tushare - Research financial data with Tushare
Turns natural-language financial research requests into Tushare data retrieval, cleaning, comparison, filtering, export, and concise analysis workflows.
Tags
Updated: 2026-10-03Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Retrieve market data
- Analyze financial trends
- Compare multiple securities
- Screen and rank securities
- Track capital flows
- Analyze sectors and themes
- Summarize announcements and news
- Analyze macroeconomic data
- Export CSV or Parquet
- Validate and clean datasets
Inputs
- Natural-language research request
- Security names or codes
- Date range
- Data frequency
- Requested fields
- Tushare Token
Outputs
- Research summary
- Comparison tables
- Ranked screening results
- Cleaned datasets
- CSV files
- Parquet files
- Python scripts
- File paths
- Data quality notes
Requirements
- Python 3.7 or later
- tushare package
- Network access
- Applicable Tushare permissions
- TUSHARE_TOKEN environment variable when required