Utilizing Supervised Machine Learning for Stock Market Analysis

Abstract

The abstract describes an attempt to apply machine learning algorithms to predict future stock prices in the stock market. The paper aims to simplify the complexity of the stock market, which involves various entities such as small ownerships, brokerage corporations, and the banking sector. The motivation for using machine learning is to enhance predictability in this intricate business model.