Modificación de codigo

This topic has 4 replies, 3 voices, and was last updated 1 month ago by larouedegann.

Viewing 5 posts - 1 through 5 (of 5 total)

12/23/2024 at 9:42 AM #241722

Amanav

Buenos días,

Tengo este código Mensual en grafico de 15 minutos y necesito resolver dos cosas:

1-no consigo que me coja como inicio horario las 01:00

2- como saco la variable de volatilidad = 4 fuera del codigo como un parametro que pueda modificar??

// Variables de configuración
OpeningHour = 010010 // Hora de apertura SI AQUI PONGO 010000 SE VA AL MES DE OCTUBRE EN LUGAR DE DICIEMBRE
volatilidad = 4
startDayOfMonth = 2 // Día del mes para empezar a dibujar la línea de apertura, ESTO LOTENGO ASÍ POR SI EL MES INICIA EN DIA FESTIVO
openDayOfMonth = 2 // Día del mes para dibujar la línea de apertura

TargetPercentage1 = 0.50 // Porcentaje objetivo 1
TargetPercentage2 = -0.50 // Porcentaje objetivo 2
TargetPercentage3 = 1 // Porcentaje objetivo 3
TargetPercentage4 = -1 // Porcentaje objetivo 4

AdjustedTargetPercentage1 = TargetPercentage1 * volatilidad
AdjustedTargetPercentage2 = TargetPercentage2 * volatilidad
AdjustedTargetPercentage3 = TargetPercentage3 * volatilidad
AdjustedTargetPercentage4 = TargetPercentage4 * volatilidad

// Variables internas
// Definir dayofmonth correctamente para obtener el día del mes
dayofmonth = day
isFirstTradingDay = 0

// Verificar el primer día hábil del mes a partir del día especificado

IF dayofmonth = openDayOfMonth AND opentime >= OpeningHour AND opentime[1] < OpeningHour THEN
LastMonthlyOpen = MonthlyOpen
LastMonthlyIdx = MonthlyIdx
LastTargetLevel1 = TargetLevel1
LastTargetLevel2 = TargetLevel2
LastTargetLevel3 = TargetLevel3
LastTargetLevel4 = TargetLevel4

MonthlyOpen = Open // Guardar el precio de apertura semanal
MonthlyIdx = barindex
TargetLevel1 = MonthlyOpen + (MonthlyOpen * AdjustedTargetPercentage1 / 100) // Calcular el nivel objetivo 1
TargetLevel2 = MonthlyOpen + (MonthlyOpen * AdjustedTargetPercentage2 / 100) // Calcular el nivel objetivo 2
TargetLevel3 = MonthlyOpen + (MonthlyOpen * AdjustedTargetPercentage3 / 100) // Calcular el nivel objetivo 3
TargetLevel4 = MonthlyOpen + (MonthlyOpen * AdjustedTargetPercentage4 / 100) // Calcular el nivel objetivo 4

ENDIF

// Dibujar la línea del precio de apertura semanal en color naranja
DRAWSEGMENT(LastMonthlyIdx, LastMonthlyOpen, MonthlyIdx, LastMonthlyOpen) COLOURED(127, 255, 0) style(dottedline)

// Dibujar las líneas de los niveles objetivos
DRAWSEGMENT(LastMonthlyIdx, LastTargetLevel1, MonthlyIdx, LastTargetLevel1) COLOURED(255, 165, 0) style(dottedline)
DRAWSEGMENT(LastMonthlyIdx, LastTargetLevel2, MonthlyIdx, LastTargetLevel2) COLOURED(255, 165, 0) style(dottedline)
DRAWSEGMENT(LastMonthlyIdx, LastTargetLevel3, MonthlyIdx, LastTargetLevel3) COLOURED(255, 165, 0) style(dottedline)
DRAWSEGMENT(LastMonthlyIdx, LastTargetLevel4, MonthlyIdx, LastTargetLevel4) COLOURED(255, 165, 0) style(dottedline)

