Instruments · What it actually measures
Average True Range generates no signals and predicts nothing. It is a unit of measurement — the one that makes a point on one chart comparable to a point on another, and to a point on the same chart six months ago. Almost everything people get wrong about risk is a unit error.
Last in the instruments series, after volume, volume by price, anchored VWAP and open interest.
Charts lie about scale, and they lie in a way that is almost impossible to see, because every chart you look at has been auto-scaled to fill its own window.
Two instruments can produce pictures that are indistinguishable — same swings, same shapes, same apparent volatility — while one of them moves four times as far per day as the other. The chart cannot show you this, because the chart's vertical axis was rescaled to make the picture fit.
So a stop "two dollars below the low" is not a risk decision. It is a risk decision on one instrument and a rounding error on another, and you cannot tell which by looking.
ATR converts every instrument, and every regime, into the same currency: how far this thing normally moves.
True range is the largest of three numbers: today's high minus today's low, today's high minus yesterday's close, or yesterday's close minus today's low. Then average it — fourteen periods is conventional.
The reason for those second and third terms is the only interesting part: they capture gaps. A stock that closes at 50 and opens at 44 has moved six dollars, but its high-minus-low that day might be one. Plain range would call that a quiet session. True range knows better, and that is exactly the kind of day that hurts people who sized as though the instrument were quiet.
This is why "use a two-dollar stop" or "risk fifty points" are not rules. They are rules plus an unstated assumption about volatility that was true when the rule was written and stops being true the moment the regime changes — which it does, constantly, on the same instrument.
Express the stop in ATR rather than in currency, and the position size falls out of it. Three numbers, no judgement required once you have chosen the two inputs.
Note what this does to the question "how much should I buy." It stops being a question. Once the risk budget and the stop multiple are fixed, position size is an output, and the only decisions left are the ones worth spending attention on.
The claim in the introduction to this series was that a tool which fixes sizing beats a tool that picks entries. That is testable, and the mechanism is variance rather than expectancy.
Take one strategy with a genuine edge and trade it two ways. Both take exactly the same trades, with the same win rate and the same reward-to-risk. The only difference is that one sizes positions in fixed share counts and the other sizes them so that each trade risks the same amount of money.
Fixed share counts mean your dollar risk per trade moves with volatility — in a quiet regime each trade barely matters, in a wild one a single trade can cost several times what you intended. Same edge, same trades, radically different experience.
The point is not that volatility-scaled sizing earns more. On average it does not. The point is that it narrows the distribution of outcomes, and a narrower distribution is what lets a real edge survive long enough to be realised. Most strategies do not fail because they were wrong. They fail because a run of oversized losses ended them before the arithmetic arrived.
Entry quality changes your expectancy a little. Sizing changes whether you are still there to collect it.
Beyond sizing, ATR is a decent description of which volatility state a market is in — and volatility, unlike price, has properties you can rely on.
Two of them are about as close to established facts as market statistics get. Volatility clusters: quiet periods follow quiet periods and violent ones follow violent ones. And it mean-reverts: extremes in either direction tend to resolve back toward normal.
Put together, those say something useful. A market whose ATR has compressed to the bottom of its own range is not a market that will stay quiet — it is a market where a volatility expansion is overdue. That is the statistical version of what the triangle and wedge pages describe structurally as a coil, and the two readings usually agree.
What it does not say is direction. Compressed volatility tells you a large move is likely and nothing whatever about which way. Every use of ATR on this page is direction-blind, which is the reason it combines well with everything else rather than competing with it.
A description of market mechanics, not trading advice. The simulation in Exhibit 3 illustrates the variance argument; it is not a claim about any real strategy's returns.