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Estrategia de negociación de tendencias adaptativas de múltiples indicadores

El autor:¿ Qué pasa?, Fecha: 2023-12-28 17:59:58
Las etiquetas:

Resumen general

La estrategia de negociación de tendencia adaptativa de múltiples indicadores es una estrategia de negociación cuantitativa que integra señales de múltiples indicadores técnicos. Puede identificar automáticamente la dirección de tendencia del mercado y generar señales de negociación con diferentes configuraciones basadas en diferentes condiciones del mercado.

La estrategia combina indicadores que incluyen promedios móviles, Stoch RSI, WaveTrend, etc. para formar señales comerciales. También cambia las configuraciones de parámetros de cada indicador dinámicamente basándose en el juicio de la tendencia general del mercado. Esto permite el comercio adaptativo bajo diferentes entornos de mercado.

En general, la estrategia tiene fuertes capacidades de seguimiento de tendencias y adaptabilidad. Puede reducir la frecuencia de operaciones y capturar grandes ganancias de tendencias unidireccionales.

Estrategia lógica

El juicio de la tendencia

La estrategia utiliza una media móvil exponencial de 300 períodos para determinar la dirección general de la tendencia.

Cuando el precio rompe la línea EMA, desencadena una señal de venta inversa para bloquear las posiciones largas anteriores.

Señales comerciales

La estrategia adopta diferentes configuraciones de parámetros para generar señales de negociación bajo diferentes tendencias del mercado.

Las señales de negociación bajo una tendencia alcista incluyen:

Medios cruzados móviles y posiciones
Indicadores del índice de volatilidad de las acciones
Señales de tendencia de onda

Las señales de negociación bajo una tendencia a la baja incluyen:

Promedio móvil transversal inferior y posiciones
Indicadores del índice de volatilidad de las acciones
Señales de tendencia de onda

Los usuarios pueden habilitar o deshabilitar diferentes señales de diferentes indicadores para implementar una lógica de negociación personalizada.

Cuando la puntuación total cumple con el umbral establecido por los usuarios, se activarán señales comerciales reales.

Obtener ganancias y dejar de perder

La estrategia proporciona múltiples formas de obtener ganancias y detener pérdidas, incluida la obtención de ganancias porcentuales, el detener pérdidas porcentuales, la ruptura de precios, etc. Estos parámetros también cambian dinámicamente en función de las diferentes tendencias del mercado.

Si no se cumplen los requisitos de ganancia, la estrategia también proporciona una forma de cerrar directamente las posiciones para controlar el período de tenencia y los riesgos.

Análisis de ventajas

La estrategia de negociación de tendencias adaptativas de múltiples indicadores tiene las siguientes ventajas:

Mejora de la capacidad de identificación de tendencias: la estrategia utiliza la EMA y otros indicadores para determinar las tendencias, evitando ser engañados por falsas rupturas o correcciones a corto plazo en el mercado.
Los usuarios pueden activar o desactivar diferentes señales de diferentes indicadores para personalizar sus propias reglas de negociación.
La estrategia puede identificar automáticamente diferentes condiciones de mercado y adoptar diferentes parámetros para generar señales comerciales sin intervención manual.
Métodos múltiples de toma de ganancias y stop loss La estrategia proporciona abundantes herramientas de toma de ganancias y stop loss para bloquear las ganancias y controlar los riesgos.
Solo cuando las tendencias son claras se puede reducir el comercio innecesario de ida y vuelta.

Análisis de riesgos

La estrategia de negociación de tendencias adaptativas de múltiples indicadores también presenta los siguientes riesgos:

Las estrategias de negociación de tendencias no pueden capturar las reversiones de precios a tiempo y pueden perder oportunidades de ganancia a corto plazo.
Cuando los precios atraviesan la línea EMA para generar señales pero fallan rápidamente, llevará a pérdidas.
El riesgo de ajuste de parámetros: los usuarios necesitan una comprensión suficiente del significado de cada parámetro para lograr resultados óptimos de backtesting.
El riesgo de identificación de tendencias: la estrategia también puede identificar erróneamente las tendencias en condiciones extremas de mercado.
Riesgo de fallo de los indicadores Algunas señales de los indicadores pueden tener un rendimiento inferior en diferentes productos y marcos de tiempo.

Algunos de los riesgos se pueden resolver ajustando adecuadamente la longitud de la EMA, ampliando el rango de stop loss, etc.

Direcciones de optimización

La estrategia también puede actualizarse en los siguientes aspectos:

Añadir un módulo de optimización de parámetros dinámicos basado en el aprendizaje automático para que los parámetros puedan optimizarse automáticamente en función de los cambios en el mercado en tiempo real, en lugar de valores fijos preestablecidos.
Agregue el mecanismo de votación del conjunto del modelo. Combine los juicios de múltiples modelos y seleccione el óptimo como señal final.
Optimizar el mecanismo de stop loss. Puede intentar dejar atrás la stop loss, mover la stop loss para bloquear mejor las ganancias y controlar los riesgos.
Personalizar los pesos de las señales. Permitir a los usuarios establecer diferentes pesos para diferentes señales en lugar de una lógica simple de 0/1. Lograr una combinación ponderada de señales de indicador.

Resumen de las actividades

La estrategia de negociación de tendencias adaptativa multiindicador integra métodos que incluyen el juicio de tendencias, la fusión de múltiples señales de indicadores, el cambio de parámetros dinámicos. Como estrategia de negociación cuantitativa, tiene una gran adaptabilidad y personalizabilidad. Puede reducir el comercio innecesario mientras maximiza la captura de tendencias unilaterales. La estrategia es un representante destacado del comercio cuantitativo y merece una investigación y aplicación en profundidad.

