Free prop firm challenge calculator. Simulate your odds of passing an evaluation from your win rate, reward to risk, risk per trade, profit target and max drawdown.
A prop firm challenge calculator estimates your probability of passing a funded trading evaluation before you risk the entry fee, using your win rate, reward to risk ratio, risk per trade, profit target, maximum drawdown, and number of trades. Instead of guessing whether your plan can clear a firm's rules, the calculator above turns those numbers into a realistic pass probability, a fail probability, an expected value per trade, and a plain assessment of whether your settings give you a fighting chance. The honest truth is that passing an evaluation is a risk management test far more than a profit test, and most challenge attempts fail. This tool exists to show you why, and to help you size your risk so the odds move in your favour.
A prop firm, short for proprietary trading firm, gives traders access to a funded account after they prove themselves in an evaluation, often called a challenge. You pay a fee, you must reach a profit target, and you must never breach the daily loss limit or the maximum overall drawdown. The calculator above models this exact situation. You feed in the qualities of your trading edge and the rules of the challenge, and it simulates thousands of possible outcomes to answer one question: given how you trade and how much you risk, how often would an attempt like this end in a pass rather than a blown account? It does not predict the future and it cannot promise you a payout. It gives you a probability, which is the only honest way to talk about trading outcomes.
Every input describes either your trading edge or the challenge rules. Getting these numbers honest is the whole game. Use your real, recorded results, not your hopeful ones.
The calculator returns four results. Pass Probability is the share of simulated attempts that reached the profit target without ever breaching the drawdown. Fail Probability is its mirror, the share that hit the drawdown or ran out of trades short of target. Expectancy per Trade is the average profit or loss you can expect from one trade, expressed in units of your risk, which is the mathematical heart of your edge. Assessment is a plain reading of the combination: whether your settings look survivable, borderline, or likely to blow up. Treat a high pass probability as encouraging, not as a guarantee, because a real challenge is a single run, and a single run can land anywhere in the distribution.
A Monte Carlo simulation, meaning a method that repeats a random process many times to see the range of results, is the engine behind the pass probability. The calculator does not run your challenge once. It runs it thousands of times. In each run it plays out a fresh sequence of trades, deciding win or loss at random according to your win rate, applying your reward to risk and your risk per trade to each result, and tracking the running balance. If a run reaches the profit target before touching the drawdown, it counts as a pass. If it hits the drawdown first, or runs out of trades, it counts as a fail. Because real trading delivers wins and losses in a random order, two traders with the exact same edge can get very different sequences: one strings losses together early and breaches the limit, the other rides an early winning streak to target. Averaging across thousands of these sequences is the only fair way to estimate your odds, and it exposes a hard truth that a simple average return hides: even a profitable edge can fail a challenge purely because of an unlucky order of losses.
This is the most counterintuitive result the calculator reveals. Bigger risk per trade reaches the profit target faster, so it feels efficient. But bigger risk also makes each losing streak deeper, and a deep streak is exactly what trips the drawdown and ends the attempt. When you cut risk per trade, each individual loss becomes a smaller dent in the account, so a normal cluster of losses no longer breaches the limit. You give up speed, but you buy survival, and survival is what a challenge actually rewards. The result is that a trader risking 0.5 to 1 percent per trade frequently shows a higher pass probability than the same trader risking 3 percent, even though the smaller size needs more trades to reach target. Slower and alive beats fast and stopped out. Protecting the drawdown matters more than hitting the target quickly, because you only need to reach the target once, but you can breach the drawdown only once too.
Every challenge is a race between two numbers: the distance up to your profit target and the distance down to your drawdown limit. The ratio between them decides how hard the challenge is. A rule set with a 10 percent target and a 5 percent drawdown is demanding, because you must make twice as much as you are allowed to lose, and you must do it without a single bad stretch. A rule set with an 8 percent target and a 10 percent drawdown gives you more room to absorb variance. When you change the target and drawdown inputs, watch how sharply the pass probability responds to the drawdown figure. A tighter drawdown almost always hurts your odds more than a higher target does, because the drawdown can end you at any moment, while the target only has to be reached by the end. This is why disciplined challenge traders obsess over the loss limit and treat the target as a by-product of not breaching it.
Run the calculator with a genuinely profitable edge and you will see that most failed attempts are not caused by a losing strategy. They are caused by a winning strategy sized far too large. A trader with a real edge risking 4 or 5 percent per trade can still fail the majority of the time, because the sequence of losses that any edge produces eventually gets deep enough to breach the drawdown. The strategy was fine. The position size killed it. This is the single most common and most avoidable mistake in funded trading. When the calculator's assessment turns negative despite a positive expectancy, the fix is almost always to reduce risk per trade, not to hunt for a new strategy. Discipline in sizing, not brilliance in entries, is what separates traders who get funded from those who keep buying new challenges.
A positive expectancy does not protect you if your risk per trade is too high. The order of your losses is random, and a large position size turns an ordinary losing streak into a drawdown breach. If the assessment reads badly while your expectancy is positive, lower your risk per trade before you change anything else.
