Bitcoin price prediction and machine learning features: New financial scenarios

Technological advances have reshaped our society, leading to a shift toward a more digital economy. In this work, a machine learning model is developed using neural networks to make predictions about the price of Bitcoin. A training dataset is created that contains closing price values from the last 60 days to predict the closing price value of day 61. This short lapse time was chosen to point out the high volatility of this kind of market as well. Performing an in-depth study on the correlation between cryptocurrencies strengthens the analysis for driving the read into this framework related to prediction for a complex financial scenario.