Technical Indicators and Chart Patterns

Average True Range (ATR)

In this lesson, you’ll learn how to use the Average True Range (ATR), a powerful volatility indicator that measures how much an asset moves during a given time frame. Created by J. Wells Wilder Jr., ATR helps traders confirm when to initiate trades and where to place stop losses by analyzing price movement rather than predicting trend direction.

The ATR is calculated by finding the average of the true ranges over a set number of periods, typically 14 days. The true range for each period is determined by taking the greatest of three values: the difference between the current high and low, the absolute value between the current high and previous close, or the absolute value between the current low and previous close. Higher ATR values indicate greater volatility, often seen during market tops and downtrends, while lower ATR values suggest decreased volatility during market bottoms or consolidating phases.

You can leverage ATR to identify periods of low volatility before explosive movements, as volatility tends to be mean reverting. During consolidation phases, ATR decreases, signaling potential breakout opportunities when combined with support and resistance levels. Another application involves predicting market reversals by monitoring when price moves more than the daily true range—for example, using a 1.5 ATR level to identify potential overextension and exhaustion points.

One of the most practical uses of ATR is setting dynamic stop losses that account for each security’s unique volatility. Instead of using fixed stop losses at obvious support or resistance levels, you can create a buffer based on ATR. For instance, if you enter a trade at $100 with an ATR of $3, you might set your stop loss at $94 rather than $97, giving the trade room to breathe. You can also use a multiple of ATR, such as 5x ATR, as a trailing stop to ride big trends while allowing for normal pullbacks.

On TradingView, you can display ATR at the bottom of your chart and even use indicators that overlay ATR on the price chart. Keep in mind that ATR is a lagging indicator that measures volatility in absolute price units, making cross-asset comparisons difficult, and it doesn’t indicate price direction.

Video Chapters

  1. 00:00 – Introduction to ATR and its purpose
  2. 01:40 – How to display ATR on the chart
  3. 02:08 – Reading ATR: high vs low volatility
  4. 03:12 – Using ATR to identify low volatility periods
  5. 04:47 – Predicting market reversals with ATR
  6. 05:17 – Placing stop losses using ATR
  7. 06:54 – Trailing stops with ATR multiples
  8. 07:26 – Limitations of the ATR indicator

Key Takeaways

  1. ATR measures volatility, not price direction, with higher values indicating greater market volatility
  2. The indicator is calculated using true ranges averaged over a period, typically 14 days
  3. Use ATR to set dynamic stop losses that account for each security’s unique volatility, avoiding premature exits
  4. Combine ATR with support and resistance levels to identify breakout opportunities during low volatility periods
Video Transcription

[00:00:00.05] - Speaker 1
In this lesson we talk about ATR or Average True range. ATR is a volatility indicator that measures how much an asset moves during a given time frame. It is used to help traders confirm when to initiate a trade or place a stop loss. The Average True Range, or atr, is a technical analysis indicator used to measure market volatility. It was created by J.

[00:00:25.14] - Speaker 1
Wells Wilder Jr. And it provides an understanding of the degree of price volatility or the extent of price movement in a financial asset. It doesn't predict the trend direction, but shows how much an asset typically moves. As volatility increases, the ATR value goes up and as it decreases, the ATR value falls. This indicator is especially useful in identifying changes in market behavior. ATR measures market volatility by decomposing the entire range of an asset for a specific period.

[00:00:59.22] - Speaker 1
The ATR is calculated by finding the average of the true ranges over a set number of periods. The true range for a specific period is determined by taking the greatest of the following three the difference between the current high and the current low, the absolute value of the difference between the current high and the previous close, and the absolute value of the difference between the current low and the previous close. This calculation provides a moving average of these true ranges, typically over a 14 day period. Though the period can be adjusted based on the trader's preference. The ATR does not indicate the price direction.

[00:01:40.20] - Speaker 1
Rather, it solely measures volatility with higher ATR values indicating greater volatility. Now let's look at how to display it on the graph. Once selected, the indicator will be placed at the bottom of the chart. When we see strong moves, our ATR increases while it decreases in periods of low volatility. Let's look at how to read ATR when we observe a higher atr, it indicates increased volatility.

