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Kolay gelsin sayın yörük pine editöre eklediğimde

line b = line.new(x1, y1, x2, y2, xloc.bar_index, extend.right, color.**ua, width=line_thick)

44. satır: '*' karakterinde geçerli bir alternatif yok hatası veriyor.





// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © LucemAnb
// User Version

//@version=4
study("Trend", "Yörük", overlay=true)


source = input(close)
length = input(100, minval=1)
offset = input(0, minval=0)
dev = input(2.0, "Deviation")
smoothing = input(1, minval=1)
mtf_val = input("", "Resolution", input.resolution)
line_thick = input(4, "S&R Thickness", minval=1, maxval=4)
signals = input("Recent", "Signals Display", options=["Recent", "All"])
p = input("Lime", "Up Color", options=["Red", "Lime", "Orange", "Teal", "Yellow", "White", "Black"])
q = input("Red", "Down Color", options=["Red", "Lime", "Orange", "Teal", "Yellow", "White", "Black"])
goto = input(0, "End At Bar Index")

cc(x) => x=="Red"?color.red:x=="Lime"?color.lime:x=="Orang e "?color.orange:x=="Teal"?
color.teal:x=="Yellow"?color.yellow:x=="Black"?col or.black:color.white
data(x) => sma(security(syminfo.tickerid, mtf_val!="" ? mtf_val : timeframe.period, x), smoothing)

linreg = data(linreg(source, length, offset))
linreg_p = data(linreg(source, length, offset+1))


x = bar_index
slope = linreg - linreg_p
intercept = linreg - x*slope
deviationSum = 0.0
for i=0 to length-1
deviationSum:= deviationSum + pow(source[i]-(slope*(x-i)+intercept), 2)
deviation = sqrt(deviationSum/(length))
x1 = x-length
x2 = x
y1 = slope*(x-length)+intercept
y2 = linreg

updating = goto <= 0 or x < goto

if updating
line b = line.new(x1, y1, x2, y2, xloc.bar_index, extend.right, color.**ua, width=line_thick)
line.delete(b[1])
line dp = line.new(x1, deviation*dev + y1, x2, deviation*dev + y2, xloc.bar_index, extend.right, cc(q), width=line_thick)
line.delete(dp[1])
line dm = line.new(x1, -deviation*dev + y1, x2, -deviation*dev + y2, xloc.bar_index, extend.right, cc(p), width=line_thick)
line.delete(dm[1])

dm_current = -deviation*dev + y2
dp_current = deviation*dev + y2
buy = crossunder(close, dm_current)
sell = crossover(close, dp_current)
alertcondition(buy, "Buy Lin Reg", "Crossing On the Lower Regression Channel")
alertcondition(sell, "Sell Lin Reg", "Crossing On the Higher Regression Channel")

plotshape(buy, "BUY", shape.labelup, location.belowbar, color.lime, text='BUY', textcolor=color.black, show_last=signals=="All"?99999999:length)
plotshape(sell, "SELL", shape.labeldown, location.abovebar, color.red, text='SELL', textcolor=color.white, show_last=signals=="All"?99999999:length)

plot(x, "Bar Index", color.**ua, line_thick, plot.style_cross, display=display.non

[@yörük@]

sistem 4...

görsel ve kodda oynama yapılmıştır....istediğiniz gibi değiştirebilirsiniz.....

görüntüde fiyat hareketleri yani mumlar siyahla gizlenmiştir......

trend ise en çok kullanılan ortalamar.....standart devinasyon ve bolinger banda...
yavaşlatılmış sar eşlik etmekte..... ve sinyaller üretilmekte....

trend scriptinin kodu ise;

//@version=2
study("Trend",overlay=true)
activeSMA=input(true, title="activeSMA")

plot(activeSMA?sma(close,10):na,color=black,linewi dth=1,transp=0,title="10")
plot(activeSMA?sma(close,20):na,color=black,linewi dth=1,transp=0,title="20")
plot(activeSMA?sma(close,50):na,color=blue,linewid th=1,transp=75,title="50")
plot(activeSMA?sma(close,100):na,color=red,linewid th=1,transp=60,title="100")
plot(activeSMA?sma(close,120):na,color=blue,linewi dth=1,transp=30,title="120")
plot(activeSMA?sma(close,200):na,color=blue,linewi dth=2,transp=20,title="200")
plot(activeSMA?sma(close,400):na,color=blue,linewi dth=2,transp=20,title="400")

