Combinaison des stratégies de moyenne mobile simple et de moyenne mobile adaptative


Date de création: 2023-09-14 18:14:34 Dernière modification: 2023-09-14 18:14:34
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Combinaison des stratégies de moyenne mobile simple et de moyenne mobile adaptative

Cet article présente une stratégie de trading quantitatif combinant l’utilisation d’une moyenne mobile simple (SMA) et d’une moyenne mobile adaptative (ALMA). Cette stratégie combine plusieurs indicateurs techniques pour former des signaux de trading d’entrée et de sortie du marché en définissant différents paramètres.

Premièrement, les principes stratégiques

Le cœur de cette stratégie est constitué d’une combinaison de SMA et d’ALMA utilisant différents paramètres. Le SMA est un indicateur de suivi de tendance très courant, qui représente la direction et la force de la tendance des prix en calculant des moyennes arithmétiques de clôture sur une période de temps.

La stratégie commence par calculer trois SMA, représentant respectivement les tendances à court, moyen et long terme. En même temps, elle calcule trois ALMA, représentant la moyenne des prix sous différentes dimensions temporelles. Les SMA et les ALMA se combinent pour former un indicateur multicouche.

En outre, la stratégie introduit le Relative Strength Index (RSI) pour aider à juger si le RSI est supérieur à la ligne de survente définie. Lorsque le RSI est supérieur à la ligne de survente définie, il est considéré comme un survente du marché, ce qui peut être trompeur, même si les signaux d’achat sont formés par les SMA et les ALMA. De même, lorsque le RSI est inférieur à la ligne de survente, même si l’indicateur affiche un signal de vente, il peut manquer une occasion de rebond.

La mise en place de paramètres intégrés utilisant plusieurs indicateurs SMA, ALMA et RSI, la combinaison croisée entre les différents indicateurs paramétriques, peut former un signal de stratégie de négociation relativement sensible. En outre, le jugement de surachat et de survente de l’indicateur RSI peut optimiser davantage le moment d’entrée et réduire la probabilité de blocage.

Deux, les avantages stratégiques

Le plus grand avantage de cette stratégie réside dans l’utilisation d’une combinaison flexible de paramètres d’indicateur. Les SMA et ALMA peuvent ajuster les paramètres de manière flexible pour représenter différentes formes de la même ligne. Le RSI peut également contrôler la fréquence des signaux en ajustant les paramètres.

Par rapport à un seul SMA, ALMA améliore la sensibilité aux changements de marché et permet une reprise plus rapide des tendances. Les jugements auxiliaires du RSI évitent également davantage de suivre aveuglément les signaux de ligne de parité.

Un autre avantage est la diversité des sources de signaux de la stratégie. Les combinaisons SMA et ALMA interagissant sur différentes dimensions temporelles fournissent une référence à plusieurs niveaux pour la stratégie. Cela permet de filtrer le bruit / faux signaux au hasard sur le marché, ce qui rend le signal plus fiable.

Dans l’ensemble, les paramètres de la stratégie sont flexibles, les signaux de sortie sont stables et conviennent aux transactions quantitatives de différentes variétés.

Troisièmement, les risques potentiels

Bien que cette stratégie présente certains avantages, elle comporte des risques qui méritent d’être pris en compte dans la pratique.

Tout d’abord, le problème de l’optimisation des paramètres de l’indicateur. Les SMA, ALMA et RSI peuvent régler librement les paramètres, mais un ajustement inapproprié peut être sur-optimisé et ne peut pas s’adapter aux changements structurels à long terme du marché. Cela nécessite un réglage prudent des paramètres en fonction des caractéristiques des différentes variétés et ne peut pas rechercher un effet à court terme.

Ensuite, il peut y avoir un retard dans les signaux stratégiques. Bien que la réponse d’ALMA soit plus rapide que celle de la SMA, il existe un certain retard. Dans un marché en évolution rapide, cela peut entraîner la perte d’un moment d’entrée optimal.

Enfin, il faut également faire attention aux intersections difficiles à juger qui peuvent être causées par des combinaisons d’indicateurs multiples. Dans certains cas, des signaux contradictoires peuvent apparaître dans différents indicateurs. Cela doit être résolu selon des règles de priorité qui sont claires d’expérience.

