Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods

Paper

Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods

Published Jun 21, 2021 · Liping Yang

ArXiv

UNKNOWN SJR score

2

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0

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Abstract

In recent years, Bitcoin price prediction has attracted the interest of researchers and investors. However, the accuracy of previous studies is not well enough. Machine learning and deep learning methods have been proved to have strong prediction ability in this area. This paper proposed a method combined with Ensemble Empirical Mode Decomposition (EEMD) and a deep learning method called long short-term memory (LSTM) to research the problem of next-day Bitcoin price forecast.

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Study Snapshot

Key takeawayThis paper proposes a method combining Ensemble Empirical Mode Decomposition (EEMD) and long short-term memory (LSTM) for accurate next-day Bitcoin price forecasting.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods

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