SSL Hybrid Exit Arrow Quant Strategy
Author: ChaoZhang, Date: 2023-12-06 15:54:12Tags:
Overview
The SSL Hybrid Exit Arrow Quant Strategy is a short-term quantitative trading strategy based on moving averages and maximum/minimum price indicators. It utilizes the EXIT arrows of the SSL hybrid indicator to determine entry and exit points, with the QQE indicator as a filter, and calculates stop loss and add-on positions with the ATR indicator. This strategy suits investors who are sensitive to market volatility and have strict risk control.
Strategy Logic
This strategy uses the EXIT arrows of the SSL hybrid indicator to determine entry points. Above the EXIT arrows are the EXIT high points, and below them are the EXIT low points. A sell signal is generated when the close price crosses below the EXIT high point, and a buy signal is generated when the close price crosses above the EXIT low point.
To improve signal reliability, the QQE indicator is introduced as an auxiliary filter condition. Signals generated by the EXIT arrows are only executed when the QQE indicator is in the same direction.
To control risks, this strategy uses ATR multiples to calculate stop loss and add-on positions. The stop loss for short positions is close price + ATR × 1.8. The stop loss for long positions is close price – ATR × 1.8. Positions are added in three batches, with the amount of each batch being 10% of the initial amount. The add-on price levels are: close price – ATR × 0.1, close price – ATR × 0.3, and close price – ATR × 0.7.
Each batch of add-on positions has its own stop loss. The first batch of 20% of position size will stop loss when reaching the stop loss level, while the remaining positions continue to hold.
Advantages
- Profit from EXIT arrows and effectively control risks with timely stop loss
- The QQE filter improves signal accuracy
- Use the ATR indicator to calculate dynamic stop loss and add-on positions based on market volatility for more precise risk control
- Take full advantage of trends through batched add-on positions
Risks
- Partial stop loss of profitable positions may expose the remaining positions to further stop loss. Consider overall profit taking or fundamentals-based stop loss.
- Differences in sensitivity to market volatility between EXIT arrows and QQE may cause conflicting signals. Parameters should be adjusted to reduce signal conflicts.
- Overly aggressive add-on positions are prone to chasing tops and dumping bottoms. Positions sizes should match market conditions.
Optimization Directions
- Incorporate fundamental indicators like P/B ratio, P/E ratio and dividend yield for fundamentals-based profit taking levels.
- Adjust QQE parameters to align signals with EXIT arrows.
- Reduce add-on ratios based on market sentiment in ranging markets.
- Test optimum parameter sets based on max drawdown, risk-reward ratios etc.
Summary
This strategy uses the EXIT arrows of the SSL hybrid indicator as the signal core, with the QQE and ATR indicators as filters and for stop loss. Profit compounding is achieved through batched add-on positions. It is a short-term quantitative strategy suitable for tracking short-term market trends. The strategy has drawdown control and risk mitigation capabilities, but risks like signal conflicts and chasing tops/smashing bottoms should be noted. Incorporating fundamentals-based profit taking and being more prudent when determining oscillating markets and reducing add-on ratios can further expand this strategy’s profit potential.
/*backtest
start: 2023-11-28 00:00:00
end: 2023-12-05 00:00:00
period: 1m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
args: [["TradeAmount",2,358374]]
*/
//@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 Exit Arrow Strategy", overlay=true)
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)
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
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
// ----------------------------------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 entry and exit settings
// Should use SSL as a filter for position side
use_ssl_filter = input(title="SSL Flip as Filter", type=input.bool, defval=false, inline="1", group="Entry Settings")
// Should use SSL as a filter for position side
use_qqe_filter = input(title="QQE MOD as Filter (Please add QQE MOD indicator to your chart separately)", type=input.bool, defval=false, inline="2", group="Entry Settings")
// DCA Settings
dca1_atr_multiplier = input(title="DCA1 ATR Multiplier", type=input.float, defval=0.1, step=0.1, inline="3", group="Entry Settings")
dca1_exit_percentage = input(title="DCA1 Exit Percentage", type=input.integer, defval=20, step=1, maxval=100, inline="3", group="Entry Settings")
dca2_atr_multiplier = input(title="DCA2 ATR Multiplier", type=input.float, defval=0.3, step=0.1, inline="4", group="Entry Settings")
dca2_exit_percentage = input(title="DCA2 Exit Percentage", type=input.integer, defval=40, step=1, maxval=100, inline="4", group="Entry Settings")
dca3_atr_multiplier = input(title="DCA3 ATR Multiplier", type=input.float, defval=0.7, step=0.1, inline="5", group="Entry Settings")
dca3_exit_percentage = input(title="DCA3 Exit Percentage", type=input.integer, defval=40, step=1, maxval=100, inline="5", group="Entry Settings")
