The Sentiment module analyzes financial news and social media content using natural language processing (NLP) to quantify market sentiment toward each stock.
How It Works
The system collects news from multiple sources, processes them with finance-specialized NLP models, and generates a sentiment score for each ticker. The score ranges from -1 (very negative) to +1 (very positive).
What It Shows
- Sentiment score: Aggregated score per ticker
- Trend: Whether sentiment is improving or deteriorating
- Mention volume: How many news articles have been published
- Key news: The most relevant news with their impact
Contrarian sentiment: Extremely positive sentiment may indicate euphoria (time to be cautious). Very negative sentiment can be a buying opportunity.
Measure the market pulse
View Sentiment