Stratégies de trading quantitatives à facteurs multiples


Date de création: 2023-10-24 11:15:54 Dernière modification: 2023-10-24 11:15:54
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Stratégies de trading quantitatives à facteurs multiples

Il s’agit d’une stratégie de trading quantitatif qui combine plusieurs indicateurs techniques pour faire des jugements de marge. La stratégie prend en compte plusieurs facteurs, tels que les indicateurs de dynamique, les indicateurs de tendance et le diagramme de nuage d’Ichimoku, pour former un jugement d’achat et de vente final. La stratégie a une forte stabilité et une résistance au risque.

L’analyse des principes

La stratégie est principalement composée des éléments suivants:

  1. Indicateur de dynamique: Parabolic SAR, indice de force Leledc, moyenne mobile adaptative de Kaufman, etc.

  2. Les indicateurs de tendance sont les suivants: Vibrateur Rahul Mohindar, Trend Magic, etc.

  3. Les nuages d’Ichimoku: incluant les lignes Tenkan, Kijun et autres

  4. Indicateur de flux de volume

  5. L’indicateur de fluctuation est le Wave Trend Oscillator

  6. Séquence TD

Ces indicateurs déterminent la tendance et la force du marché actuel sous différents angles. Le SAR parabolique détermine le point de retournement de la tendance, l’indicateur de force Ledc détermine le momentum et le diagramme de nuage Ichimoku détermine la pression de soutien.

La stratégie impose également des conditions de filtrage pour les transactions effectuées uniquement dans la fourchette des dates de chaque mois et de chaque jour, réduisant ainsi le nombre de transactions invalides.

Analyse des avantages

  • Jurisprudence intégrée multifactorielle, plus de précision, plus de résistance aux risques

  • Utilisez différents types d’indicateurs pour effectuer une vérification croisée afin d’éviter le risque d’une seule défaillance

  • Configurer des conditions de filtrage afin d’éviter des transactions invalides pendant une période inappropriée

  • Il est écrit en Pine Script et peut être utilisé directement sur la plateforme TradingView, ce qui est pratique et rapide.

  • Les paramètres de l’indicateur peuvent être ajustés et optimisés pour différents marchés

  • Affichage visuel des signaux d’indicateurs et jugement intuitif de la structure du marché

Analyse des risques

  • Les combinaisons multifactorielles nécessitent un ajustement des poids et des paramètres, avec une certaine difficulté à optimiser

  • L’indicateur unique peut être inefficace dans certaines conditions de marché

  • Les conditions de filtrage mal définies peuvent vous faire manquer une occasion

  • Attention à ne pas optimiser trop

  • Les traders doivent être attentifs au risque de défaillance des indicateurs et adapter leur stratégie en temps opportun.

La réponse:

  • Optimiser les paramètres d’ajustement de l’indicateur pour le rendre plus efficace pour le marché actuel

  • Ajuster le poids pour augmenter le rôle des indicateurs efficaces et réduire celui des indicateurs inefficaces

  • Adapter les conditions de filtration en temps opportun pour saisir les opportunités et éviter les risques

Optimiser les idées

  • Ajout d’algorithmes d’apprentissage automatique pour ajuster automatiquement le poids des indicateurs

  • Des facteurs supplémentaires comme l’augmentation des indicateurs d’humeur et des flux de capitaux

  • Tester les variétés et les périodes de négociation pour définir les paramètres optimaux

  • Tester l’efficacité de différentes périodes de détention

  • Les statistiques de l’industrie de l’électricité, de l’électricité et de l’électricité, ainsi que les données de l’industrie de l’électricité et de l’électricité.

  • Ajout d’une stratégie de stop loss

Résumer

Cette stratégie a l’avantage d’intégrer plusieurs indicateurs pour formuler un jugement final et d’être résistant au risque. Il est également nécessaire de prêter attention au risque de défaillance d’un indicateur unique, d’optimiser et d’ajuster en permanence les paramètres.

