Research On Applying Deep Learning To Long-Term Investing

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.

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A Quick Summary

In this paper, we introduce how we use deep learning techniques to predict future company fundamental data, such as earnings, revenue, and debt, from past fundamental data.  We also...