Stock market predictions using FastRNN-based model

DOI10.1007/978-981-16-6890-6_33zbMath1496.62176OpenAlexW4226315505MaRDI QIDQ2079970

Konark Yadav, Sandeep Saini, Milind Yadav

Publication date: 7 October 2022

Full work available at URL: https://doi.org/10.1007/978-981-16-6890-6_33

zbMATH Keywords

time series forecastingstock price predictionconvolutional neural network (CNN)fast recurrent neural network (FastRNN)root mean square error (RMSE)

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Artificial neural networks and deep learning (68T07)

Uses Software

• prophet

Cites Work

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• Deep learning with long short-term memory networks for financial market predictions
• Gated Orthogonal Recurrent Units: On Learning to Forget
• Forecasting at Scale

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