Stock values predictions using deep learning based hybrid models

Stock values predictions using deep learning based hybrid models

Abstract Predicting the correct values of stock prices in fast fluctuating high‐frequency financial data is always a challenging task. A deep learning‐based model for live predictions of stock values is aimed to be developed here. The authors' have proposed two models for different applications...

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Bibliographic Details
Main Authors: Konark Yadav, Milind Yadav, Sandeep Saini
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
stock markets
recurrent neural nets
mean square error methods
economic forecasting
deep learning (artificial intelligence)
financial data processing
Online Access:https://doi.org/10.1049/cit2.12052

Internet

https://doi.org/10.1049/cit2.12052

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