Dynamische Trendstrategie mit mehreren gleitenden Durchschnitten


Erstellungsdatum: 2023-11-23 15:40:15 zuletzt geändert: 2023-11-23 15:40:15
Kopie: 0 Klicks: 357
1
konzentrieren Sie sich auf
1141
Anhänger

Dynamische Trendstrategie mit mehreren gleitenden Durchschnitten

Überblick

Die Multiple Moving Average Dynamic Trend Strategy ist eine quantitative Trading-Strategie, die die Richtung von Trends anhand von mehreren Moving Average-Indikatoren ermittelt und die Position der Stop-Loss-Linie dynamisch anpasst. Durch die Kombination verschiedener Arten von Moving Averages kann die Marktentwicklung umfassender und genauer beurteilt werden, wodurch eine hohe Gewinnrate erzielt wird.

Strategieprinzip

Die Strategie umfasst 8 verschiedene Arten von Moving Averages, die hauptsächlich durch eine benutzerdefinierte Funktion realisiert werden, darunter einfache Moving Averages (SMA), Index Moving Averages (EMA), Gewichtung Moving Averages (WMA), Triangle Moving Averages (TMA), Variable Index Moving Averages (VIDYA), Wilder Moving Averages (WWMA), Zero Lag Indicator Moving Averages (ZLEMA) und True Strength Indicators (TSF). Die Strategie erlaubt dem Benutzer, einen dieser 8 Moving Averages als Hauptindikator zu wählen.

Die Strategie berechnet zunächst einen Moving Average für den gewählten Typ und berechnet dann dynamisch die Position der Auf- und Abfahrt nach den festgelegten Prozentparametern. Wenn der Preis die Auffahrt durchbricht, ist dies ein Kaufsignal, wenn er die Abfahrt durchbricht, ist dies ein Verkaufsignal. Außerdem verfolgt die Strategie die Kreuzung von Moving Averages und Preisen als Hilfssignal.

Die Strategie beurteilt gleichzeitig die Richtung des Markttrends, um die Position des Auf- und Abgangs dynamisch anzupassen. Insbesondere wird die Abwärtslinie mit steigenden Preisen angepasst, so dass die Stop-Loss-Linie den Preisanstieg optimal verfolgen kann. Wenn die Aufwärtslinie mit fallenden Preisen angepasst wird, wird der Stop-Loss-Punkt reduziert, um die Verluste zu verringern.

Strategische Vorteile

  • Die Kombination von acht Moving Average-Indikatoren ist eine sehr gute Möglichkeit, die Marktentwicklung zu beurteilen.
  • Dynamische Anpassung der Position der Stop-Line, um den Gewinn zu maximieren und die Umkehrung des Stop-Losses zu vermeiden;
  • Durch die Kreuzung von Moving Averages und Preisen als Hilfssignale können falsche Transaktionen, die durch falsche Durchbrüche verursacht werden, gefiltert werden.
  • Die Strategieparameter können individuell optimiert werden und für verschiedene Marktumgebungen verwendet werden.

Risiken und Lösungen

  • Die Verwendung von mehreren Kennzahlen erhöht die Komplexität der Strategie und macht die Debugging des Codes schwieriger.
  • Einige Arten von Moving Average-Indikatoren sind in bestimmten Marktumständen nicht so effektiv;
  • Die Gefahr von Fehltransaktionen durch falsche Durchbrüche besteht weiterhin.

Entsprechende Lösungen:

  • Hinzufügen von Code-Kommentaren, Verbesserung der Code-Lesbarkeit, einfache Überprüfung und Debug;
  • Die Wahl der Moving Average-Typen für die Marktsituation kann auch mit einem automatischen Optionsmodul erfolgen.
  • Optimierte Parameter-Einstellungen, kombiniert mit mehr Hilfsindikatoren, um die Signalfilter zu filtern.

Richtung der Strategieoptimierung

Die Strategie bietet viel Optimierungsmöglichkeiten:

  • Es kann ein automatisches Parameteroptimierungsmodul hinzugefügt werden, das die Parameter automatisch an die verschiedenen Marktbedingungen anpasst.
  • Die Entwicklung von Trends kann mit Hilfe von Machine Learning-Modellen erfasst werden.
  • Es ist möglich, zusätzliche Hilfsindikatoren wie Emotionsindikatoren einzubeziehen, um die Strategie zu stabilisieren.
  • Die Schadensbegrenzung kann optimiert werden, um eine dynamischere und präzisere Schadensbegrenzung zu ermöglichen.
  • Die Arbitrage-Strategie kann auf mehrere Sorten ausgedehnt werden, um die Preisunterschiede zwischen den Sorten zu nutzen.

