Prop-Firm Evaluation Odds
How often does a trader with no edge pass a prop-firm evaluation? We simulated it.
About 1 in 5 pass by luck (base case)The challenge rewards variance. Skill is optional.
Simulated evaluations: 240,000+ · Real firm rules used: none (generic) · Interactive version: simulator
Short answer: luck alone passes a prop firm challenge more often than most people expect. Under generic rules (a $50,000 account, a $3,000 profit target and a $2,000 loss limit), a trader who flips a coin on every trade passes about 20% to 22% of attempts with a trailing drawdown. Reported industry pass rates run from roughly 5 to roughly 20 percent.
00The verdict in three lines
- Under generic rules like many evaluations use (a $50,000 account, a $3,000 profit target and a $2,000 loss limit), a trader who flips a coin on every trade and pays only commission passes about 20% to 22% of attempts with a trailing drawdown, and up to 29% with a fixed one.
- Betting bigger raises the pass rate: 8.8% at $100 risk per trade, 21.6% at $800. The evaluation rewards variance, which is not the same as skill. And slippage kills it: add one tick of slippage on each fill and the same coin-flipper's chance falls from 15.6% to 0.5% at $200 risk.
- Our buried Supertrend, which loses money on average, would still have passed 30% of its 12-month starts under fixed-drawdown rules, in hindsight. Passing an evaluation says very little about whether a strategy has an edge.
01The rules we model
Firms differ, so we don't copy anyone's. We model the common structure: an account, a profit target, and a maximum loss that either stays where it is (static) or follows your balance up (trailing), measured at the end of each day or after every trade. Every check uses the balance after each closed trade; what that leaves out is explained under section 03. Everything is a parameter, and you can change all of it in the simulator.
| Setting | Illustrative value |
|---|---|
| Account | $50,000 |
| Profit target | $3,000 (6%), checked at the end of the day |
| Maximum loss | $2,000 (4%): static, trailing end-of-day, or trailing after each closed trade. A trailing floor stops rising once it reaches the starting balance. |
| Trades | 4 per day, each winning or losing a fixed amount, 50% win rate, 1:1 reward to risk |
| Minimum days | 5 trading days |
| Time limit | None (capped at 500 trading days) |
| Costs | Commission only: 2.9% of the risk per trade (about $5.76 on $200 of risk, as for one ES contract). We also show slippage. |
The trader has no edge before costs: wins and losses are the same size and equally likely. That is the baseline we care about: what does luck alone achieve?
02First, check that the simulator is right
For a coin-flip trader with no costs and a fixed loss limit, mathematics gives an exact answer, the classic gambler's-ruin result: the chance of hitting the target before the loss limit is loss limit ÷ (target + loss limit). Our simulator should reproduce that.
| Target | Loss limit | Formula | Simulated |
|---|---|---|---|
| $3,000 | $2,000 | 40.0% | 39.6% |
| $3,000 | $3,000 | 50.0% | 49.0% |
| $4,000 | $2,500 | 38.5% | 38.2% |
| $6,000 | $3,000 | 33.3% | 33.1% |
| $3,000 | $1,500 | 33.3% | 31.1% |
The simulation agrees with the formula to within 0.2 to 2.2 percentage points, and is always at or below it. That is expected: the profit target is only checked at the end of each day, as in most evaluations, so a run that touches the target mid-day and then slips back does not count. This also shows how the shape of the rules sets the odds before any trader's skill: a bigger target relative to the loss limit means a lower chance, even with perfect luck on average.
03A coin-flip trader, by size and drawdown rule
| Risk per trade | Static | Trailing end-of-day | Trailing after each closed trade | Median days to pass (trailing EOD, passed attempts only) |
|---|---|---|---|---|
| $100 | 12.0% | 8.8% | 8.5% | 99 |
| $200 | 22.9% | 15.9% | 14.9% | 29 |
| $400 | 28.2% | 19.7% | 17.6% | 10 |
| $800 | 28.6% | 21.6% | 17.8% | 5 |
Each pass rate in sections 03 to 05 comes from 20,000 simulated attempts, so its 95% interval from the simulation alone is at most ±0.6 percentage points. The median days to pass count only the attempts that passed.
