Uma estratégia de acompanhamento de tendência sólida

Data de criação: 2024-01-26 15:22:32 última modificação: 2024-01-26 15:22:32
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Uma estratégia de acompanhamento de tendência sólida
Visão geral

Esta estratégia baseia-se na combinação de SSL híbrido, versão QQE e o indicador de ruptura de WADA-ATA, permitindo uma estratégia de rastreamento de tendências robusta. Pode obter ganhos estáveis em criptomoedas de grande porte, como BTC e ETH, e é adequada para operações de linha média e longa.
Princípio da estratégia

Lógica de entrada

Requisitos de admissão:
Preço de fechamento acima da linha de base do SSL Hybrid
A cor do indicador da versão melhorada do QQE é azul
Indicador verde para a explosão de Wada-Ata
Condições de entrada:
Preço de fechamento abaixo da linha de base do SSL Hybrid
A cor do indicador da versão melhorada do QQE é vermelho
Indicadores de explosão de Wada-Ata em vermelho
Lógica de saída

Condições para o jogo:
A cor do indicador da versão melhorada do QQE é vermelho
Condições de partida:
A cor do indicador da versão melhorada do QQE é azul
Análise de vantagens

A estratégia tem as seguintes vantagens:
A combinação de três indicadores garante a precisão e a estabilidade dos sinais de negociação.
Os indicadores de base do canal SSL e da versão melhorada do QQE são capazes de capturar a direção da tendência.
O indicador de ruptura de Wada-Ata, por sua vez, verifica ainda mais os sinais de negociação e evita falsas rupturas.
A estrutura do código é clara, fácil de entender e modificar.
Com um mecanismo completo de suspensão, parada e gerenciamento de risco, os riscos podem ser controlados de forma eficaz.
Durante períodos de tempo mais longos (por exemplo, 1 hora, 4 horas), o desempenho de retomada é excelente.
Análise de Riscos

A estratégia também apresenta os seguintes riscos:
Em períodos mais curtos (como 5 minutos), os resultados são mais fracos.
No caso de um mercado em forte turbulência, o stop loss pode ser acionado com frequência.
A análise pode ser fraca em algumas criptomoedas específicas.
Para combater esses riscos, as seguintes medidas podem ser tomadas:
Não é recomendado para uso em linhas curtas.
A largura de parada deve ser adequadamente relaxada, evitando que a parada seja muito frequente.
Teste mais variedades e encontre criptomoedas com as características desta estratégia.
Direção de otimização

A estratégia também pode ser melhorada nos seguintes aspectos:
Teste diferentes configurações de parâmetros para encontrar a melhor combinação.
Adicionar elementos de aprendizagem de máquina para tornar as estratégias mais adaptáveis.
A combinação de vários fatores, como o índice de emoção, aumenta a estabilidade geral do sistema.
Estudar as características do setor e ajustar os parâmetros para que a estratégia se adapte a um setor específico.
Adição de módulos de negociação algorítmica, que utilizam a programação de pedidos para aumentar o retorno.
Resumir

A estratégia é recomendável como um todo. É estável, fácil de entender, com um sistema completo de gerenciamento de risco. Com a variedade e o período de tempo apropriados, pode obter bons retornos.
Código-fonte da estratégia
/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © fpemehd
// Thanks to myncrypto, jason5480, kevinmck100
// @version=5
strategy(title          = '[D] SSL Hybrid + QQE MOD + Waddah Attar Strategy',
      shorttitle        = '[D] SQW Strategy',
      overlay           = true,
      pyramiding        = 0,
      currency          = currency.USD,
      default_qty_type  = strategy.percent_of_equity,
      default_qty_value = 100,
      commission_value  = 0.1,
      initial_capital   = 100000,
      max_bars_back     = 500,
      max_lines_count   = 150,
      max_labels_count  = 300)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Time, Direction, Etc - Basic Settings Inputs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// 1. Time: Based on UTC +09:00
i_start                 = input (defval = timestamp("20 Jan 1990 00:00 +0900"), title = "Start Date", tooltip = "Choose Backtest Start Date", inline = "Start Date", group = "Time" ) 
i_end                   = input (defval = timestamp("20 Dec 2030 00:00 +0900"), title = "End Date", tooltip = "Choose Backtest End Date", inline = "End Date", group = "Time" ) 
inTime                  = true

// 2. Inputs for direction: Long? Short? Both? 
i_longEnabled           = input.bool (defval = true , title = "Long?", tooltip = "Enable Long Position Trade?", inline = "Long / Short", group = "Long / Short" )
i_shortEnabled          = input.bool (defval = true , title = "Short?", tooltip = "Enable Short Position Trade?", inline = "Long / Short", group = "Long / Short" )

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Filter - Inputs, Indicaotrs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// 3. Use Filters? What Filters?
//// 3-1. ATR Filter
i_ATRFilterOn           = input.bool (defval = false , title = "ATR Filter On?", tooltip = "ATR Filter On? Order will not be made unless filter condition is fulfilled", inline = "1", group =  "Filters") 
i_ATRFilterLen          = input.int  (defval = 14,     title = "Length for ATR Filter", minval = 1 , maxval = 100 , step = 1 , tooltip = "", inline = "2", group = "Filters") 
i_ATRSMALen             = input.int  (defval = 40,     title = "SMA Length for ATR SMA", minval = 1 , maxval = 100000 , step = 1 , tooltip = "ATR should be bigger than this", inline = "2", group = "Filters") 
bool ATRFilter          = ta.atr(i_ATRFilterLen) >= ta.sma(ta.atr(length = i_ATRFilterLen), i_ATRSMALen) ? true : false

