def fractal_validation(price_series, timeframe_multiple=5): """ Check if the largest wave contains valid internal structure. """ # Step 1: Find waves on current timeframe current_waves = find_waves(price_series) # Step 2: For the strongest wave (Wave 3), zoom in if current_waves: wave3_start = current_waves[0]['waves'][2] # Start of wave 3 wave3_end = current_waves[0]['waves'][3] # End of wave 3
For a wave count to be valid, it must adhere to specific rules. These "hard rules" are perfect candidates for logic gates in a Python script: 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, } wave: Dict) ->
# Test for Bullish Impulse if (candidate[0] < candidate[1] and candidate[1] > candidate[2] and candidate[2] < candidate[3] and candidate[3] > candidate[4] and candidate[4] < candidate[5]): if is_valid_impulse(candidate): pattern_type = "Bullish Impulse" valid_patterns.append({ "start_date": pivot_dates[i], "end_date": pivot_dates[i+5], "start_price": candidate[0], "end_price": candidate[5], "type": pattern_type, "waves": candidate.tolist() }) '0.5': mag * 0.5