FIX Laguerre RSI + OSMA Walk-Forward Strategy (2001-2026)

📈 FIX Laguerre RSI + OSMA Walk-Forward Trading SystemA Research-Grade Quant Strategy with Built-In Optimization & Monte Carlo Risk TestingThis product delivers a fully reproducible, professional trading system for the FIX stock that goes beyond simple backtesting. It combines momentum and oscillator logic with walk-forward optimization and Monte Carlo robustness testing to produce realistic, out-of-sample performance results.Designed for systematic traders, quants, and serious strategy builders, this package shows not just how a strategy performs — but how stable it is under changing market conditions.🚀 What This System DoesThis strategy combines: Laguerre RSI (LRSI) for regime and momentum detection OSMA (MACD Histogram) for exit timing Rolling Walk-Forward Optimization to prevent curve-fitting Parameter Grid Search across multiple indicator settings Monte Carlo Simulation using block bootstrap resampling VectorBT Engine for fast, transparent backtesting Instead of one fixed parameter backtest, the system continuously re-optimizes on past data and trades only on unseen future data — the same structure used in professional quant research.🧪 Built-In Robustness TestingThe included Monte Carlo engine simulates hundreds to thousands of alternative equity paths to measure: Return distribution Drawdown distribution Sharpe ratio stability Tail risk behavior This helps answer the real question:“Is this strategy lucky — or structurally robust?”📊 Walk-Forward Combined Performance (From Test Windows)From the combined out-of-sample walk-forward portfolio: Test Period: 2001 → 2026 Total Return: ~100,669% Benchmark Return: ~67,193% Sharpe Ratio: ~1.04 Profit Factor: ~9.76 Win Rate: ~56% Total Trades: 58 Risk Characteristics Max Drawdown: ~59.5% Max Drawdown Duration: ~825 days Avg Winning Trade: ~29.6% Avg Losing Trade: ~-6.4% 📊 Included OutputsYou get automatically generated: Equity curves with trade markers Trade PnL distributions Walk-forward parameter tables Portfolio performance stats Buy-and-hold comparison Monte Carlo return histograms Drawdown and Sharpe distributions Percentile risk summaries ⚙️ What’s Included ✅ Original baseline strategy script ✅ Improved optimized strategy version ✅ Full Walk-Forward Optimization engine ✅ Monte Carlo simulation module ✅ Parameter grid framework ✅ VectorBT backtesting workflow ✅ Ready-to-run Python code 🎯 Who This Is ForPerfect for: Quant traders Systematic strategy developers VectorBT users Backtest researchers Walk-forward learners Traders who want robustness testing — not curve fits 🧠 Key AdvantageMost retail strategies show one backtest curve.This product shows:optimized → out-of-sample → stress-tested → distribution-validated resultsThat’s a completely different quality level of research.

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