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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

Hoppy (HOPPY) Sentiment & Fear and Greed Index

As of July 14, 2026, Hoppy's Nebula Fear & Greed Index is 28 (Fear), its social sentiment score is 52/100 (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 & Greed28 · Fear
Sentiment52/100
Mindshare0.00%
Price$0.0000030 -8.1%

Latest Hoppy insights

HOPPY Token Hits New ATH, Secures First Exchange ListingJul 13, 2026

The HOPPY token reached a new all-time high, surging from $700,000 to $5 million market cap—a 7x increase overnight. The token secured its first exchange listing, capitalizing on its status as the original frog character created by Matt Furie before Pepe, riding momentum from the Robinhood chain.

SHIB Team Rumored to Boost HOPPY After Robinhood ListingJul 12, 2026

The SHIB team is reportedly planning to support the growth of $HOPPY, which recently became the second memecoin ever listed on Robinhood.

Frequently asked questions

What is Hoppy's Fear & Greed Index?

Hoppy's Nebula Fear & Greed Index is currently 28 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 Hoppy bullish or bearish right now?

Hoppy's social sentiment is currently mixed, with a sentiment score of 52/100 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 Hoppy sentiment?

Nebula reads every relevant social post about Hoppy 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.