/*backtest
start: 2022-12-21 00:00:00
end: 2023-12-27 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

////////////////////////////////////////////////////////////////////////////////
//START▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

c="███████╗ █████╗  █████╗   ██╗   ██╗ █████╗ ██╗   ██╗ ██████╗ ██╗  ██╗███╗  ██╗"
o="╚════██║██╔══██╗██╔══██╗  ██║   ██║██╔══██╗██║   ██║██╔════╝ ██║  ██║████╗ ██║"
d="  ███╔═╝███████║██║  ╚═╝  ╚██╗ ██╔╝███████║██║   ██║██║  ██╗ ███████║██╔██╗██║"
e="██╔══╝  ██╔══██║██║  ██╗   ╚████╔╝ ██╔══██║██║   ██║██║  ╚██╗██╔══██║██║╚████║"
r="███████╗██║  ██║╚█████╔╝    ╚██╔╝  ██║  ██║╚██████╔╝╚██████╔╝██║  ██║██║ ╚███║"
s="╚══════╝╚═╝  ╚═╝ ╚════╝      ╚═╝   ╚═╝  ╚═╝ ╚═════╝  ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚══╝"

//@version=5
strategy("Instrument-Z", overlay=true, initial_capital=1600, default_qty_type=strategy.percent_of_equity, default_qty_value=90, commission_value=0.075)

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//BAR COLOR AND EMA AREA▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//BAR COLOR
bullCcolor = close > open ? #80cbc4 : na
bearCcolor = close < open ? #ef9a9a : na
bullC = close > open
bearC = close < open
bullE = bullC and bearC[1] and close > open[1] ? color.new(#ffffff, 100) : bullCcolor
bearE = bearC and bullC[1] and close < open[1] ? color.new(#ffffff, 100) : bearCcolor
barcolor(bullE)
barcolor(bearE)

//EMA 1
len1 = 10
ema1 = ta.ema(close, len1)
//EMA 2
len2 = 100
ema2 = ta.ema(close, len2)
//EMA COLORS
emacolor = ema1 > ema2 ? #26a69a : #ef5350
//EMA PLOTS
ema1line = plot(ema1, title="EMA 1", color=color.new(#ffffff, 100), editable=false)
ema2line = plot(ema2, title="EMA 2", color=color.new(#ffffff, 100), editable=false)
fill(ema1line, ema2line, title="EMA Area", color=color.new(emacolor, 90))

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//INITIAL OPTIONS▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

src = input.source(defval=close, title="Source", group="SETUP GUIDE AT YouTube.com/c/ZacVaughnYT")
//tfr = input.timeframe("", title="Resolution")
//request.security(syminfo.tickerid, tfr, expression, barmerge.gaps_on)

//POSITIONS
TradeDir = input.string("LONG", title="Trade Direction", options=["LONG", "SHORT"], group="POSITIONS")
TrendTrade = input(false, "Only Trade with Trend", group="POSITIONS")

//UPTREND PROFIT AND LOSS
UTsellProf = input(true, title="Only Sell in Profit", group="UPTREND 🠕 PROFIT & LOSS")
UTminProf = input.float(title="Minimum Profit (%)", defval=3.6, minval=0, maxval=100,  step=.1, group="UPTREND 🠕 PROFIT & LOSS") / 100
UTuseTP = input(true,  title="Use Take Profit", group="UPTREND 🠕 PROFIT & LOSS")
UTTPperc = input.float(title="Take Profit (%)", defval=11.5, minval=0, maxval=1000, step=.1, group="UPTREND 🠕 PROFIT & LOSS") / 100
UTuseSL = input(true,  title="Use Stop Loss", group="UPTREND 🠕 PROFIT & LOSS")
UTSLperc = input.float(title="Stop Loss (%)", defval=-7.5, minval=-50, maxval=0, step=.1, group="UPTREND 🠕 PROFIT & LOSS") / 100
UTuseTE = input(false, title="Use Trade Expiration", group="UPTREND 🠕 PROFIT & LOSS")
UTTEbars = input.int(title="Expire After (bars)", defval=200, minval=1, maxval=10000, group="UPTREND 🠕 PROFIT & LOSS")

//DOWNTREND PROFIT AND LOSS
DTsellProf = input(true, title="Only Sell in Profit", group="DOWNTREND 🠗 PROFIT & LOSS")
DTminProf = input.float(title="Minimum Profit (%)", defval=1, minval=0, maxval=100,  step=.1, group="DOWNTREND 🠗 PROFIT & LOSS") / 100
DTuseTP = input(false,  title="Use Take Profit", group="DOWNTREND 🠗 PROFIT & LOSS")
DTTPperc = input.float(title="Take Profit (%)", defval=15, minval=0, maxval=1000, step=.1, group="DOWNTREND 🠗 PROFIT & LOSS") / 100
DTuseSL = input(true,  title="Use Stop Loss", group="DOWNTREND 🠗 PROFIT & LOSS")
DTSLperc = input.float(title="Stop Loss (%)", defval=-7.4, minval=-50, maxval=0, step=.1, group="DOWNTREND 🠗 PROFIT & LOSS") / 100
DTuseTE = input(false, title="Use Trade Expiration", group="DOWNTREND 🠗 PROFIT & LOSS")
DTTEbars = input.int(title="Expire After (bars)", defval=200, minval=1, maxval=10000, group="DOWNTREND 🠗 PROFIT & LOSS")