Code source de la stratégie
//@version=2
persistent_bull = nz(persistent_bull[1],0) 
persistent_bear  = nz(persistent_bear[1],0) 

strategy("Strategy for The Bitcoin Buy/Sell Indicator", overlay=true, calc_on_every_tick=true)

// ****************************************Inputs***************************************************************
//@fixme if there is a buy and sell signal on the same bar, then it displays the first one and skips the second one. Fix this issue
buySellSignal = true // Make this false if you do not want to show Buy/Sell signal
inputIndividualSiganlPlot = true // = input (false, "Do you want to display each individual indicator's signal on the chart?")
sp = input (false, "Do you want to display Parabolic SAR?")
spLines = input (false, "Do you want to display Parabolic SAR on the chart?")
sCloud = input(false, "Do you want to display the Tenkan and Kijun lines of Ichimoku lines on the chart?")
sL = input (false, "Do you want to display Leledec Exhausion - Leledc on the chart?")
sTD = false
sRMO = input(false, "Do you want to display Rahul Mohindar Oscillator - RMO on the chart?")
inputAma = input(false, title="Do you want to display Kaufman AMA wave - AMA on the chart?")
tm = input (false, "Do you want to display Trend Magic signals on the chart?")
wtoLB = input (false, "Do you want to display WaveTrend Oscillator - WTO on the chart?")
vfiLB = input (false, "Do you want to display Volume Flow Indicator - VFI on the chart?")
cogRegionFillTransp = 100 // input(false, "Do you want to display COG Region Fill and ATR Starc+/-")
inputNeutralMinorSignals = input (false, title="Do you want to not display the minor or the not so strong signals from Ichimoku")
maj=true // input(true,title="Show Major Leledc Exhausion Bar signal")
min=input(false,title="Show Minor Leledc Exhausion Bar signal")

tenkanPeriods = input(20, minval=9, title="Tenkan Period - Ichimoku [9 or 10 or 20]")
kijunPeriods = input(60, minval=26, title="Kijun Period - Ichimoku [26 or 30 or 60]")
chikouPeriods = input(120, minval=52, title="Chikou - Ichimoku [52 or 60 or 120]")
displacement = input(30, minval=26, title="Displacement - Ichimoku [26 or 30]")

// ****************************************General Color Variables***************************************************************
colorLime = #006400 // Warning sign for long trade
colorBuy= #2DFF03 // Good sign for long trade
colorSell = #733629 // Good sign for short trade
colorMaroon =#8b0000 // Warning sign for short trade
colorBlue =#0000ff // No clear sign
colorGray = #a9a9a9 // Gray Color (For Squeeze momentum indicator)
colorBlack = #000000 // Black
colorWhite = #ffffff // White
colorTenkanViolet = #800000 // Tenkan-sen line color
colorKijun = #0000A6 // Kijun-sen line color

// TD Sequential bar colors
tdSell = #ff6666
tdSellOvershoot = #ff1a1a
tdSellOvershoot1 = #cc0000
tdSellOverShoot2 = #990000
tdSellOverShoot3 = #732626

tdBuy = #80ff80
tdBuyOverShoot = #33ff33
tdBuyOvershoot1 = #00cc00
tdBuyOverShoot2 = #008000 
tdBuyOvershoot3 = #004d00
    
// ****************************************Icons***************************************************************
upSign = '↑' // indicates the indicator shows uptrend
downSign = '↓' // incicates the indicator showing downtrend
exitSign ='x' //indicates the indicator uptrend/downtrend ending
// diamond signals weakBullishSignal or weakBearishsignal
// flag signals neutralBullishSignal or neutralBearishSignal

// ****************************************Parabolic SAR code***************************************************************
start = 2 
increment = 2
maximum = 2 
sus = true
sds = true
disc = false 

startCalc = start * .01
incrementCalc = increment * .01
maximumCalc = maximum * .10

sarUp = sar(startCalc, incrementCalc, maximumCalc)
sarDown = sar(startCalc, incrementCalc, maximumCalc)

colUp = spLines and close >= sarDown ? colorLime : na
colDown = spLines and close <= sarUp ? colorSell : na

