Stock Market Prediction in Malaysia using Convolutional Neural Network

• Main Author: Nazurah Batrisyia Syaurah, Binti Mohamad Najib
• Format: E-LPTA
• Language: English; English
• Published: Universiti Malaysia Sarawak (UNIMAS) 2019
• Subjects: BF Psychology; H Social Sciences (General)
• Online Access: http://ir.unimas.my/id/eprint/27548/1/Stock%20market%20prediction%20in%20Malaysia%20using%20convolutional%20neural%20network%20%2824%20pgs%29.pdf; http://ir.unimas.my/id/eprint/27548/2/Stock%20market%20prediction%20in%20Malaysia%20using%20convolutional%20neural%20network%20%28fulltext%29.pdf; http://ir.unimas.my/id/eprint/27548/

Stock market is an important element in business as it may contribute to profit or loss in a company. Therefore, a good prediction of the direction of the stock market is crucial in order to avoid a big loss in a company's business. The aim of this study is to obtain higher accuracy of stock m...