Bitcoin price prediction with random forest technique using python

الملخص EN

This study applies a Random Forest technique to analyze the Bitcoin fluctuations from January 2019 to December 2020.

A Random Forest model, which attributes the right currency margin in forecasting, was designed using Python.

The prices fluctuations were examined by various measures such as the root mean square error (RMSE), the mean olute error (MAE), the mean olute percentage error (MAPE), and R2.

The results show that this technique can forecast trends in Bitcoin and cryptocurrencies.