OPEN-SOURCE SCRIPT

Return the percentage of rising moving averages with periods in a custom range from *min* to *max*, with the possibility of using different types of moving averages.

**Settings**

**Usages**

The indicator can return information about the main direction of a trend as well as its overall strength. A value of the indicator above 50 implies that more than 50% of the moving averages from period*min* to *max* are rising, this would suggest an uptrend, while a value inferior to 50 would suggest a down-trend.

On the chart, a ribbon consisting of simple moving averages from period 14 to 19, with a color indicating their direction, below the indicator with*min* = 14 and *max* = 19

The strength of a trend can be determined by how close the indicator is to 0 or 100, a value of 100 would imply that 100% percent of the moving averages are rising, this indicates a strong up-trend, while a value of 0 would suggest a strong down-trend.

Using different types of moving averages can allow to have more reactive or on the contrary, less noisy results.

Here the type of moving average used by both the ribbon and the indicator is the WMA, the WMA is more reactive than the SMA at the cost of providing less amount of filtering. On the other hand, using a triangular moving average (TMA) provide more filtering at the cost of being less reactive.

Finally, irregularities in the indicator output can be removed by using the smooth setting.

Above smooth = 50.

**Details**

The indicator is based upon a for loop, this implies that both the sma, wma or change functions are not directly usable, fortunately for us, it is possible to get the first difference of both the SMA, WMA and TMA without relying on a loop by using simple calculations.

The first difference of an SMA of period*p* is simply a momentum oscillator of period *p* divided by *p*, there are two ways to explain why this is the case, first, simple math can prove this, the first difference of an SMA is given by:

The repeating terms cancel each other out, as such, we end up with

which is simply a momentum oscillator divided by*p*, since this division doesn't change the sign of the output we can leave it out. We can also use impulses responses to prove this, the impulse response of a simple moving average is rectangular, taking the first difference of this impulse response will give the impulse response of a momentum oscillator, with the only difference being that the non-zero values of the result will be equal to *1/p* instead of 1.

The same thing applies to the WMA

above the impulse response of the first difference of a WMA, we can see it is extremely similar to the one of a high pass SMA, only 1 bar longer, as such we can have the first difference of a WMA quite easily. The TMA is simply a 2 pass SMA (the SMA of an SMA), as such the solution is also simple.

- Minimum MA Length Value : minimum period of the moving average.
- Maximum MA Length Value : maximum period of the moving average.
- Smooth : determine the period of an EMA using the indicator as input, 1 (no smoothing) by default.
- Src : source input for the moving averages.
- Type : type of the moving averages to be analyzed, available options are "SMA", "WMA" and "TMA", by default "SMA".

The indicator can return information about the main direction of a trend as well as its overall strength. A value of the indicator above 50 implies that more than 50% of the moving averages from period

On the chart, a ribbon consisting of simple moving averages from period 14 to 19, with a color indicating their direction, below the indicator with

The strength of a trend can be determined by how close the indicator is to 0 or 100, a value of 100 would imply that 100% percent of the moving averages are rising, this indicates a strong up-trend, while a value of 0 would suggest a strong down-trend.

Using different types of moving averages can allow to have more reactive or on the contrary, less noisy results.

Here the type of moving average used by both the ribbon and the indicator is the WMA, the WMA is more reactive than the SMA at the cost of providing less amount of filtering. On the other hand, using a triangular moving average (TMA) provide more filtering at the cost of being less reactive.

Finally, irregularities in the indicator output can be removed by using the smooth setting.

Above smooth = 50.

The indicator is based upon a for loop, this implies that both the sma, wma or change functions are not directly usable, fortunately for us, it is possible to get the first difference of both the SMA, WMA and TMA without relying on a loop by using simple calculations.

The first difference of an SMA of period

The repeating terms cancel each other out, as such, we end up with

which is simply a momentum oscillator divided by

The same thing applies to the WMA

above the impulse response of the first difference of a WMA, we can see it is extremely similar to the one of a high pass SMA, only 1 bar longer, as such we can have the first difference of a WMA quite easily. The TMA is simply a 2 pass SMA (the SMA of an SMA), as such the solution is also simple.

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in publication is governed by House rules. You can favorite it to use it on a chart.

Check out the indicators we are making at luxalgo: tradingview.com/u/LuxAlgo/

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