RUMA
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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

Telcoin (TEL) Sentiment & Fear and Greed Index

As of July 5, 2026, Telcoin's Ruma Fear & Greed Index is 20 (Extreme Fear), its social sentiment score is 44/100 (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

Fear & Greed20 · Extreme Fear
Sentiment44/100
Mindshare0.00%
Price$0.0023 -2.5%

Latest Telcoin insights

Telcoin Mainnet Nears Launch with 12 Operators TestingJun 23, 2026

Telcoin's mainnet launch is approaching as its Adiri testnet enters the final preparation phase. The testnet is now stable, allowing 12 mobile network operators to test the infrastructure. This marks a milestone toward full network deployment.

Telcoin Opens US Bank Accounts Tied to eUSD StablecoinJun 22, 2026

Telcoin launched eUSD bank accounts for US residents through its Digital Asset Bank, integrated with its stablecoin. The feature is available in version 5 of the Telcoin wallet, letting users open US accounts linked to their eUSD balance.

Frequently asked questions

What is Telcoin's Fear & Greed Index?

Telcoin's Ruma Fear & Greed Index is currently 20 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 Telcoin bullish or bearish right now?

Telcoin's social sentiment is currently mixed, with a sentiment score of 44/100 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 Telcoin sentiment?

Ruma reads every relevant social post about Telcoin 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.