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- Published:
- 2015.10.12 17:02
- Updated:
- 2016.11.22 07:32
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Real author:
klot
This indicator is an example of smoothing the Momentum indicator timeseries by filtering high-order harmonics.
You can use this approach for smoothing the output of any indicator. The major advantage of this method is that it has practically zero latency.
Indicator input parameters:
input int MomentumPeriod=14; input ENUM_APPLIED_PRICE MomentumPrice=PRICE_MEDIAN; input uint N = 7; // Series length input uint SS = 20; // Smoothing coefficient input int Shift=0; // Horizontal indicator shift in bars
where:
- N — sets the series length (power of two);
- SS — smoothing coefficient in the resulting spectrum zeroes out frequencies exceeding the set value. SS cannot be greater than 2^N. If SS = 2^N, the Momentum series is repeated.
This indicator requires the following library: https://www.mql5.com/ru/code/7000.
Fig.1. The i-SpectrAnalysis_Momentum indicator
Translated from Russian by MetaQuotes Ltd.
Original code: https://www.mql5.com/ru/code/13737
![Exp_i-KlPrice](https://c.mql5.com/i/code/expert.png)
The Exp_i-KlPrice Expert Advisor is based on the i-KlPrice histogram breaking through the overbought and oversold levels.
![Exp_i-BandsPrice](https://c.mql5.com/i/code/expert.png)
The Exp_i-BandsPrice Expert Advisor is based on the i-BandsPrice histogram breaking through the overbought and oversold levels.
![i-SpectrAnalysis_TriX](https://c.mql5.com/i/code/indicator.png)
This indicator is an example of smoothing the TriX indicator timeseries by filtering high-order harmonics.
![i-SpectrAnalysis_MA](https://c.mql5.com/i/code/indicator.png)
This indicator is an example of smoothing the Moving Average indicator timeseries by filtering high-order harmonics.