IF islastbarupdate THEN
// Dibujar la línea del precio de apertura semanal extendida en color naranja
DRAWSEGMENT(MonthlyIdx, MonthlyOpen, barindex + 10, MonthlyOpen) COLOURED(127, 255, 0) style(line)

// Dibujar las líneas de los niveles objetivos extendidas
DRAWSEGMENT(MonthlyIdx, TargetLevel1, barindex + 10, TargetLevel1) COLOURED(255, 165, 0) style(line)
DRAWSEGMENT(MonthlyIdx, TargetLevel2, barindex + 10, TargetLevel2) COLOURED(255, 165, 0) style(line)
DRAWSEGMENT(MonthlyIdx, TargetLevel3, barindex + 10, TargetLevel3) COLOURED(255, 165, 0) style(line)
DRAWSEGMENT(MonthlyIdx, TargetLevel4, barindex + 10, TargetLevel4) COLOURED(255, 165, 0) style(line)

ENDIF

RETURN

Muchas Gracias y Felices fiestas

Amanav

Participant

Topics: 4

Replies: 7

Been thanked: 0 times

12/23/2024 at 11:14 AM #241726

Iván

Buenos días. Veo que ya habías generado un post relacionado con esto y te han contestado.

https://www.prorealcode.com/topic/dibujar-linea-de-apertura-y-dlinea-a-un-porcentaje-objetivo/

Iván

Moderator

Topics: 0

Replies: 1229

Been thanked: 442 times

12/23/2024 at 11:28 AM #241727

Amanav

Disculpa es que lo había colocado en un sitio incorrecto.

Y lo que me genera dudas, al ser un tema diferente, lo he puesto aquí.

Puedo continuar por aquí o lo hago en el otro sitio??

Gracias Iván.

Amanav

Participant

Topics: 4

Replies: 7

Been thanked: 0 times

12/23/2024 at 4:53 PM #241732

Iván

Como estamos hablando del mismo código y hay usuarios que ya han participado te recomiendo que sigas en el otro hilo.

1 user thanked author for this post.

Amanav

Iván

Moderator

Topics: 0

Replies: 1229

Been thanked: 442 times

12/31/2024 at 5:23 PM #242007

larouedegann

HOLA a todos,

publiqué en el sitio francés un codigo tradingwiew para transformarlo en prorealtime

” Momentum Bias Index”

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoAlpha

//@version=5
indicator(title="Momentum Bias Index [AlgoAlpha]", timeframe="", timeframe_gaps=false)
source = input(close, title="Source")
momentumLength = input.int(10, minval=1, title="Momentum Length")
biasLength = input.int(5, minval=1, title="Bias Length")
smoothLength = input.int(10, minval=1, title="Smooth Length")
impulseBoundaryLength = input.int(30, minval=1, title="Impulse Boundary Length")
stdDevMultiplier = input.float(3.0, minval=1, title="Standard Deviation Multiplier")
smoothIndicator = input.bool(true, "Smooth Indicator")
overlayMode = input.bool(false, "Overlay Mode")
colorUp = input.color(#00ffbb, "Up Color")
colorSecondaryUp = input.color(#008461, "Secondary Up Color")
colorDown = input.color(#ff1100, "Down Color")
colorSecondaryDown = input.color(#840900, "Secondary Down Color")

momentum = source - source[momentumLength]
stdDev = momentum / (ta.ema(high - low, momentumLength)) * 100
momentumUp = math.max(stdDev, 0)
momentumDown = math.min(stdDev, 0)
momentumUpBias = smoothIndicator ? math.max(ta.hma(math.sum(momentumUp, biasLength), smoothLength), 0) : math.sum(momentumUp, biasLength) 
momentumDownBias = smoothIndicator ? math.max(ta.hma(-math.sum(momentumDown, biasLength), smoothLength), 0) : -math.sum(momentumDown, biasLength) 
averageBias = math.avg(momentumDownBias, momentumUpBias)

