[RS][NM]Improved Linear Regression Bull and Bear Power v01
The base code for this indicator was created by RicardoSantos
What I added is a signal line that indicates when to buy and when to sell.
Advised use :
Combine with a zero-lag indicator like ZeroLagEMA_LB by LazyBear (suggested period = 34)
Then use the following Rules of engagement :
Current price > ZLEMA & Signal line of BBP_NM is green : BUY
Current price < ZLEMA & Signal line of BBP_NM is red : SELL Please click the like button if you dig this indicator !
What I added is a signal line that indicates when to buy and when to sell.
Advised use :
Combine with a zero-lag indicator like ZeroLagEMA_LB by LazyBear (suggested period = 34)
Then use the following Rules of engagement :
Current price > ZLEMA & Signal line of BBP_NM is green : BUY
Current price < ZLEMA & Signal line of BBP_NM is red : SELL Please click the like button if you dig this indicator !
تعليق:
I have found a little calculation error in this script where if there is no data for either bull or bear volume, the indicator will not plot. This has been corrected in version 2
![[NM]Improved Linear Regression Bull and Bear Power v02](https://static.tradingview.com/static/images/svg/idea-image-placeholder.svg)
![[NM]Improved Linear Regression Bull and Bear Power v02](https://s3.tradingview.com/g/GQZct22g_big.png)
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Twitter: twitter.com/NicoMuselle
//@version=1
// this code uses the Linear Regression Bull and Bear Power indicator created by RicardoSantos
// and adds a signal line
// Use : if signal line is changes color, you have your signal, green = buy, red = sell
// Advice : best used with a zero lag indicator like ZeroLagEMA_LB from LazyBear
// if price is above ZLEMA and signal = green => buy, price below ZLEMA and signal = red => sell
study(title='[RS][NM]Improved Linear Regression Bull and Bear Power v01', shorttitle='BBP_NM', overlay=false)
window = input(title='Lookback Window:', type=integer, defval=10)
f_exp_lr(_height, _length)=>
_ret = _height + (_height/_length)
h_value = highest(close, window)
l_value = lowest(close, window)
h_bar = n-highestbars(close, window)
l_bar = n-lowestbars(close, window)
bear = 0-f_exp_lr(h_value-close, n-h_bar)
bull = 0+f_exp_lr(close-l_value, n-l_bar)
direction = bull*2 + bear*2
plot(title='Bear', series=bear, style=columns, color=maroon, transp=90)
plot(title='Bull', series=bull, style=columns, color=green, transp=90)
plot(title='Direction', series=direction, style=line, linewidth=3, color= direction > 0 ? green : red)