Estratégia de negociação de tendência adaptativa com vários indicadores

Autora:ChaoZhang, Data: 28 de dezembro de 2023 17:59:58
Tags:

Resumo

A estratégia de negociação de tendência adaptativa de múltiplos indicadores é uma estratégia de negociação quantitativa que integra sinais de vários indicadores técnicos. Pode identificar automaticamente a direção da tendência do mercado e gerar sinais de negociação com diferentes configurações com base em diferentes condições de mercado.

A estratégia combina indicadores, incluindo médias móveis, Stoch RSI, WaveTrend e assim por diante, para formar sinais comerciais.

Em geral, a estratégia tem fortes capacidades de rastreamento de tendências e adaptabilidade.

Estratégia lógica

Julgamento da tendência

A estratégia usa uma média móvel exponencial de 300 períodos para determinar a direção geral da tendência.

Quando o preço atravessa a linha EMA, ele desencadeia um sinal de venda reversa para bloquear as posições longas anteriores.

Sinais comerciais

Em função das diferentes tendências do mercado, a estratégia adota diferentes configurações de parâmetros para gerar sinais de negociação.

Os sinais de negociação sob uma tendência de alta incluem:

Média móvel de cruzamento e posições
Os sinais do RSI do Stoch
Sinais WaveTrend

Os sinais de negociação sob uma tendência descendente incluem:

Média móvel transversal inferior e posições
Os sinais do RSI do Stoch
Sinais WaveTrend

Os usuários podem ativar ou desativar diferentes sinais de diferentes indicadores para implementar a lógica de negociação personalizada.

Cada sinal contribui com uma pontuação de sinal +1. Quando a pontuação total atender ao limite definido pelos usuários, sinais de negociação reais serão acionados.

Obter lucro e parar de perder

A estratégia fornece várias formas de obtenção de lucro e de stop loss, incluindo percentagem de obtenção de lucro, percentagem de stop loss, desvio de preço, etc. Estes parâmetros também mudam dinamicamente com base em diferentes tendências do mercado.

Se os requisitos de lucro não forem cumpridos, a estratégia também fornece uma forma de fechar diretamente as posições para controlar o período de detenção e os riscos.

Análise das vantagens

A estratégia de negociação de tendências adaptativa de múltiplos indicadores tem as seguintes vantagens:

A estratégia utiliza a EMA e outros indicadores para determinar as tendências, evitando ser enganado por falsas rupturas ou correcções de curto prazo no mercado.
Os utilizadores podem ativar ou desativar diferentes sinais de diferentes indicadores para personalizar as suas próprias regras de negociação.
A estratégia pode identificar automaticamente diferentes condições de mercado e adotar diferentes parâmetros para gerar sinais de negociação sem intervenção manual.
Métodos múltiplos de captação de lucro e stop loss.
Redução da frequência das transacções: só quando as tendências são claras é que se pode reduzir a troca desnecessária de ida e volta.

Análise de riscos

A estratégia de negociação de tendências adaptativa de múltiplos indicadores apresenta também os seguintes riscos:

As estratégias de negociação de tendências não conseguem capturar reversões de preços a tempo e podem perder oportunidades de lucro a curto prazo.
Quando os preços atravessam a linha EMA para gerar sinais, mas falham rapidamente, isso levará a perdas.
Risco de ajuste de parâmetros: os utilizadores precisam de uma compreensão suficiente do significado de cada parâmetro para obter resultados de backtesting ideais.
Risco de identificação de tendências A estratégia pode também identificar erroneamente tendências em condições de mercado extremas.
Risco de falha do indicador Alguns sinais do indicador podem apresentar um desempenho inferior em diferentes produtos e prazos.

Alguns dos riscos podem ser resolvidos ajustando adequadamente o comprimento da EMA, expandindo o intervalo de stop loss, etc.

Orientações de otimização

A estratégia pode também ser melhorada em relação aos seguintes aspectos:

Adicionar um módulo de otimização de parâmetros dinâmicos baseado em aprendizado de máquina para que os parâmetros possam ser otimizados automaticamente com base em mudanças de mercado em tempo real, em vez de valores pré-definidos fixos.
Adicione o mecanismo de votação do conjunto de modelos. Combine julgamentos de vários modelos e selecione o ideal como sinal final.
Optimize o mecanismo de stop loss. Pode tentar trailing stop loss, movendo stop loss para melhor bloquear lucros e controlar riscos.
Permitir que os usuários definam diferentes pesos para diferentes sinais em vez de simples lógica 0/1.

Resumo

A estratégia de negociação de tendência adaptativa de múltiplos indicadores integra métodos que incluem julgamento de tendência, fusão de sinais de múltiplos indicadores, comutação de parâmetros dinâmicos. Como uma estratégia de negociação quantitativa, ela tem grande adaptabilidade e personalização. Ela pode reduzir a negociação desnecessária enquanto maximiza a captura de tendências unilaterais. A estratégia é um excelente representante da negociação quantitativa e merece pesquisa e aplicação em profundidade.

/*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="███████╗ █████╗  █████╗   ██╗   ██╗ █████╗ ██╗   ██╗ ██████╗ ██╗  ██╗███╗  ██╗"
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e="██╔══╝  ██╔══██║██║  ██╗   ╚████╔╝ ██╔══██║██║   ██║██║  ╚██╗██╔══██║██║╚████║"
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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▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲▲
////////////////////////////////////////////////////////////////////////////////

Mais.