Zusammenfassen

Die Multiple Moving Average Trendstrategie beurteilt die Markttrends durch die Kombination von mehreren Moving Average-Indikatoren und unterstützt die Ausgabe von Handelsanweisungen durch Preisbruchsignale, während die Position der Stop-Loss-Linie dynamisch angepasst wird, um einen effizienten Gewinn zu erzielen. Die Strategie kombiniert erfolgreich die drei Mainstream-Quantifizierungsstrategien Trendfolgen, Breakout-Handel und Dynamische Stop-Loss.

Strategiequellcode
/*backtest
start: 2022-11-16 00:00:00
end: 2023-11-22 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © KivancOzbilgic

//created by: @Anil_Ozeksi
//developer: ANIL ÖZEKŞİ
//author: @kivancozbilgic

strategy("Optimized Trend Tracker","OTTEx", overlay=true)
src = input(close, title="Source")
length=input(2, "OTT Period", minval=1)
percent=input(1.4, "OTT Percent", type=input.float, step=0.1, minval=0)
showsupport = input(title="Show Support Line?", type=input.bool, defval=true)
showsignalsk = input(title="Show Support Line Crossing Signals?", type=input.bool, defval=true)
showsignalsc = input(title="Show Price/OTT Crossing Signals?", type=input.bool, defval=false)
highlight = input(title="Show OTT Color Changes?", type=input.bool, defval=false)
showsignalsr = input(title="Show OTT Color Change Signals?", type=input.bool, defval=false)
highlighting = input(title="Highlighter On/Off ?", type=input.bool, defval=true)
mav = input(title="Moving Average Type", defval="VAR", options=["SMA", "EMA", "WMA", "TMA", "VAR", "WWMA", "ZLEMA", "TSF"])
Var_Func(src,length)=>
    valpha=2/(length+1)
    vud1=src>src[1] ? src-src[1] : 0
    vdd1=src<src[1] ? src[1]-src : 0
    vUD=sum(vud1,9)
    vDD=sum(vdd1,9)
    vCMO=nz((vUD-vDD)/(vUD+vDD))
    VAR=0.0
    VAR:=nz(valpha*abs(vCMO)*src)+(1-valpha*abs(vCMO))*nz(VAR[1])
VAR=Var_Func(src,length)
Wwma_Func(src,length)=>
    wwalpha = 1/ length
    WWMA = 0.0
    WWMA := wwalpha*src + (1-wwalpha)*nz(WWMA[1])
WWMA=Wwma_Func(src,length)
Zlema_Func(src,length)=>
    zxLag = length/2==round(length/2) ? length/2 : (length - 1) / 2
    zxEMAData = (src + (src - src[zxLag]))
    ZLEMA = ema(zxEMAData, length)
ZLEMA=Zlema_Func(src,length)
Tsf_Func(src,length)=>
    lrc = linreg(src, length, 0)
    lrc1 = linreg(src,length,1)
    lrs = (lrc-lrc1)
    TSF = linreg(src, length, 0)+lrs
TSF=Tsf_Func(src,length)
getMA(src, length) =>
    ma = 0.0
    if mav == "SMA"
        ma := sma(src, length)
        ma

    if mav == "EMA"
        ma := ema(src, length)
        ma

    if mav == "WMA"
        ma := wma(src, length)
        ma

    if mav == "TMA"
        ma := sma(sma(src, ceil(length / 2)), floor(length / 2) + 1)
        ma

