Creditcoin (CTC) Sentiment & Fear and Greed Index
As of July 5, 2026, Creditcoin's Ruma Fear & Greed Index is 15 (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 Creditcoin insights
Creditcoin launched its USC mainnet contract, enabling direct verification of Ethereum transactions without bridges, oracles, or intermediaries. The system uses cryptographic proofs and mathematical checks for trustless cross-chain verification.
Chainlink has announced significant new integrations for its Cross-Chain Interoperability Protocol (CCIP), expanding its ecosystem capabilities. CCIP now integrates with Creditcoin, Neo X, and Tempo, enhancing its cross-chain functionality. This move underscores Chainlink's continuous expansion beyond its core oracle services.
Chainlink has expanded its Cross-Chain Interoperability Protocol (CCIP) and core oracle services to five new blockchain networks. These integrations include Creditcoin, Neo X, Tempo, Ink, and the Robinhood Chain testnet. This strategic move aims to strengthen multi-chain support and enhance broader ecosystem adoption for Chainlink's services.
Frequently asked questions
What is Creditcoin's Fear & Greed Index?
Creditcoin'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 Creditcoin bullish or bearish right now?
Creditcoin'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 Creditcoin sentiment?
Ruma reads every relevant social post about Creditcoin 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.
