Estrategia de ruptura con confirmación en marcos de tiempo múltiples

El autor:¿ Qué pasa?, Fecha: 2023-12-15 12:16:55
Las etiquetas:

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Resumen general

Esta estrategia combina las señales de ruptura de los marcos de tiempo de 4 horas y diarios y verifica los patrones de candlestick antes de emitir señales de negociación, implementando así una estrategia de negociación de ruptura más confiable.

Estrategia lógica

La estrategia de breakout de confirmación doble combina las señales de breakout del marco de tiempo corto y el marco de tiempo largo e identifica puntos de breakout más eficientes considerando la consistencia entre las tendencias a largo y corto plazo. Específicamente, esta estrategia calcula promedios móviles en marcos de tiempo de 4 horas y diarios. La señal de compra se genera cuando el MA a corto plazo cruza el MA a largo plazo, y viceversa para la señal de venta. Además, esta estrategia también verifica el patrón de vela de la barra actual antes de emitir señales comerciales para evitar abrir posiciones durante acciones de precio desagradables.

A través de los mecanismos de confirmación doble y filtrado de candlestick, los riesgos de liquidación larga o trampas cortas pueden evitarse de manera efectiva, mejorando así la calidad de las señales de negociación.

Análisis de ventajas

  1. La combinación de marcos de tiempo a corto y largo plazo permite a las señales rastrear tendencias a corto plazo mientras se refieren a tendencias a largo plazo.

  2. La verificación del patrón de velas evita señales falsas. Validar el patrón de velas antes de las señales puede filtrar algunas rupturas falsas o aberrantes y evitar pérdidas.

  3. La optimización automatizada proporciona flexibilidad. Los parámetros de ruptura y los parámetros de ciclo de esta estrategia son personalizables para que los usuarios seleccionen la combinación óptima de parámetros de acuerdo con diferentes productos comerciales y condiciones del mercado.

Análisis de riesgos

  1. La estrategia de doble ruptura tiene una capacidad de persecución de tendencias relativamente débil contra picos de precios extremos.

  2. En condiciones extremas de mercado, las velas a menudo muestran distorsiones, y el mecanismo de verificación hace que la estrategia sea más conservadora, perdiendo así alguna oportunidad.

  3. Los usuarios deben seleccionar los parámetros apropiados para los componentes de ruptura y candlestick dobles basados en el producto específico, de lo contrario el rendimiento de la estrategia se vería comprometido.

Para hacer frente a estos riesgos, se pueden adoptar métodos como el ajuste de parámetros, la configuración de stop loss / profit para mejorar y optimizar.

Direcciones de optimización

  1. Por ejemplo, las señales de ruptura emitidas cuando BB está apretando tienden a tener una mayor calidad.

  2. Agregue módulos de stop loss/profit. La configuración adecuada ayuda a bloquear las ganancias y reducir las pérdidas de manera proactiva.

  3. Optimizar los parámetros de ruptura dual, que pueden ajustarse de acuerdo con las características del producto, como la volatilidad intradiaria y diaria.

  4. Optimizar los parámetros de verificación de línea K. Diferentes combinaciones de ciclos y parámetros para la verificación de línea K pueden producir resultados más estables.

Conclusión

La estrategia de ruptura de confirmación doble logra un equilibrio eficiente entre la eficiencia del capital y la calidad de la señal mediante la combinación de marcos de tiempo y mecanismos de verificación de la línea K, lo que la convierte en una estrategia de ruptura recomendada a corto plazo.


/*backtest
start: 2023-11-14 00:00:00
end: 2023-12-14 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=2
strategy("breakout ", overlay=true)
tim=input('1440')
sim=input('370')

out1 = request.security(syminfo.tickerid, tim, open)
out2 = request.security(syminfo.tickerid, sim, close)
plot(out1,color=red)
plot(out2,color=green)

length = input(20, title="BB Length")
mult = input(2.0,title="BB MultFactor")
lengthKC=input(20, title="KC Length")
multKC = input(1.5, title="KC MultFactor")

useTrueRange = input(true, title="Use TrueRange (KC)", type=bool)

// Calculate BB
source = close
basis = sma(source, length)
dev = multKC * stdev(source, length)
upperBB = basis + dev
lowerBB = basis - dev

