What is Average True Range?
Average True Range, or ATR, is a technical indicator that measures market volatility by averaging true range over a selected number of periods. It does not indicate direction; it shows how much price is moving.
How Average True Range Works
True range is the greatest of three values: current high minus current low, absolute current high minus previous close, or absolute current low minus previous close. This method includes gaps that a simple candle range might miss.
ATR then averages true range, commonly over 14 periods. A rising ATR suggests expanding movement, while a falling ATR suggests contraction.
ATR values depend on the instrument and timeframe. An ATR of 20 points may be large for one asset and small for another. Traders often normalize ATR as a percentage of price when comparing markets.
Quick Reference
- Measures: Volatility, not direction.
- Common setting: 14 periods.
- Rising ATR: Larger price movement.
- Falling ATR: Smaller price movement.
- Uses: Stop placement, target planning, position sizing, volatility filters, and regime classification.
- Limitation: It is backward-looking and does not predict the next move.
Example Calculation
Suppose a stock has the following true ranges over five periods:
- 8
- 10
- 7
- 12
- 13
Simple five-period ATR:
(8 + 10 + 7 + 12 + 13) ÷ 5 = 10
The ATR is 10 points.
If a trader uses a 1.5 ATR stop, stop distance is:
10 × 1.5 = 15 points
If account risk is ₹3,000 and each share risks ₹15, position size is:
₹3,000 ÷ ₹15 = 200 shares
Average True Range vs Standard Deviation
ATR measures average price range, including gaps. Standard deviation measures how widely returns or prices vary around an average.
ATR is intuitive for stop distance and daily movement. Standard deviation is widely used in statistical analysis, Bollinger Bands, volatility models, and risk calculations.
Both measure volatility but in different ways. ATR focuses on trading range, while standard deviation focuses on dispersion. Traders should not treat them as interchangeable.
ATR Trading Strategies
ATR can be used for volatility-based stops, trailing exits, target filters, breakout confirmation, and position sizing.
A trend strategy may trail the stop by two ATR. A breakout system may require current ATR to exceed its recent average. A range trader may avoid entries when ATR expands sharply.
ATR-based position sizing keeps account risk more stable. When ATR rises, stop distance may widen and position size decreases. When ATR falls, position size may increase, subject to liquidity and gap risk.
Why Average True Range Matters
ATR matters because fixed stop distances behave differently as volatility changes. A 20-point stop may be too wide in quiet conditions and too tight during expansion.
It also helps traders compare current movement with normal movement. A target requiring three times the daily ATR may be unrealistic within a short holding period.
In a journal, recording ATR at entry can reveal whether losses cluster during high volatility, low volatility, or sudden regime changes.
ATR Benchmarks
Useful ATR benchmarks include:
- Current ATR versus 20- or 50-period average ATR.
- ATR as a percentage of price.
- Stop distance measured in ATR.
- Target distance measured in ATR.
- Daily range relative to ATR.
- Slippage relative to ATR.
- Strategy expectancy by ATR regime.
There is no universal ideal ATR. The useful question is whether current volatility matches the strategy and whether position size adjusts appropriately.
Common Mistakes With Average True Range
A common mistake is using the term without considering account size, market conditions, costs, or strategy rules. Traders should record the original decision, the actual result, and any changes made during the trade. This prevents hindsight from turning a vague idea into a rule.
Another mistake is drawing conclusions from one example. A useful review compares several similar trades and checks whether the result remains consistent after fees, slippage, and risk adjustments.
Apply Average True Range in your trading journal
Keep the original plan, relevant value or condition, execution details, screenshots, and final lesson connected to the same trade. Review the supplied benchmarks and mistakes across a meaningful sample rather than judging the concept from one outcome.
Average True Range review and journal checklist
Before applying this concept, confirm that the definition, calculation, market, instrument, timeframe, and data source match the decision being made. Record the value or condition that existed before entry rather than reconstructing it after seeing the result. If broker, exchange, margin, contract, or tax rules affect the concept, verify the current official terms instead of relying on a general example.
After the trade, preserve actual execution, costs, position changes, and the final outcome separately from the plan. Review whether average true range was interpreted consistently and whether the related rule was followed. A profitable outcome should not excuse an undefined process, and a losing outcome should not automatically invalidate correct application.
Use several comparable records before changing a strategy. Note the sample period, filters, exclusions, relevant market conditions, and unanswered questions. Convert the finding into one measurable next action, then test that action without changing several unrelated variables at the same time.
- The original value, condition, or definition is preserved.
- The source and timing of the information are recorded.
- Planned and actual decisions remain separate.
- Costs, risk, and limitations are included.
- The conclusion is supported by comparable examples.
Average True Range FAQ
Average True Range, or ATR, is a technical indicator that measures market volatility by averaging true range over a selected number of periods. It does not indicate direction; it shows how much price is moving.
Traders use this concept to describe, measure, plan, execute, or review a specific part of market activity. Its exact use depends on the instrument, strategy, timeframe, and broker or exchange rules.
Yes, provided the definition is connected to a practical example and its limitations are understood. Beginners should verify product-specific details before applying it.
No. A trading term or measurement does not guarantee an outcome. It should be considered with strategy rules, risk, costs, liquidity, and market context.
Use a consistent field, tag, screenshot, or note when the concept is relevant. Preserve the planned value and actual result separately so the decision can be reviewed later.