Abstract

Abstract: Cryptocurrencies are now deeply rooted and widely used as a form of money. Almost all financial instruments are affected, but Bitcoin trading is seen as one of the most recognizable potentials. Since this ever-growing short-term financial market is characterized by high volatility and significant fluctuations in value in a short period of time, the promotion of more accurate and reliable valuation models is seen as an important improvement feature in any firm. Wallet. This study describes a correlated deep learning model that can digitally predict the value and evolution of money. Use of CNN, CNN-LSTM and ARIMA algorithms. Almost any precise feature can be predicted. Keywords: Deep learning; CNN, CNN- LSTM; ARIMA Algorithm; Forecasting style;

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