// Calculate KC
ma = sma(source, lengthKC)
range1 = useTrueRange ? tr : (high - low)
rangema = sma(range1, lengthKC)
upperKC = ma + rangema * multKC
lowerKC = ma - rangema * multKC

sqzOn  = (lowerBB > lowerKC) and (upperBB < upperKC)
sqzOff = (lowerBB < lowerKC) and (upperBB > upperKC)
noSqz  = (sqzOn == false) and (sqzOff == false)

val = linreg(source  -  avg(avg(highest(high, lengthKC), lowest(low, lengthKC)),sma(close,lengthKC)),lengthKC,0)

bcolor = iff( val > 0,iff( val > nz(val[1]), lime, green),iff( val < nz(val[1]), red, maroon))
scolor = noSqz ? blue : sqzOn ? black : gray 
//plot(val, color=bcolor, style=histogram, linewidth=4)
//plot(0, color=scolor, style=cross, linewidth=2)

// this section based on Almost Zero Lag EMA [LazyBear]
// Fast MA - type, length
matype   = input(defval="HullMA", title="Fast MA Type: SMA, EMA, WMA, VWMA, SMMA, DEMA, TEMA, HullMA, TMA, ZEMA ( case sensitive )")
malength = input(defval=20, title="Moving Average Length", minval=1)
src      = input(close,title="Moving average Source")

// Returns MA input selection variant, default to SMA if blank or typo.
variant(type, src, len) =>
    v1 = sma(src, len)                                                  // Simple
    v2 = ema(src, len)                                                  // Exponential
    v3 = wma(src, len)                                                  // Weighted
    v4 = vwma(src, len)                                                 // Volume Weighted
    v5 = na(v5[1]) ? sma(src, len) : (v5[1] * (len - 1) + src) / len    // Smoothed
    v6 = 2 * v2 - ema(v2, len)                                          // Double Exponential
    v7 = 3 * (v2 - ema(v2, len)) + ema(ema(v2, len), len)               // Triple Exponential
    v8 = wma(2 * wma(src, len / 2) - wma(src, len), round(sqrt(len)))   // Hull
    ema1 = ema(src, len)
    ema2 = ema(ema1, len)
    v10 = ema1+(ema1-ema2)                                              // Zero Lag Exponential
    v11 = sma(sma(src,len),len)                                         // Trianglular
    // return variant, defaults to SMA if input invalid.
    type=="EMA"?v2 : type=="WMA"?v3 : type=="VWMA"?v4 : type=="SMMA"?v5 : type=="DEMA"?v6 : type=="TEMA"?v7 : type=="HullMA"?v8 : type=="ZEMA"?v10 : type=="TMA"?v11 : v1

// Calculate selected MA and get direction of trend from it.
zlema= variant(matype,src,malength)
col =  zlema > zlema[1] ? green : red
up = zlema > zlema[1] ? 1 : 0
down = zlema < zlema[1] ? 1 : 0
//plot(zlema,color=col, style=line, linewidth=4, transp=0)


// Find all Fractals.
// This section based on [RS]Fractal Levels  by RicardoSantos
hidefractals = input(false)
hidelevels = input(false)
topfractal = high[2] > high[1] and high[2] > high and high[2] > high[3] and high[2] > high[4]
botfractal = low[2] < low[1] and low[2] < low and low[2] < low[3] and low[2] < low[4]

//plotshape(hidefractals ? na : topfractal, color=green, transp=0, style=shape.triangleup, location=location.abovebar, offset=-2, size=size.tiny)
//plotshape(hidefractals ? na : botfractal, color=red, transp=0, style=shape.triangledown, location=location.belowbar, offset=-2, size=size.tiny)

topfractals = topfractal ? high[2] : topfractals[1]
botfractals = botfractal ? low[2] : botfractals[1]

topfcolor = topfractals != topfractals[1] ? na : green
botfcolor = botfractals != botfractals[1] ? na : red

//plot(hidelevels ? na : topfractals, color=topfcolor, transp=0, linewidth=2)
//plot(hidelevels ? na : botfractals, color=botfcolor, transp=0, linewidth=2)

