Estrategias comerciales cuantitativas de múltiples factores


Fecha de creación: 2023-10-24 11:15:54 Última modificación: 2023-10-24 11:15:54
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Estrategias comerciales cuantitativas de múltiples factores

Se trata de una estrategia de trading cuantitativa que combina varios indicadores técnicos para tomar decisiones sobre el espacio libre. La estrategia considera de manera integral varios factores como el indicador de dinámica, el indicador de tendencia y el gráfico de la nube de Ichimoku para formar la decisión final de compra y venta. La estrategia tiene una gran estabilidad y resistencia al riesgo.

Análisis de principios

La estrategia se compone principalmente de las siguientes partes:

  1. Indicadores de la dinámica: Parabolic SAR, el indicador de intensidad Leledc, el promedio móvil adaptado de Kaufman, etc.

  2. Indicadores de tendencias: El agitador de Rahul Mohindar, el mágico de tendencias y más

  3. Mapa de la nube de Ichimoku: incluye la línea Tenkan, la línea Kijun, etc.

  4. Indicador de flujo de volumen

  5. Indicador de fluctuaciones: Oscilador de tendencia de onda

  6. Secuencias TD

Estos indicadores juzgan la tendencia y la fuerza del mercado actual desde diferentes ángulos. El SAR parabólico determina el punto de reversión de la tendencia, el indicador de fuerza Ledc determina el momento, el gráfico de la nube Ichimoku determina la presión de soporte.

La estrategia también establece condiciones de filtración para que las transacciones se realicen solo en el rango de fechas especificadas por mes y día, lo que reduce el número de transacciones no válidas.

Análisis de las ventajas

  • Juzgamiento integrado de múltiples factores, mayor precisión y mayor resistencia al riesgo

  • Utiliza diferentes tipos de indicadores para realizar una verificación cruzada y evitar el riesgo de fallo de un solo indicador

  • Establezca condiciones de filtro para evitar transacciones no válidas en períodos inadecuados

  • Escrito con Pine Script, es fácil y rápido de usar directamente en la plataforma TradingView

  • Los parámetros del indicador son ajustables y se pueden optimizar para diferentes mercados

  • Indicador de señales de visualización para intuir la estructura del mercado

Análisis de riesgos

  • La combinación de múltiples factores requiere ajustar los pesos y parámetros, con cierta dificultad de optimización.

  • El indicador único puede no funcionar en ciertas condiciones de mercado

  • Si las condiciones de filtración no son adecuadas, se puede perder una oportunidad.

  • Hay que tener cuidado de no optimizar demasiado.

  • Los comerciantes deben estar atentos a los riesgos de fallas en los indicadores y ajustar sus estrategias a tiempo

Respuesta:

  • Optimizar los parámetros de ajuste del indicador para que sean más efectivos para el mercado actual

  • Ajuste de peso para aumentar el papel de los indicadores efectivos y reducir el papel de los indicadores no efectivos

  • Ajuste de las condiciones de filtración a la vez que aprovecha las oportunidades y evita los riesgos

Optimización de las ideas

  • Agrega algoritmos de aprendizaje automático para ajustar el peso de los indicadores

  • Aumentar los indicadores de emoción, de flujo de capital y otros factores

  • Prueba de variedad de transacción, período de tiempo y configuración de parámetros óptimos

  • Prueba de la eficacia de diferentes tiempos de tenencia de posiciones

  • Combinación de más filtros, como datos estacionales y económicos

  • Añadir una estrategia de stop loss

Resumir

Esta estrategia integra varios indicadores para formar un juicio final, con una fuerte capacidad de resistencia al riesgo. Al mismo tiempo, también se debe prestar atención al riesgo de fallo de un solo indicador, optimización continua y ajuste de los parámetros. En el futuro, se puede optimizar aún más la configuración de las ponderaciones de los indicadores, agregar más factores, probar el período de tenencia de posición óptima, etc.

Código Fuente de la Estrategia
//@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)