#AIImpactOnForex Bayesian Networks (BNs) in forex market prediction are probabilistic models used to represent the relationships between different variables in the market, such as economic indicators, political events, and currency prices. They use conditional dependencies to model uncertainty and update predictions as new information becomes available. In the context of forex, BNs help forecast currency price movements by considering the impact of various interconnected factors and adjusting predictions based on observed data. These models are particularly useful for handling uncertainty and complex relationships, enabling more accurate and flexible predictions in dynamic market conditions.