En résumé, la stratégie n’est pas parfaite et nécessite des ajustements et des optimisations constants dans la pratique. Cependant, sa configuration de paramètres flexible et ses avantages en termes de combinaison de multiples indicateurs en font une stratégie quantitative viable à long terme.

Quatrième partie, résumé

Cet article présente en détail une stratégie de trading quantitatif combinant SMA, ALMA et RSI. Cette stratégie utilise une combinaison flexible d’indicateurs pour former un signal de trading sensible au marché. Elle a une plus grande adaptabilité et une plus grande capacité de filtrage du bruit par rapport à un seul indicateur.

Code source de la stratégie
/*backtest
start: 2023-09-06 00:00:00
end: 2023-09-13 00:00:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//The plotchar UP/DOWN Arrows  is the crossover of the fastest MA and fastest IIR MAs
//
//The dots at the bottom are the two simple averages crossing over
//
//The count over/under the candles is the count of bars that the SMAs on their
//respective resolution are fanning out.
//
//The colored background indicates a squeeze, lime=kinda tight : green=very tight squeeze.  based on the 3 IIRs
//
//To answer my own question in a forum, looking at the code, i couldn't figure out how to get it from another timeframe
//and run the same calculations with the same results.  My answer in the end was to scale the chosen MA length
//in the corresponding CurrentPeriod/ChosenMAPeriod proportion.  This results in the same line in the same place when browsing through the
//different time resolutions.  Somebody might find this invaluable
//
//The counts are for MA's fanning out, or going parabolic.  Theres IIRs, Almas, one done of the other.  A lot.  
//The arrows above and below bars are from standard RSI numbers for OB/OS
//
//The IIRs changes color depending on their slope, which can be referenced easily with a variable.
//
//The backgrond on a bar-by-bar basis is colored when 2 sets of moving averages are in a squeeze, aka
//when price is consolidating.  
//
//This aims to help the trader combine conditions and entry criteria of the trade and explore these options visually.  
//They detail things from all time-frames on the current one.  I prefer it because of the fractal nature of price-action, both large and small,
//either yesterday or last year.  For best results, go long in short-term trades when the long-term trend is also up.
//and other profitable insights.  This is also a great example of an automation algorith.  
//
//The pretty ribbon is my script called 'Trading With Colors'. Use them together for fanciest results.  55/233 is my Fib Cross (golden/death)  Compare it to the classic 50/200 if
//you get bored.  I believe it simply works better, at least for Crypto.
//
//Evidently, I am a day-trader.  But this yields higher profits on larger time-frames anyways, so do play around with it. Find what works for you.

//Thanks and credit for code snippets goes to:
//matryskowal
//ChrisMoody, probably twice
//Alex Orekhov (everget)
//author=LucF and midtownsk8rguy, for PineCoders
//If you use code from this, real quick search for perhaps the original and give them a shoutout too.  I may have missed something

//Author: Sean Duffy
//@version=4
strategy(title = "Combination Parabolic MA/IIR/ALMA Strategy",
         shorttitle = "MA-QuickE", 
         overlay = true, 
         backtest_fill_limits_assumption = 0, 
         default_qty_type = strategy.cash, 
         default_qty_value = 1000, 
         initial_capital = 1000,
         currency = currency.USD,
         linktoseries = true)
        //  calc_on_order_fills = true,
        //  calc_on_every_tick = true,
// Input Variables
showFIBMAs = input(false, type=input.bool, title="═══════════════ Show Fibby MAs ═══════════════")
maRes = input(960, type=input.integer, title="MA-Cross Resolution")
mal1 = input(8, type=input.integer, title="MA#1 Length")
mal2 = input(13, type=input.integer, title="MA#2 Length")
mal3 = input(34, type=input.integer, title="MA#3 Length")
loosePercentClose = input(1.1, type=input.float, title="SMA LooseSqueeze Percent")
showIIRs = input(false, type=input.bool, title="═══════════════════ Show IIRs ═══════════════════")
iirRes = input(60, type=input.integer, title="IIR Resolution")
percentClose = input(title="IIR Squeeze PercentClose", type=input.float, defval=.8)
iirlength1 = input(title="IIR Length 1", type=input.integer, defval=34)
iirlength2 = input(title="IIR Length 2", type=input.integer, defval=144)//input(title="ATR Period", type=input.integer, defval=1)
iirlength3 = input(title="IIR Length 3", type=input.integer, defval=720)//input(title="ATR Period", type=input.integer, defval=1)
showIIR1 = input(true, type=input.bool, title="Show IIR1")
showIIR2 = input(true, type=input.bool, title="Show IIR2")
showIIR3 = input(true, type=input.bool, title="Show IIR3")
showCounts = input(true, type=input.bool, title="═════════════ Show Parabolic MA Counts ════════════")
showSignals = input(true, type=input.bool, title="══════════════ Show Buy/Sell Signals ══════════════")
showBackground = input(true, type=input.bool, title="══════════════ Show Background Colors ══════════════")
//runStrategy = input(true, type=input.bool, title="══════════════ Run Strategy  ══════════════")
debug = input(false, type=input.bool, title="══════════════ Show Debug ══════════════")

