Algorithmic Trading A-z With Python- Machine Le... May 2026

print(data[['Close', 'Volatility', 'BB_upper']].tail())

for i in range(len(probabilities)): prob = probabilities[i] current_price = data_clean['Close'].iloc[split_idx + i] Algorithmic Trading A-Z with Python- Machine Le...

# Mark to market current_equity = capital + (position * current_price) equity_curve.append(current_equity) import matplotlib.pyplot as plt plt.plot(equity_curve) plt.title("ML Strategy Equity Curve") plt.show() print(data[['Close', 'Volatility', 'BB_upper']]