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stock-analyzer

The stock-analyzer generates professional investment reports by calculating real-time market data, value investing metrics, technical indicators, growth analysis, and financial health scores for stocks across multiple exchanges. Use it when analyzing individual stocks to obtain comprehensive ratings covering value, technical, growth, and financial dimensions alongside specific trading strategies and risk warnings.

View source Repository: LobsterAI

Install in Claude Code

Copy

git clone --depth 1 https://github.com/netease-youdao/LobsterAI /tmp/stock-analyzer && cp -r /tmp/stock-analyzer/SKILLs/stock-analyzer ~/.claude/skills/stock-analyzer

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# 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):

```bash
pip install yfinance pandas numpy
```

## Usage

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

### Basic Analysis

```bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS
```

### Specify Analysis Period

```bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 000001.SZ --period 1y
```

### US Stocks

```bash
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**
   ```bash
   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