Prop firm challenge: why you fail and how to avoid it

You paid for your prop firm challenge, you were up 6% after a week, and one bad morning ended it. The email arrives: daily loss limit breached. Your strategy did not fail that day. The way your risk piled up over a few hours did.

This guide explains why traders fail a prop firm challenge, with FTMO’s rules read word for word, a simulation of 20,000 challenges and a method to test your own history against those rules before you pay again.

Why do traders fail a prop firm challenge?

Mostly because they breach a loss rule, the daily loss limit first, long before they miss the profit target. The cause is almost never a single bad trade: it is a run of losses, taken at too high a risk, on the same day.

A prop firm challenge is a paid evaluation in which you trade a simulated account under strict rules: a profit target to reach, plus a daily loss and a total loss you must never breach. If you pass, the firm gives you access to a funded account and pays you a share of the profits.

The loss rules forgive nothing. Breaching by one dollar ends the challenge, even if you were a whisker away from the target. That asymmetry traps most candidates: they judge their strategy on its returns, while the challenge judges it on its worst days first.

How many traders actually pass?

A minority of attempts pass. Topstep, one of the few prop firms that publishes its numbers, reports that 16.8% of the Trading Combines started in 2025 were passed.

The same disclosure states that 51.8% of participants passed at least one Combine, because many buy several attempts, that 33.3% of participants who reached the funded level received at least one payout, and that 0.71% of traders in an Express Funded Account were called up to a Live Funded Account. Topstep’s rules (futures contracts, trailing drawdown) differ from FTMO’s, so these rates do not carry over as they are.

The figures that circulate on blogs (“90% fail at FTMO”, “80% of failures come from drawdown”) point to no document published by the firms themselves. We do not repeat them.

How does the daily loss limit work at FTMO?

At FTMO, the daily loss limit is recalculated every day at 00:00 Central European time: the account balance at that moment, minus 5% of the initial capital for the 2-Step challenge, or 3% for the 1-Step. Your equity must never fall below that limit during the day.

The rules as read on FTMO’s website on 26 October 2026:

The detail that catches most people: the limit starts from the balance at midnight, but it applies to equity. Illustrative example on a $100,000 2-Step account. At midnight, your balance is $100,000 and you hold an open position at −$2,000. The next day’s limit is 100,000 − 5,000 = $95,000. Your equity is already $98,000: your real room for the day is no longer $5,000 but $3,000.

The reverse traps traders too. If your position is at +$2,000 at midnight and swings to −$2,000 the next day, you have given back $4,000 of room without opening a single new trade. A position held overnight carries its risk into the following day.

The challenge does not judge your strategy on its average return. It judges it on its worst day.

What our simulation of 20,000 challenges shows

We simulated 20,000 FTMO 2-Step challenges per profile, with three trades a day, a fixed risk as a percentage of initial capital and the rules above (illustrative example, independent trades, no fees or slippage). The result: above 1% risk per trade, the daily loss limit becomes almost the only cause of failure, even for a winning strategy.

The four profiles tested, defined by their expectancy in R:

The percentages are the share of challenges that pass both phases. Three takeaways:

1. At 2% risk, three losses in one day make −6%, beyond the 5% limit. With a 50% win rate per trade, that day comes along once in eight on average. The challenge ends within days.
2. At 0.5% or 1%, the daily loss limit can no longer knock you out with three trades a day: the worst day costs 1.5% or 3%. The remaining failures come from the 10% maximum loss.
3. Low risk costs time. For the +0.2R profile, the median length of a passed challenge goes from 8 trading days at 2% risk to 18 days at 1% and 43 days at 0.5%. Accepting that slowness is part of the method.

We then added a single rule to the profile risking 2%: stop trading for the day as soon as the account is at −2% from the midnight balance. The pass rate rises from 16.1% to 53.1% for the +0.2R profile, and from 22.7% to 53.4% for the +0.1R profile. The strategy did not change. Only the stop rule did.

Why doesn’t lower risk save a losing strategy?

Because low risk slows losses down without changing their direction. With an expectancy of −0.05R, fewer than 11% of challenges pass in our simulation, at 0.5%, 1% or 2% risk, and the rate is actually lowest at 0.5%.

The longer you trade a losing strategy, the more time the negative expectancy has to show. Low risk protects a strategy that has an edge. It does not create that edge.

And costs are often enough to turn a breakeven strategy into a losing one. In its 2014 study on Forex and CFDs, the AMF, France’s financial markets authority, found that fees accounted for 14.2% of retail traders’ losses, not even counting the spread. And according to ESMA, which based its 2018 restrictions on this finding, 74 to 89% of retail accounts lose money on CFDs. Before asking how much to risk, check that your history has a positive expectancy, fees included.

How do you test your history against the rules before paying?

Replay your history in R against the challenge rules: each day, your lowest point of the day multiplied by your risk per trade must stay well clear of the daily limit. If your history would have breached it, the challenge will breach it too.

Step-by-step method on MetaTrader 4 or 5:

1. Export at least 100 closed trades. Our guide to your MT5 trade history walks through the menus.
2. Convert each result into R: the trade’s profit or loss divided by the amount you risked at the stop. Without a defined stop, use your average loss as the unit, knowing the measure will be less reliable.
3. Group trades by closing day, in Central European time. MetaTrader times are your broker’s server times, which can be one or two hours off: adjust if needed.
4. Compute each day’s lowest running total, trade after trade, in closing order. That is your worst point of the day in R, without floating losses, so an optimistic estimate.
5. Multiply by the risk you plan to use and compare with the limit. A worst day of −4R gives −4% at 1% risk: it clears the 2-Step’s 5% limit, but it would have breached the 1-Step’s 3%.
6. Also count your longest run of losing days and add up their losses: that is what brings you closer to the 10% maximum loss.

What rules should you set for your next attempt?

Write down three rules before you click “buy”: a risk per trade that leaves at least five losses before the daily limit, a daily stop at roughly half that limit, and no losing position held at the midnight reset.

1. Risk per trade: divide the daily limit by at least five. 5% gives 1% at most, 3% gives 0.6% at most. Our article on how much to risk per trade details the link between that percentage and drawdown.
2. Daily stop: stop trading at −2% on a 2-Step, at −1.5% on a 1-Step. The next day starts from a new limit.
3. No losing position at midnight: close or reduce before the reset, or count the floating loss against the next day’s room in advance.
4. Maximum number of trades per day, set from your usual average, not from your mood.
5. Locked size: no size increase to catch up with the target, even when the challenge drags on.

These rules do not guarantee a pass. They only remove the most common cause of failure, so that the challenge finally measures your strategy rather than your worst morning.

What Tradeven shows you before your challenge

Tradeven imports your MT4, MT5, cTrader or TradingView history and shows your results in R, your expectancy and your maximum drawdown. Its analysis flags days when your number of trades far exceeds your average, runs of at least three losses during which your size grows by more than 50% from one trade to the next, and inconsistent risk when the standard deviation exceeds half the average. Tradeven does not simulate a prop firm’s rules: the worst-day test is done with the method above.