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//TREND MOVING AVERAGE▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//TREND MA
ma(source, length, type) =>
     type == "SMA"  ? ta.sma(source, length) :
     type == "EMA"  ? ta.ema(source, length) :
     type == "RMA"  ? ta.rma(source, length) :
     type == "HMA"  ? ta.wma(2*ta.wma(source, length/2)-ta.wma(source, length), math.floor(math.sqrt(length))) :
     type == "WMA"  ? ta.wma(source, length) :
     type == "VWMA" ? ta.vwma(source, length) :
     na
mat_type   = input.string("EMA", "Trend MA", inline="Trend MA", options=["SMA", "EMA", "RMA", "HMA", "WMA", "VWMA"], group="POSITIONS")
mat_length = input.int(300, "", inline="Trend MA", minval=1, step=5, group="POSITIONS")
mat = ma(src, mat_length, mat_type)
matcolor = mat > mat[1] ? #26a69a : #ef5350
matline = plot(mat, color=color.new(matcolor, 50), linewidth=2, title="Trend MA")
matRevS = input(false, title="Sell After Trend Reverses", group="POSITIONS")
matRevSbars = input.int(10, "Sell After (bars)", group="POSITIONS")

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//CROSSING MOVING AVERAGES▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//UPTREND OPTIONS
//Cross
UTUsemaX = input(false, "Moving Average Cross", group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTReqmaXscore = UTUsemaX ? 1 : 0
//Position
UTUsemaP = input(true, "Moving Average Position", group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTReqmaPscore = UTUsemaP ? 1 : 0
//Histogram
UTUsemaH = input(false, "MA Histogram Reverse", group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTReqmaHscore = UTUsemaH ? 1 : 0

//DOWNTREND OPTIONS
//Cross
DTUsemaX = input(false, "Moving Average Cross", group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTReqmaXscore = DTUsemaX ? 1 : 0
//Position
DTUsemaP = input(true, "Moving Average Position", group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTReqmaPscore = DTUsemaP ? 1 : 0
//Histogram
DTUsemaH = input(false, "MA Histogram Reverse", group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTReqmaHscore = DTUsemaH ? 1 : 0

//UPTREND INPUTS
//MA1
UTma1_type   = input.string("RMA", "MA 1", inline="UT MA 1", options=["SMA", "EMA", "RMA", "HMA", "WMA", "VWMA"], group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTma1_length = input.int(7, "", inline="UT MA 1", minval=1, group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTma1 = ma(src, UTma1_length, UTma1_type)
UTma1Color = mat > mat[1] ? color.new(color.blue, 35) : color.new(color.blue, 100)
UTma1line = plot(UTma1, color=UTma1Color, title="UT MA 1")
//MA2
UTma2_type   = input.string("HMA", "MA 2", inline="UT MA 2", options=["SMA", "EMA", "RMA", "HMA", "WMA", "VWMA"], group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTma2_length = input.int(54, "", inline="UT MA 2", minval=1, group="UPTREND 🠕 MOVING AVERAGE SIGNALS")
UTma2 = ma(src, UTma2_length, UTma2_type)
UTma2Color = mat > mat[1] ? color.new(color.purple, 35) : color.new(color.purple, 100)
UTma2line = plot(UTma2, color=UTma2Color, title="UT MA 2")
UTmahist = UTma1 - UTma2

//DOWNTREND INPUTS
//MA1
DTma1_type   = input.string("RMA", "MA 1", inline="DT MA 1", options=["SMA", "EMA", "RMA", "HMA", "WMA", "VWMA"], group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTma1_length = input.int(7, "", inline="DT MA 1", minval=1, group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTma1 = ma(src, DTma1_length, DTma1_type)
DTma1Color = mat > mat[1] ? color.new(color.blue, 100) : color.new(color.blue, 35)
DTma1line = plot(DTma1, color=DTma1Color, title="DT MA 1")
//MA2
DTma2_type   = input.string("HMA", "MA 2", inline="DT MA 2", options=["SMA", "EMA", "RMA", "HMA", "WMA", "VWMA"], group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTma2_length = input.int(54, "", inline="DT MA 2", minval=1, group="DOWNTREND 🠗 MOVING AVERAGE SIGNALS")
DTma2 = ma(src, DTma2_length, DTma2_type)
DTma2Color = mat > mat[1] ? color.new(color.purple, 100) : color.new(color.purple, 35)
DTma2line = plot(DTma2, color=DTma2Color, title="DT MA 2")
DTmahist = DTma1 - DTma2

//UPTREND SIGNALS
UTmaXup = UTUsemaX and UTma1 > UTma2 and UTma1[1] < UTma2[1] ? 1 : 0
UTmaXdn = UTUsemaX and UTma1 < UTma2 and UTma1[1] > UTma2[1] ? 1 : 0
UTmaPup = UTUsemaP and UTma1 > UTma2 ? 1 : 0
UTmaPdn = UTUsemaP and UTma1 < UTma2 ? 1 : 0
UTmaHup = UTUsemaH and UTmahist > UTmahist[1] and UTmahist[1] < UTmahist[2] ? 1 : 0
UTmaHdn = UTUsemaH and UTmahist < UTmahist[1] and UTmahist[1] > UTmahist[2] ? 1 : 0

