Financial Analytics & Investment – Machine Learning in Stock Market Prediction

AbstractObjective: This paper aims to understand how machine learning can be used to predict stock market trends and improve investment decisions. The main goal is to analyze how financial data, when combined with smart computer models, can help investors make better choices. The study compares traditional forecasting methods with modern machine learning techniques to see which is more accurate and useful. It also looks at the challenges, such as market risks and data quality, and explores future possibilities in using artificial intelligence for stock market prediction.