Artificial Intelligence, Machine Learning, Random Forest, Finance, Trading.
sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score # put this in your main at the end features = [ "open", "high", "low", "volume", "sma50", "sma200", "macd", "signal",