Chance to pass the phase

Static — from the starting balance. Touching the limit is a fail.
Of the starting balance: the stop-loss amount is the same in every trade.
The average winning trade in units of risk: 1.5 means wins are 1.5 times the stop-loss amount.
Optional. A percentage of the starting balance; the day's loss counts from equity at the start of the day, touching the limit is a fail.
Needed for the daily limit; without it — to show which trading day the median falls on.
Optional: how many trades you will take within the program's deadline. Empty — no time limit.
85.4%

chance to reach the target before the limit

Fail — limit touched
14.6%
Trades to target — median
32
Average attempt, trades
45.4
Expectancy per trade
+0.125 R

Trades to target among passing attempts: the fastest quarter takes 17 or fewer, the slowest quarter 57 or more.

Model: independent trades taken one at a time, stops and targets filled without slippage, risk a fixed share of the starting balance. The calculation is exact — every outcome trade by trade (a Markov chain), not random runs.

Chance to pass at other risk levels

Other inputs come from the form above; your risk is highlighted. With positive expectancy, lower risk usually raises the chance but takes more trades — with a time limit there may not be enough of them.

RiskChance to passFailTrades to target (median)
0.25%99.9%0.1%218
0.5%96.7%3.3%93
1%85.4%14.6%32
1.5%78.6%21.4%17
2%72.4%27.6%10
FAQ

Fragen und Antworten

What are the odds of passing a prop challenge?

They depend on the strategy's expectancy and the risk per trade. In the article's example — an 8% target, a 10% limit, a 45% win rate, 1.5 R wins — it is 85.4% at 1% risk and 96.7% at 0.5%. Without an edge (a 40% win rate, zero expectancy) it is about 55% at any risk.

What risk per trade should I use in a challenge?

With positive expectancy — the lowest risk at which you finish within the deadline: lower risk raises the chance but takes more trades. Set the phase length in trades and compare the rows of the table below the simulator.

Why is the chance about 55% without an edge?

At zero expectancy the account drifts randomly, and the chance to reach the target before the limit is close to the limit's share of target plus limit: 10 / (8 + 10) ≈ 56%. Lower risk only brings the chance closer to that share: in the article's example it is 54.1% at 2% and 55.2% at 0.5%. With negative expectancy the chance is lower, and lower risk reduces it.

Does the simulator account for the daily limit?

Yes, if you enter a daily limit and the number of trades per day: the day's loss counts from equity at the start of the day, and touching the limit is a fail. If risk × trades per day is below the limit, even a day of nothing but losses cannot reach it, and it does not affect the chance.

Is this a Monte Carlo simulation?

No: the simulator calculates the probabilities exactly — a Markov chain over every outcome, trade by trade — so the numbers do not change from run to run. The model assumes independent trades with a constant win rate and average win in R, and stops and targets filled without slippage.

How do I stick to the chosen risk during a challenge?

Set the risk per trade, trades per day, daily stop-loss and drawdown in the Davinchu risk manager stricter than the firm's rules: the T-Manager EA for MetaTrader 5 counts them across the whole account and, with the default action, closes new entries through its panel at 100% of a limit.

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