//// 3-2. EMA Filter
i_EMAFilterOn           = input.bool (defval = false , title = "EMA Filter On?", tooltip = "EMA Filter On? Order will not be made unless filter condition is fulfilled", inline = "3", group =  "Filters") 
i_EMALen                = input.int  (defval = 200,    title = "EMA Length", minval = 1 , maxval = 100000 , step = 1 , tooltip = "EMA Length", inline = "4", group = "Filters") 
bool longEMAFilter      = close >= ta.ema(source = close, length = i_EMALen) ? true : false
bool shortEMAFilter     = close <= ta.ema(source = close, length = i_EMALen) ? true : false
plot(i_EMAFilterOn ? ta.ema(source = close, length = i_EMALen) : na, title = "EMA Filter", color = color.new(color = color.orange , transp = 0), linewidth = 1)

//// 3-3. ADX Filter
//// 3-4. DMI Filter (Uses same ADX Length)
i_ADXFilterOn           = input.bool  (defval = false , title = "ADX Filter On?", tooltip = "ADX Filter On? Order will not be made unless filter condition is fulfilled", inline = "5", group =  "Filters") 
i_DMIFilterOn           = input.bool  (defval = false , title = "DMI Filter On?", tooltip = "DMI (Directional Moving Index) Filter On? Order will not be made unless filter condition is fulfilled", inline = "6", group =  "Filters") 
i_ADXLength             = input.int   (defval = 20,     title = "ADX Length", minval = 1 , maxval = 100000 , step = 1 , tooltip = "ADX Length", inline = "7", group = "Filters") 
i_ADXThreshold          = input.int   (defval = 25,     title = "ADX Threshold", minval = 1 , maxval = 100000 , step = 1 , tooltip = "ADX should be bigger than threshold", inline = "8", group = "Filters") 

//// 3-5. SuperTrend Filter
i_superTrendFilterOn    = input.bool  (defval = false , title = "Super Trend Filter On?", tooltip = "Super Trend Filter On? Order will not be made unless filter condition is fulfilled", inline = "9", group =  "Filters") 
i_superTrendATRLen      = input.int   (defval = 10,     title = "ATR Length", minval = 1 , maxval = 100000 , step = 1 , tooltip = "Super Trend ATR Length", inline = "10", group = "Filters") 
i_superTrendATRFactor   = input.float (defval = 3,     title = "Factor", minval = 1 , maxval = 100000 , step = 0.1 , tooltip = "Super Trend ATR Factor", inline = "11", group = "Filters") 

// ADX and DI Thanks to @BeikabuOyaji
int len                 = i_ADXLength
float th                = i_ADXThreshold

TR                      = math.max(math.max(high - low, math.abs(high - nz(close[1]))), math.abs(low - nz(close[1])))
DMPlus                  = high - nz(high[1]) > nz(low[1]) - low ? math.max(high - nz(high[1]), 0) : 0
DMMinus                 = nz(low[1]) - low > high - nz(high[1]) ? math.max(nz(low[1]) - low, 0) : 0

SmoothedTR              = 0.0
SmoothedTR              := nz(SmoothedTR[1]) - nz(SmoothedTR[1]) / len + TR

SmoothedDMPlus          = 0.0
SmoothedDMPlus          := nz(SmoothedDMPlus[1]) - nz(SmoothedDMPlus[1]) / len + DMPlus

SmoothedDMMinus         = 0.0
SmoothedDMMinus         := nz(SmoothedDMMinus[1]) - nz(SmoothedDMMinus[1]) / len + DMMinus

DIPlus                  = SmoothedDMPlus / SmoothedTR * 100
DIMinus                 = SmoothedDMMinus / SmoothedTR * 100
DX                      = math.abs(DIPlus - DIMinus) / (DIPlus + DIMinus) * 100
ADX                     = ta.sma(source = DX, length = len)

// plot(DIPlus, color=color.new(color.green, 0), title='DI+')
// plot(DIMinus, color=color.new(color.red, 0), title='DI-')
// plot(ADX, color=color.new(color.navy, 0), title='ADX')
// hline(th, color=color.white)

bool ADXFilter          = ADX > th ? true : false
bool longDMIFilter      = DIPlus >= DIMinus ? true : false
bool shortDMIFilter     = DIPlus <= DIMinus ? true : false

// Calculate Super Trend for Filter
[supertrend, direction] = ta.supertrend(factor = i_superTrendATRFactor, atrPeriod = i_superTrendATRLen) 
bodyMiddle              = plot((open + close) / 2, display=display.none)
upTrend                 = plot(i_superTrendFilterOn ? direction < 0 ? supertrend : na : na, "Up Trend", color = color.green, style=plot.style_linebr)
downTrend               = plot(i_superTrendFilterOn ? direction < 0 ? na : supertrend : na, "Down Trend", color = color.red, style=plot.style_linebr)
fill(bodyMiddle, upTrend, color.new(color.green, 90), fillgaps=false)
fill(bodyMiddle, downTrend, color.new(color.red, 90), fillgaps=false)

bool longSTFilter       = direction <= 0
bool shortSTFilter      = direction >= 0