    if mav == "VAR"
        ma := VAR
        ma

    if mav == "WWMA"
        ma := WWMA
        ma

    if mav == "ZLEMA"
        ma := ZLEMA
        ma

    if mav == "TSF"
        ma := TSF
        ma
    ma
    
MAvg=getMA(src, length)
fark=MAvg*percent*0.01
longStop = MAvg - fark
longStopPrev = nz(longStop[1], longStop)
longStop := MAvg > longStopPrev ? max(longStop, longStopPrev) : longStop
shortStop =  MAvg + fark
shortStopPrev = nz(shortStop[1], shortStop)
shortStop := MAvg < shortStopPrev ? min(shortStop, shortStopPrev) : shortStop
dir = 1
dir := nz(dir[1], dir)
dir := dir == -1 and MAvg > shortStopPrev ? 1 : dir == 1 and MAvg < longStopPrev ? -1 : dir
MT = dir==1 ? longStop: shortStop
OTT=MAvg>MT ? MT*(200+percent)/200 : MT*(200-percent)/200 
plot(showsupport ? MAvg : na, color=#0585E1, linewidth=2, title="Support Line")
OTTC = highlight ? OTT[2] > OTT[3] ? color.green : color.red : #B800D9 
pALL=plot(nz(OTT[2]), color=OTTC, linewidth=2, title="OTT", transp=0)
alertcondition(cross(OTT[2], OTT[3]), title="Color ALARM", message="OTT Has Changed Color!")
alertcondition(crossover(OTT[2], OTT[3]), title="GREEN ALERT", message="OTT GREEN BUY SIGNAL!")
alertcondition(crossunder(OTT[2], OTT[3]), title="RED ALERT", message="OTT RED SELL SIGNAL!")
alertcondition(cross(MAvg, OTT[2]), title="Cross Alert", message="OTT - Support Line Crossing!")
alertcondition(crossover(MAvg, OTT[2]), title="Crossover Alarm", message="Support Line BUY SIGNAL!")
alertcondition(crossunder(MAvg, OTT[2]), title="Crossunder Alarm", message="Support Line SELL SIGNAL!")
alertcondition(cross(src, OTT[2]), title="Price Cross Alert", message="OTT - Price Crossing!")
alertcondition(crossover(src, OTT[2]), title="Price Crossover Alarm", message="PRICE OVER OTT - BUY SIGNAL!")
alertcondition(crossunder(src, OTT[2]), title="Price Crossunder Alarm", message="PRICE UNDER OTT - SELL SIGNAL!")
buySignalk = crossover(MAvg, OTT[2])
plotshape(buySignalk and showsignalsk ? OTT*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white, transp=0)
sellSignallk = crossunder(MAvg, OTT[2])
plotshape(sellSignallk and showsignalsk ? OTT*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white, transp=0)
buySignalc = crossover(src, OTT[2])
plotshape(buySignalc and showsignalsc ? OTT*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white, transp=0)
sellSignallc = crossunder(src, OTT[2])
plotshape(sellSignallc and showsignalsc ? OTT*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white, transp=0)
mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0,display=display.none)
longFillColor = highlighting ? (MAvg>OTT ? color.green : na) : na
shortFillColor = highlighting ? (MAvg<OTT ? color.red : na) : na
fill(mPlot, pALL, title="UpTrend Highligter", color=longFillColor)
fill(mPlot, pALL, title="DownTrend Highligter", color=shortFillColor)
buySignalr = crossover(OTT[2], OTT[3])
plotshape(buySignalr and showsignalsr ? OTT*0.995 : na, title="Buy", text="Buy", location=location.absolute, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white, transp=0)
sellSignallr = crossunder(OTT[2], OTT[3])
plotshape(sellSignallr and showsignalsr ? OTT*1.005 : na, title="Sell", text="Sell", location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white, transp=0)
showscr = input(true, title="Show Screener Label")
posX_scr = input(20, title="Pos. Label x-axis")
posY_scr = input(1, title="Pos. Size Label y-axis")
colinput = input(title="Label Color", defval="Blue", options=["White", "Black", "Red", "Green", "Yellow", "Blue"])
col = color.gray
if colinput=="White"
    col:=color.white
if colinput=="Black"
    col:=color.black
if colinput=="Red"
    col:=color.red
if colinput=="Green"
    col:=color.green
if colinput=="Yellow"
    col:=color.yellow
if colinput=="Blue"
    col:=color.blue
dummy0 = input(true, title = "=Backtest Inputs=")
FromDay    = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
FromMonth  = input(defval = 1, title = "From Month", minval = 1, maxval = 12)
FromYear   = input(defval = 2005, title = "From Year", minval = 2005)
ToDay      = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
ToMonth    = input(defval = 1, title = "To Month", minval = 1, maxval = 12)
ToYear     = input(defval = 9999, title = "To Year", minval = 2006)
Start     = timestamp(FromYear, FromMonth, FromDay, 00, 00)
Finish    = timestamp(ToYear, ToMonth, ToDay, 23, 59)
Timerange() => true
if buySignalk
    strategy.entry("Long", strategy.long,when=Timerange())
if sellSignallk
    strategy.entry("Short", strategy.short,when=Timerange())
// t1=input('EURUSD',   title='Symbol 01',type=input.symbol)
// t2=input('XAUUSD',    title='Symbol 02',type=input.symbol)
// t3=input('AMZN',    title='Symbol 03',type=input.symbol)
// t4=input('TSLA',    title='Symbol 04',type=input.symbol)
// t5=input('BTCUSDT',    title='Symbol 05',type=input.symbol)
// t6=input('ETHBTC',    title='Symbol 06',type=input.symbol)
// t7=input('XBTUSD',    title='Symbol 07',type=input.symbol)
// t8=input('XRPBTC',    title='Symbol 08',type=input.symbol)
// t9=input('THYAO',   title='Symbol 09',type=input.symbol)
// t10=input('GARAN',    title='Symbol 10',type=input.symbol)
// t11=input('',      title='Symbol 11',type=input.symbol)
// t12=input('',      title='Symbol 12',type=input.symbol)
// t13=input('',      title='Symbol 13',type=input.symbol)
// t14=input('',      title='Symbol 14',type=input.symbol)
// t15=input('',      title='Symbol 15',type=input.symbol)
// t16=input('',     title='Symbol 16',type=input.symbol)
// t17=input('',    title='Symbol 17',type=input.symbol)
// t18=input('',    title='Symbol 18',type=input.symbol)
// t19=input('',    title='Symbol 19',type=input.symbol)
// t20=input('',    title='Symbol 20',type=input.symbol)
// OTTs(percent, length) =>
//     Up=MAvg-MAvg*percent*0.01
//     Dn=MAvg+MAvg*percent*0.01
    
