import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
# Load historical OHLCV data
data = pd.read_csv('historical_data.csv')
# Preprocess data
data = data.dropna()
data = np.log(data /...
