Methods for Gold Price Prediction Regarding Pandemics and News

Abstract

Abstract : Forecasting the price of gold on the stock market is a difficult assignment that can have substantial repercussions for investors and experts of financial markets. The accuracy and efficiency of financial time series forecasting has seen a revolutionary change in recent years as a result of the incorporation of machine learning (ML), deep learning (DL), sentiment analysis, and a wide range of other elements. This research seeks to give a thorough and state-of-the-art examination of stock market price predictions by combining a variety of methodologies. These methodologies include ML and DL approaches, sentiment analysis, and external events such as pandemics, conflicts, and news..