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Berachain (BERA) Sentiment & Fear and Greed Index

As of July 5, 2026, Berachain's Ruma Fear & Greed Index is 17 (Extreme Fear), its social sentiment score is 49/100 (mixed), 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 & Greed17 · Extreme Fear
Sentiment49/100
Mindshare0.00%
Price$0.2089 -3.8%

Latest Berachain insights

Berachain Blacklists Wasabi Vaults, Halts Rewards After Key LeakApr 30, 2026

Berachain has blacklisted Wasabi vaults and suspended its BGT rewards. This decisive action follows a reported private key leak. The measures aim to address the security incident and mitigate potential risks.

CORE, Injective, Berachain Lead DeFi TVL GrowthApr 22, 2026

CORE, Injective, and Berachain protocols have reported significant increases in their Total Value Locked (TVL), leading the top DeFi TVL growth. CORE experienced a 42.23% rise to $10.4 million, while Injective saw a 36.26% increase, reaching $16.1 million. Berachain also showed substantial growth, with its TVL climbing 21.41% to $87.6 million, contributing to the overall DeFi TVL of approximately $87 billion.

Frequently asked questions

What is Berachain's Fear & Greed Index?

Berachain's Ruma Fear & Greed Index is currently 17 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 Berachain bullish or bearish right now?

Berachain's social sentiment is currently mixed, with a sentiment score of 49/100 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 Berachain sentiment?

Ruma reads every relevant social post about Berachain 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.