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How does MCG’s AI-powered intelligent trading system operate?

By: Binary News Network
November 24, 2025 at 02:04 AM EST

MCG’s AI-powered intelligent trading system is centered around its self-developed MCG-KI exchange platform, constructing a fully automated closed-loop operating mechanism from data input to trade execution. The system first uses a distributed architecture to collect real-time price, trading volume, news sentiment, and macroeconomic data from the global cryptocurrency market, forming a massive dynamic database.

 

Subsequently, built-in machine learning and deep learning models perform multi-dimensional analysis of this data. The system not only identifies historical price patterns but also interprets market sentiment and policy signals through natural language processing technology, predicting short-term price trends and fluctuation ranges. Based on the analysis results, the AI ​​engine automatically generates trading signals and, combined with preset risk preferences and money management rules, calculates the optimal buy/sell timing, position size, and stop-loss/take-profit points.

 

At the execution level, the system connects to major global exchanges and liquidity providers through high-speed interfaces, achieving millisecond-level order execution and minimizing slippage. The entire process requires no manual intervention, ensuring strategy consistency and discipline. Meanwhile, the intelligent risk control module continuously monitors market anomalies and portfolio risks. Once a preset threshold is reached, it immediately triggers circuit breakers, hedging, or liquidation mechanisms.

 

The system’s strategy is overseen by Chief Investment Officer Professor Klaus Peter Hartwig and his team, who regularly backtest the model and optimize parameters to ensure that AI decisions align with real market logic. Through a deep integration of data-driven approaches, algorithmic decision-making, and automated execution, MCG’s AI system achieves efficient, rational, and 24/7 intelligent trading operations.

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