Hurst Cycle Channel Clone [LazyBear] — Indikator von LazyBear

lazybear custom indicators hurst cycles pricechannel

Cycle Channel is loosely based on Hurst's nested channels. Basic idea is to identify and highlight the shorter cycles, in the context of higher degree cycles.

This indicator plots the shorter term (red) & medium term (green) cycles as channels. Some things to note:

As you can see the red channel keeps moving with in the bounds of green channel. When green breaches red channel, it usually signifies extreme market condition.
Both red & green channels provide support/resistance levels. Also, the green channel provides S/R levels to the inner red channel.
Movement of red channel with reference to green highlights reversal points, reducing momentum et al. For ex., point "(x)" in the chart shows how red channel failed to reach the upper green channel line and highlighted the local top.

Use this just like other bands/channels. I have more indicators derived from this idea, will post them later.

Some more examples:
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MSFT 1M:

DXY 1M:

IWM 1M:

More info:
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List of my free indicators:
List of my app-store indicators:
(Support doc: )

List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970

Open-source Skript

Ganz im Spirit von TradingView hat der Autor dieses Skripts es als Open-Source veröffentlicht, damit Trader es besser verstehen und überprüfen können. Herzlichen Glückwunsch an den Autor! Sie können es kostenlos verwenden, aber die Wiederverwendung dieses Codes in einer Veröffentlichung unterliegt den Hausregeln. Sie können es als Favoriten auswählen, um es in einem Chart zu verwenden.

Haftungsausschluss

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Möchten Sie dieses Skript auf einem Chart verwenden?

//
// @author LazyBear 
// List of all my indicators: http://bit.ly/1LQaPK8
// 
study("Hurst Cycle Channel Clone [LazyBear]", shorttitle="HCCC_LB", overlay=true)
scl_t =  input(10, title="Short Cycle Length?")
mcl_t =  input(30, title="Medium Cycle Length?")
scm =  input(1.0, title="Short Cycle Multiplier?")
mcm =  input(3.0, title="Medium Cycle Multiplier?")
src=input(close, title="Source")
scl = scl_t/2, mcl = mcl_t/2
ma_scl=rma(src,scl)
ma_mcl=rma(src,mcl)
scm_off = scm*atr(scl)
mcm_off = mcm*atr(mcl)
scl_2=scl/2, mcl_2=mcl/2
sct =  nz(ma_scl[scl_2], src)+ scm_off
scb =  nz(ma_scl[scl_2], src)- scm_off
mct =  nz(ma_mcl[mcl_2], src)+ mcm_off
mcb =  nz(ma_mcl[mcl_2], src)- mcm_off
scc=#E8E8E8, mcc=#E8E8E8 
sccm=gray, mccm=black
sccf=red, mccf=green
sctl=plot(sct, color=scc, title="ShortCycleTop")
scbl=plot(scb, color=scc, title="ShortCycleBottom")
plot(avg(sct,scb), title="ShortCycleMedian", color=sccm, style=line)
mctl=plot(mct, color=mcc, title="MediumCycleTop", style=line, linewidth=0)
mcbl=plot(mcb, color=mcc, title="MediumCycleBottom", style=line, linewidth=0)
plot(avg(mct,mcb), title="MediumCycleMedian", color=mccm, style=line)
fill(sctl, scbl, sccf)
fill(mctl, mcbl, mccf)