Renzo (REZ) Sentiment & Fear and Greed Index
As of July 5, 2026, Renzo's Ruma Fear & Greed Index is 21 (Fear), its social sentiment score is 65/100 (bullish), 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
Latest Renzo insights
Rumors are circulating about a potential Renzo (REZ) listing on Upbit occurring this week. This speculation is fueled by the Renzo AI CEO's recent announcement hinting at a 'surprise' for the week. The Renzo team has been actively pursuing sequential exchange listings, adding context to these expectations.
The CEO of REZ has hinted at a potential listing on the Upbit exchange. This follows the REZ team's announcement of a token buyback, occurring after all REZ token unlocks have been completed. These recent developments indicate active management of the token's market dynamics.
The CEO of REZ has hinted at an upcoming listing on the UPBIT exchange, which is being interpreted as a bullish signal for the token. This development follows the completion of REZ's token unlock, putting its entire supply into circulation.
Frequently asked questions
What is Renzo's Fear & Greed Index?
Renzo's Ruma Fear & Greed Index is currently 21 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 Renzo bullish or bearish right now?
Renzo's social sentiment is currently bullish, with a sentiment score of 65/100 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 Renzo sentiment?
Ruma reads every relevant social post about Renzo 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.