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Normalized ATR

What is Normalized ATR?
Normalized ATR (Average True Range) is an indicator used to assess the volatility of a financial asset in a more understandable way. Normalized ATR normalizes the Average True Range (ATR) over a specific period relative to the current price level, providing a more comparable measure of volatility. It gives appropriate volatility across all timeframes.

What is ATR (Average True Range)?
ATR is a technical indicator used to measure the volatility of an asset's price. ATR is calculated by taking the highest value from the following three values:

Daily High - Daily Low: The difference between the highest and lowest prices within the day.
Daily High - Previous Day's Close: The difference between today's highest price and the previous day's closing price.
Daily Low - Previous Day's Close: The difference between today's lowest price and the previous day's closing price.
The largest value among these three is then averaged over a specified period (usually 14 days) to calculate the ATR.

Why Use Normalized ATR?
Normalized ATR provides a way to compare the ATR relative to the current price level. This is particularly useful when comparing assets with different price levels. For example, two assets may have the same ATR value, but due to differing price levels, the perception of volatility could vary. Normalization helps eliminate these discrepancies, enabling more consistent analysis. It gives appropriate volatility across all timeframes.

Normalized ATR Calculation
Normalized ATR is calculated by dividing the ATR value by the current price level:

Normalized ATR
=
(
ATR
Current Price
)
×
Normalization Factor
Normalized ATR=(
Current Price
ATR

)×Normalization Factor

Here, the "Normalization Factor" is typically a multiplier (e.g., 100) to convert the result into a more readable format.

Example Usage
Investors can use the Normalized ATR value to determine the volatility of an asset and formulate risk management strategies. A high Normalized ATR indicates that the asset has high volatility, while a low value suggests lower volatility.
This indicator helps investors better understand market conditions and make informed trading decisions.
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