SSL Momentum Indicator Kombinations-Handelsstrategie


Erstellungsdatum: 2023-09-23 15:44:29 zuletzt geändert: 2023-09-23 15:44:29
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Überblick

Die Strategie kombiniert die SSL-Channel-Indikatoren mit den QQE-Dynamik-Indikatoren, um ein umfassenderes Trendurteilsystem zu bilden. Wenn der Preis den SSL-Channel durchbricht, wird das Multi-Block-Signal in Kombination mit den QQE-Indikatoren eingesetzt. Gleichzeitig wird die Stop-Loss-Stop-Exit eingerichtet, um das Risiko zu verwalten.

Strategieprinzip

Die Strategie besteht hauptsächlich aus folgenden Teilen:

  1. SSL-Kanal: Beurteilen Sie die Preisentwicklung.

  2. QQE-Indikatoren: Hilfsmittel zur Beurteilung von Trenddynamik.

  3. Breakout-Entry: Eintritt, wenn der Preis die SSL-Strecke überschreitet, in Verbindung mit dem QQE-Signal.

  4. Stop-Loss-Stop: Setzen Sie den ATR-Multiplikator Exit, um den Einzelschaden zu steuern.

  5. Positionsgründung in Gruppen: Positionen werden mehrmals in Gruppen aufgestellt, und nach Gewinnung werden Positionen verschoben.

Die Strategie kombiniert Trend- und Dynamikbeurteilungen in einem System von Strategien, das sowohl Trend- als auch Risikokontrolle ermöglicht.

Analyse der Stärken

Die Strategie hat folgende Vorteile gegenüber einer Strategie mit nur einem Indikator:

  1. Die SSL-Kanäle beurteilen Trends, die QQE identifiziert Wendepunkte und die Indikatoren sind eng miteinander verbunden.

  2. Ein brecherischer Einstieg verhindert, dass High-Buying nachgeht.

  3. Die Stop-Loss-Stoppschwelle ist ein vernünftiger, kontrollierbarer Einzelschaden.

  4. Die Lagerhaltung in Schüttungen reduziert das Risiko, und nach der Gewinngewinnung wird der Gewinn fixiert.

  5. Die Optimierung der Parameter ist groß und kann auf die optimale Lösung angepasst werden.

  6. Flexible Anwendung in mehreren Sorten und mehreren Zyklen.

  7. Die Autoren des Berichts sind der Meinung, dass die Optimierung der Intelligenz durch maschinelles Lernen möglich ist.

  8. Das Risiko-Risiko-Verhältnis für Stabilität und Erträge insgesamt ist besser als bei einer Strategie mit einem einzigen Indikator.

Risikoanalyse

Aber diese Strategie birgt auch folgende Hauptrisiken:

  1. Die Mehrparameter-Optimierung ist schwieriger, und es besteht die Gefahr von Überfitting.

  2. SSL-Kanäle und QQE haben eine gewisse Nachhaltigkeit.

  3. Die Kombination von mehreren Indikatoren erhöht die Komplexität der Strategie.

  4. “Wenn wir die Lager in Scherben bauen, erhöhen wir die Kosten für die Gleitpunkte”.

  5. Der Rücknahmeprozentsatz für maximale Erträge ist wichtig.

  6. Die Auswirkungen variieren stark je nach Marktumfeld.

  7. Die Stabilität der Parameter in verschiedenen Zyklen und Sorten muss überprüft werden.

  8. Die Häufigkeit der Transaktionen wirkt sich auf die Kosten aus.

Optimierungsrichtung

Auf der Grundlage dieser Analyse können folgende Optimierungsmöglichkeiten in Betracht gezogen werden:

