Strategie zur Trendfolgeregelung mit mehreren gleitenden Durchschnitten


Erstellungsdatum: 2023-10-17 13:11:25 zuletzt geändert: 2023-10-17 13:11:25
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Strategie zur Trendfolgeregelung mit mehreren gleitenden Durchschnitten

Überblick

Die Strategie hat die Vorteile von getParameter: 1) Mehrere Moving Averages bilden ein Ratingsystem, das die Richtigkeit der Beurteilung verbessert; 2) Die Parameter des Ratingsystems können flexibel an verschiedene Sorten angepasst werden; 3) Die Ratingbedingungen für die Eintrittsprüfung können konfiguriert werden, um das Risiko zu kontrollieren.

Strategieprinzip

  1. Die Strategie verwendet insgesamt 17 verschiedene Arten von Moving Averages, darunter SMA, EMA, ALMA, SMMA, LSMA, VWMA, DEMA, HMA, KAMA, TEMA, ZLEMA, TRIMA, T3 usw.

  2. Für jeden Moving Average wird die Beziehung zu den Schlusskurs beurteilt. Wenn der Moving Average unter dem Schlusskurs liegt, wird ein Punkt bewertet, wenn er über dem Schlusskurs liegt, wird ein Punkt bewertet.

  3. Summieren Sie die Bewertungen aller Moving Averages und dividieren Sie sie durch die Anzahl der bewertbaren Moving Averages, um eine Gesamtbewertung zu erhalten.

  4. Vergleichen Sie die Komplettbewertung mit der Einstiegsbewertung und entscheiden Sie, in welche Richtung Sie eine Position eröffnen. Wenn die Komplettbewertung erreicht wird, machen Sie mehr Wertminderung, machen Sie mehr; wenn die Negativbewertung erreicht wird, machen Sie leere.

  5. Die Verwendung von beweglichen Durchschnitten mit unterschiedlichen Perioden ermöglicht die Beurteilung von kurz- und langfristigen Trends. Die Verwendung von verschiedenen Arten von beweglichen Durchschnitten ermöglicht eine umfangreichere Referenz für technische Indikatoren und ermöglicht eine vielseitige Bewertung.

Strategische Vorteile

  1. Mehrfache Moving Average-Bewertungen für mehr Genauigkeit

Die Strategie bewertet 17 verschiedene Moving Averages im Vergleich zu einem einzigen oder mehreren Moving Averages, wodurch die Richtung der Markttrends aus mehr Perspektiven beurteilt werden kann und die Ungenauigkeiten, die durch die Abweichung eines Indikators verursacht werden, verringert werden. Mehrere Indikatoren sind an der Bewertung beteiligt und können die Zuverlässigkeit der Endergebnisse erhöhen.

  1. Die Parameter des Rating-Systems sind konfigurierbar für verschiedene Sorten

Die Anzahl der Moving Average-Perioden und die Rating-Throughs können mit Parametern eingestellt werden, so dass die Strategie flexibel an die Eigenschaften der verschiedenen Handelsarten angepasst werden kann, was eine Optimierung fördert.

  1. Konfigurierbare Einstiegs-Rating-Bedingungen, Risikokontrolle

Die Strategie erlaubt die Konfiguration von mehreren entfernten Einstiegs-Rating-Trenchwerten. Die Signalisierung erfolgt erst, wenn der Komplex-Rating die Trenchwert erreicht hat, um Fehlpositionen zu vermeiden, wenn der Markt unklar ist. Eine vernünftige Einstellung der Einstiegs-Trenchwert hilft, unnötige Transaktionen zu reduzieren und das Risiko zu kontrollieren.

Risiken und Lösungen

  1. Eine einzelne Sorte könnte nicht funktionieren

Die Parameter der Strategie sind auf die Gesamtmarktgestaltung ausgerichtet und können für eine bestimmte Sorte nicht optimal geeignet sein. Die Lösung besteht darin, die Parameter für verschiedene Sorten individuell zu optimieren.

  1. Mehrfach fehlerhafter Markt

Die Strategie kann in einem Zustand von hohem Marktchaos zu falschen Signalen führen. Die Lösung ist, die Einstiegsbewertung zu senken und die Anzahl der Transaktionen zu reduzieren.

  1. Langzeitbetrieb kann regelmäßige Optimierungen erfordern

Die Marktumgebung ändert sich ständig, und feste Parameter-Einstellungen führen zu unterschiedlichen Effekten der Strategie. Es wird empfohlen, die Parameter der Optimierung von Zeit zu Zeit neu zu testen, um die Effektivität der Strategie zu gewährleisten.

Optimierungsrichtung

  1. Zusätzliche Indikatoren, wie z. B. die Schwankungsrate und die Transaktionsmenge, wurden hinzugefügt, um eine mehrdimensionale Entscheidungsgrundlage zu schaffen.

