Unveiling Market Sentiments: A Comprehensive Analysis of Stock Market Responses to Diverse News Events Using Data Mining Techniques

In modern economics, one of the most talked-about subjects is stock market volatility. Numerous factors have a significant daily impact on the stock market. This study aims to determine the effects of various news events, such as interest rate hikes, inflation rate announcements, stock analyst rating changes, macroeconomic shifts, earnings reports, and so on. In order to do that, we take into account a number of significant corporations (such as AAPL, AMD, AMZN, GOOGL, INTC, META, MSFT, NFLX, NVDA, SHOP, and TSLA), compile historical stock data for these businesses, and connect it with various kinds of news events. The evaluation's findings indicate that various news sources have distinct effects on the stock prices of various companies. The outcomes show how data mining methods can be used to carry out an extensive analysis on stock market responses to diverse news events. Specifically, it unveils interesting market sentiments.