# Mark to market current_equity = capital + (position * current_price) equity_curve.append(current_equity)
The curriculum is divided into practical modules that take you from beginner to advanced: Algorithmic Trading A-Z with Python- Machine Le...
Disclaimer: This article is for educational purposes only. Trading financial instruments involves significant risk of loss. Past performance does not guarantee future results. # Mark to market current_equity = capital +
For regression (predicting exact return): Algorithmic Trading A-Z with Python- Machine Le...
features = [col for col in data_clean.columns if 'lag_' in col] X = data_clean[features] y = data_clean['Target']
X = df[['rsi']] y = (df['target'] > 0).astype(int) split = int(0.8*len(X)) model = RandomForestClassifier().fit(X[:split], y[:split])