Malaysia stock market prediction using artificial intelligence

stock market prediction artificial intelligence

Authors

  • Tan Boon Chuan School of Computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Dr. Vazeerudeen Abdul Hameed
    vazeer@apu.edu.my
    School of Computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Chandra Reka Ramachandiran School of Computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
Vol. 5 No. 1 (2021)
Original Research
January 20, 2026

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It is impossible for an ordinary investor to access and analyze a large amount of data to make decision in which stock to invest. It will consume time, knowledge and experience to analyze a stock value or trend by using traditional approach. Artificial Intelligence technology can process to analyze a huge amount of data for stock market prediction and able to generate much higher efficient and accurate prediction result by using historical and present data. There are many researches have been conducted on stock market prediction, this paper will review various artificial intelligence techniques for different stock markets around the world on the index, the sector, the stock, etc., whereby this paper is helping to identify artificial intelligence technique for future research to predict and support human in making decisions to invest in the Malaysia stock market. Keywords—Digital Transformation, IR4.0, Challenges, Benefits, Implementation, Strategy.