FORECASTING BITCOIN PRICE RANGES BY COMBINING SENTIMENT ANALYSIS WITH HIGH-DIMENSIONAL INDICATORS IN AN LSTM FRAMEWORK
A way to estimate the range of Bitcoin prices for the following day by combining Long Short-Term Memory (LSTM) networks with natural language processing (NLP) approaches, showing how sentiment analysis and deep learning architectures can be combined to increase forecasting resilience and interpretability in erratic cryptocurrency markets.