The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag. The resulting average is more responsive and well-suited for identifying entry points.
Notice in the example below that the HMA line (in red) turns more quickly and decisively than the corresponding SMA (in blue).
The formula for the Hull Moving Average uses two different weighted moving averages (WMAs) of price, plus a third WMA to smooth the raw moving average. There are three parts to the calculation. In the formulas listed below, “n” indicates the number of periods specified by the chartist.
First, calculate two WMAs: one with the specified number of periods and one with half the specified number of periods.
WMA1 = WMA(n/2) of price WMA2 = WMA(n) of price
Second, calculate the raw (non-smoothed) Hull Moving Average.
Raw HMA = (2 * WMA1) - WMA2
Third, smooth the raw HMA with another WMA, this one with the square root of the specified number of periods.
HMA = WMA(sqrt(n)) of Raw HMA
Of course, when you divide a whole number by two or calculate its square root, you don't always end up with a whole number as a result. In that case, we round the result to the nearest whole number, so we can use that as the number of periods when calculating weighted moving averages.
For example, when calculating an 11-day HMA, we end up with non-whole numbers for two of our WMAs. For calculating the n/2 WMA, 11/2 is 5.5, so we would round that up to 6 for the WMA calculation. For the sqrt(n) WMA, the square root of 11 is 3.317, so we would round that down to 3 for the number of WMA periods in the final smoothing calculation.
The end result is a smooth moving average line that stays very close to the price bars.
The Hull Moving Average can be interpreted in a similar way to traditional moving averages, but it responds more quickly. Like other moving averages, it can be used to confirm a trend or spot a change in the trend.
HMAs with shorter periods are often used to identify entry points. When the overall trend is up and the HMA turns up, this is a signal to buy long. Conversely, when the overall trend is down and the HMA turns down, this is a signal to buy short.
Although crossover signals (e.g. where a shorter-term MA crosses a longer-term MA) are popular with many types of moving averages, HMA creator Alan Hull does not recommend using crossovers with HMAs, because that technique depends on looking at differences in lag between the two moving averages, and the lag has already been greatly reduced in Hull Moving Averages. Instead, he recommends looking at turning points to identify entries and exits, as outlined above.
In addition, HMAs with longer periods (e.g. 200-period HMA) can be used to identify the current overall trend. If the HMA is rising, the overall trend is up; if the HMA is falling, the overall trend is down.
The Hull Moving Average (HMA) overlay is designed to minimize the lag present in traditional moving averages. Short-term traders can look for turning points in the average to identify entry/exit points. Longer-term HMAs can be used to identify or confirm the overall trend. As with all technical indicators, traders should use the HMA in conjunction with other indicators and analysis techniques.
The HMA overlay can be charted on StockChartsACP after installing our free Advanced Indicator Pack. Please see our StockChartsACP Plug-Ins article in the Support Center for more information on installing this plug-in.
Once the plug-in is installed, the HMA overlay can be added from the Chart Settings panel for your StockChartsACP chart. HMA can be overlaid on the security's price plot or on an indicator panel.
By default, the moving average is calculated with 20 periods, but the number of periods can be adjusted to meet your technical analysis needs.