UCTT SMA–Reflex Walk-Forward + Monte Carlo Trading System (2008-2026)

UCTT SMA–Reflex Walk-Forward Trading System (2008-2026)A quantitatively engineered trend-momentum trading system for Ultra Clean Holdings (UCTT) designed with institutional-grade validation: ✅ Walk-Forward Optimization (WFO) ✅ Out-of-Sample Testing ✅ Buy & Hold Benchmark Comparison ✅ Block Bootstrap Monte Carlo Simulation ✅ Distribution-Based Risk Analysis This is not a simple backtest.It is a forward-validated, distribution-tested trading model.Validation ProcessThis product was validated using a multi-layer robustness pipeline:Walk-Forward Optimization 4-year training window 1-year forward test window Rolling yearly re-optimization Full parameter grid search Strict out-of-sample stitching This prevents static parameter overfitting.Monte Carlo Stress Testing 1,000 block bootstrap simulations Preserves autocorrelation Generates distribution of: Total return Max drawdown Sharpe ratio This evaluates distribution risk, not just a single equity curve.Out-of-Sample Performance (2008–2026)Execution: Next-day OpenFees: 0.1%Slippage: 0.2%Combined Walk-Forward Results Total Return: +961% Benchmark (Buy & Hold): +354% Max Drawdown: 81.7% Sharpe Ratio: 0.61 Profit Factor: 1.25 Win Rate: 40.4% Total Trades: 48 Best Trade: +317% Worst Trade: −37.6% The system significantly outperformed buy & hold in total return, with fewer than 50 trades over 18+ years.Monte Carlo Distribution Results1,000 resampled equity paths:Total Return Distribution 5th percentile: −72% Median: +966% 95th percentile: +38,585% Max Drawdown Distribution 5th percentile (worst cases): −96.9% Median: −83.6% 95th percentile (best cases): −64.7% Sharpe Ratio Distribution Median ≈ 0.50 Right-tailed positive skew Risk ProfileThis is a: High-volatility High-skew Trend-driven Convex payoff system Expect: Long flat periods Deep drawdowns Rare but powerful trend explosions This is not a smooth equity curve strategy.It is designed to capture asymmetric upside moves.Who This Is For Quantitative traders Systematic swing traders Research-driven investors Portfolio allocators seeking convex exposure Not suitable for: Low-drawdown mandates Short-term scalpers Risk-averse capital preservation strategies Product Includes Full source code Original and optimized parameter sets Walk-forward engine Monte Carlo engine Performance charts Statistical summary outputs

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