Global Dollar (USDG) Sentiment & Fear and Greed Index
As of July 14, 2026, Global Dollar's Nebula Fear & Greed Index is 45 (Neutral), its social sentiment score is 49/100 (mixed), it holds 0.00% of crypto social mindshare. These signals are computed by Nebula from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.
Updated continuously · Source: Nebula
Latest Global Dollar insights
Robinhood introduced a 7% yield product on USDG stablecoins for U.S. users, following the launch of its own blockchain, Robinhood Chain, on Arbitrum on July 1. The platform also now offers tokenized shares for over 200 U.S. stocks.
Robinhood deployed its own public blockchain, Robinhood Chain, built on Arbitrum. The chain aims to support tokenized stocks and DeFi applications, and will feature a USDG stablecoin with yield opportunities.
Kamino's Real World Asset (RWA) market, built on Solana, has rapidly exceeded $1 billion in total deposits. This significant milestone was achieved in under a year, establishing Kamino as a major hub for leading RWA tokens such as BlackRock's PRIME, Ondo, and USDG.
Frequently asked questions
What is Global Dollar's Fear & Greed Index?
Global Dollar's Nebula Fear & Greed Index is currently 45 out of 100, which is Neutral. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.
Is Global Dollar bullish or bearish right now?
Global Dollar's social sentiment is currently mixed, with a sentiment score of 49/100 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 Nebula measure Global Dollar sentiment?
Nebula reads every relevant social post about Global Dollar 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.