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Predicting Bitcoin Fluctuations Using Deep Neural Networks

Seyyedeh Zahra Elahiyan, Parisa Rostami,Reza Javanmard Alitappeh

2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)(2022)

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Abstract
Bitcoin as a decentralized cryptocurrency is the most popular cryptocurrency in the world today. Such that, a lot of people know it as a way to invest their money, which shows that is vital to predict the price trend of this cryptocurrency. In this article, we are trying to predict the price of Bitcoin using a machine learning approach. To do so, we apply collected data from trading sources to train an artificial deep neural nenvork model, and then use the model to predict Bitcoin fluctuation. Our deep model results show that it achieves the best performance among other methods.
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Key words
Bitcoin price,Cryptocurrency,LSTM neural network,Deep learning
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