Challenge simulator
Test your strategy against evaluation rules. Explore completion, time and costs with reproducible scenarios.
Results
A model, with visible assumptions
See how your strategy holds up
Choose an evaluation or define your own rules, then run the model to estimate completion within a fixed trade budget.
- 01Pick a challenge and review its rules.
- 02Enter your win rate, reward-to-risk ratio and fixed risk.
- 03Compare completed, breached and incomplete scenarios.
Closed-trade model · reproducible seed · no account required
Choose a challenge or use Custom
How it works
- Choose a challenge
Select a firm, program and account, or use your own rules.
- Set your strategy
Enter your win rate, reward-to-risk ratio and fixed risk.
- Run and explore
Review the outcomes. Adjust your assumptions and run again.
How should I read the results?
Passed means every phase completed; breached means a modeled rule was broken. Incomplete means the trade budget ran out. All three count toward the completion rate. The 95% interval describes sampling uncertainty under your assumptions, not certainty about your real win rate. Time estimates count trading days among successful scenarios only.
What do the cost estimates include?
Attempts use 1 divided by the completion probability, assuming independent, identical attempts. Entry-fee estimates require a known one-time fee, at least one pass and no incomplete scenarios. Monthly billing, activation, resets and refunds are excluded. Fees retain their original currency.
What assumptions does the model make?
The Monte Carlo model generates independent trade outcomes using a constant win rate and reward-to-risk ratio. Risk is a fixed percentage of initial capital. Advanced settings control the number of scenarios, trade budget and seed. The same inputs and seed reproduce the same result.
What are the model’s limits?
Only closed-trade balances are modeled. Open-position drawdown, spreads, commissions and slippage are excluded. Firm-specific restrictions may also fall outside the model; review the selected program’s scope and source rules. Results depend on your assumptions and do not guarantee real-world completion.
