Sentiment Auditor Skill
This skill quantifies market sentiment by analyzing news flow related to specific Indian stocks.
Capabilities
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News Aggregation: Scrapes headlines from sources like Google News (India) or Yahoo Finance (India).
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Sentiment Scoring: Uses NLP (textblob or similar) to assign a polarity score between -1.0 (Highly Negative) and +1.0 (Highly Positive).
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Historical Mood Tracking: Trends sentiment over a specified time window.
Tools & Libraries
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beautifulsoup4 , requests for scraping headlines.
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textblob for basic NLP sentiment analysis.
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pandas for structuring temporal sentiment data.
Workflow
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Search news for "{Company Name} stock news".
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Extract headline text and publication timestamps.
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Pass each headline through the sentiment model.
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Calculate a "Mood Score" (weighted average of recent sentiment).