Retrieve real-time quotes and historical time series via the akshare Python API.
npx skills add https://github.com/Jaykaijack/openclaw-backup --skill akshare-jaykaijack
Please help me install this Agent Skill. Skill: akshare Source: https://github.com/Jaykaijack/openclaw-backup/tree/main/skills/akshare Command: npx skills add https://github.com/Jaykaijack/openclaw-backup --skill akshare-jaykaijack
Provide easy programmatic access to comprehensive financial market and macroeconomic data without manual scraping or paid API registration, reducing time spent on data collection for analysis and reporting.
Fetch A-share daily historical data for symbol 000001 from 20240101 to 20241231 and return it as CSV.
High-intent search queries and answers about installing and using this skill.
You can retrieve historical A-share stock data using Python by applying the akshare API with pandas to fetch daily prices for a given symbol over a date range and export the result as CSV for analytics.
Yes, you can retrieve real-time quotes for US and Hong Kong equities without API registration by using the akshare Python package to programmatically access financial market data directly.
Yes, akshare supports fetching macroeconomic indicators and futures data. It provides programmatic access to comprehensive macro data and futures datasets for analytics, trading research, and reporting workflows.
The best way to download financial data for portfolio analytics is using Python with pandas to retrieve historical time series for equities or funds, compute returns, and export the result as CSV.
Yes, you need to install pandas to use akshare for market data retrieval. The Skill depends on both the akshare and pandas packages to fetch and structure financial market data for analytics workflows.
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