Sentiment Auditor Skill

This skill quantifies market sentiment by analyzing news flow related to specific Indian stocks.

Capabilities

• News Aggregation: Scrapes headlines from sources like Google News (India) or Yahoo Finance (India).
• Sentiment Scoring: Uses NLP (textblob or similar) to assign a polarity score between -1.0 (Highly Negative) and +1.0 (Highly Positive).
• Historical Mood Tracking: Trends sentiment over a specified time window.

Tools & Libraries

• beautifulsoup4, requests for scraping headlines.
• textblob for basic NLP sentiment analysis.
• pandas for structuring temporal sentiment data.

Workflow

1. Search news for "{Company Name} stock news".
2. Extract headline text and publication timestamps.
3. Pass each headline through the sentiment model.
4. Calculate a "Mood Score" (weighted average of recent sentiment).