What's a realistic prop firm pass rate?

Independently observable evidence — drawn from anonymised broker data, public surveys, and reverse-engineering from payout disclosures — suggests evaluation pass rates cluster between 5% and 15% for one-and two-step programs at most major firms. Numbers above 20% are usually marketing self-reports without external verification. Numbers below 5% sometimes appear from communities filtered toward complaints. The 5–15% range is the working consensus across independent observers.

If pass rates are low, is the model fair?

It depends entirely on what 'fair' means to you. The contract is transparent in the sense that the rules are published in advance. It is structurally a low-probability bet, so the expected value for a trader without strong discipline is negative. The firms with the longest operating records have payout ratios in the high single digits to low double digits as a share of evaluation fees collected, which is consistent with the 5–15% pass rate band and indicates the firms can and do pay successful traders. The question 'is it fair' is best answered by deciding whether a low-probability bet with high asymmetry suits your situation.

Prop Firm Pass Rates: What the Numbers Actually Say in 2026

Q: Why is the pass rate so low?

Because the evaluation is structurally a risk-discipline test designed to look like a profit test, and the rules combine to make breaches likely for most trader cohorts. A 5% profit target sounds easy; combined with a 5% trailing drawdown and a 30% consistency rule, it requires a specific equity curve shape that most discretionary traders cannot hit reliably. The math is also necessary for the firm — payouts come from the same pool that evaluation fees feed, so the firm needs the failure rate to stay high enough that the payout pool stays solvent.

The pass-rate question is one of the most-asked and least-honestly-answered in retail prop trading. Marketing copy from individual firms talks about pass rates ranging from 5% to over 40%, depending on what the firm is selling and which segment it is targeting. Almost none of those figures are independently verifiable. The reasonable conclusion is that pass rates are a real and important variable, the public numbers are mostly noise, and the only useful version of the question is “what odds are operationally plausible, and what does that mean for me.”

This guide is what we believe we can defensibly say about pass rates as of mid-2026, based on the indirect evidence available.

Where pass-rate numbers actually come from

Almost no prop firm publishes verified evaluation success statistics. The numbers that circulate come from three sources, in descending order of reliability.

First, indirect inference from independent broker data. Brokers that host prop firm execution can, in principle, see aggregated evaluation outcomes for the firms they serve. A handful of those brokers have disclosed approximate statistics in interviews with industry press; the consistent message has been low single-digit to low double-digit pass rates across the firms they observed, with significant variance between firms.

Second, public payout disclosures. A firm publishing total payouts and total active traders provides a lower bound on pass rates — payouts cannot be issued to traders who have not passed. Combining published payout figures from the larger firms with conservative assumptions about average payout per trader produces estimates in the 5–15% range for traders who reach the payout stage.

Third, firm self-reporting. These figures are unconstrained and unverifiable. They range from 5% (firms selling discipline) to “over 40%” (firms selling accessibility). The dispersion alone tells you the figures are not measuring the same thing.

Anything more precise than “5 to 15 percent depending on firm and program” is currently beyond what the public evidence supports. That is a useful number to plan around.

Why the rate is structurally low

The evaluation rules combine in ways that make the 5–15% range unsurprising. Consider a typical two-step program: 8% profit target with a 5% daily loss and 10% static maximum drawdown, plus a 30% consistency rule and four minimum trading days.

To pass, the trader has to hit a specific shape of equity curve: at least 8% above starting balance within 30 days, with no daily drawdown exceeding 5%, no peak-to-trough drawdown exceeding 10% on absolute balance, no single day’s profit exceeding 30% of total profit, on at least four separate days, all while trading instruments and during sessions the firm permits.

The required shape is genuinely difficult, and the rules interact: trying to hit the profit target faster (which feels intuitive when you are pressured by the daily fee tick) tends to produce single big days that breach consistency. Trading conservatively to protect the daily limit tends to produce equity curves that miss the profit target inside the evaluation window. The rules force a specific style of trader behaviour, and the proportion of trader cohort that naturally exhibits that style is small.

This is the structural answer to “why is the pass rate so low.” It is not that the firm is cheating. It is that the rules are designed to favour a particular trader profile, and that profile is rare.

