ORB30 Strategy Backtest: 30-Minute Opening Range Breakout on NQ, 7 Years, Placebo-Controlled

Most strategy specs we get sent are vague. This one wasn’t: ORB30, long only — break of the 30-minute opening range high, stop at 2.25× the range, target at 0.75× the range, flat by 5:00pm, 2% risk, one trade per day. A precise, testable rule set with an unusual inverted risk:reward (risking 3 to make 1), which is exactly the kind of high-win-rate construction that fixed-target ORB variants have used to look great while earning nothing. So we ran it through the full machine.

Short version: it survives — and it’s not the parameters, it’s the breakout.

One stat does the judging below: t (the t-statistic) measures how far an average return sits above zero relative to its own noise — |t| above 2 is a real effect, between −2 and +2 is indistinguishable from luck.

The rules we tested

• Opening range: high/low of 09:30–10:00 ET.
• Entry: buy stop one tick above the OR high, first touch after 10:00, one trade per day, long only.
• Exit: stop at entry − 2.25×OR, target at entry + 0.75×OR, or the 17:00 ET close — whichever comes first.
• Fills, conservatively: stop-order entry at max(OR-high, bar open) + 1 tick; on the entry bar only the stop may trigger (the target counts only from the next bar — the classic same-bar artifact that fakes entire strategies is excluded); stop checked before target on every bar; all exits debited 2 ticks; $4.50 commission per side.
• Data: 7 years of NQ minute bars (2019–2026) built from real trade prints, 1,740 sessions.

The results

1,251 trades · +$234k net per contract · 67.1% win rate · profit factor 1.32 · Sharpe 1.60 · t = +3.6.

The splits that usually kill submissions, passed: the 2019–23 train years are positive on their own (+$92k, t = +1.8), the untouched 2024–26 holdout is positive on its own (+$142k, t = +3.5), and every calendar year is green — including 2022, when NQ fell 33% (+$7.8k that year). Exits: 52% at the target, 41% at the 17:00 cutoff, only 7% at the wide stop.

That last number explains the win-rate arithmetic. On paper, risking 2.25R for 0.75R needs a 75% hit rate; the measured 67% still profits because the cutoff exit harvests a lot of half-won days — average win $1,161 against average loss $1,802.

Is it just NQ going up? The controls say: mostly no

Long-only, on an index that tripled over the test window — the obvious objection. So we ran the same exits with the breakout condition removed:

Variant	Net	Sharpe	t
ORB30 breakout long (trades 72% of days)	+$234k	1.60	+3.6
Long at 10:00 every day, same OR-based exits	+$91k	0.39	+1.0
Buy 10:00 / sell 17:00 every day	+$150k	0.44	+1.2

Both controls capture the drift — neither is statistically distinguishable from zero. The breakout version makes 1.5–2.5× the money in fewer trades at a quarter of the noise. The condition “price took out the opening-range high” is doing real work, which matches what our 7-year ORB study found from the other direction: fading the range loses reliably; going with the break and letting it run is the one thin, real edge in the opening range.

Are the parameters overfit? The grid is a ridge, not a peak

We swept the stop from 1.5× to 3× the range (and “no stop at all”) against targets from 0.5× to 1.5×:

SL \ TP	0.5	0.75	1.0	1.5
1.5	t +3.2	t +3.1	t +3.4	t +3.1
2.25	t +3.7	t +3.6	t +3.9	t +3.8
3.0	t +3.3	t +3.2	t +3.5	t +3.5
no stop	t +2.8	t +2.7	t +2.9	t +2.9

Every single cell is positive and significant. The submitted (2.25, 0.75) isn’t even the best cell — slightly larger targets test a touch better. This is what a real effect looks like: the money comes from the long opening-range break with a daytime cutoff, and the exit tuning just shapes the distribution around it.

The 2% risk problem: the spec needs micros

Here the spec as written breaks. A 2.25×OR stop is typically $3,000–6,000 of risk per NQ contract — 2% of a $100k account is $2,000, which buys zero contracts on 83% of days. As written, the strategy barely ever trades.

On MNQ micros (1/10 the size) the sizing works exactly as intended: 2% risk per trade, whole contracts, compounding from $100k → $233k over 7 years, ~13% CAGR, 8.3% max drawdown (lower panel of the chart). Micro commissions are proportionally higher, which is included. If you want the 2%-risk version, it’s a micro strategy — or a mini strategy on a $500k+ account.

Follow-up: what if you drop the 5pm cutoff and just hold to the target?

The natural next question (we got it within a day): why cut off at 17:00 at all — let it run until the TP or the stop hits. We tested that too, same entry and stop, positions held overnight and across days, gap-conservative fills (a stop gapped through fills at the open, not at the stop price):

Variant	Net	Win	Sharpe	t	maxDD	median hold
With 17:00 cutoff (TP 0.75×OR)	+$276k	70%	1.84	+4.0	$35k	3.4h
No cutoff, TP 0.75×OR	+$218k	80%	1.20	+2.5	$58k	4.4h
No cutoff, TP 1.5×OR	+$306k	67%	1.46	+2.6	$52k	~23h
No cutoff, TP 3.0×OR	+$347k	49%	1.69	+2.4	$75k	~2.1 days

Holding to the target works — every variant stays significant — and the 80% win rate of the no-cutoff version is exactly the kind of number that sells courses. But look at what you pay for it: Sharpe drops by a third, the drawdown roughly doubles, losers stay open for days (the longest ran 44 days), and you now carry overnight margin plus weekend gap risk. Bigger targets recover the total P&L (+$347k at 3×OR) by quietly turning the day trade into a multi-day swing trade — still worse per unit of risk than the original.

The 17:00 cutoff is not a limitation, it’s the risk engine of this strategy. It’s the reason the wide 2.25×OR stop is almost never hit and the equity curve stays smooth. Our recommendation is the spec as submitted.

(This strategy is now running as a live paper algo — Daybreak on the live board — unchanged from the rules above, so you can watch the forward test instead of taking the backtest’s word for it.)

Honest caveats

1. Long-only on the strongest index of the decade. The controls show the breakout adds real signal on top of the drift, and 2022 was green — but a regime where NQ grinds down for years is underrepresented in any 2019–2026 test. The short mirror is not the same trade: our earlier work shows downside breaks behave differently.
2. The holdout is stronger than the train (t +3.5 vs +1.8). Statistically that’s the right way around to fail — nothing was fit to the recent years — but it also means the recent regime has been unusually kind to this trade. Expect the train-years version of it, not the 2024–25 version.
3. Execution reality: entries are stop orders into a breakout — the +1 tick slippage we charged is fair for one contract, optimistic for size.
4. This is a backtest, not a live record. We forward-test candidates as paper algos before believing them — that’s the whole point of the live board.

Methodology: NQ continuous front-month minute bars 2019–2026 built from real trade prints, 1,740 sessions. OR = 09:30–10:00 ET high/low; entry = buy stop 1 tick above OR-high after 10:00, ≤1 trade/day, long only. Stop before target on every bar; target valid from the bar after entry; exits −2 ticks; $4.50/side commission. Controls: identical exits without the breakout condition (long at 10:00 daily) and plain 10:00→17:00 long. Sizing: 2% of equity per trade on stop distance, whole contracts, MNQ point value $2, $1.50/side. Daily-aggregated t-stats; 2019–23 train / 2024–26 holdout touched once.