How to Pass a Prop Firm Challenge

Start with the target in units of risk

A challenge target is a percent of the account, such as 10 percent. A trade risks a smaller percent, such as 1. Dividing one by the other gives the target in R, the unit of the amount risked: 10 percent / 1 percent = 10 R. The strategy has to earn 10 R net, after costs, before the clock or a limit stops it.

How long that takes depends on the average result per trade, the expectancy. On the made-up odds (45 percent wins, payoff 1.5) it is 0.45 x 1.5 - 0.55 = 0.125 R per trade. On average 10 R takes 10 / 0.125 = 80 trades. At two trades a day that is 40 days.

This is the average path. Real paths wander, so some finish sooner and some later, which is why some attempts pass inside 30 days even when the average path would not.

Read across a row. At 0.5 percent risk the average path needs 80 days, far past the limit, so 83.3 percent of attempts run out of days. At 2 percent it needs 20 days, well inside the limit, but 28.8 percent end on a loss limit. The made-up odds are the same in every row. Size alone moves the answer.

How the three rules pull against each other

• The target wants size. More risk per trade reaches it in fewer trades.
• The time limit wants size too. A strategy that is too small for the limit fails by running out of days, which costs a fee and gives no loss to learn from.
• The loss limits want small size. A larger bet leaves fewer losing trades before the daily or total limit ends the attempt. A losing streak of a few trades is normal, and the risk of ruin guide shows how long streaks get.

How a bot changes this

A bot removes some human errors and adds its own. It will take every signal, so the number of trades per day is set by its design, not by judgement. A busy bot can reach the daily limit on a run of ordinary losses. A martingale or averaging bot has a high win rate and rare large losses, so it can look like a sure pass for weeks and then break a limit in one move. A grid bot can sit on a large open loss that counts if the rule uses equity. None of this suggests that a bot cannot pass. It means the limits must be checked against the worst day the bot can have, not the typical one.

A maths-first checklist

• Write the rules of your own challenge: target, days, daily limit, total limit and how each is measured.
• Convert the target to R at your intended risk.
• Take the average result per trade from a test that includes full costs, and compute the days needed.
• Find the worst single-day loss the bot can book and compare it with the daily limit.
• Run the whole thing through the challenge simulator, and then price the fees with the fee calculator.

What this page does not tell you

It does not say any setting passes. The odds used here are made up and a real strategy's odds are uncertain, particularly if they came from a backtest that may be overfitted. The rules of real challenges differ and change. Treat the arithmetic as a way to see where the room is, and not as a plan.