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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Python for Trading and Investment

Financial trading is the buying and selling of financial assets. This course will teach you the fundamental of the stock and option markets. In addition, this course will use Python to track the stock market and perform payoff calculation. 

Python has become a preferred choice for trading recently as Python is open-source and all the packages are free for commercial us. If you're familiar with financial trading and know Python, you can get started with basic algorithmic trading in no time. This course will teach you  how to use Python for stock and option trading.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M586

Course Booking

MYR1,000.00

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Introduction to Financial Markets

  • Overview of Financial Markets
  • Financial Instruments
  • Primary and Secondary Markets
  • Financial Intermediaries
  • Tracking Markets
  • Market Participants
  • Types of Markets
  • Import and Analysis Stock Data with Python
  • Historical Volatility Calculation

Topic 2 Compute Option Payoff with Python

  • Long and Short Call Option
  • Long and Short Put Option

Topic 3 Compute Option Strategies Payoff with Python

  • Covered Call Strategy
  • Protective Put Strategy
  • Bull Call Spread Strategy
  • Bear Put Spread Strategy

Course Info

Prerequisite:

Nil

Software Requirement:

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

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Second, Click Application

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5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

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Insert MiCAS Application number

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27-  Complete the declaration form and select a desired officer

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29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

    • Investors
    • Traders

Trainers

Ghazaleh Babanejad: Ghazaleh Babanejad has received her Ph.D from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎ the field of skyline queries over Dynamic and Incomplete databases for her Ph.D. thesis. She is also working ‎on Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎ Mining projects. She also has several international certificates in Practical Machine Learning (John ‎ Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎ University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎ certificates. She has more than 5 years of experience as a lecturer and database administrator.

Ghoncheh Babanejad: Ghoncheh Babanejad is a PhD student at Faculty of Computer Science & Information Technology at Universiti Putra Malaysia. She is working on recommender systems in the field of Skyline evaluation for a group of mobile users for her Ph.D. thesis. She is also working on PHP, HTML, Adobe Photoshop, Cpanel, Rational Rose, MS Visio, Microsoft Project, MySQL, Dream Weaver, Word Press. She received several certificates in Web Site Preliminary Design(Jihad Daneshgahi), Client-Side Web Programming(Jihad Daneshgahi) and MongoDB for DBAs (MongoDB Inc). She has more than 5 years experience in IT Department And Project Control Department of ACP (Amin Chemical Processes) company

Dr. Nouar AlDahoul: Dr. Nouar AlDahoul is an AI researcher and developer with a PHD degree from IIUM Malaysia. She has +7 years of hands-on experience in machine learning including deep and reinforcement learning. She has been working as a researcher in many research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. She has conducted more than 30 classes in Tertiary Malaysia Courses. Her research interests are: Deep learning, Reinforcement learning, computer vision, NLP, Data visualization and analysis, and IOT.

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