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Fear and Greed Index

Sentiment:

KOL Calls

Long/Short Calls

Mindshare:

Intelligence

Emotions

Social Momentum

Feed:

Conviction Index

Followers

Volume ($)

Volatility

Mcap vs BTC

Sentiment Timeframes

Truth Social (TRUTH SOCIAL) Sentiment & Fear and Greed Index

As of July 17, 2026, Truth Social's Nebula Fear & Greed Index is 0 (Extreme Fear), 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 & Greed0 · Extreme Fear
Mindshare0.00%

Latest Truth Social insights

Trump Media Launches Paid API for Truth Social AccessJul 17, 2026

Trump Media & Technology Group, operator of Truth Social, launched a paid API service providing institutional customers prioritized access to posts from key accounts, including Donald Trump's, for fastest data retrieval for news organizations and financial firms.

Donald Trump Reportedly Shills $TripleT Token on Truth SocialMay 3, 2026

Donald Trump reportedly promoted the $TripleT token on Truth Social. A recent post on the platform claimed the former President "shilled" the cryptocurrency approximately an hour prior to the observation. This highlights the growing trend of public figures engaging with specific token promotions.

Frequently asked questions

What is Truth Social's Fear & Greed Index?

Truth Social's Nebula Fear & Greed Index is currently 0 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 Truth Social bullish or bearish right now?

Nebula scores Truth Social's social sentiment as bullish, bearish, or mixed based on LLM analysis of the crypto social conversation. Sentiment reflects market mood, not financial advice.

How does Nebula measure Truth Social sentiment?

Nebula reads every relevant social post about Truth Social 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.