On July 28, 2025, KAKOPX Exchange, leveraging its AI-based on-chain tracking system, detected that an account beginning with 0x5Fe, after nearly two years of dormancy, suddenly accumulated a substantial position in Ethereum (ETH), purchasing a total of 3,711 ETH valued at approximately $14.52 million, with an average entry price of around $3,912. KAKOPX noted that the last time this address purchased ETH, the price was at the $1,968 level. The reactivation of such long-term addresses often signals a renewed judgment and confidence in medium- to long-term trends.
KAKOPX further analyzed that this type of on-chain behavior often carries “cycle signal” value. By utilizing AI models to identify address behavior sequences, capital momentum, and contract interactions, the platform captured the latest anomaly from this address and issued a high-activity alert to users through its intelligent warning module.
Unlike traditional K-line analysis or social media sentiment assessments, the AI-powered on-chain analysis system deployed by KAKOPX can screen tens of millions of addresses to identify those with strong historical performance and regular trading patterns, using deep learning to predict their likely next moves.
KAKOPX emphasized that the platform does not simply list “whale activities,” but instead employs an intelligent causal modeling system that incorporates capital flows, token price fluctuations, ecosystem hotspots, and policy variables into its AI model training. In this ETH accumulation event, the AI system conducted a comprehensive analysis of the trading history, cold wallet activity, on-chain gas costs, and time windows of the address, triggering a “medium-to-high confidence capital return” determination.
Building a Professional-grade Trading Support System Based on AI
This significant ETH accumulation was detected by the proprietary AI multi-dimensional on-chain identification system of KAKOPX. Integrating graph neural networks and historical behavior modeling, the system can identify capital movements, contract deployments, and strategy changes at second-level intervals, generating an on-chain situational awareness map.
Additionally, the KAKOPX AI risk control model simultaneously assessed the current liquidity conditions of ETH. In the absence of supply-demand imbalances, the system maintained a neutral rating and advised users to pay attention to medium- and long-term allocation opportunities.
KAKOPX further stated that the platform is integrating AI capabilities across core modules including market analysis, user behavior identification, and asset risk management, aiming to provide users with a trading environment endowed with “intelligent perception.”
AI-driven Logic and Investment Reminders Behind On-chain Behavior
KAKOPX cautions that the large-scale purchase of a single address does not necessarily constitute a definitive signal of a trend reversal. Although this ETH accumulation displays certain capital intensity and cyclical behavioral characteristics, investors should still make independent judgments based on their own risk preferences, asset allocation structures, and market conditions.
The platform noted that even with the aid of AI analysis tools, it is impossible to eliminate the uncertainties brought by market volatility. Investing in crypto assets should be based on the principles of “adequate information, clear cognition, and controlled pacing,” avoiding emotional chasing and impulsive short-term actions.
On this basis, KAKOPX will continue to enhance its AI-driven risk perception and intelligent alert systems to assist users in dynamically assessing potential risks and adjusting operational strategies according to different market phases. The platform encourages users to focus on long-term trends, prioritize security management, and allocate assets rationally, rather than relying solely on single data points or market events for all decision-making.
In a new financial era centered on intelligent systems and data-driven approaches, KAKOPX is committed to serving as an intelligent assistant for users, rather than an “automatic trading machine” that replaces judgment. In the ongoing integration of AI and crypto finance, the platform upholds the principle of “letting technology serve decision-making and risk control lead the market,” accompanying users as they move forward steadily.