#AIImpactOnForex Self-learning AI agents in Forex strategy development refer to autonomous systems that use machine learning techniques—especially reinforcement learning and deep learning—to create and optimize trading strategies without constant human intervention. These agents learn from vast amounts of historical and real-time forex market data, adapting to changing market conditions by adjusting their strategies over time. They focus on maximizing returns, managing risk, and improving decision-making by continuously evolving based on feedback from their trading performance. Popular approaches include deep reinforcement learning, genetic algorithms, and neural networks, often aiming for strategies that outperform traditional