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This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. 
Upto 98.7% accuracy, but let me tell you it’s not enough to generate...

CryptoAITrader

This contains bactesting scripts for BTC price prediction.

Different approaches used here:

  • 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).

Usage

Simply cd into the respective folder and run .py scripts

Contact

If you have any issue while running the scripts please post an issue. For any other further questions please contact Sahil at [email protected].