Estimating Blockchain Using Time-Series Forecasting ARIMA

Abstract

The purpose of the study is to forecast the bitcoin prices fluctuation for a month based on the last ten years. The data is secondary and collected from investing.com using the time series technique ARIMA. The findings state there are price fluctuations seen, it is increasing at a low rate. ARIMA model accurately predicts the direction of travel; nevertheless, the predicted values are consistently lower than the actual observations. AI is being used to estimate the value of bitcoins as a means of measuring the potential risk connected with blockchain technology’s financial use is being investigated further work that may be followed up based on this research.