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Claim check · NQ futures

ORB Scalper 1.1 opening range strategy backtest on NQ futures: 3,601 trades, 2016–2025

Date tested: 2026-10-08

Summary

An opening range scalper that risks about five times what it targets, run on NQ futures from 2016-06-01 to 2025-11-02, took 3,601 trades with an 84.6% win rate and +$58,294 gross, then −$168,749.84 after $2.22 per contract in costs. Net of those costs, nine of ten calendar years were below zero, and geometry alone gives 83.3%: a target one fifth of the stop is reached first 5 times in 6 by a random walk. Tested by CE Market Solutions (cemarketsolutions.com), a backtesting service for CME futures strategies.

The claim tested

The seller of ORB Scalper 1.1, an invite-only TradingView script.

The script wins 85% of the time. Its rules are not shown to buyers.

Rules exactly as tested

  1. Range: the high and low (wicks included) of the 15-minute candle from 09:15 to 09:30 ET.
  2. Signal: a 15-minute candle from 09:30 onward closes above the range high (long) or below the range low (short).
  3. Entry: the next bar’s open.
  4. Stop: 80% of the way back from the signal close to the far side of the range. With D the distance from the signal close to the stop, D = 0.8 × (signal close − far side of the range).
  5. Target: one fifth of the stop distance from the signal close, 0.2 × D, so the target is 0.2R. Prices are rounded to the tick.
  6. Size: floor($1,000 ÷ (D × $2)) MNQ contracts, with D taken from the signal close.
  7. At most 2 trades a day. The second trade is in the opposite direction only, and a reversal is allowed while a position is open.
  8. The last entry fill is at 14:30 ET. Exchange holidays are skipped. Anything still open at the end of the day is closed at the last bar’s close.

Assumptions where the rules were ambiguous:

Data

Instrument
NQ (E-mini Nasdaq-100) futures prices, 1-minute data; sizing in MNQ contracts at $2 per point
Date range
2016-06-01 to 2025-11-02 (the test sample), then 2025-11-03 to 2026-09-11 (in-sample)
Sample size
3,601 trades in the test sample, 313 in the in-sample period
Costs
Gross is the trades before any cost. Net subtracts $2.22 per MNQ contract round turn times the contracts in each trade: a $1.22 round-turn commission plus 1 tick (0.25 point, $0.50) of slippage on each side. The mean position was 28.4 contracts, so the cost averaged about $63 a trade.
In-sample or out-of-sample
2016-06-01 to 2025-11-02 is out-of-sample for the rules. 2025-11-03 to 2026-09-11 is in-sample.

Results

By calendar year, 2016-06-01 to 2025-11-02, $1,000 risk per trade
YearTradesWin rateGross profit or lossNet of $2.22 per contractMax drawdown, gross
2016 (June on)22786.3%+$8,049−$26,099−$4,735
201738182.7%−$1,378−$57,482−$8,342
201837882.8%−$2,404−$32,072−$10,564
201937186.5%+$14,552−$16,453−$4,096
202038483.9%+$3,676−$12,952−$11,288
202138486.2%+$11,962−$3,448−$5,525
202238885.6%+$9,348−$211−$5,824
202338480.7%−$11,102−$25,717−$18,230
202439087.9%+$21,126+$8,654−$3,692
2025 (to 11-02)31484.1%+$4,466−$2,971−$13,450
All3,60184.6%+$58,294−$168,749.84−$18,230
In-sample period
PeriodTradesWin rateGross profitMax drawdown, gross
2025-11-03 to 2026-09-1131385.6%+$8,558−$5,301

Questions and answers

How was ORB Scalper 1.1 backtested?

The rules were run on NQ futures 1-minute data from 2016-06-01 to 2025-11-02: a 15-minute 09:15–09:30 ET range, a 15-minute close outside it as the signal, a stop 80% of the way back to the far side and a target one fifth of the stop distance, sized to risk $1,000 in MNQ contracts.

What win rate did ORB Scalper 1.1 have over ten years?

84.6% of 3,601 trades from 2016-06-01 to 2025-11-02, close to the 83.3% that the 5-to-1 stop and target geometry gives a random walk.

What happens to ORB Scalper 1.1 after costs?

With $2.22 per contract round turn the 3,601 trades lost $168,749.84, and nine of the ten calendar years were below zero. Gross they made $58,294.

What sample size was used?

3,601 trades from 2016-06-01 to 2025-11-02, plus 313 trades in the in-sample period from 2025-11-03 to 2026-09-11.

Related reports

Read more: R multiples and expectancy, explained · How many trades does a backtest need?

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