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