//@version=2

activeBB=input(false, title="activeBB")
source=input(close, title="BBSource")
length=input(20, title="BBLength")
mult=input(2.0, title="BBMultiply")

dev=stdev(source,length)*mult

base=sma(source,length)
upper=base+dev
lower=base-dev


u=plot(activeBB?upper:na,color = red, title="Upper Band")
plot(activeBB?base:na, color = black, title="Base Line")
l=plot(activeBB?lower:na, color = green, title="Lower Nabd")
fill(u,l, title="Bollinger Band")


activeSAR=input(true, title="activePSAR")
start = input(title="Start", type=float, step=0.0001, defval=0.02)
increment = input(title="Increment", type=float, step=0.001, defval=0.02)
maximum = input(title="Maximum", type=float, step=0.01, defval=0.2)
width = input(title="Point Width", type=integer, minval=1, defval=2)
highlightStartPoints = input(title="Highlight Start Points ?", defval=true)

psar = sar(start, increment, maximum)
dir = psar < close ? 1 : -1

psarColor = psar < close ? #3388bb : #fdcc02
plot(activeSAR?psar:na, title="ST", style=circles, linewidth=width, color=psarColor, transp=0)

plotshape(dir == 1 and dir[1] == -1 and highlightStartPoints ? psar : na, title="Long Stop Start", location=location.absolute, style=shape.circle, size=size.small, color=green, transp=0)
plotshape(dir == -1 and dir[1] == 1 and highlightStartPoints ? psar : na, title="Short Stop Start", location=location.absolute, style=shape.circle, size=size.small, color=red, transp=0)

changeCond = dir != dir[1]
alertcondition(changeCond, title="Alert on Parabolic SAR Direction Change", message="Parabolic SAR has changed direction!")

// len=input(defval=20,minval=1)
// p=close
// sma=sma(p,len)
// avg=atr(len)
// fibratio1=input(defval=1.618,title="Fibonacci Ratio 1")
// fibratio2=input(defval=2.618,title="Fibonacci Ratio 2")
// fibratio3=input(defval=4.236,title="Fibonacci Ratio 3")
// r1=avg*fibratio1
// r2=avg*fibratio2
// r3=avg*fibratio3
// top3=sma+r3
// top2=sma+r2
// top1=sma+r1
// bott1=sma-r1
// bott2=sma-r2
// bott3=sma-r3

// t3=plot(top3,transp=0,title="Upper 3",color=teal)
// t2=plot(top2,transp=20,title="Upper 2",color=teal)
// t1=plot(top1,transp=40,title="Upper 1",color=teal)
// b1=plot(bott1,transp=40,title="Lower 1",color=teal)
// b2=plot(bott2,transp=20,title="Lower 2",color=teal)
// b3=plot(bott3,transp=0,title="Lower 3",color=teal)
// fill(t3,b3,color=navy,transp=85)


kyda ise sadece ohlc değerlerini alan ve bunları indikaör gibi kullanıp...
yine bulunduğu aynı bara olası.....ohlc değerleri hesaplatıyor....
yani bulunan barda gerçekleşen değer ile olası ohlc değerleri aynı anda oluşuyor...

kyda script kodu ise;

//@version=4
study("KYDA" , overlay = true)

src = close

o = open
h = high
l = low
c = close

_indicator1 = ((o - o[1] ) / (o[1]))
_indicator2 = ((h - h[1] ) / (h[1]))
_indicator3 = ((l - l[1] ) / (l[1]))
_indicator4 = ((c - c[1] ) / (c[1]))
_indicator5 = (src - src[1]) / src[1]

// Inputs on Tangent Function :

tangentdiff(_src) => nz((_src - _src[1]) / _src[1] )


// Deep Learning Activation Function (Tanh) :

