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Estrategia de acción de precios

El autor:¿ Qué pasa?, Fecha: 2023-09-19 11:17:07
Las etiquetas:

Resumen general

Se trata de una estrategia de negociación basada en la acción del precio, combinada con promedios móviles para identificar tendencias y utilizar patrones de precios para la entrada.

Principios de estrategia

La estrategia se basa principalmente en los siguientes aspectos:

  1. Cuando el EMA de 89 períodos y el Hull MA son ambos rojos, se juzga como tendencia bajista, solo corta; cuando ambos son verdes, se juzga como tendencia alcista, solo larga; cuando uno es verde y uno es rojo, se juzga como consolidación, tanto largo como corto son posibles.

  2. La estrategia reconoce varias combinaciones de velas como velas individuales, patrones falsos, barras internas, etc. para detectar puntos de entrada potenciales.

  3. Combinando con los niveles clave de soporte/resistencia para la entrada, la estrategia también incorpora niveles clave de S/R para verificar aún más las señales de patrón de precios y evitar fallas.

  4. Los colores del histograma MACD se utilizan para confirmar las señales de patrón de precios y mejorar la probabilidad.

  5. Mecanismo de seguimiento de tendencias: la estrategia incluye un módulo de seguimiento de tendencias para detectar con mayor precisión las inversiones de tendencias y evitar perseguir los picos y los fondos.

  6. El valor de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas y de las pérdidas fijas se incluyen para gestionar el riesgo/beneficio.

Análisis de ventajas

La estrategia tiene las siguientes ventajas:

  1. Basado en la acción de los precios, sin ser afectado por los indicadores, basado en precios puros sin indicadores complejos, más cercano a la naturaleza del mercado.

  2. Combinando tendencias, evitando perseguir. EMA y Hull MA identifican la dirección de la tendencia, operando a lo largo de las tendencias, evitando operaciones contrarias a la tendencia.

  3. Los patrones de precios combinados con el MACD verifican las señales, filtran las señales falsas, mejorando la rentabilidad.

  4. El módulo de seguimiento de tendencias capta tendencias de marcos de tiempo más grandes, con un mayor potencial de ganancia.

  5. Las tasas fijas de stop loss/take profit ayudan a gestionar el riesgo/beneficio.

Análisis de riesgos

La estrategia también presenta los siguientes riesgos:

  1. La estrategia funciona mejor con tendencias claras a medio / corto plazo. Los riesgos de reversión más grandes se detienen. El análisis de marcos de tiempo más grandes puede ayudar a evitar.

  2. El riesgo de fallo de patrones de precios. Los patrones de precios tienen una eficacia variable en diferentes entornos de mercado. Algunos mercados pueden causar que los patrones fallen, lo que conduce a pérdidas.

  3. Dificultad de optimización de parámetros. La estrategia tiene múltiples parámetros. Diferentes combinaciones afectan significativamente los resultados. Se requiere una extensa prueba de retroceso para encontrar parámetros óptimos. La configuración estática también corre el riesgo de cambios en el régimen del mercado. Un mecanismo de optimización de parámetros dinámicos puede ayudar a abordar esto.

  4. Incapacidad para controlar el riesgo individual de la operación. El stop loss/take profit fijo no puede adaptarse a las fluctuaciones en cada operación y gestionar las relaciones riesgo/recompensación individuales de la operación. Los algoritmos de stop loss dinámicos o los módulos de gestión de riesgos pueden ayudar.

Direcciones de optimización

La estrategia puede mejorarse en los siguientes aspectos:

  1. Introduzca el aprendizaje automático para el reconocimiento de patrones más complejos.

  2. Aumentar la adaptabilidad. Construir mecanismos de optimización de parámetros dinámicos para que la estrategia pueda ajustarse en función de las condiciones del mercado en tiempo real en lugar de configuraciones estáticas.

  3. Incorpore más factores para verificar las señales. Agregue más factores de acción de precios como volumen, brechas durante la noche, etc. para confirmar las señales y reducir el riesgo de quedar atrapado.

  4. Introduzca la gestión del riesgo y el tamaño de las posiciones. Ajuste automáticamente los tamaños de las posiciones en función de los umbrales para controlar eficazmente la pérdida de parada de una sola operación y optimizar las relaciones riesgo / recompensa.

  5. Optimizar los mecanismos de entrada y perfeccionar los módulos de detección de tendencias para identificar con mayor precisión los ritmos de tendencia/consolidación, mejorando así la precisión de entrada.

