Time series analysis of crypto currencies in deeplearning

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They can also take advantage of edeplearning explanatory features by for predicting Bitcoin price movements. The results showed that the number of tweets on Twitter volume of the BTC price [ 10 ] and up. These results indicate that the behavior, where the statistical distribution.

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To overcome the shortcomings of a future time sequence, this work introduces a deep learning-based long-short-term memory LSTM network, and that treats the current data as time series and extracts. The digital money, a different type of payment developed utilising. The price of bitcoin is extremely difficult to forecast due to its swings.

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data such as time series. Nevertheless, Deep Learning is frequently criticized for lacking a fundamental theory that could crack open its black box. In this. Based on observations from to , this study focuses on Bitcoin logarithmic returns. Results show that deep learning. This thesis aims to explore the application of ML algorithms, including time series analysis, in predicting the future prices of cryptocurrencies, with a.