//DOWNTREND SIGNALS
DTmaXup = DTUsemaX and DTma1 > DTma2 and DTma1[1] < DTma2[1] ? 1 : 0
DTmaXdn = DTUsemaX and DTma1 < DTma2 and DTma1[1] > DTma2[1] ? 1 : 0
DTmaPup = DTUsemaP and DTma1 > DTma2 ? 1 : 0
DTmaPdn = DTUsemaP and DTma1 < DTma2 ? 1 : 0
DTmaHup = DTUsemaH and DTmahist > DTmahist[1] and DTmahist[1] < DTmahist[2] ? 1 : 0
DTmaHdn = DTUsemaH and DTmahist < DTmahist[1] and DTmahist[1] > DTmahist[2] ? 1 : 0

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//STOCHASTIC RSI▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//UPTREND OPTIONS
//Cross
UTUseSrsiX = input(false, "Stoch RSI Cross Signal", group="UPTREND 🠕 STOCH RSI SIGNALS")
UTReqSrsiXscore = UTUseSrsiX ? 1 : 0
//Level
UTUseSrsiL = input(true, "Use Buy/Sell Levels", group="UPTREND 🠕 STOCH RSI SIGNALS")
UTsablevelb = input.int(61, "Buy Below Level", group="UPTREND 🠕 STOCH RSI SIGNALS")
UTsablevels = input.int(13, "Sell Above Level", group="UPTREND 🠕 STOCH RSI SIGNALS")
UTReqSrsiLscore = UTUseSrsiL ? 1 : 0
//Position
UTUseSrsiP = input(false, "Use Stoch RSI Position", group="UPTREND 🠕 STOCH RSI SIGNALS")
UTReqSrsiPscore = UTUseSrsiP ? 1 : 0
//Divergence
UTUseSrsiD = input(false, "Stoch RSI Divergence", group="UPTREND 🠕 STOCH RSI SIGNALS")
UTReqSrsiDscore = UTUseSrsiD ? 1 : 0

//DOWNTREND OPTIONS
//Cross
DTUseSrsiX = input(false, "Stoch RSI Cross Signal", group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTReqSrsiXscore = DTUseSrsiX ? 1 : 0
//Level
DTUseSrsiL = input(true, "Use Buy/Sell Levels", group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTsablevelb = input.int(61, "Buy Below Level", group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTsablevels = input.int(13, "Sell Above Level", group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTReqSrsiLscore = DTUseSrsiL ? 1 : 0
//Position
DTUseSrsiP = input(false, "Use Stoch RSI Position", group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTReqSrsiPscore = DTUseSrsiP ? 1 : 0
//Divergence
DTUseSrsiD = input(false, "Stoch RSI Divergence", group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTReqSrsiDscore = DTUseSrsiD ? 1 : 0

//UPTREND INPUTS
//STOCH RSI
UTlengthRSI = input.int(12, "RSI Length", minval=1, group="UPTREND 🠕 STOCH RSI SIGNALS")
UTlengthStoch = input.int(20, "Stochastic Length", minval=1, group="UPTREND 🠕 STOCH RSI SIGNALS")
UTrsi1 = ta.rsi(src, UTlengthRSI)
UTrk = ta.sma(ta.stoch(UTrsi1, UTrsi1, UTrsi1, UTlengthStoch), 3)
UTrd = ta.sma(UTrk, 3)

//DOWNTREND INPUTS
//STOCH RSI
DTlengthRSI = input.int(12, "RSI Length", minval=1, group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTlengthStoch = input.int(20, "Stochastic Length", minval=1, group="DOWNTREND 🠗 STOCH RSI SIGNALS")
DTrsi1 = ta.rsi(src, DTlengthRSI)
DTrk = ta.sma(ta.stoch(DTrsi1, DTrsi1, DTrsi1, DTlengthStoch), 3)
DTrd = ta.sma(DTrk, 3)

//UPTREND DIVERGENCE
inRange(cond) =>
	bars = ta.barssince(cond == true)
	5 <= bars and bars <= 60
osc2 = UTrk
//Pivots
plFound2 = na(ta.pivotlow(osc2, 5, 2)) ? false : true
phFound2 = na(ta.pivothigh(osc2, 5, 2)) ? false : true
//Regular Bullish
oscHL2 = osc2[2] > ta.valuewhen(plFound2, osc2[2], 1) and inRange(plFound2[1])
priceLL2 = low[2] < ta.valuewhen(plFound2, low[2], 1)
bullCond2 = priceLL2 and oscHL2 and plFound2
//Hidden Bullish
oscLL2 = osc2[2] < ta.valuewhen(plFound2, osc2[2], 1) and inRange(plFound2[1])
priceHL2 = low[2] > ta.valuewhen(plFound2, low[2], 1)
hiddenBullCond2 = priceHL2 and oscLL2 and plFound2
//Regular Bearish
oscLH2 = osc2[2] < ta.valuewhen(phFound2, osc2[2], 1) and inRange(phFound2[1])
priceHH2 = high[2] > ta.valuewhen(phFound2, high[2], 1)
bearCond2 = priceHH2 and oscLH2 and phFound2
//Hidden Bearish
oscHH2 = osc2[2] > ta.valuewhen(phFound2, osc2[2], 1) and inRange(phFound2[1])
priceLH2 = high[2] < ta.valuewhen(phFound2, high[2], 1)
hiddenBearCond2 = priceLH2 and oscHH2 and phFound2

