Double Exponential Moving Average (DEMA) is a smoother and faster Moving average developed with the purpose of reducing the lag time found in traditional moving averages.

DEMA was first time introduced in 1994, in the article “Smoothing Data with Faster Moving Averages” by Patrick G. Mulloy in “Technical Analysis of Stocks & Commodities” magazine. In this article Mulloy says: “Moving averages have a detrimental lag time that increases as the moving average length increases. The solution is a modified version of exponential smoothing with less lag time..”

 

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