#CurrencyPairPrediction How the Prediction Process Works 1. Data Collection: Gather and preprocess historical forex data. 2. Feature Engineering: Convert raw data into input features (e.g., moving averages, lagged variables). 3. Training: The neural network learns the relationship between inputs and currency outcomes using past data. 4. Validation and Testing: Model performance is checked against unseen data. 5. Prediction: Once trained, the model forecasts future currency prices or directional movements.