This contains bactesting scripts for BTC price prediction.
-
Retraining: Retraining the model w.r.t. the new dataset(moving window).
-
NN2: A second neural net that predicts the accuracy of the first neural net. It was surprising to see the effictiveness of the second NN, as it reduced bad trades by 50-60%.
-
Pattern training: Identifying similar patterns accross different price ranges.
-
Long/Short prediction: Instead of predicting the price this model focuses on predicting market direction(bullish/bearish).
Simply cd into the respective folder and run .py scripts
If you have any issue while running the scripts please post an issue. For any other further questions please contact Sahil at [email protected].