Fetch historical OHLCV data for A-share and ETF markets.
npx skills add https://github.com/YFOOOO/financial_agent --skill financial-data-fetch
Please help me install this Agent Skill. Skill: financial-data-fetch Source: https://github.com/YFOOOO/financial_agent/tree/main/skills/financial-data-fetch Command: npx skills add https://github.com/YFOOOO/financial_agent --skill financial-data-fetch
This Skill provides a unified interface to fetch China's A股 and ETF market data. It streamlines access to OHLCV for stocks and NAV/成交数据 for ETFs, reducing manual data gathering time and ensuring consistent data formats for analysis.
Fetch 60 days of data for symbol '000001' (A 股) using fetch_stock_data.
High-intent search queries and answers about installing and using this skill.
This Skill fetches historical OHLCV data for A-share stocks using a 6-digit symbol and a days parameter (1–365). Pass your stock symbol and desired lookback period to retrieve a standardized pandas DataFrame with open, high, low, close, and volume fields for backtesting and analysis.
Yes. The Skill retrieves historical ETF data including NAV and trading volume within your specified date window. It validates 6-digit ETF symbols and the days parameter, then routes to the appropriate fetch tool and returns consistent DataFrame format.
The Skill validates that symbols are 6-digit numeric values and that the days parameter falls between 1 and 365. Invalid inputs are rejected before routing to the data fetch tool, ensuring reliable retrieval and preventing malformed queries.
Call the Skill with your symbol list and desired days parameter; it handles routing to the correct data source (stock or ETF) and returns standardized DataFrames. Wrap multiple calls in a loop or automation script to refresh data consistently across your portfolio.
Yes. The Skill uses AKShare as its underlying dependency to access China's A-share and ETF market data. It abstracts the library's complexity into a unified interface that handles symbol validation and routes queries to the appropriate data fetch function.
The Skill returns a standardized pandas DataFrame with OHLCV and volume columns, formatted for immediate use in backtesting frameworks. The consistent structure across stock and ETF queries eliminates manual data alignment work.
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