// Filter 
bool longFilterFilled   = (not i_ATRFilterOn or ATRFilter) and (not i_EMAFilterOn or longEMAFilter) and (not i_ADXFilterOn or ADXFilter) and (not i_DMIFilterOn or longDMIFilter) and (not i_superTrendFilterOn or longSTFilter)
bool shortFilterFilled  = (not i_ATRFilterOn or ATRFilter) and (not i_EMAFilterOn or shortEMAFilter) and (not i_ADXFilterOn or ADXFilter) and (not i_DMIFilterOn or shortDMIFilter) and (not i_superTrendFilterOn or shortSTFilter)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Strategy Logic (Entry & Exit Condition) - Inputs, Indicators for Strategy
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//// Indicators
// Inputs for Strategy Indicators

//// 1. SSL Hybrid Baseline
i_useTrueRange          = input.bool   (defval = true, title = "use true range for Keltner Channel?", tooltip = "", inline = "1", group = "1: SSL Hybrid") 
i_maType                = input.string (defval ='EMA', title='Baseline Type', options=['SMA', 'EMA', 'DEMA', 'TEMA', 'LSMA', 'WMA', 'VAMA', 'TMA', 'HMA', 'McGinley'], inline="2", group = "1: SSL Hybrid")
i_len                   = input.int    (defval =30,    title='Baseline Length', inline="2", group = "1: SSL Hybrid")
i_multy                 = input.float  (defval = 0.2,  title='Base Channel Multiplier', minval = 0, maxval = 100,  step=0.05, inline="3", group = "1: SSL Hybrid")
i_volatility_lookback   = input.int    (defval =10,    title='Volatility lookback length(for VAMA)', inline='4',group="1: SSL Hybrid")

tema(src, len) =>
    ema1 = ta.ema(src, len)
    ema2 = ta.ema(ema1, len)
    ema3 = ta.ema(ema2, len)
    3 * ema1 - 3 * ema2 + ema3

f_ma(type, src, len) =>
    float result = 0
    if type == 'TMA'
        result := ta.sma(ta.sma(src, math.ceil(len / 2)), math.floor(len / 2) + 1)
        result
    if type == 'LSMA'
        result := ta.linreg(src, len, 0)
        result
    if type == 'SMA'  // Simple
        result := ta.sma(src, len)
        result
    if type == 'EMA'  // Exponential
        result := ta.ema(src, len)
        result
    if type == 'DEMA'  // Double Exponential
        e = ta.ema(src, len)
        result := 2 * e - ta.ema(e, len)
        result
    if type == 'TEMA'  // Triple Exponential
        e = ta.ema(src, len)
        result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len)
        result
    if type == 'WMA'  // Weighted
        result := ta.wma(src, len)
        result
    if type == 'VAMA'  // Volatility Adjusted
        /// Copyright © 2019 to present, Joris Duyck (JD)
        mid = ta.ema(src, len)
        dev = src - mid
        vol_up = ta.highest(dev, i_volatility_lookback)
        vol_down = ta.lowest(dev, i_volatility_lookback)
        result := mid + math.avg(vol_up, vol_down)
        result
    if type == 'HMA'  // Hull
        result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))
        result
    if type == 'McGinley'
        mg = 0.0
        mg := na(mg[1]) ? ta.ema(src, len) : mg[1] + (src - mg[1]) / (len * math.pow(src / mg[1], 4))
        result := mg
        result
    result

//// 1-1. SSL Hybrid Keltner Baseline Channel 
BBMC                    = f_ma (i_maType, close, i_len) // BaseLone
Keltma                  = f_ma (i_maType, close, i_len)
range_1                 = i_useTrueRange ? ta.tr : high - low
rangema                 = ta.ema(range_1, i_len)
upperk                  = Keltma + rangema * i_multy
lowerk                  = Keltma - rangema * i_multy

//// 2. QQE MOD, thanks to Mihkel100
RSI_Period              = input.int   (defval = 6,     title = 'RSI Length',      inline = "1",       group = "2: QQE MOD")
SF                      = input.int   (defval = 5,     title = 'RSI Smoothing',   inline = "2",       group = "2: QQE MOD")
QQE                     = input.float (defval = 3,     title = 'Fast QQE Factor', inline = "3",       group = "2: QQE MOD")
ThreshHold              = input.int   (defval = 3,     title = 'Thresh-hold',     inline = "4",       group = "2: QQE MOD")
src                     = input       (defval = close, title='RSI Source')

Wilders_Period          = RSI_Period * 2 - 1


Rsi                     = ta.rsi(src, RSI_Period)
RsiMa                   = ta.ema(Rsi, SF)
AtrRsi                  = math.abs(RsiMa[1] - RsiMa)
MaAtrRsi                = ta.ema(AtrRsi, Wilders_Period)
dar                     = ta.ema(MaAtrRsi, Wilders_Period) * QQE

longband                = 0.0
shortband               = 0.0
trend                   = 0

DeltaFastAtrRsi         = dar
RSIndex                 = RsiMa
newshortband            = RSIndex + DeltaFastAtrRsi
newlongband             = RSIndex - DeltaFastAtrRsi
longband                := RSIndex[1] > longband[1] and RSIndex > longband[1] ? math.max(longband[1], newlongband) : newlongband
shortband               := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? math.min(shortband[1], newshortband) : newshortband
cross_1                 = ta.cross(longband[1], RSIndex)
trend                   := ta.cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1)
FastAtrRsiTL            = trend == 1 ? longband : shortband
////////////////////

length                  = input.int     (defval = 50,   minval = 1,                            title = 'Bollinger Length', group = "2: QQE MOD")
mult                    = input.float   (defval = 0.35, minval = 0.01, maxval = 5, step = 0.1, title = 'BB Multiplier', group = "2: QQE MOD")

basis                   = ta.sma(FastAtrRsiTL - 50, length)
dev                     = mult * ta.stdev(FastAtrRsiTL - 50, length)
upper                   = basis + dev
lower                   = basis - dev
color_bar               = RsiMa - 50 > upper ? #00c3ff : RsiMa - 50 < lower ? #ff0062 : color.gray