chg1 = momentumUpBias*0.80
chg2 = momentumUpBias*0.60
chg3 = momentumUpBias*0.40
chg4 = momentumUpBias*0.20
chg1a = momentumDownBias*0.80
chg2a = momentumDownBias*0.60
chg3a = momentumDownBias*0.40
chg4a = momentumDownBias*0.20
boundary = ta.ema(averageBias, impulseBoundaryLength) + ta.stdev(averageBias, impulseBoundaryLength) * stdDevMultiplier

bullishSignal = ta.crossunder(momentumDownBias, momentumDownBias[1]) and momentumDownBias > boundary and momentumDownBias > momentumUpBias
bearishSignal = ta.crossunder(momentumUpBias, momentumUpBias[1]) and momentumUpBias > boundary and momentumUpBias > momentumDownBias

candleColor = overlayMode ? (momentumUpBias > momentumDownBias ? colorUp : momentumUpBias < momentumDownBias ? colorDown : color.gray) : na
transp = 20

plot(momentumUpBias > momentumUpBias[1] ? momentumUpBias : na, color = momentumUpBias > momentumUpBias[1] ? colorUp : colorSecondaryUp, style = plot.style_columns, display = not overlayMode ? display.all : display.none)
plot(momentumDownBias > momentumDownBias[1] ? momentumDownBias : na, color = momentumDownBias > momentumDownBias[1] ? colorDown : colorSecondaryDown, style = plot.style_columns, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? momentumUpBias : na, color = color.new(colorSecondaryUp, transp+60), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumUpBias < momentumUpBias[1] ? chg1 : na, color = color.new(colorSecondaryUp, transp+55), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumUpBias < momentumUpBias[1] ? chg2 : na, color = color.new(colorSecondaryUp, transp+45), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumUpBias < momentumUpBias[1] ? chg3 : na, color = color.new(colorSecondaryUp, transp+30), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumUpBias < momentumUpBias[1] ? chg4 : na, color = color.new(colorSecondaryUp, transp+25), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumUpBias < momentumUpBias[1] ? momentumUpBias : na, color = color.new(colorUp, transp), style = plot.style_linebr, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? momentumDownBias : na, color = color.new(colorSecondaryDown, transp+60), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumDownBias < momentumDownBias[1] ? chg1a : na, color = color.new(colorSecondaryDown, transp+55), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumDownBias < momentumDownBias[1] ? chg2a : na, color = color.new(colorSecondaryDown, transp+45), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumDownBias < momentumDownBias[1] ? chg3a : na, color = color.new(colorSecondaryDown, transp+30), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumDownBias < momentumDownBias[1] ? chg4a : na, color = color.new(colorSecondaryDown, transp+25), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)
plot(momentumDownBias < momentumDownBias[1] ? momentumDownBias : na, color = color.new(colorDown, transp), style = plot.style_linebr, display = not overlayMode ? display.all : display.none)

plot(boundary, style = plot.style_circles, color = color.gray, display = not overlayMode ? display.all : display.none)

plotshape(bullishSignal ? momentumDownBias * 1.2 : na, title = "Bullish TP Signal", color = color.new(colorUp, 30), textcolor = color.rgb(255, 255, 255), text = "TP", style = shape.labelup, location = location.belowbar, size = size.tiny, display = overlayMode ? display.all : display.none)
plotshape(bearishSignal ? momentumUpBias * 1.2 : na, title = "Bearish TP Signal", color = color.new(colorDown, 30), textcolor = color.rgb(255, 255, 255), text = "TP", style = shape.labeldown, location = location.abovebar, size = size.tiny, display = overlayMode ? display.all : display.none)
plotchar(bullishSignal ? momentumDownBias * 1.2 : na, "Bullish TP Signal", "X", location.absolute, color = color.new(colorUp, 30), size = size.tiny, display = not overlayMode ? display.all : display.none)
plotchar(bearishSignal ? momentumUpBias * 1.2 : na, "Bearish TP Signal", "X", location.absolute, color = color.new(colorDown, 30), size = size.tiny, display = not overlayMode ? display.all : display.none)

plotcandle(open, high, low, close, "Candle Color", candleColor, candleColor, bordercolor = candleColor, display = overlayMode ? display.all : display.none)