barLookbackPeriod = input(title="══ Bar Lookback Period ══", type=input.integer, defval=5)
percentageLookbackPeriod = input(title="══ Percentage Lookback Period ══", type=input.integer, defval=1)

bullcolor = color.green
bearcolor = color.red
color bgcolor = na

var bool slope1Green = na
var bool slope2Green = na
var bool slope3Green = na

var bool buySignal = na
var bool sellSignal = na
var bool bigbuySignal = na
var bool bigsellSignal = na
bool smbuySignal = false
bool smsellSignal = false
var bool insqueeze = na
var bool intightsqueeze = na
var bool infastsqueeze = na
var bool awaitingEntryIn = false

// My counting variables
var int count1 = 0
var float madist1 = 0
var int count2 = 0
var float madist2 = 0
var int sinceSmSignal = 0

var entryPrice = 0.0
var entryBarIndex = 0
var stopLossPrice = 0.0
// var updatedEntryPrice = 0.0
// var alertOpenPosition = false
// var alertClosePosition = false
// var label stopLossPriceLabel = na
// var line stopLossPriceLine = na
positionType = "LONG" // Strategy type, and the only current option

hasOpenPosition = strategy.opentrades != 0
hasNoOpenPosition = strategy.opentrades == 0

strategyClose() =>
    if (hasOpenPosition)
        if positionType == "LONG"
            strategy.close("LONG", when=true)
        else 
            strategy.close("SHORT", when=true)
strategyOpen() =>
    if (hasNoOpenPosition)
        if positionType == "LONG"
            strategy.entry("LONG", strategy.long, when=true)
        else 
            strategy.entry("SHORT", strategy.short, when=true)
checkEntry() =>
    buysignal = false
    if (hasNoOpenPosition)
        strategyOpen()
        buysignal := true
    // if (slope1Green and (trend1Green or trend2Green) and awaitingEntryIn and hasNoOpenPosition)
    //     strategyOpen()
    //     buysignal := true
    buysignal
checkExit() =>
    sellsignal = false
    // if (trend1Green == false and trend2Green == false) // to later have quicker exit strategy
    //     sellsignal := true
    //     strategyClose()
    if (hasOpenPosition)
        sellsignal := true
        strategyClose()
    sellsignal

multiplier(_adjRes, _adjLength) => // returns adjusted length
    multiplier = _adjRes/timeframe.multiplier
    round(_adjLength*multiplier)
    
    
//reset the var variables before new calculations
buySignal := false
sellSignal := false
smbuySignal := false
smsellSignal := false
bigbuySignal := false
bigsellSignal := false

ma1 = sma(close, multiplier(maRes, mal1))
ma2 = sma(close, multiplier(maRes, mal2))
ma3 = sma(close, multiplier(maRes, mal3))


madist1 := abs(ma1 - ma2)
madist2 := abs(ma1 - ma3) // check if MA's are fanning/going parabolic
if (ma1 >= ma2 and ma2 >= ma3 and madist1[0] > madist1[1]) //and abs(dataB - dataC >= madist2)  // dataA must be higher than b, and distance between gaining, same with C
    count1 := count1 + 1
else 
    count1 := 0
if (ma1 <= ma2 and ma2 <= ma3 and madist1[0] > madist1[1])  //<= madist2 and dataB <= dataC) //and abs(dataB - dataC >= madist2)  // dataA must be higher than b, and distance between gaining, same with C
    count2 := count2 + 1
else 
    count2 := 0


crossoverAB = crossover(ma1, ma2) 
crossunderAB = crossunder(ma1, ma2)

plot(showFIBMAs ? ma1 : na, linewidth=3)
plot(showFIBMAs ? ma2 : na)
plot(showFIBMAs ? ma3 : na)