Firms structure challenges in different ways, and the structure changes your odds. A one step evaluation gives you a single profit target to reach under the drawdown rules, then funds you. It is faster and often cheaper, but the drawdown pressure is unrelenting from the first trade. A two step evaluation splits the process into two phases, commonly a larger target in phase one and a smaller target in phase two, each under its own drawdown rules. Two step challenges usually carry gentler individual targets, which can raise the odds of any single phase, but you must survive the drawdown twice in a row, and the combined probability of clearing both phases is the product of the two. When you model a two step challenge, remember that passing phase one at, say, 70 percent and phase two at 80 percent gives a combined pass probability of only about 56 percent. Model each phase on its own terms and multiply the results for an honest overall figure.
Suppose your win rate is 50 percent, your reward to risk is 2, and you risk 1 percent per trade, aiming at an 8 percent target with a 5 percent maximum drawdown over up to 100 trades. Your expectancy per trade is (0.50 times 2) minus (0.50 times 1), which equals 1.0 minus 0.5, or 0.5R. In money terms that is 0.5 times 1 percent, meaning about 0.5 percent gained per trade on average. To reach 8 percent you need roughly 16 units of expectancy, well inside a 100 trade budget, and because each loss only costs 1 percent, a normal losing streak rarely reaches the 5 percent limit. The calculator returns a strong pass probability here, though never 100 percent, because an unlucky early cluster of losses can still end any single run.
Now keep everything from Example 1 identical, the 50 percent win rate and reward to risk of 2, but raise risk per trade from 1 percent to 3 percent. Expectancy per trade is still 0.5R, but each R is now worth 3 percent, so a single losing trade costs 3 percent of the 5 percent drawdown, and just two losses in a row wipe out the whole allowance. You reach the target faster on lucky runs, yet the pass probability drops sharply, because the ordinary losing streaks your 50 percent win rate produces now breach the drawdown before you can recover. Same strategy, same edge, far worse odds. This is oversizing failing a good plan, and it is the most important lesson the calculator teaches.
Suppose your win rate is 40 percent, your reward to risk is 1.2, and you risk 1 percent per trade. Expectancy per trade is (0.40 times 1.2) minus (0.60 times 1), which equals 0.48 minus 0.60, or minus 0.12R. This edge loses money on average, so every run drifts downward over time and the drawdown breach is only a matter of when. Lowering your risk per trade to 0.25 percent does not help, because it only slows the bleed, it does not reverse the sign. The calculator returns a very low pass probability and an assessment that says the edge itself is the problem. No sizing discipline can rescue a negative expectancy. The fix here is to improve the win rate or the reward to risk before spending money on a challenge.
| Firm | Market focus | Typical structure | Illustrative target | Drawdown style |
|---|---|---|---|---|
| FTMO | Forex, indices, CFDs | Two step | 10% then 5% | Static max loss with daily loss limit |
| Apex Trader Funding | Futures | One step | Varies by account, roughly 6% | Trailing threshold drawdown |
| Topstep | Futures | One step combine | Varies by account size | Trailing max loss plus daily loss |
| FundedNext | Forex, CFDs | One and two step models | 8% to 10% by model | Static or balance based, model dependent |
| The5ers | Forex | Multi step growth programs | Varies by program | Static max loss, program dependent |
The figures above are illustrative and were last verified in 2026. Prop firms revise their profit targets, drawdown mechanics, payout splits, and consistency rules frequently, and some run limited time promotions with different numbers. Trailing drawdowns in particular behave very differently from static ones, because a trailing limit follows your account higher and can stop you out after you were profitable. Enter the precise numbers from your chosen firm into the calculator above, and read the firm's rule document in full before you attempt an evaluation.
A calculator is only as honest as the numbers you feed it, and the only source of honest numbers is a real trading journal. Your win rate, your reward to risk, and your true average risk per trade all come from recorded trades, not from memory or hope. When you log every trade, you can plug your actual edge into the calculator and see a pass probability you can trust, then compare it against how you are really behaving inside a challenge. This is where OneTradeJournal helps. Its Funded Mode lets you enter your prop firm's profit target, daily loss limit, and maximum drawdown, then tracks each trade against those rules in real time, warning you before you approach a breach. Journaling turns the calculator from a one time estimate into a running feedback loop: log the trade, watch the drawdown, respect the limit, and let the discipline, not the speed, carry you to the target.
Use the calculator above as a planning tool, not a crystal ball. Enter your real edge and your firm's exact rules, respect what the pass probability and assessment tell you, and remember that protecting the drawdown always matters more than reaching the target fast. The traders who get funded are rarely the boldest, they are the most disciplined. Log every trade, track your prop firm rules with Funded Mode on OneTradeJournal, and let honest numbers, patient sizing, and a positive expectancy do the work. None of this is a promise of profit or financial advice, only a clearer, calmer way to give your next evaluation the best odds you can.
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A Monte Carlo estimate of your odds of passing the evaluation.