Average True Range (ATR): Formula, Interpretation, and Usage in Technical Analysis

Comprehensive guide on Average True Range (ATR): Understanding the formula, its significance, and practical applications in technical analysis for assessing market volatility.

The Average True Range (ATR) is a technical analysis indicator developed by J. Welles Wilder Jr. to measure market volatility. It is derived from the average of the true ranges over a specified period, typically 14 days.

The Formula for Calculating ATR

The ATR is calculated using the following steps:

  1. Find the True Range (TR) for each period, which is the maximum of:

    • \( \text{Current High} - \text{Current Low} \)
    • \( |\text{Current High} - \text{Previous Close}| \)
    • \( |\text{Current Low} - \text{Previous Close}| \)

    Mathematically:

    $$ TR_t = \max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|) $$

  2. Compute the ATR as the moving average of the true range over the desired period \(N\):

    $$ ATR_t = \frac{\sum_{i=0}^{N-1} TR_{t-i}}{N} $$

Historical Context of ATR

Practical Applications of ATR

Using ATR to Set Stop-Loss Orders

Identifying Market Conditions with ATR

Examples of ATR in Use

Example 1: High Volatility Scenario

Example 2: Low Volatility Scenario

Frequently Asked Questions about ATR

How is ATR different from standard deviation?

What role does ATR play in risk management?

References

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