  2. Optimierung der Testparameter für verschiedene Sorten und Verbesserung der Anpassungsfähigkeit der Strategie.

  3. Längere Rücklaufzeiten, z. B. ein halbes Jahr, ein Jahr, Beobachtungsparameter und die Dauer der Wirkung.

  4. Es ist besser, die Wirksamkeit verschiedener Moving Averages in verschiedenen Perioden zu untersuchen und eine Kombination zu wählen.

  5. Versuchen Sie, die Parameter automatisch zu optimieren.

Zusammenfassen

Die Strategie hat den Vorteil, dass sie konfigurierbare Parameter hat, die flexibel an verschiedene Sorten angepasst werden können, und die Risikobereitschaft der Strategie kann durch Anpassung der Parameter gesteuert werden. Darüber hinaus kann die Rating-System kontinuierlich optimiert und verbessert werden, um die Strategie-Performance zu verbessern. Insgesamt nutzt die Strategie die Wirkung mehrerer technischer Indikatoren und bildet eine stärkere Trendverfolgung.

Strategiequellcode 
/*backtest
start: 2023-10-09 00:00:00
end: 2023-10-12 02:00:00
period: 1m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © exlux99

//@version=5

strategy(title='Ultra Moving Average Rating Trend Strategy', overlay=true)  //,  pyramiding=1,initial_capital = 1000, default_qty_type= strategy.percent_of_equity, default_qty_value = 100, calc_on_order_fills=false, slippage=0,commission_type=strategy.commission.percent,commission_value=0.03)
// //


//==========DEMA
getDEMA(src, len) =>
    dema = 2 * ta.ema(src, len) - ta.ema(ta.ema(src, len), len)
    dema
//==========HMA
getHULLMA(src, len) =>
    hullma = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))
    hullma
//==========KAMA
getKAMA(src, len, k1, k2) =>
    change = math.abs(ta.change(src, len))
    volatility = math.sum(math.abs(ta.change(src)), len)
    efficiency_ratio = volatility != 0 ? change / volatility : 0
    kama = 0.0
    fast = 2 / (k1 + 1)
    slow = 2 / (k2 + 1)
    smooth_const = math.pow(efficiency_ratio * (fast - slow) + slow, 2)
    kama := nz(kama[1]) + smooth_const * (src - nz(kama[1]))
    kama
//==========TEMA
getTEMA(src, len) =>
    e = ta.ema(src, len)
    tema = 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len)
    tema
//==========ZLEMA
getZLEMA(src, len) =>
    zlemalag_1 = (len - 1) / 2
    zlemadata_1 = src + src - src[zlemalag_1]
    zlema = ta.ema(zlemadata_1, len)
    zlema
//==========FRAMA
getFRAMA(src, len) =>
    Price = src
    N = len
    if N % 2 != 0
        N += 1
        N
    N1 = 0.0
    N2 = 0.0
    N3 = 0.0
    HH = 0.0
    LL = 0.0
    Dimen = 0.0
    alpha = 0.0
    Filt = 0.0
    N3 := (ta.highest(N) - ta.lowest(N)) / N
    HH := ta.highest(N / 2 - 1)
    LL := ta.lowest(N / 2 - 1)
    N1 := (HH - LL) / (N / 2)
    HH := high[N / 2]
    LL := low[N / 2]
    for i = N / 2 to N - 1 by 1
        if high[i] > HH
            HH := high[i]
            HH
        if low[i] < LL
            LL := low[i]
            LL
    N2 := (HH - LL) / (N / 2)
    if N1 > 0 and N2 > 0 and N3 > 0
        Dimen := (math.log(N1 + N2) - math.log(N3)) / math.log(2)
        Dimen
    alpha := math.exp(-4.6 * (Dimen - 1))
    if alpha < .01
        alpha := .01
        alpha
    if alpha > 1
        alpha := 1
        alpha
    Filt := alpha * Price + (1 - alpha) * nz(Filt[1], 1)
    if bar_index < N + 1
        Filt := Price
        Filt
    Filt
//==========VIDYA
getVIDYA(src, len) =>
    mom = ta.change(src)
    upSum = math.sum(math.max(mom, 0), len)
    downSum = math.sum(-math.min(mom, 0), len)
    out = (upSum - downSum) / (upSum + downSum)
    cmo = math.abs(out)
    alpha = 2 / (len + 1)
    vidya = 0.0
    vidya := src * alpha * cmo + nz(vidya[1]) * (1 - alpha * cmo)
    vidya
//==========JMA
getJMA(src, len, power, phase) =>
    phase_ratio = phase < -100 ? 0.5 : phase > 100 ? 2.5 : phase / 100 + 1.5
    beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2)
    alpha = math.pow(beta, power)
    MA1 = 0.0
    Det0 = 0.0
    MA2 = 0.0
    Det1 = 0.0
    JMA = 0.0
    MA1 := (1 - alpha) * src + alpha * nz(MA1[1])
    Det0 := (src - MA1) * (1 - beta) + beta * nz(Det0[1])
    MA2 := MA1 + phase_ratio * Det0
    Det1 := (MA2 - nz(JMA[1])) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(Det1[1])
    JMA := nz(JMA[1]) + Det1
    JMA
//==========T3
getT3(src, len, vFactor) =>
    ema1 = ta.ema(src, len)
    ema2 = ta.ema(ema1, len)
    ema3 = ta.ema(ema2, len)
    ema4 = ta.ema(ema3, len)
    ema5 = ta.ema(ema4, len)
    ema6 = ta.ema(ema5, len)
    c1 = -1 * math.pow(vFactor, 3)
    c2 = 3 * math.pow(vFactor, 2) + 3 * math.pow(vFactor, 3)
    c3 = -6 * math.pow(vFactor, 2) - 3 * vFactor - 3 * math.pow(vFactor, 3)
    c4 = 1 + 3 * vFactor + math.pow(vFactor, 3) + 3 * math.pow(vFactor, 2)
    T3 = c1 * ema6 + c2 * ema5 + c3 * ema4 + c4 * ema3
    T3
//==========TRIMA
getTRIMA(src, len) =>
    N = len + 1
    Nm = math.round(N / 2)
    TRIMA = ta.sma(ta.sma(src, Nm), Nm)
    TRIMA




