"AI can process massive onchain data sets instantly, flagging transactions that surpass predefined thresholds. Connecting to a blockchain API allows real-time monitoring of high-value transactions to create a personalized whale feed. Clustering algorithms group wallets by behavioral patterns, highlighting accumulation, distribution or exchange activity. A phased AI strategy, from monitoring to automated execution, can give traders a structured edge ahead of market reactions."
"Big players, also known as crypto whales, can make or break a token in minutes, and knowing their moves before the masses do can be a game-changer. In August 2025 alone, a Bitcoin whale's sale of 24,000 Bitcoin (BTC), valued at almost $2.7 billion, caused a flash fall in the cryptocurrency markets. In just a few minutes, the crash liquidated over $500 million in leveraged bets."
AI can process massive onchain datasets instantly to flag transactions above predefined thresholds and create personalized whale feeds via blockchain APIs. Clustering algorithms group wallets by behavioral patterns to highlight accumulation, distribution, or exchange activity. A phased AI strategy can progress from real-time monitoring and anomaly detection to predictive modeling and automated execution, giving traders structured advantages ahead of market reactions. Large whale moves can trigger rapid market crashes and liquidations, as evidenced by a Bitcoin whale sale of 24,000 BTC in August 2025 that caused a flash fall and over $500 million in liquidated leveraged bets. Traders can hedge, adjust exposure, or enter strategically when whale signals appear.
Read at cointelegraph.com
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