CONVERSION INDICADOR TRADINGVIEW

• 07/29/2024 at 4:18 PM #235901
  supertiti

  Bonjour à tous,

  Beaucoup de travail où on aurait pu faire une économie de temps et de neurones brûlés !

  Je vous joins un graphe de ASML daily où j’ai superposé le LDC et une moyenne pondérée période 20 et qu’est ce qu’on voit

  la même chose à un poil près.

  La bonne nouvelle c’est qu’on peut utiliser la WMA20 sur PRT mobile comme on ne peut pas mettre de code perso.

  Bon trades à tous.

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  Fr7, Iván

  

  supertiti

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  02/26/2025 at 6:53 PM #244388
  oliTR

  muchas gracias Iván

  en la línea 433 del código original figura la fórmula siguiente:
  yhat2 = kernels.gaussian(settings.source, h-lag, x)
  ¿Sería posible traducirla también?

  así como las siguientes líneas? :
  // Alert Variables
  bool alertBullish = useKernelSmoothing? isBullishCrossAlert: isBullishChange
  bool alertBearish = useKernelSmoothing? isBearishCrossAlert: isBearishChange
  // Bullish and Bearish Filters based on Kernel
  isBullish = useKernelFilter? (useKernelSmoothing? isBullishSmooth: isBullishRate): true
  isBearish = useKernelFilter? (useKernelSmoothing? isBearishSmooth: isBearishRate): true

  así como el final del código y en particular estos últimos apartados? :
  // Dynamic Exit Conditions
  // Fixed Exit Conditions
  // Alertas separadas para entradas y salidas
  // Alertas combinadas para entradas y salidas
  // Kernel Estimate Alerts

  

  oliTR

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  02/27/2025 at 2:46 PM #244409
  Iván

  Hola. De nada. Te dejo aquí el cálculo de yhat2.

  //Rational Quadratic src1=close startAtBar=x1 relativeWeight=r1 lookback1=h1 lookback2=h1-lag currentWeight1=0 cumulativeWeight1=0 currentWeight2=0 cumulativeWeight2=0 size1=min(maxBarsBack,barindex) for k=0 to min(size1+startAtBar,barindex) do //Rational Quadratic w1=POW(1+(pow(k,2)/(pow(lookback1,2)*2*relativeWeight)),-relativeWeight) currentWeight1=currentWeight1+src1[k]*w1 cumulativeWeight1=cumulativeWeight1+w1 //Gaussian w2=EXP(-pow(k,2)/(2*pow(lookback2,2))) currentWeight2=currentWeight2+src1[k]*w2 cumulativeWeight2=cumulativeWeight2+w2 next yhat1=currentWeight1/cumulativeWeight1 yhat2=currentWeight2/cumulativeWeight2

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  //Rational Quadratic src1=close startAtBar=x1 relativeWeight=r1   lookback1=h1 lookback2=h1-lag   currentWeight1=0 cumulativeWeight1=0   currentWeight2=0 cumulativeWeight2=0   size1=min(maxBarsBack,barindex)   for k=0 to min(size1+startAtBar,barindex) do //Rational Quadratic w1=POW(1+(pow(k,2)/(pow(lookback1,2)*2*relativeWeight)),-relativeWeight) currentWeight1=currentWeight1+src1[k]*w1 cumulativeWeight1=cumulativeWeight1+w1 //Gaussian w2=EXP(-pow(k,2)/(2*pow(lookback2,2))) currentWeight2=currentWeight2+src1[k]*w2 cumulativeWeight2=cumulativeWeight2+w2 next   yhat1=currentWeight1/cumulativeWeight1 yhat2=currentWeight2/cumulativeWeight2

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  oliTR

  

  Iván

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