ActivationFunctionTanh(v) => (1 - exp(-2 * v))/( 1 + exp(-2 * v))


// DEEP LEARNING

// INPUTS :

input_1 = (_indicator1)
input_2 = (_indicator2)
input_3 = (_indicator3)
input_4 = (_indicator4)


// LAYERS :

// Input Layers

n_0 = ActivationFunctionTanh(input_1 + 0)
n_1 = ActivationFunctionTanh(input_2 + 0)
n_2 = ActivationFunctionTanh(input_3 + 0)
n_3 = ActivationFunctionTanh(input_4 + 0)


//


fun_open() =>

float _output = na

n_4 = ActivationFunctionTanh(0.030535 * n_0 + 5.113012 * n_1 + -26.085717 * n_2 + -5.320280 * n_3 + 7.354752 )

n_5 = ActivationFunctionTanh(4.167948 * n_0 + 7.225875 * n_1 + -0.871215 * n_2 + -8.894535 * n_3 + -7.064751 )

n_6 = ActivationFunctionTanh(-0.806293 * n_0 + -0.304470 * n_1 + -3.909741 * n_2 + -5.009985 * n_3 + 5.127558 )

n_7 = ActivationFunctionTanh(-29.736063 * n_0 + 28.668433 * n_1 + 0.138417 * n_2 + -57.588543 * n_3 + 2.824914 )

n_8 = ActivationFunctionTanh(-0.429393 * n_0 + 0.482744 * n_1 + -0.789797 * n_2 + -2.987460 * n_3 + -4.310747 )

n_9 = ActivationFunctionTanh(1.758357 * n_0 + -0.618090 * n_1 + 2.449362 * n_2 + -1.583126 * n_3 + 1.165846 )

_output := ActivationFunctionTanh(-0.653030 * n_4 + -4.646999 * n_5 + -1.678999 * n_6 + -17.077652 * n_7 + 0.875426 * n_8 + -6.672465 * n_9 + 6.940722)


fun_high() =>

float _output = na

n_4 = ActivationFunctionTanh(10.186543 * n_0 + -30.964897 * n_1 + 21.672385 * n_2 + -40.895894 * n_3 + 7.957443 )

n_5 = ActivationFunctionTanh(-15.252332 * n_0 + 14.845403 * n_1 + 10.621491 * n_2 + -23.817824 * n_3 + 2.947530 )

n_6 = ActivationFunctionTanh(-15.179010 * n_0 + -30.011878 * n_1 + 35.650459 * n_2 + -61.480486 * n_3 + 3.898503 )

n_7 = ActivationFunctionTanh(35.656454 * n_0 + -11.134354 * n_1 + -28.071578 * n_2 + 2.923959 * n_3 + -1.805703 )

n_8 = ActivationFunctionTanh(3.462374 * n_0 + -13.644019 * n_1 + -30.226394 * n_2 + -1.083953 * n_3 + 23.032872 )

n_9 = ActivationFunctionTanh(-47.265829 * n_0 + 19.021801 * n_1 + 10.565216 * n_2 + -27.520789 * n_3 + 6.947500 )

_output := ActivationFunctionTanh(-0.696537 * n_4 + -1.349433 * n_5 + 27.262956 * n_6 + -1.042353 * n_7 + -0.540196 * n_8 + -10.735585 * n_9 + 1.303216)


fun_low() =>

float _output = na

n_4 = ActivationFunctionTanh(4.363108 * n_0 + -18.301472 * n_1 + -15.376884 * n_2 + 21.208559 * n_3 + -0.458119 )

n_5 = ActivationFunctionTanh(-2.651826 * n_0 + 5.205410 * n_1 + -5.920993 * n_2 + -4.847458 * n_3 + 8.315580 )

n_6 = ActivationFunctionTanh(13.885322 * n_0 + -5.517922 * n_1 + -15.241118 * n_2 + -8.673229 * n_3 + -4.954015 )

n_7 = ActivationFunctionTanh(10.490466 * n_0 + -25.201536 * n_1 + 10.262121 * n_2 + -1.116144 * n_3 + -5.254103 )

n_8 = ActivationFunctionTanh(-14.687736 * n_0 + 9.030202 * n_1 + -17.332462 * n_2 + 8.068070 * n_3 + 0.755134 )

n_9 = ActivationFunctionTanh( 0.895168 * n_0 + -1.737740 * n_1 + 4.899143 * n_2 + -7.718495 * n_3 + 5.493688 )