// Fast Squeese Check WORK IN PROGRESS
// 
float singlePercent = close / 100 
if max(madist1, madist2) <= singlePercent*loosePercentClose
    bgcolor := color.yellow
    infastsqueeze := true
else
    infastsqueeze := false



// IIR MOVING AVERAGE
f(a) => a[0] // fixes mutable error
iirma(iirlength, iirsrc) =>
    cf = 2*tan(2*3.14159*(1/iirlength)/2)
    a0 = 8 + 8*cf + 4*pow(cf,2) + pow(cf,3)
    a1 = -24 - 8*cf + 4*pow(cf,2) + 3*pow(cf,3)
    a2 = 24 - 8*cf - 4*pow(cf,2) + 3*pow(cf,3)
    a3 = -8 + 8*cf - 4*pow(cf,2) + pow(cf,3)
    //----
    c = pow(cf,3)/a0
    d0 = -a1/a0
    d1 = -a2/a0
    d2 = -a3/a0
    //----
    out = 0.
    out := nz(c*(iirsrc + iirsrc[3]) + 3*c*(iirsrc[1] + iirsrc[2]) + d0*out[1] + d1*out[2] + d2*out[3],iirsrc)
    f(out)


iirma1 = iirma(multiplier(iirRes, iirlength1), close)
iirma2 = iirma(multiplier(iirRes, iirlength2), close)
iirma3 = iirma(multiplier(iirRes, iirlength3), close)

// adjusts length for current resolution now, length is lengthened/shortened accordingly, upholding exact placement of lines
// iirmaD1 = security(syminfo.tickerid, tostring(iirRes), iirma1, barmerge.gaps_on, barmerge.lookahead_on)
// iirmaD2 = security(syminfo.tickerid, tostring(iirRes), iirma2, barmerge.gaps_on, barmerge.lookahead_on)
// iirmaD3 = security(syminfo.tickerid, tostring(iirRes), iirma3, barmerge.gaps_on, barmerge.lookahead_on)

slope1color = slope1Green ? color.lime : color.blue
slope2color = slope2Green ? color.lime : color.blue
slope3color = slope3Green ? color.lime : color.blue

plot(showIIR1 and showIIRs ? iirma1 : na, title="IIR1", color=slope1color, linewidth=2, transp=30)
plot(showIIR2 and showIIRs ? iirma2 : na, title="IIR2", color=slope2color, linewidth=3, transp=30)
plot(showIIR3 and showIIRs ? iirma3 : na, title="IIR3", color=slope3color, linewidth=4, transp=30)

// checks slope of IIRs to create a boolean variable and and color it differently
if (iirma1[0] >= iirma1[1])
    slope1Green := true
else
    slope1Green := false
if (iirma2[0] >= iirma2[1])
    slope2Green := true
else
    slope2Green := false
if (iirma3[0] >= iirma3[1])
    slope3Green := true
else
    slope3Green := false

// calculate space between IIRs and then if the price jumps above both
//float singlePercent = close / 100  // = a single percent
var float distIIR1 = na
var float distIIR2 = na
distIIR1 := abs(iirma1 - iirma2)
distIIR2 := abs(iirma1 - iirma3)

if (distIIR1[0] < percentClose*singlePercent and close[0] >= iirma1[0])
    if close[0] >= iirma2[0] and close[0] >= iirma3[0]
        bgcolor := color.green
        insqueeze := true
        intightsqueeze := true
    else
        bgcolor := color.lime
        insqueeze := true
        intightsqueeze := false
else
    insqueeze := false
    intightsqueeze := false


