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This is the deep end. You’ll trade ES — but only when the relationship between ES and NQ is stretched, the big commercial players agree, and the two markets are still moving together. You fade a statistical stretch in that relationship, and take the trade in one liquid leg. It pulls together four advanced ideas at once. If z-scores or Commitment-of-Traders data are new to you, read signals & indicators and the trend-pullback tutorial first.
You’ll learn: using the ES-NQ spread as a signal, a 20-bar z-score reversion trigger, a weekly COT positioning bias, a 30-bar rolling correlation gate, trading ES outright, and exits at the mean or a dollar stop. Time: about fifteen minutes.

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The idea, in plain English

Four conditions working together to time an ES trade:
  • The instrument — you trade ES outright, one market.
  • The signal — the ES minus NQ spread, tracked as a single series so you can measure how stretched the relationship is.
  • The trigger — when the spread’s 20-bar z-score climbs above +2, ES is unusually rich versus NQ, so short ES, betting the stretch snaps back.
  • The bias — only when commercials are net short ES in the weekly Commitment-of-Traders report (the hedgers’ positioning agrees with the fade).
  • The gate — only when the two markets’ 30-bar rolling correlation is above 0.8 (they’re moving together tightly enough for the spread signal to mean something).
  • The exits — cover when the z-score returns to 0 or on a $1,000 stop.
Why trade ES alone, not the two-leg spread? A spread built from two different markets (ES and NQ) can’t be traded as a single instrument here — the engine trades same-root calendar spreads only (e.g. two CL contract months). So you use the ES-NQ spread purely as a signal and express the trade in one liquid leg, ES. You still fade the same stretch — you just place one order instead of two.

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Step 1 — Describe it

Type it as one connected idea. AskFutures handles the spread construction, the z-score window, the weekly COT lookup, and the correlation gate from this single description:
Trade ES. When the ES-NQ spread’s 20-bar z-score exceeds +2 and commercials are net short ES in the weekly COT, short ES; cover when the z-score returns to 0 or on a $1,000 stop. Only when the 30-bar rolling correlation between ES and NQ is above 0.8.
A spread-signal reversion behaves differently from a single-market breakout — there’s no opening-range or intraday-session breakout to lean on. State your exits explicitly (mean and dollar stop, as above) so AskFutures doesn’t fall back to a default it has to guess at.

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Step 2 — Read the strategy card

There’s a lot packed into this one. Walk the card top to bottom and confirm each piece.
1

Markets

One market is traded — ES. NQ is only read (never traded) to build the ES-NQ spread signal and the correlation gate, and ES COT is read for the positioning bias. See futures & symbols.
2

The spread signal

ES - NQ, built as a single series the z-score is measured on. This is the signal that times your ES trade — not an instrument you trade directly.
3

Entry trigger

Short ES when the spread’s 20-bar z-score is above +2 — two standard deviations rich versus its own recent average.
4

COT bias filter

Commercials net short ES in the weekly report. COT is a 1w source, so the weekly positioning is held constant across the bars inside that week. See where data comes from.
5

Correlation gate

30-bar rolling correlation between ES and NQ above 0.8. When the two decouple, the spread stops mean-reverting reliably — so the gate stands the strategy down.
6

Exits

Cover ES at the mean (z-score returns toward 0) or a $1,000 stop — whichever comes first. See risk & trade management.
The Strategy Flow chart makes the gating order clear:
COT data is weekly and reported with a lag — the published positioning reflects a snapshot from earlier in the week, not the live tape. Treat it as a slow-moving bias, not a precise timing tool. Check the Assumptions notes on the card for exactly how the weekly series is aligned to your bars.

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Step 3 — Backtest and read the results

Backtest it.
With four conditions stacked — and one of them a slow weekly COT bias — expect a small number of trades. That’s expected for a selective reversion strategy; the filters are doing exactly what you asked.
Backtest results are hypothetical and simulated. No real trades were placed, so live outcomes can differ. Reported P&L is net of modeled slippage (default 1 tick per round-turn trade) and commission (default $2.50/side for full-size contracts like ES). Past performance — actual or simulated — does not guarantee future results. Always test before you trade.
What to check, in order:
Four filters can leave you with very few — or zero — trades. If it’s too sparse to judge, relax one gate (correlation above 0.7, or z-score above 1.5) and re-run.
Mostly cover at mean exits is the shape you’re hoping for — stretches that snapped back. A run of stop exits suggests ES kept running rich versus NQ, often a sign the correlation gate let through a regime that was actually breaking down.
Compare against a version with the COT filter removed (next step) to see whether the positioning bias actually earned its place.

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Step 4 — Iterate

Change one condition at a time and compare versions to isolate what each filter contributes.
Remove the COT filter and backtest again.
Loosen the correlation gate to 0.7.
Use a z-score threshold of +1.5 instead of +2.
Also take the long side: buy ES when the z-score drops below -2.
Optimize the z-score threshold and the correlation gate.
Handing the z-score level and correlation threshold to the optimizer is the natural way to map out which combinations would have held up — without running each one by hand.
This example is illustrative, not a recommendation. It exists to exercise an ES-NQ spread signal, a z-score trigger, a weekly COT bias, a rolling-correlation gate, and dollar-stop exits all at once — not because this exact combination is profitable. Use it to learn the mechanics, then build and test your own ideas.

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Next steps

Where data comes from

How COT, correlation, and continuous-contract data are sourced and aligned.

Signals & indicators

Z-score, rolling correlation, and the spread builder explained.

Version & compare

Run the strategy with and without each filter, side by side.

Is the backtest real?

Why even a complex strategy produces the same numbers every time.