Volatility Ratio

Volatility Ratio

The volatility ratio is a technical measure used to identify price patterns and breakouts. Schwager calculates the volatility ratio from the following: VR \= TTR ATR where: VR \= Volatility Ratio TTR \= Today’s True Range Today’s True Range \= Max − Min Max \= Today’s High, Yesterday’s Close Min \= Today’s Low, Yesterday’s Close ATR \= Average True Range of the Past N-Day Period \\begin{aligned} &\\text{VR} = \\frac { \\text{TTR} }{ \\text{ATR} } \\\\ &\\textbf{where:} \\\\ &\\text{VR} = \\text{Volatility Ratio} \\\\ &\\text{TTR} = \\text{Today's True Range} \\\\ &\\text{Today's True Range} = \\text{Max} - \\text{Min} \\\\ &\\text{Max} = \\text{Today's High, Yesterday's Close} \\\\ &\\text{Min} = \\text{Today's Low, Yesterday's Close} \\\\ &\\text{ATR} = \\text{Average True Range of the Past N-Day Period} \\\\ \\end{aligned} VR\=ATRTTRwhere:VR\=Volatility RatioTTR\=Today’s True RangeToday’s True Range\=Max−MinMax\=Today’s High, Yesterday’s CloseMin\=Today’s Low, Yesterday’s CloseATR\=Average True Range of the Past N-Day Period Other iterations of the volatility ratio may include the following: VR \= ∣ TTR ∣ ATR where: | TTR | \= Absolute Value of Max Absolute Value of Max \= TH − TL , TH − YC , YC − TL TH \= Today’s High TL \= Today’s Low YC \= Yesterday’s Close \\begin{aligned} &\\text{VR} = \\frac { \\mid \\text{TTR} \\mid }{ \\text{ATR} } \\\\ &\\textbf{where:} \\\\ &\\text{| TTR |} = \\text{Absolute Value of Max} \\\\ &\\text{Absolute Value of Max} = \\text{TH} - \\text{TL}, \\text{TH} - \\text{YC}, \\text{YC} - \\text{TL} \\\\ &\\text{TH} = \\text{Today's High} \\\\ &\\text{TL} = \\text{Today's Low} \\\\ &\\text{YC} = \\text{Yesterday's Close} \\\\ \\end{aligned} VR\=ATR∣TTR∣where:| TTR |\=Absolute Value of MaxAbsolute Value of Max\=TH−TL,TH−YC,YC−TLTH\=Today’s HighTL\=Today’s LowYC\=Yesterday’s Close VR \= ∣ TTR ∣ EMA where: EMA \= Exponential Moving Average of the True Range of the Past N-Day Period \\begin{aligned} &\\text{VR} = \\frac { \\mid \\text{TTR} \\mid }{ \\text{EMA} } \\\\ &\\textbf{where:} \\\\ &\\text{EMA} = \\text{Exponential Moving Average of the True Range} \\\\ &\\text{of the Past N-Day Period} \\\\ \\end{aligned} VR\=EMA∣TTR∣where:EMA\=Exponential Moving Average of the True Rangeof the Past N-Day Period Investors and traders will have their own mechanisms for following and detecting patterns from the volatility ratio. Technical traders employ true range, or the difference between the high and low prices on any given day, to reveals how volatile a stock is. The most common version of a volatility ratio takes the proportion of an asset's day true range to its average true range. The volatility ratio is a measure that helps investors follow the volatility of a stock’s price. For technical analysis, Jack Schwager is known for introducing the concept of a volatility ratio in his book T_echnical Analysis_. Schwager’s methodology for calculating the volatility ratio builds on the concept of true range which was developed and introduced by Welles Wilder but has several iterations.

The volatility ratio measures relative changes in an asset's price movements in order to identify trading opportunities.

What Is the Volatility Ratio?

The volatility ratio is a technical measure used to identify price patterns and breakouts. In technical analysis, it uses true range to gain an understanding of how a security’s price is moving on the current day in comparison to its past volatility.

There are several different versions of volatility ratios, the most common being adaptations of average true range (ATR).

The volatility ratio measures relative changes in an asset's price movements in order to identify trading opportunities.
Technical traders employ true range, or the difference between the high and low prices on any given day, to reveals how volatile a stock is.
The most common version of a volatility ratio takes the proportion of an asset's day true range to its average true range.

Understanding Volatility Ratios

The volatility ratio is a measure that helps investors follow the volatility of a stock’s price. It is one of a few technical indicators focused on volatility. In general, the standard deviation is typically one of the most common measures used for following volatility. Standard deviation forms the basis for several technical channels including Bollinger Bands.

Comprehensively envelope channels of many different varieties are used by technical analysts to identify price ranges and volatility patterns that help lead to trading signals. Historical volatility is also another common trendline that can be used to follow volatility.