//-------------- FUNCTIONS 
dirmov(len) =>
    up = ta.change(high)
    down = -ta.change(low)
    plusDM = na(up) ? na : up > down and up > 0 ? up : 0
    minusDM = na(down) ? na : down > up and down > 0 ? down : 0
    truerange = ta.rma(ta.tr, len)
    plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
    minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
    [plus, minus]

adx(dilen, adxlen) =>
    [plus, minus] = dirmov(dilen)
    sum = plus + minus
    adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
    adx

src = close

res = input.timeframe("", title="Indicator Timeframe")

// Ichimoku Cloud
donchian(len) => math.avg(ta.lowest(len), ta.highest(len))
ichimoku_cloud() =>
    conversionLine = donchian(9)
    baseLine = donchian(26)
    leadLine1 = math.avg(conversionLine, baseLine)
    leadLine2 = donchian(52)
    [conversionLine, baseLine, leadLine1, leadLine2]

calcRatingMA(ma, src) => na(ma) or na(src) ? na : (ma == src ? 0 : ( ma < src ? 1 : -1 ))
calcRating(buy, sell) => buy ? 1 : ( sell ? -1 : 0 )
calcRatingAll() =>
    //============== MA =================
    

    
    SMA10 = ta.sma(close, 10)
    SMA20 = ta.sma(close, 20)
    SMA30 = ta.sma(close, 30)
    SMA50 = ta.sma(close, 50)
    SMA100 = ta.sma(close, 100)
    SMA200 = ta.sma(close, 200)

    EMA10 = ta.ema(close, 10)
    EMA20 = ta.ema(close, 20)
    EMA30 = ta.ema(close, 30)
    EMA50 = ta.ema(close, 50)
    EMA100 = ta.ema(close, 100)
    EMA200 = ta.ema(close, 200)
    
    ALMA10 = ta.alma(close, 10, 0.85, 6)
    ALMA20 = ta.alma(close, 20, 0.85, 6)
    ALMA50 = ta.alma(close, 50, 0.85, 6)
    ALMA100 = ta.alma(close, 100, 0.85, 6)
    ALMA200 = ta.alma(close, 200, 0.85, 6)
    
    SMMA10 = ta.rma(close, 10)
    SMMA20 = ta.rma(close, 20)
    SMMA50 = ta.rma(close, 50)
    SMMA100 = ta.rma(close, 100)
    SMMA200 = ta.rma(close, 200)

    LSMA10 = ta.linreg(close, 10, 0)
    LSMA20 = ta.linreg(close, 20, 0)
    LSMA50 = ta.linreg(close, 50, 0)
    LSMA100 = ta.linreg(close, 100, 0)
    LSMA200 = ta.linreg(close, 200, 0)

    VWMA10 = ta.vwma(close, 10)
    VWMA20 = ta.vwma(close, 20)
    VWMA50 = ta.vwma(close, 50)
    VWMA100 = ta.vwma(close, 100)
    VWMA200 = ta.vwma(close, 200)

    DEMA10 = getDEMA(close, 10)
    DEMA20 = getDEMA(close, 20)
    DEMA50 = getDEMA(close, 50)
    DEMA100 =getDEMA(close, 100)
    DEMA200 = getDEMA(close, 200)
    
    HMA10 =  ta.hma(close, 10)
    HMA20 =  ta.hma(close, 20)
    HMA50 =  ta.hma(close, 50)
    HMA100 = ta.hma(close, 100)
    HMA200 = ta.hma(close, 200)
    
