Straight-line projections lie
A 6% average return sounds fine. But what if you get −20% in year one of retirement? The order of returns matters enormously, and most tools ignore it.
Markets don’t move in straight lines. Fynla runs thousands of simulated scenarios — booms, crashes, and everything between — to show you the real probability of your financial plan succeeding.
A 6% average return sounds fine. But what if you get −20% in year one of retirement? The order of returns matters enormously, and most tools ignore it.
“You’ll have £450,000 at retirement” tells you nothing about how likely that is, or what happens if markets underperform for a decade.
A plan that works in the average case but fails in 30% of scenarios isn’t a plan — it’s a bet.
Fynla runs Monte Carlo simulations across your entire financial plan and gives you a clear confidence level: your plan succeeds in a given percentage of scenarios.
See the range of possible outcomes as a fan chart. The best case, worst case, and most likely case — all visible at once.
What happens if inflation runs at 5% for a decade? What if you face a 2008-style crash in year one of retirement? Test specific scenarios.
The biggest risk retirees face isn’t low average returns — it’s bad returns at the wrong time. Fynla explicitly models this risk.
Confidence level below 80%? Fynla shows you which levers to pull — increase contributions, delay retirement, reduce drawdown — and how each change helps.
Your confidence level updates automatically as you add data, change plans, or as markets move. It’s a living dashboard, not a one-off report.
Imagine you’re planning a road trip. You could assume the motorway is always clear and you’ll average 60mph. But in reality, you might hit traffic, roadworks, or detours.
Monte Carlo simulation is like running that road trip 10,000 times with random traffic conditions each time. Instead of one estimated arrival time, you get a range: you’ll arrive between 2pm and 4pm, with 85% confidence you’ll be there by 3pm.
Fynla does the same thing with your finances. Instead of one projection with one assumed growth rate, we run thousands of scenarios using historical market data — including crashes, booms, and flat periods. The result isn’t a single number. It’s a probability.
The demo runs Monte Carlo simulations on sample data so you can see exactly how it works — no maths degree required.