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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

Stacks (STX) Sentiment & Fear and Greed Index

As of July 14, 2026, Stacks's Nebula Fear & Greed Index is 15 (Extreme Fear), its social sentiment score is 40/100 (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 & Greed15 · Extreme Fear
Sentiment40/100
Mindshare0.00%
Price$0.1686 +2.7%

Latest Stacks insights

Nakamoto Inc Leverages Stacks for 5,000 BTC Treasury YieldMay 28, 2026

Nakamoto Inc's UTXO Management is utilizing Stacks to generate yield on its substantial 5,000 BTC treasury. This initiative directly addresses the increasing demand from institutional Bitcoin holders seeking native BTC yield solutions without requiring their assets to be wrapped or bridged.

Zest Protocol Reports $8.7M Active LoansApr 29, 2026

Zest Protocol announced it has reached $8.7 million in total active loans. This portfolio includes over 10 BTC, 4 million USDCx, 4 million STX, and 2 million USDh, showcasing the protocol's current activity.

Frequently asked questions

What is Stacks's Fear & Greed Index?

Stacks's Nebula Fear & Greed Index is currently 15 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 Stacks bullish or bearish right now?

Stacks's social sentiment is currently mixed, with a sentiment score of 40/100 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 Stacks sentiment?

Nebula reads every relevant social post about Stacks 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.