//DOWNTREND DIVERGENCE
osc3 = DTrk
//Pivots
plFound3 = na(ta.pivotlow(osc3, 5, 2)) ? false : true
phFound3 = na(ta.pivothigh(osc3, 5, 2)) ? false : true
//Regular Bullish
oscHL3 = osc3[2] > ta.valuewhen(plFound3, osc3[2], 1) and inRange(plFound3[1])
priceLL3 = low[2] < ta.valuewhen(plFound3, low[2], 1)
bullCond3 = priceLL3 and oscHL3 and plFound3
//Hidden Bullish
oscLL3 = osc3[2] < ta.valuewhen(plFound3, osc3[2], 1) and inRange(plFound3[1])
priceHL3 = low[2] > ta.valuewhen(plFound3, low[2], 1)
hiddenBullCond3 = priceHL3 and oscLL3 and plFound3
//Regular Bearish
oscLH3 = osc3[2] < ta.valuewhen(phFound3, osc3[2], 1) and inRange(phFound3[1])
priceHH3 = high[2] > ta.valuewhen(phFound3, high[2], 1)
bearCond3 = priceHH3 and oscLH3 and phFound3
//Hidden Bearish
oscHH3 = osc3[2] > ta.valuewhen(phFound3, osc3[2], 1) and inRange(phFound3[1])
priceLH3 = high[2] < ta.valuewhen(phFound3, high[2], 1)
hiddenBearCond3 = priceLH3 and oscHH3 and phFound3

//UPTREND SIGNALS
UTSrsiXup = UTUseSrsiX and UTrk > UTrd and UTrk[1] < UTrd[1] ? 1 : 0
UTSrsiXdn = UTUseSrsiX and UTrk < UTrd and UTrk[1] > UTrd[1] ? 1 : 0
UTSrsiLup = UTUseSrsiL and UTrk < UTsablevelb ? 1 : 0
UTSrsiLdn = UTUseSrsiL and UTrk > UTsablevels ? 1 : 0
UTSrsiPup = UTUseSrsiP and UTrk > UTrd ? 1 : 0
UTSrsiPdn = UTUseSrsiP and UTrk < UTrd ? 1 : 0
UTSrsiDup = UTUseSrsiD and bullCond2 ? 1 : 0
UTSrsiDdn = UTUseSrsiD and bearCond2 ? 1 : 0

//DOWNTREND SIGNALS
DTSrsiXup = DTUseSrsiX and DTrk > DTrd and DTrk[1] < DTrd[1] ? 1 : 0
DTSrsiXdn = DTUseSrsiX and DTrk < DTrd and DTrk[1] > DTrd[1] ? 1 : 0
DTSrsiLup = DTUseSrsiL and DTrk < DTsablevelb ? 1 : 0
DTSrsiLdn = DTUseSrsiL and DTrk > DTsablevels ? 1 : 0
DTSrsiPup = DTUseSrsiP and DTrk > DTrd ? 1 : 0
DTSrsiPdn = DTUseSrsiP and DTrk < DTrd ? 1 : 0
DTSrsiDup = DTUseSrsiD and bullCond3 ? 1 : 0
DTSrsiDdn = DTUseSrsiD and bearCond3 ? 1 : 0

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//WAVETREND▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//UPTREND OPTIONS
//Cross
UTUsewtX = input(false, "WaveTrend Cross", group="UPTREND 🠕 WAVETREND SIGNALS")
UTReqwtXscore = UTUsewtX ? 1 : 0
//Level
UTUsewtL = input(true, "WaveTrend Level", group="UPTREND 🠕 WAVETREND SIGNALS")
UTwablevelb = input.int(82, "Buy Below Level", group="UPTREND 🠕 WAVETREND SIGNALS")
UTwablevels = input.int(15, "Sell Above Level", group="UPTREND 🠕 WAVETREND SIGNALS")
UTReqwtLscore = UTUsewtL ? 1 : 0
//Position
UTUsewtP = input(false, "WaveTrend Position", group="UPTREND 🠕 WAVETREND SIGNALS")
UTReqwtPscore = UTUsewtP ? 1 : 0
//Divergence
UTUsewtD = input(false, "WaveTrend Divergence", group="UPTREND 🠕 WAVETREND SIGNALS")
UTReqwtDscore = UTUsewtD ? 1 : 0

//DOWNTREND OPTIONS
//Cross
DTUsewtX = input(false, "WaveTrend Cross", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTReqwtXscore = DTUsewtX ? 1 : 0
//Level
DTUsewtL = input(false, "WaveTrend Level", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTwablevelb = input.int(0, "Buy Below Level", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTwablevels = input.int(0, "Sell Above Level", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTReqwtLscore = DTUsewtL ? 1 : 0
//Position
DTUsewtP = input(false, "WaveTrend Position", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTReqwtPscore = DTUsewtP ? 1 : 0
//Divergence
DTUsewtD = input(false, "WaveTrend Divergence", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTReqwtDscore = DTUsewtD ? 1 : 0

//UPTREND INPUTS
//WT
UTlenC = input.int(9, title="Channel Length", group="UPTREND 🠕 WAVETREND SIGNALS")
UTlenA = input.int(12, title="Average Length", group="UPTREND 🠕 WAVETREND SIGNALS")
UTap = hlc3 
UTesa = ta.ema(UTap, UTlenC)
UTd1 = ta.ema(math.abs(UTap - UTesa), UTlenC)
UTci = (UTap - UTesa) / (0.015 * UTd1)
UTtci = ta.ema(UTci, UTlenA)
UTwt1 = UTtci
UTwt2 = ta.sma(UTwt1, 4)
UTwthist = UTwt2 - UTwt1

