FICO MACD–STC Walk-Forward & Monte Carlo Trading Strategy (1991-2026)
FICO MACD–STC Walk-Forward Trading System (1991-2026)Institutional-Grade Momentum Strategy with Out-of-Sample Validation & Monte Carlo Stress TestingA fully systematic quantitative trading model built for Fair Isaac Corporation (FICO), combining momentum regime detection (MACD) with precision trend timing (STC), validated using professional-grade Walk-Forward Optimization and Monte Carlo simulation.This is not a single backtest — it is a robust, out-of-sample validated trading framework designed for long-term capital compounding.Execution assumptions: Signals shifted 1 bar (realistic fill) Trade on Open price 0.1% fees 0.2% slippage Long-only 📊 Walk-Forward Performance (Out-of-Sample Only)Period Tested: 1991 – 2026Training Window: 4 YearsTesting Window: 1 Year (rolling) Total Return: 440,616% Benchmark (Buy & Hold): 208,888% Max Drawdown: 47.6% Sharpe Ratio: 1.00 Win Rate: 66.7% Profit Factor: 12.25 Total Trades: 75 Avg Winning Trade: 23.0% Avg Losing Trade: -5.18% Best Trade: 84.78% Worst Trade: -17.26% Key Takeaways Strategy outperformed Buy & Hold by over 2x Strong asymmetric payoff (winners much larger than losers) Moderate trade frequency (~2 trades per year) Designed for long-term capital growth 🧪 Monte Carlo Robustness Testing1000 block-bootstrap simulations performed on out-of-sample returns to test robustness under randomized market paths.📈 Total Return Distribution 5%: 16,324% 50% (Median): 462,238% 95%: 1,147,737% Even under pessimistic simulations, the strategy remains strongly profitable.📉 Max Drawdown Distribution 5% (Worst Case): -77.45% Median: -59.59% 95% (Best Case): -46.84% Drawdowns are significant — this is a high-growth strategy requiring risk tolerance.📊 Sharpe Ratio Distribution 5%: ~0.59 Median: ~0.83–0.85 95%: ~1.10+ Sharpe remains stable across simulations — indicating structural edge rather than curve-fit noise.🧠 Why This System Is Different✅ True Walk-Forward OptimizationParameters are optimized only on past data and applied strictly out-of-sample.✅ No Lookahead BiasSignals shifted forward for realistic execution.✅ Monte Carlo ValidatedPerformance stress-tested across 1000 randomized equity paths.✅ Realistic Frictions IncludedFees and slippage are built into performance.✅ Structural Momentum CaptureFICO exhibits long-term compounding and trend persistence — this strategy systematically captures it.📌 Risk ProfileThis product is best suited for: Long-term capital growth portfolios Investors comfortable with 50–70% drawdowns Quantitative research environments Systematic traders seeking single-asset alpha Not suitable for: Low volatility mandates Income-focused portfolios Short-term traders 🏆 What You Get Fully coded Python strategy Walk-forward optimization engine Parameter grid search Combined out-of-sample portfolio Buy & Hold comparison 1000-run Monte Carlo stress testing Performance visualizations Institutional-level metrics 🚀 Bottom LineThe FICO MACD–STC Walk-Forward System demonstrates: Persistent alpha vs Buy & Hold Strong risk-adjusted returns Robust performance under Monte Carlo stress Long-term compounding capability This is a research-grade quantitative trading framework built for serious capital growth — not a simple backtest.
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