Certificate in Algorithmic Trading

Duration:

16 hours

Medium of Instruction:

Cantonese / English

Overview

Overview

Do you know most of the top money-making hedge funds are doing Algorithmic Trading? The most well known Renaissance Technologies averaged 71.8% annual return from 1994 to mid-2014, outperformed Warren Buffet's Berkshire Hathaway.

 

It's now your turn to do Algo-Trading! It was a game only for institutional but with technology advancement, Algo-Trading is accessible to everyone as technology is no longer a barrier. The only thing you need is knowledge.

 

Why Kaplan?

  • Our professional education programs in finance and accountancy are top-ranked in the U.S., U.K. and Australia. Kaplan's substantial investment in learning science in all our programs underlines our emphasis on improving student outcomes and our focuses on educational performance and results.

     

  • Kaplan in Hong Kong is one of the largest educational institutions in terms of service scope as well as student population. We have more than 140 experienced professionals and dedicated staff, each committed to building futures, one success story at a time. We commit to combining years of classroom-based expertise with access to the most advanced learning platforms and technology.

     

  • Each year in Hong Kong, over 4,000 fresh graduates, bankers and other professionals from the top banks, asset management firms, private equity firms and business schools have trusted us with their future. 

In this practical introductory course, you will learn how to create a strategy that runs automatically that don't need your attention every single minute during market hours.

 

Each session will be hands-on and will contain data driven examples and in-class discussions that are designed to reinforce learning in a practical setting. Our instructor who's an Algorithmic trader will share his personal experience on challenges and traps.

Learning Outcomes

You will be able to develop Algorithmic Trading Strategies using Python Programming Language.

Who Should Attend?

  • Working professionals in the finance, banking, insurance, accounting and professional services
  • Individuals with basic knowledge of Python or recent degree in Computer or Data Science
  • Finance professionals who want to make a move in their career from Finance to FinTech
  • IT professionals from non-finance background
  • IT professionals in banking industry who would like to enhance programming skills
  • People from different industries who would like to switch their career to FinTech
  • Financiers who are trying to create another stream of income

Course Details

TEACHING LANGUAGE
English or Cantonese, with English materials
 

DURATION
16 hours
 

KAPLAN CERTIFICATION
Participants will be issued a certificate of attendance upon completion of the course.

Course Outline

  • Introduction to Algorithmic Trading and its advantages
  • Introduction to Trading Platform and Demo
  • Trading Strategy Development Workflow
  • Source of Trading Ideas
  • Risk Management
  • Evaluate Trading Strategies
  • Pitball of Algorithmic Trading
  • Trading Psychology

Pre-requisite

What You Need for the Course

What to Bring?

  • Mac or PC Laptop with Chrome installed and able to connect to wifi
  • Laptop charger
  • External mouse

 

*If you need to hire a PC, please contact us and we will be happy to refer you to our preferred supplier. Extra cost applies.

Delivery Options (Blended Solutions)

  • In-house customized trainings 
  • Face-to-face classroom delivery (large group, small group or one-on-one) at your premises or Kaplan campus 
  • Virtual classroom delivery (Live-online)
  • Private classes

Contact Us

Talk to our team and learn how Kaplan can help you meet your business objectives - 

 

Name: Ms Rowena Li

Title: Director, Business Development

Tel. : 2116 3183

Email: [email protected]

Salutation
Financial Markets
Accounting
Leadership and Professional Development
Language
IT and Technology
High Education
How did you know about Kaplan?

Clear All

Anytime, anywhere

Contact Us