//DOWNTREND INPUTS
//WT
DTlenC = input.int(9, title="Channel Length", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTlenA = input.int(12, title="Average Length", group="DOWNTREND 🠗 WAVETREND SIGNALS")
DTap = hlc3 
DTesa = ta.ema(DTap, DTlenC)
DTd1 = ta.ema(math.abs(DTap - DTesa), DTlenC)
DTci = (DTap - DTesa) / (0.015 * DTd1)
DTtci = ta.ema(DTci, DTlenA)
DTwt1 = DTtci
DTwt2 = ta.sma(DTwt1, 4)
DTwthist = DTwt2 - DTwt1

//UPTREND DIVERGENCE
osc4 = UTwt1
//Pivots
plFound4 = na(ta.pivotlow(osc4, 5, 2)) ? false : true
phFound4 = na(ta.pivothigh(osc4, 5, 2)) ? false : true
//Regular Bullish
oscHL4 = osc4[2] > ta.valuewhen(plFound4, osc4[2], 1) and inRange(plFound4[1])
priceLL4 = low[2] < ta.valuewhen(plFound4, low[2], 1)
bullCond4 = priceLL4 and oscHL4 and plFound4
//Hidden Bullish
oscLL4 = osc4[2] < ta.valuewhen(plFound4, osc4[2], 1) and inRange(plFound4[1])
priceHL4 = low[2] > ta.valuewhen(plFound4, low[2], 1)
hiddenBullCond4 = priceHL4 and oscLL4 and plFound4
//Regular Bearish
oscLH4 = osc4[2] < ta.valuewhen(phFound4, osc4[2], 1) and inRange(phFound4[1])
priceHH4 = high[2] > ta.valuewhen(phFound4, high[2], 1)
bearCond4 = priceHH4 and oscLH4 and phFound4
//Hidden Bearish
oscHH4 = osc4[2] > ta.valuewhen(phFound4, osc4[2], 1) and inRange(phFound4[1])
priceLH4 = high[2] < ta.valuewhen(phFound4, high[2], 1)
hiddenBearCond4 = priceLH4 and oscHH4 and phFound4

//DOWNTREND DIVERGENCE
osc5 = DTwt1
//Pivots
plFound5 = na(ta.pivotlow(osc5, 5, 2)) ? false : true
phFound5 = na(ta.pivothigh(osc5, 5, 2)) ? false : true
//Regular Bullish
oscHL5 = osc5[2] > ta.valuewhen(plFound5, osc5[2], 1) and inRange(plFound5[1])
priceLL5 = low[2] < ta.valuewhen(plFound5, low[2], 1)
bullCond5 = priceLL5 and oscHL5 and plFound5
//Hidden Bullish
oscLL5 = osc5[2] < ta.valuewhen(plFound5, osc5[2], 1) and inRange(plFound5[1])
priceHL5 = low[2] > ta.valuewhen(plFound5, low[2], 1)
hiddenBullCond5 = priceHL5 and oscLL5 and plFound5
//Regular Bearish
oscLH5 = osc5[2] < ta.valuewhen(phFound5, osc5[2], 1) and inRange(phFound5[1])
priceHH5 = high[2] > ta.valuewhen(phFound5, high[2], 1)
bearCond5 = priceHH5 and oscLH5 and phFound5
//Hidden Bearish
oscHH5 = osc5[2] > ta.valuewhen(phFound5, osc5[2], 1) and inRange(phFound5[1])
priceLH5 = high[2] < ta.valuewhen(phFound5, high[2], 1)
hiddenBearCond5 = priceLH5 and oscHH5 and phFound5

//UPTREND SIGNALS
UTwtXup = UTUsewtX and UTwt1 > UTwt2 and UTwt1[1] < UTwt2[1] and UTwt1 < 0 ? 1 : 0
UTwtXdn = UTUsewtX and UTwt1 < UTwt2 and UTwt1[1] > UTwt2[1] and UTwt1 > 0 ? 1 : 0
UTwtLup = UTUsewtL and UTwt1 < UTwablevelb ? 1 : 0
UTwtLdn = UTUsewtL and UTwt1 > UTwablevels ? 1 : 0
UTwtPup = UTUsewtP and UTwt1 > UTwt2 ? 1 : 0
UTwtPdn = UTUsewtP and UTwt1 < UTwt2 ? 1 : 0
UTwtDup = UTUsewtD and bullCond4 ? 1 : 0
UTwtDdn = UTUsewtD and bearCond4 ? 1 : 0

//DOWNTREND SIGNALS
DTwtXup = DTUsewtX and DTwt1 > DTwt2 and DTwt1[1] < DTwt2[1] and DTwt1 < 0 ? 1 : 0
DTwtXdn = DTUsewtX and DTwt1 < DTwt2 and DTwt1[1] > DTwt2[1] and DTwt1 > 0 ? 1 : 0
DTwtLup = DTUsewtL and DTwt1 < DTwablevelb ? 1 : 0
DTwtLdn = DTUsewtL and DTwt1 > DTwablevels ? 1 : 0
DTwtPup = DTUsewtP and DTwt1 > DTwt2 ? 1 : 0
DTwtPdn = DTUsewtP and DTwt1 < DTwt2 ? 1 : 0
DTwtDup = DTUsewtD and bullCond5 ? 1 : 0
DTwtDdn = DTUsewtD and bearCond5 ? 1 : 0

