Hurst Cycle Channel Clone [LazyBear] — 由LazyBear 提供的指標

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

開源腳本

本著真正的TradingView精神，該腳本的作者將其開源發布，以便交易者可以理解和驗證它。為作者喝彩吧！您可以免費使用它，但在出版物中重複使用此代碼受網站規則的約束。您可以收藏它以在圖表上使用。

免責聲明

這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。

想在圖表上使用此腳本？

//
// @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)