Advanced Index Trader Pro shows solid statistical foundations with an Edge Matrix score of 70/100, though certain areas warrant monitoring. Over 6.7 years and 1048 trades, it has generated a 351.5% total return (25.3% CAGR) with a maximum drawdown of 13.7%. The Calmar ratio of 1.85 suggests acceptable risk compensation, though not exceptional. Monte Carlo simulation results: 100% of 1,000 randomized trade sequences remained profitable, indicating low sensitivity to trade ordering.
Recommendation: LOW VOLATILITY: Standard optimization schedule acceptable
Re-optimize parameters every 3y 9mo to maintain edge quality. Statistical analysis suggests the market regime this strategy exploits has a half-life of approximately 776 days before parameters begin to decay.
Module 02
Edge Matrix — 19 Validation Tests
✓
Temporal Stability
79
✓
Profit Concentration
89
✓
Drawdown Analysis
13.6% max DD
87
✓
Consecutive Loss
72
✓
Sample Adequacy
94
!
Edge Quality
66
✓
Cliff Ratio
92
✓
Edge Decay
73
✓
MC DD Stability
94
✓
MC Robustness
92
✓
Capital Efficiency
72
✓
Holding Time Asymmetry
88
✓
Edge Consistency
87
✓
Ulcer Index
98
✓
Statistical Significance
100
✓
Expected Shortfall (CVaR)
74
✓
Return Autocorrelation
100
!
DD Endurance
2.0x penance, 72% underwater
68
✓
Edge Temporal Decay
100
Deep Dive: What The Tests Mean
▲ TOP 3 STRENGTHS
✓ Statistical Significance100
Tests whether the strategy's edge is real or could have occurred by random chance. Uses t-statistic and binomial probability testing.
✓ Return Autocorrelation100
Tests if trades are independently distributed or if wins/losses cluster. Low correlation suggests a robust, non-path-dependent strategy.
✓ Temporal Decay100
▼ TOP 3 CONCERNS
⚠ Edge Quality66
Measures the quality of wins vs losses — profit factor, reward-to-risk ratio, and consistency of the trading edge.
⚠ Dd Endurance68
2.0x penance, 72% underwater
⚠ Consecutive Losses72
Evaluates the maximum losing streak relative to what's statistically expected. Unusually long streaks suggest regime sensitivity.
Module 03
Monte Carlo Simulation
Method: Bootstrap (resampling with replacement, models a wider universe of possible outcomes from a strategy of this type) · 1,000 simulations
MC Score
84.2
100% profitable
Historical DD
13.7%
Actual worst
50% Conf DD
12.6%
Median scenario
95% Conf DD
18.9%
Stress-test level
99% Conf DD
22.9%
Absolute worst
Monte Carlo Assessment
Every simulated trade sequence remained profitable — this is rare and indicates the strategy's returns are not dependent on trade order.
The 95th percentile drawdown (18.9%) is only 1.4x the historical maximum — drawdown behaviour is stable and predictable.
Monte Carlo Drawdown Context: The 95th–99th percentile simulated drawdown range is 19–23%, compared to the historical 13.7%. This range is commonly used as a stress-test reference when evaluating strategy robustness.
This strategy shows positive statistical characteristics with some areas below optimal thresholds. The flagged concerns provide context for interpreting the overall profile.
Module Summary
Edge Matrix: 17/19 tests passed, 2 warnings, 0 failures. Overall score: 70/100 (STABLE). Monte Carlo: 100% survival rate across 1,000 simulations. 95% confidence drawdown: 18.9%. Projection: Median expected balance of $88,905 after 470 trades (~36 months). Optimization: Statistical analysis suggests parameter stability of approximately 1373 days. Insights: Historical schedule analysis shows +$4,620.54 differential across analyzed time segments.
Disclaimer: This is a statistical analysis of historical data. It does not constitute financial advice and does not guarantee future performance. Past results are not indicative of future returns. All trading involves risk. Edge Matrix evaluates the statistical properties of backtests — it does not predict market behavior.