This article shows that artificial neural networks can be used to predict foreign exchange rates by analyzing fundamental data like interest rates and gross domestic products. The researchers examined how different inputs affect the accuracy of the predictions. The study found that including fundamental indicators alongside traditional time series data and technical indicators can improve the forecasting capabilities of the model.