[00:02:08.08] - Speaker 1
This is often seen during market tops and downtrends. Market tops are typically characterized by both enthusiastic buying and rapid selling, leading to wider price ranges in downtrends. Fear and uncertainty can drive substantial price movements. In trend analysis, a rising ATR in an uptrend could signify strengthening momentum. On the other hand, in a downtrend it might suggest an increase in selling pressure.

[00:02:37.15] - Speaker 1
A lower atr, on the other hand, indicates decreased volatility often seen during market bottoms or or consolidating phases. In these scenarios, the trading range narrows and price movements become less pronounced. For trend analysis, a declining ATR in a downtrend could signal decreasing selling pressure or consolidation. Likewise, in an uptrend, a falling ATR might suggest the trend Is losing momentum. Now let's look at some examples of how we leverage atr.

[00:03:12.08] - Speaker 1
ATR is an indicator of volatility and as we know, volatility typically tends to be mean reverting. We can use ATR to predict explosive trends and movements. One way to use ATR is to identify periods of low volatility. As mentioned before, the market moves in cycles and we have trend phases with high volatility followed by consolidation phases. In periods of consolidation, the volatility of the price tends to decrease.

[00:03:42.25] - Speaker 1
In this example, on the oil price, we can highlight these periods by looking at the atr. These are the moments in which we can evaluate possible income, trying to predict possible future movements. In this case, ATR should be used in conjunction with other indicators such as supports and resistances. The idea is that the market moves in cycles of low volatility and cycles of high volatility. Identifying these moments and looking for breakout points in the market structure helps us capture explosive price movements.

[00:04:17.05] - Speaker 1
In this example, we can see how the price breaks important levels of support and resistance that coincide with an increase in volatility and the formation of a new trend. We can use the ATR to predict market reversals. First we need to understand how to read the atr. Here we see a chart of the SPX and on the right we can see an ATR of 42.68. That means that on average the index has moved around 42.68 points.

[00:04:47.17] - Speaker 1
To look for a potential reversal, we need to monitor the price action. If the price moves more than the daily true range. And in this case we can use a 1.5 ATR level combined with other analysis and it could lead to a reversal. This is because the market has had a sudden movement and there could be a non confirmation or reversal. In our example we can multiply 42.68 times 1.5 and we get a value of 64.02.

[00:05:17.23] - Speaker 1
This is the level of move we need to monitor on the spx. In this case, if a market moves significantly more than its average ATR value, it might indicate overextension. For example, if the market moves more than 64 points, this could signal exhaustion and a possible reversal, especially near key support or resistance levels. The last example will show you how to use ATR to place your stop losses, one of the main mistakes of traders and the placement of stop losses too tight, perhaps just above a point of support and resistance. In many of these cases, even if you have identified the right direction, the trade is closed due to a short term reversal.

[00:06:01.20] - Speaker 1
Each stock has a different volatility. So when we make a trade, we have to evaluate how much we can move. We can use ATR to find the range. Many traders use fixed stop losses. In many cases, these stop losses can lead to losses even if you have identified the direction of the trade, as they do not take into account the volatility of the security.

[00:06:24.15] - Speaker 1
Let's look at this example. We can adjust our stop loss in moments of high and low volatility based on the ATR. Let's say you enter a trade at $100 and the ATR is $3. Instead of placing your stop loss directly at $97, which is an obvious level, you could set it at $94. Factoring in the ATR this buffer can help you stay in the trade longer and avoid market noise on TradingView.

[00:06:54.11] - Speaker 1
We can also use indicators that can overlay ATR on the price chart like in this example. To ride big trends, you can use a multiple of the ATR to trail your stop loss. For example, a 5x ATR trailing stop allows you to stay in the trend while giving the trade enough room to breathe during pullbacks. Adjusting the multiplier can help you capture medium or long term trends, depending on your trading style. The ATR is a great indicator but also has some limitations.

[00:07:26.21] - Speaker 1
ATR measures volatility, not the direction of price movements. It is a lagging indicator as it relies on historical data, thus reflecting past market conditions. ATR gives volatility in absolute price units, making cross asset comparisons difficult. In highly volatile periods, ATR might reflect market noise rather than sustainable volatility. This concludes the lesson on the average true range.