What a prop firm challenge actually costs — the full arithmetic

The number on the challenge page is the fee. It is also the smallest part of what a challenge costs, and the two bigger parts are almost never shown next to it. This is a full accounting of the three costs, with the arithmetic worked out end to end, so you can price an attempt before you buy one rather than after the third reset.

Every numeric result below comes from a simulator I wrote and ran to produce this page, with a fixed random seed so the figures are reproducible exactly. The code, the assumptions it makes, and the places it is likely to be wrong are all stated, because a cost figure you cannot audit is not much better than the sales page it came from.

Cost one: the evaluation fee

This is the advertised price and the only one most traders budget for. It scales with account size: a $100,000 evaluation typically costs several hundred dollars, and a $25,000 one a fraction of that. What that money buys is a single attempt at the evaluation, and on most firms it is not refundable if the attempt is breached early in the period.

Worth being precise about what the fee is not. It is not a deposit. It is not returned if you pass. It does not convert into trading capital, and it does not buy you the funded account — it buys you the right to try for one. The fee is simply the price of one attempt, and the whole point of the rest of this page is that one attempt is usually not what you end up buying.

Cost two: the reset, and why this is the real number

When an account is breached, the usual route back is to buy the evaluation again. Some firms discount the retry, some charge a flat reset fee, some reset only the drawdown rather than the whole account. The terms differ enough that it is worth reading them before you need them, because you will need them on a day when you are least inclined to go hunting through a terms page.

This is where the cost stops being a single purchase and becomes a series of them, and where the arithmetic stops being trivial. If the probability of passing a single attempt is p, and attempts are independent, then the expected number of attempts needed is approximately 1/p, and the expected fee spend is:

expected fee spend = fee × (1 / p) = fee / p

That is the number to compare against the fee itself. The fee is not what you will spend; it is what you will spend per attempt. The gap between those two facts is the entire content of this section.

The naive table

Start with the version that only uses the advertised fee, since that is the version almost everyone does in their head:

Fee per attempt	Pass rate p	Expected attempts (1/p)	Expected fee spend	Multiple of advertised
$500	0.70	1.43	$714	1.43x
$500	0.55	1.82	$909	1.82x
$500	0.40	2.50	$1,250	2.50x
$500	0.30	3.33	$1,667	3.33x
$500	0.20	5.00	$2,500	5.00x

At a $500 fee and a 40% pass rate the expected spend is $1,250, two and a half times the advertised price, for one eventual funded account. At 20% it is five times. Nothing on the sales page tells you which row you are in, which is the whole problem with pricing a challenge from the page itself.

But this table has a hidden assumption that is worse than any of the numbers in it: that a single pass rate exists. It does not. The pass rate is a property of you against a specific rulebook, and the rulebook moves it more than any amount of skill does. The rest of this page shows that with measured numbers.

Cost three: the funded stage

This is the cost most often left out entirely. Many firms charge an activation or platform fee when an evaluation converts, before any payout is due. Sometimes it is billed up front; more often it is deducted from the first withdrawal, which makes it feel free in the moment and quietly reduces the first payout when it arrives.

It is a small line item next to the reset exposure, but it belongs in the total, because it is money that leaves before you have seen a payout. It also has a subtle effect on the reset arithmetic: if the activation fee is deducted from the first payout, then a marginal fund-and-withdraw cycle is worth slightly less than it looks, and the break-even pass rate at which a challenge is worth attempting moves up.

The rulebook moves the pass rate more than skill does

Here is the part that the flat table above hides completely. Two accounts can cost the same, advertise the same drawdown number, and hand you genuinely different probabilities of surviving long enough to pass. To show how much, I wrote a simulator rather than assert a figure.

The setup: a $50,000 account, a $6,000 profit target, a $2,500 drawdown, and a $500 fee. Realistic for a mid-size evaluation. Then I ran an identical sequence of trades through four different drawdown rulebooks:

• static — the floor is fixed at $47,500 and never moves;
• trailing until break-even — the floor rises with your peak but is never allowed above the starting balance;
• trailing on close — the floor rises with the high-water mark of your closing balance, indefinitely;
• trailing intraday — the floor rises with the highest equity touched during a trade, so open profit raises it before the trade is closed.

