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

Parameter	Description	Example	Default
ticker	Stock ticker symbol (required)	601288.SS, AAPL	-
--period	Analysis period	1mo, 3mo, 6mo, 1y, 2y	6mo
--output	Output format	text, json	text

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