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

Ethereum Name Service (ENS) Sentiment & Fear and Greed Index

As of July 4, 2026, Ethereum Name Service's Ruma Fear & Greed Index is 23 (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 & Greed23 · Fear
Sentiment0/100
Mindshare0.00%
Price$4.33 -1.4%

Latest Ethereum Name Service insights

ENS Co-Founder Departs; Team Declines $1.2M GrantJul 3, 2026

Brantly Millegan has left the ENS ecosystem, and the ethid.org developer team is declining a $1.2 million ENS DAO grant. The team is winding down operations.

ENS Root Controller Transferred from Multisig to New EntityJun 26, 2026

The ENS root controller was moved from a multisig to a different entity, raising governance and security concerns. The change echoes a scenario Vitalik Buterin discussed in a 2023 blog post about legitimacy in decentralized systems.

Frequently asked questions

What is Ethereum Name Service's Fear & Greed Index?

Ethereum Name Service's Ruma Fear & Greed Index is currently 23 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 Ethereum Name Service bullish or bearish right now?

Ethereum Name Service'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 Ethereum Name Service sentiment?

Ruma reads every relevant social post about Ethereum Name Service 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.