//     TrendUp = 0.0
//     TrendUp := MAvg[1]>TrendUp[1] ? max(Up,TrendUp[1]) : Up
//     TrendDown = 0.0
//     TrendDown := MAvg[1]<TrendDown[1]? min(Dn,TrendDown[1]) : Dn
//     Trend = 0.0
//     Trend := MAvg > TrendDown[1] ? 1: MAvg< TrendUp[1]? -1: nz(Trend[1],1)
//     Tsl = Trend==1? TrendUp: TrendDown
    
//     S_Buy = Trend == 1 ? 1 : 0
//     S_Sell = Trend != 1 ? 1 : 0
    
//     [Trend, Tsl]
// [Trend, Tsl] =  OTTs(percent, length)
// TrendReversal = Trend != Trend[1]
// [t01, s01] = security(t1, timeframe.period, OTTs(percent, length))
// [t02, s02] = security(t2, timeframe.period, OTTs(percent, length))
// [t03, s03] = security(t3, timeframe.period, OTTs(percent, length))
// [t04, s04] = security(t4, timeframe.period, OTTs(percent, length))
// [t05, s05] = security(t5, timeframe.period, OTTs(percent, length))
// [t06, s06] = security(t6, timeframe.period, OTTs(percent, length))
// [t07, s07] = security(t7, timeframe.period, OTTs(percent, length))
// [t08, s08] = security(t8, timeframe.period, OTTs(percent, length))
// [t09, s09] = security(t9, timeframe.period, OTTs(percent, length))
// [t010, s010] = security(t10, timeframe.period, OTTs(percent, length))
// [t011, s011] = security(t11, timeframe.period, OTTs(percent, length))
// [t012, s012] = security(t12, timeframe.period, OTTs(percent, length))
// [t013, s013] = security(t13, timeframe.period, OTTs(percent, length))
// [t014, s014] = security(t14, timeframe.period, OTTs(percent, length))
// [t015, s015] = security(t15, timeframe.period, OTTs(percent, length))
// [t016, s016] = security(t16, timeframe.period, OTTs(percent, length))
// [t017, s017] = security(t17, timeframe.period, OTTs(percent, length))
// [t018, s018] = security(t18, timeframe.period, OTTs(percent, length))
// [t019, s019] = security(t19, timeframe.period, OTTs(percent, length))
// [t020, s020] = security(t20, timeframe.period, OTTs(percent, length))
// tr01 = t01 != t01[1], up01 = t01 == 1, dn01 = t01 == -1
// tr02 = t02 != t02[1], up02 = t02 == 1, dn02 = t02 == -1
// tr03 = t03 != t03[1], up03 = t03 == 1, dn03 = t03 == -1
// tr04 = t04 != t04[1], up04 = t04 == 1, dn04 = t04 == -1
// tr05 = t05 != t05[1], up05 = t05 == 1, dn05 = t05 == -1
// tr06 = t06 != t06[1], up06 = t06 == 1, dn06 = t06 == -1
// tr07 = t07 != t07[1], up07 = t07 == 1, dn07 = t07 == -1
// tr08 = t08 != t08[1], up08 = t08 == 1, dn08 = t08 == -1
// tr09 = t09 != t09[1], up09 = t09 == 1, dn09 = t09 == -1
// tr010 = t010 != t010[1], up010 = t010 == 1, dn010 = t010 == -1
// tr011 = t011 != t011[1], up011 = t011 == 1, dn011 = t011 == -1
// tr012 = t012 != t012[1], up012 = t012 == 1, dn012 = t012 == -1
// tr013 = t013 != t013[1], up013 = t013 == 1, dn013 = t013 == -1
// tr014 = t014 != t014[1], up014 = t014 == 1, dn014 = t014 == -1
// tr015 = t015 != t015[1], up015 = t015 == 1, dn015 = t015 == -1
// tr016 = t016 != t016[1], up016 = t016 == 1, dn016 = t016 == -1
