BUGATE
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © ParkF
//@version=5
indicator(‘RSI+’, overlay=false, max_bars_back=1500)
// rsi divergence
// input
rsig = ‘RSI’
rb = input(2, ‘How many Right Bars for Pivots’, group=rsig)
lb = input(15, ‘How many Left Bars for Pivots’, group=rsig)
sph = input(close, ‘Pivot source for Bear Divs’, group=rsig)
spl = input(close, ‘Pivots Source for Bull Divs’, group=rsig)
len = input.int(14, ‘ RSI Length’, minval=1, group=rsig)
lvl = input.int(5, ‘Lookback Level for Divs’, options=, group=rsig)
// pivot
ph = ta.pivothigh( sph , lb , rb)
pl = ta.pivotlow( spl , lb , rb)
hi0 = ta.valuewhen( ph , sph, 0)
hi1 = ta.valuewhen( ph , sph, 1)
hi2 = ta.valuewhen( ph , sph, 2)
hi3 = ta.valuewhen( ph , sph, 3)
hi4 = ta.valuewhen( ph , sph, 4)
hi5 = ta.valuewhen( ph , sph, 5)
lo0 = ta.valuewhen(pl, spl, 0)
lo1 = ta.valuewhen(pl, spl, 1)
lo2 = ta.valuewhen(pl, spl, 2)
lo3 = ta.valuewhen(pl, spl, 3)
lo4 = ta.valuewhen(pl, spl, 4)
lo5 = ta.valuewhen(pl, spl, 5)
lox0 = ta.valuewhen(pl, bar_index, 0)
lox1 = ta.valuewhen(pl, bar_index, 1)
lox2 = ta.valuewhen(pl, bar_index, 2)
lox3 = ta.valuewhen(pl, bar_index, 3)
lox4 = ta.valuewhen(pl, bar_index, 4)
lox5 = ta.valuewhen(pl, bar_index, 5)
hix0 = ta.valuewhen( ph , bar_index, 0)
hix1 = ta.valuewhen( ph , bar_index, 1)
hix2 = ta.valuewhen( ph , bar_index, 2)
hix3 = ta.valuewhen( ph , bar_index, 3)
hix4 = ta.valuewhen( ph , bar_index, 4)
hix5 = ta.valuewhen( ph , bar_index, 5)
rsi = ta. rsi (close, len )
rh0 = ta.valuewhen( ph , rsi, 0)
rh1 = ta.valuewhen( ph , rsi, 1)
rh2 = ta.valuewhen( ph , rsi, 2)
rh3 = ta.valuewhen( ph , rsi, 3)
rh4 = ta.valuewhen( ph , rsi, 4)
rh5 = ta.valuewhen( ph , rsi, 5)
rl0 = ta.valuewhen(pl, rsi, 0)
rl1 = ta.valuewhen(pl, rsi, 1)
rl2 = ta.valuewhen(pl, rsi, 2)
rl3 = ta.valuewhen(pl, rsi, 3)
rl4 = ta.valuewhen(pl, rsi, 4)
rl5 = ta.valuewhen(pl, rsi, 5)
// bull & bear divergence logic
bull_div_1= lo0<lo1
and rl1<rl0
bull_div_2= lo0<lo1 and lo0<lo2
and rl2<rl0 and rl2<rl1 and lvl>=2
bull_div_3= lo0<lo1 and lo0<lo2 and lo0<lo3
and rl3<rl0 and rl3<rl1 and rl3<rl2 and lvl>=3
bull_div_4= lo0<lo1 and lo0<lo2 and lo0<lo3 and lo0<lo4
and rl4<rl0 and rl4<rl1 and rl4<rl2 and rl4<rl3 and lvl>=4
bull_div_5= lo0<lo1 and lo0<lo2 and lo0<lo3 and lo0<lo4 and lo0<lo5
and rl5<rl0 and rl5<rl1 and rl5<rl2 and rl5<rl3 and rl5<rl4 and lvl>=5
bear_div_1= hi0>hi1
and rh1>rh0
bear_div_2= hi0>hi1 and hi0>hi2
and rh2>rh0 and rh2>rh1 and lvl>=2
bear_div_3= hi0>hi1 and hi0>hi2 and hi0>hi3
and rh3>rh0 and rh3>rh1 and rh3>rh2 and lvl>=3
bear_div_4= hi0>hi1 and hi0>hi2 and hi0>hi3 and hi0>hi4
and rh4>rh0 and rh4>rh1 and rh4>rh2 and rh4>rh3 and lvl>=4
bear_div_5= hi0>hi1 and hi0>hi2 and hi0>hi3 and hi0>hi4 and hi0>hi5
and rh5>rh0 and rh5>rh1 and rh5>rh2 and rh5>rh3 and rh5>rh4 and lvl>=5
new_bull1= bull_div_1 and not bull_div_1
new_bull2= bull_div_2 and not bull_div_2
new_bull3= bull_div_3 and not bull_div_3
