Studying and Forecasting Trends for Cryptocurrencies Using a Machine Learning Approach
University essay from Lunds universitet/Matematik LTH
Abstract: We consider a technique involving Neural Networks in order to try to predict trends for cryptocurrencies such as Bitcoin, Ethereum etc. In that respect the project involves construction, design and training of a deep learning Neural Network based on historical trading data for these cryptocurrencies. Subsequently we apply this trained network in order to better understand its ability to possibly forecast future trading trends.
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