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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

INTEL (INTC) Sentiment & Fear and Greed Index

As of July 13, 2026, INTEL's Ruma Fear & Greed Index is 0 (Extreme Fear), its social sentiment score is 0/100 (bearish), it holds 0.00% of crypto social mindshare. These signals are computed by Ruma from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.

Updated continuously · Source: Ruma

Fear & Greed0 · Extreme Fear
Sentiment0/100
Mindshare0.00%

Latest INTEL insights

Trump: Apple to Partner with Intel on US Chip ManufacturingJun 18, 2026

President Trump announced Apple agreed to collaborate with Intel on U.S.-based chip design and manufacturing, boosting attention on Intel's foundry turnaround. Intel's stock (INTC) surged nearly 9% in premarket trading. The partnership comes amid developments around Intel's 18A process node.

NVIDIA Tests Intel 18A Process for Feynman GPUJun 8, 2026

NVIDIA is reportedly testing Intel's 18A manufacturing process and EMIB packaging technology for its next-generation Feynman processor. The main GPU compute die will remain with TSMC, but Intel could gain a foothold in advanced packaging for the chip.

Frequently asked questions

What is INTEL's Fear & Greed Index?

INTEL's Ruma 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 INTEL bullish or bearish right now?

INTEL's social sentiment is currently bearish, with a sentiment score of 0/100 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 Ruma measure INTEL sentiment?

Ruma reads every relevant social post about INTEL 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.