new_bull4= bull_div_4 and not bull_div_4
new_bull5= bull_div_5 and not bull_div_5
new_bear1= bear_div_1 and not bear_div_1
new_bear2= bear_div_2 and not bear_div_2
new_bear3= bear_div_3 and not bear_div_3
new_bear4= bear_div_4 and not bear_div_4
new_bear5= bear_div_5 and not bear_div_5
recall(x) =>
ta.barssince(not na(x))
// bull divergence line plot
rbull1 = line(na)
rbull1 := new_bull1 and not new_bull2 and not new_bull3 and not new_bull4 and not new_bull5 ? line.new(lox0, rl0, lox1, rl1, color=#ff9800, width=2) : na
rbull2 = line(na)
rbull2 := new_bull2 and not new_bull3 and not new_bull4 and not new_bull5 ? line.new(lox0, rl0, lox2, rl2, color=#ff9800, width=2) : na
rbull3 = line(na)
rbull3 := new_bull3 and not new_bull4 and not new_bull5 ? line.new(lox0, rl0, lox3, rl3, color=#ff9800, width=2) : na
rbull4 = line(na)
rbull4 := new_bull4 and not new_bull5 ? line.new(lox0, rl0, lox4, rl4, color=#ff9800, width=2) : na
rbull5 = line(na)
rbull5 := new_bull5 ? line.new(lox0, rl0, lox5, rl5, color=#ff9800, width=2) : na
xbull21 = ta.valuewhen(recall(rbull2) == 0, bar_index, 0) – ta.valuewhen(recall(rbull1) == 0, bar_index, 0)
xbull31 = ta.valuewhen(recall(rbull3) == 0, bar_index, 0) – ta.valuewhen(recall(rbull1) == 0, bar_index, 0)
xbull41 = ta.valuewhen(recall(rbull4) == 0, bar_index, 0) – ta.valuewhen(recall(rbull1) == 0, bar_index, 0)
xbull51 = ta.valuewhen(recall(rbull5) == 0, bar_index, 0) – ta.valuewhen(recall(rbull1) == 0, bar_index, 0)
xbull32 = ta.valuewhen(recall(rbull3) == 0, bar_index, 0) – ta.valuewhen(recall(rbull2) == 0, bar_index, 0)
xbull42 = ta.valuewhen(recall(rbull4) == 0, bar_index, 0) – ta.valuewhen(recall(rbull2) == 0, bar_index, 0)
xbull52 = ta.valuewhen(recall(rbull5) == 0, bar_index, 0) – ta.valuewhen(recall(rbull2) == 0, bar_index, 0)
xbull43 = ta.valuewhen(recall(rbull4) == 0, bar_index, 0) – ta.valuewhen(recall(rbull3) == 0, bar_index, 0)
xbull53 = ta.valuewhen(recall(rbull5) == 0, bar_index, 0) – ta.valuewhen(recall(rbull3) == 0, bar_index, 0)
xbull54 = ta.valuewhen(recall(rbull5) == 0, bar_index, 0) – ta.valuewhen(recall(rbull4) == 0, bar_index, 0)
if new_bull2 and lo2 == ta.valuewhen(new_bull1, lo1, 0) and xbull21 >= 0
line.delete(rbull1)
if new_bull3 and lo3 == ta.valuewhen(new_bull1, lo1, 0) and xbull31 >= 0
line.delete(rbull1)
if new_bull4 and lo4 == ta.valuewhen(new_bull1, lo1, 0) and xbull41 >= 0
line.delete(rbull1)
if new_bull5 and lo5 == ta.valuewhen(new_bull1, lo1, 0) and xbull51 >= 0
line.delete(rbull1)
if new_bull3 and lo3 == ta.valuewhen(new_bull2, lo2, 0) and xbull32 >= 0
line.delete(rbull2)
if new_bull4 and lo4 == ta.valuewhen(new_bull2, lo2, 0) and xbull42 >= 0
line.delete(rbull2)
if new_bull5 and lo5 == ta.valuewhen(new_bull2, lo2, 0) and xbull52 >= 0
line.delete(rbull2)
if new_bull4 and lo4 == ta.valuewhen(new_bull3, lo3, 0) and xbull43 >= 0
line.delete(rbull3)
if new_bull5 and lo5 == ta.valuewhen(new_bull3, lo3, 0) and xbull53 >= 0
line.delete(rbull3)