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//COLLECT SIGNALS▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//UT REQUIRED SCORES
UTReqScore = UTReqmaXscore + UTReqmaPscore + UTReqmaHscore + UTReqSrsiXscore + UTReqSrsiLscore + UTReqSrsiPscore + UTReqSrsiDscore + UTReqwtXscore + UTReqwtLscore + UTReqwtPscore + UTReqwtDscore
//DT REQUIRED SCORES
DTReqScore = DTReqmaXscore + DTReqmaPscore + DTReqmaHscore + DTReqSrsiXscore + DTReqSrsiLscore + DTReqSrsiPscore + DTReqSrsiDscore + DTReqwtXscore + DTReqwtLscore + DTReqwtPscore + DTReqwtDscore

//UT SIGNAL SCORES
UTSigB = UTmaXup + UTmaPup + UTmaHup + UTSrsiXup + UTSrsiLup + UTSrsiPup + UTSrsiDup + UTwtXup + UTwtLup + UTwtPup + UTwtDup
UTSigS = UTmaXdn + UTmaPdn + UTmaHdn + UTSrsiXdn + UTSrsiLdn + UTSrsiPdn + UTSrsiDdn + UTwtXdn + UTwtLdn + UTwtPdn + UTwtDdn
//DT SIGNAL SCORES
DTSigB = DTmaXup + DTmaPup + DTmaHup + DTSrsiXup + DTSrsiLup + DTSrsiPup + DTSrsiDup + DTwtXup + DTwtLup + DTwtPup + DTwtDup
DTSigS = DTmaXdn + DTmaPdn + DTmaHdn + DTSrsiXdn + DTSrsiLdn + DTSrsiPdn + DTSrsiDdn + DTwtXdn + DTwtLdn + DTwtPdn + DTwtDdn

//UT BUY AND SELL
UTNormB = UTSigB == UTReqScore ? 1 : na
UTNormS = UTSigS == UTReqScore ? 1 : na
//DT BUY AND SELL
DTNormB = DTSigB == DTReqScore ? 1 : na
DTNormS = DTSigS == DTReqScore ? 1 : na

//CHECK TREND DIRECTION
UpTrend = mat > mat[1]
BCond = UpTrend ? UTNormB : DTNormB
SCond = UpTrend ? UTNormS : DTNormS

//FINALIZE
LongEntryFinal  = TrendTrade ? BCond and mat > mat[1] : BCond
LongExitFinal   = TrendTrade ? SCond and mat > mat[1] : SCond
ShortEntryFinal = TrendTrade ? SCond and mat < mat[1] : SCond
ShortExitFinal  = TrendTrade ? BCond and mat < mat[1] : BCond

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//STOP LOSS & TAKE PROFIT▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//UT MINIMUM PROFIT
UTmpconvertL = strategy.position_avg_price * (1 + UTminProf)
UTmpconvertS = strategy.position_avg_price * (1 - UTminProf)
UTmpdefineL = TradeDir == "LONG" ? (UTmpconvertL < close and strategy.openprofit > 0) and UTsellProf : na
UTmpdefineS = TradeDir == "SHORT" ? (UTmpconvertS > close and strategy.openprofit > 0) and UTsellProf : na
UTSPL = LongExitFinal and UTmpdefineL
UTSPS = ShortExitFinal and UTmpdefineS
//DT MINIMUM PROFIT
DTmpconvertL = strategy.position_avg_price * (1 + DTminProf)
DTmpconvertS = strategy.position_avg_price * (1 - DTminProf)
DTmpdefineL = TradeDir == "LONG" ? (DTmpconvertL < close and strategy.openprofit > 0) and DTsellProf : na
DTmpdefineS = TradeDir == "SHORT" ? (DTmpconvertS > close and strategy.openprofit > 0) and DTsellProf : na
DTSPL = LongExitFinal and DTmpdefineL
DTSPS = ShortExitFinal and DTmpdefineS
//COLLECT
sellProf = UpTrend ? UTsellProf : DTsellProf
SPL = UpTrend ? UTSPL : DTSPL
SPS = UpTrend ? UTSPS : DTSPS

//UT TAKE PROFIT
UTtpconvertL = strategy.position_avg_price * (1 + UTTPperc)
UTtpconvertS = strategy.position_avg_price * (1 - UTTPperc)
UTTPL = TradeDir == "LONG" ? (UTtpconvertL < close) and UTuseTP : na
UTTPS = TradeDir == "SHORT" ? (UTtpconvertS > close) and UTuseTP : na
//DT TAKE PROFIT
DTtpconvertL = strategy.position_avg_price * (1 + DTTPperc)
DTtpconvertS = strategy.position_avg_price * (1 - DTTPperc)
DTTPL = TradeDir == "LONG" ? (DTtpconvertL < close) and DTuseTP : na
DTTPS = TradeDir == "SHORT" ? (DTtpconvertS > close) and DTuseTP : na
//COLLECT
TPL = UpTrend ? UTTPL : DTTPL
TPS = UpTrend ? UTTPS : DTTPS

