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Göstergeler

RBCI - MetaTrader 5 için gösterge

Yayınlayan:
Nikolay Kositsin
Görüntülemeler:
13020
Derecelendirme:
(18)
Yayınlandı:
2011.09.20 11:27
Güncellendi:
2023.03.29 13:42
Bu koda dayalı bir robota veya göstergeye mi ihtiyacınız var? Freelance üzerinden sipariş edin Freelance'e git

Real author:

Vladimir Kravchuk

"New Adaptive Method of Following the Tendency and Market Cycles"

Range Bound Channel Index (RBCI) is calculated by means of the channel (bandwidth) filter (CF).

Channel filter simultaneously fulfills two functions: removes low frequent trend formed by low frequent components of the spectrum; removes high frequency noise formed by the high frequent components of the spectrum.

The simplified formula for RBCI calculation has the following look:

RBCI(bar) = FATL(bar) –SATL(bar)

where:

  • FATL(bar) - FATL digital filter;
  • SATL(bar) - SATL digital filter.

When RBCI approaches its local maximum the prices approach upper border of the trading channel and when RBCI approach its local minimum the prices approach the lower border of the trading corridor. Let’s mark main property of RBCI index. This is quasistationary (that is almost stationary) process bound by the frequency range both from above and below.

RBCI_filters

RBCI filter coefficients

The indicator uses the SmoothAlgorithms.mqh and IndicatorsAlgorithms.mqh classes. The use of the classes was thoroughly published in the article "Averaging Price Series for Intermediate Calculations Without Using Additional Buffers".

RBCI

RBCI indicator

MetaQuotes Ltd tarafından Rusçadan çevrilmiştir.
Orijinal kod: https://www.mql5.com/ru/code/408

J2JMA J2JMA

Moving average with the double adaptive JMA smoothing of a price range.

SATL SATL

Slow Adaptive Trend Line is used for suppressing market noises and market cycles with longer oscillation periods.

JFATL JFATL

The indicator is a combination of the FATL digital filter and analogue JMA adaptive smoothing.

JCCX JCCX

Symmetrical normalized CCI (Commodity Channel Index) with alternative (ultralinear and JMA) smoothing algorithms.