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Time Series Analysis and Forecasting of Gold Price using ARIMA and LSTM Model

Abstract: Gold is an age-old method of investing money. It is tangible and can be passed on from one generation to another. It is the one form of investment that many people consider very safe to employ, to keep their money safe and easily multiplicative. Investment guides and consultants usually read charts to predict the future price of this commodity. In this research paper, we are making use of Machine Learning models to predict the price of gold based on past prices. The dataset consists of the opening, closing, highest and lowest prices of gold through 7 years, daily. This is a comparative study that highlights the best model, between a classical statistical model ARIMA and a recurrent neural network model LSTM