//UT STOP LOSS
UTslconvertL = strategy.position_avg_price * (1 + UTSLperc)
UTslconvertS = strategy.position_avg_price * (1 - UTSLperc)
UTSLL = TradeDir == "LONG" ? (UTslconvertL > close) and UTuseSL : na
UTSLS = TradeDir == "SHORT" ? (UTslconvertS < close) and UTuseSL : na
//DT STOP LOSS
DTslconvertL = strategy.position_avg_price * (1 + DTSLperc)
DTslconvertS = strategy.position_avg_price * (1 - DTSLperc)
DTSLL = TradeDir == "LONG" ? (DTslconvertL > close) and DTuseSL : na
DTSLS = TradeDir == "SHORT" ? (DTslconvertS < close) and DTuseSL : na
//COLLECT
SLL = UpTrend ? UTSLL : DTSLL
SLS = UpTrend ? UTSLS : DTSLS

//UT TRADE EXPIRE
entrypos = strategy.opentrades == 1 and strategy.opentrades[1] < 1
UTexpirebars = UTuseTE ? UTTEbars : 1000000
UTTE =  ta.barssince(entrypos) >= UTexpirebars
//DT TRADE EXPIRE
DTexpirebars = DTuseTE ? DTTEbars : 1000000
DTTE =  ta.barssince(entrypos) >= DTexpirebars
//COLLECT
TE = UpTrend ? UTTE : DTTE

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//PLOTSHAPES▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//LONG
plotshape((TradeDir == "LONG") and LongEntryFinal, location=location.belowbar, style=shape.arrowup,   color=color.new(#26a69a, 100), text="⌃", textcolor=#26a69a, size=size.tiny, title="Long BUY Label")
plotshape((TradeDir == "LONG") and LongExitFinal,  location=location.abovebar, style=shape.arrowdown, color=color.new(#ef5350, 100), text="⌄", textcolor=#ef5350, size=size.tiny, title="Long SELL Label")
//SHORT
plotshape((TradeDir == "SHORT") and ShortEntryFinal, location=location.abovebar, style=shape.arrowdown, color=color.new(#ef5350, 100), text="⌄", textcolor=#ef5350, size=size.tiny, title="Short SELL Label")
plotshape((TradeDir == "SHORT") and ShortExitFinal,  location=location.belowbar, style=shape.arrowup,   color=color.new(#26a69a, 100), text="⌃", textcolor=#26a69a, size=size.tiny, title="Short BUY Label")

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//STRATEGY TRADES▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

//LONG
if (TradeDir == "LONG") and LongEntryFinal
	strategy.entry("inLong", strategy.long, comment="LEn")
if (TradeDir == "LONG") and sellProf ? SPL : LongExitFinal
	strategy.close("inLong", comment="LEx")

//SHORT
if (TradeDir == "SHORT") and ShortEntryFinal
	strategy.entry("inShort", strategy.short, comment="SEn")
if (TradeDir == "SHORT") and sellProf ? SPS : ShortExitFinal
	strategy.close("inShort", comment="SEx")

//TAKE
if TPL
    strategy.close("inLong", comment="TP")
if TPS
    strategy.close("inShort", comment="TP")
//STOP
if SLL
    strategy.close("inLong", comment="SL")
if SLS
    strategy.close("inShort", comment="SL")
//EXPIRE
if TE
    strategy.close_all(comment="TE")
	
//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////
//ALERTS▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼▼

useentryalert  = input(defval=true, title="Use ENTRY Alert", group="Custom Alert Messages")
entrystring    = input.string(title="Entry Alert Message", defval="ENTRY", confirm=false, group="Custom Alert Messages")
useexitalert   = input(defval=true, title="Use EXIT Alert", group="Custom Alert Messages")
exitstring     = input.string(title="Exit Alert Message", defval="EXIT", confirm=false, group="Custom Alert Messages")
usetakealert   = input(defval=true, title="Use TAKE Alert", group="Custom Alert Messages")
takestring     = input.string(title="Take Profit Alert Message", defval="TAKE", confirm=false, group="Custom Alert Messages")
usestopalert   = input(defval=true, title="Use STOP Alert", group="Custom Alert Messages")
stopstring     = input.string(title="Stop Loss Alert Message", defval="STOP", confirm=false, group="Custom Alert Messages")
useexpirealert = input(defval=true, title="Use EXPIRE Alert", group="Custom Alert Messages")
expirestring   = input.string(title="Expire Trade Alert Message", defval="EXPIRE", confirm=false, group="Custom Alert Messages")

//LONG
if ((TradeDir == "LONG") and LongEntryFinal) and useentryalert
	alert("{\"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)
if (TradeDir == "LONG") and (UTsellProf ? SPL : LongExitFinal) and useexitalert
	alert("{\"action\": \"close_at_market_price\",  \"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)
//SHORT
if ((TradeDir == "SHORT") and ShortEntryFinal) and useentryalert
	alert("{\"action\": \"close_at_market_price\",  \"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)
if (TradeDir == "SHORT") and (UTsellProf ? SPL : ShortExitFinal) and useexitalert
	alert("{\"action\": \"close_at_market_price\",  \"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)
//OTHER
if TPL or TPS and usetakealert
    alert("{\"action\": \"close_at_market_price\",  \"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)
if SLL or SLS and usestopalert
    alert("{\"action\": \"close_at_market_price\",  \"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)
if TE and useexpirealert
    alert("{\"action\": \"close_at_market_price\",  \"message_type\": \"bot\",  \"bot_id\": 7040545,  \"email_token\": \"9b842a1b-9cb4-48ac-9ed4-524c98557e5f\",  \"delay_seconds\": 0}", alert.freq_once_per_bar)

//END▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////

Más.