Euclidean has spent the last year working on a thorough investigation of the application of deep learning techniques to long-term investing. One outcome of this process is a peer reviewed paper that will be published this December in the proceedings of the Time Series Workshop at the 2017 Neural Information Processing Systems conference. This paper was a collaborative effort between Euclidean and Zachary Lipton, currently a scientist at Amazon AI and assistant professor at Carnegie Mellon University. [dalio] A Quick Summary In this paper, we introduce how we use deep learning techniques to predict future company fundamental data, such as…
Research On Applying Deep Learning To Long-Term Investing
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