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$PUMP

Low signal

Snapshot Window: 2026-10-10 07:30 UTC · ← Back to Crypto Overview

Tracked Posts
1
Total Impressions
136
Total Likes
3
Retweets & Quotes
2
Comments
1

Social Momentum Summary

Total Engagement - Comments: 1, Retweets: 2, Likes: 3, Impressions: 136

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@TokenBrice

gm, here is a @PharosWatch chart every stablecoin enjoyer should study: cause of death (>113 documented) x peak marketcap Patterns emerge: - Abandonment is frequent amongst low mktcap - Liquidity drain is common in the 10-100m range - Counterparty failure is mostly a >$100m pb

The image is a scatter plot titled "Peak market cap by cause" displaying the largest coins that did not survive a collapse, with each dot representing a stablecoin project at its peak market cap before failure. The y-axis categorizes five causes of death—Abandonment, Counterparty Failure, Liquidity Drain, Algorithmic Failure, and Regulatory—while the x-axis shows market cap on a logarithmic scale, with notable high-cap failures including UST (algorithmic), MIM (liquidity drain), and PAX (abandonment) at the right side, confirming the post's observation that abandonment clusters among low-cap projects and counterparty failures predominantly occur above $100M.

AI visual note: The image is a scatter plot titled "Peak market cap by cause" displaying the largest coins that did not survive a collapse, with each dot representing a stablecoin project at its peak market cap before failure. The y-axis categorizes five causes of death—Abandonment, Counterparty Failure, Liquidity Drain, Algorithmic Failure, and Regulatory—while the x-axis shows market cap on a logarithmic scale, with notable high-cap failures including UST (algorithmic), MIM (liquidity drain), and PAX (abandonment) at the right side, confirming the post's observation that abandonment clusters among low-cap projects and counterparty failures predominantly occur above $100M.

Contributing Voices for $PUMP

@oSKNYo_dev