Abstract: The dominant asset, Bitcoin, has a significant impact on blockchain technology. In project, proposed to correctly forecast the Bitcoin price while taking into account a number of factors that influence the Bitcoin value. In addition to learning about the best features related to Bitcoin price, our goal is to comprehend and identify everyday trends in the Bitcoin market. data set comprises of different elements that have been tracked daily over the course of each year in relation to the Bitcoin price and payment network. To forecast the closing price of the following day, factors including the opening price, highest price, lowest price, closing price, volume of Bitcoin, volume of other currencies, and weighted price were taken into account. Using the Scikit-Learn tools and the random forest model, predictive.
Keywords: Machine learning, Time series analysis, Sentiment analysis, Regression analysis, Deep learning, and other.
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DOI:
10.17148/IJARCCE.2023.124140
