dogwifhat (WIF) Sentiment & Fear and Greed Index
As of July 4, 2026, dogwifhat's Ruma Fear & Greed Index is 25 (Fear), its social sentiment score is 45/100 (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
Latest dogwifhat insights
Binance has reportedly spent $26 million to accumulate a significant position in the Solana-based token, dogwifhat (WIF). According to analysis, the exchange's break-even point for this particular investment is estimated when the token reaches a $388 million market capitalization.
WIF memecoin has secured a listing on the Upbit exchange, triggering a 23% price rally over the last seven days. This Solana-based memecoin previously led a 'memecoin supercycle,' growing from a $15k to $1.8B market cap.
A spot Exchange Traded Fund (ETF) application for Pepe (PEPE) has reportedly been filed. This development emerges as PEPE is experiencing a rally, gaining 7.5%, and attracting whale interest. The memecoin is part of a broader surge among tokens like FLOKI, BONK, WIF, and BOME, which are also nearing breakout zones.
Frequently asked questions
What is dogwifhat's Fear & Greed Index?
dogwifhat's Ruma Fear & Greed Index is currently 25 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 dogwifhat bullish or bearish right now?
dogwifhat'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 Ruma measure dogwifhat sentiment?
Ruma reads every relevant social post about dogwifhat 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.