Skip to content

Latest commit

 

History

History
11 lines (8 loc) · 604 Bytes

readme.md

File metadata and controls

11 lines (8 loc) · 604 Bytes

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