// tr017 = t017 != t017[1], up017 = t017 == 1, dn017 = t017 == -1
// tr018 = t018 != t018[1], up018 = t018 == 1, dn018 = t018 == -1
// tr019 = t019 != t019[1], up019 = t019 == 1, dn019 = t019 == -1
// tr020 = t020 != t020[1], up020 = t020 == 1, dn020 = t020 == -1
// pot_label = 'Potential Reversal: \n'
// pot_label := tr01    ? pot_label + t1 + '\n'  : pot_label
// pot_label := tr02    ? pot_label + t2 + '\n'  : pot_label
// pot_label := tr03    ? pot_label + t3 + '\n'  : pot_label
// pot_label := tr04    ? pot_label + t4 + '\n'  : pot_label
// pot_label := tr05    ? pot_label + t5 + '\n'  : pot_label
// pot_label := tr06    ? pot_label + t6 + '\n'  : pot_label
// pot_label := tr07    ? pot_label + t7 + '\n'  : pot_label
// pot_label := tr08    ? pot_label + t8 + '\n'  : pot_label
// pot_label := tr09    ? pot_label + t9 + '\n'  : pot_label
// pot_label := tr010    ? pot_label + t10 + '\n'  : pot_label
// pot_label := tr011    ? pot_label + t11 + '\n'  : pot_label
// pot_label := tr012    ? pot_label + t12 + '\n'  : pot_label
// pot_label := tr013    ? pot_label + t13 + '\n'  : pot_label
// pot_label := tr014    ? pot_label + t14 + '\n'  : pot_label
// pot_label := tr015    ? pot_label + t15 + '\n'  : pot_label
// pot_label := tr016    ? pot_label + t16 + '\n'  : pot_label
// pot_label := tr017    ? pot_label + t17 + '\n'  : pot_label
// pot_label := tr018    ? pot_label + t18 + '\n'  : pot_label
// pot_label := tr019    ? pot_label + t19 + '\n'  : pot_label
// pot_label := tr020    ? pot_label + t20 + '\n'  : pot_label
// scr_label = 'Confirmed Reversal: \n'
// scr_label := tr01[1] ? scr_label + t1 + '\n'  : scr_label
// scr_label := tr02[1] ? scr_label + t2 + '\n'  : scr_label
// scr_label := tr03[1] ? scr_label + t3 + '\n'  : scr_label
// scr_label := tr04[1] ? scr_label + t4 + '\n'  : scr_label
// scr_label := tr05[1] ? scr_label + t5 + '\n'  : scr_label
// scr_label := tr06[1] ? scr_label + t6 + '\n'  : scr_label
// scr_label := tr07[1] ? scr_label + t7 + '\n'  : scr_label
// scr_label := tr08[1] ? scr_label + t8 + '\n'  : scr_label
// scr_label := tr09[1] ? scr_label + t9 + '\n'  : scr_label
// scr_label := tr010[1] ? scr_label + t10 + '\n'  : scr_label
// scr_label := tr011[1] ? scr_label + t11 + '\n'  : scr_label
// scr_label := tr012[1] ? scr_label + t12 + '\n'  : scr_label
// scr_label := tr013[1] ? scr_label + t13 + '\n'  : scr_label
// scr_label := tr014[1] ? scr_label + t14 + '\n'  : scr_label
// scr_label := tr015[1] ? scr_label + t15 + '\n'  : scr_label
// scr_label := tr016[1] ? scr_label + t16 + '\n'  : scr_label
// scr_label := tr017[1] ? scr_label + t17 + '\n'  : scr_label
// scr_label := tr018[1] ? scr_label + t18 + '\n'  : scr_label
// scr_label := tr019[1] ? scr_label + t19 + '\n'  : scr_label
// scr_label := tr020[1] ? scr_label + t20 + '\n'  : scr_label
// up_label = 'Uptrend: \n'
// up_label := up01[1] ? up_label + t1 + '\n'  : up_label