// if (true)//sinceSmSignal > 0) //  cutting down on fastest MAs noise
//     sinceSmSignal := sinceSmSignal + 1
//     if (crossoverAB)
//         //checkEntry()
//         //smbuySignal := true
//         sinceSmSignal := 0
//     if (crossunderAB) // and all NOT greennot (slope1Green and slope2Green and slope3Green)
//         //checkExit()
//         //smsellSignal := true
//         sinceSmSignal := 0
// else
//     sinceSmSignal := sinceSmSignal + 1


f_draw_infopanel(_x, _y, _line, _text, _color)=>
    _rep_text = ""
    for _l = 0 to _line
        _rep_text := _rep_text + "\n"
    _rep_text := _rep_text + _text
    var label _la = na
    label.delete(_la)
    _la := label.new(
         x=_x, y=_y, 
         text=_rep_text, xloc=xloc.bar_time, yloc=yloc.price, 
         color=color.black, style=label.style_labelup, textcolor=_color, size=size.normal)

posx = timenow + round(change(time)*60)
posy = highest(50)

// CONSTRUCTION ZONE
// TODO:  program way to eliminate noise and false signals
// MAYBEDO: program it to differentiate between a moving average bump and a cross
//          I think the best way would be to calculate the tangent line... OR
//          Take the slope of both going back a couple bars and if it's close enough, its a bounce off
//          and an excellent entry signal
// program in quickest exit, 2 bars next to eachother both closing under, as to avoid a single wick from
// prompting to close the trade
// Some other time, have it move SMA up or down depending on whether trending up or down.  Then use those MA crosses

//THIS CHECKS THE SLOPE FROM CURRENT PRICE TO BACK 10 BARS
checkSlope(_series) =>  (_series[0]/_series[10])*100 // it now returns it as a percentage

doNewX = input(true, type=input.bool, title="══════════ Show misc MA Cross Strategy ══════════")

iirX = input(13, title="IIRx Length: ", type=input.integer)
iirXperiod = input(21, title="IIRx Period/TF: ", type=input.integer)

iirX2 = input(144, title="IIRx2 Length: ", type=input.integer)
iirX2period = input(233, title="IIRx2 Period/TF: ", type=input.integer) //15

almaXperiod = input(defval=21, title="Alma of IIR1 Period: ", type=input.integer)
almaXalpha = input(title="Alma Alpha Value: ", defval=.99, maxval=.99, type=input.float)
almaXsigma = input(title="Alma Sigma Value: ", defval=8, type=input.float)

iirmaOTF = iirma(multiplier(iirXperiod, iirX), close)
iirma2OTF = iirma(multiplier(iirX2period, iirX2), close)
smaOTF = alma(iirmaOTF, almaXperiod, almaXalpha, almaXsigma) // maybe dont touch, its precise  // I took the ALMA of the IIRMA, and i hope thats not cheating ;)

// I could have removed this.  the multiplier function adjusts the length to fit the current timeframe while displaying the same
// smaXOTF = security(syminfo.tickerid, smaXperiod, smaOTF, barmerge.gaps_on, barmerge.lookahead_on)
// iirmaXOTF = security(syminfo.tickerid, iirXperiod, iirmaOTF, barmerge.gaps_on, barmerge.lookahead_on)
// iirmaX2OTF = security(syminfo.tickerid, iirX2period, iirma2OTF, barmerge.gaps_on, barmerge.lookahead_on)
plot(doNewX ? smaOTF : na, title="FastMA X-Over :  ", color=color.blue, linewidth=1, transp=40)
plot(doNewX ? iirmaOTF : na, title="IIR MAx :  ", color=color.purple, linewidth=1, transp=30)
plot(doNewX ? iirma2OTF : na, title="IIR MAx :  ", color=color.purple, linewidth=2, transp=20)

iirma2Up = iirma2OTF[0] > iirma2OTF[1] // just another slope up/down variable. 

//calculate spaces between averages
distiiralma = abs(iirmaOTF - smaOTF)

crossoverFast = crossover(iirmaOTF[0], smaOTF[0]) // and (iirmaOTF[1] <= smaOTF[1])
crossunderFast = crossunder(iirmaOTF[0], smaOTF[0]) // and (iirmaOTF[1] >= smaOTF[1])

if (crossoverFast and iirma2Up == true) // and (count1 != 0))// or close[0] < (lowest(barLookbackPeriod) + singlePercent*3))) // must be at most a few percent up from a recent low.  Avoid buying highs :P
    buySignal := true
    strategyOpen()
    // if (slope1Green and slope2Green and slope3Green and infastsqueeze == false)
    //     checkEntry()
if (crossunderFast)
    sellSignal := true
    checkExit()

