NVIDIA (NVIDIA) Sentiment & Fear and Greed Index
As of July 4, 2026, NVIDIA's Ruma Fear & Greed Index is 0 (Extreme Fear), 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
Latest NVIDIA insights
Twelve Labs, an AI startup backed by NVIDIA, raised $100 million in funding from Amazon and other venture capital firms.
Singapore authorities seized a $42.4 million bungalow linked to a crypto fraud scheme involving NVIDIA chips.
Nvidia announced Claude models are generally available on Microsoft Foundry, running on the Nvidia GB300 NVL72 platform with Azure and Quantum-X800 InfiniBand networking.
Palantir and Nvidia expanded their partnership to deliver sovereign AI capabilities for the U.S. government, aiming to provide secure, domestically controlled AI infrastructure for critical national applications.
Micron Technology ($MU) has overtaken Nvidia and Tesla to become the most traded stock in America, with a daily turnover exceeding $70 billion for the first time. This is the first time any stock has surpassed both Nvidia and Tesla in daily trading volume over the past year.
OpenAI developed a new ASIC chip to compete with Nvidia's GPUs, moving from design to tape-out in nine months. The chip is in use, challenging Nvidia's dominance in AI hardware.
Frequently asked questions
What is NVIDIA's Fear & Greed Index?
NVIDIA'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 NVIDIA bullish or bearish right now?
Ruma scores NVIDIA'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 Ruma measure NVIDIA sentiment?
Ruma reads every relevant social post about NVIDIA 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.