// up_label := up02[1] ? up_label + t2 + '\n'  : up_label
// up_label := up03[1] ? up_label + t3 + '\n'  : up_label
// up_label := up04[1] ? up_label + t4 + '\n'  : up_label
// up_label := up05[1] ? up_label + t5 + '\n'  : up_label
// up_label := up06[1] ? up_label + t6 + '\n'  : up_label
// up_label := up07[1] ? up_label + t7 + '\n'  : up_label
// up_label := up08[1] ? up_label + t8 + '\n'  : up_label
// up_label := up09[1] ? up_label + t9 + '\n'  : up_label
// up_label := up010[1] ? up_label + t10 + '\n'  : up_label
// up_label := up011[1] ? up_label + t11 + '\n'  : up_label
// up_label := up012[1] ? up_label + t12 + '\n'  : up_label
// up_label := up013[1] ? up_label + t13 + '\n'  : up_label
// up_label := up014[1] ? up_label + t14 + '\n'  : up_label
// up_label := up015[1] ? up_label + t15 + '\n'  : up_label
// up_label := up016[1] ? up_label + t16 + '\n'  : up_label
// up_label := up017[1] ? up_label + t17 + '\n'  : up_label
// up_label := up018[1] ? up_label + t18 + '\n'  : up_label
// up_label := up019[1] ? up_label + t19 + '\n'  : up_label
// up_label := up020[1] ? up_label + t20 + '\n'  : up_label
// dn_label = 'Downtrend: \n'
// dn_label := dn01[1] ? dn_label + t1 + '\n'  : dn_label
// dn_label := dn02[1] ? dn_label + t2 + '\n'  : dn_label
// dn_label := dn03[1] ? dn_label + t3 + '\n'  : dn_label
// dn_label := dn04[1] ? dn_label + t4 + '\n'  : dn_label
// dn_label := dn05[1] ? dn_label + t5 + '\n'  : dn_label
// dn_label := dn06[1] ? dn_label + t6 + '\n'  : dn_label
// dn_label := dn07[1] ? dn_label + t7 + '\n'  : dn_label
// dn_label := dn08[1] ? dn_label + t8 + '\n'  : dn_label
// dn_label := dn09[1] ? dn_label + t9 + '\n'  : dn_label
// dn_label := dn010[1] ? dn_label + t10 + '\n'  : dn_label
// dn_label := dn011[1] ? dn_label + t11 + '\n'  : dn_label
// dn_label := dn012[1] ? dn_label + t12 + '\n'  : dn_label
// dn_label := dn013[1] ? dn_label + t13 + '\n'  : dn_label
// dn_label := dn014[1] ? dn_label + t14 + '\n'  : dn_label
// dn_label := dn015[1] ? dn_label + t15 + '\n'  : dn_label
// dn_label := dn016[1] ? dn_label + t16 + '\n'  : dn_label
// dn_label := dn017[1] ? dn_label + t17 + '\n'  : dn_label
// dn_label := dn018[1] ? dn_label + t18 + '\n'  : dn_label
// dn_label := dn019[1] ? dn_label + t19 + '\n'  : dn_label
// dn_label := dn020[1] ? dn_label + t20 + '\n'  : dn_label
// f_colorscr (_valscr ) => 
//      _valscr  ? #00000000 : na
     
// f_printscr (_txtscr ) => 
//      var _lblscr  = label(na), 
//      label.delete(_lblscr ), 
//      _lblscr  := label.new(
//      time + (time-time[1])*posX_scr , 
//      ohlc4[posY_scr], 
//      _txtscr ,
//      xloc.bar_time, 
//      yloc.price, 
//      f_colorscr (  showscr ),
//      textcolor =  showscr ? col : na, 
//      size = size.normal, 
//      style=label.style_label_center
//      )
// f_printscr ( scr_label + '\n' + pot_label +'\n' + up_label + '\n' + dn_label)