The volatility ratio was developed to contribute to the analysis of price volatility. Across the industry, volatility and volatility ratio calculations may vary. For technical analysis, Jack Schwager is known for introducing the concept of a volatility ratio in his book T_echnical Analysis_.

Calculating the Volatility Ratio

Schwager’s methodology for calculating the volatility ratio builds on the concept of true range which was developed and introduced by Welles Wilder but has several iterations. Schwager calculates the volatility ratio from the following:

VR = TTR ATR where: VR = Volatility Ratio TTR = Today’s True Range Today’s True Range = Max − Min Max = Today’s High, Yesterday’s Close Min = Today’s Low, Yesterday’s Close ATR = Average True Range of the Past N-Day Period \begin{aligned} &\text{VR} = \frac { \text{TTR} }{ \text{ATR} } \\ &\textbf{where:} \\ &\text{VR} = \text{Volatility Ratio} \\ &\text{TTR} = \text{Today's True Range} \\ &\text{Today's True Range} = \text{Max} - \text{Min} \\ &\text{Max} = \text{Today's High, Yesterday's Close} \\ &\text{Min} = \text{Today's Low, Yesterday's Close} \\ &\text{ATR} = \text{Average True Range of the Past N-Day Period} \\ \end{aligned} VR=ATRTTRwhere:VR=Volatility RatioTTR=Today’s True RangeToday’s True Range=Max−MinMax=Today’s High, Yesterday’s CloseMin=Today’s Low, Yesterday’s CloseATR=Average True Range of the Past N-Day Period

Other iterations of the volatility ratio may include the following:

VR = ∣ TTR ∣ ATR where: | TTR | = Absolute Value of Max Absolute Value of Max = TH − TL , TH − YC , YC − TL TH = Today’s High TL = Today’s Low YC = Yesterday’s Close \begin{aligned} &\text{VR} = \frac { \mid \text{TTR} \mid }{ \text{ATR} } \\ &\textbf{where:} \\ &\text{| TTR |} = \text{Absolute Value of Max} \\ &\text{Absolute Value of Max} = \text{TH} - \text{TL}, \text{TH} - \text{YC}, \text{YC} - \text{TL} \\ &\text{TH} = \text{Today's High} \\ &\text{TL} = \text{Today's Low} \\ &\text{YC} = \text{Yesterday's Close} \\ \end{aligned} VR=ATR∣TTR∣where:| TTR |=Absolute Value of MaxAbsolute Value of Max=TH−TL,TH−YC,YC−TLTH=Today’s HighTL=Today’s LowYC=Yesterday’s Close

VR = ∣ TTR ∣ EMA where: EMA = Exponential Moving Average of the True Range of the Past N-Day Period \begin{aligned} &\text{VR} = \frac { \mid \text{TTR} \mid }{ \text{EMA} } \\ &\textbf{where:} \\ &\text{EMA} = \text{Exponential Moving Average of the True Range} \\ &\text{of the Past N-Day Period} \\ \end{aligned} VR=EMA∣TTR∣where:EMA=Exponential Moving Average of the True Rangeof the Past N-Day Period

Volatility Ratio Signals

Investors and traders will have their own mechanisms for following and detecting patterns from the volatility ratio. This ratio is typically plotted as a single line on a technical chart either as an overlay or in its own display window.

A higher volatility ratio will signal substantial price volatility in the current trading day. In general, volatility can be a signal of disturbances or developments affecting the security’s price. Therefore, high volatility may lead to a new trend for the security’s price in either a positive or negative direction. Traders follow volatility and the volatility ratio in conjunction with other trading patterns to help confirm a trading signal for investment.

Related terms:

Average Directional Index (ADX)

The average directional index (ADX) helps traders see the trend direction as well as the strength of that trend.  read more

Average True Range (ATR) & Formula

The average true range (ATR) is a market volatility indicator used in technical analysis. read more

Bollinger Band® (Technical Analysis)

A Bollinger Band® is a momentum indicator used in technical analysis that depicts two standard deviations above and below a simple moving average. read more

Dynamic Momentum Index

Dynamic momentum index is technical indicator that determines if a security is overbought or oversold and can be used to generate trading signals. read more

Keltner Channel

A Keltner Channel is a set of bands placed above and below an asset's price. The bands are based on volatility and can aid in determining trend direction and provide trade signals.  read more

Market Momentum

Market momentum is a measure of overall market sentiment that can support buying and selling with and against market trends.  read more

Moving Average (MA)

A moving average (MA) is a technical analysis indicator that helps smooth out price action by filtering out the “noise” from random price fluctuations. read more

Pattern

A pattern, in finance terms, is a distinctive formation on a technical analysis chart resulting from the movement of security prices. read more

Price Zone Oscillator and Uses

The Price Zone Oscillator plots a graph that shows whether or not the most recent closing price is above or below an averaged historical price. read more

Standard Deviation

The standard deviation is a statistic that measures the dispersion of a dataset relative to its mean. It is calculated as the square root of variance by determining the variation between each data point relative to the mean. read more