  1. Beurteilung der Robustheit der verschiedenen Sorten und Zyklusparameter

  2. Setzen Sie den dynamischen Stop-Loss-Stopp-Ratio.

  3. Optimierung der Finanzmanagementstrategie.

  4. Erstellung eines dynamischen Positionsmanagementmodells.

  5. Die Einführung von maschinellem Lernen schafft bessere Eintrittschancen.

  6. Das Rollen der Fenster wird erfasst und die Parameter-Stabilität überprüft.

  7. Bewertung der Auswirkungen der Transaktionskosten und Anpassung der Häufigkeit.

  8. Optimierung der Größenverhältnisse für die Errichtung von Lagerstätten in Schuhen.

  9. Die Strategie wird kontinuierlich optimiert, um mit dem Markt in Einklang zu bleiben.

Zusammenfassen

Diese Strategie bildet in enger Zusammenarbeit mit den SSL- und QQE-Indikatoren ein stabiles Trendstrategie-System. Jede Strategie muss jedoch ständig optimiert und erweitert werden, um die Marktsensitivität zu bewahren. Nur durch kontinuierliches Lernen und Verifizieren kann eine quantifizierte Strategie langfristig stabile Gewinne erzielen.

Strategiequellcode 
/*backtest
start: 2023-08-23 00:00:00
end: 2023-09-22 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4

// Strategy based on the SSL Hybrid indicator by Mihkel00
// Designed for the purpose of back testing
// Strategy:
//  - Enters both long and short trades based on SSL1 crossing the baseline
//  - Stop Loss calculated based on ATR multiplier
//  - Take Profit calculated based on 2 ATR multipliers and exits percentage of position on TP1 and TP2
//
// Credits:
// SSL Hybrid Mihkel00 https://www.tradingview.com/u/Mihkel00/

// -------------------------------- SSL HYBRID ---------------------------------
strategy("SSL Hybrid + QQE Strategy", overlay=true, initial_capital=5000, default_qty_value=10, default_qty_type=strategy.percent_of_equity, commission_type = "percent", commission_value=0.04, max_labels_count=500, calc_on_every_tick=true, pyramiding=10)
show_Baseline = input(title="Show Baseline", type=input.bool, defval=true, group="SSL Hybrid Indicator Settings")
show_SSL1 = input(title="Show SSL1", type=input.bool, defval=true, group="SSL Hybrid Indicator Settings")
show_atr = input(title="Show ATR bands", type=input.bool, defval=false, group="SSL Hybrid Indicator Settings")
//ATR
atrlen = input(14, "ATR Period", group="SSL Hybrid Indicator Settings")
mult = input(1, "ATR Multi", step=0.1, group="SSL Hybrid Indicator Settings")
smoothing = input(title="ATR Smoothing", defval="WMA", options=["RMA", "SMA", "EMA", "WMA"], group="SSL Hybrid Indicator Settings")

ma_function(source, atrlen) => 
    if smoothing == "RMA"
        rma(source, atrlen)
    else
        if smoothing == "SMA"
            sma(source, atrlen)
        else
            if smoothing == "EMA"
                ema(source, atrlen)
            else
                wma(source, atrlen)
atr_slen = ma_function(tr(true), atrlen)
////ATR Up/Low Bands
upper_band = atr_slen * mult + close
lower_band = close - atr_slen * mult

////BASELINE / SSL1 / SSL2 / EXIT MOVING AVERAGE VALUES
maType = input(title="SSL1 / Baseline Type", type=input.string, defval="HMA", options=["SMA","EMA","DEMA","TEMA","LSMA","WMA","MF","VAMA","TMA","HMA", "JMA", "Kijun v2", "EDSMA","McGinley"], group="SSL Hybrid Indicator Settings")
len = input(title="SSL1 / Baseline Length", defval=60, group="SSL Hybrid Indicator Settings")

SSL2Type = input(title="SSL2 / Continuation Type", type=input.string, defval="JMA", options=["SMA","EMA","DEMA","TEMA","WMA","MF","VAMA","TMA","HMA", "JMA","McGinley"], group="SSL Hybrid Indicator Settings")
len2 = input(title="SSL 2 Length", defval=5, group="SSL Hybrid Indicator Settings")
//
SSL3Type = input(title="EXIT Type", type=input.string, defval="HMA", options=["DEMA","TEMA","LSMA","VAMA","TMA","HMA","JMA", "Kijun v2", "McGinley", "MF"], group="SSL Hybrid Indicator Settings")
len3 = input(title="EXIT Length", defval=15, group="SSL Hybrid Indicator Settings")
src = input(title="Source", type=input.source, defval=close, group="SSL Hybrid Indicator Settings")