    KAMA10 =   getKAMA(close, 10, 2, 30)
    KAMA20 =   getKAMA(close, 20, 2, 30)
    KAMA50 =   getKAMA(close, 50, 2, 30)
    KAMA100 =  getKAMA(close, 100, 2, 30)
    KAMA200 =  getKAMA(close, 200 , 2, 30)
    
    FRAMA10 = getFRAMA(close, 10)
    FRAMA20 = getFRAMA(close, 20)
    FRAMA50 = getFRAMA(close, 50)
    FRAMA100 =getFRAMA(close, 100)
    FRAMA200 = getFRAMA(close, 200)

    VIDMA10 = getVIDYA(close, 10)
    VIDMA20 = getVIDYA(close, 20)
    VIDMA50 = getVIDYA(close, 50)
    VIDMA100 =getVIDYA(close, 100)
    VIDMA200 = getVIDYA(close, 200)
    
    JMA10 = getJMA(close, 10, 2, 50)
    JMA20 = getJMA(close, 20, 2, 50)
    JMA50 = getJMA(close, 50, 2, 50)
    JMA100 =getJMA(close, 100, 2, 50)
    JMA200 = getJMA(close, 200, 2, 50)
    
    TEMA10 = getTEMA(close, 10)
    TEMA20 = getTEMA(close, 20)
    TEMA50 = getTEMA(close, 50)
    TEMA100 =getTEMA(close, 100)
    TEMA200 = getTEMA(close, 200)
    
    ZLEMA10 = getZLEMA(close, 10)
    ZLEMA20 = getZLEMA(close, 20)
    ZLEMA50 = getZLEMA(close, 50)
    ZLEMA100 =getZLEMA(close, 100)
    ZLEMA200 = getZLEMA(close, 200)
    
    TRIMA10 = getTRIMA(close, 10)
    TRIMA20 = getTRIMA(close, 20)
    TRIMA50 = getTRIMA(close, 50)
    TRIMA100 =getTRIMA(close, 100)
    TRIMA200 = getTRIMA(close, 200)
    
    T3MA10 = getT3(close, 10, 0.7)
    T3MA20 = getT3(close, 20, 0.7)
    T3MA50 = getT3(close, 50, 0.7)
    T3MA100 =getT3(close, 100, 0.7)
    T3MA200 = getT3(close, 200, 0.7)
    
    [IC_CLine, IC_BLine, IC_Lead1, IC_Lead2] = ichimoku_cloud()

 
    ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

    PriceAvg = ta.ema(close, 50)
    DownTrend = close < PriceAvg
    UpTrend = close > PriceAvg
    // calculate trading recommendation based on SMA/EMA
    float ratingMA = 0
    float ratingMAC = 0

    float ratingSMA10 = na
    if not na(SMA10)
        ratingSMA10 := calcRatingMA(SMA10, close)
        ratingMA := ratingMA + ratingSMA10
        ratingMAC := ratingMAC + 1
    float ratingSMA20 = na
    if not na(SMA20)
        ratingSMA20 := calcRatingMA(SMA20, close)
        ratingMA := ratingMA + ratingSMA20
        ratingMAC := ratingMAC + 1
    float ratingSMA30 = na
    if not na(SMA30)
        ratingSMA30 := calcRatingMA(SMA30, close)
        ratingMA := ratingMA + ratingSMA30
        ratingMAC := ratingMAC + 1
    float ratingSMA50 = na
    if not na(SMA50)
        ratingSMA50 := calcRatingMA(SMA50, close)
        ratingMA := ratingMA + ratingSMA50
        ratingMAC := ratingMAC + 1
    float ratingSMA100 = na
    if not na(SMA100)
        ratingSMA100 := calcRatingMA(SMA100, close)
        ratingMA := ratingMA + ratingSMA100
        ratingMAC := ratingMAC + 1
    float ratingSMA200 = na
    if not na(SMA200)
        ratingSMA200 := calcRatingMA(SMA200, close)
        ratingMA := ratingMA + ratingSMA200
        ratingMAC := ratingMAC + 1

    float ratingEMA10 = na
    if not na(EMA10)
        ratingEMA10 := calcRatingMA(EMA10, close)
        ratingMA := ratingMA + ratingEMA10
        ratingMAC := ratingMAC + 1
    float ratingEMA20 = na
    if not na(EMA20)
        ratingEMA20 := calcRatingMA(EMA20, close)
        ratingMA := ratingMA + ratingEMA20
        ratingMAC := ratingMAC + 1
    float ratingEMA30 = na
    if not na(EMA30)
        ratingEMA30 := calcRatingMA(EMA30, close)
        ratingMA := ratingMA + ratingEMA30
        ratingMAC := ratingMAC + 1
    float ratingEMA50 = na
    if not na(EMA50)
        ratingEMA50 := calcRatingMA(EMA50, close)
        ratingMA := ratingMA + ratingEMA50
        ratingMAC := ratingMAC + 1
    float ratingEMA100 = na
    if not na(EMA100)
        ratingEMA100 := calcRatingMA(EMA100, close)
        ratingMA := ratingMA + ratingEMA100
        ratingMAC := ratingMAC + 1
    float ratingEMA200 = na
    if not na(EMA200)
        ratingEMA200 := calcRatingMA(EMA200, close)
        ratingMA := ratingMA + ratingEMA200
        ratingMAC := ratingMAC + 1

