How A.I. Potential traders Will Reign over Only Deposit Field | Marshall Chang | TEDxBeaconStreetSalon

How A.I. Traders Will Dominate Hedge Fund Industry   | Marshall Chang | TEDxBeaconStreetSalon

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? Listen to A.I. Capital Management sharing their research, a Deep Learning trading agent that over-performs us 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. Learn more at https://www.ted.com/tedx
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19 Antworten auf „How A.I. Potential traders Will Reign over Only Deposit Field | Marshall Chang | TEDxBeaconStreetSalon“

  1. Just another example of a smart man not understanding markets. There have been people making algorithms or holy grails since the start of time, this man will end up like they all did – broke.

  2. will be difficult to get a profitable AI for stocks trading, since it can't learn from papertrading, because its missing out the HFTs which donly start to react when you enter. But forex seems doable

  3. The problem is that the hedge fund industry is already a failure without the assistance of robots. Mediocre annual returns, risks and draw down out of control during tightening of monetary policies.

  4. “If your phone right now can understand your face and recognize who you are why couldn’t it recognize the FX market” I was unsure before but he really lost me there.

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