BITCOIN PRICE PREDICTION USING SVM

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Abstract

Bitcoin is one of the most valuable Crypto currency in the world with the prices as high as 68,078 United States Dollar (USD) in November of 2021. It made Bitcoin a very profitable market for investment but Bitcoin saw many ups and down as well. Prices of Bitcoin have highly fluctuated which make them very difficult to predict. Hence, this research aims to discover the most efficient and highest accuracy model to predict Bitcoin prices from various machine learning algorithms. By using 1-minute interval trading data on the Bitcoin exchange website named bitstamp some different regression models with Scikit- learn and Keras libraries had experimented. The dataset used contains minute by minute prices of Bitcoin of over 5 years and contains almost 3 Million entries. Since, the dataset used is a big data, evaluating the performance of algorithms over a large dataset will give accurate results.

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APA

Auti, A. … Ahire, P. (2022). BITCOIN PRICE PREDICTION USING SVM. International Journal of Engineering Applied Sciences and Technology, 6(11), 226–229. https://doi.org/10.33564/ijeast.2022.v06i11.042

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