_output := ActivationFunctionTanh(4.132907 * n_4 + -17.501595 * n_5 + 4.617443 * n_6 + -28.476857 * n_7 + -5.888234 * n_8 + -24.434500 * n_9 + 41.318760)


fun_close() =>

float _output = na

n_4 = ActivationFunctionTanh(22.427157 * n_0 + -26.691701 * n_1 + 4.937141 * n_2 + 9.034960 * n_3 + -10.692978 )

n_5 = ActivationFunctionTanh(-38.288087 * n_0 + 10.050028 * n_1 + -44.706345 * n_2 + -17.816354 * n_3 + 30.566226 )

n_6 = ActivationFunctionTanh(-33.995444 * n_0 + 14.501766 * n_1 + -43.286508 * n_2 + -13.387415 * n_3 + 24.708075 )

n_7 = ActivationFunctionTanh(-14.392948 * n_0 + 28.483095 * n_1 + -22.979338 * n_2 + -7.658263 * n_3 + -5.650564 )

n_8 = ActivationFunctionTanh(28.837901 * n_0 + -26.354494 * n_1 + 0.520683 * n_2 + 25.004913 * n_3 + -17.883236 )

n_9 = ActivationFunctionTanh(-4.811354 * n_0 + -4.036420 * n_1 + -8.332775 * n_2 + -1.157164 * n_3 + 0.466793 )

_output := ActivationFunctionTanh(-22.053311 * n_4 + 3.652552 * n_5 + -4.390465 * n_6 + 2.103060 * n_7 + 20.027285 * n_8 + 11.510129 * n_9 + -0.415015)


// Current Open Values

_chg_open = tangentdiff(o) * 100

_seed_open = (fun_open() - _chg_open) / 100

f_open = o * (1 - _seed_open)

// Current High Values

_chg_high = tangentdiff(h) * 100

_seed_high = (fun_high() - _chg_high) / 100

f_high = h * (1 - _seed_high)

// Current Low Values

_chg_low = tangentdiff(l) * 100

_seed_low = (fun_low() - _chg_low) / 100

f_low = l * (1 - _seed_low)

// Current Close Values

_chg_c = tangentdiff(c) * 100

_seed_c = (fun_close() - _chg_c) / 100

f_close= c * (1 - _seed_c)


plotcandle(f_close,f_high,f_low,f_open,color=f_clo se>f_close[1]?color.teal:color.maroon,wickcolor=#5d606b )

[oyunagelenadam]

sistemlerin back testini yapabildiniz mi sayın yörük.!!

[@yörük@]

sistem 5....


fibo....donkan kanalları, atr kullanılıyor.... amaç sonraki barın olasılığını ve trendin yönünü hesaplatmak....

sonda oluşan iki kalın çizgi kanal aralığı....
önündeki oluşan yuvarlak rengine göre trendin gücünü ve yönünü.....
oluşan artı işareti ise hedefi belirtiyor......

görseli ve kodu istediğiniz kadar değiştirebilirsiniz....

script kodu ise;


//@version=3
study("Donchian Fibonacci Zones with Trading Features", shorttitle="Fibo", overlay=true)
//INPUTS
per=input(20, type=integer, minval=15, maxval=60)
preunit=input('atr', title="prediction in atr or percent", options=['atr', 'percent'])
preamount=input(1, title="added amount of prediction", type=float, minval=0, maxval=6)

//CHANNEL
hb= highest(high,per) //High Border
lb = lowest(low,per) //Low Border
dist = hb-lb //range of the channel
med = (hb+lb)/2 //median of the channel

hf = hb-dist*0.236 //Highest Fib
chf = hb-dist*0.382 //Center High Fib
clf = hb-dist*0.618 //Center Low Fib
lf = hb-dist*0.764 //Lowest Fib

