Back Room

Check your strategy before the market does.

Enter your own numbers and run thousands of possible futures of your strategy – expectancy, drawdowns, risk of ruin and more. Everything is calculated in your browser; nothing is stored or sent.

Edge Check: enter win rate, Reward : Risk, risk per trade and number of trades. The simulator plays through 5,000 possible trade sequences and shows expectancy, typical result, maximum drawdown, risk of ruin and longest losing streak – and whether your strategy beats the Cook, a trader with random entries.

Educational simulation based on your inputs. Past or assumed statistics do not guarantee future results.

Frequently asked questions

What is a Monte Carlo simulation in trading?

Instead of a single backtest, thousands of random trade sequences are generated from your win rate and risk-reward ratio. You see the full range of outcomes – good runs, bad runs and everything in between – and how deep a drawdown can realistically get.

What win rate do I need for my risk-reward ratio?

The break-even win rate is 1 ÷ (1 + reward-to-risk), before costs. At 1 : 1 you need 50 %, at 2 : 1 about 33.3 %, at 3 : 1 just 25 %. Only what lies clearly above that is a real edge – the Edge Check compares it with the Cook, a trader with random entries.

How much should I risk per trade?

Many traders work with 0.5–2 % of the account per trade, but the right position size depends on your edge and on how deep a drawdown you can bear. The Sizing Duel finds the highest risk per trade that keeps the drawdown within your limit in 95 % of all simulations.

What is risk of ruin?

The probability of losing so much that the account is effectively finished – in this simulator: falling to half. Even a strategy with positive expectancy can be ruined if the position size is too large for the losing streaks it will inevitably have.

Why do I need +25 % after a 20 % drawdown?

The gain is calculated on the smaller account: 8,000 left of 10,000 needs 2,000 more – that is 25 %. After −30 % you need +43 %, after −50 % +100 %. The Recovery Math shows how many trades the way back typically takes.

How do I pass a prop firm challenge?

Most traders fail through oversizing, not a bad strategy: a few losses in a row hit the daily loss limit or the maximum (trailing) drawdown before the profit target is reached. A smaller risk per trade often raises the pass rate – the Prop Challenge shows which risk gives your numbers the best odds.