This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

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Develop and compare neural network models for short-horizon financial time series forecasting using Dukascopy data, with justified feature engineering, hyperparameter tuning and/or early stopping, and evaluation through multiple error metrics and visualisations.