Retrieve Tushare financial datasets via Python API calls with token authentication.
npx skills add https://github.com/HKUDS/Vibe-Trading --skill tushare-hkuds
Please help me install this Agent Skill. Skill: tushare Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/tushare Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill tushare-hkuds
This skill centralizes Tushare adoption by describing how to authenticate, query, and interpret the vast set of Chinese market datasets so analysts no longer need to read disparate docs or experiment blindly with the API.
Request the Tushare skill to retrieve ETF daily data for a specific date range using your configured token.
High-intent search queries and answers about installing and using this skill.
You retrieve Chinese market stock data by authenticating with a Tushare token and making parameterized Python API calls for specific TS codes and date ranges. The skill provides scripted examples and reference tables to fetch equities, daily bars, and other datasets.
Tushare integration supports querying equities, ETFs, bonds, futures, and macroeconomic datasets. Reference tables catalog major interfaces with input and output specifications, enabling precise queries for Chinese market data.
Yes, a Tushare token is required to fetch ETF daily bars and fund NAVs. Token configuration for pro_api ensures credentials are set once and reused securely for all subsequent data requests.
Fetching historical futures data via Tushare requires parameterized API calls that specify date ranges and handle pagination. The skill outlines how to structure these queries to retrieve complete datasets without missing records.
Yes, pandas is a core dependency for using Tushare data in trading bot research workflows. Scripted examples demonstrate how to fetch and structure stock lists and fund data for embedding into analysis notebooks.
The best way to configure Tushare API credentials is through pro_api token configuration. This approach sets sensitive credentials once and securely reuses them for all automated market data requests.
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