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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/3919
Title: Amazon Stock Price Forecast
Authors: Rai, Deepak
Kumar, Sai Lohith
Bindu, Hima
Parv
Goyal, Ankush
Issue Date: 2023
Publisher: Cyber Tech Publications
Abstract: This work focuses on using the seasonal autoregressive integrated moving average (SARIMA) model to forecast future trends in Amazon stock price. Using time series analysis techniques, past Amazon stock data are processed and used to develop SARIMA models, which are known for their capacity to capture seasons and trends in time series data The program uses a work interface that dead easy to use where individuals can continuously get their stock data and get Amazon stock price forecast based on the developed SARIMA model.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/3919
ISSN: 978-93-5053-902-6
Appears in Collections:Book Chapters_ SCSET

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