y_pred = model.predict(X_test) print(f"Accuracy: {accuracy_score(y_test, y_pred):.2f}") print(classification_report(y_test, y_pred))
def live_run(): while True: # 1. Fetch latest 5-minute bars latest_data = fetch_recent_bars() Algorithmic Trading A-Z with Python- Machine Le...
for i in range(len(probabilities)): prob = probabilities[i] current_price = data_clean['Close'].iloc[split_idx + i] y_pred = model