Case Study 3: Social Volume Indicates a Top

Metrics

Social Volume metric + Weighted Sentiment

Scenario

On May 21st, 2025, Mark, a part-time crypto trader, was monitoring his positions. While using a Screener to look at similar metrics across all his assets he noticed the Social Volume metric, which detects genuine asset mentions across several social media platforms, spike for “Avalanche” (AVAX)(1). The metric showed a ~300% increase in discussions on Telegram and Twitter that coincided with a recent upward movement in the price. Curious, he cross-referenced this with the Weighted Sentiment metric, revealing that most of the chatter around AVAX was bullish.

Decision: Mark decided this was indicating a short term top so he sold his position of 1000 AVAX tokens at $25.21 for $25,210 USD.

Outcome: The token crashed over the next month by -41%, bottoming in late June 2025. Mark stayed on the lookout for a moment to reenter the position because of his long term outlook on the project, mainly looking for bearish days with lower social volume since prices often rebounded in those scenarios.