Trading Strategy using Reinforcement learning

Over the last two decades trading has seen a remarkable evolution from open-outcry in the Wall Street pits to screen trading all the way to current automation and high-frequency trading (HFT). The success of machine learning and artificial intelligence (AI) seems like natural progression for the evolution of trading. This talk will present a glimpse of the applications of machine learning in autonomous trading systems and provide some practical examples where reinforcement learning is used for devising trading strategies.

About the Speaker:
Dr. Thomas Starke(CEO, AAA Quants) has a PhD. In physics and is tremendously interested in Mathematical modeling and machine learning in Financial markets. He has previously lectured computer simulation at Oxford University and lead strategic research projects for Rolls-Royce Plc.

There are no real pre-requisites for this talk. It should be accessible to anyone with a general familiarity with the technology industry and the internet.

PARTICIPATION IS FREE! REGISTER AT https://techjam.org (https://techjam.org)