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Fear and Greed Index

SENTIMENT:

KOL CALLS

Long/Short Calls

MINDSHARE:

Intelligence

Emotions

Social Momentum

FEED:

Cultiness Index

Followers

Volume ($)

Volatility

Mcap vs BTC

Sentiment Timeframes

Quickswap (QUICK) Sentiment & Fear and Greed Index

As of July 12, 2026, Quickswap's Ruma Fear & Greed Index is 24 (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

Fear & Greed24 · Fear
Sentiment0/100
Mindshare0.00%
Price$0.0076 -0.8%

Latest Quickswap insights

Binance Warns on Five Tokens with Monitoring TagsApr 30, 2026

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 Quickswap's Fear & Greed Index?

Quickswap's Ruma Fear & Greed Index is currently 24 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 Quickswap bullish or bearish right now?

Quickswap'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 Quickswap sentiment?

Ruma reads every relevant social post about Quickswap 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.