Data Reduction in Preparation for Lightweight Machine Learning: Applied in Foreign Exchange Tradingby@paul-arssov
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Data Reduction in Preparation for Lightweight Machine Learning: Applied in Foreign Exchange Trading

by paul arssov4mFebruary 16th, 2020
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Foreign Exchange (ForEx) is a global financial market composed of 4 exchanges located worldwide n - New York, London, Sydney, and Tokyo. There are in total of around 125 different trading items in the ForEx market. The main beneficiaries and drivers of the current state of the art data science and machine learning are the cloud providers who sell GPU/TPU hours and/or bill per 'container' and are not interested in changing the existing status-quo. I am proposing and then implementing the following ways of data reduction.

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