/

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

XMONEY (XMONEY) Sentiment & Fear and Greed Index

As of July 21, 2026, XMONEY's Nebula Fear & Greed Index is 15 (Extreme Fear), its social sentiment score is 2/100 (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 & Greed15 · Extreme Fear
Sentiment2/100
Mindshare0.00%
Price$0.00041 +7.5%

Latest XMONEY insights

Fusion Mainnet Launches After Repeated DelaysJun 2, 2026

The Fusion Mainnet has officially launched today, following a series of previous postponements. The launch comes after the protocol experienced multiple delays. A related post notes a perceived correlation between Fusion's repeated delays and similar postponements associated with 'X money'.

X Money Sets Early Public Access Launch for Month-EndJun 2, 2026

X Money is projected to launch its early public access by the end of June 2026. This anticipated event will provide initial users with access to the platform, marking a significant step for the project.

Frequently asked questions

What is XMONEY's Fear & Greed Index?

XMONEY'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 XMONEY bullish or bearish right now?

XMONEY's social sentiment is currently bearish, with a sentiment score of 2/100 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 XMONEY sentiment?

Nebula reads every relevant social post about XMONEY 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.