///////////////////////////
    float ratingALMA10 = na
    if not na(ALMA10)
        ratingALMA10 := calcRatingMA(ALMA10, close)
        ratingMA := ratingMA + ratingALMA10
        ratingMAC := ratingMAC + 1
        
    float ratingALMA20 = na
    if not na(ALMA20)
        ratingALMA20 := calcRatingMA(ALMA20, close)
        ratingMA := ratingMA + ratingALMA20
        ratingMAC := ratingMAC + 1
        
    float ratingALMA50 = na
    if not na(ALMA50)
        ratingALMA50 := calcRatingMA(ALMA50, close)
        ratingMA := ratingMA + ratingALMA50
        ratingMAC := ratingMAC + 1
        
    float ratingALMA100 = na
    if not na(ALMA100)
        ratingALMA100 := calcRatingMA(ALMA100, close)
        ratingMA := ratingMA + ratingALMA100
        ratingMAC := ratingMAC + 1

    float ratingALMA200 = na
    if not na(ALMA200)
        ratingALMA200 := calcRatingMA(ALMA200, close)
        ratingMA := ratingMA + ratingALMA200
        ratingMAC := ratingMAC + 1


/////////////////////////

///////////////////////////
///////////////////////////
    float ratingSMMA10 = na
    if not na(SMMA10)
        ratingSMMA10 := calcRatingMA(SMMA10, close)
        ratingMA := ratingMA + ratingSMMA10
        ratingMAC := ratingMAC + 1
        
    float ratingSMMA20 = na
    if not na(SMMA20)
        ratingSMMA20 := calcRatingMA(SMMA20, close)
        ratingMA := ratingMA + ratingSMMA20
        ratingMAC := ratingMAC + 1
        
    float ratingSMMA50 = na
    if not na(SMMA50)
        ratingSMMA50 := calcRatingMA(SMMA50, close)
        ratingMA := ratingMA + ratingSMMA50
        ratingMAC := ratingMAC + 1
        
    float ratingSMMA100 = na
    if not na(SMMA100)
        ratingSMMA100 := calcRatingMA(SMMA100, close)
        ratingMA := ratingMA + ratingSMMA100
        ratingMAC := ratingMAC + 1

    float ratingSMMA200 = na
    if not na(SMMA200)
        ratingSMMA200 := calcRatingMA(SMMA200, close)
        ratingMA := ratingMA + ratingSMMA200
        ratingMAC := ratingMAC + 1


/////////////////////////

///////////////////////////
///////////////////////////
    float ratingLSMA10 = na
    if not na(LSMA10)
        ratingLSMA10 := calcRatingMA(LSMA10, close)
        ratingMA := ratingMA + ratingLSMA10
        ratingMAC := ratingMAC + 1
        
    float ratingLSMA20 = na
    if not na(LSMA20)
        ratingLSMA20 := calcRatingMA(LSMA20, close)
        ratingMA := ratingMA + ratingLSMA20
        ratingMAC := ratingMAC + 1
        
    float ratingLSMA50 = na
    if not na(LSMA50)
        ratingLSMA50 := calcRatingMA(LSMA50, close)
        ratingMA := ratingMA + ratingLSMA50
        ratingMAC := ratingMAC + 1
        
    float ratingLSMA100 = na
    if not na(LSMA100)
        ratingLSMA100 := calcRatingMA(LSMA100, close)
        ratingMA := ratingMA + ratingLSMA100
        ratingMAC := ratingMAC + 1

    float ratingLSMA200 = na
    if not na(LSMA200)
        ratingLSMA200 := calcRatingMA(LSMA200, close)
        ratingMA := ratingMA + ratingLSMA200
        ratingMAC := ratingMAC + 1


