RUMA
/

Ondo US Dollar Yield (USDY) Sentiment & Fear and Greed Index

As of July 5, 2026, Ondo US Dollar Yield's Ruma Fear & Greed Index is 40 (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 & Greed40 · Fear
Sentiment0/100
Mindshare0.00%
Price$1.14 -0.1%

Latest Ondo US Dollar Yield insights

Sui Launches Gasless Stablecoin Transfers, Eliminates SUI FeesMay 21, 2026

Sui has introduced a new feature enabling gasless transfers for several major stablecoins. This update applies to USDC, FDUSD, and USDY, effectively removing the requirement for users to hold SUI tokens to cover transaction fees for these specific transactions.

STBT, TBILL, USDY Lead Rapid Growth in Tokenized T-Bill FundsApr 12, 2026

Tokenized US T-bill funds are demonstrating significant and rapid growth, with STBT, TBILL, and USDY identified as the fastest-growing in the sector. Matrixdock's STBT and OpenEden's TBILL on Ethereum, alongside Ondo Finance's USDY on Sei Network, are leading this expansion among others like Centrifuge's JTRSY.

Frequently asked questions

What is Ondo US Dollar Yield's Fear & Greed Index?

Ondo US Dollar Yield's Ruma Fear & Greed Index is currently 40 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 Ondo US Dollar Yield bullish or bearish right now?

Ondo US Dollar Yield'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 Ondo US Dollar Yield sentiment?

Ruma reads every relevant social post about Ondo US Dollar Yield 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.