In the context of building a recurrent neural network (RNN) for predicting cryptocurrency price movements, the purpose of splitting the balanced data into input (X) and output (Y) lists is to properly structure the data for training and evaluating the RNN model. This process is important for the effective utilization of RNNs in the prediction