Conclusión

En general, la fortaleza central de esta estrategia radica en juicios basados en la acción de precios, evitando la dependencia de los indicadores y reflejando al máximo la naturaleza del mercado. La combinación de tendencias e indicadores mejora la rentabilidad mientras que el control de pérdidas de parada / toma de ganancias controla el riesgo. Pero los riesgos como reversiones de tendencias de marcos de tiempo más grandes, fallas de patrones de precios deben abordarse. Las mejoras futuras pueden provenir del aprendizaje automático, optimización de parámetros dinámicos, módulos de gestión de riesgos, etc. para hacer que la estrategia sea más robusta.


/*backtest
start: 2023-08-19 00:00:00
end: 2023-09-18 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
args: [["v_input_1",true]]
*/

//@version=2
// strategy(title="Price Action", shorttitle="Price Action", overlay=true,default_qty_value=2000,initial_capital=1000,currency=currency.USD, pyramiding=1,calc_on_every_tick=true)
// EMA //
HiLoLen = 34
pacL = ema(low,HiLoLen)
pacC = ema(close,HiLoLen)
pacH = ema(high,HiLoLen)
signalMA = ema(close,89)
col1=pacC>signalMA?lime:pacC<signalMA?red:yellow
plot(signalMA, color=col1, title="SignalMA")
// Plot the Price Action Channel (PAC) base on EMA high,low and close//
//L=plot(pacL, color=yellow, linewidth=1, title="High PAC EMA",transp=0)
//C=plot(pacC, color=yellow, style = line, linewidth=1, title="Close PAC EMA",transp=0)
//H=plot(pacH, color=yellow, linewidth=1, title="Low PAC EMA",transp=0)
// HullMA //
n=89
//
n2ma=2*wma(close,round(n/2))
nma=wma(close,n)
diff=n2ma-nma
sqn=round(sqrt(n))
//
n2ma1=2*wma(close[1],round(n/2))
nma1=wma(close[1],n)
diff1=n2ma1-nma1
sqn1=round(sqrt(n))
//
n1=wma(diff,sqn)
n2=wma(diff1,sqn)
condDown = n2 >= n1
condUp = condDown != true
col =condUp ? lime : condDown ? red : yellow
plot(n1,title="Hull MA", color=col,linewidth=1)
// Macd Barcolor
fastlength = 12
slowlength = 26
MACDLength = 9
MACD = ema(close, fastlength) - ema(close, slowlength)
aMACD = ema(MACD, MACDLength)
delta = MACD - aMACD
hisup= iff(delta>delta[1] and delta>0, 1,iff(delta<delta[1], -1, nz(hisup[1], 0)))
hisdown = iff(delta<delta[1] and delta<0, 1,iff(delta>delta[1], -1, nz(hisdown[1], 0)))
//Swing high low// 
ktswinghigh=(high<=high[2] and high[1]<=high[2] and high[3]<=high[2] and high[4]<=high[2])// and high<high[1] and high[4]<high[3]) or (high<high[1] and high[1]<high[2] and high[4]<high[2] and high[5]<high[2] and high[3]<high[2]) 
ktswinghigh3=(high<high[1] and high[1]<high[3] and high[5]<high[3] and high[6]<high[5]and high[2]<high[3] and high[4]<high[3]) or(high<high[3] and high[2]<high[3] and high[1]<high[3] and high[4]<high[3] and high[5]<high[4])
sh=ktswinghigh?high[2]:na
swinghigh = fixnan(sh)
colorsh=swinghigh==swinghigh[1]?white:na
plot(swinghigh,color=colorsh,title="Swing High",style=line,offset=-2)

ktswinglow=(low>=low[2] and low[1]>=low[2] and low[3]>=low[2] and low[4]>=low[2])// and low>low[1] and low[4]>low[3]) or (low>low[1] and low[1]>low[2] and low[4]>low[2] and low[5]>low[2] and low[3]>low[2])
ktswinglow3=low>low[1] and low[1]>low[3] and low[5]>low[3] and low[6]>low[5]  and low[2]>low[3] and low[4]>low[3] or (low>low[3] and low[1]>low[3] and low[2]>low[3] and low[4]>low[3] and low[5]>low[4])
sl=ktswinglow?low[2]:na
swinglow = fixnan(sl)
colorsl=swinglow==swinglow[1]?white:na
plot(swinglow,title="Swing Low",color=colorsl,style=line,offset=-2)

