(adsbygoogle = window.adsbygoogle || []).push({ google_ad_client: "ca-pub-4811569576492328", enable_page_level_ads: true }); Average True Range (ATR) Average True Range (ATR) Beyond The Technical Analysis Expended -An Exclusive Indian Stock, Commodity Market Technical Analysis Tutorial Blog. Getting started in Our Technical Analysis Course.
  • Beyond The Technical Analysis Expended
    Technical Analysis is a vital tool to assist in proper trade entry. A great entry increases your chances of success. Welcome to my Technical Analysis Tutorial Blogs.

Average True Range (ATR)

Average True Range (ATR)

 Introduction

Developed by J. Welles Wilder and introduced in his book, New Concepts in Technical Trading Systems (1978), the Average True Range (ATR) indicator measures a security's volatility. As such, the indicator does not provide an indication of price direction or duration, simply the degree of price movement or volatility.

As with most of his indicators, Wilder designed ATR with commodities and daily prices in mind. In 1978, commodities were frequently more volatile than stocks. They were (and still are) often subject to gaps and limit moves. (A limit move occurs when a commodity opens up or down its maximum allowed move and does not trade again until the next session. The resulting bar or candlestick would simply be a small dash.) In order to accurately reflect the volatility associated with commodities, Wilder sought to account for gaps, limit moves, and small high-low ranges in his calculations. A volatility formula based on only the high-low range would fail to capture the actual volatility created by the gap or limit move.

Wilder started with a concept called True Range (TR) which is defined as the greatest of the following:

•The current High less the current Low.
•The absolute value of the current High less the previous Close.
•The absolute value of the current Low less the previous Close.

If the current high-low range is large, chances are it will be used as the True Range. If the current high-low range is small, it is likely that one of the other two methods would be used to calculate the True Range. The last two possibilities usually arise when the previous close is greater than the current high (signaling a potential gap down or limit move) or the previous close is lower than the current low (signaling a potential gap up or limit move). To ensure positive numbers, absolute values were applied to differences.

The example above shows three potential situations when the TR would not be based on the current high/low range. Notice that all three examples have small high/low ranges and two examples show a significant gap.

1.A small high/low range formed after a gap up. The TR was found by calculating the absolute value of the difference between the current high and the previous close.
2.A small high/low range formed after a gap down. The TR was found by calculating the absolute value of the difference between the current low and the previous close.
3.Even though the current close is within the previous high/low range, the current high/low range is quite small. In fact, it is smaller than the absolute value of the difference between the current high and the previous close, which is used to value the TR.
Note: Because the ATR shows volatility as an absolute level, low price stocks will have lower ATR levels than high price stocks. For example, a $10 security would have a much lower ATR reading than a $200 stock. Because of this, ATR readings can be difficult to compare across a range of securities. Even for a single security, large price movements, such as a decline from 70 to 20, can make long-term ATR comparisons difficult.

Calculation
Typically, the Average True Range (ATR) is based on 14 periods and can be calculated on an intraday, daily, weekly or monthly basis. For this example, the ATR will be based on daily data. Because there must be a beginning, the first TR value in a series is simply the High minus the Low, and the first 14-day ATR is the average of the daily ATR values for the last 14 days. After that, Wilder sought to smooth the data set, by incorporating the previous period's ATR value. The second and subsequent 14-day ATR value would be calculated with the following steps:

1.Multiply the previous 14-day ATR by 13.
2.Add the most recent day's TR value.
3.Divide by 14.

Basic signals: 

 If today's high is above yesterday's high and today's low is below yesterday's low, then today's high-low price range is used as the true range (the first alternative above).

If yesterday's close is greater than today's high or is less than today's low, then it signals a gap or limit move, and one of the other alternatives apply to determine the true range to use in calculating the ATR. At the beginning, the first TR value is simply the high minus the low, and the first 14-day ATR is the average of the daily TR values for the last 14 days. After that, the data is smoothed by incorporating the previous period's ATR value.

Strong trending moves, whether up or down, often include large price ranges or large true ranges, especially at the beginning of a move. Consequently, ATR can be used to help determine the enthusiasm behind a move or provide reinforcement for acting on a breakout.

Pro/con: ATR provides a better gauge of a market's recent price range and volatility over a given period. However, for markets that trade continuously around the clock, a steady stream of prices may reduce the need for the ATR indicator. ATR also does not provide any guidance on price direction.
 
SORRY ADBLOCKER DETECTED
It looks like you're using an ad blocker. That's okay. Who doesn't?
But without advertising-income, we can't keep making this site awesome.
Please disable your ad blocker and then reload the page to continue enjoying our site.
Reload Page
Beyond The Technical Analysis - Contact