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Forex direction predictor

Using deep learning to predict the movement (up, down or none) of the forex market. The demo notebook demonstrates how to predict price fluctuations of the EURUSD pair using a 1D-CNN, achieving a 63% accuracy on the test set.

Dependencies

To install the dependencies you will need python>=3.11. If you are on windows you can do: pip install -r requirements-windows.txt (using windows).

Otherwise you can manually install the following packages:

torch torchvision torchaudio numpy pandas matplotlib tqdm scikit-learn pytest ipywidgets jupyterlab plotly

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1D-CNN that predicts the direction of the EURUSD pair.

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