Fetch real-time and historical Chinese financial data via AkShare with caching.
npx skills add https://github.com/succ985/openclaw-akshare-skill --skill akshare-succ985
Please help me install this Agent Skill. Skill: akshare Source: https://github.com/succ985/openclaw-akshare-skill/tree/main Command: npx skills add https://github.com/succ985/openclaw-akshare-skill --skill akshare-succ985
Enables programmatic access to real-time and historical Chinese financial data from A-shares, HK stocks, US stocks, futures, funds, and macro indicators, empowering automated analytics and reporting within OpenClaw.
Install AkShare and run a sample to fetch real-time stock quotes.
High-intent search queries and answers about installing and using this skill.
You can retrieve real-time and historical Chinese financial data programmatically by using this skill to access A-shares, HK stocks, US stocks, futures, and funds via a cached data retrieval pipeline with retry logic.
Yes, you can automate daily market snapshot generation by utilizing the skill's subcommands and CLI, fetching real-time quotes and historical data to feed insights directly into your automated workflows.
The skill supports retrieving macroeconomic indicators and fund data, alongside index data for market overview, enabling comprehensive financial analytics across multiple asset classes.
The best way to cache financial data locally is by using the skill's Parquet storage format, which efficiently stores retrieved market data within a cached pipeline designed for automated analytics.
Yes, you need pandas and pyarrow installed as dependencies, as the skill relies on them to structure the retrieved historical market data and manage the Parquet cache storage.
The data retrieval pipeline includes retry logic to handle transient network failures when fetching real-time market quotes, ensuring reliable data access for A-shares and other financial instruments.
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