Key takeaways
- The volatility breakout is significantly negative. -1.5 points on daily charts. Buying strength after a 2-ATR extension loses to a coin flip.
- Both directions fail. The downside break is negative too, so this is not market drift.
- ATR itself is not the problem. Every stop in this entire study is set at 1.5 x ATR(14). It is the right tool used the wrong way.
- Extension is not confirmation. A move already two ATRs from its mean has spent much of its range.
What it does
Average true range measures how much an instrument typically moves in a bar, using the largest of three distances: the bar's own high-to-low, and the gaps from the previous close to this bar's high and low. Including the previous close is what makes it a true range — it captures overnight gaps that a simple high-minus-low would miss.
ATR has no direction. It answers "how far does this thing move" and nothing else, which is why it is a natural unit for stops and position sizes. To test it as a signal at all we had to build a directional rule around it: a close breaking two ATRs beyond its 20-period EMA, the standard volatility-breakout construction.
How this was measured
Every figure below comes from our own tick-derived archive, not from a vendor summary. The method is identical to the one behind our indicator signal study, so the numbers here are directly comparable to every other signal we publish.
- Data. Dukascopy bid-side OHLC for 93 instruments — major and cross FX pairs, gold, silver, stock indices and crypto — from 2010 to August 2026.
- The trade. Enter at the open of the next bar. Stop at 1.5 × ATR(14), targets at 1:1 and 1:2, walking forward up to 40 bars.
- Ties go against you. A bar holding both stop and target is scored a loss every time.
- Real costs. Per-instrument median spreads from our own bid/ask measurement.
- The control. For every signal, a trade with the same direction and the same stop distance at a random bar — five draws each. The gap between the two columns is all the signal is worth.
The result
Signals are closes breaking two ATR(14) beyond the 20-period EMA - the standard volatility-breakout rule. Breakeven is a 50% win rate at a 1:1 target and 33.3% at 1:2. "Matched random" is a trade in the same direction with the same stop distance, opened at a random bar.
| Signal | Target | Trades | Win rate | Matched random | Edge | Significance | Beats breakeven? |
|---|---|---|---|---|---|---|---|
| Close breaks EMA20 +2ATR | 1:1 | 29,795 | 49.9% | 49.4% | +0.5 pts | not significant | No |
| Close breaks EMA20 -2ATR | 1:1 | 26,400 | 48.5% | 48.1% | +0.3 pts | not significant | No |
| Close breaks EMA20 -2ATR | 1:1 | 4,753 | 45.7% | 47.0% | -1.3 pts | not significant | No |
| Close breaks EMA20 +2ATR | 1:1 | 6,256 | 51.1% | 52.6% | -1.5 pts | * | Yes |
| Close breaks EMA20 +2ATR | 1:2 | 28,828 | 33.7% | 32.6% | +1.1 pts | *** | Yes |
| Close breaks EMA20 -2ATR | 1:2 | 25,567 | 31.0% | 30.3% | +0.7 pts | * | No |
| Close breaks EMA20 +2ATR | 1:2 | 6,084 | 35.4% | 36.0% | -0.6 pts | not significant | Yes |
| Close breaks EMA20 -2ATR | 1:2 | 4,584 | 27.9% | 29.2% | -1.2 pts | not significant | No |
A negative result this clean is more useful than another small positive one. Both directions lose to their controls on daily charts, and the upside break does so significantly. Because both sides fail, this cannot be explained by the market drift that flatters long signals elsewhere in the study — the effect is in the signal itself.
The interpretation that fits is the simplest one: by the time price has closed two ATRs beyond its mean, the move has already happened. Entering there buys the part of the distribution with the least room left, and a stop placed a further 1.5 ATR away sits deep in territory that normal retracement reaches.
How to use it
Use ATR everywhere except the trigger:
- Stop distance. Every trade in this study stops at 1.5 × ATR(14), which is what makes risk comparable across 93 instruments with wildly different volatility.
- Position sizing. Sizing on ATR rather than a fixed pip distance keeps risk per trade constant as conditions change.
- Comparing instruments. ATR as a percentage of price is how you tell whether gold is currently moving more than an index, in units that mean the same thing for both.
- Regime awareness. Rising ATR means wider ranges, which changes what a reasonable target looks like - before it changes what a reasonable entry looks like.
What does not work
- The 2-ATR volatility breakout, long. Significantly negative against a matched random long.
- The same rule short. Also negative, which rules out drift as the explanation.
- Treating an ATR expansion as confirmation. A large range tells you volatility rose, not which way it is going next.
Limitations
- Default parameters only. Tuning them on this same data would be curve-fitting.
- One stop rule (1.5 × ATR) and two fixed targets. Trailing stops, time exits and scaling are untested.
- Signals are taken in isolation, with no trend filter or confluence — which is how the isolated value of each is measured, but not how most people trade them.
- Bid data with modelled ask. Spread is a measured median, not a replayed tick-level ask feed.
- Spread only — no commission or swap. Both would push results further down.
- A statistically significant edge of one point is still only one point. Large samples make small effects certain; they do not make them large.
Cite or republish this data
Free to quote, screenshot, or republish — in an article, a video, a newsletter, or a course — as long as you credit FxBacktest with a link back to this page.
Frequently asked
Does ATR work as a trading signal?
No. Buying a close that breaks two ATRs above its 20-period EMA lost to a matched random long with the same stop distance by -1.5 points on daily charts across 93 instruments, a significantly negative result, and the short side was negative too. ATR is a measure of how far something moves, with no directional information, and forcing a directional rule onto it produced one of the worst results in this study.
What is ATR actually good for?
Stop placement and position sizing. Every trade in this entire study stops at 1.5 x ATR(14), which is what makes risk comparable across 93 instruments with completely different volatility profiles. Sizing positions on ATR rather than a fixed distance keeps risk per trade constant as conditions change. It is an excellent measurement tool and a poor trigger.
Why do volatility breakouts lose money?
The most likely explanation is that by the time price has closed two ATRs beyond its mean, most of the move is behind it. Entering there buys the part of the distribution with the least room left, and a stop a further 1.5 ATR away sits well inside the range that ordinary retracement covers. Because both the long and short versions lose, the effect is in the signal rather than in market direction.
What is the difference between ATR and standard deviation?
ATR uses the largest of the bar range and the two gaps from the previous close, so it captures overnight gaps that a close-to-close standard deviation misses. Bollinger Bands use standard deviation of closes; ATR-based tools like Supertrend use true range. On our data the ATR-scaled Supertrend flip substantially outperformed the standard-deviation-based Bollinger band signals.
How were these ATR numbers produced?
Enter at the open of the bar after the close breaks two ATR(14) beyond the 20-period EMA, stop 1.5 x ATR(14) away, targets at 1:1 and 1:2, walking forward up to 40 bars. Bars containing both stop and target are scored as losses. Real per-instrument median spreads are applied. Every signal is compared against five random-entry draws in the same direction with the same stop distance. Data is Dukascopy bid OHLC for 93 instruments, 2010 to August 2026.