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Monte Carlo Retirement Simulator

The 4% rule assumes average returns every year. Markets don't work that way. This runs 1,000 simulations of your retirement across random market sequences โ€” showing your real probability of your money lasting the full retirement.

Your retirement scenario
Market assumptions
S&P 500 long-run mean ~10% nominal / ~7% real. Standard deviation ~15โ€“17%. Bonds: ~4โ€“5% mean, ~7% std dev. A 60/40 portfolio: ~7% mean, ~12% std dev.
Methodology: Each simulation draws annual returns from a normal distribution with specified mean and standard deviation โ€” consistent with methodology used in Bengen (1994) and the Trinity Study (1998). Normal distribution does not capture fat tails or autocorrelation in real markets โ€” results are indicative, not predictive. Historical S&P 500 data: mean ~10% nominal, std dev ~15โ€“17% (1926โ€“2024, S&P SPIVA). This is not financial advice. Consult a financial planner for personalised retirement modelling.