Stock Price Forecasting using the Machine Learning Based on the Historical Stock Prices

Abstract

Forecasting stock price is an imperative financial subject matter that has involved researchers’ attention for numerous years. The successful stock price forecasting helps to profit the company or individual otherwise it makes the problem of loss. Stock forecasting involves an assumption that basic information publicly accessible in the past has some predictive relationships to the future stock returns. This proposed research work tries to help the company and investors in the stock market to come to a decision for better timing for buying or selling stocks based on the information extracted from the historical prices of such stocks.