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

Claude Mythos (MYTHOS) Sentiment & Fear and Greed Index

As of July 6, 2026, Claude Mythos's Ruma Fear & Greed Index is 0 (Extreme 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 & Greed0 · Extreme Fear
Sentiment0/100
Mindshare0.00%

Latest Claude Mythos insights

US Government Gates GPT-5.6 Sol, Restricts Anthropic ModelsJun 27, 2026

The US government imposed a limited preview of OpenAI's GPT-5.6 Sol while keeping Anthropic's Mythos and Fable 5 models restricted under export control orders, a new phase of frontier model gating limiting access to advanced AI systems for national security reasons.

Mythos AI Uncovers 16-Year-Old FFmpeg Bug and Zcash FlawsJun 5, 2026

Mythos, an AI model also known as Claude Mythos Preview, discovered a 16-year-old vulnerability in FFmpeg that evaded 5 million fuzz tests, along with security flaws in Zcash.

Frequently asked questions

What is Claude Mythos's Fear & Greed Index?

Claude Mythos's Ruma Fear & Greed Index is currently 0 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 Claude Mythos bullish or bearish right now?

Claude Mythos'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 Claude Mythos sentiment?

Ruma reads every relevant social post about Claude Mythos 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.