name: sentiment description: Analyze market sentiment including insider trades, institutional ownership, and social signals. Use when gauging market psychology or smart money movements.
Sentiment Analysis
Overview
Analyze market sentiment through insider activity and institutional signals.
Analysis Process
Run Sentiment Analysis
python .claude/skills/sentiment/scripts/analyze.py {TICKER} {END_DATE}
Signals Analyzed
Insider Activity
- Recent buy/sell transactions
- Net insider position changes
- Executive trading patterns
Fundamental Sentiment
- Valuation sentiment (P/E, P/B levels)
- Growth expectations
- Quality metrics
Key Indicators
- Insider buying = Bullish signal
- Heavy insider selling = Bearish signal
- Low valuation + quality = Positive sentiment
Signal Interpretation
- Bullish: Net insider buying, undervaluation signals
- Neutral: Mixed or no significant activity
- Bearish: Heavy insider selling, overvaluation signals
Example
Analyze AAPL as of 2024-12-01 for sentiment signals.