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Momentum Indicator (MOM)

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.
Pine Script™ indicator
by SteveFromAZ
1
[RESEARCH] MomentumHello traders and developers! I compared different techniques to get momentum of the series. The 4 samples are: 1) Raw difference between price and price some bars ago 2) Built-in "change" function 3) Built-in "mom" function 4) Jedi's momentum - difference between current and previous SMA multiplied by it's period All results are identical. So, we have two built-in functions that do the same thing: "change" and "mom". For brevity it is better to use "mom" when you need to get momentum of the series. Good luck!
Pine Script™ indicator
by everget
Dynamic Momentum Index (DMI) Backtest This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator is covered in detail in their book The New Technical Trader. The DMI is identical to Welles Wilder`s Relative Strength Index except the number of periods is variable rather than fixed. The variability of the time periods used in the DMI is controlled by the recent volatility of prices. The more volatile the prices, the more sensitive the DMI is to price changes. In other words, the DMI will use more time periods during quiet markets, and less during active markets. The maximum time periods the DMI can reach is 30 and the minimum is 3. This calculation method is similar to the Variable Moving Average, also developed by Tushar Chande. The advantage of using a variable length time period when calculating the RSI is that it overcomes the negative effects of smoothing, which often obscure short-term moves. The volatility index used in controlling the time periods in the DMI is based on a calculation using a five period standard deviation and a ten period average of the standard deviation. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
Pine Script™ strategy
by HPotter
3
Dynamic Momentum Index (DMI) Strategy This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator is covered in detail in their book The New Technical Trader. The DMI is identical to Welles Wilder`s Relative Strength Index except the number of periods is variable rather than fixed. The variability of the time periods used in the DMI is controlled by the recent volatility of prices. The more volatile the prices, the more sensitive the DMI is to price changes. In other words, the DMI will use more time periods during quiet markets, and less during active markets. The maximum time periods the DMI can reach is 30 and the minimum is 3. This calculation method is similar to the Variable Moving Average, also developed by Tushar Chande. The advantage of using a variable length time period when calculating the RSI is that it overcomes the negative effects of smoothing, which often obscure short-term moves. The volatility index used in controlling the time periods in the DMI is based on a calculation using a five period standard deviation and a ten period average of the standard deviation. WARNING: - This script to change bars colors.
Pine Script™ indicator
by HPotter