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Strategy vault / Momentum

SSL Momentum Combo Trading Strategy

This strategy combines the SSL channel with the QQE momentum indicator to form a comprehensive trend assessment system. It enters when price breaks the SSL channel, with extra confirmation from QQE signals. Stops and…

Author
ChaoZhang
Complexity
Advanced · 549 lines
Parameters
54
Backtest bar
2h · intraday
Tested on
BTC/USDT · futures

Overview

This strategy combines the SSL channel with the QQE momentum indicator to form a comprehensive trend assessment system. It enters when price breaks the SSL channel, with extra confirmation from QQE signals. Stops and exits are implemented for risk management.

Strategy Logic

The key components are:

  1. SSL channel: Identifying price trend.

  2. QQE indicator: Confirming momentum.

  3. Breakout entry: Price breaking SSL bands combined with QQE signals.

  4. Stops and exits: ATR-based stops and exits to control loss/profit per trade.

  5. Scaling in: Gradual position build-up, profit taking and re-allocation.

The combo of trend and momentum tools forms a strategy with both trend following ability and risk control.

Advantages

Compared to single indicator strategies, the advantages are:

  1. SSL for trend, QQE for reversals - good complementarity.

  2. Breakout entries avoid buying at highs.

  3. Reasonable stops and exits control risk/reward per trade.

  4. Scaling in lowers risk, profit taking locks in gains.

  5. Large optimization space for finding optimum parameters.

  6. Flexible application across different markets and timeframes.

  7. Potential to apply machine learning for smarter optimizations.

  8. Overall more stable with better risk-adjusted returns than single indicators.

Risks

However, the main risks are:

  1. Challenging multi-parameter optimization with overfitting risks.

  2. SSL and QQE have some lagging.

  3. Increased complexity with multiple indicators.

  4. Scaling in may increase slippage costs.

  5. Need to monitor maximum drawdown.

  6. Performance subject to changing market regimes.

  7. Robustness across periods and instruments needs verification.

  8. High trade frequency increases transaction costs.

Enhancements

Based on the analysis, enhancements may involve:

  1. Evaluating parameter robustness across different markets and timeframes.

  2. Implementing dynamic stops and exits.

  3. Optimizing risk management strategies.

  4. Constructing dynamic position sizing models.

  5. Incorporating machine learning for smarter entries.

  6. Rolling window backtests to verify stability.

  7. Assessing transaction cost impact and adjusting frequency.

  8. Optimizing scaling size proportions.

  9. Continual improvements for market adaptiveness.

Conclusion

In summary, the tight integration of SSL and QQE forms a stable trend following system. But continual optimizations and iterations are crucial for any strategy to stay adaptive. Only through persistent learning and validation can quant strategies achieve sustainable success.

Parameters

NameDefaultWhat it controls
v_input_276RSI Length
v_input_285RSI Smoothing
v_input_293Fast QQE Factor
v_input_303Thresh-hold
v_input_31_close0RSI Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_3250Bollinger Length
v_input_330.35BB Multiplier
v_input_346RSI Length
v_input_355RSI Smoothing
v_input_361.61Fast QQE2 Factor
v_input_373Thresh-hold
v_input_38_close0RSI Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_1true(?SSL Hybrid Indicator Settings)Show Baseline
v_input_2trueShow SSL1
v_input_3falseShow ATR bands
v_input_414ATR Period
v_input_5trueATR Multi
v_input_60ATR Smoothing: WMA | SMA | EMA | RMA
v_input_70SSL1 / Baseline Type: HMA | EMA | DEMA | TEMA | LSMA | WMA | MF | VAMA | TMA | SMA | JMA | Kijun v2 | EDSMA | McGinley
v_input_860SSL1 / Baseline Length
v_input_90SSL2 / Continuation Type: JMA | EMA | DEMA | TEMA | WMA | MF | VAMA | TMA | HMA | SMA | McGinley
v_input_105SSL 2 Length
v_input_110EXIT Type: HMA | TEMA | LSMA | VAMA | TMA | DEMA | JMA | Kijun v2 | McGinley | MF
v_input_1215EXIT Length
v_input_13_close0Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_14trueKijun MOD Divider
v_input_153* Jurik (JMA) Only - Phase
v_input_16true* Jurik (JMA) Only - Power
v_input_1710* Volatility Adjusted (VAMA) Only - Volatility lookback length
v_input_180.8Modular Filter, General Filter Only - Beta
v_input_19falseModular Filter Only - Feedback
v_input_200.5Modular Filter Only - Feedback Weighting
v_input_2120EDSMA - Super Smoother Filter Length
v_input_220EDSMA - Super Smoother Filter Poles: 2 | 3
v_input_23trueuseTrueRange
v_input_240.2Base Channel Multiplier
v_input_25trueColor Bars
v_input_260.9Continuation ATR Criteria
v_input_3914(?Strategy Back Test Settings)ATR Length
v_input_40timestamp(01 Aug 2021 00:00 +0100)(?Date Range)From
v_input_41timestamp(01 Sep 2021 00:00 +0100)To
v_input_42true(?Exit Settings)Use TP & SL
v_input_431.6SL ATR Multiplier
v_input_44trueMove SL on TP1
v_input_451.8TP1 ATR Multiplier
v_input_4620TP1 Exit Percentage
v_input_472.2TP2 ATR Multiplier
v_input_4830TP2 Exit Percentage
v_input_492.6TP3 ATR Multiplier
v_input_5030TP3 Exit Percentage
v_input_514TP4 ATR Multiplier
v_input_5210TP4 Exit Percentage
v_input_538TP5 ATR Multiplier
v_input_5410TP5 Exit Percentage

Source Pine Script

/*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

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-23. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.

in Claude Code, Cursor, Codex & 4 more
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  2. Paste the command into your agent and approve each phase
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