Smoothed Moving Average (SMMA)


Moving averages are amongst the most widely used tools by participants in the currency markets. The strength of a moving average is its ability to filter out price noise reducing what can be extremely volatile price series into more discernible trends, thereby allowing traders to ascertain the strength and direction of the trend. Moving averages smooth past price data to form trend following indicators and are a component in many other technical indicators including the MACD, the DeMarker and the Directional Movement System amongst many others.

The SMMA gives recent prices an equal weighting to historic prices. The calculation takes all available data series into account rather than referring to a fixed period. This is achieved by subtracting the prior periods SMMA from the current periods price. Adding this result to yesterday’s Smoothed Moving Average gives today’s Moving Average.



The first value for the Smoothed Moving Average is calculated as a Simple Moving Average (SMA):



The second and subsequent moving averages are calculated according to this formula:

SMMA (i) = (SUM1 – SMMA1+CLOSE (i))/ N


SUM1 – is the total sum of closing prices for N periods;
SMMA1 – is the smoothed moving average of the first bar;
SMMA (i) – is the smoothed moving average of the current bar (except the first one);
CLOSE (i) – is the current closing price;
N – is the smoothing period.


Trading with Moving Averages

Type to use

Moving averages are commonly used to identify trends and reversals as well as identifying support and resistance levels. Moving averages such the WMA and EMA, which are more sensitive to recent prices (experience less lag with price) will turn before an SMA. They are therefore more suitable for dynamic trades, which are reactive to short term price movements. Moving averages such as the SMA move more slowly providing valuable information on the long dominant trend. They can however be prone to giving late signals causing the trader to miss significant parts of the price movement.

Trade Signals

Moving Average Crossovers: Moving average crossovers is a term applied when more than one moving average is used to generate a trade signal where traders will act when the shorter term moving average crosses the longer term moving average. A bullish crossover occurs when the shorter term moving average crosses above the longer term moving average (golden cross). A bearish crossover occurs where the shorter term moving average crosses below the longer term moving average (dead cross).

Price crossovers: A Price crossover is a term applied when a signal is generated where the price crosses a moving average. Bullish signals are given when the price moves above the moving average, bearish signals are given when the price moves below the moving average. Crossover trades are more likely to enjoy success when the moving average slopes are in the direction of the trade.

Support and Resistance: Moving averages can also act as a support level in an uptrend and resistance levels in a downtrend. If the average is widely followed orders in favour of the trend often cluster around the average. As markets are often driven by emotion and many players trade counter to the trend expect overshoots, to this extent the average should be used to identify support and resistance zones rather than exact levels.

Moving Average Trade Signals