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Metaplex (MPLX) Sentiment & Fear and Greed Index

As of July 5, 2026, Metaplex's Ruma Fear & Greed Index is 51 (Neutral), its social sentiment score is 43/100 (mixed), 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 & Greed51 · Neutral
Sentiment43/100
Mindshare0.00%
Price$0.0467 +9.2%

Latest Metaplex insights

Upbit Lists Metaplex and Nexus on Solana and EthereumJul 3, 2026

Upbit listed Metaplex (MPLX) and Nexus (NEX) tokens on Solana and Ethereum. Deposits and trading open soon.

CandyDigital Migrates to Solana via Metaplex CoreJun 22, 2026

CandyDigital has begun migrating its accounts and collections to the Solana blockchain using Metaplex Core. The upgrade is now visible to users.

Metaplex Integrates AI Prompts to Simplify Solana Asset ManagementApr 28, 2026

Metaplex has integrated with Eitherway's AI prompting layer, enabling creators to manage Solana assets like SPL tokens. This development simplifies the process of interacting with real Solana assets through AI prompts. The integration aims to remove significant barriers for builders within the Solana ecosystem.

Frequently asked questions

What is Metaplex's Fear & Greed Index?

Metaplex's Ruma Fear & Greed Index is currently 51 out of 100, which is Neutral. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.

Is Metaplex bullish or bearish right now?

Metaplex's social sentiment is currently mixed, with a sentiment score of 43/100 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 Metaplex sentiment?

Ruma reads every relevant social post about Metaplex 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.