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stock-analyzer

stock-analyzer

github.com/netease-youdaoOther6.2k64 installsUpdated 6d ago
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About stock-analyzer

stock-analyzer is a skill that uses a Python script to produce multi-dimensional stock reports for users assessing performance and risk. Reports cover market data, valuation, technical indicators, growth, financial health, an overall rating, and trading strategies.

Key features

  1. 01Analyze market and valuation metrics
  2. 02Calculate technical indicators and scores
  3. 03Assess growth and financial health
  4. 04Generate an overall investment rating
  5. 05Provide strategies and risk warnings

Use cases

  1. 01Get a comprehensive analysis of a stock
  2. 02Compare valuation and growth indicators
  3. 03Review technical signals and risk levels

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/netease-youdao/lobsterai --skill stock-analyzer

After installing, type/stock-analyzerin Claude Code to confirm it loaded.

Bundled filesscripts/analyze.py

Details

From the project README

Stock Deep Analyzer

One-stop comprehensive stock analysis tool that generates professional-grade investment reports.

Features

  • Real-time Market Data — Current price, volume, market cap, beta
  • Value Investing Metrics — P/E, P/B, ROE, ROA, dividend yield, payout ratio
  • Technical Indicators — MA5/20/60, RSI, MACD, Bollinger Bands, VWAP
  • Growth Analysis — Revenue growth, earnings growth, profit margins
  • Financial Health — Asset/liability ratio, liquidity ratio
  • Investment Rating — Multi-dimensional scoring (value 35% / technical 25% / growth 25% / financial 15%)
  • Trading Strategies — Long-term hold, swing trade, short-term speculation
  • Risk Assessment — Key risks and price levels

Dependencies

Python packages (install once):

pip install yfinance pandas numpy

Usage

IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.

Basic Analysis
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS
Specify Analysis Period
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 000001.SZ --period 1y
US Stocks
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" AAPL
Parameters
ParameterDescriptionExampleDefault
tickerStock ticker symbol (required)601288.SS, AAPL-
--periodAnalysis period1mo, 3mo, 6mo, 1y, 2y6mo
--outputOutput formattext, jsontext

Stock Ticker Formats

  • A-share (Shanghai): 600519.SS, 601288.SS
  • A-share (Shenzhen): 000001.SZ, 002594.SZ
  • US stocks: AAPL, TSLA, NVDA
  • HK stocks: 0700.HK, 9988.HK

Output Structure

The analysis report includes 8 sections:

  1. Real-time Market Overview
  2. Value Investing Indicators (Score /10)
  3. Technical Analysis (Score /10)
  4. Growth Indicators (Score /10)
  5. Financial Health (Score /10)
  6. Comprehensive Investment Rating (Overall /10)
  7. Recommended Trading Strategies
  8. Key Risk Warnings

Workflow

When user requests stock analysis:

  1. Identify ticker symbol

    • User may provide company name → use web-search to find ticker
    • A-share: Shanghai = .SS, Shenzhen = .SZ

  2. Execute analysis

    export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" <ticker>

  3. Interpret results

    • Extract overall rating and key findings
    • Highlight investment recommendation
    • Emphasize risk warnings
    • Provide actionable price levels

Limitations

  • Yahoo Finance data quality varies by market
  • Some metrics may be N/A for loss-making companies
  • Historical data limited for newly listed stocks
  • Real-time quotes may have 15-min delay

When to Use This Skill

  • User requests "深度分析", "complete analysis", "comprehensive report"
  • User wants multi-dimensional evaluation (value + growth + technical)
  • User needs actionable trading strategies
  • User asks for investment recommendations with risk assessment

Comments

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