Harmony (ONE) Sentiment & Fear and Greed Index
As of July 7, 2026, Harmony's Ruma Fear & Greed Index is 11 (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
Latest Harmony insights
A rumor has emerged about Harmony Protocol ($ONE) potentially being listed on Coinbase. This speculation was fueled by a recent social media post indicating an 'incoming' listing for the token.
Harmony Protocol has completed a significant buyback of 4.44 billion $ONE tokens. This substantial acquisition aims to reduce the token's circulating supply, a move often perceived positively by the community. The announcement included a supportive message from Binance CEO CZ, encouraging the community to dispel fear, uncertainty, and doubt.
Aave Governance has issued an update regarding the funding allocated for resolving an rsETH incident. The announcement additionally references the Harmony Protocol ONE incident, suggesting a comparison in incident management or resolution strategies.
Frequently asked questions
What is Harmony's Fear & Greed Index?
Harmony's Ruma Fear & Greed Index is currently 11 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 Harmony bullish or bearish right now?
Harmony'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 Harmony sentiment?
Ruma reads every relevant social post about Harmony 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.