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Join Lucena's CEO Erez Katz and learn about an innovative approach to forecasting stock prices using image representation of timeseries data.
Image recognition, hand writing recognition and speech recognition are all examples of computer vision applications used daily with uncanny accuracy in the real world. The concept behind deep learning is surprisingly easy to understand.
Through thousands of iterations of trial and error, artificial neural networks are able to classify characteristics of images and recognize new images carrying the same characteristics.
The question remains: Can the same concept apply to time-series forecasting in Finance?
Find out how alternative data in conjunction with deep learning are used to predict assets' price actions. No deep learning or quantitative experience required.