Comparative Analysis of Companies Stock Price Prediction Using Time Series Algorithm

Comparative Analysis of Companies Stock Price Prediction Using Time Series Algorithm

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-11
Year of Publication : 2020
Authors : Lakshmana Phaneendra Maguluri, R. Ragupathy
DOI :  10.14445/22315381/IJETT-V68I11P202

Citation 

MLA Style: Lakshmana Phaneendra Maguluri, R. Ragupathy  "Comparative Analysis of Companies Stock Price Prediction Using Time Series Algorithm" International Journal of Engineering Trends and Technology 68.11(2020):9-15. 

APA Style:Lakshmana Phaneendra Maguluri, R. Ragupathy. Comparative Analysis of Companies Stock Price Prediction Using Time Series Algorithm International Journal of Engineering Trends and Technology, 68(11),9-15.

Abstract
As the Company’s financial values change day-by-day with uncertainty, forecasting of the stock market prices is a challenging task. The motive to forecast the stock market prices is to ensure that the investor’s gains profit in what they are investing in. One of the core areas in stock market prediction is time series forecasting by using machine learning algorithms. This paper uses one of the time series prediction models called Auto-Regressive Integrated Moving Average (ARIMA) for future price prediction and forecasting.

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Keywords
Time Series Forecasting, Formatting, ARIMA, Stock Price Prediction, Trend.