LSTM-based cross-prediction price model for gold and bitcoin

Abstract

Since the rise of Data Analysis, forecasting of price markets has never stopped and there are numerous forecasting methods, but most of them are only for a single price data.We have chosen bitcoin and gold as the subjects of our study, addressing the multi-objective related prediction problem, explores the volatility relationship between gold and bitcoin to improve its forecasting accuracy, and in doing so, we establishes multiple prediction models,and determines the relationship between prediction accuracy and prediction range.