>- A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report. Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations with risk assessment and actionable trading strategies.
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add netease-youdao/LobsterAI --skill "stock-analyzer" -g -a claude-code -yOr manually — clone and copy the skill directory (SKILL.md + companion files):
git clone --depth 1 https://github.com/netease-youdao/LobsterAI /tmp/LobsterAI && cp -r /tmp/LobsterAI/SKILLs/stock-analyzer ~/.claude/skills/stock-analyzerThis skill is a directory: SKILL.md is the entry point; the files below ship with it.
---
name: stock-analyzer
description: >-
A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics,
technical indicators, and growth analysis into a single professional report.
Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations
with risk assessment and actionable trading strategies.
official: true
---
# 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
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