Stock Market Prediction for Time-series Forecasting using Prophet upon ARIMA

Abstract

Since the beginning, the fundamental goal of man is to make life easy to live. The whole world believes that wealth would make life comfortable and luxurious. One of the most common notion among humans is that one of the best way to make money is to invest in stock markets which are expected to have tremendous results. There is a requirement to develop an intelligent system to perform predictions based on various indicators like fundamental, statistical and technical trends. However, there is no one good predictive model that has been successful to beat the trends in market continuously. Traditionally for time series data, the predictions are in general performed based on past historical data and market trends, historical correlation data and projections can be calculated. Above all said, there is no such system that calculates the predictions based on users selection on investment type and on risk criteria user is willing to take. So in this paper, we tried to demonstrate the technique(s) to get most accurate results.