Santiment's Social Dominance Spike anomaly flags unusually high social attention relative to an asset's recent social-dominance history.

Overview

The social_dominance_spike signal identifies abnormal spikes in social dominance metrics for cryptocurrency assets using statistical z-score analysis. It monitors pre-calculated z-scores from social data and detects when assets experience unusually high or low levels of social attention compared to their historical patterns.

The signal processes z-score values that represent how many standard deviations an asset's current social dominance deviates from its historical average, triggering alerts when these values exceed statistical significance thresholds.

Use Cases

This signal is valuable for:

• Trend Detection: Identifying cryptocurrencies experiencing viral social media attention or sudden drops in community interest
• Market Sentiment Analysis: Understanding shifts in public perception and social sentiment toward specific assets before they impact prices
• Risk Management: Detecting when assets are losing social traction, potentially indicating weakening fundamentals or community support
• Trading Opportunities: Finding assets gaining unexpected social momentum that may precede price movements