Impacting of COVID-19 on Stock Market Exchange using ML

This study analyses the impact of COVID-19 pandemic on stock market exchange by using Machine Learning (ML) techniques. The main aim of this study is to understand how the crisis has influenced stock prices and market dynamics. This study proposes a comprehensive methodology to analyse extensive datasets, select relevant machine learning algorithms, and carefully analyse various features and variables. The findings highlight the key trends and patterns on how machine learning models are predicting market movements during the times of crisis. The research implications offer valuable perspectives for investors, policymakers, and researchers. Moreover, this study not only contributes to the understanding of the complex relationship between COVID-19 and stock market behavior but also highlights the efficacy of Machine Learning (ML) in visualizing complex financial dynamics.