Machine Learning Algorithms for Stock Market Prediction

Stock market forecasts are a very important aspect of the financial market. It is important to successfully predict the stock market in order to get maximum profit. This document focuses on applying machine learning algorithms such as Random Forest, Support Vector Machine, KNN, and Logistic Regression to datasets. We evaluate the algorithms by determining performance metrics such as accuracy, recall, precision, and F-Score. Our goal is to identify the best possible algorithm to predict the future development of the stock market. Successful stock market forecasts will have a very positive effect on stock exchange institutes and investors