Stock Price Prediction using Machine Learning

Stock Price Preduction using Machine Learning
mbr-4-min
RM299.00

Prerequisite

  • Python Fundamentals for Investment

 

Level

  • Intermediate

 

Accreditation

  • 5 SIDC CPE points
  • 4 FIMM CPD 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

Trainer

Dr. Theang Kok Foo

The trainer is a Certified Public Accountant with over 25 years of experience in the financial sector. A seasoned financial advisor, he has been an auditor (with Ernst & Young, Washington D.C.), member of financial and computer audit teams, and an equity dealer. He is also a mentor for Bank Simpanan Nasional's Micro Credit program. The trainer is a key player in the financial literacy education sector, having conducted numerous financial seminars and workshops on accounting, economics, finance, investment, and portfolio management (including CPE courses) since 2008. He has also served as a guest lecturer at various local colleges and universities and helped candidates prepare for ACCA and Real Estate Licensing Board examination. He 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 has recently completed his PhD

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RM299.00

(SST included)

Includes

  • 5 SIDC CPE points
  • 4 FIMM CPD points