// Pinbar FailBreak
ema21=ema(close,13)
beariskpinbar= (close-open<(high-low)/3 and open-close<(high-low)/3)  and ((high>swinghigh and high>high[1] and high>high[2] and high>high[3] and close<swinghigh))// or ((open[2]<ema21[2] or close[2]<ema21[2]) and high>ema21 and low[2]<low[1] and low[3]<low[2] and high>high[1] and high>high[2] and high>high[3]))
bullishpibar=(close-open<(high-low)/3 and open-close<(high-low)/3)  and ((low<swinglow and low<low[1] and low<low[2] and low<low[3] and close>swinglow))// or ((open[2]>ema21[2] or close[2]>ema21[2]) and low<ema21 and high[2]>high[1] and high[3]>high[2] and low<low[1] and low<low[2] and low<low[3]))

//
Inside(position) => high <= high[position] and low >= low[position]
outsidebar = (high >= high[1] and low <= low[1])
barcolor((high <= high[1] and low >= low[1]) ? white : na)
barcolor(hisup==1 and MACD>0 ? lime: hisdown==1 and MACD<0 ? red : hisup==-1 and MACD>0  ? green: orange )
barcolor(bullishpibar or beariskpinbar ?white:na)
secLast = 1
fakey = (high[1] <= high[2] and low[1] >= low[2] and high > high[2] and close >= low[2] and close < high[2]) or (high[2]<=high[3] and low[2]>=low[3] and high[1]>high[2] and close<high[2] and close>low[3] and high-close>0.75*(high-low))// ? red : na
fakey1 = (high[1] <= high[2] and low[1] >= low[2] and low < low[2] and close > low[2] and close <= high[1]) or (high[2]<=high[3] and low[2]>=low[3] and low[1]<low[2] and close>low[2] and close<high[3] and close-low>0.75*(high-low)) //? lime : na
barcolor(fakey or fakey1?white:na)
//plotshape(beariskpinbar and (not fakey or (fakey and outsidebar)) , title= "Pinbar Bearisk", location=location.abovebar, color=white, style=shape.arrowdown, text="Pinbar",size=size.tiny)
//plotshape(bullishpibar  and (not fakey1 or (fakey1 and outsidebar)), title= "Pinbar Bullish", location=location.belowbar, color=white, style=shape.arrowup, text="Pinbar",size=size.tiny)

//insidebar= Inside(secLast)? #FF9800: na
onewhitesoliderbear=  close<open and high[1]-close>0.5*(high[1]-low[1]) and (open-close)>2/3*(high-low) and (high[1]>ema21[1] or high>ema21) and open[1]<ema21[1] and close-low<(high-close)*0.3 and (open[2]<ema21[2] or close[2]<ema21[2]) and close<ema21 and low[2]<low[1] and low[3]<low[2]
onewwhitesoliderbull=  close>open and close-low[1]>0.5*(high[1]-low[1]) and (close-open)>2/3*(high-low) and (low[1]<ema21[1] or low<ema21) and open[1]>ema21[1] and high-close<(close-low)*0.3  and (open[2]>ema21[2] or close[2]>ema21[2]) and close>ema21 and high[2]>high[1] and high[3]>high[2]
onewhitesoliderbear1=  close<open and high[1]-close>0.5*(high[1]-low[1]) and (open-close)>2/3*(high-low) and (high[1]>pacC[1] or high>pacC) and open[1]<pacC[1] and close-low<(high-close)*0.3 and (open[2]<pacC[2] or close[2]<pacC[2]) and close<pacC and low[2]<low[1] and low[3]<low[2]
onewwhitesoliderbull1=  close>open and close-low[1]>0.5*(high[1]-low[1]) and (close-open)>2/3*(high-low) and (low[1]<pacC[1] or low<pacC) and open[1]>pacC[1] and high-close<(close-low)*0.3  and (open[2]>pacC[2] or close[2]>pacC[2]) and close>pacC and high[2]>high[1] and high[3]>high[2]
onewhitesoliderbear2=  close<open and high[1]-close>0.5*(high[1]-low[1]) and (open-close)>2/3*(high-low) and (high[1]>signalMA[1] or high>signalMA) and open[1]<signalMA[1] and close-low<(high-close)*0.3 and (open[2]<signalMA[2] or close[2]<signalMA[2]) and close<signalMA and low[2]<low[1] and low[3]<low[2]
onewwhitesoliderbull2=  close>open and close-low[1]>0.5*(high[1]-low[1]) and (close-open)>2/3*(high-low) and (low[1]<signalMA[1] or low<signalMA) and open[1]>signalMA[1] and high-close<(close-low)*0.3  and (open[2]>signalMA[2] or close[2]>signalMA[2]) and close>signalMA and high[2]>high[1] and high[3]>high[2]

