Traduction Code pine tradingwiew

• 12/29/2024 at 1:05 AM #241867
  larouedegann

  bonjour,

  est ce quelqu’un pourrait m’aider à traduire ce code pine tradinwiew

  merci

  // 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)

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  // 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)

   

  

  larouedegann

  Participant

  Topics: 65

  Replies: 194

  Been thanked: 14 times
  12/29/2024 at 5:55 PM #241901
  jacquesgermain

  Bonjour

  par exemple :

  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 = 150
  b = 0
  endif
  if momentumUpBias < momentumUpBias[1] then
  r =0
  g =255
  b =0
  endif
  if momentumDownBias > momentumDownBias[1] then
  r =150
  g = 0
  b = 0
  endif
  if momentumDownBias < momentumDownBias[1] then
  r =255
  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”

  

  jacquesgermain

  Participant

  Topics: 4

  Replies: 135

  Been thanked: 53 times
  12/30/2024 at 7:24 PM #241977
  larouedegann

  bravo et merci pour ton travail que j’aurai été incapable de faire.

  Toujours dans l’esprit de faire bien il y a quelques discordances dans les couleurs.

  ci-joint 2 mêmes graphiques PRT et tradingview ou l’on s’aperçoit

  • si les barres plus foncés pourraient etre en premier puis les barres plus claires (vert ou rouge)
  • il y a des barres rouges qui n’ont rien à faire dans le trend haussier (voir graphique)

  Peut etre avec le boudary mais je ne sais pas ?

  merci

   

  

  larouedegann

  Participant

  Topics: 65

  Replies: 194

  Been thanked: 14 times
  12/30/2024 at 7:43 PM #241980
  jacquesgermain

  bonjour

  ok pour les couleurs claires en 1er  :

  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”

   

   

  

  jacquesgermain

  Participant

  Topics: 4

  Replies: 135

  Been thanked: 53 times
  12/30/2024 at 8:00 PM #241981
  jacquesgermain

  pour le deuxième problème ( barres rouges qui n’ont rien à faire dans le trend haussier ) indicateur à tester avec ajout de la suppression des conflits de couleurs dans les tendances :

  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
  elsif momentumUpBias < momentumUpBias[1] then
  r = 0
  g = 150
  b = 0
  endif
  if momentumDownBias > momentumDownBias[1] then
  r = 255
  g = 0
  b = 0
  elsif momentumDownBias < momentumDownBias[1] then
  r = 150
  g = 0
  b = 0
  endif

  // Suppression des conflits de couleurs dans les tendances :
  if trend = 1 then
  // État haussier – bars rouges interdites
  r = 0
  g = max(g, 150) // Force le vert
  elsif trend = -1 then
  // État baissier – bars vertes interdites
  r = max(r, 150)
  g = 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”

  

  jacquesgermain

  Participant

  Topics: 4

  Replies: 135

  Been thanked: 53 times
  12/30/2024 at 8:46 PM #241983
  larouedegann

  Merci pour les couleurs

  par contre le deuxième probleme doit etre plus complexe

  car il peut exister des barres vertes dans un trend baissier et inversement .

  

  larouedegann

  Participant

  Topics: 65

  Replies: 194

  Been thanked: 14 times
  01/01/2025 at 6:31 PM #242037
  jacquesgermain

  Bonjour   voir fichier attaché on est à l’identique avec tradingview à tester …

  

  jacquesgermain

  Participant

  Topics: 4

  Replies: 135

  Been thanked: 53 times
  01/02/2025 at 2:25 PM #242076
  larouedegann

  // Suppression des conflits de couleurs dans les tendances : if trend = 1 then // État haussier – bars rouges interdites r = 0 g = max(g, 150) // Force le vert elsif trend = -1 then // État baissier – bars vertes interdites r = max(r, 150) g = 0 endif

  1 2 3 4 5 6 7 8 9 10

  // Suppression des conflits de couleurs dans les tendances : if trend = 1 then // État haussier – bars rouges interdites r = 0 g = max(g, 150) // Force le vert elsif trend = -1 then // État baissier – bars vertes interdites r = max(r, 150) g = 0 endif

  excuse moi , mais je n’ai pas de “trend” dans le code…..
  J’ai essayé avec “bullishsignal” et “bearish signal” mais ça ne fonctionne pas.
  tu peux me le réécrire svp
  merci

