Stock Price Prediction using Machine Learning

Stock Price Preduction using Machine Learning


  • Python Fundamentals for Investment



  • Intermediate



  • 5 SIDC CPE points


ICF Competency Type / Title / Level

  • Functional – Technical / Technical Analysis / Level 2


Learning Outcome

  • Demonstrate a good understanding of the basic concepts of machine learning.
  • Demonstrate the ability to creating a stock price prediction model using LSTM.
  • Demonstrate the ability to fine tune a LSTM stock price prediction model.
  • Demonstrate the ability to implement the LSTM stock price prediction model.


Course Synopsis

The stock market is known for its extreme complexity and volatility, and people are always looking for an accurate and effective way to guide stock trading. Machine learning has found its applications in many interesting fields over these years and predicting stock price movement is one of them.

The purpose of this course is for you to learn how to develop your own stock price prediction model using a machine learning technique called Long Short-Term Memory. This course is designed from the perspective of investing professionals with minimal computer programming experienced. It will guide you through the process of creating a machine learning model, fine tuning the model and implementing it in a practical environment.

Course Content

Total learning: 19 lessons / 1 quiz Time: 75 minutes
  • Downloadable Notes  0/2

    • 1.1
    • 1.2
  • Stock Price Prediction Using Machine Learning  0/16

    • 2.1
    • 2.2
    • 2.3
    • 2.4
    • 2.5
    • 2.6
    • 2.7
    • 2.8
    • 2.9
    • 2.10
    • 2.11
    • 2.12
    • 2.13
    • 2.14
    • 2.15
    • 2.16
  • Conclusion  0/1

    • 3.1
  • Summative Assessment  0/1

    • Quiz4.1


Theang Kok Foo

Kok Foo is a Certified Public Accountant in the state of California, U.S.A with over 25 years of experience in the financial sector. He is a seasoned financial advisor who started his career as an auditor with Ernst & Young in Washington, D.C. where he was a member of the financial audit and computer audit teams.  He joined the investment industry as an equity dealer upon his return to Malaysia in the early 1990s.   In 2003, Kok Foo was appointed as a mentor by Bank Simpanan Nasional for its Micro Credit program.  He has been a key player in the financial literacy education sector, having conducted numerous financial seminars and workshops, specifically in the areas of accounting, finance and investment since 2008. He conducts CPE classes regularly on topics relating to the economy, capital market, portfolio management and financial analysis. In addition, he has also served as guest lecturer at various local colleges and universities and helped in preparing candidates for ACCA and Real Estate Licensing Board examination.  Kok Foo has a Bachelor of Science in Accounting from the University of Louisiana and a Master of Science in Accounting from the University of Delaware. He is currently pursuing his PhD.


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  • 5 SIDC CPE Points