//
// This section based on Candlestick Patterns With EMA by rmwaddelljr
//
ufb  = input(false, title="Use Fractal S/R Cross Patterns")
udc  = input(true, title="Use Dark Cloud Cover Patterns" )
upl  = input(true, title="Use Piecing Line Patterns" )
ube  = input(true, title="Use Engulfing Candle Patterns" )
ubh  = input(true, title="Use Harami Candle Patterns" )
upb  = input(true,  title="Use Defined PinBar Patterns")
pctP = input(66, minval=1, maxval=99, title="Directional PBars, % of Range of Candle the Long Wick Has To Be")
// This section based on CM_Price-Action-Bars by ChrisMoody
// Change the pin bar calculation, so can be used for market direction.
urpb= input(false, title="Use CM Price Action Reversal Pin Bars")
usb = input(false, title="Use CM Price Action Shaved Bars")
uob = input(false, title="Use CM Price Action Outside Bars")
uib = input(false, title="Use CM Price Action Inside Bars")
pctRP = input(72, minval=1, maxval=99, title="CM Reversal PBars, % of Range of Candle the Long Wick Has To Be")
pctS = input(5, minval=1, maxval=99, title="CM Shaved Bars, % of Range it Has To Close On The Lows or Highs")
pblb =input(6,minval=1,title="CM Reversal Pin Bar Lookback Length")
//
stnd = input(true, title="Alert Only Patterns Following Trend")
//
// Get MACD for Alert Filtering
umacd  = input(true,title="Alert Only Patterns Confirmed by MACD")
fastMA = input(title="MACD Fast MA Length",  defval = 12, minval = 2)
slowMA = input(title="MACD Slow MA Length",  defval = 26, minval = 7)
signal = input(title="MACD Signal Length",defval=9,minval=1)

//
sgb = input(false, title="Check Box To Turn Bars Gray")
salc = input(true, title="Show Alert condition Dot")
//
[currMacd,_,_] = macd(close[0], fastMA, slowMA, signal)
[prevMacd,_,_] = macd(close[1], fastMA, slowMA, signal)
plotColor = currMacd > 0 ? currMacd > prevMacd ? green : red : currMacd < prevMacd ? red : green

// Show alert on this bar?
sbarUp = (not umacd or plotColor == green) and (not stnd or up)
sbarDn = (not umacd or plotColor == red) and (not stnd or down)

//PBar Percentages
pctCp = pctP * .01

//Shaved Bars Percentages
pctCs = pctS * .01
pctSPO = pctCs
//ma50 = sma(close,50)

range = high - low

///Reversal PinBars
pctCRp = pctRP * .01
pctCRPO = 1 - pctCRp
//
//pBarRUp= upb and open<close and open > high - (range * pctCRPO) and close > high - (range * pctCRPO) and low <= lowest(pblb) ? 1 : 0
//pBarRDn = upb and open>close and open < high - (range *  pctCRp) and close < high-(range * pctCRp) and high >= highest(pblb) ? 1 : 0
pBarRUp = urpb and  open > high - (range * pctCRPO) and close > high - (range * pctCRPO) and low <= lowest(pblb) ? 1 : 0
pBarRDn = urpb and  open < high - (range *  pctCRp) and close < high-(range * pctCRp) and high >= highest(pblb) ? 1 : 0

//Shaved Bars filter to the MA50 line
sBarUp   = usb and (close >= (high - (range * pctCs))) // and close>ma50 
sBarDown = usb and (close <= (low + (range * pctCs)))  // and close<ma50

//Inside Bars
insideBarUp = uib and (high < high[1] and low > low[1])
insideBarDn = uib and (high < high[1] and low > low[1])
outsideBarUp= uob and (high > high[1] and low < low[1])
outsideBarDn= uob and (high > high[1] and low < low[1])

// PinBars representing possible change in trend direction
barcolor(pBarRUp ? green : na)
barcolor(pBarRDn ? red : na)

//Shaved Bars
barcolor(sBarDown ? fuchsia : na)
barcolor(sBarUp   ? aqua : na)

//Inside and Outside Bars
barcolor((insideBarUp or insideBarDn)? yellow : na )
barcolor((outsideBarUp or outsideBarDn) ? orange : na )


//Long shadow PinBars supporting market direction
///PinBars Long Upper Shadow represent selling pressure
pBarDn = upb and open < high - (range * pctCp) and close < high - (range * pctCp)
//plotshape(pBarDn and (not pBarRUp and not pBarRDn), title= "Bearish Pin Bar",  color=red, style=shape.arrowdown, text="Bearish\nPinBar")
///PinBars with Long Lower Shadow represent buying pressure
pBarUp = upb and open > low + (range * pctCp) and close > low + (range * pctCp)
//plotshape(pBarUp and (not pBarRUp and not pBarRDn),  title= "Bullish Pin Bar", location=location.belowbar, color=green, style=shape.arrowup, text="Bullish\nPinBar")

