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Accounting & Finance FinTech and Financial Analytics

Certificate for Module (DeFi, Virtual Assets and Algo Trading)
證書(單元 : 去中心化金融、虛擬資產與程式交易)

Course Code
FN166A
Application Code
2370-FN166A

Credit
6
Study mode
Part-time
Start Date
04 Feb 2026 (Wed)
Next intake(s)
Apr 2026
Duration
30 hours
Language
English
Course Fee
Course Fee: HK$10,500 per programme (* course fees are subject to change without prior notice)
Deadline on 23 Jan 2026 (Fri)
Enquiries
2867 8331 / 2867 8424
2861 0278
Apply Now

Accept new applications for Feb 26 intake! There will be practical classes in the computer laboratory.

Highlights

The programme aims to provide students with contemporary knowledge of decentralized finance (DeFi), virtual assets and algorithmic trading (algo trading). It equips students with the ability to read and interpret altcoin whitepapers as a company introduction, understand how these projects position themselves within the blockchain ecosystem, and analyse how their tokenomics support functionality and growth. Students will also use computational tools and software in data analysis, portfolio optimisation, backtesting, algo trading strategies and practical implementation of automated trading systems.
 

Programme Details

On completion of the programme, students should be able to

  1. explain decentralised finance (DeFi), virtual assets, altcoins and their positions within the blockchain ecosystem and tokenomics;
  2. critically analyse an altcoin whitepaper as a company introduction and assess its vision, ecosystem contribution and economic model;
  3. apply computational tools and software for data analysis, backtesting and strategy development; and
  4. discuss the challenges of implementing algorithmic trading (algo trading) for altcoins, including technical, regulatory and market issues.
Application Code 2370-FN166A Apply Online Now
Apply Online Now

Days / Time
  • Tuesday, 6:45pm - 10:00pm
  • Wednesday, 6:45pm - 9:30pm
  • Friday, 6:45pm - 9:30pm/ 6:45pm - 10:00pm
  • Saturday, 10:00am - 12:00pm & 1:00pm - 6:00pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Learning Centre
  • Kowloon West Campus
  • Kowloon East Campus

Modules

Course Content :

(1) Introduction to decentralised finance (DeFi) and virtual assets

  • Overview of DeFi
  • Types of virtual assets
  • DeFi tokens and altcoins
  • Latest developments of virtual assets, real-world assets (RWA) and stablecoins

(2) Whitepaper as a company introduction

  • Purpose of a whitepaper as a “business plan” for blockchain projects
  • Introduction to altcoin projects: mission, vision, and ecosystem roles
  • Case studies: Bitcoin, Ethereum, and selected DeFi altcoins
  • Identifying issues in whitepaper
  • Evaluating credibility, governance, and roadmap commitments

(3) Altcoins in the blockchain ecosystem

  • Positioning of altcoins in layer 1, layer 2, and application layer
  • Utility of altcoins (e.g., governance, payments, collateral, staking)
  • Interoperability between altcoins and blockchain networks
  • Ecosystem facilitation: liquidity provision, DeFi protocols, non-fungible token (NFT) marketplaces, and decentralised autonomous organisations (DAOs)
  • Security and scalability considerations

(4) Tokenomics and economic models

  • Token supply models: fixed, inflationary, deflationary
  • Distribution mechanisms: initial coin offerings (ICOs), initial DEX offerings (IDOs), airdrops, staking rewards
  • Incentive structures for users, validators, and developers
  • Governance tokens vs utility tokens
  • Token velocity, network effects, and adoption metrics
  • Case study: tokenomics of leading DeFi altcoins

(5) Data analysis and valuation of altcoins

  • Introduction to Python and crypto analytics
  • Data sourcing from exchanges, application programming interfaces (APIs), and blockchain explorers
  • On-chain vs off-chain data integration
  • Time series analysis of altcoin performance
  • Metrics for valuation (e.g., network value to transactions (NVT) ratio, staking yields, active addresses)
  • Smart contract activity as an indicator of utility

(6) Investment analysis and strategy formulation

  • Evaluation of altcoin projects via whitepapers, tokenomics, and ecosystem roles
  • Fundamental analysis of altcoin teams, governance, and adoption
  • ESG considerations in tokenised ecosystems
  • Technical analysis indicators for crypto markets
  • Portfolio optimisation for altcoin investments
  • Risk management in volatile markets
  • Quantitative strategies: arbitrage, momentum, mean reversion

(7) Backtesting and algo trading

  • Backtesting frameworks in Python
  • Key performance metrics: Sharpe ratio, drawdown, win/loss ratio
  • Execution algorithms for altcoins: centralised exchange (CEX) vs decentralised exchange (DEX)
  • Automated market maker (AMM) mechanics and liquidity pool modelling
  • Smart contracts for automated trading
  • Machine learning and deep learning for price forecasting
  • Regulatory compliance and token classification (security vs utility)

Assessment method: In-class Exercise + Group Project Presentation

 

Award

Upon successful completion of the programme, students who have passed the assessments with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a "Certificate for Module (Decentralised Finance, Virtual Assets and  Algorithmic Trading)".

Class Details

Timetable

Lecture Date Time
1 4 Feb 26 (Wed) 18:45-21:30
2 6 Feb 26 (Fri) 18:45-21:30
3 11 Feb 26 (Wed) 18:45-21:30
4 13 Feb 26 (Fri) 18:45-21:30
5 21 Feb 26 (Sat) 10:00-18:00
6 25 Feb 26 (Wed) 18:45-21:30
7 27 Feb 26 (Fri) 18:45-21:30
8 3 Mar 26 (Tue) 18:45-22:00
9 6 Mar 26 (Fri) 18:45-22:00

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

Teacher Information

Dr. Simon Yiu

Background

Simon is the IT Department Head of a financial institution in Hong Kong, has handled many FinTech initiatives and projects, such as Algo trading, finance big data analytics, Robo-advisors and so on. Before that, he also worked for an AI, and Machine learning startup as co-founder and CTO which was located at a Hong Kong Science Park and participated in the University-organized Entrepreneurship Center in 2010, focusing on AI, Machine Learning, Big Data analytics and Natural language processing. Furthermore, he has hands-on programming experience in FinTech areas for over 10 years. Simon earned a Doctoral Degree in Business Administration from the City University of Hong Kong and a Master’s Degree in Data Science and Business Statistics from The Chinese University of Hong Kong.

Fee

Application Fee

HK$150

Course Fee
  • Course Fee: HK$10,500 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants should hold an Advanced Diploma, Higher Diploma or Associate Degree awarded by a recognised institution where the language of teaching and assessment is English. Those with a background in business, accounting, finance, economics, mathematics, statistics, science, engineering, IT or computer science would have an advantage.

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

**Please upload copy of HKID and proof of degree while applying online

Apply

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 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 personal information and 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 (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, new and continuing students of award-bearing programmes with available online service, they may also pay their course fees by Online WeChat Pay, Online Alipay or Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.

Notes

  • 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 Enrolment Centres and avoid making cheque payment under this circumstance.

  • 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, FPS or PPS by Internet will be reimbursed by a cheque, and fees paid by credit card will be reimbursed to the credit card account used for payment. 

  • 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.
  • HKU SPACE will not be responsible for any loss of payment, receipt, or personal information 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.
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