Research
Prop Firm Evaluation Statistics
How often futures evaluations pass, what ends them, and how long they take. Every number here is generated from the firms' published account rules — none of it is quoted.
All four from the simulation described below. Modelled estimates, not measured industry figures.
How these numbers were made
In one line
- The same evaluation model as our Prop Firm Simulator, run 20,000 times per cell with a fixed seed so the tables are reproducible.
- Inputs are each firm's published profit target, trailing drawdown and daily loss limit.
- No firm publishes real pass rates, so nothing on this page is quoted from one.
Where this model is wrong (read before citing it)
- Trailing drawdown is checked once a day, on the closing balance. Apex's real threshold moves intraday, so the Apex numbers here are optimistic, not conservative.
- Consistency and minimum-day rules are not simulated. Topstep's 10-day minimum and five-winning-day requirement make the real Topstep figure worse than shown.
- Trades are independent. No regime, no streaks, no correlation between bad days — real losing runs cluster, which pushes real pass rates below these.
- One trader, one attempt. Nothing here models tilt, revenge trading or rule changes mid-evaluation.
Every limitation above pushes the same direction: treat these as a ceiling.
Pass rate vs. edge
The most useful thing this simulation shows is that a passed evaluation is weak evidence of a working strategy. At exactly zero expected value per trade, evaluations still pass:
| Win rate | Payoff ratio | EV / trade | Pass rate | Accounts per pass |
|---|---|---|---|---|
| 35% | 1.857 | $0.00 | 32.7% | 3.1 |
| 40% | 1.5 | $0.00 | 31.0% | 3.2 |
| 45% | 1.222 | $0.00 | 28.0% | 3.6 |
| 50% | 1 | $0.00 | 25.4% | 3.9 |
| 55% | 0.818 | $0.00 | 22.0% | 4.5 |
| 60% | 0.667 | $0.00 | 17.8% | 5.6 |
$50k Apex. Payoff ratio set to exactly break-even for each win rate, so EV per trade is $0.00.
Add a real edge and the curve moves fast. Same account, payoff ratio fixed at 1.25:
| Win rate | EV / trade | Pass rate | Median days | Accounts per pass |
|---|---|---|---|---|
| 35% | -$31.88 | 0.1% | — | over 100 |
| 40% | -$15.00 | 2.9% | 34 | 35 |
| 45% | $1.88 | 35.4% | 41 | 2.8 |
| 50% | $18.75 | 88.3% | 31 | 1.1 |
| 55% | $35.63 | 99.3% | 20 | 1.0 |
| 60% | $52.50 | >99.9% | 14 | 1.0 |
What actually ends an evaluation
This flips completely depending on how much you risk per day — which is why "most people fail on the daily loss limit" and "most people fail on drawdown" are both true, for different traders.
| Risk per day | Worst realistic day | Pass rate | Failed on drawdown | Failed on daily limit | Ran out of time |
|---|---|---|---|---|---|
| 2 x $150 | $390 | 18.9% | 67% | 0% | 33% |
| 4 x $150 | $780 | 29.5% | 95% | 0% | 5% |
| 4 x $300 | $1,560 | 23.8% | 25% | 75% | 0% |
| 8 x $300 | $3,120 | 24.2% | 7% | 93% | 0% |
| 4 x $600 | $3,120 | 24.9% | 2% | 98% | 0% |
| 8 x $600 | $6,240 | 31.3% | 1% | 99% | 0% |
Topstep $50k, 46% win rate, 1.2 payoff. Daily limit $1,000.
Apex has no daily loss limit on evaluations, so 94% of simulated Apex failures are trailing-drawdown breaches and the rest are simply running out of time.
Does a bigger account make it harder?