//@fixme Does not display the correct values for up and down pSAR
plot(sp and sus and sarUp ? sarUp : na, title="↓ SAR", style=cross, linewidth=3,color=colUp)
plot(sp and sds and sarDown ? sarDown : na, title="↑ SAR", style=circles, linewidth=3,color=colDown)

startSAR = 0.02 
incrementSAR = 0.02 
maximumSAR = 0.2 

psar = sar(startSAR, incrementSAR, maximumSAR)
bullishPSAR = psar < high and psar[1] > low
bearishPSAR= psar > low and psar[1] < high 

//***********************Leledc Exhausion Bar***********************************************
maj_qual=6
maj_len=30
min_qual=5
min_len=5

lele(qual,len)=>
    bindex=nz(bindex[1],0)
    sindex=nz(sindex[1],0)
    ret=0
    if (close>close[4]) 
        bindex:=bindex + 1
    if(close<close[4]) 
        sindex:=sindex + 1
    if (bindex>qual) and (close<open) and high>=highest(high,len) 
        bindex:=0
        ret:=-1
    if ((sindex>qual) and (close>open) and (low<= lowest(low,len)))
        sindex:=0
        ret:=1
    return=ret

major=lele(maj_qual,maj_len)
minor=lele(min_qual,min_len)

leledecMajorBullish = maj ? (major==1?low:na) : na
leledecMajorBearish = maj ? (major==-1?high:na) : na

//****************Ichimoku ************************************
donchian(len) => avg(lowest(len), highest(len))

tenkan = donchian(tenkanPeriods)
kijun = donchian(kijunPeriods)
senkouA = avg(tenkan, kijun)
senkouB = donchian(chikouPeriods)
displacedSenkouA = senkouA[displacement]
displacedSenkouB = senkouB[displacement] 

bullishSignal = crossover(tenkan, kijun)
bearishSignal = crossunder(tenkan, kijun)

bullishSignalValues = iff(bullishSignal, tenkan, na)
bearishSignalValues = iff(bearishSignal, tenkan, na)

strongBullishSignal = crossover(tenkan, kijun) and bullishSignalValues > displacedSenkouA and bullishSignalValues > displacedSenkouB and low > tenkan and displacedSenkouA > displacedSenkouB
strongBearishSignal = bearishSignalValues < displacedSenkouA and bearishSignalValues < displacedSenkouB and high < tenkan and displacedSenkouA <  displacedSenkouB

neutralBullishSignal = (bullishSignalValues > displacedSenkouA and bullishSignalValues < displacedSenkouB) or (bullishSignalValues < displacedSenkouA and bullishSignalValues > displacedSenkouB)
weakBullishSignal = bullishSignalValues < displacedSenkouA and bullishSignalValues < displacedSenkouB
neutralBearishSignal = (bearishSignalValues > displacedSenkouA and bearishSignalValues < displacedSenkouB) or (bearishSignalValues < displacedSenkouA and bearishSignalValues > displacedSenkouB)
weakBearishSignal = bearishSignalValues > displacedSenkouA and bearishSignalValues > displacedSenkouB
 
//*********************Kaufman AMA wave*********************//
src=close
lengthAMA=20
filterp = 10

d=abs(src-src[1])
s=abs(src-src[lengthAMA])
noise=sum(d, lengthAMA)
efratio=s/noise
fastsc=0.6022
slowsc=0.0645 

smooth=pow(efratio*fastsc+slowsc, 2)
ama=nz(ama[1], close)+smooth*(src-nz(ama[1], close))
filter=filterp/100 * stdev(ama-nz(ama), lengthAMA)
amalow=ama < nz(ama[1]) ? ama : nz(amalow[1])
amahigh=ama > nz(ama[1]) ? ama : nz(amahigh[1])
bw=(ama-amalow) > filter ? 1 : (amahigh-ama > filter ? -1 : 0)
s_color=bw > 0 ? colorBuy : (bw < 0) ? colorSell : colorBlue

amaLongConditionEntry = s_color==colorBuy and s_color[1]!=colorBuy
amaShortConditionEntry = s_color==colorSell and s_color[1]!=colorSell

