Two Innovative Projects Win Awards from FinTech Hackathons

Media Release

The rapid growth of science and technology boosts financial services around the globe.  Teams from Department of Systems Engineering and Engineering Management have won the Championship in the Bank of China (Hong Kong) (BOCHK) FinTech Hackathon and received First runner-up in the UHackFin, organised by the Hong Kong University of Science and Technology (HKUST).  The team formed by Dr. Gabriel Fung and Dr. Keith Wong from the Department of Systems Engineering and Engineering Management proposed a new platform named ‘A.I. Stock Analyser’ that digests huge amounts of market information and provides personalised stock analysis to meet the rising demands of investors.  The other team, ‘Expeditioner’, formed by students, focused on the past performance of initial coin offering (ICO) for improving the future of financial services. 

A.I. Stock Analyser

The team ‘Lab Viso’, included Dr. Gabriel Fung, lecturer of SEEM and research fellow of the Key Laboratory on High Confidence Software Technologies (Sub-Lab, CUHK), Ministry of Education, and Dr. Keith Wong, lecturer of SEEM, won the Championship in the ‘FinTech Group’ of the BOCHK FinTech Hackathon in March 2018.  The challenge theme was ‘Future Bank and AI’.  Participants were required to propose a cutting-edge investment application to equip investors with customised analysis and information, and seize investment opportunities according to the customers’ risk attitudes, financial situation and investment experience. 

‘The analysis from current online stock investment platforms are quite limited. They only provide general information of a stock in the market, such as the overall trading volume, the number of investors, etc., but lack of customised information, such as the investment preference of people with similar risk appetite on particular stock. Our proposed solution uses artificial intelligence to analyse the financial market in real-time. It enables banks or financial institutions to launch personalised investment advices to their investors so as to improve service level, bring better investment opportunities for investors and bring revolutionary innovation to fintech. This will further enhance the competitiveness of Hong Kong's financial industry,’ said Dr. Gabriel Fung. In addition, there has been discrepancy in analysis and forecasting between different stockbrokers. The team has therefore addressed the discrepancy and established a new platform to scientifically analyse the most recent five-year broker reports using big data, machine learning and natural language processing (NLP).  The platform can also customise investment solutions for every customer, based on their own risk appetite and investment experiences. This way, customers will not have to spend a long time observing the daily trading volume and the huge amount of inconsistent market information. With this assistive analyser, they are able to make investment decisions rapidly and efficiently. The winning team just applied Cyberport Incubation Programme, targeting to launch this application in the near future. 

A.I. Evaluation of ICO

Another team, ‘Expeditioner’, composed of four engineering students, received the First runner-up in the UHackFin – a FinTech Hackathon organised by HKUST last year. There were a total of 27 teams competing.  Participants were required to propose an innovative solution for improving financial services in the future, within 24 hours.  The CUHK team proposed a new platform ‘Icovisor’ for evaluating the performance of initial coin offering (ICO). ICO is a fundraising mechanism offered to investors in exchange for cryptocurrency, such as bitcoin or ethereum, to fund projects for development and operation. Its concept is similar to an initial public offering (IPO), which means issuing shares for financing from the stock market. However, investors easily suffered losses because of insufficient understanding of ICO and the absence of clear guidelines from the financial regulatory bodies and legislation. 

In view of this, ‘Icovisor’ is designed to generate detailed analysis regarding the past performance of each ICO to help investors make wiser choices.  The use of the latest technologies like big data, machine learning and natural language processing (NLP) has been recognised by the judging panel. Given the high potential for its application, the winning team is planning to apply for the Cyberport Creative Micro Fund to further develop this proposal.