A FUSION MODEL FOR STOCK MARKET PREDICTION USING PROPHET AND LONG SHORT-TERM MEMORY NEURAL NETWORKS

A FUSION MODEL FOR STOCK MARKET PREDICTION USING PROPHET AND LONG SHORT-TERM MEMORY NEURAL NETWORKS

Predicting the stock market can be difficult because of its inherent volatility and complexity. Machine learning approaches have demonstrated potential in identifying patterns and trends in financial data, enabling precise prediction-making in recent times. In this work, we combine the advantages of...

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Bibliographic Details
Main Authors: Shruti Mishra, Manjunathan N, Parangat Singh, Sandeep Kumar Satapathy, Sung-Bae Cho, Sachi Nandan Mohanty
Format: Article
Language:English
Published: University of Kragujevac 2025-03-01
Series:Proceedings on Engineering Sciences
Subjects:
lstm
prophet regression
rmse mse
mae
Online Access:https://pesjournal.net/journal/v7-n1/64.pdf
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