Bitcoin Price Prediction using SVM and ARIMA Model
2021 ◽
pp. 1094-1096
Keyword(s):
Bitcoin is the most profitable in the cryptocurrency market. However, the prices of Bitcoin have highly fluctuated which makes them very difficult to predict. This research aims to discover the most efficient accuracy model to predict Bitcoin prices from various machine learning algorithms. Using one-minute interval trading data on the exchange website name is bit stamp from January 1, 2012, to January 8, 2018, some different regression models with sci-kit- learn and Keras libraries had experimented. The best results showed that the Mean Squared Error (MSE) was as low as 0.00002 and the R-Square (R2) was as high as 99.2 Percentage.
2020 ◽
Vol 12
(5)
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pp. 41-51
2021 ◽
Vol 1916
(1)
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pp. 012042
2015 ◽
Vol 42
(19)
◽
pp. 6806
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Keyword(s):
Keyword(s):
2019 ◽
Vol 26
(4)
◽
pp. 164-174
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