CNN-LSTM hybrid model for improving bitcoin price prediction results.

• Main Authors: Ferdiansyah, Ferdiansyah, Raja Zahilah, Raja Zahilah, Siti Hajar, Siti Hajar, Deris Stiawan, Deris Stiawan
• Format: Article
• Language: English
• Published: UniMAP Press 2023
• Subjects: T58.6-58.62 Management information systems
• Online Access: http://eprints.utm.my/108561/1/RajaZahilah2023_CNNLSTMHybridModelforImprovingBitcoinPrice.pdf; http://eprints.utm.my/108561/; http://dx.doi.org/10.58915/amci.v12i4.349

LSTM is a promising tool for predicting the stock exchange. Still, when the LSTM Model faces an anomaly problem with a dataset of Bitcoin that has hit more change in value by fluctuation, it can be a problem for producing good evaluation results such as RMSE. This research is an improvement over the...