NFPrompt (NFP) Sentiment & Fear and Greed Index
As of July 12, 2026, NFPrompt's Ruma Fear & Greed Index is 9 (Extreme Fear), its social sentiment score is 0/100 (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 NFPrompt insights
Binance added NFPrompt to its delisting list. The token previously generated five-figure airdrops for users completing daily tasks, but its value and relevance declined amid shifting market trends.
Binance will delist ALCX, ARDR, NFP, and POND on July 10, 2026. The exchange did not provide a specific reason; such actions typically follow periodic reviews of trading pairs and project compliance. The announcement drew criticism, with one post accusing Binance and its leadership of being scammers.
Binance has officially added NFP, NOM, POND, QUICK, and VIC to its Monitoring Tag list. This designation signals that these tokens are under heightened review due to factors like high volatility, low liquidity, or project fundamentals. The related announcement explicitly cautioned users to "get rid of" these assets, underscoring the significant risks and uncertain future viability for investors on the exchange.
Frequently asked questions
What is NFPrompt's Fear & Greed Index?
NFPrompt's Ruma Fear & Greed Index is currently 9 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 NFPrompt bullish or bearish right now?
NFPrompt's social sentiment is currently bearish, with a sentiment score of 0/100 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 NFPrompt sentiment?
Ruma reads every relevant social post about NFPrompt 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.