news-sentiment

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

1. Fetches recent company news
2. Analyzes sentiment of headlines
3. Identifies key themes
4. 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.