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

Decentraland (MANA) Sentiment & Fear and Greed Index

As of July 4, 2026, Decentraland's Ruma Fear & Greed Index is 15 (Extreme Fear), its social sentiment score is 27/100 (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 & Greed15 · Extreme Fear
Sentiment27/100
Mindshare0.00%
Price$0.0702 -2.1%

Latest Decentraland insights

WETH, USDC Active on Ethereum; MANA, PEPE, SHIB See SellingApr 27, 2026

On-chain data reveals significant capital movements across various tokens on the Ethereum network over the past 30 minutes. WETH and USDC have recorded substantial trading activity, with $94 million WETH and $65 million USDC moving, though a clear directional bias remains undetermined. Concurrently, MANA, PEPE, and SHIB tokens are quietly experiencing notable selling pressure.

Frequently asked questions

What is Decentraland's Fear & Greed Index?

Decentraland's Ruma Fear & Greed Index is currently 15 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 Decentraland bullish or bearish right now?

Decentraland's social sentiment is currently bearish, with a sentiment score of 27/100 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 Decentraland sentiment?

Ruma reads every relevant social post about Decentraland 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.