dcc = udc and (close[1]>open[1] and abs(close[1]-open[1])/range[1]>=0.7 and close<open and abs(close-open)/range>=0.7 and open>=close[1] and close>open[1] and close<((open[1]+close[1])/2))
//plotshape(dcc, title="Dark Cloud Cover",text='DarkCloud\nCover',color=red, style=shape.arrowdown,location=location.abovebar)
ts = timestamp(2021,8,1,8,18)
pln= upl and (close[1]<open[1] and abs(open[1]-close[1])/range[1]>=0.7 and close>open and abs(close-open)/range>=0.7 and open<=close[1] and close<open[1] and close>((open[1]+close[1])/2))
//plotshape(pln, title="Piercieng Line",text="Piercing\nLine",color=green, style=shape.arrowup,location=location.belowbar)

beh = ubh and (close[1] > open[1] and open > close and open <= close[1] and low >= open[1] and open - close < close[1] - open[1] and (high < high[1] and low > low[1]))
//plotshape(beh and not dcc, title= "Bearish Harami",  color=red, style=shape.arrowdown, text="Bear\nHarami")

blh = ubh and (open[1] > close[1] and close > open and close <= open[1] and high <= open[1] and close - open < open[1] - close[1] and (high < high[1] and low > low[1]))
//plotshape(blh and not pln,  title= "Bullish Harami", location=location.belowbar, color=green, style=shape.arrowup, text="Bull\nHarami")

bee = ube and (close[1] > open[1] and close < open and close<=low[1] and open>= close[1])
//plotshape(bee,  title= "Bearish Engulfing", color=red, style=shape.arrowdown, text="Bearish\nEngulf")

ble = ube and (close[1] < open[1] and close > open and close >= high[1] and open<=close[1])
//plotshape(ble, title= "Bullish Engulfing", location=location.belowbar, color=green, style=shape.arrowup, text="Bullish\nEngulf")

blfr = ufb and crossover(close,topfractals)
//plotshape(blfr and not ble and not blh and not sBarUp, title= "Bullish Fractal Cross", location=location.belowbar, color=green, style=shape.arrowup, text="Fractal\nCross")
befr = ufb and crossunder(close,botfractals) 
//plotshape(befr and not bee and not beh and not sBarDown,  title= "Bearish Fractal Cross", color=red, style=shape.arrowdown, text="Fractal\nCross")
//
//
bcolorDn = sbarDn and not(pBarRDn or pBarRUp or sBarDown or insideBarDn or outsideBarDn) and (beh or bee or dcc or befr or pBarDn)
bcolorUp = sbarUp and not(pBarRDn or pBarRUp or sBarUp or insideBarUp or outsideBarUp) and (blh or ble or pln or blfr or pBarUp)
barcolor(bcolorDn ? maroon : na)
barcolor(bcolorUp ? lime : na)
//
barcolor(sgb and close ? gray : na)

bullcnd = pBarUp or pln or blh or ble or blfr
bearcnd = pBarDn or dcc or beh or bee or befr
if(true )
    longCondition = crossover(out2,out1)
    if(longCondition or close > out1 and bullcnd and strategy.position_size == 0)
        strategy.entry("long", strategy.long)
    
    //if (pBarRUp) // and bullcnd) //and strategy.position_size == 0)
    //    strategy.entry("long", strategy.long)
        
    shortCondition = crossunder(out2,out1)
    if (shortCondition or close < out1 and bearcnd and strategy.position_size == 0)
        strategy.entry("short", strategy.short)

//
barAlertDn = (sbarDn and (befr or bee or beh or pBarDn  or dcc)) or (sbarDn and (insideBarDn or outsideBarDn or sBarDown)) or pBarRDn
barAlertUp = (sbarUp and (blfr or ble or blh or pBarUp  or pln)) or (sbarUp and (insideBarUp or outsideBarUp or sBarUp))  or pBarRUp
barAlert = barAlertDn or barAlertUp
alertcondition(barAlert,title="CDLTRD Alert", message="CDLTRD Bar Alert")
// show only when alert condition is met and bar closed.
//plotshape(salc and barAlert[1],title= "Alert Indicator Closed", location=location.bottom, color=barAlertDn[1]?red:green, transp=0, style=shape.circle,offset=-1)
//EOF


        
    //if (pBarRDn) //and bearcnd//and strategy.position_size == 0)
     //   strategy.entry("short", strategy.short)

//strategy.close("long", when = exit)        
//strategy.close("short", when = exit2)
    
    
//exit3 = sqzOn and sqzOn[1] and sqzOn[2] and sqzOn[3] and sqzOn[4] and sqzOn[5] and sqzOn[6]
//strategy.close("long", when = exit3)
//strategy.close("short", when = exit3)
    
    
//else
  //  alertcondition(condition = time > t, message = "Time exceeded")


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