How to pass a prop firm challenge: what the numbers show

In our simulation, risk per trade decided most outcomes. The same trader (45% winners, winners 1.5x losers) passed 81.8% of 20,000 challenges at 1% risk per trade but only 40.2% at 3%, because big size hits the 5% daily limit. At 0.25% almost nobody failed - but 81.0% had not reached the 10% target after 60 days. A trader with no edge still passed 45.4% at 1% risk: passing is not proof of skill.

Checked 5 November 2026 · sources below

20,000 simulated challenges per row: 10% target, 10% static max loss, 5% daily loss, 3 trades a day, 60 trading days

What this means in plain words

• Too big fails fast. At 2-3% per trade, three losers in a row on one day is 6-9% - past a 5% daily limit. More than half of the accounts with an edge failed.
• Too small runs out of time. At 0.25% per trade the edge is real but slow; most accounts were neither passed nor failed after 60 days.
• Luck passes people. With no edge at all, about 45% passed at 1% risk - and about 48% failed. A pass on its own says little about skill; the payout phase is where an edge has to show.

A different trader, and a simple day stop

We repeated the test for a second kind of trader - a scalper who wins 60% of trades but whose winners are only 0.8x the losers, 6 trades a day. Same pattern: 80.4% passed at 0.5% risk, 78.0% at 1% and only 53.8% at 2%. Then we gave the first trader one extra rule: stop for the day after losing 2R (two full losses). At 2% risk per trade the pass rate rose from 44.1% to 69.8%, because the day stop keeps one bad day inside the 5% daily limit. At 3% it barely helped (40.5%): two losses there are already 6%.

A routine that keeps you inside the rules

1. Before the challenge: write the firm's daily loss, maximum loss (static or trailing) and reset time on one card.
2. Size from the daily limit, not the target: pick a risk per trade so that your usual worst losing streak in one day stays under about half the daily limit.
3. Day stop: stop trading after a set loss (for example 2R) - in our test this one rule lifted the pass rate at 2% risk from 44% to 70%.
4. No size-up after losses: bigger trades right after a loss (revenge trading) are the habit our Trade Autopsy finds most often in losing trade files.
5. Weekly check: compare your real win rate and average win/loss with what you assumed; if they are worse, cut size before the rules do it for you.

Published pass rates

Firms rarely publish audited pass rates. Figures quoted in industry articles (for example 'about 14% pass') are usually firm-reported or from one firm, and we could not verify them. Our numbers above are a simulation of one simple trader, not a survey of real accounts - they show how the rules and size interact, not what any firm's traders achieve.

Tools for each step

Work out the size that keeps one bad day inside the daily limit, using your own losing streaks, with the prop firm challenge calculator. Check whether your floor trails (trailing vs static) and whether a consistency rule applies to payouts.

Questions

What risk per trade passes most prop challenges?

In our simulation of one trader with a small edge, about 1% per trade passed most often (82%); 0.5% passed 69% with very few fails but many unfinished. Your own win rate and streaks change this.

Why do most traders fail prop firm challenges?

In our test, size: at 2-3% per trade most failures came from the daily loss limit, not from the overall drawdown.

Does passing a challenge prove a strategy works?

No. A simulated trader with zero edge passed 45% of challenges at 1% risk per trade.

Is there a time limit?

Many 2-step forex plans now have no time limit; we used 60 trading days to show how slow very small sizes are.

Sources

• FTMO: Trading Objectives (targets and loss limits)
• Benzinga: How to pass a prop firm challenge (industry article)