Cryptocurrency Price Trends and Predictions Using Artificial Intelligence

This study offers a novel AI-powered method for forecasting Bitcoin prices. The system efficiently analyzes historical pricing data to identify underlying trends and volatility patterns by utilizing Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) models. The comprehensive evaluation of Ethereum and Bitcoin datasets demonstrates that the model can produce precise and timely price predictions. For investors and financial analysts engaged in the extremely volatile cryptocurrency industry, the system's real-time prediction capabilities provide priceless insights that assist with more strategic and informed decision-making.