if new_bull5 and lo5 == ta.valuewhen(new_bull4, lo4, 0) and xbull54 >= 0
line.delete(rbull4)
// bear divergence line plot
rbear1 = line(na)
rbear1 := new_bear1 and not new_bear2 and not new_bear3 and not new_bear4 and not new_bear5 ? line.new(hix0, rh0, hix1, rh1, color=#ff9800, width=2) : na
rbear2 = line(na)
rbear2 := new_bear2 and not new_bear3 and not new_bear4 and not new_bear5 ? line.new(hix0, rh0, hix2, rh2, color=#ff9800, width=2) : na
rbear3 = line(na)
rbear3 := new_bear3 and not new_bear4 and not new_bear5 ? line.new(hix0, rh0, hix3, rh3, color=#ff9800, width=2) : na
rbear4 = line(na)
rbear4 := new_bear4 and not new_bear5 ? line.new(hix0, rh0, hix4, rh4, color=#ff9800, width=2) : na
rbear5 = line(na)
rbear5 := new_bear5 ? line.new(hix0, rh0, hix5, rh5, color=#ff9800, width=2) : na
xbear21 = ta.valuewhen(recall(rbear2) == 0, bar_index, 0) – ta.valuewhen(recall(rbear1) == 0, bar_index, 0)
xbear31 = ta.valuewhen(recall(rbear3) == 0, bar_index, 0) – ta.valuewhen(recall(rbear1) == 0, bar_index, 0)
xbear41 = ta.valuewhen(recall(rbear4) == 0, bar_index, 0) – ta.valuewhen(recall(rbear1) == 0, bar_index, 0)
xbear51 = ta.valuewhen(recall(rbear5) == 0, bar_index, 0) – ta.valuewhen(recall(rbear1) == 0, bar_index, 0)
xbear32 = ta.valuewhen(recall(rbear3) == 0, bar_index, 0) – ta.valuewhen(recall(rbear2) == 0, bar_index, 0)
xbear42 = ta.valuewhen(recall(rbear4) == 0, bar_index, 0) – ta.valuewhen(recall(rbear2) == 0, bar_index, 0)
xbear52 = ta.valuewhen(recall(rbear5) == 0, bar_index, 0) – ta.valuewhen(recall(rbear2) == 0, bar_index, 0)
xbear43 = ta.valuewhen(recall(rbear4) == 0, bar_index, 0) – ta.valuewhen(recall(rbear3) == 0, bar_index, 0)
xbear53 = ta.valuewhen(recall(rbear5) == 0, bar_index, 0) – ta.valuewhen(recall(rbear3) == 0, bar_index, 0)
xbear54 = ta.valuewhen(recall(rbear5) == 0, bar_index, 0) – ta.valuewhen(recall(rbear4) == 0, bar_index, 0)
if new_bear2 and hi2 == ta.valuewhen(new_bear1, hi1, 0) and xbear21 >= 0
line.delete(rbear1)
if new_bear3 and hi3 == ta.valuewhen(new_bear1, hi1, 0) and xbear31 >= 0
line.delete(rbear1)
if new_bear4 and hi4 == ta.valuewhen(new_bear1, hi1, 0) and xbear41 >= 0
line.delete(rbear1)
if new_bear5 and hi5 == ta.valuewhen(new_bear1, hi1, 0) and xbear51 >= 0
line.delete(rbear1)
if new_bear3 and hi3 == ta.valuewhen(new_bear2, hi2, 0) and xbear32 >= 0
line.delete(rbear2)
if new_bear4 and hi4 == ta.valuewhen(new_bear2, hi2, 0) and xbear42 >= 0
line.delete(rbear2)
if new_bear5 and hi5 == ta.valuewhen(new_bear2, hi2, 0) and xbear52 >= 0
line.delete(rbear2)
if new_bear4 and hi4 == ta.valuewhen(new_bear3, hi3, 0) and xbear43 >= 0
line.delete(rbear3)
if new_bear5 and hi5 == ta.valuewhen(new_bear3, hi3, 0) and xbear53 >= 0
line.delete(rbear3)
if new_bear5 and hi5 == ta.valuewhen(new_bear4, hi4, 0) and xbear54 >= 0
line.delete(rbear4)