//PULL BACK LEVELS
//initialise mutatables
leh=hb
lel=lb
hbtrue=true

evpup = high>hb[1] //push up event
evhbstart = hb[3]==hb[2] and hb[2]==hb[1] and evpup //horizontal then up, part of evhb calculation
evpdown = low<lb[1] //push down event
evlbstart = lb[3]==lb[2] and lb[2]==lb[1] and evpdown //horizontal then down, part of evlb calculation

//two levels will be merged in the plot
evhb = evhbstart or high[1] == hb //event with high border
leh := evhb? hf :leh[1] //level high mutatable set to highest fib on event or kept on value
evlb = evlbstart or low[1] == lb //event with low border
lel := evlb? lf :lel[1] //level low mutatable set to lowest fib on event or kept on value
hbtrue := evhb?true :evlb?false :hbtrue[1] //last event mutatable

//ENTRY MARKERS
tol=atr(per)*0.2 //tolerance for placing triangles and prediction candles at borders
//initialise mutatables
hftrue = true
lftrue = true
cftrue = true
evupin = crossover(close, hf) //market enters up trend
evupout = crossunder(close, hf) //market leaves up trend
hftrue := evupin? true :evupout? false :hftrue[1] //mutatable true if in up trend
evdownin = crossunder(close, lf) //market enters down trend
evdownout = crossover(close, lf) //market leaves down trend
lftrue := evdownin? true :evdownout? false :lftrue[1] //mutatable true if in down trend
cftrue := not hftrue and not lftrue? true : false //mutatable true if instrument is ranging

//IDENTIFY LAST BAR
last= barstate.islast
last:= barstate.isrealtime and isintraday? not barstate.isconfirmed :barstate.islast
//barstate.islast works also when all bars are confirmed and are history. However in real time and intradaycharts bars never lose this state.
//In that situation 'not barstate.isconfirmed' (like not ishistory) is the better alternative. if you use intraday charts after closing time of
//the markets "barstate.isrealtime and isintraday" will be false and the script will use barstate.islast.

//SITUATION
hbdtrue = last and hftrue //up trend
lbdtrue = last and lftrue //down trend
chfdtrue = last and cftrue and hbtrue //high ranging
clfdtrue = last and cftrue and not hbtrue //low ranging

//expected levels
schigh = hb
schigh := hbdtrue? hb :lbdtrue? lf :chfdtrue? hf :clfdtrue? chf :na //situation candle high
sclow = lb
sclow := hbdtrue? hf :lbdtrue? lb :chfdtrue? clf :clfdtrue? lf :na //situation candle low

//prediction levels
pred= preunit=='atr'? preamount*atr(per) reunit=='percent'? preamount*close/100 :0
prcahigh = med
prcahigh := hbdtrue and (evpup or evpup[1])? hb+pred :na //prediction level higher than high border
prcalow = med
prcalow := lbdtrue and (evpdown or evpdown[1])? lb-pred :na //prediction level lower than low border

//HULL MOVING AVERAGE
hma = wma((2 * wma(close, per / 2)) - wma(close, per), round(sqrt(per)))


//PLOTTINGS
//plot channel and fibzones
phb=plot(hbdtrue? na :hb, title="high border", color=black)
phf = plot(hbdtrue or chfdtrue? na :hf, title="highest fib", color=gray, transp=80)
pchf = plot(last? na :chf, title="centhi fib", color=gray, transp=80)
pclf = plot(last? na :clf, title="centlo fib", color=gray, transp=80)
plf = plot(lbdtrue or clfdtrue? na :lf, title= "lowest fib", color= gray, transp= 80)
plb = plot(lbdtrue? na :lb, title="low border", color=black)

fill(phb,phf, color= hftrue? #00FFFF70 :#00FFFF10, title="up trend zone") //up trend zone, blue or transparant blue
fill(pchf,pclf, color= cftrue?#40404060 :#40404010, title="ranging zone") // ranging zone, dark gray or light gray
fill(plf,plb, color= lftrue? #FF800099 :#FF800010, title="down trend zone") //down trend zone, orange or transparant orange

