def check_corrective_rules(self, waves: List[Dict]) -> bool: """Check 3-wave corrective pattern (A,B,C).""" if len(waves) < 3: return False
# Mark swing points swings = result['swing_points'] plt.scatter(swings['index'], swings['price'], c='red' if swings['type'].iloc[0]=='high' else 'green', label='Swing points') elliott wave python code
return { 'pattern': pattern_type, 'waves': waves, 'valid': impulse_ok or corrective_ok, 'fibonacci_levels': fibs, 'swing_points': swings_df } Example usage & visualization ------------------------------- if name == " main ": import matplotlib.pyplot as plt waves: List[Dict]) ->
impulse_ok = self.check_impulse_rules(waves) corrective_ok = self.check_corrective_rules(waves) bool: """Check 3-wave corrective pattern (A
price_series = np.concatenate([wave1[:100], wave2[100:200], wave3[200:300], wave4[300:400], wave5[400:500]])