LazyBear

Hurst Cycle Channel Clone [LazyBear]

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:
---------------------------------

MSFT 1M:

DXY 1M:

IWM 1M:

More info:
------------
cyclicwave.blogspot....-cycles-courses.html

List of my free indicators: bit.ly/1LQaPK8
List of my app-store indicators: blog.tradingview.com/?p=970
(Support doc: bit.ly/lazybeardoc)


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

本着真正的TradingView精神,该脚本的作者将其开源发布,以便交易者可以理解和验证它。为作者喝彩!您可以免费使用它,但在出版物中重复使用此代码受网站规则的约束。 您可以收藏它以在图表上使用。

免责声明

这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。

想在图表上使用此脚本?
//
// @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)