OPEN-SOURCE SCRIPT
Volatility Based Momentum (VBM)
The Volatility Based Momentum (VBM) indicator is a variation on the rate-of-change (ROC) indicator. Instead of expressing momentum in a percentage gain or loss, VBM normalizes momentum using the historical volatility of the underlying security.
The VBM indicator offers numerous benefits to traders who orient their trading around volatility. For these traders, VBM expresses momentum in a normalized, universally applicable ‘multiples of volatility’ (MoV) unit. Given the universal applicability of MoV, VBM is especially suited to traders whose trading incorporates numerous timeframes, different types of securities (e.g., stocks, Forex pairs), or the frequent comparison of momentum between multiple securities.
The calculation for a volatility based momentum (VBM) indicator is very similar to ROC, but divides by the security’s historical volatility instead. The average true range indicator (ATR) is used to compute historical volatility.
VBM(n,v) = (Close - Close n periods ago) / ATR(v periods)
For example, on a daily chart, VBM(22,65) calculates how many MoV price has increased or decreased over the last 22 trading days (approximately one calendar month). The second parameter is the number of periods to use with the ATR indicator to normalize the momentum in terms of volatility.
For more details, there is an article further describing VBM and its applicability versus ROC.
The VBM indicator offers numerous benefits to traders who orient their trading around volatility. For these traders, VBM expresses momentum in a normalized, universally applicable ‘multiples of volatility’ (MoV) unit. Given the universal applicability of MoV, VBM is especially suited to traders whose trading incorporates numerous timeframes, different types of securities (e.g., stocks, Forex pairs), or the frequent comparison of momentum between multiple securities.
The calculation for a volatility based momentum (VBM) indicator is very similar to ROC, but divides by the security’s historical volatility instead. The average true range indicator (ATR) is used to compute historical volatility.
VBM(n,v) = (Close - Close n periods ago) / ATR(v periods)
For example, on a daily chart, VBM(22,65) calculates how many MoV price has increased or decreased over the last 22 trading days (approximately one calendar month). The second parameter is the number of periods to use with the ATR indicator to normalize the momentum in terms of volatility.
For more details, there is an article further describing VBM and its applicability versus ROC.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.