#AIImpactOnForex Predicting Volatility in Currency Markets Using AI Predicting volatility in currency markets is crucial for managing risk and making informed trading decisions. Traditional methods, like GARCH models, rely heavily on historical price data and assume consistent market behavior. Artificial Intelligence (AI), particularly machine learning and deep learning techniques, offers a more dynamic approach. AI models can process large datasets, including macroeconomic indicators, news sentiment, and geopolitical events, to detect complex patterns and predict volatility more accurately. Techniques such as recurrent neural networks (RNNs), support vector machines (SVMs), and ensemble models are commonly used. By continuously learning from new data, AI-driven models can adapt to changing market conditions, offering more responsive and robust volatility forecasts compared to conventional statistical methods.