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Risk of Ruin Calculator

Punch in your starting balance, win rate, average R and a horizon of trades. We run two calculations side by side: the closed-form risk of ruin (when bets are symmetric) and a 1000-trial Monte Carlo simulation in a web worker — so you see the realistic distribution, not just the headline.

Most retail traders have a higher risk of ruin than they realise — and the math is unforgiving. If RoR is over 5 %, your sizing is wrong, your win rate is wrong, or both.

MindTrajour_RiskOfRuin

How to read these two numbers together

Three reads to take seriously before you decide your sizing is fine.

01

Analytical is the upper bound

The closed-form formula assumes symmetric bets and unbounded trade count. When it returns 1 % RoR, your real-world risk over a finite horizon is usually lower. When it returns > 5 %, you are absolutely in trouble.

02

Monte Carlo is the realistic lens

Asymmetric R, finite horizons, ruin thresholds — the simulation models all three. Compare the two channels: when they disagree, the simulation is closer to the real account.

03

Distribution beats average

The median final balance can look healthy while the bottom-10 % balance is a wipeout. Look at the spread, not just the centre — that gap is the variance you have to live through.

RoR is a sizing problem

If your risk of ruin is over 5 %, your sizing is wrong, your win rate is wrong, or both.

MindTrajour shows your real win rate and average R per strategy — so you can fix the input that is actually broken instead of guessing.

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Keep stacking your edge

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Frequently asked questions

Everything you need to know before sizing your next trade.