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tushare-data

Translate natural-language financial requests into executable Tushare data workflows.

306|35|Updated Nov 1, 2020
Search Tags:#research#nlp#export#financial-data#tushare#data-workflow
One-click install
npx skills add https://github.com/zillionare/zillionare --skill tushare-data-zillionare
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tushare-data
Source: https://github.com/zillionare/zillionare/tree/main/.github/skills/tushare-data
Command: npx skills add https://github.com/zillionare/zillionare --skill tushare-data-zillionare

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。

Core Features & Use Cases

  • 把自然语言财经数据请求转成可执行的数据工作流，覆盖数据获取、清洗、对比、筛选、导出与简要分析。
  • 支持查询股票、指数、ETF/基金、资金流、公告新闻、宏观数据等多维场景，并输出研究级摘要。
  • 生成就地可用的研究结果和可导出的CSV/Parquet等格式，便于后续分析。

Quick Start

导出沪深300最近两年的日线数据为 CSV。

Frequently Asked Questions about tushare-data

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

FAQPage Schema
How do I use natural language to query Chinese stock financial data with Tushare?▼

Natural language financial data requests are translated into executable Tushare workflows covering data retrieval, cleaning, comparison, and export. You can query stocks, indices, ETFs, and macro data by simply describing your research intent in Chinese.

Can I export Tushare stock data to CSV for further analysis?▼

Yes, Tushare stock data can be exported to CSV or Parquet formats. The workflow generates locally available research results and downloadable files, enabling seamless subsequent analysis using pandas.

What financial data types are supported for natural language retrieval in A-share markets?▼

Supported A-share data types include stocks, indices, ETFs, funds, macro data, capital flows, announcements, and fundamental financials. The workflow retrieves and cleans this data to produce research-level summaries and trend checks.

Do I need a Tushare API token to retrieve financial data through natural language requests?▼

Yes, a Tushare API token is required. The workflow includes credential handling and basic environment checks to authenticate requests before selecting interfaces and retrieving financial data for your research analysis.

What is the best way to compare financial trends of multiple stocks using Tushare?▼

The best way is using the structured Tushare workflow which handles interface selection, data retrieval, cleaning, and comparison. It translates your natural language comparison requests into concise financial trend analyses and summaries.

Why does my Tushare data workflow fail during environment checks?▼

Tushare data workflows may fail during environment checks if dependencies like tushare and pandas are not properly installed or if the API credential handling is incorrect. Ensure your environment meets these basic requirements before execution.

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