#AIImpactOnForex Predictive analytics utilizing neural networks in Forex trading involves employing complex, interconnected layers of artificial neurons to forecast future currency price movements. These neural networks are trained on vast historical datasets, learning intricate patterns and relationships between various market indicators, price action, and even external factors. By identifying these underlying correlations, the trained network can then analyze new, unseen data to generate probabilistic predictions about the direction and potential magnitude of future price changes. Different neural network architectures, such as recurrent neural networks (RNNs) and long short-term memory (LSTM) networks, are particularly well-suited for analyzing sequential time series data like currency prices, aiming to provide traders with insights for making informed trading decisions.