One identical walk, four rulebooks

start $50000 | target +$6000 | drawdown $2500 | 11 trades | fee $500

static               ALIVE     equity $49600 | P&L -$400 | peak $55600 | thinnest room $2100
trailing→breakeven   BREACHED  day 11 (give-back) equity $49600 vs floor $50000 | P&L then: -$400
trailing on close    BREACHED  day  8 (give-back) equity $52900 vs floor $53100 | P&L then: +$2900
trailing intraday    BREACHED  day  4 (give-back) equity $52700 vs floor $52700 | P&L then: +$2700

Read the last two lines again. Two of those accounts were up $2,700 and $2,900 when they died. The trader was not losing money. The trader was winning, and still lost the account — while the static account, on exactly the same trades, ended the sequence down $400 and perfectly alive.

The intraday account is the extreme case, and it is worth walking through day by day because the mechanism is not obvious:

Day	Entry equity	Peak touched in the trade	Floor after the peak	What happened
1	$50,000	$51,000	$48,500	closed +$900, alive
2	$50,900	$51,800	$49,300	closed +$800, alive
3	$51,700	$53,100	$50,600	closed +$1,300, alive
4	$53,000	$55,200	$52,700	a routine pullback to $52,700 ended the account

The fourth trade reached $55,200 in open profit. That, and only that, dragged the failure floor up to $52,700. The position then pulled back — not to a loss, simply back from its own high — and touched the floor. The account was closed out on a trade that, read from the entry price, was never in danger of being a loser.

This is the single most expensive misunderstanding in the category, and it is invisible on an equity chart. The balance is barely different. Nothing looks like a disaster. The failure is administrative: the reference point moved, and the trader was still measuring risk from the entry.

Why the trailing-on-close account died later than the intraday one

Both of those trailing accounts died in profit, but not at the same time, and the difference is the whole reason to read a rulebook closely. The intraday rule responds to the $55,200 peak; the on-close rule never sees it, because that trade was never closed at $55,200. It died on day 8 instead of day 4, giving the trader four extra days in which the same sequence of decisions might have ended differently.

Two firms can both print “$2,500 trailing drawdown” on a comparison table and be different products. Only one of them charges you for your unrealised peak.

The same rulebooks across 200,000 simulated accounts

A single walk proves the mechanism exists. It does not tell you how often it fires, so I ran each rulebook across 200,000 independent accounts using the same random trade generator for all four — only the rule changes:

rulebook              passed   breached   still open   breach-while-ahead
static                57.01%    20.40%       22.58%                 0.0%
trailing→breakeven    47.77%    44.15%        8.08%                 0.0%
trailing on close     38.34%    60.12%        1.54%                40.9%
trailing intraday     22.02%    77.93%        0.05%                46.2%

Four things in that table matter more than the headline pass rates.

First, the spread is enormous. The same trades, the same target, the same market — and a pass rate that ranges from 22% to 57%. A trader who believes they have “a 50% pass rate” is describing a property they do not have; they have a pass rate against one rulebook, and it can more than double without them changing anything about how they trade.

Second, roughly 4 in 10 breaches of a full trailing account happen while the account is in profit (40.9% and 46.2%). That is the population-level version of the day-4 story above. It is not an edge case or a curiosity that happens to unlucky people; it is the largest single failure mode of the trailing rule.

Third — and this is the finding I did not expect — the two rulebooks whose floor can never rise above break-even have a breach-while-ahead rate of exactly 0.0%. Both of them. The static account, obviously. But also the trailing-until-break-even account, which does trail your peak and is meaningfully harder than static (47.77% versus 57.01%). It still never kills you while you are up, because the floor is capped at your starting balance.

That isolates the mechanism precisely. The “died while winning” failure mode is not a feature of trailing drawdown in general. It occurs if and only if the floor is permitted to rise above your starting balance. If a firm tells you the floor stops at break-even, that single detail removes the entire category of failure that accounts for roughly 4 in 10 trailing breaches.

Fourth, the difference is structural, not behavioural. Static and break-even-capped accounts breach while ahead 0.0% of the time by construction. No discipline, and no amount of skill, is being measured by that column. It is a property of the rule.

What that does to the cost

Feed the measured pass rates back into the expected-cost formula with the same $500 fee:

rulebook             pass rate p   E[attempts]   E[fee spend]   vs advertised fee
static                    0.5701          1.75          $877              1.75x
trailing→breakeven        0.4777          2.09        $1,047              2.09x
trailing on close         0.3834          2.61        $1,304              2.61x
trailing intraday         0.2202          4.54        $2,270              4.54x

The same product, the same price tag, and an expected bill that differs by a factor of two and a half. Choosing between a static account and an intraday-trailing account is a larger financial decision than choosing between a $500 account and a $1,250 one, and nobody advertises it that way, because the fee is the number that fits on a button.