//
tema(src, len) =>
    ema1 = ema(src, len)
    ema2 = ema(ema1, len)
    ema3 = ema(ema2, len)
    (3 * ema1) - (3 * ema2) + ema3
kidiv = input(defval=1,maxval=4,  title="Kijun MOD Divider", group="SSL Hybrid Indicator Settings")

jurik_phase = input(title="* Jurik (JMA) Only - Phase", type=input.integer, defval=3, group="SSL Hybrid Indicator Settings")
jurik_power = input(title="* Jurik (JMA) Only - Power", type=input.integer, defval=1, group="SSL Hybrid Indicator Settings")
volatility_lookback = input(10, title="* Volatility Adjusted (VAMA) Only - Volatility lookback length", group="SSL Hybrid Indicator Settings")
//MF
beta = input(0.8,minval=0,maxval=1,step=0.1,  title="Modular Filter, General Filter Only - Beta", group="SSL Hybrid Indicator Settings")
feedback = input(false, title="Modular Filter Only - Feedback", group="SSL Hybrid Indicator Settings")
z = input(0.5,title="Modular Filter Only - Feedback Weighting",step=0.1, minval=0, maxval=1, group="SSL Hybrid Indicator Settings")
//EDSMA
ssfLength = input(title="EDSMA - Super Smoother Filter Length", type=input.integer, minval=1, defval=20, group="SSL Hybrid Indicator Settings")
ssfPoles = input(title="EDSMA - Super Smoother Filter Poles", type=input.integer, defval=2, options=[2, 3], group="SSL Hybrid Indicator Settings")

//----

//EDSMA
get2PoleSSF(src, length) =>
    PI = 2 * asin(1)
    arg = sqrt(2) * PI / length
    a1 = exp(-arg)
    b1 = 2 * a1 * cos(arg)
    c2 = b1
    c3 = -pow(a1, 2)
    c1 = 1 - c2 - c3
    
    ssf = 0.0
    ssf := c1 * src + c2 * nz(ssf[1]) + c3 * nz(ssf[2])

get3PoleSSF(src, length) =>
    PI = 2 * asin(1)

    arg = PI / length
    a1 = exp(-arg)
    b1 = 2 * a1 * cos(1.738 * arg)
    c1 = pow(a1, 2)

    coef2 = b1 + c1
    coef3 = -(c1 + b1 * c1)
    coef4 = pow(c1, 2)
    coef1 = 1 - coef2 - coef3 - coef4

    ssf = 0.0
    ssf := coef1 * src + coef2 * nz(ssf[1]) + coef3 * nz(ssf[2]) + coef4 * nz(ssf[3])

