Ondo (ONDO) Sentiment & Fear and Greed Index
As of July 14, 2026, Ondo's Nebula Fear & Greed Index is 17 (Extreme Fear), its social sentiment score is 25/100 (bearish), 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 Ondo insights
SK Hynix priced its US foreign listing at $26.5 billion, the largest ever, with American depositary shares (ADSs) at $149, a 2.9% premium to its Seoul close. Ondo Finance plans to tokenize the offering on the same day.
Ondo Finance (ONDO) will soon be listed on Trust Wallet, which teased 0% fees on eligible real-world assets (RWAs) from Ondo.
MEXC announced the initial listing of four tokenized stocks powered by Ondo Finance. The listings go live on July 10, 2026, at 13:00 UTC.
Ondo Finance launched 24/7 tokenized stock trading on Solana, enabling users to trade SPY, QQQ, NVDA, TSLA, and GOOGL around the clock. The integration uses Solana's high-speed network to provide real liquidity for these tokenized equities.
Ondo Finance launched over 430 tokenized stocks and ETFs on Uniswap, spanning Ethereum and BNB Chain.
MEXC announced the initial listing of nine new tokenized stocks powered by Ondo Finance, starting July 8, 2026.
Frequently asked questions
What is Ondo's Fear & Greed Index?
Ondo's Nebula Fear & Greed Index is currently 17 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 Ondo bullish or bearish right now?
Ondo's social sentiment is currently bearish, with a sentiment score of 25/100 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 Ondo sentiment?
Nebula reads every relevant social post about Ondo 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.