Average True Range (ATR): What It Measures and How to Use It

Last updated: July 2026

Quick Answer

Average True Range measures how far an instrument has been moving, averaged over a set number of periods — usually 14. It says nothing about direction. Its practical use is sizing: setting a stop that reflects current volatility instead of a fixed pip count, and adjusting position size when conditions change.

Trading involves significant risk of loss and is not suitable for everyone. This is not financial advice.

What the ATR Indicator Measures

The average true range answers one question: how much has this instrument been moving lately? It returns a number in the instrument’s own units — pips on a currency pair, dollars on gold — representing the average range of recent periods.

A rising ATR means periods are getting wider. A falling ATR means they are getting narrower. That is the whole signal. ATR will not tell you whether the next candle is up or down, and reading direction into it is the most common way traders misuse it.

The reason it matters is that a fixed stop distance is wrong most of the time. A 30-pip stop that gives a trade room to breathe in a quiet session gets hit by noise in a volatile one. ATR converts “give the trade room” into a number you can calculate.

How the Average True Range Formula Works

True range is the largest of three distances, measured for each period:

• Current high minus current low
• Current high minus the previous close, as an absolute value
• Current low minus the previous close, as an absolute value

The second and third measures exist to handle gaps. If price opens well below yesterday’s close, the high-minus-low of that period understates how far the market actually travelled — the gap is real movement, and measuring against the previous close captures it.

Worked example with a gap (illustrative figures). Suppose a EUR/USD daily candle has a high of 1.1180, a low of 1.1090, and the previous day closed at 1.1200.

True range for that period is 110 pips — the largest of the three. Using high-minus-low alone would have understated the day’s movement by 20 pips.

The same candle without a gap. Change one input — the previous close is 1.1150, inside the day’s range rather than above it — and the picture inverts:

Now true range is 90 pips, and the simple high-minus-low is the largest measure. This is the normal case. Whenever the previous close falls inside the current period’s range, high-minus-low wins automatically, and the other two calculations only matter on the days price gapped away from where it left off.

ATR is then the average of those true range values across the lookback period. The first value is a simple average of the first 14 true ranges; after that most platforms smooth it: current ATR = ((previous ATR × 13) + current true range) ÷ 14.

That smoothing is worth understanding, because it is where two confusing behaviours come from. Each new period carries a weight of only 1/14, so a single violent candle moves the line far less than intuition suggests — and by the same arithmetic, the effect of that candle decays gradually over the following periods rather than dropping out at once. ATR is deliberately slow in both directions.

You will not calculate this by hand — every mainstream platform plots it. Knowing what sits underneath matters because it explains those two behaviours, plus a third: the value changes when you change the timeframe.

Reading ATR Values in Practice

An average true range reading is only meaningful relative to that instrument’s own history. There is no universal “high ATR” threshold — 15 pips is a wide range on some pairs and a quiet hour on others.

Compare the current reading against the same instrument’s readings over the past few weeks. A reading at the top of that range means stops sized for the recent average will be too tight. A reading at the bottom means the market is compressing, which frequently precedes an expansion in either direction.

One way to make readings comparable across instruments is to express ATR as a percentage of price. An ATR of 85 pips on EUR/USD trading at 1.1140 is 0.0085 ÷ 1.1140, or roughly 0.76% of price. That percentage travels between instruments in a way a raw pip figure cannot, and it makes the size difference between a currency pair and gold visible in one number rather than requiring you to hold two unit systems in your head.

Gold (XAU/USD) is the clearest case of why the relative reading matters. Its daily range can be a multiple of a major currency pair’s, and it widens further around scheduled news. A stop distance carried over from EUR/USD to XAU/USD without recalculating is one of the more expensive habits in retail trading. Spreads on any instrument can also widen during volatile periods — check live conditions on the platform rather than assuming typical values hold.

Setting a Stop Loss With ATR

The standard approach is to place the stop a multiple of ATR away from entry. Common multiples run between 1.5 and 3, though the number is a choice you test, not a rule.

Running the numbers (illustrative figures). The average true range over 14 periods on EUR/USD reads 0.0085 — 85 pips.

A wider multiple survives more noise and is stopped out less often. It also loses more when it is hit, and it forces a smaller position for the same risk amount. That trade-off does not disappear; it only moves.