plotshape(title=’bull_div_1′, series=new_bull1 ? 13 : na, style=shape.triangleup, color=#089981, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bull_div_2′, series=new_bull2 ? 13 : na, style=shape.triangleup, color=#089981, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bull_div_3′, series=new_bull3 ? 13 : na, style=shape.triangleup, color=#089981, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bull_div_4′, series=new_bull4 ? 13 : na, style=shape.triangleup, color=#089981, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bull_div_5′, series=new_bull5 ? 13 : na, style=shape.triangleup, color=#089981, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bear_div_1′, series=new_bear1 ? 87 : na, style=shape.triangledown, color=#f23645, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bear_div_2′, series=new_bear2 ? 87 : na, style=shape.triangledown, color=#f23645, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bear_div_3′, series=new_bear3 ? 87 : na, style=shape.triangledown, color=#f23645, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bear_div_4′, series=new_bear4 ? 87 : na, style=shape.triangledown, color=#f23645, location=location.absolute, size=size.tiny, offset=-2)
plotshape(title=’bear_div_5′, series=new_bear5 ? 87 : na, style=shape.triangledown, color=#f23645, location=location.absolute, size=size.tiny, offset=-2)
// rsi candle (with wick)
// rsi configuration
rsrc = close
ad = true
// rsi function
pine_rsi(rsrc, len ) =>
u = math.max(rsrc – rsrc, 0)
d = math.max(rsrc – rsrc, 0)
rs = ta.rma(u, len ) / ta.rma(d, len )
res = 100 – 100 / (1 + rs )
res
pine_rma(rsrc, length) =>
b = 1 / length
sum = 0.0
sum := na(sum) ? ta. sma (rsrc, length) : b * rsrc + (1 – b) * nz (sum)
u = math.max(rsrc – rsrc, 0)
d = math.max(rsrc – rsrc, 0)
b = 1 / len
ruh = b * math.max(high – close, 0) + (1 – b) * ta.rma(u, len )
rdh = (1 – b) * ta.rma(d, len )
rul = (1 – b) * ta.rma(u, len )
rdl = b * math.max(close – low, 0) + (1 – b) * ta.rma(d, len )
function( rsi , len ) =>
f = -math.pow(math.abs(math.abs( rsi – 50) – 50), 1 + math.pow( len / 14, 0.618) – 1) / math.pow(50, math.pow( len / 14, 0.618) – 1) + 50
rsiadvanced = if rsi > 50
f + 50
else
-f + 50
rsiadvanced
rsiha = 100 – 100 / (1 + ruh / rdh )
rsila = 100 – 100 / (1 + rul / rdl )
rsia = ta. rsi (rsrc, len )
rsih = if ad
function(rsiha, len )
else
rsiha
rsil = if ad
function(rsila, len )
else
rsila
// rsi bought & sold zone
plot_bands = true
reb = hline(plot_bands ? 70 : na, ‘Extreme Bought’, color.new(#b2b5be, 50), linewidth=4, linestyle=hline.style_solid)
rmb = hline(plot_bands ? 50 : na, ‘Middle Line’, color.new(#fbc02d, 80), linewidth=4, linestyle=hline.style_solid)
res = hline(plot_bands ? 30 : na, ‘Extreme Sold’, color.new(#b2b5be, 50), linewidth=4, linestyle=hline.style_solid)
// candle
plotcandle(rsi, rsih, rsil, rsi , ‘RSI_Candle’, color=ta.change( rsi ) > 0 ? #ffffff : #000000, wickcolor=#000000, bordercolor=#2a2e39)
plot( rsi , ‘RSI_Line’, color= ta.change( rsi ) > 0 ? color.black : color.black, display=display.none, linewidth=2)
// linear regression