// I feel like I didn't cite the OG author for this panel correctly. I hope I did, but there are extentions of his/her work in multiple places.
// I could have gotten it confused.
if (debug)
    f_draw_infopanel(posx, posy, 18, "distiiralma from IIR: " + tostring(distiiralma), color.lime)
    //f_draw_infopanel(posx, posy, 16, "distiirs: " + tostring(distiirX1), color.lime)
    f_draw_infopanel(posx, posy, 14, "Value of iirmaOTF: " + tostring(iirmaOTF), color.lime)
    f_draw_infopanel(posx, posy, 6, "slope X: " + tostring(abs(100 - checkSlope(iirmaOTF))), color.lime)
    f_draw_infopanel(posx, posy, 12, "value of smaOTF: " + tostring(smaOTF), color.lime)
    f_draw_infopanel(posx, posy, 6, "slopeAlma: " + tostring(abs(100 - checkSlope(smaOTF))), color.lime)
    f_draw_infopanel(posx, posy, 2, "slopeIIR2 " + tostring(abs(100 - checkSlope(iirma2OTF))), color.lime)
    f_draw_infopanel(posx, posy, 2, "slopeIIR2 " + tostring(abs(100 - checkSlope(iirma2OTF))), color.lime)


// I kept this separate because it discludes the calculations.  Its hard to hold a train of thought while fishing for the right section
bgcolor(showBackground ? bgcolor : na)
plotshape(showSignals ? buySignal : na, location=location.bottom, style=shape.circle, text="", size=size.tiny, color=color.blue, transp=60)
plotshape(showSignals ? sellSignal : na, location=location.bottom, style=shape.circle, text="", size=size.tiny, color=color.red, transp=60)
plotchar(showSignals and smbuySignal, title="smBuy", location=location.belowbar, char='↑', size=size.tiny, color=color.green, transp=0)
plotchar(showSignals and smsellSignal, title="smSell", location=location.abovebar, char='↓', size=size.tiny, color=color.orange, transp=0)

// can not display a variable. Can only match the count to a corresponding plotchar
// to display a non-constant variable, use the debug box, which was so kindly offered up by our community.
plotchar(showCounts and count1==1, title='', char='1', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==2, title='', char='2', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==3, title='', char='3', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==4, title='', char='4', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==5, title='', char='5', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==6, title='', char='6', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==7, title='', char='7', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==8, title='', char='8', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1==9, title='', char='9', location=location.belowbar, color=#2c9e2c, transp=0)
plotchar(showCounts and count1>=10, title='', char='$', location=location.belowbar, color=#2c9e2c, transp=0)
    
plotchar(showCounts and count2==1, title='', char='1', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==2, title='', char='2', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==3, title='', char='3', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==4, title='', char='4', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==5, title='', char='5', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==6, title='', char='6', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==7, title='', char='7', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==8, title='', char='8', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2==9, title='', char='9', location=location.abovebar, color=#e91e63, transp=0)
plotchar(showCounts and count2>=10, title='', char='$', location=location.abovebar, color=#e91e63, transp=0)

showRSIind = input(true, type=input.bool, title="═══════════════════ Show RSI Arrows ═══════════════════")
// Get user input
rsiSource = input(title="RSI Source", type=input.source, defval=close)
rsiLength = input(title="RSI Length", type=input.integer, defval=14)
rsiOverbought = input(title="RSI Overbought Level", type=input.integer, defval=80)
rsiOversold = input(title="RSI Oversold Level", type=input.integer, defval=20)
// Get RSI value
rsiValue = rsi(rsiSource, rsiLength)
isRsiOB = rsiValue >= rsiOverbought
isRsiOS = rsiValue <= rsiOversold
// Plot signals to chart
plotshape(isRsiOB, title="Overbought", location=location.abovebar, color=color.red, transp=0, style=shape.triangledown)
plotshape(isRsiOS, title="Oversold", location=location.belowbar, color=color.green, transp=0, style=shape.triangleup)

//reset the var variables before new calculations
buySignal := false
sellSignal := false
smbuySignal := false
smsellSignal := false
bigbuySignal := false
bigsellSignal := false