CP-BiLSTM: Coua Porteles-Based Bidirectional Long ShortTerm Memory Networking for Cryptocurrency Price Prediction

Cryptocurrency resembles the eminent key elements in the progress of financial and economic domains, which enables safe and secure money transactions. However, these currencies are not preferred as an investment prospect because of the price volatility and the unpredictable market price. However, the existing techniques fail to learn the uncertainty and fluctuations in their prices limiting their applicability for real-time price prediction. Consequently, this research proposes the Coua Porteles