Average True Range (ATR) Formula, What It Means, and How to Use It

Trading Range
	H-L	H-Cp	L-Cp
Day 1	$ 1.73	$ 0.44	$ (1.29)
Day 2	$ 1.15	$ 0.64	$ (0.51)
Day 3	$ 1.16	$ 0.67	$ (0.49)
Day 4	$ 1.12	$ 0.60	$ (0.52)
Day 5	$ 1.15	$ 0.61	$ (0.54)
Day 6	$ 1.16	$ 0.67	$ (0.49)
Day 7	$ 1.09	$ 0.61	$ (0.48)
Day 8	$ 1.17	$ 0.66	$ (0.51)
Day 9	$ 1.14	$ 0.61	$ (0.53)
Day 10	$ 1.15	$ 0.63	$ (0.52)
Day 11	$ 1.16	$ 0.61	$ (0.55)
Day 12	$ 1.14	$ 0.63	$ (0.51)
Day 13	$ 1.16	$ 0.66	$ (0.50)
Day 14	$ 1.17	$ 0.66	$ (0.51)

You find that the highest values for each day are from the (H – L) column, so you’d add up all of the results from the (H – L) column and multiply the result by 1/n, per the formula.

$\begin{aligned}\$1.73 &+ \$1.15 + \$1.16 + \$1.12 + \$1.15 + \$1.16 + \$1.09 \\&+ \$1.17 + \$1.14 + \$1.15 + \$1.16 + \$1.14 + \$1.16 \\&+ \$1.17 = \$16.65 \\\end{aligned}$$1.73​+$1.15+$1.16+$1.12+$1.15+$1.16+$1.09+$1.17+$1.14+$1.15+$1.16+$1.14+$1.16+$1.17=$16.65​

$\begin{aligned}\frac{ 1 }{ n } (\$16.65) = \frac{ 1 }{ 14 } (\$16.65)\end{aligned}$n1​($16.65)=141​($16.65)​

$\begin{aligned}0.714 \times \$16.65 = \$1.18\end{aligned}$0.714×$16.65=$1.18​

So, the average volatility for this asset is $1.18.

Now that you have the ATR for the previous period, you can use it to determine the ATR for the current period using the following:

$\begin{aligned}\frac{ \text{Previous ATR} ( n – 1 ) + \text{TR} }{ n }\end{aligned}$nPrevious ATR(n−1)+TR​​

This formula is much simpler because you only need to calculate the TR for one day. Assuming on Day 15, the asset has a high of $25.55, a low of $24.37, and closed the previous day at $24.87; its TR works out to $1.18:

$\begin{aligned}\frac{ \$1.18 ( 14 – 1 ) + \$1.18 }{ 14 }\end{aligned}$14$1.18(14−1)+$1.18​​

$\begin{aligned}\frac{ \$1.18 ( 13 ) + \$1.18 }{ 14 }\end{aligned}$14$1.18(13)+$1.18​​

$\begin{aligned}\frac{ \$15.34 + \$1.18 }{ 14 }\end{aligned}$14$15.34+$1.18​​

$\begin{aligned}\frac{ \$16.52 }{ 14 } = \$1.18\end{aligned}$14$16.52​=$1.18​

The stock closed the day again with an average volatility (ATR) of $1.18.

What Does the ATR Tell You?

Wilder originally developed the ATR for commodities, although the indicator can also be used for stocks and indices. Simply put, a stock experiencing a high level of volatility has a higher ATR, and a lower ATR indicates lower volatility for the period evaluated.

The ATR may be used by market technicians to enter and exit trades and is a useful tool to add to a trading system. It was created to allow traders to more accurately measure the daily volatility of an asset by using simple calculations. The indicator does not indicate the price direction; instead, it is used primarily to measure volatility caused by gaps and limit up or down moves. The ATR is relatively simple to calculate, and only needs historical price data.

The ATR is commonly used as an exit method that can be applied no matter how the entry decision is made. One popular technique is known as the “chandelier exit” and was developed by Chuck LeBeau. The chandelier exit places a trailing stop under the highest high the stock has reached since you entered the trade. The distance between the highest high and the stop level is defined as some multiple multiplied by the ATR.

The ATR can also give a trader an indication of what size trade to use in the derivatives markets. It is possible to use the ATR approach to position sizing that accounts for an individual trader’s willingness to accept risk and the volatility of the underlying market.

Example of How to Use the ATR

As a hypothetical example, assume the first value of a five-day ATR is calculated at 1.41, and the sixth day has a true range of 1.09. The sequential ATR value could be estimated by multiplying the previous value of the ATR by the number of days less one and then adding the true range for the current period to the product.

Next, divide the sum by the selected timeframe. For example, the second value of the ATR is estimated to be 1.35, or (1.41 * (5 – 1) + (1.09)) / 5. The formula could then be repeated over the entire period.

While the ATR doesn’t tell us in which direction the breakout will occur, it can be added to the closing price, and the trader can buy whenever the next day’s price trades above that value. This idea is shown below. Trading signals occur relatively infrequently but usually indicate significant breakout points. The logic behind these signals is that whenever a price closes more than an ATR above the most recent close, a change in volatility has occurred.

Limitations of the ATR

There are two main limitations to using the ATR indicator. The first is that ATR is a subjective measure, meaning that it is open to interpretation. No single ATR value will tell you with any certainty that a trend is about to reverse or not. Instead, ATR readings should always be compared against earlier readings to get a feel of a trend’s strength or weakness.

Second, ATR only measures volatility and not the direction of an asset’s price. This can sometimes result in mixed signals, particularly when markets are experiencing pivots or when trends are at turning points. For instance, a sudden increase in the ATR following a large move counter to the prevailing trend may lead some traders to think the ATR is confirming the old trend; however, this may not be the case.

The Bottom Line

The average true range is an indicator of the price volatility of an asset. It is best used to determine how much an investment’s price has been moving in the period being evaluated rather than an indication of a trend. Calculating an investment’s ATR is relatively straightforward, only requiring you to use price data for the period you’re investigating.