Average True Range (ATR) Indicator Guide
ATR measures market volatility by calculating the average range between high and low prices, accounting for gaps between sessions.

Settings — ATR
| Category | volatility |
| Default Period | 14 |
| Best Timeframes | M15, H1, H4 |
The Average True Range indicator, developed by J. Welles Wilder in 1978, quantifies market volatility in price units rather than percentages — making it one of the few volatility tools that scales directly with the instrument being traded. A 14-period ATR reading of 15 pips on EUR/USD means something concrete: the average candle range over the last 14 bars is 15 pips. That single number drives stop placement, position sizing, and breakout validation across every major asset class.
Key Takeaways
- ATR starts with True Range (TR), which is the largest of three values: current high minus current low, the absolute diff...
- ATR does not generate directional buy or sell signals. This is a critical distinction from oscillators like RSI or MACD....
- Surprisingly, the default period of 14 performs differently across timeframes — not because the math changes, but becaus...
1How ATR Calculates True Range: The Math Simplified
ATR starts with True Range (TR), which is the largest of three values: current high minus current low, the absolute difference between the current high and the previous close, or the absolute difference between the current low and the previous close. The third and fourth calculations exist specifically to account for overnight gaps — a limitation that standard high-low range ignores entirely.
For a concrete example: if EUR/USD closes at 1.0850, then gaps open at 1.0900 the next session and trades between 1.0895 and 1.0920, the standard range is 25 pips. The true range, however, is 70 pips (1.0920 minus 1.0850), capturing the gap. This distinction matters most in forex sessions around major economic releases and in equity markets overnight.
With the default period of 14, ATR smooths these TR values using Wilder's moving average — essentially an exponential calculation with a smoothing factor of 1/14. The result is a single line plotted below the price chart, ranging from 0 to unbounded, with higher readings indicating higher volatility and lower readings indicating compression. Compared to Bollinger Band width, which expresses volatility as a percentage deviation, ATR outputs raw price units — directly usable in stop-loss calculations without conversion.
2How to Interpret ATR Signals: Volatility Expansion and Contraction
ATR does not generate directional buy or sell signals. This is a critical distinction from oscillators like RSI or MACD. ATR measures the intensity of price movement, not its direction.
The primary signal framework uses two states. Rising ATR indicates expanding volatility — breakouts, trend acceleration, or panic selling. Falling ATR indicates contraction — consolidation, ranging markets, or diminishing momentum. Data from backtests across major forex pairs suggests that ATR readings in the bottom 20th percentile of their 50-period historical range precede significant breakouts roughly 60–65% of the time within the following 10 bars.
For divergence analysis: when price makes a new high but ATR is declining, the move is losing volatility support. Historically, this pattern on H4 charts has preceded reversals or pullbacks more frequently than continuation — though the signal requires confirmation from price action or a momentum indicator. Unlike RSI divergence, which compares price to momentum, ATR divergence compares price to the energy behind the move.
A practical threshold approach: on EUR/USD H1, an ATR reading above 20 pips typically signals active trending conditions suitable for trend-following strategies, whereas readings below 8 pips suggest range-bound conditions where mean-reversion setups have historically performed better.
“Surprisingly, the default period of 14 performs differently across timeframes — not because the math changes, but because each bar represents a different slice of market activity.”
3Optimal ATR Settings by Timeframe: M15, H1, and H4
Surprisingly, the default period of 14 performs differently across timeframes — not because the math changes, but because each bar represents a different slice of market activity.
On M15 charts, a 14-period ATR captures approximately 3.5 hours of volatility data. This granularity suits scalping and intraday breakout strategies. Average ATR values on EUR/USD M15 during the London session typically range from 4 to 9 pips. A period of 20–21 on M15 effectively mirrors one full trading session, which some intraday traders prefer for smoother readings.
On H1, the default 14-period covers roughly two trading days. ATR readings here average 12–18 pips on EUR/USD during normal market conditions, compared to 25–40 pips during high-impact news events. This timeframe offers the best balance between responsiveness and noise reduction for swing entries.
On H4, 14 periods spans approximately 56 hours — just over two trading weeks. ATR values in this range (typically 35–60 pips on EUR/USD) are most useful for setting wider stop-losses on multi-day position trades and for filtering out low-volatility setups that lack sufficient range to reach profit targets. A period of 10 on H4 increases sensitivity; a period of 20 smooths further for longer-term position traders.
Pulsar Terminal's built-in SL/TP tools allow you to set stop-loss distances as a direct multiple of the current ATR value on the chart, automating volatility-adjusted risk management without manual calculation.
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About the Author
Daniel Harrington
Senior Trading Analyst
Daniel Harrington is part of the Pulsar Terminal team, where he leads the blog and editorial content. With over 12 years of experience in forex and derivatives markets, he covers MT5 platform optimization, algorithmic trading strategies, and practical insights for retail traders.

Risk Disclaimer
Trading financial instruments carries significant risk and may not be suitable for all investors. Past performance does not guarantee future results. This content is for educational purposes only and should not be considered investment advice. Always conduct your own research before trading.
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