By name: news-sentiment description: Analyze recent news and determine sentiment impact on stock. Use when evaluating news flow, media coverage, or event-driven situations.
News Sentiment Analysis
Overview
Analyze recent company news to gauge sentiment and identify catalysts.
Analysis Process
Run News Sentiment Analysis
python .claude/skills/news-sentiment/scripts/analyze.py {TICKER} {END_DATE}
Process
- Fetches recent company news
- Analyzes sentiment of headlines
- Identifies key themes
- Aggregates into overall sentiment score
Key Outputs
- News count and recency
- Sentiment distribution
- Key themes identified
- Overall sentiment score
Signal Interpretation
- Bullish: Positive news flow, catalysts emerging
- Neutral: Mixed or routine news
- Bearish: Negative news, concerns raised
Example
Analyze AAPL as of 2024-12-01 for recent news sentiment.