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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Bibliografski detalji
Glavni autori: Konark Yadav, Milind Yadav, Sandeep Saini
Format: Članak
Jezik:English
Izdano: Wiley 2022-03-01
Serija:CAAI Transactions on Intelligence Technology
Teme:
stock markets
recurrent neural nets
mean square error methods
economic forecasting
deep learning (artificial intelligence)
financial data processing
Online pristup:https://doi.org/10.1049/cit2.12052

Internet

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

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