GES and IEEE (HK) CI Chapter Jointly Organize the Second Computational Finance Competition; Application Starts from 6th August

Wan Chai, Hong Kong S.A.R., August 17, 2018 --(PR.com)-- Following the success of last year’s First Computational Finance Competition, the Second Computational Finance Competition (“Competition”) which are jointly organized by Hong Kong based Global eSolutions (HK) Limited (“GES”), a leading financial trading solution provider, and the IEEE (Hong Kong) Computational Intelligence Chapter (“IEEE (HK) CI Chapter”), are now accepting registration from students of local tertiary institutions from 6th August to 5th October 2018.

The organizers will continue to nurture algo trading talents and foster the pursuit of algo trading among academia in Hong Kong by organizing the Competition that allow students to apply their algo trading techniques in daily lives. During the Competition, all participants are required to use the Auton, a trading terminal provided by GES, for algo development, backtesting with historical data as well as virtual trading with live data. Each participant can enroll either as an individual or as a team with no more than 2 team members. Every participant will use algo strategies to trade on all HKD securities which are listed on the Main Board of the Stock Exchange of Hong Kongwith a virtual money of HK$10 million.

Students can register for the Competition from 6th August to 5th October 2018 via the Competition website: www.ges.com.hk/SecondComputationalFinanceCompetition. Through the Competition, students will gain rewarding experience of using a real algo-trade platform to invest, as well as a chance to win fabulous prizes. At the end of the Competition, the top three winning participants with the “Best Overall Return” and “Best Risk-Adjusted Return,” which is the Champion, the First Runner-up and the Second Runner-up in each category will be awarded with shopping vouchers of HK$1,500, HK$1,000 and HK$500 respectively.

Dr. Jean Lai, Chairman of IEEE (HK) CI Chapter, said, “Thanks to the keen supports of the Executive Committee members of the IEEE (HK) CI Chapter and the Computational Finance and Economics Technical Committee ('CFETC') of the Computational Intelligence Society ('CIS'”),and the wonderfulworking experience with GES, the SecondComputational FinanceCompetition will be held again this year. The Competition is certainly one of the most meaningful investment competitions in the academic sector, allowing students to put investment theories into practice and gain the valuable experience ofsimulation trading in the real investment world.”

Mr. Ken So, Senior Quantitative Developer of GES, said, “GES is a Hong Kong-based financial trading solution provider dedicated to the financial technology industry for more than 10 years, and we are one of the pioneers in the development of quantitative finance in Asia. Auton is a true multi-asset trading terminal which supports FX, Bullion, CFDs,Options and Equities. Its built-in algo trading kit allows traders to deploy existing trading strategies or script their own one in the trading terminal. Allowing algo back testing and forward-testing with historical data and live data respectively, Auton helps traders to develop the unique trading strategy that will work best for them. The Competition is definitely a good channel to nurture the next generation of talent in computational finance/algo-trading and promote the development of Fintech in Hong Kong investment market.”

About the Second Computational Finance Competition
The Second Computational Finance Competition is organized by Global eSolutions (HK) Limited (“GES”) and IEEE (Hong Kong) Computational Intelligence Chapter (“IEEE (HK) CI Chapter”), which invite undergraduates and postgraduatesstudents 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 promote the use of computational finance/algo-trading in the area of finance, identify algo trading talents at top universities and boost the technology development in Hong Kong financial market.

About IEEE
The IEEE is the world's largest professional organization dedicated to advancing technological innovation and excellence for the benefit of humanity, with more than 430,000 members in over 160 countries. Through its highly cited publications, conferences, technology standards, and professional and educational activities, IEEE is the trusted voice on a wide variety of areas ranging from aerospace systems, computers, and telecommunications to biomedical engineering, electric power, and consumer electronics. Learn more at http://www.ieee.org.

About GES
Global eSolutions (HK) Limited (“GES”) is a Hong Kong-based financial trading solution provider dedicated to the financial technology industry for more than 10 years, serving customers mainly in Asia Pacific region, such as Hong Kong, Japan, Malaysia, Indonesia and Australia. GES empowers financial institutions with algo-trading capability, advanced risk management and FIX bridging solutions. GES fully covers the needs of the on-floor trading and OTC markets, with value-added services ranging from IT technical support, system integration, bespoke software and network infrastructure development to hosting services.With GES technologies, financial institutions are able to overcome the challenges of risk management, position management, liquidity source and trading across different financial instruments in a single platform. GES’s well established partnering with financial institutions and brokerage firms can fulfill customers’ needs of liquidity and market depth.GES ensures the highest level of certainty and satisfaction through comprehensive industry expertise and a deep-set commitment to customers.

For further information, please visit our website: www.ges.com.hk

For more information, please contact:
Ms. Sammi Li
Global eSolutions (HK) Limited
Tel: +852 3412 3636
Fax: +852 2851 0017
Email: mkt@ges.com.hk
Website: www.ges.com.hk
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Global eSolutions (HK) Limited
Ben Tse
+852 3412 3636
www.ges.com.hk
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