//plot pull back levels
plot(last? na :hbtrue?leh:lel, title="Swing", color= hbtrue?#0000ff99:#ff000099, linewidth=2, style=line) //levels blue purple

//plot entry markers
plotshape(evupin?hb+tol :na, style=shape.triangleup, location=location.absolute, color=blue, size=size.tiny)
plotshape(evupout?hb+tol :na, style=shape.xcross, location=location.absolute, color=gray, size=size.tiny)
plotshape(evdownin?lb-tol :na, style=shape.triangledown, location=location.absolute, color=red, size=size.tiny)
plotshape(evdownout?lb-tol :na, style=shape.xcross, location=location.absolute, color=gray, size=size.tiny)

//plot future circle markers
plotshape(hbdtrue?hb:na, style=shape.circle, location=location.absolute, color=blue, offset=1, size=size.tiny)
plotshape(lbdtrue?lb:na, style=shape.circle, location=location.absolute, color=red, offset=1, size=size.tiny)
plotshape(chfdtrue?chf:na, style=shape.circle, location=location.absolute, color=green, offset=1, size=size.tiny)
plotshape(clfdtrue?clf:na, style=shape.circle, location=location.absolute, color=maroon, offset=1, size=size.tiny)

//plot expected range levels
plot(schigh, linewidth = 5, title=" expect", color=teal, offset=3)
plot(sclow, linewidth = 5, title=" expect", color=teal, offset=3)

//plot prediction levels
plot(last and (evpup or evpup[1]) and preamount>0?prcahigh :na, style=cross, title=" predict", linewidth = 5, color = blue, offset=3)
plot(last and (evpdown or evpdown[1]) and preamount>0?prcalow :na, style=cross, title=" predict", linewidth = 5, color = red, offset=3)

//plot predictionmarkers
plotshape(hbdtrue and (evpup or evpup[1])? hb+tol :na, style=shape.diamond, location=location.absolute, color=blue, size=size.tiny, offset=3)
plotshape(lbdtrue and (evpdown or evpdown[1])? lb-tol :na, style=shape.diamond, location=location.absolute, color=red, size=size.tiny, offset=3)

//plot Hull moving average
plot(last? na :hma, title="Hull ma", linewidth=1, color=navy)

[@yörük@]

velhasıl... tekniğin sonu yok....altın formül yok..... amerikayı yeniden keşfetmeye gerek yok.....

sıfırdan kod yazmaya gerek yok.... açık kaynak kodların espirisi.....

üzerlerinde oynama yapılabilmesidir....... yazan kişi örneğin atryi 20 hesaplatmıştır.....
ama siz periyodu düşük kullanacağınız için hızlandırmak isterseniz değeri 10a çevirirsiniz....

psarı bilinen değeri ile kullanılmıştır ama siz düşük periyotta onu stop olarak kullanmak isteyince 0.001 gibi yavaşlatırsınız....


sürekli deneyimlemeler sonucu....birinde karar kılabiliriz....

tek ekrana indikatörleri ekler....görselleri sadeleştirebiliriz....

ekranı dörde böler....farklı sistemler kurarak...birbirlerinin teyitlerine bakabiliriz....


Hülasa, nasibimizi.... temel teknikle ararız...... nasib olanı ya kazanırız ya da kaybederiz.....

ama temel-teknik kullanmaya çalıştığımız için.....yalnızca kendimizi suçlar.....kendimizi geliştirmeye çalışırız....

bence insan başkasını suçladığı sürece kendini geliştirmeye kapamış olur.....


burda yazılanların amacı.....
tekniğe ilgi çekmek.....tekniksiz kalmamak adınadır.....

[@yörük@]

son olarak uzun süredir.....kullandığım basit sistemim ise....

üç psardan oluşmaktadır......psarların uzunluğu 100, sapması 1.9 dur.....

sadece psarların hesaplama değerlerinde oynama yaparak.....kısa-orta-uzun vade gibi periyotlarada kullanılmıştır...
mtf anlamında değildir......

psaradı başlangıç artım maksimum
kısa vade için 0 0.1 0.2
orta vade için 0 0.01 0.2
uzun vade için 0 0.001 0.2

selamlar...........nasibleriniz bol olması dileğiyle................tekniğe inanmayın.........tekniksiz kalmayın........