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/

// © AlgoAlpha

//@version=5

indicator(title="Momentum Bias Index [AlgoAlpha]", timeframe="", timeframe_gaps=false)

source = input(close, title="Source")

momentumLength = input.int(10, minval=1, title="Momentum Length")

biasLength = input.int(5, minval=1, title="Bias Length")

smoothLength = input.int(10, minval=1, title="Smooth Length")

impulseBoundaryLength = input.int(30, minval=1, title="Impulse Boundary Length")

stdDevMultiplier = input.float(3.0, minval=1, title="Standard Deviation Multiplier")

smoothIndicator = input.bool(true, "Smooth Indicator")

overlayMode = input.bool(false, "Overlay Mode")

colorUp = input.color(#00ffbb, "Up Color")

colorSecondaryUp = input.color(#008461, "Secondary Up Color")

colorDown = input.color(#ff1100, "Down Color")

colorSecondaryDown = input.color(#840900, "Secondary Down Color")

momentum = source - source[momentumLength]

stdDev = momentum / (ta.ema(high - low, momentumLength)) * 100

momentumUp = math.max(stdDev, 0)

momentumDown = math.min(stdDev, 0)

momentumUpBias = smoothIndicator ? math.max(ta.hma(math.sum(momentumUp, biasLength), smoothLength), 0) : math.sum(momentumUp, biasLength)

momentumDownBias = smoothIndicator ? math.max(ta.hma(-math.sum(momentumDown, biasLength), smoothLength), 0) : -math.sum(momentumDown, biasLength)

averageBias = math.avg(momentumDownBias, momentumUpBias)

chg1 = momentumUpBias*0.80

chg2 = momentumUpBias*0.60

chg3 = momentumUpBias*0.40

chg4 = momentumUpBias*0.20

chg1a = momentumDownBias*0.80

chg2a = momentumDownBias*0.60

chg3a = momentumDownBias*0.40

chg4a = momentumDownBias*0.20

boundary = ta.ema(averageBias, impulseBoundaryLength) + ta.stdev(averageBias, impulseBoundaryLength) * stdDevMultiplier

bullishSignal = ta.crossunder(momentumDownBias, momentumDownBias[1]) and momentumDownBias > boundary and momentumDownBias > momentumUpBias

bearishSignal = ta.crossunder(momentumUpBias, momentumUpBias[1]) and momentumUpBias > boundary and momentumUpBias > momentumDownBias

candleColor = overlayMode ? (momentumUpBias > momentumDownBias ? colorUp : momentumUpBias < momentumDownBias ? colorDown : color.gray) : na

transp = 20

plot(momentumUpBias > momentumUpBias[1] ? momentumUpBias : na, color = momentumUpBias > momentumUpBias[1] ? colorUp : colorSecondaryUp, style = plot.style_columns, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias > momentumDownBias[1] ? momentumDownBias : na, color = momentumDownBias > momentumDownBias[1] ? colorDown : colorSecondaryDown, style = plot.style_columns, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? momentumUpBias : na, color = color.new(colorSecondaryUp, transp+60), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? chg1 : na, color = color.new(colorSecondaryUp, transp+55), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? chg2 : na, color = color.new(colorSecondaryUp, transp+45), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? chg3 : na, color = color.new(colorSecondaryUp, transp+30), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? chg4 : na, color = color.new(colorSecondaryUp, transp+25), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumUpBias < momentumUpBias[1] ? momentumUpBias : na, color = color.new(colorUp, transp), style = plot.style_linebr, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? momentumDownBias : na, color = color.new(colorSecondaryDown, transp+60), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? chg1a : na, color = color.new(colorSecondaryDown, transp+55), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? chg2a : na, color = color.new(colorSecondaryDown, transp+45), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? chg3a : na, color = color.new(colorSecondaryDown, transp+30), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? chg4a : na, color = color.new(colorSecondaryDown, transp+25), style = plot.style_columns, linewidth = 4, display = not overlayMode ? display.all : display.none)