//***********************Rahul Mohindar Oscillator ******************************//
C=close
cm2(x) => sma(x,2)
ma1=cm2(C)
ma2=cm2(ma1)
ma3=cm2(ma2)
ma4=cm2(ma3)
ma5=cm2(ma4)
ma6=cm2(ma5)
ma7=cm2(ma6)
ma8=cm2(ma7)
ma9=cm2(ma8)
ma10=cm2(ma9)
SwingTrd1 = 100 * (close - (ma1+ma2+ma3+ma4+ma5+ma6+ma7+ma8+ma9+ma10)/10)/(highest(C,10)-lowest(C,10))
SwingTrd2=ema(SwingTrd1,30)
SwingTrd3=ema(SwingTrd2,30)
RMO= ema(SwingTrd1,81)
Buy=cross(SwingTrd2,SwingTrd3)
Sell=cross(SwingTrd3,SwingTrd2)
Bull_Trend=ema(SwingTrd1,81)>0
Bear_Trend=ema(SwingTrd1,81)<0
Ribbon_kol=Bull_Trend ? colorBuy : (Bear_Trend ? colorSell : colorBlue)
Impulse_UP= SwingTrd2 > 0
Impulse_Down= RMO < 0
bar_kol=Impulse_UP ? colorBuy : (Impulse_Down ? colorSell : (Bull_Trend ?  colorBuy : colorBlue))

rahulMohindarOscilllatorLongEntry = Ribbon_kol==colorBuy and Ribbon_kol[1]!=colorBuy and Ribbon_kol[1]==colorSell and bar_kol==colorBuy
rahulMohindarOscilllatorShortEntry = Ribbon_kol==colorSell and Ribbon_kol[1]!=colorSell and Ribbon_kol[1]==colorBuy and bar_kol==colorSell

//***********************TD Sequential code ******************************//
transp=0
Numbers=false 
SR=false
Barcolor=true

TD = close > close[4] ?nz(TD[1])+1:0
TS = close < close[4] ?nz(TS[1])+1:0

TDUp = TD - valuewhen(TD < TD[1], TD , 1 )
TDDn = TS - valuewhen(TS < TS[1], TS , 1 )

priceflip = barssince(close<close[4])
sellsetup = close>close[4] and priceflip
sell = sellsetup and barssince(priceflip!=9)
sellovershoot = sellsetup and barssince(priceflip!=13)
sellovershoot1 = sellsetup and barssince(priceflip!=14)
sellovershoot2 = sellsetup and barssince(priceflip!=15)
sellovershoot3 = sellsetup and barssince(priceflip!=16)

priceflip1 = barssince(close>close[4])
buysetup = close<close[4] and priceflip1
buy = buysetup and barssince(priceflip1!=9)
buyovershoot = barssince(priceflip1!=13) and buysetup
buyovershoot1 = barssince(priceflip1!=14) and buysetup
buyovershoot2 = barssince(priceflip1!=15) and buysetup
buyovershoot3 = barssince(priceflip1!=16) and buysetup

TDbuyh = valuewhen(buy,high,0)
TDbuyl = valuewhen(buy,low,0)
TDsellh = valuewhen(sell,high,0)
TDselll = valuewhen(sell,low,0)
//***********************Volume Flow Indicator [LazyBear] ******************************//
lengthVFI = 130 
coefVFI = 0.2 
vcoefVFI = 2.5 
signalLength= 5 
smoothVFI=true 

ma(x,y) => smoothVFI ? sma(x,y) : x

typical=hlc3
inter = log( typical ) - log( typical[1] )
vinter = stdev(inter, 30 )
cutoff = coefVFI * vinter * close
vave = sma( volume, lengthVFI )[1]
vmax = vave * vcoefVFI
vc = iff(volume < vmax, volume, vmax)
mf = typical - typical[1]
vcp = iff( mf > cutoff, vc, iff ( mf < -cutoff, -vc, 0 ) )

vfi = ma(sum( vcp , lengthVFI )/vave, 3)
vfima=ema( vfi, signalLength )
dVFI=vfi-vfima

bullishVFI = vfi > 0 and vfi[1] <=0
bearishVFI =  vfi < 0 and vfi[1] >=0

//***********************WaveTrend Oscillator [WT] ******************************//
n1 = 10
n2 = 21
obLevel1 = 60
obLevel2 = 53
osLevel1 = -60
osLevel2 = -53
 
ap = hlc3 
esa = ema(ap, n1)
dWTI = ema(abs(ap - esa), n1)
ci = (ap - esa) / (0.015 * dWTI)
tci = ema(ci, n2)
 
wt1 = tci
wt2 = sma(wt1,4)

wtiSignal = wt1-wt2

bullishWTI = wt1 > osLevel1 and wt1[1] <= osLevel1 and wtiSignal > 0
bearishWTI = wt1 < obLevel1 and wt1[1] >= obLevel1 and wtiSignal < 0

