Meltem Kavaklı

A hybrid FinBERT-LSTM framework for Bitcoin price forecasting using news sentiment and technical indicators

A hybrid forecasting framework that integrates sentiment analysis with deep learning to predict Bitcoin’s hourly and daily closing prices and empirical results demonstrate that sentiment-enhanced hybrid models consistently outperform models based solely on technical indicators across RMSE, MAE, MAPE, and R² metrics.