Elliott Wave Python Code __top__ Jun 2026

# Find local minima (troughs) trough_idx = argrelextrema(data['Low'].values, np.less, order=window)[0]

# Generate synthetic price data (uptrend with pullbacks) np.random.seed(42) t = np.linspace(0, 100, 500) # Simulated Elliott wave: 5 waves up wave1 = 100 + 10 * np.sin(t * 0.05) + 0.1 * t wave2 = wave1 - 4 * np.sin(t * 0.1) wave3 = wave2 + 15 * np.sin(t * 0.03) wave4 = wave3 - 6 * np.sin(t * 0.08) wave5 = wave4 + 8 * np.sin(t * 0.02) elliott wave python code

The coder decides to build a "Wave Hunter." They start by importing matplotlib to handle the price data and to grab historical stock quotes. The hardest part is the Rule Engine 5: return {'pattern': 'none'

detector = ElliottWaveDetector(swing_window=8) result = detector.detect_elliott_waves(price_series) 'reason': 'Not enough swing points'}

# Rule 4: Wave 3 must exceed Wave 1 high if w3 <= w1: return False

if len(waves) < 5: return {'pattern': 'none', 'waves': waves, 'valid': False, 'reason': 'Not enough swing points'}