tushare

Translate Chinese finance prompts into executable Tushare data workflows.

429|59|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/waditu-tushare/skills --skill tushare-waditu-tushare
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tushare
Source: https://github.com/waditu-tushare/skills/tree/main/tushare
Command: npx skills add https://github.com/waditu-tushare/skills --skill tushare-waditu-tushare

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tushare, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Chinese-language natural-language requests for finance data often require manual translation into API calls and data pipelines. This skill automates that translation and orchestrates data retrieval, cleaning, comparison, export, and basic analysis using Tushare.

Core Features & Use Cases

  • Natural-language interface: turn Chinese prompts into data workflows to fetch stocks, indices, funds, and macro data.
  • End-to-end data handling: retrieve, clean, compare, filter, and export data (CSV/parquet) for research or backtesting.
  • Research-ready outputs: generate concise summaries and ready-to-analyze datasets for further analysis.

Quick Start

Describe a natural-language request to generate an executable Tushare workflow, such as exporting the latest 30 days of stock daily data.

Frequently Asked Questions about tushare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get stock market data using natural language instead of writing API calls?

To get stock market data, you can use natural language prompts to automatically generate executable Tushare workflows, translating Chinese financial requests into API calls to retrieve and clean stock trends, fundamentals, and macro data.

Can I export Tushare financial data to CSV for backtesting?

Yes, you can export Tushare financial data to CSV. The skill handles end-to-end data processing, allowing you to retrieve, clean, filter, and export datasets into CSV or parquet formats ready for research and backtesting.

What Python environment is required to run Tushare data retrieval workflows?

Running Tushare data retrieval workflows requires Python 3.7 or higher. You must also install the tushare and pandas libraries, and configure a valid TUSHARE_TOKEN environment variable to authenticate API requests.

How do I analyze Chinese macro data and fund-level data without manual query translation?

You can analyze Chinese macro data and fund-level data by providing Chinese natural language prompts. The system translates these prompts into automated pipelines that fetch, clean, and summarize financial data without manual API query translation.

Does this tool support segmented data retrieval for large volumes of stock daily data?

Yes, the tool supports segmented data retrieval for large volumes of stock daily data. It applies input normalization and robust error handling to manage large data requests deterministically, ensuring reliable script execution.