Find your optimal risk per trade to minimize cost and time to funding
Recommended budget (90% confidence)
Risk % | Pass Rate | Avg Trades to Pass | Expected Total Trades | Expected Cost | 90% Confidence Cost | 5+ Failure Risk |
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Most traders drastically underestimate the true cost and difficulty of prop firm challenges. Simple calculators show "average" pass rates but ignore the financial reality: failed challenges lose 100% of fees paid, and most traders need multiple attempts before succeeding.
This advanced Monte Carlo simulator runs 10,000 realistic trading scenarios using your actual strategy parameters. Unlike basic calculators, it accounts for risk compounding, variable position sizing, and the psychological pressure of drawdown limits. You'll see not just your "expected" costs, but how much you should budget for a 90% chance of success.
Whether you're evaluating single-phase or two-phase challenges, comparing different prop firms, or optimizing your risk management approach, this calculator provides the realistic data you need to make informed financial decisions. Many traders discover their strategies aren't profitable enough for challenges, or that they need to budget 3-5x more than initially planned.
Bottom line: This calculator can save you thousands of dollars by showing realistic success probabilities and proper budget planning before you risk real money on challenge attempts.
Set your realistic win rate and risk/reward ratio. Most profitable strategies have 35-65% win rates with 1:1.5 to 1:3 risk/reward ratios.
Choose between single-phase or two-phase challenges. Most major prop firms use two-phase systems where you must pass an evaluation phase, then a verification phase.
Enter the funded account size you're targeting and the profit split percentage the prop firm offers.
Choose your risk per trade as a percentage of account balance. Conservative traders use 0.5-2%, aggressive traders use 3-5%.
Click "Run Simulation" to calculate your success probability and expected costs using 10,000 Monte Carlo simulations.
Review the complete results table to find your optimal risk level that balances pass rate with completion speed.
Percentage of challenges you'll successfully complete. Above 50% is good, above 70% is excellent for most strategies.
How many times you'll likely need to attempt the challenge before passing, based on 90% confidence level.
Expected cost is the mathematical average. 90% confidence cost is what you should budget to have a 90% chance of success.
Typical number of trades needed to reach the profit target in a successful attempt. Lower numbers mean faster completion.
Probability of failing 5 or more challenges in a row. High percentages indicate you might face long losing streaks.
Shows the minimum return you need on your funded account to recover the challenge costs and break even.
Most traders claim 60-80% win rates but actually achieve 35-50%. Be honest about your backtested results over hundreds of trades.
Risk per trade compounds as your account grows or shrinks. A losing streak reduces position sizes, making recovery harder.
Claiming 1:3 or 1:4 risk/reward ratios when your actual average trades achieve 1:1.2. Use realistic backtested data.
Only budgeting for one attempt instead of using the 90% confidence cost. Failed challenges lose 100% of the fee paid.
Using 5-10% risk per trade creates high volatility and drawdown risk. Most successful funded traders use 1-2% maximum.
Attempting challenges without extensive backtesting and forward testing your strategy on demo accounts first.