//
// Zero cross
QQEzlong                = 0
QQEzlong                := nz(QQEzlong[1])
QQEzshort               = 0
QQEzshort               := nz(QQEzshort[1])
QQEzlong                := RSIndex >= 50 ? QQEzlong + 1 : 0
QQEzshort               := RSIndex < 50 ? QQEzshort + 1 : 0
//  

// Zero                    = hline(0, color=color.white, linestyle=hline.style_dotted, linewidth=1)

////////////////////////////////////////////////////////////////
RSI_Period2             = input.int   (defval = 6,     title = 'RSI 2  Length', group = "2: QQE MOD")
SF2                     = input.int   (defval = 5,     title = 'RSI Smoothing', group = "2: QQE MOD")
QQE2                    = input.float (defval = 1.61,  title = 'Fast QQE2 Factor', group = "2: QQE MOD")
ThreshHold2             = input.int   (defval = 3,     title = 'Thresh-hold', group = "2: QQE MOD")
src2                    = input       (defval = close, title = 'RSI Source', group = "2: QQE MOD")
//

//
Wilders_Period2 = RSI_Period2 * 2 - 1


Rsi2                    = ta.rsi(src2, RSI_Period2)
RsiMa2                  = ta.ema(Rsi2, SF2)
AtrRsi2                 = math.abs(RsiMa2[1] - RsiMa2)
MaAtrRsi2               = ta.ema(AtrRsi2, Wilders_Period2)
dar2                    = ta.ema(MaAtrRsi2, Wilders_Period2) * QQE2
longband2               = 0.0
shortband2              = 0.0
trend2                  = 0

DeltaFastAtrRsi2        = dar2
RSIndex2                = RsiMa2
newshortband2           = RSIndex2 + DeltaFastAtrRsi2
newlongband2            = RSIndex2 - DeltaFastAtrRsi2
longband2               := RSIndex2[1] > longband2[1] and RSIndex2 > longband2[1] ? math.max(longband2[1], newlongband2) : newlongband2
shortband2              := RSIndex2[1] < shortband2[1] and RSIndex2 < shortband2[1] ? math.min(shortband2[1], newshortband2) : newshortband2
cross_2                 = ta.cross(longband2[1], RSIndex2)
trend2                  := ta.cross(RSIndex2, shortband2[1]) ? 1 : cross_2 ? -1 : nz(trend2[1], 1)
FastAtrRsi2TL           = trend2 == 1 ? longband2 : shortband2


//
// Zero cross
QQE2zlong               = 0
QQE2zlong               := nz(QQE2zlong[1])
QQE2zshort              = 0
QQE2zshort              := nz(QQE2zshort[1])
QQE2zlong               := RSIndex2 >= 50 ? QQE2zlong + 1 : 0
QQE2zshort              := RSIndex2 < 50 ? QQE2zshort + 1 : 0
//  

hcolor2                 = RsiMa2 - 50 > ThreshHold2 ? color.silver : RsiMa2 - 50 < 0 - ThreshHold2 ? color.silver : na

Greenbar1               = RsiMa2 - 50 > ThreshHold2
Greenbar2               = RsiMa - 50 > upper

Redbar1                 = RsiMa2 - 50 < 0 - ThreshHold2
Redbar2                 = RsiMa - 50 < lower

//// 3. Waddah Attar Explosion V2 shayankm
sensitivity             = input.float (defval = 150,   title='Sensitivity',           inline = "1",       group = "3: Waddah Attar Explosion")
fastLength              = input.int   (defval = 20,    title='FastEMA Length',        inline = "2",       group = "3: Waddah Attar Explosion")
slowLength              = input.int   (defval = 40,    title='SlowEMA Length',        inline = "2",       group = "3: Waddah Attar Explosion")
channelLength           = input.int   (defval = 20,    title='BB Channel Length',     inline = "3",       group = "3: Waddah Attar Explosion")
w_mult                  = input.float (defval = 2.0,   title='BB Stdev Multiplier',   inline = "4",       group = "3: Waddah Attar Explosion")

// DEAD_ZONE = nz(ta.rma(ta.tr(true), 100)) * 3.7

calc_macd(source, fastLength, slowLength) =>
    fastMA = ta.ema(source, fastLength)
    slowMA = ta.ema(source, slowLength)
    fastMA - slowMA

calc_BBUpper(source, length, mult) =>
    basis = ta.sma(source, length)
    dev = mult * ta.stdev(source, length)
    basis + dev

calc_BBLower(source, length, mult) =>
    basis = ta.sma(source, length)
    dev = mult * ta.stdev(source, length)
    basis - dev

t1 = (calc_macd(close, fastLength, slowLength) - calc_macd(close[1], fastLength, slowLength)) * sensitivity
e1 = calc_BBUpper(close, channelLength, w_mult) - calc_BBLower(close, channelLength, w_mult)

trendUp = t1 >= 0 ? t1 : 0
trendDown = t1 < 0 ? -1 * t1 : 0

// Plot: Indicators

//// 1. SSL Hybrid
var bullSSLColor        = #00c3ff
var bearSSLColor        = #ff0062
// color_bar               = color.new(color = close > upperk ? bullSSLColor : close < lowerk ? bearSSLColor : color.gray, transp = 0)
// i_show_color_bar        = input.bool(defval = true , title = "Color Bars") 
// barcolor(i_show_color_bar ? color_bar : na)
plot(series = BBMC, title = 'MA Baseline', color = color_bar, linewidth = 1, style = plot.style_line)
up_channel              = plot(upperk, color=color_bar, title='Baseline Upper Channel')
low_channel             = plot(lowerk, color=color_bar, title='Basiline Lower Channel')
fill(up_channel, low_channel, color.new(color=color_bar, transp=90))