//plotshape(beariskpinbar and (not fakey or (fakey and outsidebar)) and not onewhitesoliderbear and not onewwhitesoliderbull, title= "Pinbar Bearisk", location=location.abovebar, color=white, style=shape.arrowdown, text="Pinbar",size=size.tiny)
//plotshape(bullishpibar  and (not fakey1 or (fakey1 and outsidebar)) and not onewwhitesoliderbull and not onewhitesoliderbear, title= "Pinbar Bullish", location=location.belowbar, color=white, style=shape.arrowup, text="Pinbar",size=size.tiny)

//

//pinbar=(open>ema21 and low<ema21 and close-low>2*(high-close)) or (open[1]>ema21[1] and low[1]<ema21[1] and (close-low[1]>2*(high[1]-close) or close-low>2*(high[1]-close)))? green:na
//pinbar2=(open<ema21 and high>ema21 and high-close>2*(close-low)) or (open[1]<ema21[1] and high[1]>ema21[1] and (high[1]-close>2*(close-low[1]) or high-close>2*(close-low[1])))?orange:na
//plot(ema21)
//bgcolor(insidebar, transp=70)
//bgcolor(fakey, transp=80)
//bgcolor(fakey1, transp=80)
//bgcolor(pinbar, transp=70)
//bgcolor(pinbar2, transp=70)

insidebar = ((high[1] <= high[2] and low[1] >= low[2]) and not(outsidebar))
barcolor(outsidebar and high[1]<=high[2] and low[1]>=low[2]?white:na)
bearishibbf=( insidebar and (high > high[1] and close < high[1]))
//barcolor( bearishibbf ? white : na, 0, true, "Bearish Inside Bar Breakout Failure")
//plotshape(bearishibbf and not fakey, title= "Bearish Inside Bar Breakout Failure", location=location.abovebar, color=white, style=shape.arrowdown, text="InsideBar\nFailBreak",size=size.tiny)

bullishibbf=(insidebar and (low < low[1] and close > low[1]))
//barcolor( bullishibbf ? white : na, 0, true, "Bullish Inside Bar Breakout Failure")
//plotshape(bullishibbf and not fakey1, title= "Bullish Inside Bar Breakout Failure", location=location.belowbar, color=white, style=shape.arrowup, text="InsideBar\nFailBreak",size=size.tiny)
//
barcolor((onewwhitesoliderbull or onewhitesoliderbear) and not insidebar?white:na)
//