// **************** Trend Magic code adapted from  Glaz ********************* /
CCI = 20 // input(20)
ATR = 5 // input(5)
Multiplier=1 // input(1,title='ATR Multiplier')
original=true // input(true,title='original coloring')
thisCCI = cci(close, CCI)
lastCCI = nz(thisCCI[1])
bufferDn= high + Multiplier * sma(tr,ATR)
bufferUp= low - Multiplier * sma(tr,ATR)
if (thisCCI >= 0 and lastCCI < 0) 
    bufferUp := bufferDn[1]
if (thisCCI <= 0 and lastCCI > 0) 
    bufferDn := bufferUp[1]

if (thisCCI >= 0)
    if (bufferUp < bufferUp[1])
        bufferUp := bufferUp[1]
else
    if (thisCCI <= 0)
        if (bufferDn > bufferDn[1])
            bufferDn := bufferDn[1]

x=thisCCI >= 0 ?bufferUp:thisCCI <= 0 ?bufferDn:x[1]
swap=x>x[1]?1:x<x[1]?-1:swap[1]
swap2=swap==1?lime:red
swap3=thisCCI >=0 ?lime:red
swap4=original?swap3:swap2

bullTrendMagic = swap4 == lime and swap4[1] == red
bearTrendMagic = swap4 == red and swap4[1] == lime

// ************ Indicator: Custom COG channel by Lazy Bear **************** //
srcCOG = close
lengthCOG = 34
median=0
multCOG= 2.5 // input(2.5)
offset = 20 //input(20)

tr_custom() => 
    x1=high-low
    x2=abs(high-close[1])
    x3=abs(low-close[1])
    max(x1, max(x2,x3))
    
atr_custom(x,y) => 
    sma(x,y)
    
dev = (multCOG * stdev(srcCOG, lengthCOG))
basis=linreg(srcCOG, lengthCOG, median)
ul = (basis + dev)
ll = (basis - dev)
tr_v = tr_custom()
acustom=(2*atr_custom(tr_v, lengthCOG))
uls=basis+acustom
lls=basis-acustom

// Plot STDEV channel
plot(basis, linewidth=1, color=navy, style=line, linewidth=1, title="Median : STDEV COG")
lb=plot(ul, color=red, linewidth=1, title="BB+ : COG", style=hline.style_dashed)
tb=plot(ll, color=green, linewidth=1, title="BB- : COG ", style=hline.style_dashed)
fill(tb,lb, silver, title="Region fill: STDEV COG",  transp=cogRegionFillTransp)

// Plot ATR channel
plot(basis, linewidth=2, color=navy, style=line, linewidth=2, title="Median : ATR COG ")
ls=plot(uls, color=red, linewidth=1, title="Starc+ : ATR COG", style=circles, transp=cogRegionFillTransp)
ts=plot(lls, color=green, linewidth=1, title="Star- : ATR COG", style=circles, transp=cogRegionFillTransp)
fill(ts,tb, green, title="Region fill : ATR COG", transp=cogRegionFillTransp)
fill(ls,lb, red, title="Region fill : ATR COG", transp=cogRegionFillTransp)

// Mark SQZ
plot_offs_high=0.002 
plot_offs_low=0.002 
sqz_f=(uls>ul) and (lls<ll) 
b_color=sqz_f ? colorBlack : na 
plot(sqz_f ? lls - (lls * plot_offs_low) : na, color=b_color, style=cross, linewidth=3, title="SQZ : COG", trasp=0) 
plot(sqz_f ? uls + (uls * plot_offs_high) : na, color=b_color, style=cross, linewidth=3, title="SQZ : COG", trasp=0)