The math is necessary for the firm

There is a second reason pass rates have to stay in the low single-to-double digit range: the firm’s business model requires it.

A prop firm running a simulated-funded program is, in effect, running an internal payout pool. Evaluation fees, monthly subscriptions, and other revenue go into the pool. Trader payouts come out of it. For the pool to stay solvent, the number of evaluation-fee-payers needs to be sustainably larger than the number of fee-collecting payouts.

This is also why the firms with the longest operating records — FTMO, FundedNext, FundingPips, The5%ers, Apex, Topstep — have all converged on rule sets that produce pass rates in the high single-digit to low double-digit range. The math has been worked out across multiple market cycles. Firms that ran higher pass rates either lacked the data to know they were running unsustainably, or were buying volume at a loss to keep cash flow going. Almost all of them appear in our shutdown tracker.

Reinforcement: observable snapshot (2026-06-22)

Instead of self-reported claims, here are independently observable third-party numbers from our comparison table (point-in-time; Trustpilot scores and counts drift over time):

FundingPips: Trustpilot 4.5 / 58,747 reviews — the largest active review base by volume and account size
The5%ers: Trustpilot 4.7 / 30,269 reviews — long operating track record paired with a high score
MyFundedFutures: Trustpilot 4.9 / 19,286 reviews — top-rated among futures-only firms
Topstep: Trustpilot 3.4 / 13,981 reviews — large sample, lower score: an honest signal worth weighing
FundedNext: Trustpilot 4.5 / ~60,000+ reviews — sustained large profit-split volume
E8 Markets: $74M+ paid since 2021 (firm-disclosed)
FundingTicks: $220M+ cited by CEO at wind-down (see shutdown tracker)

These are the independent data points that back up the claim “firms can and do pay successful traders”. The 5–15% pass-rate band is consistent with these payout magnitudes by reverse engineering: if pass rates were materially above 30%, the firms’ financial model could not sustain payout volumes of this size.

What this means for you specifically

A 5–15% pass rate is not the same as a 5–15% pass rate for you, individually. The rate is the population average; your individual rate depends on whether your style matches the structure the rules favour.

The traders who pass evaluations consistently tend to share three traits:

They risk small per trade (typically 0.25%–0.5% of starting balance), accepting slower progress for higher survival rates against the daily and overall drawdown limits.
They distribute profit across days rather than concentrating it, because doing so passes consistency rules and avoids the equity-curve shapes that tend to breach trailing drawdowns.
They map the evaluation rules to their existing strategy rather than the other way around, and disqualify firms whose rules do not fit before paying.

If you do all three, your individual pass rate is meaningfully higher than the population average — by an amount that depends on how disciplined you actually are, which is hard to know in advance. If you do none of them, your individual pass rate is meaningfully lower.

The position-size calculator and the drawdown calculator are designed to operationalise the first two. The comparison table is designed to operationalise the third — you can filter for firms whose rules match your style and disqualify the rest.

The reframing

The question “what is the pass rate” is the wrong frame. The right frame is “is this a bet that, on the evidence available about my own discipline, has positive expected value at the evaluation fee in question.”

For most traders, the honest answer to that reframed question is no — and that is not necessarily a reason not to take the bet. Many discretionary purchases have negative expected value (a meal out, a trip, a hobby) and are worth the money for other reasons. Treating the prop evaluation as that kind of purchase — entertainment with a small probability of significant upside — is a more sober framing than treating it as a job application with a 5–15% success rate.

For a smaller subset of traders, the discipline and style match the structure well enough to make the expected value positive. Those traders are the ones the firms exist to find, and the firms have built the rule structure to filter for them efficiently.

Bottom line

The 5–15% pass rate band is a working estimate based on the evidence available in mid-2026; it is not a published audited number. The rate is structurally low and necessarily so. Your individual rate depends on how well your style matches the structure the rules favour — which is something you can measure against your own existing trading record before paying for an evaluation.

The reading order that makes this guide most useful: drawdown-limits explained → why traders fail evaluations → this guide → how to shortlist a firm.

This page is informational and is not investment advice.