📊 Fibonacci Retracement Validation Study

Statistical Analysis of Fibonacci Levels Across Multiple Asset Classes

Generated: 2025-12-27 17:30:44 | Kriterion Quant

📈 Executive Summary

62.3%
Overall Hit Rate
57.6%
Random Baseline
+4.7%
Fibonacci Edge
4/5
Significant Levels
9,038
Total Valid Touches
17
Assets Analyzed

✅ FIBONACCI VALIDATED

Fibonacci retracement levels show a hit rate of 62.3% compared to 57.6% for random levels.
This represents a statistically significant edge of +4.70% (p < 0.05).

📐 Results by Fibonacci Level

Level Touches Hit Rate Long HR Short HR Profit Factor vs Random Significant
23.6% 2,257 50.6% 51.4% 49.9% 0.49 -7.0% ✗ NO
38.2% 2,066 62.7% 63.6% 61.9% 0.89 +5.1% ✓ YES
50.0% 1,851 66.9% 71.2% 63.0% 1.10 +9.2% ✓ YES
61.8% 1,655 66.6% 70.7% 63.1% 1.15 +9.0% ✓ YES
78.6% 1,375 69.8% 74.5% 65.9% 1.31 +12.1% ✓ YES

🏛️ Results by Asset Class

Asset Class Assets Touches Hit Rate Long HR Short HR Profit Factor Best Level Effectiveness
Mega Cap 5 7,798 65.9% 67.7% 64.3% 0.96 78.6% HIGH
Energy 2 3,539 65.3% 63.0% 67.8% 0.91 78.6% HIGH
Forex 3 880 65.0% 65.0% 65.0% 0.71 78.6% HIGH
Equity Index 5 4,286 61.4% 66.2% 57.0% 0.97 78.6% MEDIUM
Precious Metal 1 765 56.8% 56.4% 57.2% 0.86 61.8% INEFFECTIVE
Fixed Income 1 517 56.8% 52.7% 60.7% 1.00 78.6% INEFFECTIVE

🏆 Asset Ranking

⬆️⬇️ Long vs Short Analysis

🎲 Monte Carlo Validation

1,000
Simulations
57.63%
Random Mean
55.8% - 59.6%
95% Confidence Interval

💰 Profit Factor Analysis

💡 Key Insights

📋 Methodology

Parameters

ZigZag Threshold{config['zigzag_threshold']*100:.1f}%
Touch Tolerance±{config['touch_tolerance']*100:.2f}%
Reaction Window{config['reaction_window']} bars
Reaction Threshold{config['reaction_threshold']*100:.1f}%
Min Bars Between Swings{config.get('min_bars_between_swings', 10)}

Data

Period{config['start_date']} to {config['end_date']}
Assets{len(asset_stats)}
Asset Classes{len(asset_class_stats)}
Monte Carlo Sims{config['monte_carlo_simulations']:,}
Significance Level{config['significance_level']}