Competition Ranking
Updated: 19th November 2018
Best Overall Return
| Rank | Name |
|---|---|
| Champion | Chan Ching Hsiang & Chan Ka Yan (The Open University of Hong Kong) |
| 1st Runner-up | Wong Chi Fai (City University of Hong Kong) |
Best Risk-Adjusted Return
| Rank | Name |
|---|---|
| Champion | Wong Chi Fai (City University of Hong Kong) |
| 1st Runner-up | Chan Ching Hsiang & Chan Ka Yan (The Open University of Hong Kong) |
Second Computational Finance Competition is an ideal platform to develop a New Generation of Algo Trading Talents in Hong Kong!
Global eSolutions (HK) Limited (“GES”) and IEEE (Hong Kong) Computational Intelligence Chapter (“IEEE (HK) CI Chapter”) take the lead in organizing the “Second Computational Finance Competition”, which will invite students from renowned universities in Hong Kong to foster the pursuit of algo trading among university students in Hong Kong. It was initiated with the vision to:
- To promote the use of Computational Intelligence in the area of finance
- Identify algo trading talents at top universities
Application Period: 6 August 2018 to 5 October 2018
There are Three stages for the Competition:
Stage 1
(10 Sep to 5 Oct 2018)
(10 Sep to 5 Oct 2018)
Algo Development and Back-testing
Stage 2
(8 Oct to 19 Oct 2018)
(8 Oct to 19 Oct 2018)
Forward-testing of Algo Script
Stage 3
(22 Oct to 16 Nov 2018)
(22 Oct to 16 Nov 2018)
Virtual Trading by Live Data
Participants will GAIN the rewarding EXPERIENCE of using a REAL algo-trading platform to INVEST wisely!
Competition Completed Successfully!