//// 2. QQE MOD: No Plotting because of overlay option
// plot(FastAtrRsi2TL - 50, title='QQE Line', color=color.new(color.white, 0), linewidth=2)
// plot(RsiMa2 - 50, color=hcolor2, title='Histo2', style=plot.style_columns, transp=50)
// plot(Greenbar1 and Greenbar2 == 1 ? RsiMa2 - 50 : na, title='QQE Up', style=plot.style_columns, color=color.new(#00c3ff, 0))
// plot(Redbar1 and Redbar2 == 1 ? RsiMa2 - 50 : na, title='QQE Down', style=plot.style_columns, color=color.new(#ff0062, 0))

//// 3. Waddah Attar Explosion V2 shayankm
// plot(trendUp, style=plot.style_columns, linewidth=1, color=trendUp < trendUp[1] ? color.lime : color.green, title='UpTrend', transp=45)
// plot(trendDown, style=plot.style_columns, linewidth=1, color=trendDown < trendDown[1] ? color.orange : color.red, title='DownTrend', transp=45)
// plot(e1, style=plot.style_line, linewidth=2, color=color.new(color.white, 0), title='ExplosionLine')
// plot(DEAD_ZONE, color=color.new(color.blue, 0), linewidth=1, style=plot.style_cross, title='DeadZoneLine')

////// Entry, Exit
// Long, Short Logic with Indicator
bool longSSLCond        = close > BBMC
bool shortSSLCond       = close < BBMC

bool longQQECond        = (Greenbar1[1] == false or Greenbar2[1] == false) and (Greenbar1 and Greenbar2) == 1
bool shortQQECond       = (Redbar1[1] == false or Redbar2[1] == false) and (Redbar1 and Redbar2) == 1

bool longWAECond        = trendUp > 0 and trendDown == 0
bool shortWAECond       = trendDown > 0 and trendUp == 0

// Basic Cond + Long, Short Entry Condition
bool longCond           = (i_longEnabled and inTime) and (longSSLCond and longQQECond and longWAECond) 
bool shortCond          = (i_shortEnabled and inTime) and (shortSSLCond and shortQQECond and shortWAECond) 

// Basic Cond + Long, Short Exit Condition
bool closeLong          = (i_longEnabled) and ((Redbar1[1] == false or Redbar2[1] == false) and (Redbar1 and Redbar2) == 1)
bool closeShort         = (i_shortEnabled) and ((Greenbar1[1] == false or Greenbar2[1] == false) and (Greenbar1 and Greenbar2) == 1)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Position Control
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// Long, Short Entry Condition + Not entered Position Yet
bool openLong           = longCond and not (strategy.opentrades.size(strategy.opentrades - 1) > 0) and longFilterFilled
bool openShort          = shortCond and not (strategy.opentrades.size(strategy.opentrades - 1) < 0) and shortFilterFilled
bool enteringTrade      = openLong or openShort
float entryBarIndex     = bar_index

// Long, Short Entry Fulfilled or Already Entered
bool inLong             = openLong or strategy.opentrades.size(strategy.opentrades - 1) > 0 and not closeLong
bool inShort            = openShort or strategy.opentrades.size(strategy.opentrades - 1) < 0 and not closeShort

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Stop Loss - Inputs, Indicaotrs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//// Use SL? TSL? 
i_useSLTP               = input.bool   (defval =  true, title = "Enable SL & TP?", tooltip = "", inline = "1", group = "Stop Loss") 
i_tslEnabled            = input.bool   (defval = false , title = "Enable Trailing SL?", tooltip = "Enable Stop Loss & Take Profit? \n\Enable Trailing SL?", inline = "1", group = "Stop Loss") 
// i_breakEvenAfterTP   = input.bool   (defval = false, title = 'Enable Break Even After TP?', tooltip = 'When Take Profit price target is hit, move the Stop Loss to the entry price (or to a more strict price defined by the Stop Loss %/ATR Multiplier).', inline = '2', group = 'Stop Loss / Take Profit')
//// Sl Options
i_slType                = input.string (defval = "ATR", title = "Stop Loss Type", options = ["Percent", "ATR", "Previous LL / HH"], tooltip = "Stop Loss based on %? ATR?", inline = "3", group = "Stop Loss") 
i_slATRLen              = input.int    (defval = 14, title = "ATR Length", minval = 1 , maxval = 200 , step = 1, inline = "4", group = "Stop Loss")  
i_slATRMult             = input.float  (defval = 3, title = "ATR Multiplier", minval = 1 , maxval = 200 , step = 0.1, tooltip = "", inline = "4", group = "Stop Loss") 
i_slPercent             = input.float  (defval = 3, title = "Percent", tooltip = "", inline = "5", group = "Stop Loss")
i_slLookBack            = input.int    (defval = 30, title = "Lowest Price Before Entry", group = "Stop Loss",  inline = "6", minval = 1, step = 1, tooltip = "Lookback to find the Lowest Price. \nStopLoss is determined by the Lowest price of the look back period. Take Profit is derived from this also by multiplying the StopLoss value by the Risk:Reward multiplier.")

