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RISK LAB / MODEL 001

Risk of ruin calculator.

Even a strategy with positive expected profit can experience a dangerous losing sequence. Explore how stake size, win rate, and reward/risk affect the chance of crossing a capital-loss threshold.

Exact probability modelFixed-fraction sizingNo price feedRuns locally

New to risk of ruin? Read the practical guide →. To work backwards from your stop and risk budget, use Position Size → or Risk / Reward →.

01

Model your trade sequence

Enter assumptions. No historical quotes, trading records or external APIs are used.

An assumed independent probability that each trade reaches its modeled winner outcome. Use your own justified estimate, not a prediction from this site.
How many units of initial risk you earn on a winner, before fees. At 1.5R you gain 1.5 times the amount risked if the trade wins.
Percentage of the CURRENT account equity lost on a losing trade. If the account shrinks, the next monetary stake shrinks too.
How many successive independent trades the model evaluates, up to 750. More trades can make reaching a loss threshold more likely.
Percentage of STARTING account equity that constitutes ruin. For 50%, the model counts any path that ever falls to half the initial capital. This is NOT drawdown from a moving peak.
What the model assumesRead before using

Fixed fraction: each loss reduces current equity by your risk %, each win increases it by risk % × R. For example, 1% risk and a 2R winner add 2% to the then-current account balance.

Two possible outcomes: every trade is a full win or full loss. Outcomes are independent, with unchanged probabilities and payoff. There are no fees, slippage, funding, gaps, partial exits, changing market regimes or liquidation.

Ruin means crossing your starting-capital floor at any time during the chosen horizon. A path counts as ruined even if hypothetical later trades could recover. This is not the same as a drawdown measured from the highest previous equity peak.

The method enumerates probabilities of all surviving win/loss-count states after each trade and absorbs paths immediately at the floor. It does not randomly sample a small number of sequences.

A mathematical illustration, not the measured failure rate of any actual strategy. Historical performance cannot justify a stationary win rate without evidence. Real losses can exceed intended stops.
WHY IT MATTERS

A positive edge doesn't eliminate ruin.

Imagine two traders with the same win rate and 1.5R reward-to-risk. One risks 1% of available equity per trade; the other risks 10%. Their nominal reward-to-risk is identical, but their probability of crossing a severe loss threshold can be very different.

The result is a conditional mathematical probability, not a measured real-world chance. It depends heavily on the win rate, payoff distribution, independence of trades and exact definition of ruin that you supplied.

Winning equity factor = 1 + risk fraction × R
Losing equity factor = 1 − risk fraction

We calculate the probability of reaching the capital floor at any time before your final modeled trade—not just the probability of finishing below the floor. Explore the full explanation and limitations →.