Two constraints apply regardless of multiple. A stop is an instruction, not a guarantee — in fast markets or over weekend gaps, execution can occur at a worse level than the stop price. And the ATR-derived distance should be sanity-checked against chart structure: a stop that sits just short of an obvious swing high is worse than one placed a few pips beyond it, whatever the multiple says.

ATR-Based Position Sizing

This is where ATR earns its place, because it lets you hold risk constant while volatility changes.

The sequence runs in one direction: decide the cash you are prepared to lose, derive the stop distance from ATR, then calculate position size from the two. Position size is the output, never the input.

Example in numbers (illustrative figures). A trader with a $2,000 account risking 1% per trade has $20 at risk. The average true range over 14 periods is 85 pips and they use a 1.5 × multiple, giving a 128-pip stop.

• Risk per pip = $20 ÷ 128 pips = $0.156 per pip
• On EUR/USD, one standard lot is approximately $10 per pip, one mini lot $1, one micro lot $0.10
• $0.156 per pip sits between one and two micro lots, so the position rounds down to 0.01 lots
• Actual risk at 0.01 lots = 128 × $0.10 = $12.80, or 0.64% of the account

Rounding down is the correct move. Rounding up to 0.02 lots would put $25.60 at risk — 1.28% — which breaks the rule the calculation existed to enforce.

When ATR rises, this arithmetic automatically produces a smaller position. When ATR falls, it produces a larger one. Risk per trade stays flat across both, which is the entire point.

When the minimum position size breaks the rule

There is a limit to that, and it is worth seeing before it happens to you rather than after. Take the same $2,000 account and the same $20 of risk, but a period of doubled volatility: ATR reads 170 pips, and the same 1.5 multiple now gives a 255-pip stop.

The arithmetic asks for a position smaller than the platform’s minimum increment. At 0.01 lots the trade now risks 1.275% of the account rather than the 1% intended — not because the method failed, but because the account is too small for that stop distance at that instrument.

There are four honest responses, and none of them is to pretend the number is 1%: fund the account differently, accept the higher percentage as a deliberate decision, use a smaller ATR multiple and accept more stop-outs, or skip that instrument while volatility is elevated. Traders with small accounts meet this constraint most often on gold and indices, which is where it does the most damage when it goes unnoticed.

Pip values, contract sizes and minimum position increments vary by instrument, account type and onboarding entity. The figures above are indicative for illustration; verify yours on the live platform before sizing a position. The fees and leverage page sets out how margin and leverage apply to each account type, and the Beginner’s Academy covers the risk-management groundwork this calculation assumes.

Three Ways Traders Apply ATR

Trailing stops. Rather than trailing by a fixed distance, trail by an ATR multiple recalculated as the trade progresses. The stop widens automatically when the market gets noisier and tightens when it settles. The practical decision is how often you recalculate — trailing on every tick produces a stop that jitters, while recalculating once per closed candle keeps the adjustment tied to completed information.

Volatility filters. Some approaches perform poorly when ranges compress — a breakout method has nothing to break out of in a flat market. Setting a minimum ATR threshold below which you do not trade removes a category of low-quality setups. The threshold has to be derived from that instrument’s own history, which in practice means looking at where ATR has spent most of its time over recent months rather than picking a round number.

Target scaling. Setting a first target at 1 × ATR and a second at 2 × ATR ties expectations to what the instrument has actually been doing, rather than to a round number. It does not make the target more likely to be reached. What it does prevent is the common error of setting a 100-pip target on an instrument whose average daily range is 60.

None of these applications makes a strategy profitable on its own. Each is a way of expressing a decision you have already made in units the market is currently trading in.

Limitations Worth Knowing

ATR is backward-looking. It averages what has already happened, so it lags sudden regime changes — the reading is still low during the first minutes of a volatility spike, exactly when a wider stop would have helped.

The lag runs both ways, and the second half is less discussed. After a spike passes, ATR stays elevated for several periods while the outsized value works its way out of the average. Stops sized during that window are wider than conditions warrant, and positions correspondingly smaller. Neither error is avoidable by tuning the setting; both are properties of averaging.

ATR is timeframe-dependent. A 14-period ATR on the 5-minute chart and on the daily chart are different measurements. Mixing them, or reading a value without checking which chart produced it, gives you a number that means nothing.

ATR gives no directional information whatsoever. A high reading tells you the market is moving, not which way. Any entry signal built on ATR alone is built on a measurement that was never designed to provide one.

