Cryptocurrency Price

Predicting cryptocurrency prices, a notoriously volatile market, is a central focus of ongoing research, aiming to improve forecasting accuracy and understand the factors driving price fluctuations. Current research heavily utilizes machine learning, employing diverse models such as LSTM, GRU, CNN, Transformer networks, and XGBoost, often incorporating multimodal data including historical price data, technical indicators, social media sentiment, and blockchain metrics. These efforts are significant because improved prediction models can enhance investment strategies, risk management, and the overall understanding of complex market dynamics within the cryptocurrency ecosystem.