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Historical study · A finding within a defined sample

What targets, stops, and runners changed

An audited study of price touches, first-hit trade outcomes, and runner exits across 35 instruments.

Period or model horizon
July 2024–2 October 2026; shorter coverage on some instruments
Scope
35 broker instruments across FX, metals, energy, indices, and bitcoin

Changing the shape of a trade changed its outcomes and variability, but did not establish an advantage in these tests.

The question

How often does price travel a familiar fraction of its daily range? How long does that take? Could a stop avoid the movement along the way, and could a runner collect more of the eventual move?

The current answer comes from an audit of the original study. That audit withdrew earlier claims about a universal stop floor, an ideal runner target, and guaranteed daily opportunities. Those claims are not recommendations in this guide.

What we measured

We started hypothetical trades at hourly bar opens and measured both directions. The distance ruler was the broker's daily Average True Range, released only after the daily bar had closed. That prevented a morning entry from using the afternoon's eventual range.

The calculations separated touching a distance at any time from reaching a target before a stop. Spread was charged relative to the original stop distance. Hourly bars cannot establish which level came first when both are touched inside one bar, so the main bracket tests gave those cases to the stop. Runner sequencing was also checked on minute bars for six instruments.

What we found

A high chance of touching a nearby price did not imply a high chance of winning a stopped trade. Price could visit both sides of entry during the holding window.

Across the tested reward-to-risk shapes, the unconditioned entries remained close to their no-information benchmarks. Every instrument lost after the study's spread charge. The simple entry patterns tested did not establish positive after-spread expectancy either.

Tighter stops produced more early stop-outs and a larger spread cost relative to risk. The stop-out curve changed smoothly. It did not identify a universal boundary below which all trading becomes invalid.

Audited runner outcomes largely matched the corresponding driftless benchmark. Further targets paid more when reached and were reached less often. In this sample, that redistributed outcomes without improving the average of the tested runner policies.

What changed

The audit replaced typed tables with computed results and corrected a runner-counting error. The earlier calculation could scratch a runner using the same bar that first reached its initial target, without knowing the order of events. Correcting that changed the apparent attraction of different runner levels.

The distinction matters: an appealing exit chart can describe barrier geometry rather than trading skill.

How much this can carry

Most instruments had about two years of hourly history. Gold and NZDUSD had only months in the original hourly files. Some holding windows crossed weekends, so a bar count is trading time rather than elapsed clock time. The broker's short Sunday daily bar also affected its ATR scale.

These are tests of specified entries, exits, and a simplified cost convention. They do not establish that all path-dependent strategies lack an advantage. The later time-aware range study also revisits the daily ruler used here.

Open questions

Can timestamped market judgments improve outcomes above the relevant benchmark? Do different exit rules help those actual judgments after complete execution costs?

Research record: Daily ATR target 25pct, 3 October 2026, audited 4 October 2026. Source: studies/2026-10-03-daily-atr-target-25pct/README.md, study.py, and its audited report in the ContextChart research terminal.

Published research informs our development. A historical finding becomes trading evidence only after the relevant method, costs and conditions have been tested on the system using it.

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