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ORB Pro

Prop firm evaluations

Built for prop firm challenges

ORB Pro was designed with the constraints of prop firm evaluations in mind — tight, repeatable risk and a high positive-day rate. Below is a historical simulation of how the backtest would have fared against common evaluation rules.

The figures on this page are a historical simulation over the real backtest — not a prediction, and not a guarantee of passing any evaluation. See the assumptions and risk note below.

Historical pass rate

~96.1%

Reached the target before breaching the limit

Drawdown breaches

0 in backtest

Trailing max-loss limit never hit at conservative sizing

Median time to target

~7–8 months

126 trading days · steady, not a sprint

The trade-off is honest: at conservative sizing this is a marathon, not a sprint. Roughly 3.9% of start windows had not reached the target within a year. Larger position sizing shortens the timeline — but raises the chance of breaching the drawdown limit, as the table below lets you compare.

Why the profile fits evaluations

Small, consistent risk per trade

Fixed risk on every entry keeps the equity curve smooth — exactly what a trailing maximum-loss limit rewards.

High positive-day rate

79.5% of trading days in the backtest closed positive, so the account tends to grind toward the target rather than lurch.

Shallow drawdowns

The worst intraday dip in the backtest was well inside common trailing limits at conservative sizing, which is what keeps evaluations alive.

Across common evaluation sizes

Switch between a conservative and an aggressive sizing profile to see the speed-versus-risk trade-off. Larger positions reach the target sooner, but a real share of start windows then breach the drawdown limit first.

Sizing: 1 MNQ per $50K

Highest survival odds. In the backtest the trailing limit was never breached at this sizing — but reaching the target is a marathon, not a sprint.

Simulated prop firm evaluation outcomes by account size, conservative sizing.
EvaluationContractsProfit targetTrailing max lossPass rateBreach riskMedian time to targetMedian time to $2k payout
50K1 MNQ$3,000$2,000~96.1%None in backtest126 d (~7–8 months)86 d (~5–6 months)
100K2 MNQ$6,000$3,000~96.1%None in backtest126 d (~7–8 months)43 d (~2–3 months)
150K3 MNQ$9,000$4,500~96.1%None in backtest126 d (~7–8 months)29 d (~1–2 months)

“Breach risk” is the share of historical start windows that hit the trailing maximum-loss limit before reaching the target. Faster timelines come with higher breach risk — that is the trade-off.

Once funded

After an evaluation is passed, the same backtest gives a sense of the cadence per contract you trade. These are historical averages, per 1 MNQ, before any firm profit split.

Avg / day · 1 MNQ

+$23

Avg / month · 1 MNQ

+$378

Positive days

79.5%

Worst day · 1 MNQ

-$962

How this was modeled

  • Historical simulation over the real ORB Pro backtest (MNQ, Jan 2020 – Aug 2026, 1,315 trading days), with slippage and commissions modeled.
  • Every trading day in the backtest is treated as a possible evaluation start; results are aggregated across all of them.
  • Evaluation = reach the profit target before breaching a trailing maximum loss limit, checked against an intraday trough approximated from each trade's adverse excursion.
  • Two sizing profiles are shown: conservative (1 MNQ per $50K) and aggressive (2 MNQ per $50K). Larger sizing shortens the timeline but raises breach risk.
  • Targets and trailing limits mirror common futures-evaluation structures (such as Topstep). Exact rules — daily loss limits, consistency rules, scaling and payout terms — differ by firm and change over time.
This is a simulation of past backtest data under one set of assumptions — it is not a forecast, and it does not guarantee that any evaluation will be passed or any payout achieved. Real evaluations involve intraday swings, firm-specific rules, execution differences and market conditions that can change the outcome. Past performance, whether actual or simulated, is not indicative of future results.