stock-analysis
Run comprehensive stock analysis workflows combining fundamental, technical, and sentiment analysis. Use when analyzing individual stocks, generating recommendations, or running batch analysis. Trigger on stock analysis, recommendation, or valuation discussions.
npx skills add majiayu000/claude-skill-registry --skill stock-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Stock Analysis Skill Comprehensive stock analysis combining fundamental, technical, and ML-based sentiment analysis. ## Quick Analysis Commands ### Single Stock Analysis ```bash # Run full analysis for a single stock python -c " from backend.services.analysis import StockAnalyzer analyzer = StockAnalyzer() result = analyzer.analyze('AAPL') print(f''' === {result.ticker} Analysis === RECOMMENDATION: {result.recommendation} Confidence: {result.confidence:.1%} Target Price: \${result.target_price:.2f} Fundamental Score: {result.fundamental_score:.2f}/10 Technical Score: {result.technical_score:.2f}/10 Sentiment Score: {result.sentiment_score:.2f}/10 Key Thesis: {result.thesis} Risk Factors: {chr(10).join(f\" - {r}\" for r in result.risk_factors)} ''') " ``` ### Batch Analysis ```bash # Analyze multiple stocks python -c " from backend.services.analysis import BatchAnalyzer analyzer = BatchAnalyzer() results = analyzer.analyze_batch(['AAPL', 'GOOGL', 'MSFT', 'AMZN']) for r in results: print(f'{r.ticker}: {r.recommendation} ({r.confidence:.0%})') " ``` ## Analysis Components ### 1. Fundamental Analysis ```python from backend.analysis.fundamental import FundamentalAnalyzer fa = Fundamen
- Quick Analysis Commands
- Single Stock Analysis
- Batch Analysis
- Analysis Components
- 1. Fundamental Analysis
- 2. Technical Analysis
- 3. Sentiment Analysis
- Analysis Pipeline
- Recommendation Scoring
- Key Metrics Reference
- Fundamental Metrics
- Technical Signals
- Usage Examples
- Compare Stocks
Run full analysis for a single stock
python -c "
from backend.services.analysis import StockAnalyzer
analyzer = StockAnalyzer()
result = analyzer.analyze('AAPL')
Target Price: \${result.target_price:.2f}
Fundamental Score: {result.fundamental_score:.2f}/10
Technical Score: {result.technical_score:.2f}/10
Sentiment Score: {result.sentiment_score:.2f}/10
Key Thesis:What does the stock-analysis skill do?
Run comprehensive stock analysis workflows combining fundamental, technical, and sentiment analysis. Use when analyzing individual stocks, generating recommendations, or running batch analysis. Trigger on stock analysis, recommendation, or valuation discussions.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill stock-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.