Case Studies

Retirement plans, stress‑tested

Real scenarios run through 10,000 Monte Carlo simulations. See what traditional calculators miss — and what could really happen to your money.

Built by a Financial Risk Manager (FRM) · Institutional‑grade methodology

🇸🇬Singapore

Nelson & Family — "Can We Retire at 55?"

Accounting professional with CPF Life, rental income, and a $450K balanced portfolio. Linear forecast says money lasts to 85 — Monte Carlo reveals a 20% chance of running out 9 years early.

CPF LifeHDBRental IncomeSequence Risk
🌍Global · Digital Nomad

Emma Clark — Digital Nomad Chasing FIRE by 45

Freelance developer with $350K in a 90/10 equity‑heavy portfolio, saving $35K/year. Linear models say she hits $1.5M on schedule — simulations show only a 50/50 chance.

FIREGeo-Arbitrage90/10 AllocationAccumulation

Why Monte Carlo simulation matters

Traditional retirement calculators give you one number based on average returns: "Your portfolio grows at 8% per year." But real markets don't move in straight lines.

Markets swing between crashes and rallies. The sequence of those returns matters enormously — retiring right before a crash produces a radically different outcome than retiring at a peak.

Traditional Calculator vs Monte Carlo
A single "8% average" line hides the enormous range of real outcomes.

Monte Carlo simulation runs your plan through thousands of possible scenarios to show the full range — from best case to worst case.

Test your own retirement plan

Stop relying on overly optimistic calculators. See the full range of outcomes with Monte Carlo simulation.

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10,000 Scenarios

Best to worst case

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International

CPF, EPF & global

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Free & Private

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