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Risk of Ruin · Monte Carlo

Simulate thousands of trade sequences to estimate the probability your strategy breaches a drawdown limit before it can compound.

1Strategy edge
%
R
%
2Simulation setup
%
Simulation
Probability of ruin
%
Sample equity curves
Median ending return
Median max DD
95th-pct max DD
Edge per trade (R)
Ruin distance (risk units)
Runs that survived
Analytical estimate
Independent approximation assuming non-compounded fixed units, so it will not exactly match the compounding Monte Carlo.
Compounded fixed-fractional risk. Simulated results do not guarantee future performance.
How it works

Monte Carlo, not a crystal ball

Each run replays your trades one by one: with probability equal to your win rate the equity grows by R × risk, otherwise it falls by your risk — always compounding on the current balance. We repeat the whole run thousands of times and count how often the balance breaches your drawdown limit. The analytical estimate is the classic fixed-fractional risk-of-ruin formula, shown only when your edge is positive.

RoR ≈ ((1 − A) / (1 + A)) ^ (drawdown ÷ risk),  A = W − (1−W)/R
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