// Functions for Stop Loss
float openAtr           = ta.valuewhen(condition = enteringTrade, source = ta.atr(i_slATRLen), occurrence = 0) 
float openLowest        = ta.valuewhen(condition = openLong, source = ta.lowest(low, i_slLookBack), occurrence = 0)
float openHighest       = ta.valuewhen(condition = openShort, source = ta.highest(high, i_slLookBack), occurrence = 0)

f_getLongSLPrice(source) =>
    switch i_slType
        "Percent"           => source * (1 - (i_slPercent/100))
        "ATR"               => source - (i_slATRMult * openAtr)
        "Previous LL / HH"  => openLowest
        => na

f_getShortSLPrice(source) =>
    switch i_slType
        "Percent"           => source * (1 + (i_slPercent/100))
        "ATR"               => source + (i_slATRMult * openAtr)
        "Previous LL / HH"  => openHighest
        => na

// Calculate Stop Loss
var float longSLPrice   = na
var float shortSLPrice  = na
bool longTPExecuted     = false
bool shortTPExecuted    = false

longSLPrice := if (inLong and i_useSLTP)
    if (openLong)
        f_getLongSLPrice (close)
    else
        // 1. Trailing Stop Loss
        if i_tslEnabled
            stopLossPrice = f_getLongSLPrice (high) 
            math.max(stopLossPrice, nz(longSLPrice[1])) 
        // 2. Normal StopLoss
        else
            nz(source = longSLPrice[1], replacement = 0) 
else
    na           

shortSLPrice := if (inShort and i_useSLTP)
    if (openShort)
        f_getShortSLPrice (close)
    else
        // 1. Trailing Stop Loss
        if i_tslEnabled
            stopLossPrice = f_getShortSLPrice (low) 
            math.min(stopLossPrice, nz(shortSLPrice[1])) 
        // 2. Normal StopLoss
        else
            nz(source = shortSLPrice[1], replacement = 999999.9) 
else
    na           

// Plot: Stop Loss of Long, Short Entry
var longSLPriceColor    = color.new(color.maroon, 0)
plot(series = longSLPrice, title = 'Long Stop Loss', color = longSLPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)
var shortSLPriceColor   = color.new(color.maroon, 0)
plot(series = shortSLPrice, title = 'Short Stop Loss', color = shortSLPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Take Profit - Inputs, Indicaotrs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
i_useTPExit             = input.bool   (defval = true, title = "Use Take Profit?", tooltip = "", inline = "1", group = "Take Profit") 
i_RRratio               = input.float  (defval = 1.5, title = "R:R Ratio", minval = 0.1 , maxval = 200 , step = 0.1, tooltip = "R:R Ratio > Risk Reward Ratio? It will automatically set Take Profit % based on Stop Loss", inline = "2", group = "Take Profit") 
i_tpQuantityPerc        = input.float  (defval = 50, title = 'Take Profit Quantity %', minval = 0.0, maxval = 100, step = 1.0, tooltip = '% of position closed when tp target is met.', inline="34", group = 'Take Profit')

var float longTPPrice   = na
var float shortTPPrice  = na

f_getLongTPPrice() =>
    close + i_RRratio * math.abs (close - f_getLongSLPrice (close))

f_getShortTPPrice() =>
    close - i_RRratio * math.abs(close - f_getShortSLPrice (close))

longTPPrice := if (inLong and i_useSLTP)
    if (openLong)
        f_getLongTPPrice ()
    else
        nz(source = longTPPrice[1], replacement = f_getLongTPPrice ()) 
else
    na

shortTPPrice := if (inShort and i_useSLTP)
    if (openShort)
        f_getShortTPPrice ()
    else
        nz(source = shortTPPrice[1], replacement = f_getShortTPPrice ()) 
else
    na

// Plot: Take Profit of Long, Short Entry 
var longTPPriceColor    = color.new(color.teal, 0)
plot(series = longTPPrice, title = 'Long Take Profit', color = longTPPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)
var shortTPPriceColor   = color.new(color.teal, 0)
plot(series = shortTPPrice, title = 'Short Take Profit', color = shortTPPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)

// Plot: Entry Price 
var posColor            = color.new(color.white, 0)
plot(series = strategy.opentrades.entry_price(strategy.opentrades - 1), title = 'Position Entry Price', color = posColor, linewidth = 1, style = plot.style_linebr)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Quantity - Inputs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
i_useRiskManangement    = input.bool  (defval = true, title = "Use Risk Manangement?", tooltip = "", inline = "1", group = "Quantity") 
i_riskPerTrade          = input.float (defval = 3, title = "Risk Per Trade (%)", minval = 0, maxval = 100, step = 0.1, tooltip = "Use Risk Manangement by Quantity Control?", inline = "2", group = "Quantity") 
// i_leverage              = input.float (defval = 2, title = "Leverage", minval = 0, maxval = 100, step = 0.1, tooltip = "Leverage", inline = "3", group = "Quantity") 

float qtyPercent        = na
float entryQuantity     = na

f_calQtyPerc() =>
    if (i_useRiskManangement)
        riskPerTrade        = (i_riskPerTrade) / 100 // 1번 거래시 3% 손실
        stopLossPrice       = openLong ? f_getLongSLPrice (close) : openShort ? f_getShortSLPrice (close) : na
        riskExpected        = math.abs((close-stopLossPrice)/close) // 손절가랑 6% 차이
        riskPerTrade / riskExpected  // 0 ~ 1
    else
        1

f_calQty(qtyPerc) =>
    math.min (math.max (0.000001, strategy.equity / close * qtyPerc), 1000000000)
    
