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

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...

Full description

Bibliographic Details
Main Authors: Sunki Asha, SatyaKumar C., Surya Narayana G., Koppera Vinith, Hakeem Manish
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:MATEC Web of Conferences
Subjects:
arima
lstm
fb prophet
stock market
forecasting
mse
rmse
model
prediction.
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01163.pdf

Internet

https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01163.pdf

Similar Items