plot(momentumDownBias < momentumDownBias[1] ? momentumDownBias : na, color = color.new(colorDown, transp), style = plot.style_linebr, display = not overlayMode ? display.all : display.none)

plot(boundary, style = plot.style_circles, color = color.gray, display = not overlayMode ? display.all : display.none)

plotshape(bullishSignal ? momentumDownBias * 1.2 : na, title = "Bullish TP Signal", color = color.new(colorUp, 30), textcolor = color.rgb(255, 255, 255), text = "TP", style = shape.labelup, location = location.belowbar, size = size.tiny, display = overlayMode ? display.all : display.none)

plotshape(bearishSignal ? momentumUpBias * 1.2 : na, title = "Bearish TP Signal", color = color.new(colorDown, 30), textcolor = color.rgb(255, 255, 255), text = "TP", style = shape.labeldown, location = location.abovebar, size = size.tiny, display = overlayMode ? display.all : display.none)

plotchar(bullishSignal ? momentumDownBias * 1.2 : na, "Bullish TP Signal", "X", location.absolute, color = color.new(colorUp, 30), size = size.tiny, display = not overlayMode ? display.all : display.none)

plotchar(bearishSignal ? momentumUpBias * 1.2 : na, "Bearish TP Signal", "X", location.absolute, color = color.new(colorDown, 30), size = size.tiny, display = not overlayMode ? display.all : display.none)

plotcandle(open, high, low, close, "Candle Color", candleColor, candleColor, bordercolor = candleColor, display = overlayMode ? display.all : display.none)

Traducido por jeangermain y le agradezco. ci dessous le code prorealtime

momentumLength = 10
biasLength = 5
smoothLength = 10
impulseBoundaryLength = 30
stdDevMultiplier = 3.0
smoothIndicator =1
// Calcul de Momentum et Déviation Standard
moment = close - close[momentumLength]
stdDev = moment / ExponentialAverage[momentumLength](high - low) * 100
momentumUp = max(stdDev, 0)
momentumDown = min(stdDev, 0)

// Calcul des sommes avec une boucle
sumMomentumUp = 0
sumMomentumDown = 0
FOR i = 0 TO biasLength - 1 DO
sumMomentumUp = sumMomentumUp + momentumUp[i]
sumMomentumDown = sumMomentumDown + momentumDown[i]
NEXT
// Lissage et calcul des biais
IF smoothIndicator=1 THEN
smoothedMomentumUp = HullAverage[smoothLength](momentumUp)
smoothedMomentumDown = HullAverage[smoothLength](momentumDown)
momentumUpBias = max(smoothedMomentumUp, 0)
momentumDownBias = max(-smoothedMomentumDown, 0)
ELSE
momentumUpBias = max(sumMomentumUp, 0)
momentumDownBias = max(-sumMomentumDown, 0)
ENDIF
// Moyenne des biais
averageBias = (momentumDownBias + momentumUpBias) / 2
// Calcul de la limite (boundary)
boundary = ExponentialAverage[impulseBoundaryLength](averageBias) + STD[impulseBoundaryLength](averageBias) * stdDevMultiplier
// Affichage des signaux
bullishSignal = momentumDownBias < momentumDownBias[1] AND momentumDownBias > boundary AND momentumDownBias > momentumUpBias
bearishSignal = momentumUpBias < momentumUpBias[1] AND momentumUpBias > boundary AND momentumUpBias > momentumDownBias
IF bullishSignal and not bullishSignal[1] THEN
DRAWTEXT("X", barindex, momentumDownBias + 0.2 * momentumDownBias, dialog, bold, 14) coloured(0, 175, 0)
ENDIF
IF bearishSignal and not bearishSignal[1] THEN
DRAWTEXT("X", barindex, momentumUpBias + 0.2 * momentumUpBias, dialog, bold, 14) coloured(150, 0, 0)
ENDIF
if momentumUpBias > momentumUpBias[1] then
r = 0
g = 255
b = 0
endif
if momentumUpBias < momentumUpBias[1] then
r =0
g =150
b =0
endif
if momentumDownBias > momentumDownBias[1] then
r =255
g = 0
b = 0
endif
if momentumDownBias < momentumDownBias[1] then
r = 150
g = 0
b = 0
endif
RETURN boundary as "boundary", momentumUpBias coloured(r, g, b) style(histogram, 1) as "momentumUp", momentumDownBias coloured(r,g,b) style(histogram, 1) as "momentumDown"

