International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Bitcoin is known for its high volatility and speculative trading behavior. Predicting Bitcoin prices is valuable for investors, traders, and financial analysts. The study uses historical price data, technical indicators, and/or sentiment analysis. Machine learning and statistical models like ARIMA, Linear Regression, and LSTM are applied. Deep learning models, especially LSTM, show better accuracy in capturing time-series patterns

Keywords: Prediction accuracy, Time series analysis, Historical data, Model training and testing.

Downloads: | DOI: 10.17148/IJARCCE.2025.1411108