BankrCoin (BNKR) Sentiment & Fear and Greed Index
As of July 5, 2026, BankrCoin's Ruma Fear & Greed Index is 14 (Extreme Fear), its social sentiment score is 72/100 (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
Latest BankrCoin insights
BankrBot ($BNKR) has become the number one revenue-generating application on the Base network. The application achieved this by reportedly generating approximately $470,000 in revenue within the last 24 hours.
The DRB protocol has suffered an exploit, which the post attributes to the inherent risks of exploring new technology. The insight also clarifies that specific entities, including @Grok, @Bankrbot, and @0xDeployer, are not at fault for the incident.
The @bankrbot protocol was reportedly hacked, resulting in $174 million being scrutinized. Funds were partially recovered after an individual named Ilham was convinced to return them. 80% of the recovered funds were sent to Grok, with the remaining 20% given to Ilham as a reward for cooperation, diffusing the situation.
Frequently asked questions
What is BankrCoin's Fear & Greed Index?
BankrCoin's Ruma Fear & Greed Index is currently 14 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 BankrCoin bullish or bearish right now?
BankrCoin's social sentiment is currently bullish, with a sentiment score of 72/100 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 BankrCoin sentiment?
Ruma reads every relevant social post about BankrCoin 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.