What “trailing after each closed trade” leaves out. The simulator checks the loss limit on the balance after each closed trade. Firms with an intraday trailing rule usually measure open equity as prices move: the floor also rises with unrealised profit, and a dip inside a trade can hit it. The static and end-of-day rules have the same blind spot for a dip inside a winning trade. Both effects can only add breaches, so for the same trades, a rule measured on open equity passes as often or less often than these columns show. Modelling it would need the path of every trade, which this simple simulation does not have.
- Size helps a gambler. Small bets bleed to costs for months before they reach the target. Large bets reach the target (or the loss limit) quickly, before costs accumulate.
- The trailing rules cost about 9 percentage points at $400 risk compared with a fixed loss limit (28.2% against 19.7%), because the floor rises with every good day and takes away your cushion.
- The rest of the attempts fail. At $400 risk, 80% of trailing-EOD attempts end in a breach.
04Costs: the quiet killer
| Costs | Pass at $200 risk | Pass at $400 risk |
|---|---|---|
| no costs | 25.1% | 26.8% |
| commission only | 15.6% | 19.9% |
| commission + half a tick of slippage each side | 3.6% | 10.5% |
| commission + 1 tick of slippage each side | 0.5% | 4.5% |
Trailing end-of-day drawdown. A few dollars of costs per trade, repeated, push a coin-flip trader's equity down steadily. At $200 risk, going from commission only to one tick of slippage on each fill takes the pass rate from 15.6% to 0.5%. For a real strategy this means the same thing it meant in our backtests: if you use market orders and a small stop, costs can decide the result.
05Adding a daily loss limit
| Daily loss limit ($400 risk, 4 trades a day) | Pass | Breach |
|---|---|---|
| none | 20.8% | 79.2% |
| $1,500 | 18.1% | 81.9% |
| $1,000 | 13.1% | 86.9% |
| $800 | 3.7% | 96.3% |
A tight daily limit removes the bad days a gambler needs to survive, and takes the pass rate down to 3.7%. Read the daily-loss rule as carefully as the drawdown rule.
06The fee arithmetic
With a pass probability of 19.7% (the $400, trailing end-of-day, commission-only case), a coin-flipper needs about 5.1 attempts per pass. At an illustrative fee of $150 per attempt, that's about $762 in fees for each pass ($508 at $100 per attempt, $1,270 at $250). We have not modelled the funded stage, payouts or any firm's actual prices, so treat this as arithmetic, not a verdict on any firm.
The point: a pass rate that looks respectable on its own can still mean paying for many failed attempts to get one pass, and passing says nothing about whether the funded stage will pay.
07What about our real strategies?
We replayed the trade logs from our two published tests (MES-sized, so one tenth of the ES results), starting a fresh evaluation at every single trade and following it for 12 months (365 calendar days), under the same generic rules. The logs book each result on the day the trade closed, so a trading day here is a day on which at least one trade closed, and the 5-day minimum counts those days. Only starts with a full 12 months of data before the end of the data (25 September 2026) are counted; the later ones (53, 98 and 193 starts) are left out, because their outcome is unknown. Every counted attempt ends in one of three ways: it passed, it breached, or it expired after 12 months with neither.
| Strategy | Attempts | Avg trade | Static: pass / breach / expired | Trailing EOD: pass / breach / expired | Median days to pass, static (calendar / trading) |
|---|---|---|---|---|---|
| The RSI(2) Dip Buyer, long only | 359 | $6 | 0% / 0% / 100% | 0% / 0% / 100% | – |
| Supertrend, hourly long only | 574 | $15 | 32% / 19% / 50% | 32% / 51% / 18% | 261 / 68 |
| Supertrend, classic long + short | 1,146 | -$2 | 30% / 52% / 18% | 22% / 75% / 3% | 184 / 75 |
- Classic Supertrend loses money on average (about $2 a trade on a micro contract). Yet it passed 30% of its 12-month attempts under static rules, about as often as a coin-flipper risking $400 to $800 a trade (28.2% to 28.6%). That's what luck, plus a rising market, can do.
