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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

Orange Juice (OJ) Sentiment & Fear and Greed Index

As of July 15, 2026, Orange Juice'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 Orange Juice insights

Lyn Alden Launches Orange Juice to Buy Firms, Invest Profits in BitcoinJul 15, 2026

Lyn Alden announced a new company, Orange Juice, that will acquire cash-generative businesses using stock as currency. Profits from acquisitions will be invested into Bitcoin, integrating the cryptocurrency into private equity.

Bitcoin-Backed Firm Raises $40M to Disrupt Private EquityJul 15, 2026

Orange Juice, a Bitcoin-backed holding company, raised $40 million to challenge the traditional private equity model. Unlike firms that buy businesses, cut costs, and sell within 4-7 years, Orange Juice aims for a longer-term, Bitcoin-aligned approach to ownership and value creation.

Frequently asked questions

What is Orange Juice's Fear & Greed Index?

Orange Juice'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 Orange Juice bullish or bearish right now?

Nebula scores Orange Juice'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 Orange Juice sentiment?

Nebula reads every relevant social post about Orange Juice 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.