Bitcoin Price

Predicting Bitcoin's price is a challenging but crucial task in finance, driven by the cryptocurrency's high volatility and complex dynamics. Current research heavily utilizes deep learning models, such as LSTMs, GRUs, and Bidirectional LSTMs, often incorporating feature engineering techniques and external data sources like COVID-19 statistics, on-chain analytics, and even social media sentiment to improve prediction accuracy. These efforts aim to enhance forecasting capabilities, particularly for extreme price volatility, and to understand the influence of various factors on Bitcoin's price movements. Improved prediction models have significant implications for risk management and investment strategies within the cryptocurrency market.