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SettledNG · CL · ES · NQ·Intraday

Averaging into a position on a price grid

A constant position at matched risk beat every scale-in scheme tested, and the shuffled-bar placebo shows why.

Verdict
Settled by the data
Decided by
Placebo / matched-risk comparison
The number
0 of 42 pyramiding cells beat constant size

The hypothesis, as pre-registered

Adding to a position as it moves against you lowers the average entry and raises the hit rate, so a grid should outperform a single fixed-size entry.

What the test found

Forty-two pyramiding and averaging configurations were tested against a constant-size baseline at matched risk. None beat it. The ones that appeared to were carrying more risk, and the comparison was not matched.

The deeper problem is what the null looks like. For any strategy that defers its losses — which is exactly what a grid does — a shuffled-bar placebo comes back strongly positive. Randomise the bar order, destroying every real relationship, and the grid still makes money on paper, because deferring a loss converts it into an open position that a finite sample often never resolves.

So the correct question is never 'is the grid profitable'. It is 'is the grid more profitable than the same grid run on shuffled data'. Tested that way, the answer has been no every time.

Continuation itself decays fast: measured on the same tape, the expected follow-through fell from roughly +0.22 ATR to +0.07 ATR by the time price had travelled one ATR. There is less to add to than the premise assumes.

What would make this work

The grid would have to beat a constant-size position at matched risk AND beat its own shuffled-bar placebo — the second of which no tested configuration has ever done.

Every insight ends with this line: the exact condition that would turn the finding into a tradeable edge. That is what makes each entry a next experiment rather than a full stop.

martingalescale-ingrid tradingplaceborisk

Screened July 9, 2026

Run the arithmetic on your own numbers with the futures position size calculator.