#AIImpactOnForex Using AI to Enhance Mean-Reversion Strategies AI can significantly improve mean-reversion trading strategies by offering better signal detection, adaptive parameter tuning, and risk management. Traditional mean-reversion relies on statistical measures like moving averages or Bollinger Bands to predict asset price reversals. AI, particularly machine learning models like random forests, XGBoost, and neural networks, can detect more complex patterns and non-linear relationships in market data. These models can dynamically adjust thresholds, identify regime changes, and reduce false signals by learning from large historical datasets. Reinforcement learning and deep learning can further optimize entry and exit points by continuously improving based on new market conditions. Overall, AI enables mean-reversion strategies to be more robust, adaptive, and profitable across different market environments.