#AIImpactOnForex Hybrid AI trading systems represent a synergistic approach, blending the strengths of traditional rule-based algorithms with the adaptive capabilities of machine learning. Rule-based systems offer transparency and allow for the incorporation of established trading principles and expert knowledge. Machine learning components, on the other hand, excel at identifying complex, non-linear patterns in market data and adapting to changing conditions. By integrating these two approaches, hybrid systems aim to achieve a balance between interpretability and predictive power. For instance, a rule-based framework might define the core trading logic, while machine learning models could optimize entry and exit points or dynamically adjust risk parameters within those rules, potentially leading to more robust and profitable trading strategies.