// input
lrg = ‘Linear Regression’
linreg1 = input(true, ‘Longterm Linear Regression On / Off’, group=lrg)
periodTrend = input.int(100, ‘Longterm Linear Regression Period’, minval=4, group=lrg)
linreg2 = input(true, ‘Shorterm Linear Regression On / Off’, group=lrg)
periodTrend2 = input.int(25, ‘Shorterm Linear Regression Period’, minval=4, group=lrg)
deviationsAmnt = input.float(2, ‘Deviation’, minval=0.1, step=0.1, group=lrg)
estimatorType = input.string(‘Unbiased’, ‘Estimator’, options=, group=lrg)
var extendType = input.string(‘Right’, ‘Extend’, options=, group=lrg) == ‘Right’ ? extend.right : extend.none
// drawline configuration
drawLine(X1, Y1, X2, Y2, ExtendType, Color, LineStyle) =>
var line Line = na
Line := linreg1 ? line.new(X1, Y1, X2, Y2, xloc.bar_index, ExtendType, Color, LineStyle, width=2) : na
line.delete(Line)
drawLine2(X1, Y1, X2, Y2, ExtendType, Color, LineStyle) =>
var line Line = na
Line := linreg2 ? line.new(X1, Y1, X2, Y2, xloc.bar_index, ExtendType, Color, LineStyle, width=2) : na
line.delete(Line)
rsdcr2(PeriodMinusOne, Deviations, Estimate) =>
var period = PeriodMinusOne + 1
var devDenominator = Estimate == ‘Unbiased’ ? PeriodMinusOne : period
Ex = 0.0
Ex2 = 0.0
Exy = 0.0
Ey = 0.0
for i = 0 to PeriodMinusOne by 1
closeI = nz (rsi)
Ex := Ex + i
Ex2 := Ex2 + i * i
Exy := Exy + closeI * i
Ey := Ey + closeI
Ey
ExEx = Ex * Ex
slope = Ex2 == ExEx ? 0.0 : (period * Exy – Ex * Ey) / (period * Ex2 – ExEx)
linearRegression = (Ey – slope * Ex) / period
intercept = linearRegression + bar_index * slope
deviation = 0.0
for i = 0 to PeriodMinusOne by 1
deviation := deviation + math.pow( nz (rsi) – (intercept – bar_index * slope), 2.0)
deviation
deviation := Deviations * math.sqrt(deviation / devDenominator)
correlate = ta.correlation( rsi , bar_index, period)
r2 = math.pow(correlate, 2.0)
periodMinusOne = periodTrend – 1
= rsdcr2(periodMinusOne, deviationsAmnt, estimatorType)
endPointBar = bar_index – periodTrend + 1
endPointY = linReg + slope * periodMinusOne
endPointBar2 = bar_index – periodTrend2 + 1
// drawline plot
drawLine(endPointBar, endPointY + deviation, bar_index, linReg + deviation, extendType, #e91e63, line.style_solid)
drawLine(endPointBar, endPointY, bar_index, linReg, extendType, #e91e63, line.style_dotted)
drawLine(endPointBar, endPointY – deviation, bar_index, linReg – deviation, extendType, #e91e63, line.style_solid)
drawLine2(endPointBar2, endPointY + deviation, bar_index, linReg + deviation, extendType, color.blue, line.style_solid)
drawLine2(endPointBar2, endPointY, bar_index, linReg, extendType, color.blue, line.style_dotted)
drawLine2(endPointBar2, endPointY – deviation, bar_index, linReg – deviation, extendType, color.blue, line.style_solid)
// trendline
// input
trlg = ‘Trend Lines’
o = rsi
h = rsih
l = rsil
c = rsi
log_chart = input(true, title=’Use Log Chart’, group=trlg)
a_Color_Type = input.string(defval=’Monochrome’, title=’Use Trendlines Color Scheme’, options=, group=trlg)
