Paper Title
Stock Price Prediction Using Machine Learning

Abstract
Abstract - One of the most challenging and complex ways to do business is through the stock market. This body is used by small enterprises, brokerage firms, and the financial industry to earn revenue and split risks; it's a complicated idea. This study, on the other hand, proposes to employ a machine-learning algorithm to anticipate future stock prices for exchange by combining open-source libraries and pre-existing algorithms to aid with the unpredictable nature of this business model making it more predictable. We'll see how this simple implementation provides reasonable results. The outcome is entirely reliant on numbers, and it is predicated on a number of axioms that might or might not hold true in the real world, such as the forecast time. Keywords - BASICS, Data Analysis, Fundamental, Implementation, Stock Market, LSTM, Machine Learning Algorithm.