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Fear and Greed Index

SENTIMENT:

KOL CALLS

Long/Short Calls

MINDSHARE:

Intelligence

Emotions

Social Momentum

FEED:

Cultiness Index

Followers

Volume ($)

Volatility

Mcap vs BTC

Sentiment Timeframes

USD.AI (CHIP) Sentiment & Fear and Greed Index

As of July 15, 2026, USD.AI's Nebula Fear & Greed Index is 17 (Extreme Fear), its social sentiment score is 21/100 (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

Fear & Greed17 · Extreme Fear
Sentiment21/100
Mindshare0.00%
Price$0.0307 +3.3%

Latest USD.AI insights

Whale 0x1527 Adds $CHIP Long, Holds Millions in AltsApr 24, 2026

A significant crypto whale, identified as 0x1527 and known for holding the largest on-chain $ASTER long, has opened a new long position in $CHIP. This new $CHIP long is valued at $3.43 million, expanding the whale's substantial existing portfolio. The whale's holdings also include major long positions in $ASTER ($16.72M) and $MON ($2.52M), along with $TAO, signaling continued bullish sentiment across these altcoins.

Frequently asked questions

What is USD.AI's Fear & Greed Index?

USD.AI'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 USD.AI bullish or bearish right now?

USD.AI's social sentiment is currently bearish, with a sentiment score of 21/100 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 USD.AI sentiment?

Nebula reads every relevant social post about USD.AI 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.