#AIImpactOnForex Evaluating Model Accuracy in AI-Based Currency Prediction Evaluating the accuracy of AI models in currency prediction involves assessing how well the model forecasts exchange rate movements compared to actual market outcomes. Common metrics include Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and directional accuracy, which measures how often the model correctly predicts the direction of price changes. Cross-validation techniques help ensure the model generalizes well to unseen data, while backtesting against historical market data reveals performance over different market conditions. Consistent monitoring and retraining are crucial, as currency markets are highly dynamic and models can degrade over time.