SoSoValue (SOSO) Sentiment & Fear and Greed Index
As of July 5, 2026, SoSoValue's Ruma Fear & Greed Index is 8 (Extreme Fear), its social sentiment score is 2/100 (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
Latest SoSoValue insights
The SoSoValue Crypto Season 2 airdrop claim went live, but many community members report being ineligible or receiving very low rewards, with some claiming less than 20 $SOSO tokens. Users who completed verification and tasks expressed disappointment, while a minority celebrated the airdrop. The backlash has led to accusations of a scam and calls for the team to address the issues.
Bitcoin spot exchange-traded funds (ETFs) recorded a collective net inflow of $46.33 million on May 6th, according to SoSoValue data. This activity indicates continued capital allocation into these investment vehicles. Separately, market monitoring identified a significant whale initiating a sustained buying effort approximately three hours prior to the insight's publication.
Frequently asked questions
What is SoSoValue's Fear & Greed Index?
SoSoValue's Ruma Fear & Greed Index is currently 8 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 SoSoValue bullish or bearish right now?
SoSoValue's social sentiment is currently bearish, with a sentiment score of 2/100 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 SoSoValue sentiment?
Ruma reads every relevant social post about SoSoValue 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.