a_Show_Primary = input(true, title=’Primary Trendlines On / Off’, group=trlg)
a_len = input(30, title=’Primary Lookback Length’, group=trlg)
a_Extensions = input.string(title=’Primary Trendlines Extensions’, defval=’ 50′, options=, group=trlg)
a_width = input.int(2, title=’Primary Line Width’, minval=0, maxval=10, group=trlg)
a_Show_Breaks = ‘n/a’
a_trendline_nr = 0
a_Rising_Upper_Falling_Lower = false
b_Show_Secondary = input(true, title=’Secondary Trendlines On / Off’, group=trlg)
b_len = input(15, title=’Secondary Lookback Length’, group=trlg)
b_Extensions = input.string(title=’Secondary Trendlines Extensions’, defval=’ 25′, options=, group=trlg)
b_width = input.int(1, title=’Secondary Line Width’, minval=0, maxval=10, group=trlg)
b_Show_Breaks = ‘n/a’
b_trendline_nr = 0
b_Rising_Upper_Falling_Lower = false
a_bar_time = time – time
b_bar_time = time – time
//primary trendline
// trendline extension
a_Extension_Multiplier=
a_Extensions==” 25″? 1 :
a_Extensions==” 50″? 2 :
a_Extensions==” 75″? 3 :
a_Extensions==” 100″? 4 :
a_Extensions==” 150″? 6 :
a_Extensions==” 200″? 8 :
a_Extensions==” 300″? 12 :
a_Extensions==” 400″? 16 :
a_Extensions==” 500″? 20 :
a_Extensions==” 750″? 30 :
a_Extensions==”1000″? 40 :
a_Extensions==”Infinate”? 0 : na
// trendline function
a_f_trendline(a__input_function, a__delay, a__only_up, a__extend) =>
var int a_Ax = 1
var int a_Bx = 1
var float a_By = 0
var float a_slope = 0
a_Ay = fixnan(a__input_function)
if ta.change(a_Ay) != 0
a_Ax := time
a_By := a_Ay
a_Bx := a_Ax
a_slope := log_chart ? (math.log(a_Ay) – math.log(a_By)) / (a_Ax – a_Bx) : (a_Ay – a_By) / (a_Ax – a_Bx)
a_slope
else
a_Ax := a_Ax
a_Bx := a_Bx
a_By := a_By
a_By
// draw trendline
var line a_trendline = na
var int a_Axbis = 0
var float a_Aybis = 0
var bool a__xtend = true
a_extension_time = a_Extension_Multiplier * a_bar_time * 25
a_Axbis := a_Ax + a_extension_time
a_Aybis := log_chart ? a_Ay * math. exp (a_extension_time * a_slope) : a_Ay + a_extension_time * a_slope
if a_Extension_Multiplier != 0
a__xtend := false
a__xtend
if ta.change(a_Ay) != 0
a_line_color_Rising_Falling = a_slope * time < 0 ? a__only_up ? a_Rising_Upper_Falling_Lower ? a_Color_Type == ‘Colored’ ? color.gray : color.teal : na : a_Color_Type == ‘Colored’ ? #cf0a83 : color.teal : a__only_up ? a_Color_Type == ‘Colored’ ? #027521 : color.teal : a_Rising_Upper_Falling_Lower ? a_Color_Type == ‘Colored’ ? color.gray : color.teal : na
a_line_color_Not_Rising_Falling = a_slope * time < 0 ? a__only_up ? na : a_Color_Type == ‘Colored’ ? #cf0a83 : color.teal : a__only_up ? a_Color_Type == ‘Colored’ ? #027521 : color.teal : na
a_line_color = a_Show_Primary and not a_Rising_Upper_Falling_Lower ? a_line_color_Not_Rising_Falling : a_Show_Primary and a_Rising_Upper_Falling_Lower ? a_line_color_Rising_Falling : na
if not na(a_line_color)