// ****************************************All the plots and coloring of bars***************************************************************
// Trend Magic
plotchar(tm and bullTrendMagic, title="TM", char=upSign, location=location.belowbar, color=colorBuy, transp=0, text="TM", textcolor=colorBuy, size=size.auto)
plotchar(tm and bearTrendMagic, title="TM", char=downSign, location=location.abovebar, color=colorSell, transp=0, text="TM", textcolor=colorSell, size=size.auto)

// WaveTrend Oscillator
plotshape(wtoLB and bullishWTI, color=colorBuy, style=shape.labelup, textcolor=#000000, text="WTI", location=location.belowbar, transp=0)
plotshape(wtoLB and bearishWTI, color=colorSell, style=shape.labeldown, textcolor=#ffffff,  text="WTI", location=location.abovebar, transp=0)

// VFI
plotshape(vfiLB and bullishVFI, color=colorBuy, style=shape.labelup, textcolor=#000000, text="VFI", location=location.belowbar, transp=0)
plotshape(vfiLB and bearishVFI, color=colorSell, style=shape.labeldown, textcolor=#ffffff,  text="VFI", location=location.abovebar, transp=0)

// PSAR
plotshape(inputIndividualSiganlPlot and sp and bullishPSAR, color=colorBuy, style=shape.labelup, textcolor=#000000, text="Sar", location=location.belowbar, transp=0)
plotshape(inputIndividualSiganlPlot and sp and bearishPSAR, color=colorSell, style=shape.labeldown, textcolor=#ffffff,  text="Sar", location=location.abovebar, transp=0)

// Leledec
plotshape(inputIndividualSiganlPlot and sL and leledecMajorBearish, color=colorSell, style=shape.labeldown, textcolor=#ffffff,  text="Leledec", location=location.abovebar, transp=0)
plotshape(inputIndividualSiganlPlot and sL and leledecMajorBullish, color=colorBuy, style=shape.labelup, textcolor=#000000, text="Leledec", location=location.belowbar, transp=0)

plotshape(min ? (minor==1?low:na) : na, style=shape.diamond, text="Leledec", size=size.tiny, location=location.belowbar, title="Weak Bullish Signals - Leledec", color=colorLime)
plotshape(min ? (minor==-1?high:na) : na, style=shape.diamond, text="Leledec", size=size.tiny, location=location.abovebar, title="Weak Bearish Signals - Leleded", color=colorSell)

// Ichimoku
plot(tenkan, color=iff(sCloud, colorTenkanViolet, na), title="Tenkan", linewidth=2, transp=0)
plot(kijun, color=iff(sCloud, colorKijun, na), title="Kijun", linewidth=2, transp=0)

plot(close, offset = -displacement, color=iff(sCloud, colorLime, na), title="Chikou", linewidth=1)
p1 = plot(senkouA, offset=displacement, color=colorBuy, title="Senkou A", linewidth=3, transp=0)
p2 = plot(senkouB, offset=displacement, color=colorSell, title="Senkou B", linewidth=3, transp=0)
fill(p1, p2, color = senkouA > senkouB ? #1eb600 : colorSell)  

plotshape(inputIndividualSiganlPlot and strongBearishSignal, color=colorSell, style=shape.labelup, textcolor=#000000,  text="Ichimoku", location=location.abovebar, transp=0)
plotshape(inputIndividualSiganlPlot and strongBullishSignal, color=colorBuy, style=shape.labeldown, textcolor=#ffffff,  text="Ichimoku", location=location.belowbar, transp=0)

plotshape(inputNeutralMinorSignals and neutralBullishSignal, style=shape.flag, text="Ichimoku", size=size.small, location=location.belowbar, title="Neutral Bullish Signals - Ichimoku", color=colorLime)
plotshape(inputNeutralMinorSignals and weakBullishSignal, style=shape.diamond, text="Ichimoku", size=size.tiny, location=location.belowbar, title="Weak Bullish Signals - Ichimoku", color=colorLime)

plotshape(inputNeutralMinorSignals and neutralBearishSignal, style=shape.flag, text="Ichimoku", size=size.small, location=location.abovebar, title="Neutral Bearish Signals - Ichimoku", color=colorMaroon)
plotshape(inputNeutralMinorSignals and weakBearishSignal, style=shape.diamond, text="Ichimoku", size=size.tiny, location=location.abovebar, title="Weak Bearish Signals - Ichimoku", color=colorMaroon)

