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An improved LSTM technique using three-point moving gradient for stock price forecasting

Everybody desires to see the future. The understanding of the time ahead can create enormous prospects, clout and fortune. For soothsayers who can predict the future financial developments, they are be able to command immense fortune. Therefore, predicting the financial stock market is always a grea...

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Bibliographic Details
Main Authors: Wong, Pee Shoong, Asmai, Siti Azirah, Zulkarnain, Nur Zareen, Tay, Choo Chuan
Format: Article
Language:English
Published: Machine Intelligence Research (MIR) Labs 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26447/2/2.3.1.2.2.%20AN%20IMPROVED%20LSTM%20TECHNIQUE%20USING%20THREE-POINT%20MOVING%20GRADIENT%20FOR%20STOCK%20PRICE%20FORECASTING.PDF
http://eprints.utem.edu.my/id/eprint/26447/
http://www.mirlabs.org/ijcisim/regular_papers_2022/IJCISIM_29.pdf
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http://eprints.utem.edu.my/id/eprint/26447/2/2.3.1.2.2.%20AN%20IMPROVED%20LSTM%20TECHNIQUE%20USING%20THREE-POINT%20MOVING%20GRADIENT%20FOR%20STOCK%20PRICE%20FORECASTING.PDF
http://eprints.utem.edu.my/id/eprint/26447/
http://www.mirlabs.org/ijcisim/regular_papers_2022/IJCISIM_29.pdf

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