/////////////////////////

///////////////////////////
///////////////////////////
    float ratingVWMA10 = na
    if not na(VWMA10)
        ratingVWMA10 := calcRatingMA(VWMA10, close)
        ratingMA := ratingMA + ratingVWMA10
        ratingMAC := ratingMAC + 1
        
    float ratingVWMA20 = na
    if not na(VWMA20)
        ratingVWMA20 := calcRatingMA(VWMA20, close)
        ratingMA := ratingMA + ratingVWMA20
        ratingMAC := ratingMAC + 1
        
    float ratingVWMA50 = na
    if not na(VWMA50)
        ratingVWMA50 := calcRatingMA(VWMA50, close)
        ratingMA := ratingMA + ratingVWMA50
        ratingMAC := ratingMAC + 1
        
    float ratingVWMA100 = na
    if not na(VWMA100)
        ratingVWMA100 := calcRatingMA(VWMA100, close)
        ratingMA := ratingMA + ratingVWMA100
        ratingMAC := ratingMAC + 1

    float ratingVWMA200 = na
    if not na(VWMA200)
        ratingVWMA200 := calcRatingMA(VWMA200, close)
        ratingMA := ratingMA + ratingVWMA200
        ratingMAC := ratingMAC + 1


/////////////////////////

///////////////////////////
///////////////////////////
    float ratingDEMA10 = na
    if not na(DEMA10)
        ratingDEMA10 := calcRatingMA(DEMA10, close)
        ratingMA := ratingMA + ratingDEMA10
        ratingMAC := ratingMAC + 1
        
    float ratingDEMA20 = na
    if not na(DEMA20)
        ratingDEMA20 := calcRatingMA(DEMA20, close)
        ratingMA := ratingMA + ratingDEMA20
        ratingMAC := ratingMAC + 1
        
    float ratingDEMA50 = na
    if not na(DEMA50)
        ratingDEMA50 := calcRatingMA(DEMA50, close)
        ratingMA := ratingMA + ratingDEMA50
        ratingMAC := ratingMAC + 1
        
    float ratingDEMA100 = na
    if not na(DEMA100)
        ratingDEMA100 := calcRatingMA(DEMA100, close)
        ratingMA := ratingMA + ratingDEMA100
        ratingMAC := ratingMAC + 1

    float ratingDEMA200 = na
    if not na(DEMA200)
        ratingDEMA200 := calcRatingMA(DEMA200, close)
        ratingMA := ratingMA + ratingDEMA200
        ratingMAC := ratingMAC + 1

/////////////////////////
///////////////////////////
    float ratingHMA10 = na
    if not na(HMA10)
        ratingHMA10 := calcRatingMA(HMA10, close)
        ratingMA := ratingMA + ratingHMA10
        ratingMAC := ratingMAC + 1
        
    float ratingHMA20 = na
    if not na(HMA20)
        ratingHMA20 := calcRatingMA(HMA20, close)
        ratingMA := ratingMA + ratingHMA20
        ratingMAC := ratingMAC + 1
        
    float ratingHMA50 = na
    if not na(HMA50)
        ratingHMA50 := calcRatingMA(HMA50, close)
        ratingMA := ratingMA + ratingHMA50
        ratingMAC := ratingMAC + 1
        
    float ratingHMA100 = na
    if not na(HMA100)
        ratingHMA100 := calcRatingMA(HMA100, close)
        ratingMA := ratingMA + ratingHMA100
        ratingMAC := ratingMAC + 1

    float ratingHMA200 = na
    if not na(HMA200)
        ratingHMA200 := calcRatingMA(HMA200, close)
        ratingMA := ratingMA + ratingHMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
///////////////////////////
    float ratingKAMA10 = na
    if not na(KAMA10)
        ratingKAMA10 := calcRatingMA(KAMA10, close)
        ratingMA := ratingMA + ratingKAMA10
        ratingMAC := ratingMAC + 1
        
    float ratingKAMA20 = na
    if not na(KAMA20)
        ratingKAMA20 := calcRatingMA(KAMA20, close)
        ratingMA := ratingMA + ratingKAMA20
        ratingMAC := ratingMAC + 1
        
    float ratingKAMA50 = na
    if not na(KAMA50)
        ratingKAMA50 := calcRatingMA(KAMA50, close)
        ratingMA := ratingMA + ratingKAMA50
        ratingMAC := ratingMAC + 1
        
    float ratingKAMA100 = na
    if not na(KAMA100)
        ratingKAMA100 := calcRatingMA(KAMA100, close)
        ratingMA := ratingMA + ratingKAMA100
        ratingMAC := ratingMAC + 1

    float ratingKAMA200 = na
    if not na(KAMA200)
        ratingKAMA200 := calcRatingMA(KAMA200, close)
        ratingMA := ratingMA + ratingKAMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
///////////////////////////
    float ratingFRAMA10 = na
    if not na(FRAMA10)
        ratingFRAMA10 := calcRatingMA(FRAMA10, close)
        ratingMA := ratingMA + ratingFRAMA10
        ratingMAC := ratingMAC + 1
        
    float ratingFRAMA20 = na
    if not na(FRAMA20)
        ratingFRAMA20 := calcRatingMA(FRAMA20, close)
        ratingMA := ratingMA + ratingFRAMA20
        ratingMAC := ratingMAC + 1
        