ma(type, src, len) =>
    float result = 0
    if type=="TMA"
        result := sma(sma(src, ceil(len / 2)), floor(len / 2) + 1)
    if type=="MF"
        ts=0.,b=0.,c=0.,os=0.
        //----
        alpha = 2/(len+1)
        a = feedback ? z*src + (1-z)*nz(ts[1],src) : src
        //----
        b := a > alpha*a+(1-alpha)*nz(b[1],a) ? a : alpha*a+(1-alpha)*nz(b[1],a)
        c := a < alpha*a+(1-alpha)*nz(c[1],a) ? a : alpha*a+(1-alpha)*nz(c[1],a)
        os := a == b ? 1 : a == c ? 0 : os[1]
        //----
        upper = beta*b+(1-beta)*c
        lower = beta*c+(1-beta)*b 
        ts := os*upper+(1-os)*lower
        result := ts
    if type=="LSMA"
        result := linreg(src, len, 0)
    if type=="SMA" // Simple
        result := sma(src, len)
    if type=="EMA" // Exponential
        result := ema(src, len)
    if type=="DEMA" // Double Exponential
        e = ema(src, len)
        result := 2 * e - ema(e, len)
    if type=="TEMA" // Triple Exponential
        e = ema(src, len)
        result := 3 * (e - ema(e, len)) + ema(ema(e, len), len)
    if type=="WMA" // Weighted
        result := wma(src, len)
    if type=="VAMA" // Volatility Adjusted
        /// Copyright © 2019 to present, Joris Duyck (JD)
        mid=ema(src,len)
        dev=src-mid
        vol_up=highest(dev,volatility_lookback)
        vol_down=lowest(dev,volatility_lookback)
        result := mid+avg(vol_up,vol_down)
    if type=="HMA" // Hull
        result := wma(2 * wma(src, len / 2) - wma(src, len), round(sqrt(len)))
    if type=="JMA" // Jurik
        /// Copyright © 2018 Alex Orekhov (everget)
        /// Copyright © 2017 Jurik Research and Consulting.
        phaseRatio = jurik_phase < -100 ? 0.5 : jurik_phase > 100 ? 2.5 : jurik_phase / 100 + 1.5
        beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2)
        alpha = pow(beta, jurik_power)
        jma = 0.0
        e0 = 0.0
        e0 := (1 - alpha) * src + alpha * nz(e0[1])
        e1 = 0.0
        e1 := (src - e0) * (1 - beta) + beta * nz(e1[1])
        e2 = 0.0
        e2 := (e0 + phaseRatio * e1 - nz(jma[1])) * pow(1 - alpha, 2) + pow(alpha, 2) * nz(e2[1])
        jma := e2 + nz(jma[1])
        result := jma
    if type=="Kijun v2"
        kijun = avg(lowest(len), highest(len))//, (open + close)/2)
        conversionLine = avg(lowest(len/kidiv), highest(len/kidiv))
        delta = (kijun + conversionLine)/2
        result :=delta
    if type=="McGinley"
        mg = 0.0
        ema = ema(src, len)
        mg := na(mg[1]) ? ema : mg[1] + (src - mg[1]) / (len * pow(src/mg[1], 4))
        result :=mg
    if type=="EDSMA"
    
        zeros = src - nz(src[2])
        avgZeros = (zeros + zeros[1]) / 2
        
        // Ehlers Super Smoother Filter 
        ssf = ssfPoles == 2
             ? get2PoleSSF(avgZeros, ssfLength)
             : get3PoleSSF(avgZeros, ssfLength)
        
        // Rescale filter in terms of Standard Deviations
        stdev = stdev(ssf, len)
        scaledFilter = stdev != 0
             ? ssf / stdev
             : 0
        
        alpha = 5 * abs(scaledFilter) / len
        
        edsma = 0.0
        edsma := alpha * src + (1 - alpha) * nz(edsma[1])
        result :=  edsma
    result
    
///SSL 1 and SSL2
emaHigh = ma(maType, high, len)
emaLow = ma(maType, low, len)

maHigh = ma(SSL2Type, high, len2)
maLow = ma(SSL2Type, low, len2)

///EXIT
ExitHigh = ma(SSL3Type, high, len3)
ExitLow = ma(SSL3Type, low, len3)

///Keltner Baseline Channel
BBMC = ma(maType, close, len)
useTrueRange = input(true, group="SSL Hybrid Indicator Settings")
multy = input(0.2, step=0.05, title="Base Channel Multiplier", group="SSL Hybrid Indicator Settings")
Keltma = ma(maType, src, len)
range = useTrueRange ? tr : high - low
rangema = ema(range, len)
upperk =Keltma + rangema * multy
lowerk = Keltma - rangema * multy

//Baseline Violation Candle
open_pos =  open*1
close_pos = close*1
difference = abs(close_pos-open_pos)
atr_violation = difference > atr_slen
InRange = upper_band > BBMC and lower_band < BBMC
candlesize_violation = atr_violation and InRange
plotshape(candlesize_violation, color=color.new(color.white, transp=0), size=size.tiny,style=shape.diamond, location=location.top, title="Candle Size > 1xATR")


