Gold-Bitcoin Trading Strategy Based on Time Series Modeling

Abstract

Market traders often earn income by buying and selling assets through market transactions with the goal of maximizing total returns. Since each asset purchased has a certain amount of gain and loss, traders need to develop a trading strategy, which may affect their total profit. In the case of gold and bitcoin, this paper develops an ARIMA daily price forecasting model and a trade strategy model based on price increases to help market traders develop optimal trading strategies for gold and bitcoin.