We’ve seen fully automated bot beats us in Go, one-on-one Poker and Dota II, now what’s going to happen for trading financial markets?

Watch Marshall Chang of A.I. Capital Management sharing their research on a Deep Learning trading agent that over-performs humans in trading FX markets.

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 a passion for machine learning and expertise in programming, striving to build the first game-changing A.I. trading system to disrupt the markets.

He has a strong passion for quantitative trading and machine learning and started AI Capital Management in September 2016. His 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.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community.