Gold Price Prediction
Liyan Susan Kurian, Merin Chacko · Zenodo (CERN European Organization for Nuclear Research) · 2022
Abstract—Gold is often used by investors as a barrier against inflation or adverse economic times. As a result, it is critical for investors to be able to accurately estimate gold prices. This article is based on a study of gold price prediction by relationship between gold price and selected factors influencing it , namely date, stock value, current gold price ,united state oil price, current silver price, currency medium(EUR/USD) using Colab by random forest regression algorithm. Comparing and Analyze R squared error graph and mean_absolute_error, and with linear regression algorithm. Monthly price data for the period January 2008 to May 2018 was used for the study. Two machine learning algorithms random forest regression and linear regression were used in analyzing these data. Random forest regression, on the other hand, has been found to have greater overall prediction accuracy.