RUMA
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Fear and Greed Index

SENTIMENT:

KOL CALLS

Long/Short Calls

MINDSHARE:

Intelligence

Emotions

Social Momentum

FEED:

Cultiness Index

Followers

Volume ($)

Volatility

Mcap vs BTC

Sentiment Timeframes

eBTC (EBTC) Sentiment & Fear and Greed Index

As of July 5, 2026, eBTC's Ruma Fear & Greed Index is 22 (Fear), its social sentiment score is 0/100 (bearish), it holds 0.00% of crypto social mindshare. These signals are computed by Ruma from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.

Updated continuously · Source: Ruma

Fear & Greed22 · Fear
Sentiment0/100
Mindshare0.00%
Price$62,994 +0.5%

Latest eBTC insights

Echo Protocol Exploit: $77M Stolen via Admin Key CompromiseMay 19, 2026

Echo Protocol suffered a $77 million exploit today, stemming from an admin key compromise. The attacker minted 1,000 unauthorized eBTC on the Monad network. These tokens were used as collateral to borrow Wrapped Bitcoin (WBTC), which was then bridged to Ethereum and laundered through various methods, including Tornado Cash. As a result, most of the stolen eBTC was destroyed and bridge operations were suspended.

Frequently asked questions

What is eBTC's Fear & Greed Index?

eBTC's Ruma Fear & Greed Index is currently 22 out of 100, which is Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.

Is eBTC bullish or bearish right now?

eBTC's social sentiment is currently bearish, with a sentiment score of 0/100 based on how bullish or bearish the crypto social conversation is. Sentiment reflects the mood of the market, not price direction or financial advice.

How does Ruma measure eBTC sentiment?

Ruma reads every relevant social post about eBTC across crypto Twitter/X and other sources and scores it with large language models — capturing bullish/bearish tone, emotion, and who is speaking (from retail to smart money) — rather than counting keywords.