tushare
0Tushare provides a comprehensive financial data API with over 400 endpoints covering various assets including stocks and macroeconomic indicators. It's designed for users needing access to detailed market data and analytics.
424580Updated Yesterday
Finance
Quick InstallView Source
$ npx skills add https://github.com/waditu-tushare/skills --skill tushareOverview
About This Skill
Tushare is a financial data research skill that translates conversational Chinese requests into structured queries across 400+ market data endpoints. It handles stock trends, company financials, valuation metrics, fund flows, sector rotation, announcements, and macroeconomic data for A-shares, indices, ETFs, and funds. The skill interprets time ranges, market context, and comparison requests from natural language, then retrieves, cleans, and synthesizes results into clear summaries rather than raw tables. It's built for researchers, traders, and analysts who need quick access to Chinese market data without learning API syntax. Requires Python 3.7+, the tushare package, and a free Tushare token from tushare.pro.
How to Use
Install using `$ npx skills add https://github.com/waditu-tushare/skills --skill tushare`
Use Cases
Analyze recent trends of a particular stock or index
Research company fundamentals and financial trends
Perform comparative analysis of multiple assets
Monitor capital flows and macroeconomic data
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/waditu-tushare/skills --skill tushareAlternative Install (Git Clone)
git clone https://github.com/waditu-tushare/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Extract and analyze [FINANCIAL_DATA_TYPE] from Tushare for [COMPANY] in the [INDUSTRY] sector. Focus on [SPECIFIC_METRICS] such as [LIST_METRICS]. Compare these metrics with [COMPARISON_COMPANY_OR_INDEX] over the last [TIME_PERIOD]. Return the data in a structured format with key insights.
Example Output
# Financial Analysis for Tesla Inc. (TSLA) in the Automotive Industry ## Key Metrics (2023) ### Stock Performance - **Closing Price (Dec 29, 2023):** $245.67 - **52-Week High:** $299.29 (July 19, 2023) - **52-Week Low:** $138.80 (January 6, 2023) - **Year-to-Date Return:** +76.9% ### Financial Health - **Revenue (Q3 2023):** $23.35B (+8% YoY) - **Net Income (Q3 2023):** $1.85B (+12% YoY) - **Gross Margin:** 17.9% (vs. 16.3% in Q3 2022) - **Free Cash Flow:** $8.02B (vs. $3.3B in Q3 2022) ### Valuation Metrics - **P/E Ratio:** 45.2x - **EV/EBITDA:** 12.1x - **Market Cap:** $782.4B ### Comparison with BYD Company Ltd. (BYD) - **Revenue Growth (YoY):** Tesla (+8%) vs. BYD (+42%) - **Net Margin:** Tesla (7.9%) vs. BYD (10.2%) - **Stock Performance (YTD):** Tesla (+76.9%) vs. BYD (+63.4%) ### Industry Context (S&P 500 Automotive Index) - **Average Revenue Growth:** +5.2% - **Average P/E Ratio:** 38.7x ### Key Insights - Tesla outperformed the industry in revenue growth and stock performance. - BYD shows stronger profitability but lags in stock appreciation. - Tesla’s gross margin improvement highlights operational efficiency gains. **Recommendation:** Monitor Tesla’s ability to sustain high growth amid increasing competition from BYD and traditional automakers entering the EV space.
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