// Stop-Loss Settings
sl_atr_multiplier = input(title="SL ATR Multiplier", type=input.float, defval=1.8, step=0.1, inline="2", group="Exit Settings")
var long_sl = float(na)
var long_dca1 = float(na)
var long_dca2 = float(na)
var long_dca3 = float(na)
var short_sl = float(na)
var short_dca1 = float(na)
var short_dca2 = float(na)
var short_dca3 = float(na)
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 ssl_long_entry = false
var ssl_short_entry = false
var ssl_long_exit = false
var ssl_short_exit = false
var did_prev_bar_ssl_flip = false
ssl_long = use_ssl_filter ? close > sslDown : true
ssl_short = use_ssl_filter ? close < sslDown : true
qqe_long = use_qqe_filter ? (qqe_blue_bar and qqe_line > 0) : true
qqe_short = use_qqe_filter ? (qqe_red_bar and qqe_line < 0) : true
ssl_long_entry := ssl_long and qqe_long and codiff == 1
ssl_short_entry := ssl_short and qqe_short and codiff == -1
ssl_long_exit := codiff == -1
ssl_short_exit := codiff == 1
remaining_percent = 100
var total_tokens = strategy.equity * 0.10 / close
dca1_percent = dca1_exit_percentage <= remaining_percent ? dca1_exit_percentage : remaining_percent
remaining_percent -= dca1_percent
entry_1 = total_tokens * (dca1_percent / 100)
dca2_percent = dca2_exit_percentage <= remaining_percent ? dca2_exit_percentage : remaining_percent
remaining_percent -= dca2_percent
entry_2 = total_tokens * (dca2_percent / 100)
dca3_percent = dca3_exit_percentage <= remaining_percent ? dca3_exit_percentage : remaining_percent
remaining_percent -= dca3_percent
entry_3 = total_tokens * (dca3_percent / 100)
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_exit
strategy.cancel("LongEntry1")
strategy.cancel("LongEntry2")
strategy.cancel("LongEntry3")
strategy.close(id="LongEntry1", comment="Close Long1")
strategy.close(id="LongEntry2", comment="Close Long2")
strategy.close(id="LongEntry3", comment="Close Long3")
in_ssl_long := false
in_ssl_short := false
if ssl_short_exit
strategy.cancel("ShortEntry1")
strategy.cancel("ShortEntry2")
strategy.cancel("ShortEntry3")
strategy.close(id="ShortEntry1", comment="Close Short1")
strategy.close(id="ShortEntry2", comment="Close Short2")
strategy.close(id="ShortEntry3", comment="Close Short3")
in_ssl_long := false
in_ssl_short := false
if ssl_long_entry and in_date and not in_ssl_long
strategy.cancel("LongEntry1")
strategy.cancel("LongEntry2")
strategy.cancel("LongEntry3")
strategy.cancel("ShortEntry1")
strategy.cancel("ShortEntry2")
strategy.cancel("ShortEntry3")
if in_ssl_short
strategy.close(id="ShortEntry1", comment="Close Short1")
strategy.close(id="ShortEntry2", comment="Close Short2")
strategy.close(id="ShortEntry3", comment="Close Short3")
in_ssl_long := true
in_ssl_short := false
did_prev_bar_ssl_flip := true
long_sl := close - (atr * sl_atr_multiplier)
long_dca1 := close - (atr * dca1_atr_multiplier)
long_dca2 := close - (atr * dca2_atr_multiplier)
long_dca3 := close - (atr * dca3_atr_multiplier)
strategy.entry("LongEntry1", strategy.long, limit=long_dca1)
strategy.entry("LongEntry2", strategy.long, limit=long_dca2)
strategy.entry("LongEntry3", strategy.long, limit=long_dca3)
strategy.exit("LongExit1", "LongEntry1", stop=long_sl)
strategy.exit("LongExit2", "LongEntry2", stop=long_sl)
strategy.exit("LongExit3", "LongEntry3", stop=long_sl)
if ssl_short_entry and in_date and not in_ssl_short
strategy.cancel("LongEntry1")
strategy.cancel("LongEntry2")
strategy.cancel("LongEntry3")
strategy.cancel("ShortEntry1")
strategy.cancel("ShortEntry2")
strategy.cancel("ShortEntry3")
if in_ssl_long
strategy.close(id="LongEntry1", comment="Close Long1")
strategy.close(id="LongEntry2", comment="Close Long2")
strategy.close(id="LongEntry3", comment="Close Long3")
in_ssl_short := true
in_ssl_long := false
did_prev_bar_ssl_flip := true
short_sl := close + (atr * sl_atr_multiplier)
short_dca1 := close + (atr * dca1_atr_multiplier)
short_dca2 := close + (atr * dca2_atr_multiplier)
short_dca3 := close + (atr * dca3_atr_multiplier)
strategy.entry("ShortEntry1", strategy.short, limit=short_dca1)
strategy.entry("ShortEntry2", strategy.short, limit=short_dca2)
strategy.entry("ShortEntry3", strategy.short, limit=short_dca3)
strategy.exit("ShortExit1", "ShortEntry1", stop=short_sl)
strategy.exit("ShortExit2", "ShortEntry2", stop=short_sl)
strategy.exit("ShortExit3", "ShortEntry3", stop=short_sl)
More
- Trend Following Strategy with EMA
- Double Reversal Percentage Change Bar Quantitative Strategy
- Bollinger Bands Reversal with MA Trend Filter
- RSI Based Quantitative Trading Strategy
- Multi Moving Average Crossover Trading Strategy
- Moving Average Crossover Strategy
- Auto S/R Breakout Strategy
- Momentum Price Channel Opening and Closing Strategy
- Improved Moving Average Crossover Strategy with Market Trend Guidance
- Dynamic Candlestick Big Yang Line Trading Strategy
- Dual Moving Average ADX Timing Strategy
- BB Percentage Index Trend Fading Strategy
- MACD Bollinger Turtle Trading Strategy
- Triple SuperTrend and Stoch RSI Strategy
- 1% Profit Moving Average Cross Strategy
- Weighted Quantitative Moving Average Crossover Trading Strategy
- multiple auxiliary RSI indicator strategy
- Dual Moving Average Crossover Trend Strategy
- Reversal Bollinger Bands Strategy
- An Adaptive ATR-ADX Trend Strategy V2