Artificial Intelligence and Communication Technologies
Designing an Interface to Forecast Stock Close Price Using ARIMA
Authors: Shivdutt Dixit, Manoj Kumar Ahirwar, Damam Saketnath and Navneet Kaur
Publishing Date: 29-03-2023
ISBN: 978-81-955020-5-9
Abstract
Stock market prediction involves a great effect of the current market trend on the price. It is thus necessary to create a model that efficiently identifies the market trend and predicts the values with high consistency and accuracy. This paper focuses on designing a system that uses the ARIMA model to predict the values. The python flask API has been used to design the web application and tkinter API has been used to design the GUI interface. To fetch the live market data nse2r library of R and nsetools library of python has been used to fetch the past market data for a period of six years.
Keywords
ARIMA, stock prediction, NSE, flask, tkinter, financial forecasting, stock analysis, regression analysis, system design, short-term prediction
Cite as
Shivdutt Dixit, Manoj Kumar Ahirwar, Damam Saketnath and Navneet Kaur, "Designing an Interface to Forecast Stock Close Price Using ARIMA", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 879-884. https://doi.org/10.52458/978-81-955020-5-9-83