Can Google’s Deepmind predict the future of financial markets? Google has released tensor-flow, an open source software, that provides special types of neural networks that perform well on gene sequencing and speech transcription problems. I show how these networks help us predict the future of financial markets.

Matthew Dixon is an Assistant Professor of Finance and Statistics in the Stuart School of Business. His research focuses on the application of advanced computational techniques to financial applications, especially in the areas of algorithmic trading. Matthew's research is currently funded by Intel Corporation and he has been referenced as a computational finance expert in multiple reputed media outlets and trade shows including the Financial Times. Matthew holds a MEng in Civil Engineering from Imperial College London, a MSc in Parallel and Scientific Computation (with distinction) from the University of Reading, and a PhD in Applied Math from Imperial College.

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