Can machine learning transform trading strategies in financial institutions?

Over the past two decades, trading in financial instruments has seen a remarkable evolution from open outcry trading floors to on-screen trade booking and execution all the way to algorithmic and high-frequency trading. The success of machine learning and artificial intelligence (AI) seems like a natural progression for the evolution of trading. With that in mind, this article explores some of the practical examples where machine learning is already being used today in financial institutions, and the challenges in building intelligent autonomous trading systems.

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Links to Relevant Books

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