Price risk excludes commissions and slippage. The cost input is multiplied by contracts and applied separately.
Pass the target.Protect the drawdown.
Choose a prop-firm evaluation, load its published loss limits and target, then pressure-test your risk size against the rules before taking a trade.
Model the prop-firm rules before the trade.
Start with a firm preset, verify the current agreement, then adjust risk and strategy assumptions. The output shows expectancy, target pace, daily-loss runway, and total-drawdown runway.
Build a prop firm risk model
Configure your firm rules and trading assumptions.
- $2,000 end-of-day Maximum Loss Limit
- No standard daily loss limit in the base evaluation
- Personal planning stop: $1,500; this is not a firm loss limit
- Optional DLL add-on uses a $1,000 intraday soft pause; confirm your checkout selection
Prop firm expectancy scenario
Total risk budget before account failure
+0.77R after costs
30 trades per month
Simplified monthly outcome after estimated costs. Assumes the same risk size while every trade remains inside the selected firm's loss rules.
Find My Best Risk
| Risk per trade | % of drawdown | Position plan | Trades to target | Losses to failure | Risk profile |
|---|---|---|---|---|---|
| 5% of drawdown | ES · 1 × 8 ticks | ~39 trades | 19 losses | Conservative risk | |
| 7.5% of drawdown | ES · 1 × 12 ticks | ~26 trades | 13 losses | Balanced risk | |
| 10% of drawdown | ES · 1 × 16 ticks | ~20 trades | 9 losses | Moderate risk | |
| 15% of drawdown | ES · 1 × 24 ticks | ~13 trades | 6 losses | Aggressive risk |
Futures price risk is calculated from contract count × stop ticks × exchange tick value; modeled costs are added separately. Preset names and rule summaries are educational comparison references, not endorsements. Programs can differ by platform, add-on, purchase date, region, evaluation phase, or funded phase. Always verify current exchange specifications, the firm agreement, and your account dashboard before trading.
Three checks before scaling.
Protect the downside
Choose the dollar risk before thinking about the possible reward. A model is only useful if a losing sequence remains survivable.
Measure expectancy
Win rate has to be read beside average win and average loss. A high win rate can still lose money when losses are too large.
Track realized results
Compare the model with fills, costs, rule adherence, and actual outcomes. Update assumptions from a consistent sample—not one trade.
Bring the model into a rules-based workspace.
Use ORBLYTICS to review certified sessions, target hit rates, and rule-specific outcomes before deciding how an expectancy model fits your own risk plan.
Educational scenario only. Outputs use the assumptions you enter and do not predict future results. Trading involves substantial risk, and actual results may differ because of losses, slippage, fees, liquidity, taxes, changing market conditions, and execution decisions.