/

USDS (USDS) Sentiment & Fear and Greed Index

As of July 15, 2026, USDS's Nebula Fear & Greed Index is 49 (Neutral), its social sentiment score is 53/100 (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

Fear & Greed49 · Neutral
Sentiment53/100
Mindshare0.00%
Price$0.9997 +0.0%

Latest USDS insights

Coinbase Delists DAI, Converts Remaining Assets to USDSMay 4, 2026

Coinbase is delisting the DAI stablecoin from its platform on May 4th. Following this action, all remaining DAI assets held by users will be automatically converted to USDS. This move directly impacts Coinbase users who currently hold DAI.

Spark (SPK) Surges 3x Post-Korean Exchange ListingApr 23, 2026

Spark (SPK) has experienced a nearly 3x price surge following its recent listing on a Korean exchange. This positive development, alongside reported issues concerning AAVE, has boosted interest in the token. The Spark protocol currently offers a 7.48% APR for staking USDS to mine SPK, with the total value locked (TVL) for staked USDS approaching $800 million.

Frequently asked questions

What is USDS's Fear & Greed Index?

USDS's Nebula Fear & Greed Index is currently 49 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 USDS bullish or bearish right now?

USDS's social sentiment is currently mixed, with a sentiment score of 53/100 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 USDS sentiment?

Nebula reads every relevant social post about USDS 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.