Elliott Wave Python Code May 2026
waves = [] for i in range(len(swings_df) - 1): start = swings_df.iloc[i] end = swings_df.iloc[i+1] wave = { 'start_idx': start['index'], 'end_idx': end['index'], 'start_price': start['price'], 'end_price': end['price'], 'direction': 'up' if end['price'] > start['price'] else 'down', 'magnitude': abs(end['price'] - start['price']), 'start_type': start['type'], 'end_type': end['type'], } waves.append(wave) return waves
# Rule 2: Wave 3 not shortest if w3['magnitude'] <= w1['magnitude'] or w3['magnitude'] <= w5['magnitude']: if w3['magnitude'] < w1['magnitude'] and w3['magnitude'] < w5['magnitude']: return False elliott wave python code
def fibonacci_ratios(self, wave: Dict) -> Dict: """Calculate Fibonacci retracements/extensions for a wave.""" mag = wave['magnitude'] return { '0.382': mag * 0.382, '0.5': mag * 0.5, '0.618': mag * 0.618, '1.0': mag, '1.272': mag * 1.272, '1.618': mag * 1.618, } waves = [] for i in range(len(swings_df) -
# Rule 3: Wave 4 price overlap with Wave 1? # For uptrend impulse: w1 up, w2 down, w3 up, w4 down, w5 up # Overlap means low of w4 < high of w1 if w1['direction'] == 'up': wave1_high = max(w1['start_price'], w1['end_price']) wave4_low = min(w4['start_price'], w4['end_price']) if wave4_low <= wave1_high: return False else: # downtrend impulse wave1_low = min(w1['start_price'], w1['end_price']) wave4_high = max(w4['start_price'], w4['end_price']) if wave4_high >= wave1_low: return False 'direction': 'up' if end['price'] >
swings = sorted(swings, key=lambda x: x['index']) return pd.DataFrame(swings)
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