MegaETH (MEGA) Sentiment & Fear and Greed Index
As of July 21, 2026, MegaETH's Nebula Fear & Greed Index is 26 (Fear), its social sentiment score is 45/100 (mixed), 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
Latest MegaETH insights
MegaETH ended its Mega Mafia accelerator program after several top portfolio projects migrated to Base, Monad, and custom networks.
Vitalik Buterin is reportedly part of the Mega Eth ($MEGA) cap table, a significant detail highlighted in recent crypto discussions. The project has an estimated Fully Diluted Valuation (FDV) of $1.6 billion and has successfully raised $506 million. Additionally, Mega Eth is already pre-listed on Coinbase, indicating substantial market interest.
MegaETH has officially launched its new 'Terminal' system. This platform is specifically designed to facilitate point farming for users. Notably, the initiative has attracted participation from significant market players, including 'CBB' (a smart whale known for the $HYPE project) and other large-scale whale miners.
Frequently asked questions
What is MegaETH's Fear & Greed Index?
MegaETH's Nebula Fear & Greed Index is currently 26 out of 100, which is Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.
Is MegaETH bullish or bearish right now?
MegaETH's social sentiment is currently mixed, with a sentiment score of 45/100 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 MegaETH sentiment?
Nebula reads every relevant social post about MegaETH 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.