// TP Execution
longTPExecuted          := strategy.opentrades.size(strategy.opentrades - 1) > 0 and (longTPExecuted[1] or strategy.opentrades.size(strategy.opentrades - 1) < strategy.opentrades.size(strategy.opentrades - 1)[1] or strategy.opentrades.size(strategy.opentrades - 1)[1] == 0 and high >= longTPPrice)
shortTPExecuted         := strategy.opentrades.size(strategy.opentrades - 1) < 0 and (shortTPExecuted[1] or strategy.opentrades.size(strategy.opentrades - 1) > strategy.opentrades.size(strategy.opentrades - 1)[1] or strategy.opentrades.size(strategy.opentrades - 1)[1] == 0 and low <= shortTPPrice)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Plot Label, Boxes, Results, Etc
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
i_showSimpleLabel       = input.bool(false, "Show Simple Label for Entry?",     group = "Strategy: Drawings",           inline = "1",  tooltip ="") 
i_showLabels            = input.bool(true, "Show Trade Exit Labels",            group = "Strategy: Drawings",           inline = "1",  tooltip = "Useful labels to identify Profit/Loss and cumulative portfolio capital after each trade closes.\n\nAlso note that TradingView limits the max number of 'boxes' that can be displayed on a chart (max 500). This means when you lookback far enough on the chart you will not see the TP/SL boxes. However you can check this option to identify where trades exited.")
i_showDashboard         = input.bool(false, "Show Dashboard",                    group = "Strategy: Drawings",           inline = "2",  tooltip = "Show Backtest Results. Backtest Dates, Win/Lose Rates, Etc.")

// Plot: Label for Long, Short Entry
var openLongColor       = color.new(#2962FF, 0)
var openShortColor      = color.new(#FF1744, 0)
var entryTextColor      = color.new(color.white, 0)

if (openLong and i_showSimpleLabel)
    label.new (x = bar_index, y = na, text = 'Open', yloc = yloc.belowbar, color = openLongColor, style = label.style_label_up, textcolor = entryTextColor)
    entryBarIndex := bar_index
if (openShort and i_showSimpleLabel)
    label.new (x = bar_index, y = na, text = 'Close', yloc = yloc.abovebar, color = openShortColor, style = label.style_label_down, textcolor = entryTextColor)
    entryBarIndex := bar_index

float prevEntryPrice    = strategy.closedtrades.entry_price (strategy.closedtrades - 1)
float pnl               = strategy.closedtrades.profit      (strategy.closedtrades - 1)
float prevExitPrice     = strategy.closedtrades.exit_price  (strategy.closedtrades - 1)

f_enteringTradeLabel(x, y, qty, entryPrice, slPrice, tpPrice, rrRatio, direction) => 
    if i_showLabels
        labelStr = ("Trade Start" 
              + "\nDirection: " + direction 
              + "\nRisk Per Trade: " + str.tostring (i_useRiskManangement ? i_riskPerTrade : 100, "#.##") + "%"  
              + "\nExpected Risk: " + str.tostring (math.abs((close-slPrice)/close) * 100, "#.##") + "%" 
              + "\nEntry Position Qty: " + str.tostring(math.abs(qty * 100), "#.##") + "%"
              + "\nEntry Price: " + str.tostring(entryPrice, "#.##"))
              + "\nStop Loss Price: " + str.tostring(slPrice, "#.##") 
              + "\nTake Profit Price: " + str.tostring(tpPrice, "#.##") 
              + "\nRisk - Reward Ratio: " + str.tostring(rrRatio, "#.##") 
        label.new(x = x, y = y, text = labelStr, color = color.new(color.blue, 60) , textcolor = color.white, style = label.style_label_up)


f_exitingTradeLabel(x, y, entryPrice, exitPrice, direction) => 
    if i_showLabels
        labelStr = ("Trade Result" 
              + "\nDirection: " + direction 
              + "\nEntry Price: " + str.tostring(entryPrice, "#.##") 
              + "\nExit Price: " + str.tostring(exitPrice,"#.##")
              + "\nGain %: " + str.tostring(direction == 'Long' ? -(entryPrice-exitPrice) / entryPrice * 100 : (entryPrice-exitPrice) / entryPrice * 100 ,"#.##") + "%")
        label.new(x = x, y = y, text = labelStr, color = pnl > 0 ? color.new(color.green, 60) : color.new(color.red, 60), textcolor = color.white, style = label.style_label_down)

f_fillCell(_table, _column, _row, _title, _value, _bgcolor, _txtcolor) =>
    _cellText = _title + " " + _value
    table.cell(_table, _column, _row, _cellText, bgcolor=_bgcolor, text_color=_txtcolor, text_size=size.auto)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Orders
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░