// Outsidebar follow Insidebar
///plotshape(outsidebar and ((high[1]<=high[2] and low[1]>=low[2] ) ) and close<ema21 and not beariskpinbar and not bullishpibar, title= "OutsideBar Break InsideBar", location=location.abovebar, color=white, style=shape.arrowdown, text="Outside\nBar",size=size.tiny)
//plotshape(outsidebar and ((high[1]<=high[2] and low[1]>=low[2]) ) and close>ema21 and not beariskpinbar and not bullishpibar, title= "OutsideBar Break InsideBar", location=location.belowbar, color=white, style=shape.arrowup, text="Outside\nBar",size=size.tiny)
//
whitesoldierreversal= ((low[1]<low[2] and low[2]<low[3]) or (high[1]<high[2] and high[2]<high[3])) and low[3]<low[8] and low[8]<ema21[8] and high[2]<ema21[2] and high[1]<ema21[1]  and high[3]<ema21[3] and close-low[1]>(high[1]-close) and (open<close[1] or open<open[1]) and close-open>0.3*(high-low) and high-close<0.5*(close-open)
blackcrowreversal= ((high[1]>high[2] and high[2]>high[3]) or (low[1]>low[2] and low[2]>low[3])) and high[3]>high[8] and high[8]>ema21[8] and low[2]>ema21[2] and low[1]>ema21[1] and low[3]>ema21[3] and close-low[1]<(high[1]-close) and (open>close[1] or open>open[1]) and open-close>0.3*(high-low) and close-low<0.5*(open-close)
// Black Crow and White Soldier Reversal
//plotshape(whitesoldierreversal, title= "Piercing Pattern", location=location.belowbar, color=white, style=shape.arrowup, text="Piercing",size=size.tiny)
//plotshape(blackcrowreversal, title= "Dark Cloud Cover", location=location.abovebar, color=white, style=shape.arrowdown, text="Dark\nCloud",size=size.tiny)
barcolor(blackcrowreversal or whitesoldierreversal?white:na)
//
pinbarreversalbull= ((low[1]<low[2] and low[2]<low[3]) or (high[1]<high[2] and high[2]<high[3])) and low[3]<low[8] and low[8]<ema21[8] and high[2]<ema21[2] and high[1]<ema21[1]  and high[3]<ema21[3] and close-open<(high-low)/3 and open-close<(high-low)/3 and high-close<close-low and low<low[1]
pinbarreversalbear= ((high[1]>high[2] and high[2]>high[3])or (low[1]>low[2] and low[2]>low[3])) and high[3]>high[8] and high[8]>ema21[8] and low[2]>ema21[2] and low[1]>ema21[1] and low[3]>ema21[3] and close-open<(high-low)/3 and open-close<(high-low)/3 and high-close>close-low and high>high[1]
// Pinbar Reversal
//plotshape(pinbarreversalbull and not whitesoldierreversal and not fakey1 and not blackcrowreversal and not whitesoldierreversal and not bullishpibar, title= "Bullish Pinbar Reversal", location=location.belowbar, color=white, style=shape.arrowup, text="Pinbar",size=size.tiny)
//plotshape(pinbarreversalbear and not blackcrowreversal and not fakey and not whitesoldierreversal and not blackcrowreversal and not beariskpinbar, title= "Bearisk Pinbar Reversal", location=location.abovebar, color=white, style=shape.arrowdown, text="Pinbar",size=size.tiny)
barcolor(pinbarreversalbear or pinbarreversalbull?white:na)
// Fakey
plotshape(fakey and (not outsidebar or not (high[1]<=high[2] and low[1]>=low[2]) )  and not blackcrowreversal   , title= "Fakey Bearisk", location=location.abovebar, color=white, style=shape.arrowdown, text="Fakey",size=size.tiny)
plotshape(fakey1 and (not outsidebar or not (high[1]<=high[2] and low[1]>=low[2]) )  and not whitesoldierreversal , title= "Fakey Bullish", location=location.belowbar, color=white, style=shape.arrowup, text="Fakey",size=size.tiny)
// Pinbar Fake Breakout
//plotshape(beariskpinbar and (not fakey or (fakey and outsidebar)) and not onewhitesoliderbear and not onewwhitesoliderbull and not blackcrowreversal and not whitesoldierreversal and not fakey, title= "Pinbar Bearisk", location=location.abovebar, color=white, style=shape.arrowdown, text="FalseBreak\nPinbar",size=size.tiny)
//plotshape(bullishpibar  and (not fakey1 or (fakey1 and outsidebar)) and not onewwhitesoliderbull and not onewhitesoliderbear and not whitesoldierreversal and not blackcrowreversal and not fakey1, title= "Pinbar Bullish", location=location.belowbar, color=white, style=shape.arrowup, text="FalseBreak\nPinbar",size=size.tiny)
// Black Crow and White Soldier Continuation
//plotshape((onewhitesoliderbear or onewhitesoliderbear1 or onewhitesoliderbear2) and not insidebar and not fakey and not fakey1  and not outsidebar, title= "One solider Bearisk", location=location.abovebar, color=white, style=shape.arrowdown, text="Black\nCrow",size=size.tiny)
//plotshape((onewwhitesoliderbull or onewwhitesoliderbull1 or onewwhitesoliderbull2)and not insidebar and not fakey and not fakey1  and not outsidebar, title= "One solider Bullish", location=location.belowbar, color=white, style=shape.arrowup, text="White\nSoldier",size=size.tiny)
// Pinbar Continuation
pinbarresistance= (close-open<(high-low)/3 and open-close<(high-low)/3) and high-close>(close-low) and high-open>(open-low) and  ((open[2]<ema21[2] or close[2]<ema21[2]) and high>ema21 and low[2]<low[1] and low[3]<low[2] and high>high[1] and high>high[2] and high>high[3])
pinbarsupport=(close-open<(high-low)/3 and open-close<(high-low)/3) and close-low>(high-close) and open-low>(high-open) and ((open[2]>ema21[2] or close[2]>ema21[2]) and low<ema21 and high[2]>high[1] and high[3]>high[2] and low<low[1] and low<low[2] and low<low[3])
//plotshape(pinbarresistance and (not fakey or (fakey and outsidebar)) and not onewhitesoliderbear and not onewwhitesoliderbull and not blackcrowreversal and not whitesoldierreversal and not fakey and not beariskpinbar, title= "Pinbar Bearisk", location=location.abovebar, color=white, style=shape.arrowdown, text="Pinbar",size=size.tiny)
//plotshape(pinbarsupport  and (not fakey1 or (fakey1 and outsidebar)) and not onewwhitesoliderbull and not onewhitesoliderbear and not whitesoldierreversal and not blackcrowreversal and not fakey1 and not bullishpibar, title= "Pinbar Bullish", location=location.belowbar, color=white, style=shape.arrowup, text="Pinbar",size=size.tiny)
// barcolor

