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Forecasting bitcoin pricing with hybrid models: A review of the literature

( Vol-6,Issue-9,September 2019 ) OPEN ACCESS
Author(s):

Olvera-Juarez D., Huerta-Manzanilla E.

Keywords:

Bitcoin, cryptocurrency, moving average, autoregressive, price prediction.

Abstract:

The electronic transition has been gaining a large groundin recent decades due to the use of crypto currencies. One of the most popular is Bitcoin. It is open source, the transactions and the issuance of bitcoins occur collectively through the network.The analysis of the behavior of Bitcoin becomes a relevance to the prediction Price and achieve successful investments in it.This review is conducted for the analysis and comparison of the of the different prediction methods focused on the bitcoin price. Anemphasis is placed on those who have a structure as the basis of the ARIMA model, then adding to the hybrid methods, which use neural networks to complete the method.

ijaers doi crossref DOI:

10.22161/ijaers.69.18

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