    float ratingFRAMA50 = na
    if not na(FRAMA50)
        ratingFRAMA50 := calcRatingMA(FRAMA50, close)
        ratingMA := ratingMA + ratingFRAMA50
        ratingMAC := ratingMAC + 1
        
    float ratingFRAMA100 = na
    if not na(FRAMA100)
        ratingFRAMA100 := calcRatingMA(FRAMA100, close)
        ratingMA := ratingMA + ratingFRAMA100
        ratingMAC := ratingMAC + 1

    float ratingFRAMA200 = na
    if not na(FRAMA200)
        ratingFRAMA200 := calcRatingMA(FRAMA200, close)
        ratingMA := ratingMA + ratingFRAMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
///////////////////////////
    float ratingVIDMA10 = na
    if not na(VIDMA10)
        ratingVIDMA10 := calcRatingMA(VIDMA10, close)
        ratingMA := ratingMA + ratingVIDMA10
        ratingMAC := ratingMAC + 1
        
    float ratingVIDMA20 = na
    if not na(VIDMA20)
        ratingVIDMA20 := calcRatingMA(VIDMA20, close)
        ratingMA := ratingMA + ratingVIDMA20
        ratingMAC := ratingMAC + 1
        
    float ratingVIDMA50 = na
    if not na(VIDMA50)
        ratingVIDMA50 := calcRatingMA(VIDMA50, close)
        ratingMA := ratingMA + ratingVIDMA50
        ratingMAC := ratingMAC + 1
        
    float ratingVIDMA100 = na
    if not na(VIDMA100)
        ratingVIDMA100 := calcRatingMA(VIDMA100, close)
        ratingMA := ratingMA + ratingVIDMA100
        ratingMAC := ratingMAC + 1

    float ratingVIDMA200 = na   
    if not na(VIDMA200)
        ratingVIDMA200 := calcRatingMA(VIDMA200, close)
        ratingMA := ratingMA + ratingVIDMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
    float ratingJMA10 = na
    if not na(JMA10)
        ratingJMA10 := calcRatingMA(JMA10, close)
        ratingMA := ratingMA + ratingJMA10
        ratingMAC := ratingMAC + 1
        
    float ratingJMA20 = na
    if not na(JMA20)
        ratingJMA20 := calcRatingMA(JMA20, close)
        ratingMA := ratingMA + ratingJMA20
        ratingMAC := ratingMAC + 1
        
    float ratingJMA50 = na
    if not na(JMA50)
        ratingJMA50 := calcRatingMA(JMA50, close)
        ratingMA := ratingMA + ratingJMA50
        ratingMAC := ratingMAC + 1
        
    float ratingJMA100 = na
    if not na(JMA100)
        ratingJMA100 := calcRatingMA(JMA100, close)
        ratingMA := ratingMA + ratingJMA100
        ratingMAC := ratingMAC + 1

    float ratingJMA200 = na
    if not na(JMA200)
        ratingJMA200 := calcRatingMA(JMA200, close)
        ratingMA := ratingMA + ratingJMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
///////////////////////////
    float ratingTEMA10 = na
    if not na(TEMA10)
        ratingTEMA10 := calcRatingMA(TEMA10, close)
        ratingMA := ratingMA + ratingTEMA10
        ratingMAC := ratingMAC + 1
        
    float ratingTEMA20 = na
    if not na(TEMA20)
        ratingTEMA20 := calcRatingMA(TEMA20, close)
        ratingMA := ratingMA + ratingTEMA20
        ratingMAC := ratingMAC + 1
        
    float ratingTEMA50 = na
    if not na(TEMA50)
        ratingTEMA50 := calcRatingMA(TEMA50, close)
        ratingMA := ratingMA + ratingTEMA50
        ratingMAC := ratingMAC + 1
        
    float ratingTEMA100 = na
    if not na(TEMA100)
        ratingTEMA100 := calcRatingMA(TEMA100, close)
        ratingMA := ratingMA + ratingTEMA100
        ratingMAC := ratingMAC + 1

    float ratingTEMA200 = na
    if not na(TEMA200)
        ratingTEMA200 := calcRatingMA(TEMA200, close)
        ratingMA := ratingMA + ratingTEMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
    float ratingZLEMA10 = na
    if not na(ZLEMA10)
        ratingZLEMA10 := calcRatingMA(ZLEMA10, close)
        ratingMA := ratingMA + ratingZLEMA10
        ratingMAC := ratingMAC + 1
        
    float ratingZLEMA20 = na
    if not na(ZLEMA20)
        ratingZLEMA20 := calcRatingMA(ZLEMA20, close)
        ratingMA := ratingMA + ratingZLEMA20
        ratingMAC := ratingMAC + 1
        
    float ratingZLEMA50 = na
    if not na(ZLEMA50)
        ratingZLEMA50 := calcRatingMA(ZLEMA50, close)
        ratingMA := ratingMA + ratingZLEMA50
        ratingMAC := ratingMAC + 1
        
    float ratingZLEMA100 = na
    if not na(ZLEMA100)
        ratingZLEMA100 := calcRatingMA(ZLEMA100, close)
        ratingMA := ratingMA + ratingZLEMA100
        ratingMAC := ratingMAC + 1

    float ratingZLEMA200 = na
    if not na(ZLEMA200)
        ratingZLEMA200 := calcRatingMA(ZLEMA200, close)
        ratingMA := ratingMA + ratingZLEMA200
        ratingMAC := ratingMAC + 1
/////////////////////////