//SSL1 VALUES
Hlv = int(na)
Hlv := close > emaHigh ? 1 : close < emaLow ? -1 : Hlv[1]
sslDown = Hlv < 0 ? emaHigh : emaLow

//SSL2 VALUES
Hlv2 = int(na)
Hlv2 := close > maHigh ? 1 : close < maLow ? -1 : Hlv2[1]
sslDown2 = Hlv2 < 0 ? maHigh : maLow

//EXIT VALUES
Hlv3 = int(na)
Hlv3 := close > ExitHigh ? 1 : close < ExitLow ? -1 : Hlv3[1]
sslExit = Hlv3 < 0 ? ExitHigh : ExitLow
base_cross_Long = crossover(close, sslExit)
base_cross_Short = crossover(sslExit, close)
codiff = base_cross_Long ? 1 : base_cross_Short ? -1 : na 

//COLORS
show_color_bar = input(title="Color Bars", type=input.bool, defval=true, group="SSL Hybrid Indicator Settings")
color_bar = close > upperk ? #00c3ff : close < lowerk ? #ff0062 : color.gray
color_ssl1 = close > sslDown ? #00c3ff : close < sslDown ? #ff0062 : na

//PLOTS
plotarrow(codiff, colorup=color.rgb(0, 195, 255, transp=0), colordown=color.rgb(255, 0, 98, transp=0),title="Exit Arrows", maxheight=20, offset=0, display=display.none)
p1 = plot(show_Baseline ? BBMC : na, color=color.new(color_bar, transp=0), linewidth=4, title='MA Baseline')
DownPlot = plot( show_SSL1 ? sslDown : na, title="SSL1", linewidth=3, color=color.new(color_ssl1, transp=10))
barcolor(show_color_bar ? color_bar : na)
up_channel = plot(show_Baseline ? upperk : na, color=color_bar, title="Baseline Upper Channel")
low_channel = plot(show_Baseline ? lowerk : na, color=color_bar, title="Basiline Lower Channel")
fill(up_channel, low_channel, color=color.new(color_bar, transp=90))

////SSL2 Continiuation from ATR
atr_crit = input(0.9, step=0.1, title="Continuation ATR Criteria", group="SSL Hybrid Indicator Settings")
upper_half = atr_slen * atr_crit + close
lower_half = close - atr_slen * atr_crit
buy_inatr =  lower_half < sslDown2
sell_inatr = upper_half > sslDown2
sell_cont = close < BBMC and close < sslDown2
buy_cont = close > BBMC and close > sslDown2
sell_atr = sell_inatr and sell_cont
buy_atr = buy_inatr and buy_cont
atr_fill = buy_atr ? color.green : sell_atr ? color.purple : color.white
LongPlot = plot(sslDown2, title="SSL2", linewidth=2, color=color.new(atr_fill, transp=0), style=plot.style_circles, display=display.none)
u = plot(show_atr ? upper_band : na, "+ATR", color=color.new(color.white, transp=80), display=display.none)
l = plot(show_atr ? lower_band : na, "-ATR", color=color.new(color.white, transp=80), display=display.none)

// ---------------------------- QQE MOD INDICATOR ------------------------------
RSI_Period = input(6, title='RSI Length')
SF = input(5, title='RSI Smoothing')
QQE = input(3, title='Fast QQE Factor')
ThreshHold = input(3, title="Thresh-hold")

rsi_src = input(close, title="RSI Source")

Wilders_Period = RSI_Period * 2 - 1


Rsi = rsi(rsi_src, RSI_Period)
RsiMa = ema(Rsi, SF)
AtrRsi = abs(RsiMa[1] - RsiMa)
MaAtrRsi = ema(AtrRsi, Wilders_Period)
dar = 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] ? 
   max(longband[1], newlongband) : newlongband
shortband := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? 
   min(shortband[1], newshortband) : newshortband
cross_1 = cross(longband[1], RSIndex)
trend := cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1)
FastAtrRsiTL = trend == 1 ? longband : shortband
////////////////////


length = input(50, minval=1, title="Bollinger Length")
bb_mult = input(0.35, minval=0.001, maxval=5, step=0.1, title="BB Multiplier")
basis = sma(FastAtrRsiTL - 50, length)
dev = bb_mult * stdev(FastAtrRsiTL - 50, length)
upper = basis + dev
lower = basis - dev
rsi_ma_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

