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INFINIT (IN) Sentiment & Fear and Greed Index

As of July 11, 2026, INFINIT's Ruma Fear & Greed Index is 15 (Extreme Fear), its social sentiment score is 68/100 (bullish), 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 & Greed15 · Extreme Fear
Sentiment68/100
Mindshare0.00%
Price$0.0493 +5.5%

Latest INFINIT insights

INFINIT Protocol Hacked for $1.8M via LayerZero ExploitJun 30, 2026

The INFINIT protocol was exploited for approximately $1.8 million on BNB Smart Chain (BSC) via a LayerZero cross-chain message forgery attack. The attacker minted and dumped around 9 million $IN tokens, with the transaction recorded on-chain.

Bitget Cold Wallet Accumulates 30% of $IN SupplyJun 30, 2026

Bitget's cold wallet has accumulated over 30% of the circulating supply of $IN since June 10. The accumulation comes ahead of Upbit suspending deposits and withdrawals for proof of reserves on July 1, while a price discrepancy exists between Upbit ($0.16) and Binance ($0.26).

Frequently asked questions

What is INFINIT's Fear & Greed Index?

INFINIT's Ruma Fear & Greed Index is currently 15 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 INFINIT bullish or bearish right now?

INFINIT's social sentiment is currently bullish, with a sentiment score of 68/100 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 INFINIT sentiment?

Ruma reads every relevant social post about INFINIT 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.