Supervised ML for Stock Market Analysis

Abstract

The stock market, often known as the share market, is one of the most intricate and sophisticated ways to do business. Small ownerships, brokerage firms, and the banking industry all rely on this body to generate money and split risks; a complex arrangement. This article, on the other hand, proposes to utilize a machine-learning algorithm to forecast the future stock price for exchange by utilizing open source libraries and pre-existing algorithms to help make this uncertain format of the company a bit more predictable. We'll see whether this simple implementation yields satisfactory results. The conclusion is entirely dependent on numbers and presupposes a number of assumptions that may or may not be true in the actual world, such as the time of day.