////////////////////////////////////////////////////////////////

RSI_Period2 = input(6, title='RSI Length')
SF2 = input(5, title='RSI Smoothing')
QQE2 = input(1.61, title='Fast QQE2 Factor')
ThreshHold2 = input(3, title="Thresh-hold")

src2 = input(close, title="RSI Source")

Wilders_Period2 = RSI_Period2 * 2 - 1


Rsi2 = rsi(src2, RSI_Period2)
RsiMa2 = ema(Rsi2, SF2)
AtrRsi2 = abs(RsiMa2[1] - RsiMa2)
MaAtrRsi2 = ema(AtrRsi2, Wilders_Period2)
dar2 = 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] ? 
   max(longband2[1], newlongband2) : newlongband2
shortband2 := RSIndex2[1] < shortband2[1] and RSIndex2 < shortband2[1] ? 
   min(shortband2[1], newshortband2) : newshortband2
cross_2 = cross(longband2[1], RSIndex2)
trend2 := 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
// plot(FastAtrRsi2TL - 50, title='QQE Line', color=color.white, transp=0, linewidth=2)
// plot(RsiMa2 - 50, color=hcolor2, transp=50, title='Histo2', style=plot.style_columns)

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

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

qqe_line = FastAtrRsi2TL - 50
qqe_blue_bar = Greenbar1 and Greenbar2 == 1
qqe_red_bar = Redbar1 and Redbar2 == 1
// plot(Greenbar1 and Greenbar2 == 1 ? RsiMa2 - 50 : na, title="QQE Up", style=plot.style_columns, color=#00c3ff, transp=0)
// plot(Redbar1 and Redbar2 == 1 ? RsiMa2 - 50 : na, title="QQE Down", style=plot.style_columns, color=#ff0062, transp=0)

// ----------------------------------STRATEGY ----------------------------------

atr_length = input(title="ATR Length", type=input.integer, defval=14, inline="1", group="Strategy Back Test Settings")
atr = atr(atr_length)

// Back test time range
from_date = input(title="From", type=input.time, defval=timestamp("01 Aug 2021 00:00 +0100"), inline="1", group="Date Range")
to_date = input(title="To", type=input.time, defval=timestamp("01 Sep 2021 00:00 +0100"), inline="1", group="Date Range")
in_date = true

// Strategy exit settings

// Stop-Loss Settings
use_tp_sl = input(title="Use TP & SL", type=input.bool, defval=true, inline="1", group="Exit Settings")
sl_atr_multiplier = input(title="SL ATR Multiplier", type=input.float, defval=1.6, step=0.1, inline="2", group="Exit Settings")
move_sl_on_tp = input(title="Move SL on TP1", type=input.bool, defval=true, inline="2", group="Exit Settings")

// Take Profit Settings
tp1_atr_multiplier = input(title="TP1 ATR Multiplier", type=input.float, defval=1.8, step=0.1, inline="3", group="Exit Settings")
tp1_exit_percentage = input(title="TP1 Exit Percentage", type=input.integer, defval=20, step=1, maxval=100, inline="3", group="Exit Settings")

tp2_atr_multiplier = input(title="TP2 ATR Multiplier", type=input.float, defval=2.2, step=0.1, inline="4", group="Exit Settings")
tp2_exit_percentage = input(title="TP2 Exit Percentage", type=input.integer, defval=30, step=1, maxval=100, inline="4", group="Exit Settings")

tp3_atr_multiplier = input(title="TP3 ATR Multiplier", type=input.float, defval=2.6, step=0.1, inline="5", group="Exit Settings")
tp3_exit_percentage = input(title="TP3 Exit Percentage", type=input.integer, defval=30, step=1, maxval=100, inline="5", group="Exit Settings")