a_trendline = line.new(a_Bx, a_By, a_Axbis, a_Aybis, xloc.bar_time, extend=a__xtend ? extend.right : extend.none, color=a_line_color, style=line.style_solid, width=a_width)
a_trendline
// calc pivot points
a_high_point = ta.pivothigh(c > o ? c : o, a_len, a_len / 2)
a_low_point = ta.pivotlow(c > o ? o : c, a_len, a_len / 2)
// call trendline function
= a_f_trendline(a_high_point, a_len / 2, false, true)
= a_f_trendline(a_low_point, a_len / 2, true, true)
// secondary trendline
// trendline extension
b_Extension_Multiplier=
b_Extensions==” 25″? 1 :
b_Extensions==” 50″? 2 :
b_Extensions==” 75″? 3 :
b_Extensions==” 100″? 4 :
b_Extensions==” 150″? 6 :
b_Extensions==” 200″? 8 :
b_Extensions==” 300″? 12 :
b_Extensions==” 400″? 16 :
b_Extensions==” 500″? 20 :
b_Extensions==” 750″? 30 :
b_Extensions==”1000″? 40 :
b_Extensions==”Infinate”? 0 : na
// trendline function
b_f_trendline(b__input_function, b__delay, b__only_up, b__extend) =>
var int b_Ax = 1
var int b_Bx = 1
var float b_By = 0
var float b_slope = 0
b_Ay = fixnan(b__input_function)
if ta.change(b_Ay) != 0
b_Ax := time
b_By := b_Ay
b_Bx := b_Ax
b_slope := log_chart ? (math.log(b_Ay) – math.log(b_By)) / (b_Ax – b_Bx) : (b_Ay – b_By) / (b_Ax – b_Bx)
b_slope
else
b_Ax := b_Ax
b_Bx := b_Bx
b_By := b_By
b_By
// draw trendlines
var line b_trendline = na
var int b_Axbis = 0
var float b_Aybis = 0
var bool b__xtend = true
b_extension_time = b_Extension_Multiplier * b_bar_time * 25
b_Axbis := b_Ax + b_extension_time
b_Aybis := log_chart ? b_Ay * math. exp (b_extension_time * b_slope) : b_Ay + b_extension_time * b_slope
if b_Extension_Multiplier != 0
b__xtend := false
b__xtend
if ta.change(b_Ay) != 0
b_line_color_Rising_Falling = b_slope * time < 0 ? b__only_up ? b_Rising_Upper_Falling_Lower ? a_Color_Type == ‘Colored’ ? color.gray : color.teal : na : a_Color_Type == ‘Colored’ ? color.red : color.teal : b__only_up ? a_Color_Type == ‘Colored’ ? color.green : color.teal : b_Rising_Upper_Falling_Lower ? a_Color_Type == ‘Colored’ ? color.gray : color.teal : na
b_line_color_Not_Rising_Falling = b_slope * time < 0 ? b__only_up ? na : a_Color_Type == ‘Colored’ ? color.red : color.teal : b__only_up ? a_Color_Type == ‘Colored’ ? color.green : color.teal : na
b_line_color = b_Show_Secondary and not b_Rising_Upper_Falling_Lower ? b_line_color_Not_Rising_Falling : b_Show_Secondary and b_Rising_Upper_Falling_Lower ? b_line_color_Rising_Falling : na
if not na(b_line_color)
b_trendline = line.new(b_Bx, b_By, b_Axbis, b_Aybis, xloc.bar_time, extend=b__xtend ? extend.right : extend.none, color=b_line_color, style=line.style_dashed, width=b_width)
b_trendline
// calc pivot points
b_high_point = ta.pivothigh(c > o ? c : o, b_len, b_len / 2)
b_low_point = ta.pivotlow(c > o ? o : c, b_len, b_len / 2)
// call trendline function
= b_f_trendline(b_high_point, b_len / 2, false, true)
= b_f_trendline(b_low_point, b_len / 2, true, true)
// plot
b_color_high = b_slope_high * time < 0 ? color.green : na
b_color_low = b_slope_low * time > 0 ? color.red : na
