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)

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67

  // 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: 187

  Been thanked: 13 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: 3

  Replies: 125

  Been thanked: 48 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: 187

  Been thanked: 13 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: 3

  Replies: 125

  Been thanked: 48 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: 3

  Replies: 125

  Been thanked: 48 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: 187

  Been thanked: 13 times
• Author
  Posts