Gold Price Predicting with Machine Learning Algorithm

Abstract— The article is made on the basis of a study held to find out whether any relation of gold with other particular factors influence its price in the global market. Those factors are specifically SPX, USO, Silver price and Currency pair quotation of the Euro against the US. The price data of almost every working day from January 02 2008 to May 16 2018 were used to conduct the study. Three of the Machine Learning algorithms namely, Decision Tree Regressor, XGB Regressor and Random Forest Regressor, were used in analyzing the set of data. After analyzing the whole data, the best result was obtained by the decision tree regressor and the xgb regressor. So we took xgb for further data model building.