momentumLength = 10

biasLength = 5

smoothLength = 10

impulseBoundaryLength = 30

stdDevMultiplier = 3.0

smoothIndicator =1

// Calcul de Momentum et Déviation Standard

moment = close - close[momentumLength]

stdDev = moment / ExponentialAverage[momentumLength](high - low) * 100

momentumUp = max(stdDev, 0)

momentumDown = min(stdDev, 0)

// Calcul des sommes avec une boucle

sumMomentumUp = 0

sumMomentumDown = 0

FOR i = 0 TO biasLength - 1 DO

sumMomentumUp = sumMomentumUp + momentumUp[i]

sumMomentumDown = sumMomentumDown + momentumDown[i]

// Lissage et calcul des biais

IF smoothIndicator=1 THEN

smoothedMomentumUp = HullAverage[smoothLength](momentumUp)

smoothedMomentumDown = HullAverage[smoothLength](momentumDown)

momentumUpBias = max(smoothedMomentumUp, 0)

momentumDownBias = max(-smoothedMomentumDown, 0)

ELSE

momentumUpBias = max(sumMomentumUp, 0)

momentumDownBias = max(-sumMomentumDown, 0)

ENDIF

// Moyenne des biais

averageBias = (momentumDownBias + momentumUpBias) / 2

// Calcul de la limite (boundary)

boundary = ExponentialAverage[impulseBoundaryLength](averageBias) + STD[impulseBoundaryLength](averageBias) * stdDevMultiplier

// Affichage des signaux

bullishSignal = momentumDownBias < momentumDownBias[1] AND momentumDownBias > boundary AND momentumDownBias > momentumUpBias

bearishSignal = momentumUpBias < momentumUpBias[1] AND momentumUpBias > boundary AND momentumUpBias > momentumDownBias

IF bullishSignal and not bullishSignal[1] THEN

DRAWTEXT("X", barindex, momentumDownBias + 0.2 * momentumDownBias, dialog, bold, 14) coloured(0, 175, 0)

ENDIF

IF bearishSignal and not bearishSignal[1] THEN

DRAWTEXT("X", barindex, momentumUpBias + 0.2 * momentumUpBias, dialog, bold, 14) coloured(150, 0, 0)

ENDIF

if momentumUpBias > momentumUpBias[1] then

r = 0

g = 255

b = 0

endif

if momentumUpBias < momentumUpBias[1] then

r =0

g =150

b =0

endif

if momentumDownBias > momentumDownBias[1] then

r =255

g = 0

b = 0

endif

if momentumDownBias < momentumDownBias[1] then

r = 150

g = 0

b = 0

endif

RETURN boundary as "boundary", momentumUpBias coloured(r, g, b) style(histogram, 1) as "momentumUp", momentumDownBias coloured(r,g,b) style(histogram, 1) as "momentumDown"

Hay diferencias entre tradig wiew y PRT (ver archivos)
gracias por su ayuda

larouedegann

Participant

Topics: 65

Replies: 194

Been thanked: 14 times

Author

Posts

Viewing 5 posts - 1 through 5 (of 5 total)

Find exclusive trading pro-tools on