The two co-founders, Marshall Chang and Duncan Wong are Brandeis University graduates of class 2016. Both with strong passion for quantitative trading and machine learning, they started working on this project since September 2016.
Their inspiration came from Google DeepMind's AlphaGo project, which is a Deep Learning agent that beats human Go world champions. Go, as a game with complexity at a number more than the atom in the universe, is arguably as hard as or even harder than trading financial markets, which they believe is the next game to be solved with Artificial Intelligence.
Marshall has been trading FX markets for 5 years. As a Master in Finance graduate from Brandeis International Business school, he combines his insight in financial markets with passion for machine learning and expertise in programming, striving to build the first game changing A.I. trading system to disrupt the markets.
Duncan has been developing and trading in a proprietary trading firm in Hong Kong for two years. With an average 30% annual return from his list of quantitative strategies, he decides to apply his expertise in A.I.C.M's exciting projects. His expertise in trading operation is great asset to apply autonomous A.I. in real markets.