Stock Market Analysis using Supervised Machine Learning

Abstract

One of the most intricate and sophisticated forms of trade is the stock market, also referred to as the stock exchange. Small businesses, brokerage firms, and the banking industry all rely on this one entity to generate income and distribute risks; it's a very intricate arrangement. This article discusses utilising machine learning algorithms to anticipate the future stock price on the exchange using open-source libraries and already-existing algorithms in order to make this unstable business model a little more predictable. We'll see if this straightforward implementation yields respectable outcomes. The result is entirely dependent on math and makes numerous axiomatic assumptions that may or may not be true at the time of prediction.