tp4_atr_multiplier = input(title="TP4 ATR Multiplier", type=input.float, defval=4, step=0.1, inline="6", group="Exit Settings")
tp4_exit_percentage = input(title="TP4 Exit Percentage", type=input.integer, defval=10, step=1, maxval=100, inline="6", group="Exit Settings")

tp5_atr_multiplier = input(title="TP5 ATR Multiplier", type=input.float, defval=8, step=0.1, inline="7", group="Exit Settings")
tp5_exit_percentage = input(title="TP5 Exit Percentage", type=input.integer, defval=10, step=1, maxval=100, inline="7", group="Exit Settings")

var long_sl = close - (atr * sl_atr_multiplier)
var long_tp1 = close + (atr * tp1_atr_multiplier)
var long_tp2 = close + (atr * tp2_atr_multiplier)
var long_tp3 = close + (atr * tp3_atr_multiplier)
var long_tp4 = close + (atr * tp4_atr_multiplier)
var long_tp5 = close + (atr * tp5_atr_multiplier)

var short_sl = close + (atr * sl_atr_multiplier)
var short_tp1 = close - (atr * tp1_atr_multiplier)
var short_tp2 = close - (atr * tp2_atr_multiplier)
var short_tp3 = close - (atr * tp3_atr_multiplier)
var short_tp4 = close - (atr * tp4_atr_multiplier)
var short_tp5 = close - (atr * tp5_atr_multiplier)

var is_long_sl_moved = false
var is_short_sl_moved = false

is_open_long = strategy.position_size > 0
is_open_short = strategy.position_size < 0

var in_ssl_long = false
var in_ssl_short = false

var start_trading = false
var ssl_long_entry = false
var ssl_short_entry = false

var did_prev_bar_ssl_flip = false

// Ensure crossover occurrs before entering first position. This ensures first entry after chosen start date is an actual entry and not just entering on start date
if not ssl_long_entry and not ssl_short_entry and in_date and not start_trading
    start_trading := crossover(close, sslDown) or crossunder(close, sslDown)

if in_date and start_trading
    ssl_long_entry := close > sslDown and qqe_blue_bar and qqe_line > 0
    ssl_short_entry := close < sslDown and qqe_red_bar and qqe_line < 0

remaining_percent = 100
var total_tokens = float(na)
total_tokens := strategy.equity * 0.10 / close

tp1_percent = tp1_exit_percentage <= remaining_percent ? tp1_exit_percentage : remaining_percent
remaining_percent -= tp1_percent
entry_1 = total_tokens * (tp1_percent / 100)

tp2_percent = tp2_exit_percentage <= remaining_percent ? tp2_exit_percentage : remaining_percent
remaining_percent -= tp2_percent
entry_2 = total_tokens * (tp2_percent / 100)

tp3_percent = tp3_exit_percentage <= remaining_percent ? tp3_exit_percentage : remaining_percent
remaining_percent -= tp3_percent
entry_3 = total_tokens * (tp3_percent / 100)

tp4_percent = tp4_exit_percentage <= remaining_percent ? tp4_exit_percentage : remaining_percent
remaining_percent -= tp4_percent
entry_4 = total_tokens * (tp4_percent / 100)

tp5_percent = tp5_exit_percentage <= remaining_percent ? tp5_exit_percentage : remaining_percent
remaining_percent -= tp5_percent
entry_5 = total_tokens * (tp5_percent / 100)

if not is_long_sl_moved and high >= long_tp1 and move_sl_on_tp and use_tp_sl
    is_long_sl_moved := true
    strategy.exit("LongExit2", "LongEntry2", stop=strategy.position_avg_price, limit=long_tp2)
    strategy.exit("LongExit3", "LongEntry3", stop=strategy.position_avg_price, limit=long_tp3)
    strategy.exit("LongExit4", "LongEntry4", stop=strategy.position_avg_price, limit=long_tp4)
    strategy.exit("LongExit5", "LongEntry5", stop=strategy.position_avg_price, limit=long_tp5)
if not is_short_sl_moved and low <= short_tp1 and move_sl_on_tp and use_tp_sl
    is_short_sl_moved := true
    strategy.exit("ShortExit2", "ShortEntry2", stop=strategy.position_avg_price, limit=short_tp2)
    strategy.exit("ShortExit3", "ShortEntry3", stop=strategy.position_avg_price, limit=short_tp3)
    strategy.exit("ShortExit4", "ShortEntry4", stop=strategy.position_avg_price, limit=short_tp4)
    strategy.exit("ShortExit5", "ShortEntry5", stop=strategy.position_avg_price, limit=short_tp5)
    
