USDH (USDH) Sentiment & Fear and Greed Index
As of July 5, 2026, USDH's Ruma Fear & Greed Index is 36 (Fear), its social sentiment score is -3/100 (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 USDH insights
HyperLend announced it will phase out USDH lending operations. This decision stems from USDH's impending cessation of operations on Hyperliquid. Consequently, users will be unable to borrow new USDH within the next 48 hours.
Coinbase has deepened its integration with Hyperliquid by becoming its official USDC treasury deployer, managing an estimated $5-5.5 billion in liquidity. This strategic shift sees Hyperliquid moving away from its native USDH stablecoin, whose assets Coinbase acquired, to fully embrace USDC. Coinbase also increased its staked HYPE holdings, contributing to a rally in the HYPE token.
Zest Protocol announced it has reached $8.7 million in total active loans. This portfolio includes over 10 BTC, 4 million USDCx, 4 million STX, and 2 million USDh, showcasing the protocol's current activity.
Frequently asked questions
What is USDH's Fear & Greed Index?
USDH's Ruma Fear & Greed Index is currently 36 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 USDH bullish or bearish right now?
USDH's social sentiment is currently bearish, with a sentiment score of -3/100 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 USDH sentiment?
Ruma reads every relevant social post about USDH 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.