Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
stat_1: This variable likely contains the backtesting statistics generated from keras.models import save_model # Define filename with specific details filename = f"./models/transformer_model_55sl_55tp_eth_15m_may_13th_ShRa_{round(stat_1['Sharpe Ratio'],2)}.keras" # Save the model using the filename