- The RSI(2) Dip Buyer never passed and never failed: all 359 of its attempts expired, without hitting the loss limit or reaching the target. Its average trade is only $6 on a micro contract, so about 60 trades a year can't reach $3,000 in 12 months.
- The trailing rules hit the same strategy much harder: classic Supertrend breached in 52% of static attempts and 75% of trailing ones.
- The passes were slow: a median of 184 calendar days (75 trading days) for classic Supertrend. The 5-day minimum made no difference here: the table is the same without it.
Caveats: starting a new attempt at every trade makes the attempts overlap, so they are not independent, and no simple confidence interval applies to these rates. Our logs record each trade's result, not its path, so drawdown inside a trade is not modelled and the breach rates are, if anything, too low. The period was mostly a rising market, and the pass rates are in hindsight.
08What this means, and what it doesn't
- It means that a pass can come from luck, from large position size, or from rules that happen to suit a style, with no real edge behind them. Passing one evaluation is insufficient evidence of a trading edge, and failing one is insufficient evidence against it.
- It doesn't mean evaluations are scams, or that nobody has an edge. A trader with a real edge does much better than these numbers, and the simulator will show you by how much.
- We did not model: the funded stage and payouts, consistency rules, news-trading restrictions, scaling plans, resets or reset prices, a firm's real fees and any firm's actual rules. Rules change often, so check the current ones before you pay for anything.
- The simulation is simple: independent trades, a fixed number per day, fixed-size wins and losses, and loss limits checked on closed trades only. Real trading is lumpier.
vsWhat real firms report, and how it compares with luck
Firms publish few numbers, and the ones in circulation are self-reported or relayed secondhand. Two examples we looked at, with what each does and does not say:
- The CEO of The Funded Trader told Finance Magnates (18 March 2025) that its challenge pass rate ranges from 5 to 10 percent, and that about 20 percent of funded traders receive payouts. The article gives no sample size or method.
- A statistics roundup on Fortunly relays 14 percent of evaluation participants reaching funded status (a dataset by FPFX Tech covering more than 100,000 traders across 10 firms), and pass rates of 20.3 percent for one-step and 11.8 percent for two-step challenges (an analysis by Swiset of more than 10,000 traders from April 2024 to April 2025). We have not checked the original datasets.
So the figures in circulation run from roughly 5 to roughly 20 percent. Under our generic rules a trader who flips a coin on every trade passes about 20% to 22% of attempts with a trailing drawdown. Real firms' rules differ from ours, so this is a caution and not a proof, but it shows why passing a challenge is weak evidence of skill: the reported range overlaps with what luck alone can produce.
09Try it with your own rules
Put in your own account size, target, loss rules, win rate and costs, and see the pass probability and the expected number of attempts. It runs in your browser, nothing is sent anywhere.
TWhat this shows, and what to take into your own tests
What the results show
- In our base case ($400 risk a trade, a trailing end-of-day loss limit, commission only), a trader who flips a coin on every trade passes about one evaluation in five. Across the sizes and loss-limit types in section 03 the figure runs from 8.5% to 28.6%, and betting bigger raises it.
- Slippage and a tight daily loss limit cut the pass rate sharply.
- Our classic Supertrend, which loses money on average, would have passed about as often as a coin-flipper betting big.
What remains unknown
- Any real firm's rules, prices or pass rates. We used generic, illustrative rules.
- The funded stage, payouts, consistency and news rules, and resets.
- How a trader with a genuine edge compares. The simulator can show you for your own numbers.
Why a pass is weak evidence
A pass is a weak signal because the evaluation is a short random walk with a profit target and a loss limit. The rules, the bet size and the costs decide the odds before any skill does.
What you can apply to your own tests
- Put the firm's real rules into the simulator and read the pass probability.
- Multiply the cost per attempt by the number of attempts you would expect per pass.
- Read the daily loss rule and the drawdown type as carefully as the profit target.
- Do not treat one pass as evidence of an edge, or one failure as evidence against it.
A note on the numbers: drawdown figures are measured on closed trades unless a table says it includes open losses. Open losses inside a trade are not counted in a closed-trade drawdown, so real account risk is higher, especially for systems with no stop. Backtests are not live trading.
FAQCommon questions
What percentage of traders pass prop firm challenges?