if did_prev_bar_ssl_flip
    did_prev_bar_ssl_flip := false
    position_value = abs(strategy.position_size * close)
    if in_ssl_long
        label.new(x=bar_index, y=close, xloc=xloc.bar_index, yloc=yloc.abovebar, text=tostring(position_value), style=label.style_label_down, size=size.tiny)
    else
        label.new(x=bar_index, y=close, xloc=xloc.bar_index, yloc=yloc.belowbar, text=tostring(position_value), style=label.style_label_up, size=size.tiny)

if ssl_long_entry and in_date and not in_ssl_long
    in_ssl_long := true
    in_ssl_short := false
    did_prev_bar_ssl_flip := true
    long_sl := close - (atr * sl_atr_multiplier)
    long_tp1 := close + (atr * tp1_atr_multiplier)
    long_tp2 := close + (atr * tp2_atr_multiplier)
    long_tp3 := close + (atr * tp3_atr_multiplier)
    long_tp4 := close + (atr * tp4_atr_multiplier)
    long_tp5 := close + (atr * tp5_atr_multiplier)

    strategy.entry("LongEntry1", strategy.long, qty=entry_1)
    strategy.entry("LongEntry2", strategy.long, qty=entry_2)
    strategy.entry("LongEntry3", strategy.long, qty=entry_3)
    strategy.entry("LongEntry4", strategy.long, qty=entry_4)
    strategy.entry("LongEntry5", strategy.long, qty=entry_5)

    if use_tp_sl
        strategy.exit("LongExit1", "LongEntry1", stop=long_sl, limit=long_tp1)
        strategy.exit("LongExit2", "LongEntry2", stop=long_sl, limit=long_tp2)
        strategy.exit("LongExit3", "LongEntry3", stop=long_sl, limit=long_tp3)
        strategy.exit("LongExit4", "LongEntry4", stop=long_sl, limit=long_tp4)
        strategy.exit("LongExit5", "LongEntry5", stop=long_sl, limit=long_tp5)
        is_long_sl_moved := false

if ssl_short_entry and in_date and not in_ssl_short
    in_ssl_short := true
    in_ssl_long := false
    did_prev_bar_ssl_flip := true
    short_sl := close + (atr * sl_atr_multiplier)
    short_tp1 := close - (atr * tp1_atr_multiplier)
    short_tp2 := close - (atr * tp2_atr_multiplier)
    short_tp3 := close - (atr * tp3_atr_multiplier)
    short_tp4 := close - (atr * tp4_atr_multiplier)
    short_tp5 := close - (atr * tp5_atr_multiplier)
    
    strategy.entry("ShortEntry1", strategy.short, qty=entry_1)
    strategy.entry("ShortEntry2", strategy.short, qty=entry_2)
    strategy.entry("ShortEntry3", strategy.short, qty=entry_3)
    strategy.entry("ShortEntry4", strategy.short, qty=entry_4)
    strategy.entry("ShortEntry5", strategy.short, qty=entry_5)
    
    if use_tp_sl
        strategy.exit("ShortExit1", "ShortEntry1", stop=short_sl, limit=short_tp1)
        strategy.exit("ShortExit2", "ShortEntry2", stop=short_sl, limit=short_tp2)
        strategy.exit("ShortExit3", "ShortEntry3", stop=short_sl, limit=short_tp3)
        strategy.exit("ShortExit4", "ShortEntry4", stop=short_sl, limit=short_tp4)
        strategy.exit("ShortExit5", "ShortEntry5", stop=short_sl, limit=short_tp5)
        is_short_sl_moved := false
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