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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

Orbs (ORBS) Sentiment & Fear and Greed Index

As of July 15, 2026, Orbs's Nebula Fear & Greed Index is 17 (Extreme Fear), its social sentiment score is 71/100 (bullish), 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
Sentiment71/100
Mindshare0.00%
Price$0.0060 -0.7%

Latest Orbs insights

Bybit Delists 5 Tokens from Futures MarketJun 9, 2026

Bybit removed SPCX, PYR, GODS, ORBS, and SC tokens from its futures trading platform. The exchange has not provided specific reasons for the delisting.

ORBS Discloses $333M Treasury: OpenAI, Worldcoin, ETH HoldingsMay 26, 2026

Orbs ($ORBS) has unveiled its significant treasury holdings, amounting to a total of $333 million in diverse assets. The portfolio includes $90 million in private OpenAI shares, 277 million Worldcoin tokens (representing 9% of the total supply), and over 11,000 ETH. Additionally, the treasury holds $25 million in Beast Industries (MrBeast) and $110 million in cash and stablecoins.

Frequently asked questions

What is Orbs's Fear & Greed Index?

Orbs'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 Orbs bullish or bearish right now?

Orbs's social sentiment is currently bullish, with a sentiment score of 71/100 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 Orbs sentiment?

Nebula reads every relevant social post about Orbs 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.