The daily loss limit, which turns out to matter more than all of it

Real evaluations usually carry a daily loss limit as well as a maximum drawdown, and I modelled it separately because the interaction is not obvious. The account below is $50,000 with a $2,500 maximum drawdown, and the worst single loss in the trade generator is $600 with a worst adverse excursion of $1,000.

daily limit                static   trailing on close   trailing intraday   binding-limit share of breaches
none                      57.01%              38.34%              22.02%   0.0% / 0.0% / 0.0%
$1250                     57.01%              38.34%              22.02%   0.0% / 0.0% / 0.0%
$1000                     57.01%              38.34%              22.02%   0.0% / 0.0% / 0.0%
$900                      27.75%              21.60%              14.44%   83.4% / 55.4% / 36.4%
$800                       5.60%               5.32%               4.60%   97.0% / 91.5% / 79.8%
$700                       1.04%               1.04%               1.02%   99.7% / 99.3% / 96.8%
$600                       0.24%               0.24%               0.24%   100.0% / 100.0% / 99.8%

There is a phase change in that table, and it happens in a very narrow band.

At $1,000 and above, the daily limit is completely inert. Every pass rate is identical to the no-limit run, and it accounts for 0.0% of breaches. A limit set that far from your normal loss size is decoration; it will never be the reason an account ends.

Between $900 and $800 it becomes the dominant failure mode. At $900 it is responsible for 83% of static breaches and pass rates nearly halve. By $800 it is responsible for 79–97% of all breaches and the static pass rate collapses from 57% to 5.6%.

By $600 the drawdown rule stops mattering at all. All three rulebooks converge on 0.24%, within a rounding error of each other, and 100% of breaches are the daily limit. Static, trailing-on-close and intraday become the same product.

The practical reading is uncomfortable and useful in equal measure. A daily loss limit set anywhere near the size of your worst single loss does not add a constraint to the drawdown rule; it replaces it. Everything on the comparison table — static versus trailing, intraday versus close — becomes irrelevant, and you have spent a great deal of effort choosing between rulebooks while the rule that actually ends your account was sitting underneath all of them. If you are choosing an account, check the daily limit before the drawdown type. If you already hold one, the arithmetic above tells you exactly where your real failure line is.

Does skill help equally under every rulebook?

This is the question that decides whether rulebook-shopping is a substitute for getting better. I re-ran all three rulebooks at five different win rates, keeping the trade sizes identical so the only variable is the quality of the decisions:

win rate   static   trailing on close   trailing intraday   static minus intraday
    40%      8.02%                4.98%                2.63%                  5.4pp
    45%     27.10%               16.94%                9.01%                 18.1pp
    50%     57.01%               38.34%               22.02%                 35.0pp
    55%     82.67%               62.51%               40.46%                 42.2pp
    60%     95.03%               81.01%               60.10%                 34.9pp

Two conclusions, and the second one is the more useful.

Skill is worth far more than the rulebook, but only on the easier rulebooks. Going from a 50% to a 55% win rate takes the static pass rate from 57% to 83% — a swing of 26 points, larger than the entire 35-point gap between static and intraday at 50%. If you can improve, improving is the higher-return activity. Nothing here argues for settling for a bad rulebook instead of trading better.

And the harder rulebooks convert skill into pass rate much less efficiently. At 55%, the static account passes 82.67% of the time and the intraday account 40.46% — a 42-point gap, the widest in the table. A trader at that level of skill gets less than half the benefit from their own improvement on a trailing-intraday account, because a large fraction of their good outcomes are being consumed by a floor that rises while they are winning. That is the same give-back mechanism as day 4 in the walk above, applied at population scale.

The 40% row is worth reading separately. There, all three rulebooks are in the single digits and the model is running with slightly negative expectancy, so the pass rates are near-floor for everyone and the rulebook barely matters. Rulebook choice is a second-order question for a trader whose underlying edge is not yet positive. Get the edge first.

The arithmetic that decides position size

If the rulebook sets the pass rate, then position sizing is where you either respect it or don't. The useful thing about a trailing threshold is that it converts into a position size exactly, with no judgement involved, because futures contracts have fixed tick values.

The rule is: decide what fraction of the threshold you are willing to risk per trade, then solve for contracts.

contracts = (risk fraction × threshold) ÷ (stop distance in ticks × value per tick)

On a $50,000 account with a $2,500 threshold, a 10% risk budget is $250. With a ten-point stop:

risk budget = 10% of the $2500 threshold = $250
contract   stop (pts)   $/contract   contracts allowed   verdict
MES                10        $50.00                   5        ok
ES                 10       $500.00                   0   not tradeable at this risk
MNQ                10        $20.00                  12        ok
NQ                 10       $200.00                   1        ok

That table is why micros are not a beginner's concession on a trailing account. They are the only instruments in which a $250 risk budget can exist at all. The same idea expressed on ES needs $500 per contract at a ten-point stop, so the permitted size is zero — and a trader who ignores that and takes one ES contract is risking twice their entire per-trade budget on a floor that is still moving.

