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# Triple Exponential Moving Average (TEMA) - indicator for MetaTrader 5

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Published:
2010.02.03 14:02
Updated:
2016.11.22 07:32

Triple Exponential Moving Average (TEMA) technical indicator was developed by Patrick Mulloy and published in the "Technical Analysis of Stocks & Commodities" magazine.

The principle of its calculation is similar to Double Exponential Moving Average (DEMA). The name "Triple Exponential Moving Average" does not very correctly reflect its algorithm. This is a unique blend of the single, double and triple exponential smoothing average providing the smaller lag than each of them separately.

TEMA can be used instead of traditional moving averages. It can be used for smoothing price data, as well as for smoothing other indicators.

Triple Exponential Moving Average Indicator

Calculation:

First DEMA is calculated, then the error of price deviation from DEMA is calculated:

err(i) = Price(i) - DEMA(Price, N, ii)

where:

• err(i) - current DEMA error;
• Price(i) - current price;
• DEMA(Price, N, i) - current DEMA value from Price series with N period.

Then add value of the exponential average of the error and get TEMA:

TEMA(i) = DEMA(Price, N, i) + EMA(err, N, i) = DEMA(Price, N, i) + EMA(Price - EMA(Price, N, i), N, i) =
= DEMA(Price, N, i) + EMA(Price - DEMA(Price, N, i), N, i) = 3 * EMA(Price, N, i) - 3 * EMA2(Price, N, i) + EMA3(Price, N, i)

where:

• EMA(err, N, i) - current value of the exponential average of the err error;
• EMA2(Price, N, i) - current value of the double sequential price smoothing;
• EMA3(Price, N, i) - current value of the triple sequential price smoothing.
Double Exponential Moving Average (DEMA)

It is used for smoothing price series and is applied directly on a price chart of a financial security.