Stock trend behavior prediction using machine learning techniques and trading simulation.

• Main Authors: Sjarif, Nilam Nur Amir, Liau, Sheau Chang, Ten Wong, Doris Hooi
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2022
• Subjects: HB Economic Theory; HB615-715 Entrepreneurship. Risk and uncertainty. Property
• Online Access: http://eprints.utm.my/104588/1/LiauSheauChangNilamNurDorisWongHooiTen2022_StockTrendBehaviorPredictionUsingMachine.pdf; http://eprints.utm.my/104588/; https://oiji.utm.my/index.php/oiji/article/view/178/131

Due to the choppy fluctuates and uncertainties in the share market, it has been a challenge for financial institution or even investors to be definite with the stock trend. The aim of the paper is to scrutinize different algorithms in data mining to identify the trend of the stock price movement. Th...