[obblomovv]

Kolay gelsin sayın yörük pine editöre eklediğimde

line b = line.new(x1, y1, x2, y2, xloc.bar_index, extend.right, color.**ua, width=line_thick)

44. satır: '*' karakterinde geçerli bir alternatif yok hatası veriyor.





// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © LucemAnb
// User Version

//@version=4
study("Trend", "Yörük", overlay=true)


source = input(close)
length = input(100, minval=1)
offset = input(0, minval=0)
dev = input(2.0, "Deviation")
smoothing = input(1, minval=1)
mtf_val = input("", "Resolution", input.resolution)
line_thick = input(4, "S&R Thickness", minval=1, maxval=4)
signals = input("Recent", "Signals Display", options=["Recent", "All"])
p = input("Lime", "Up Color", options=["Red", "Lime", "Orange", "Teal", "Yellow", "White", "Black"])
q = input("Red", "Down Color", options=["Red", "Lime", "Orange", "Teal", "Yellow", "White", "Black"])
goto = input(0, "End At Bar Index")

cc(x) => x=="Red"?color.red:x=="Lime"?color.lime:x=="Orang e "?color.orange:x=="Teal"?
color.teal:x=="Yellow"?color.yellow:x=="Black"?col or.black:color.white
data(x) => sma(security(syminfo.tickerid, mtf_val!="" ? mtf_val : timeframe.period, x), smoothing)

linreg = data(linreg(source, length, offset))
linreg_p = data(linreg(source, length, offset+1))


x = bar_index
slope = linreg - linreg_p
intercept = linreg - x*slope
deviationSum = 0.0
for i=0 to length-1
deviationSum:= deviationSum + pow(source[i]-(slope*(x-i)+intercept), 2)
deviation = sqrt(deviationSum/(length))
x1 = x-length
x2 = x
y1 = slope*(x-length)+intercept
y2 = linreg

updating = goto <= 0 or x < goto

if updating
line b = line.new(x1, y1, x2, y2, xloc.bar_index, extend.right, color.**ua, width=line_thick)
line.delete(b[1])
line dp = line.new(x1, deviation*dev + y1, x2, deviation*dev + y2, xloc.bar_index, extend.right, cc(q), width=line_thick)
line.delete(dp[1])
line dm = line.new(x1, -deviation*dev + y1, x2, -deviation*dev + y2, xloc.bar_index, extend.right, cc(p), width=line_thick)
line.delete(dm[1])

dm_current = -deviation*dev + y2
dp_current = deviation*dev + y2
buy = crossunder(close, dm_current)
sell = crossover(close, dp_current)
alertcondition(buy, "Buy Lin Reg", "Crossing On the Lower Regression Channel")
alertcondition(sell, "Sell Lin Reg", "Crossing On the Higher Regression Channel")

plotshape(buy, "BUY", shape.labelup, location.belowbar, color.lime, text='BUY', textcolor=color.black, show_last=signals=="All"?99999999:length)
plotshape(sell, "SELL", shape.labeldown, location.abovebar, color.red, text='SELL', textcolor=color.white, show_last=signals=="All"?99999999:length)

plot(x, "Bar Index", color.**ua, line_thick, plot.style_cross, display=display.non

Elinize, emeğinize sağlık sayın @yörük@.


Yukarıdaki arkadaşa cevap verirken size de hatırlatmış olayım.
Daha önce tecrübe ettiğim için biliyorum:

Bir renk olan,

"fuchsia"

forum yazılımı tarafından "küfür" olarak algılandığından ** ile manipüle ediliyor.

Değerli kod paylaşımlarınızı gönderirken "gelişmiş özellikler" i tıklayarak,
#' i seçerek kod parantezi arasına yazarsanız hayat okuyucularınız için de daha kolay olur.

Sağlık, mutluluk, başarı dileklerimle.

[@yörük@]

teşekkürler.. obblomovv...
selamlar...