Abstract: Bitcoin is an innovative payment network and a new kind of money. It is open-source; its design is public; nobody owns or controls Bitcoin and everyone can take part. Bitcoin uses peer-to-peer technology to operate with no central authority or banks; managing transactions and the issuing of bitcoins is carried out collectively by the network. Recently Bitcoin has received a lot of attention from the media and the public due to its recent price hike. As Bitcoin has been viewed as a financial asset and is traded through many cryptocurrency exchanges like a stock market, many researchers have studied various factors that affect the price of Bitcoin and the patterns behind its fluctuations using various analytical and predictive methods. In recent years, Bitcoin is the most valuable in the cryptocurrency market. However, 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 using machine learning algorithms. Using the available information through the dataset, we will predict the sign of the daily price change with highest possible accuracy.
Keywords: Bitcoin, Price Prediction, Blockchain, Cryptocurrency, Random Forest, Predictive Analysis
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DOI:
10.17148/IJARCCE.2022.11214
