Time series forecasting of stock market using ARIMA, LSTM and FB prophet

Considering turbulent character, predicting the future stocks of a company is a difficult endeavor. The goal of this study is to analyze the performance of three widely used forecasting methods: ARIMA, LSTM, and FBProphet. ARIMA is a time series data statistical model that captures linear relationsh...

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Bibliografiske detaljer

Principais autores:	Sunki Asha, SatyaKumar C., Surya Narayana G., Koppera Vinith, Hakeem Manish
Format:	Artigo
Sprog:	Inglês
Udgivet:	EDP Sciences 2024-01-01
Serier:	MATEC Web of Conferences
Fag:	arima lstm fb prophet stock market forecasting mse rmse model prediction.
Online adgang:	https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01163.pdf
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