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GTC ON-DEMAND

Finance
Presentation
Media
AI and Deep Learning in Trading
Abstract:

We'll talk about how artificial intelligence has led to market-leading innovation in trading and the huge opportunity of using deep learning in trading today. There are three dominant trades: fast information extraction ("speed trade"), trade construction ("stat arb"), and prediction ("market timing"). AI has been very successful in all three aspects. We have been key innovators in the speed trade, having started with a $10,000 risk limit and, over the last 10 years, making more than $1.4 billion in profits. The reason is a purist adherence to AI. There is a huge opportunity for using deep learning in the prediction part of the trade, which is not latency sensitive and is mostly about high accuracy. Our mission is to make investing a science, a research-driven utility, and not a competition or a game that it is today. Deep learning has had a lot of success in bringing method to social science settings. We believe over the next five to 10 years that every trading operation will become deep learning based. However, at this time there is a lot of opportunity for innovation using deep learning in trading.

 
Topics:
Finance, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7592
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