///////////////////////////
///////////////////////////
    float ratingTRIMA10 = na
    if not na(TRIMA10)
        ratingTRIMA10 := calcRatingMA(TRIMA10, close)
        ratingMA := ratingMA + ratingTRIMA10
        ratingMAC := ratingMAC + 1
        
    float ratingTRIMA20 = na
    if not na(TRIMA20)
        ratingTRIMA20 := calcRatingMA(TRIMA20, close)
        ratingMA := ratingMA + ratingTRIMA20
        ratingMAC := ratingMAC + 1
        
    float ratingTRIMA50 = na
    if not na(TRIMA50)
        ratingTRIMA50 := calcRatingMA(TRIMA50, close)
        ratingMA := ratingMA + ratingTRIMA50
        ratingMAC := ratingMAC + 1
        
    float ratingTRIMA100 = na
    if not na(TRIMA100)
        ratingTRIMA100 := calcRatingMA(TRIMA100, close)
        ratingMA := ratingMA + ratingTRIMA100
        ratingMAC := ratingMAC + 1

    float ratingTRIMA200 = na
    if not na(TRIMA200)
        ratingTRIMA200 := calcRatingMA(TRIMA200, close)
        ratingMA := ratingMA + ratingTRIMA200
        ratingMAC := ratingMAC + 1
/////////////////////////
///////////////////////////
    float ratingT3MA10 = na
    if not na(T3MA10)
        ratingT3MA10 := calcRatingMA(T3MA10, close)
        ratingMA := ratingMA + ratingT3MA10
        ratingMAC := ratingMAC + 1
        
    float ratingT3MA20 = na
    if not na(T3MA20)
        ratingT3MA20 := calcRatingMA(T3MA20, close)
        ratingMA := ratingMA + ratingT3MA20
        ratingMAC := ratingMAC + 1
        
    float ratingT3MA50 = na
    if not na(T3MA50)
        ratingT3MA50 := calcRatingMA(T3MA50, close)
        ratingMA := ratingMA + ratingT3MA50
        ratingMAC := ratingMAC + 1
        
    float ratingT3MA100 = na
    if not na(T3MA100)
        ratingT3MA100 := calcRatingMA(T3MA100, close)
        ratingMA := ratingMA + ratingT3MA100
        ratingMAC := ratingMAC + 1

    float ratingT3MA200 = na
    if not na(T3MA200)
        ratingT3MA200 := calcRatingMA(T3MA200, close)
        ratingMA := ratingMA + ratingT3MA200
        ratingMAC := ratingMAC + 1
        
//////////////////////////////////////////


    float ratingIC = na
    if not (na(IC_Lead1) or na(IC_Lead2) or na(close) or na(close[1]) or na(IC_BLine) or na(IC_CLine))
        ratingIC := calcRating(
         IC_Lead1 > IC_Lead2 and close > IC_Lead1 and close < IC_BLine and close[1] < IC_CLine and close > IC_CLine,
         IC_Lead2 > IC_Lead1 and close < IC_Lead2 and close > IC_BLine and close[1] > IC_CLine and close < IC_CLine)
    if not na(ratingIC)
        ratingMA := ratingMA + ratingIC
        ratingMAC := ratingMAC + 1

    ratingMA := ratingMAC > 0 ? ratingMA / ratingMAC : na


    float ratingTotal = 0
    float ratingTotalC = 0
    if not na(ratingMA)
        ratingTotal := ratingTotal + ratingMA
        ratingTotalC := ratingTotalC + 1
    ratingTotal := ratingTotalC > 0 ? ratingTotal / ratingTotalC : na

    [ratingTotal,  ratingMA]



getSignal2(ratingTotal,  ratingMA) =>
    float _res = ratingTotal
    _res := ratingMA

    
[ratingTotal, ratingMA]  = request.security(syminfo.tickerid, res, calcRatingAll())
tradeSignal = getSignal2(ratingTotal,  ratingMA)


rating_entry = input.float(0.95, title='Rating for long', group="Entry Rating %", step=0.05)
rating_exit = input.float(0.75, title='Rating for short', group="Entry Rating %", step=0.05) * -1

long = tradeSignal >= rating_entry  
short = tradeSignal <= rating_exit


strategy.entry("long",strategy.long,when=long)
strategy.entry('short',strategy.short,when=short)
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