The buffer arithmetic that surprises people

One more measured result, and it is the one that most repays staring at. On a full trailing account, remaining room depends only on how far you are below your peak. It has nothing to do with how much profit you have made:

peak equity   floor    room from peak   room if 1,500 off the peak
   (watch the last two columns: they never change, whatever the profit is)
        +$0   $47500      $2500                             $1000
     +$1000   $48500      $2500                             $1000
     +$2000   $49500      $2500                             $1000
     +$2500   $50000      $2500                             $1000
     +$3000   $50500      $2500                             $1000
     +$5000   $52500      $2500                             $1000
    +$10000   $57500      $2500                             $1000

Every row is identical. An account up $10,000 has exactly the same room as an account at break-even, provided both are $1,500 below their own peak. The floor has already risen to match the profit, so the profit bought nothing in the way of safety.

This is the opposite of how a static account behaves, where a built-up buffer is genuinely defensive and can be spent down. On a full trailing account, no amount of profit protects you. The only thing that helps is keeping the give-back from the high-water mark inside the threshold at every single moment, including intratrade — or, better, holding an account where the floor is not allowed above your starting balance, since that is the condition that makes the “died while winning” outcome arithmetically impossible.

Where this model is probably wrong

Any number above is only as good as the generator behind it, so here is what the generator assumes and where that matters.

• Trades are independent and identically distributed. Real trading does not work that way. Streaks cluster, and a rulebook that punishes give-back punishes clustering harder than independence suggests. This makes the trailing figures above, if anything, conservative.
• The winner/loser mix is fixed at a 50/50 win rate with winners of $300–800 and losers of $200–600, which is mildly positive-expectancy by design. A trader with a lower win rate and larger winners will see worse trailing numbers, because large winners are precisely what ratchet the floor.
• Each trade visits its favourable extreme before its adverse one. That is the conservative assumption and it is what makes the intraday rule look as harsh as it does. Some real trades reverse first, which would flatter it.
• The lock point is modelled at two specific values — break-even, and a profit lock of $3,000. Real firms lock where they choose, and the measured difference between the two is large: locking at $3,000 rather than trailing indefinitely takes the intraday pass rate from 22.02% to 45.99% and cuts expected fee spend from $2,270 to $1,087. Where your firm locks is one of the highest-value facts about your account.
• The daily limit is modelled as a fixed dollar figure measured from each day's starting equity. Real rules sometimes measure it including the day's open float, which is stricter.

The likely direction of most of those assumptions is that the real spread between rulebooks is wider than the model shows, not narrower. The precise percentages are illustrative. The ordering is not: static is easiest, intraday trailing is hardest, the daily limit can override both, and the gap is large enough that it should be the first question you ask about an account.

The question worth answering before you buy

Not “how much is the challenge”, which has a one-line answer on the page, but: what is my total expected spend before a funded account exists, and how long is that likely to take? Those are different questions. Only the first is advertised.

To answer it honestly you need five inputs, and four of them are on the rulebook rather than the pricing page:

1. the fee, and the reset or retry terms on that specific firm;
2. the daily loss limit, and whether it is set anywhere near the size of a normal loss — because if it is, this single line dominates everything below it;
3. whether the drawdown is static, trailing on close, or trailing intraday;
4. where the trail stops: break-even, a defined lock level, or never;
5. your own realistic pass rate, which should come from your record rather than your ambition.

Feeding those into the arithmetic on this page takes about a minute, and it routinely changes the decision — usually by making a larger account size, or a harder drawdown rule, look considerably worse than it did on the sales page.

Where the numbers come from, and how to check them

Verify every firm-specific figure on your own dashboard before relying on it: fee, reset terms, activation charge, daily limit, drawdown model and lock point all differ by firm and change over time. The arithmetic is stable; the inputs are not. A free calculator that takes fee, reset price and pass rate and returns the expected total is available at the prop firm profit calculator, and the rules that decide whether an attempt converts — drawdown type, daily limits, consistency requirements — are covered in more depth at elitepropx.com.

The conclusion I would defend from everything above is narrow and specific. Before you compare fees, check two rules in this order: the daily loss limit, then whether the drawdown floor is allowed to rise above your starting balance. Together those two facts move your expected spend by more than the fee does, they determine whether you can be killed while in profit, and they are the things a comparison table describes identically while firms implement differently.