Only if you keep trading it like a small one. Targets and drawdowns scale together, so scaled risk keeps the odds flat:
| Account | Risk / trade (scaled) | Pass rate | Risk / trade (flat) | Pass rate |
|---|---|---|---|---|
| $25k | $75 | 34.7% | $150 | 39.8% |
| $50k | $150 | 34.8% | $150 | 34.5% |
| $100k | $300 | 35.1% | $150 | 7.5% |
| $150k | $450 | 34.5% | $150 | 0.6% |
$50k Apex baseline, 46% win rate, 1.2 payoff. "Scaled" risks the same fraction of the account on every size; "flat" risks $150 per trade on all four.
Measured strategies, not just models
Three results from our own strategy research, each measured on real historical trades rather than simulated from rules alone:
| Strategy | Account | Pass rate | Method |
|---|---|---|---|
| ES eval-passer (customer build) | $50k Apex | 32.2% | Block-bootstrap Monte Carlo. Median 1 day to pass, ~3.1 accounts per pass. |
| MGC eval-passer | Apex | 48.0% | 385 trades, 39% win rate, 1.93 profit factor. 10,000 sims, 12 contracts. |
| MNQ trend strategy | $250k Apex | 0% | Pass within one month, at every position size from 1 to 10 contracts. |
What nobody can tell you
Why there is no real "industry pass rate"
No futures prop firm publishes evaluation outcomes, and none is required to. Specific percentages circulating online are almost always either unsourced, taken from forex CFD firms with different rules, or marketing.
Even a real number would be hard to use: it would blend one-attempt traders with people running twenty accounts at once, and firms that let you reset cheaply with firms that do not.
Things we deliberately left off this page
- Per-firm published pass rates — they do not exist.
- Average trader profitability — not something we can observe.
- Payout statistics — firms publish totals paid, never the denominator.
Strategies built around these constraints
Every strategy we sell is built for the drawdown geometry above — the buffers are already dialled in.
View Plans — From $24/mo Run your own numbersInvite-only on TradingView · Monthly subscription · Cancel anytime
FAQ
What percentage of traders pass prop firm evaluations?
No futures prop firm publishes its pass rate, so any specific percentage you see quoted is almost certainly unsourced. What can be established is the shape of the problem: simulating the published rules of a $50k Apex account at a realistic profile gives a pass rate near 35% per attempt, or roughly 2.88 accounts per funded account. Treat that as a modelled estimate, not a measured industry figure.
What is the most common reason evaluations fail?
It depends entirely on how much you risk per day, and it flips. At modest per-day risk the trailing drawdown ends almost every failed evaluation - 95% of Topstep failures in our simulation at 4 trades a day risking $150. Raise that to 8 trades at $600 and the daily loss limit takes over at 99%. Apex has no daily loss limit on evaluations at all, so trailing drawdown is effectively the only way to fail other than running out of time.
Does a bigger account make the evaluation harder?
Not by itself. Profit targets and drawdown limits both scale with account size, so if you scale your position size in the same proportion the odds barely move - our simulation gives 35% on a $25k account and 34% on a $150k account with risk scaled. What does hurt is trading a big account at small-account size: the same $150 per trade on a $150k account drops the modelled pass rate to 0.6%, because the target is three times further away and the drawdown has three times as long to catch you.
Can a strategy with no edge still pass an evaluation?
Yes, and this is the single most misunderstood thing about evaluations. Simulated at exactly zero expected value per trade, a $50k Apex evaluation still passes between 18% and 33% of the time depending on the win rate and payoff ratio chosen. A fixed profit target with a trailing drawdown is a bounded bet, and bounded bets have a real chance of finishing on the right side even with no edge. It also means a single passed evaluation is not evidence that a strategy works.
How long does a prop firm evaluation take?
In our simulation of a $50k Apex account at a realistic profile, the median successful evaluation finishes in 43 trading days, but the spread is wide - the slowest tenth of passes take 76 days or more. Minimum-trading-day rules set a floor regardless: Topstep requires 10 trading days and five winning days of at least $200, so a Topstep evaluation cannot finish faster than that no matter how quickly you reach the target.
Simulation run 2026-08-26 · 20,000 runs per cell · seed 20260826 ·
generated by research/eval-stats-sweep.js.