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

CoW Protocol (COW) Sentiment & Fear and Greed Index

As of July 5, 2026, CoW Protocol's Ruma Fear & Greed Index is 14 (Extreme Fear), its social sentiment score is -72/100 (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 & Greed14 · Extreme Fear
Sentiment-72/100
Mindshare0.00%
Price$0.1466 -2.9%

Latest CoW Protocol insights

CoW Protocol Front End CompromisedApr 17, 2026

CoW Protocol's front end has reportedly been compromised, leading to security concerns among its user base. This incident has prompted users to seek out alternative platforms for crypto swaps, with one user noting they are now using MEXC due to its zero-fee offerings.

DeFi CoW Swap Pauses Protocol After Website CompromiseApr 14, 2026

Ethereum-based DeFi exchange CoW Swap has paused its protocol. This decision was made following a confirmed compromise of the platform's website.

Frequently asked questions

What is CoW Protocol's Fear & Greed Index?

CoW Protocol's Ruma Fear & Greed Index is currently 14 out of 100, which is Extreme Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.

Is CoW Protocol bullish or bearish right now?

CoW Protocol's social sentiment is currently bearish, with a sentiment score of -72/100 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 CoW Protocol sentiment?

Ruma reads every relevant social post about CoW Protocol 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.