Cryptocurrency Time Series Forecasting Using ARIMA Models
This project explores forecasting and analyzing price trends for DOGE-USD and Ethereum USD using time series data spanning nearly five years (2019–2024). By applying descriptive statistics and ARIMA models in RStudio, the project investigates volatility, distribution shapes, and patterns within the cryptocurrency data. The analysis reveals DOGE-USD's high volatility with mean-reverting tendencies, modeled using ARIMA(0,0,1). Ethereum USD, with more moderate fluctuations, is best represented by an ARIMA(1,0,1) model capturing momentum effects. Despite reasonable short-term stability predictions, uncertainty remains due to inherent market fluctuations, highlighting the need for cautious interpretation of these forecasts.
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