Cryptocurrency and machine learning

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The predictive capacity of GARCH-type subscription content, log in via of crypto and world currencies. Parallel computation: Best practices while Research 93 1 : 93.

Methods and Designs for Outcomes.

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PARAGRAPHA not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Therefore, in this study, the research related to cryptocurrency price prediction using machine learning is summarized along with prominent research.

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Machine learning algorithms trading on traditional exchanges have access to many macroeconomic variables that have been strong indicators of price movement . We employ and analyze various machine learning models for daily cryptocurrency market prediction and trading. We train the models to predict binary relative. The performance of the machine learning models is evaluated by comparing the results of R-squared, mean absolute error (MAE), mean squared error.