onlybuy=input(false)
onlysell=input(false)//
conmua= hisup==1 and MACD>0?1: (hisdown[1]==1 and MACD[1]<0 and pacC[1]>signalMA[1]) or (n1[2]<n1[3] and pacC[1]>signalMA[1])?-1:nz(conmua[1],1)
conmua1= conmua==1 and (hisdown==1 and MACD<0 and pacC>signalMA) or (n1[1]<n1[2] and pacC>signalMA)?1:(close[1]>n1[1] and pacC[1]>signalMA[1] and open[1]<n1[1] and close[1]>pacC[1]) or crossunder(pacC,signalMA) ?-1:nz(conmua1[1],1)
conmua2=conmua1==1 and hisup==1 and MACD>0 and close>n1?1: high[1]<high[3] and high[2]<high[3]?-1:nz(conmua2[1],1)
conmua3=conmua2==1 and high<high[2] and high[1]<high[2]?1: (close[1]>swinghigh[1] and hisup[1]==1 and MACD[1]>0) or ( MACD<0)?-1:nz(conmua3[1],1)
mua=conmua3==1 and hisup==1 and MACD>0 and conmua2==-1 and conmua1==-1
mua2= conmua1==1 and ( close>n1 and pacC>signalMA and open<n1 and close>pacC) and conmua[1]==-1
//if(mua2 and onlysell==false)
//    strategy.entry("Buy",strategy.long)
conban=hisdown==1 and MACD<0?1:(hisup[1]==1 and MACD[1]>0 and pacC[1]<signalMA[1]) or (n1[2]>n1[3] and pacC[1]<signalMA[1])?-1:nz(conban[1],1)
conban1= conban==1 and (hisup==1 and MACD>0 and pacC<signalMA) or (n1[1]>n1[2] and pacC<signalMA)?1:( close[1]<n1[1] and pacC[1]<signalMA[1] and open[1]>n1[1] and close[1]<pacC[1]) or crossover(pacC,signalMA)?-1:nz(conban1[1],1)
conban2=conban1==1 and hisdown==1 and MACD<0 and close<n1?1: low[1]>low[3] and low[2]>low[3]?-1:nz(conban2[1],1)
conban3=conban2==1 and low[1]>low[2] and low>low[2]?1: (close[1]<swinglow[1] and hisdown[1]==1 and MACD[1]<0) or ( MACD>0)?-1:nz(conban3[1],1)
ban=conban3==1 and hisdown==1 and MACD<0 and conban2==-1 
ban2=conban1==1 and ( close<n1 and pacC<signalMA and open>n1 and close<pacC) and conban[1]==-1
//if(ban2 and onlybuy==false)
//    strategy.entry("Sell",strategy.short)  
plotshape(conmua1==1 and conmua[1]==-1, style= shape.triangleup, color = lime, location = location.bottom,size=size.tiny)
plotshape(conban1==1 and conban[1]==-1, style= shape.triangledown, color = red, location = location.bottom,size=size.tiny)
plotshape(mua2, style= shape.labelup, color = lime, location = location.bottom,size=size.tiny)
plotshape(ban2, style= shape.labeldown, color = red, location = location.bottom,size=size.tiny)
// TP and SL/
SL = input(defval=50.00, title="Chốt lời (Pip)", type=float, step=1)
rr= input(defval=20.00,title="Cắt lỗ (Pip)",type=float, step=1)
useTPandSL = input(defval = true, title = "Sử dụng chốt lời và cắt lỗ?")
Stop = rr*10
Take=SL*10
Q = 100
if(useTPandSL)
    strategy.exit("ExitBuy", "Buy", qty_percent=Q, profit= Take, loss=Stop)
    strategy.exit("ExitSell", "Sell", qty_percent=Q, profit= Take, loss=Stop)


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