// AMA
plotshape(inputIndividualSiganlPlot and inputAma and amaLongConditionEntry, color=colorBuy, style=shape.labelup, textcolor=#000000, text="AMA", location=location.belowbar, transp=0)
plotshape(inputIndividualSiganlPlot and inputAma and amaShortConditionEntry, color=colorSell, style=shape.labeldown, textcolor=#ffffff,  text="AMA", location=location.abovebar, transp=0)

// RMO
plotshape(inputIndividualSiganlPlot and sRMO and rahulMohindarOscilllatorLongEntry, color=colorBuy, style=shape.labelup, textcolor=#000000, text="RMO", location=location.belowbar, transp=0)
plotshape(inputIndividualSiganlPlot and sRMO and rahulMohindarOscilllatorShortEntry, color=colorSell, style=shape.labeldown, textcolor=#ffffff,  text="RMO", location=location.abovebar, transp=0)

// TD
plot(sTD and SR?(TDbuyh ? TDbuyl: na):na,style=circles, linewidth=1, color=red)
plot(sTD and SR?(TDselll ? TDsellh : na):na,style=circles, linewidth=1, color=lime)

barColour = sell? tdSell : buy? tdBuy : sellovershoot? tdSellOvershoot : sellovershoot1? tdSellOvershoot1 : sellovershoot2?tdSellOverShoot2 : sellovershoot3? tdSellOverShoot3 : buyovershoot? tdBuyOverShoot : buyovershoot1? tdBuyOvershoot1 : buyovershoot2? tdBuyOverShoot2 : buyovershoot3? tdBuyOvershoot3 : na
barcolor(color=barColour, title ="TD Sequential Bar Colour")

// ****************************************BUY/SELL Signal ***************************************************************
bull = leledecMajorBullish or bullishPSAR or strongBullishSignal or amaLongConditionEntry or rahulMohindarOscilllatorLongEntry or bullishVFI
bear = leledecMajorBearish or bearishPSAR or strongBearishSignal or amaShortConditionEntry or rahulMohindarOscilllatorShortEntry or bearishVFI

if bull
    persistent_bull := 1 
    persistent_bear := 0
    
if bear
    persistent_bull := 0
    persistent_bear := 1

plotshape(bull and persistent_bull[1] != 1, style=shape.labelup, location=location.belowbar, color=colorBuy, text="Buy", textcolor=#000000, transp=0)
plotshape(bear and persistent_bear[1] != 1, style=shape.labeldown, color=colorSell, text="Sell", location=location.abovebar, textcolor =#ffffff, transp=0)

// ****************************************Alerts***************************************************************
// For global buy/sell
alertcondition(bull and persistent_bull[1] != 1, title='Buy', message='Buy') 
alertcondition(bear and persistent_bear[1] != 1, title='Sell', message='Sell')

// Strategy
longCondition = leledecMajorBullish or bullishPSAR or strongBullishSignal or amaLongConditionEntry or rahulMohindarOscilllatorLongEntry or bullishVFI
closeLongCondition = leledecMajorBearish or bearishPSAR or strongBearishSignal or amaShortConditionEntry or rahulMohindarOscilllatorShortEntry or bearishVFI


monthfrom =input(1)
monthuntil =input(12)
dayfrom=input(1)
dayuntil=input(31)
yearfrom=input(2017)
yearuntil=input(2020)
leverage=input(1)

if (longCondition )
    strategy.entry("Long", strategy.long, leverage, comment="Enter Long")
else
    strategy.close("Long", when=closeLongCondition)


//if (closeLongCondition and month>=monthfrom and month <=monthuntil and dayofmonth>=dayfrom and dayofmonth <= dayuntil and year <= yearuntil and year>=yearfrom)
//    strategy.entry("Short", strategy.short, leverage, comment="Enter Short")
//else
//    strategy.close("Short", when=longCondition)