if (inTime)
    if (openLong)
        qtyPercent        := f_calQtyPerc() > 1 ? 1 : f_calQtyPerc()  
        entryQuantity     := f_calQty(qtyPercent)
        strategy.entry(id = "Long", direction = strategy.long, qty = entryQuantity, comment = 'Long(' + syminfo.ticker + '): Started', alert_message = 'Long(' + syminfo.ticker + '): Started')
        f_enteringTradeLabel(x = bar_index + 1, y = close-3*ta.tr, entryPrice = close, qty = qtyPercent, slPrice = longSLPrice, tpPrice = longTPPrice, rrRatio = i_RRratio, direction = "Long")

    if (openShort)
        qtyPercent        := f_calQtyPerc() > 1 ? 1 : f_calQtyPerc()  
        entryQuantity     := f_calQty(qtyPercent)
        strategy.entry(id = "Short", direction = strategy.short, qty = entryQuantity, comment = 'Short(' + syminfo.ticker + '): Started', alert_message = 'Short(' + syminfo.ticker + '): Started')
        f_enteringTradeLabel(x = bar_index + 1, y = close-3*ta.tr, entryPrice = close, qty = qtyPercent, slPrice = shortSLPrice, tpPrice = shortTPPrice, rrRatio = i_RRratio, direction = "Short")

    if (closeLong)
        strategy.close(id = 'Long', comment = 'Close Long', alert_message = 'Long: Closed at market price')
        strategy.position_size > 0 ? f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Long') : na

    if (closeShort)
        strategy.close(id = 'Short', comment = 'Close Short', alert_message = 'Short: Closed at market price')
        strategy.position_size < 0 ? f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Short') : na

    if (inLong)
        strategy.exit(id = 'Long TP / SL', from_entry = 'Long', qty_percent = i_tpQuantityPerc, limit = longTPPrice, stop = longSLPrice, alert_message = 'Long(' + syminfo.ticker + '): Take Profit or Stop Loss executed')
        strategy.exit(id = 'Long SL', from_entry = 'Long', stop = longSLPrice, alert_message = 'Long(' + syminfo.ticker + '): Stop Loss executed')

    if (inShort)
        strategy.exit(id = 'Short TP / SL', from_entry = 'Short', qty_percent = i_tpQuantityPerc, limit = shortTPPrice, stop = shortSLPrice, alert_message = 'Short(' + syminfo.ticker + '): Take Profit or Stop Loss executed')
        strategy.exit(id = 'Short SL', from_entry = 'Short', stop = shortSLPrice, alert_message = 'Short(' + syminfo.ticker + '): Stop Loss executed')
    
    if strategy.position_size[1] > 0 and strategy.position_size == 0
        f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Long')
    
    if strategy.position_size[1] < 0 and strategy.position_size == 0
        f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Short')

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Backtest Result Dashboard
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░

if i_showDashboard
    var bgcolor = color.new(color = color.black, transp = 100)
    var greenColor = color.new(color = #02732A, transp = 0)
    var redColor = color.new(color = #D92332, transp = 0)
    var yellowColor = color.new(color = #F2E313, transp = 0)
    // Keep track of Wins/Losses streaks
    newWin  = (strategy.wintrades  > strategy.wintrades[1]) and (strategy.losstrades == strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1])
    newLoss = (strategy.wintrades == strategy.wintrades[1]) and (strategy.losstrades  > strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1])

    varip int winRow     = 0
    varip int lossRow    = 0
    varip int maxWinRow  = 0
    varip int maxLossRow = 0

    if newWin
        lossRow := 0
        winRow := winRow + 1
    if winRow > maxWinRow
        maxWinRow := winRow
        
    if newLoss
        winRow := 0
        lossRow := lossRow + 1
    if lossRow > maxLossRow
        maxLossRow := lossRow


    // Prepare stats table
    var table dashTable = table.new(position.top_right, 1, 15, border_width=1)
    
   
    if barstate.islastconfirmedhistory
        dollarReturn = strategy.netprofit
        f_fillCell(dashTable, 0, 0, "Start:", str.format("{0,date,long}", strategy.closedtrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.closedtrades.entry_time(0)) 
        f_fillCell(dashTable, 0, 1, "End:", str.format("{0,date,long}", strategy.opentrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.opentrades.entry_time(0))
        _profit = (strategy.netprofit / strategy.initial_capital) * 100
        f_fillCell(dashTable, 0, 2, "Net Profit:", str.tostring(_profit, '##.##') + "%", _profit > 0 ? greenColor : redColor, color.white)
        _numOfDaysInStrategy = (strategy.opentrades.entry_time(0) - strategy.closedtrades.entry_time(0)) / (1000 * 3600 * 24)
        _winRate = ( strategy.wintrades / strategy.closedtrades ) * 100
        f_fillCell(dashTable, 0, 4, "Percent Profitable:", str.tostring(_winRate, '##.##') + "%", _winRate < 50 ? redColor : _winRate < 75 ? greenColor : yellowColor, color.white)
        f_fillCell(dashTable, 0, 5, "Profit Factor:", str.tostring(strategy.grossprofit / strategy.grossloss,  '##.###'), strategy.grossprofit > strategy.grossloss ? greenColor : redColor, color.white)
        f_fillCell(dashTable, 0, 6, "Total Trades:", str.tostring(strategy.closedtrades), bgcolor, color.white)
        f_fillCell(dashTable, 0, 8, "Max Wins In A Row:", str.tostring(maxWinRow, '######') , bgcolor, color.white)
        f_fillCell(dashTable, 0, 9, "Max Losses In A Row:", str.tostring(maxLossRow, '######') , bgcolor, color.white)
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