  

  larouedegann

  Participant

  Topics: 65

  Replies: 194

  Been thanked: 14 times
  01/02/2025 at 4:48 PM #242084
  jacquesgermain

  peux tu préciser ce que tu demandes car dans ma dernière version qui donne le même résultat que celui de tradingview la variable trend ne sert plus à rien …

  momentumLength = 10
  biasLength = 5
  smoothLength = 10
  impulseBoundaryLength = 30
  stdDevMultiplier = 3
  smoothIndicator =smoothIndicator
  // 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 avec HMA intégrée
  IF smoothIndicator=1 THEN
  // Calcul de la Hull Moving Average (HMA) pour momentumUp
  wmaHalfUp = WeightedAverage[ROUND(smoothLength / 2)](momentumUp)
  wmaFullUp = WeightedAverage[smoothLength](momentumUp)
  hullIntermediateUp = 2 * wmaHalfUp – wmaFullUp
  smoothedMomentumUp = WeightedAverage[ROUND(SQRT(smoothLength))](hullIntermediateUp)
  // Calcul de la Hull Moving Average (HMA) pour momentumDown
  wmaHalfDown = WeightedAverage[ROUND(smoothLength / 2)](momentumDown)
  wmaFullDown = WeightedAverage[smoothLength](momentumDown)
  hullIntermediateDown = 2 * wmaHalfDown – wmaFullDown
  smoothedMomentumDown = WeightedAverage[ROUND(SQRT(smoothLength))](hullIntermediateDown)
  momentumUpBias = max(smoothedMomentumUp, 0)
  momentumDownBias = max(-smoothedMomentumDown, 0)
  ELSE
  IF smoothIndicator=0 THEN
  momentumUpBias = max(sumMomentumUp, 0)
  momentumDownBias = max(-sumMomentumDown, 0)
  ENDIF
  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
  // Initialisation de la variable trend
  //trend = 0
  //IF bullishSignal THEN
  //trend = 1
  //ELSIF bearishSignal THEN
  //trend = -1
  //ENDIF
  // Gestion des couleurs pour momentumUpBias et momentumDownBias
  IF momentumUpBias > momentumUpBias[1] AND NOT (momentumDownBias > momentumDownBias[1]) THEN
  // Couleur verte vive
  r = 0
  g = 255
  b = 0
  ELSIF momentumUpBias < momentumUpBias[1] AND NOT (momentumDownBias < momentumDownBias[1]) THEN
  // Couleur verte atténuée
  r = 0
  g = 150
  b = 0
  ELSIF momentumDownBias > momentumDownBias[1] AND NOT (momentumUpBias > momentumUpBias[1]) THEN
  // Couleur rouge vive
  r = 255
  g = 0
  b = 0
  ELSIF momentumDownBias < momentumDownBias[1] AND NOT (momentumUpBias < momentumUpBias[1]) THEN
  // Couleur rouge atténuée
  r = 150
  g = 0
  b = 0
  ENDIF

  // Suppression des conflits de couleurs dans les tendances
  //IF trend = 1 THEN
  // État haussier – force le vert
  //r = 0
  //g = max(g, 150)
  //ELSIF trend = -1 THEN
  // État baissier – force le rouge
  //r = max(r, 150)
  //g = 0
  //ENDIF
  // Application des couleurs aux histogrammes
  RETURN boundary COLOURED(0, 0, 150) STYLE(DOTTEDLINE2) AS “boundary”,momentumUpBias COLOURED(r, g, b) STYLE(histogram, 1) AS “momentumUp”,momentumDownBias COLOURED(r, g, b) STYLE(histogram, 1) AS “momentumDown”,momentumUpBias COLOURED(r, g, b) STYLE(line, 1) AS “lmomentumUp”,momentumDownBias COLOURED(r, g, b) STYLE(line, 1) AS “lmomentumDown”

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  Iván

  

  jacquesgermain

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  01/04/2025 at 5:05 PM #242154
  larouedegann

  Désolé je n’avais pas vu le fichier itf sous les graphiques.
  Tout est OK . Merci à toi
  Ce serait bien de le mettre en librairie

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  jacquesgermain

  

  larouedegann

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