Testing Your Multiple Before You Trade It

The choice between 1.5, 2 and 3 is not answerable from an article, because it depends on the instrument, the timeframe and how often you can tolerate being stopped out. It is answerable from a log.

Run one multiple on one instrument for a few weeks and record, for every trade, whether the stop was hit and whether price subsequently moved to where your target sat. A stop hit before a move that would have worked is evidence the multiple is too tight. A run of full-distance losses is evidence it is too wide.

A demo account lets you gather that evidence without capital at risk. Verified against the FXPrimus demo account page in July 2026: a PrimusDEMO account runs on real-time market data with virtual funds across MT4, MT5 and WebTrader, it expires after 90 days and cannot be restored once expired, and each user can open up to five demo accounts initially, with that limit raised on request. That window is long enough to test two multiples in sequence, which is more informative than testing one.

Frequently Asked Questions

Can ATR predict which way price will move?

No. ATR measures the size of recent movement, not its direction. A rising ATR during a downtrend and a rising ATR during an uptrend produce the same reading. Using it as a directional signal is a misreading of what the calculation does.

What ATR period should I use?

14 is the default on most platforms and the setting most reference material assumes. A shorter period reacts faster to changing conditions and produces a noisier line; a longer one is steadier but slower to reflect a shift. Change it only if you have tested the alternative on the instrument and timeframe you actually trade.

How is ATR different from Bollinger Bands or standard deviation?

They measure volatility in different ways and answer different questions. Standard deviation, which drives Bollinger Bands, measures dispersion of closing prices around an average and is plotted on the price chart as bands. ATR measures the average distance travelled per period, including gaps, and is plotted as a separate line in its own units. ATR is generally the more direct input for stop distance because it is already expressed in pips or points.

How do professional traders combine ATR with other tools without overcomplicating the chart?

By assigning each tool one job. ATR handles sizing — stop distance and position size. Structure or a trend tool handles direction. A third input, if used at all, handles timing. Problems arise when two tools are asked the same question and disagree, which is what happens when three momentum indicators are stacked on one chart.

How should ATR-based sizing change across different markets?

The method does not change; the inputs do. Run the same calculation with that instrument’s own ATR and its own pip or point value. Gold, indices and currency pairs produce very different stop distances from identical multiples, which is the mechanism working correctly rather than a problem to correct.

Does ATR work on gold and cryptocurrencies?

The calculation applies to any instrument with high, low and close data. What changes is scale and stability — instruments prone to sudden spikes will show ATR lagging those spikes more visibly than a major currency pair does. The lag is not a defect specific to those markets; it is inherent to any average.

Is a high ATR reading a reason to avoid trading?

Not by itself. A high reading means wider stops and, for constant risk, smaller positions. Whether that suits you depends on your approach and your tolerance for the wider outcomes involved. Some methods are built for volatile conditions and perform poorly without them.

Where do I find ATR on a trading platform?

ATR ships as a standard built-in indicator on the MetaTrader platforms, added from the chart’s indicator list with a period setting you can adjust; 14 is the conventional default. FXPrimus accounts run on MT4, MT5 and WebTrader, verified against the FXPrimus demo account page in July 2026. Menu placement and default settings can differ between platform builds, so confirm the period on your own chart before relying on the value.

Key Takeaways

• The average true range measures the average size of recent price movement; it carries no directional information
• True range takes the largest of three distances per period, which is how it accounts for gaps
• When the previous close sits inside the current range, high-minus-low is automatically the largest of the three
• The standard period is 14, and the value changes with the chart timeframe
• ATR-derived stops adapt to current conditions instead of using a fixed pip count
• Position size is calculated from the ATR stop distance and a fixed cash risk — never the reverse
• When ATR is high and the account is small, the minimum position size can force risk above the intended percentage
• ATR lags sudden volatility changes in both directions, because it is an average of what has already happened

Risk disclosure. Trading involves significant risk of loss and is not suitable for everyone. This is not financial advice. This article is published for educational and informational purposes only and does not take into account your objectives, financial situation or needs. Past performance does not guarantee future results. All ATR values, pip values, spreads and position sizes shown above are illustrative and indicative only — verify current conditions on the live platform. Availability and conditions vary by account type and by the entity you onboard with; review the full terms and conditions before trading.