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 (default: 3.0 standard deviations).

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