Firms publish few figures and the ones in circulation are self-reported or secondhand. The Funded Trader's CEO said 5 to 10 percent (Finance Magnates, March 2025); a Fortunly roundup relays 14 percent reaching funded status (FPFX Tech, more than 100,000 traders across 10 firms) and 20.3 percent for one-step and 11.8 percent for two-step challenges (Swiset, more than 10,000 traders). We have not checked the original datasets.
What are the chances of passing a prop firm challenge?
It depends on the rules and on your edge. A trader with no edge before costs, flipping a coin on every trade, passed about 20% to 22% of our simulated attempts under generic rules ($50,000 account, $3,000 target, $2,000 trailing loss limit); reported industry pass rates run from about 5 to about 20 percent. Costs and a daily loss limit lower the odds, and passing is not the same as getting paid. Try your own rules in the simulator.
Can luck alone pass a prop firm challenge?
Yes. In our simulation a trader with no edge before costs, who flips a coin on every trade, passes about 20% to 22% of attempts under generic rules with a trailing drawdown, and up to 29% with a fixed one. Real firms' rules differ.
Does risking more per trade raise the chance of passing a challenge?
In our simulation it does: 8.8% at $100 of risk per trade and 21.6% at $800, for the same coin-flipping trader. Evaluations reward variance, which is not the same as skill.
How much do trading costs matter for passing a prop firm challenge?
A lot. Adding one tick of slippage on each fill cut the same coin-flipper's pass rate from 15.6% to 0.5% at $200 of risk per trade.
Is there a free prop firm challenge simulator?
Yes. Our simulator runs in your browser: enter your account size, target, loss rules, win rate and costs to see your pass probability and expected fees. Nothing is sent anywhere.
10Check our arithmetic
Code provenance: our own code, written from the standard gambler's-ruin result and generic evaluation rules. No third-party source code is used or published. The scenario script reads the trade logs of our two earlier posts.
11Corrections
7 Oct 2026, before publishing: our first run of the check in section 2 showed 0.8% instead of 40%; the cause was a time cap that was too short for the small steps, not the simulator, and the check was rerun with a long enough cap before anything was published. Also 7 Oct 2026: added the "What this shows, and what to take into your own tests" section and a note that drawdown is measured on closed trades. No result changed. Also 7 Oct 2026: a sentence in section 08 was reworded from "with no edge at all" to "with no real edge behind them" for precision. No result changed. 8 Oct 2026, after a reader's review of the code: (1) The historical replay (section 07) counted calendar days, not trading days, for the 5-day minimum; it now counts days on which a trade closed. This changed no result: the table is the same with or without the 5-day minimum. (2) The replay counted the starts in the last 12 months of the data, which could not run a full 12 months, as still open; they are now left out (53, 98 and 193 starts), and the window is now exactly 365 days (it was 366). Together these moved the static pass rates from 0%, 27% and 26% to 0%, 32% and 30%, and the trailing ones from 0%, 27% and 20% to 0%, 32% and 22%; the table now shows the expired attempts and the median in calendar and trading days. (3) The rule called “trailing intraday” was described as measured on every tick, but the simulator checks the balance after each closed trade; it is renamed “trailing after each closed trade” and what that leaves out is explained in section 03. (4) The headline now names the base case, and “a passed evaluation isn't evidence of an edge” now reads “passing one evaluation is insufficient evidence of a trading edge”. (5) The 95% interval of the simulated rates, and that the median days to pass count passed attempts only, are now stated. The simulator now shows the 500-day cap, splits the results into passed, breached, expired and still open, and gives a 95% interval. Sections 01 to 06: rerunning the script reproduced every number exactly. 9 Oct 2026: in the takeaways section, the heading “Why it failed”, a template heading meant for strategy tests, now reads “Why a pass is weak evidence”. No result changed. 21 Oct 2026, search and navigation: added a FAQ answer on the chances of passing a prop firm challenge, with a link to the simulator. No result changed. 8 Oct 2026, search and navigation: added a section comparing industry-reported pass rates (with their sources) to our luck-only simulation, an answer-first line, a FAQ and links to related pages. No simulation result changed.