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Accounting & Finance FinTech and Financial Intelligence

Certificate for Module (Technical Analysis and Data Analytics for Stock Investment)
證書(單元 : 股票投資的數據與技術分析)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
Application Code

Study mode
Start Date
02 Jan 2024 (Tue)
Next intake(s)
Mar 2024
30 hours
Course Fee
Course Fee: $9600 per programme (* course fees are subject to change without prior notice)
Deadline on 19 Dec 2023 (Tue)
2867 8331
2861 0278
Apply Now

Today and Upcoming Events

Accepting new applications for Jan 2024 intake! There are practical classes in the computer laboratory.

By visualizing stock prices using computational tools, technical analysis can be performed professionally, and stock trends can be identified efficiently. Our professional lecturer will share analytical techniques to filter stocks based on technical indicators and predict stock price movement for investment decision-making. Welcome to your online application!


The programme aims to provide students with the basic knowledge of stock investment and data analytics, and the essential skills in analysing trends and patterns of stock prices using technical analysis. The programme illustrates techniques of web scraping and data wrangling of stock price data using computational tools. It also discusses technical analysis charts using data visualization. Students can learn how to analyse stock price trends and predict stock price movement to support investment decision-making through practical classes in the computer laboratory.


Programme Details

On completion of the programme, students should be able to

  1. explain the principles of technical analysis and data analytics for stock investment;
  2. analyse patterns on technical analysis charts with the use of technical indicators;
  3. apply computational tools to perform data wrangling, data visualization, statistical analysis and trend prediction of stock prices; and
  4. discuss data-driven decision making and evaluate stock investment performance


Application Code 2165-FN093A Apply Online Now
Apply Online Now

Days / Time
  • Tue, Fri, 7:00pm - 10:00pm
  • 30 hours per programme
  • Kowloon East Campus



(1) Introduction to technical analysis, data analytics and stock investment  

  • Introduction to data analytics and computational tools
  • Basic analysis of price data for stock investment
  • Principles and assumptions of technical analysis
  • Linkages between technical analysis and behavioral finance
  • Comparison of technical analysis and fundamental analysis for stock investment

(2) Technical analysis and descriptive analytics for stock investment

  • Sources of stock prices and techniques of web scrapping
  • Development of stock price datasets and application of descriptive analytics
  • Data wrangling of stock prices using computational tools
  • Comprehensive stock selection with common filters on price change, turnover, moving average prices and range of technical indicator values
  • Application of technical analysis charts and technical indicators: candlestick charts, Bollinger Bands, MACD curves
  • Visual analytics for stock investment (e.g., price trend in motion)

(3) Stock investment and predictive analytics

  • Overview of stock investment strategies and data-driven decision making
  • Smoothing of stock price trend to facilitate price movement prediction
  • Predictive analytics and stock price analysis
  • Analysis of stock investment by sectors and visualization of investment dashboard
  • Measurement of accuracy and investment performance evaluation

Assessment method: Two in-class exercise + Group Project Presentation

Upon successful completion of the programme, students who have passed the final examination with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a Certificate for Module (Technical Analysis and Data Analytics for Stock Investment).


(1) Mr W. C. Chan

Mr Chan, FRM, is currently a consultant and trainer at a Big Data Consultancy Services Company. He is very professional in teaching big data analytics and data automation for business. He possesses rich experience in financial risk management, information technology and data science and has worked as an IT Manager for over a decade. He is strong in cloud-based solutions, big data technology, data mining and machine learning. Mr Chan has delivered training in data science areas, covering R, machine learning, statistics, database programming, AWS cloud architecture and SAS programming for IT professionals and university graduates for over 2 years. He worked as the Head of BI Data Analytics and R&D Team in Li & Fung Group Company, GBG Asia (HK) Limited, IDS Group Ltd. & LF Asia and so on, devoting himself to IT development and project management.

Mr Chan has obtained a Bachelor of Science Degree in Mathematics from The Chinese University of Hong Kong as well as three Master's Degrees, namely, Risk Management Science from The Chinese University of Hong Kong, Quantitative Analysis for Business from the City University of Hong Kong and Industrial Logistics Systems from The Hong Kong Polytechnic University.

Class Details

Lecure Date Time
1 2 Jan 24 (Tue) 19:00-22:00
2 5 Jan 24 (Fri) 19:00-22:00
3 9 Jan 24 (Tue) 19:00-22:00
4 12 Jan 24 (Fri) 19:00-22:00
5 16 Jan 24 (Tue) 19:00-22:00
6 19 Jan 24 (Fri) 19:00-22:00
7 23 Jan 24 (Tue) 19:00-22:00
8 26 Jan 24 (Fri) 19:00-22:00
9 30 Jan 24 (Tue) 19:00-22:00
10 2 Feb 24 (Fri) 19:00-22:00


Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.



Entry Requirements

Applicants should hold an Advanced Diploma, a Higher Diploma or an Associate Degree awarded by a recognised institution. Those with economics, finance, business, IT or computer science background are preferred.

Applicants with other equivalent qualifications will be considered on individual merit.


Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee: $9600 per programme (* course fees are subject to change without prior notice)


  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Technical Analysis and Data Analytics for Stock Investment)
證書(單元 : 股票投資的數據與技術分析)
COURSE CODE 33C151243 FEES $9,600 ENQUIRY 2867-8331
Continuing Education Fund Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.

Certificate for Module (Technical Analysis and Data Analytics for Stock Investment)

  • This course is recognised under the Qualifications Framework (QF Level [5])


Online Application Apply Now

Application Form Download Application Form

Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and the applicant’s name.. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying  “Course Application” on the envelope.  HKU SPACE will not be responsible for any loss of payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (course enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, continuing students of award-bearing programmes, if their programmes offer online service, may also pay their course fees by Online WeChat Pay, Online Alipay and Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.


  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolement Centres and avoid making cheque payment under this circustance.
  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder's credit card account.
  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to "HKU SPACE" to any of our enrolment centres.