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Quantitative Handelsstrategie auf der Grundlage eines doppelten Trendfilters

Schriftsteller:ChaoZhang, Datum: 2023-12-26
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Übersicht

Dies ist eine quantitative Handelsstrategie, die doppelte Trendfilter verwendet. Die Strategie kombiniert sowohl den globalen Trendfilter als auch den lokalen Trendfilter, um sicherzustellen, dass nur dann Positionen eingegeben werden, wenn die Trendrichtung korrekt ist. Darüber hinaus setzt die Strategie mehrere andere Filter wie RSI-Filter, Preisfilter, Neigungsfilter usw., um die Zuverlässigkeit der Handelssignale weiter zu verbessern. Auf der Ausfahrtsseite setzt die Strategie den Stop-Loss-Preis und den Gewinnpreis vor. Insgesamt ist dies eine stabile und genaue quantitative Handelsstrategie.

Strategie Logik

Die Kernlogik dieser Strategie basiert auf den doppelten Trendfiltern. Der globale Trendfilter beurteilt den Gesamtmarkttrend anhand der EMA für hohe Perioden, während der lokale Trendfilter den lokalen Trend anhand der EMA für niedrige Perioden beurteilt. Nur wenn beide Filter die gleiche Trendrichtung vorschlagen, tritt die Strategie in Positionen ein.

Insbesondere berechnet die Strategie die EMA von BTCUSDT, um festzustellen, ob der Gesamtmarkt in einem Auf- oder Abwärtstrend ist. Dies ist der globale Trendfilter. Gleichzeitig berechnet die Strategie die EMA des zugrunde liegenden Vertrags, um den lokalen Trend zu bestimmen. Dies ist der lokale Trendfilter. Nur wenn beide Filter sich auf die gleiche Trendrichtung einigen, kombiniert mit anderen Hilfsfiltern, erzeugt die Strategie Handelssignale und setzt Stop-Loss und Gewinnpreise für das Eintreten von Positionen ein.

Nach der Feststellung eines handelbaren Signals platziert die Strategie sofort Aufträge, um Positionen zu betreten. In der Zwischenzeit werden Stop-Loss-Preis und Take-Profit-Preis voreingestellt. Wenn der Preis einen von ihnen berührt, tritt die Strategie automatisch aus Positionen mit Stop-Loss oder Take-Profit.

Analyse der Vorteile

Dies ist eine stabile und zuverlässige quantitative Handelsstrategie mit folgenden Hauptvorteilen:

  1. Ein doppeltes Trendfiltermechanismus zu übernehmen, um die meisten falschen Signale auszufiltern und die Handelssignale zuverlässiger zu machen.

  2. Kombination mehrerer Hilfsfilter wie RSI-Filter und Preisfilter zur weiteren Verbesserung der Signalqualität.

  3. Automatische Berechnung von Stop Loss und Take Profit-Preisen, um Handelsrisiken ohne manuelle Überwachung zu senken.

  4. Anpassungsfähige Strategieparameter zur Anpassung mehrer Handelsinstrumente mit besserer Anpassungsfähigkeit.

  5. Eine klare Strategie-Logik, leicht verständlich und mit einem größeren Optimierungspotenzial.

Risikoanalyse

Obwohl es viele Vorteile gibt, bestehen noch einige Handelsrisiken, hauptsächlich in den folgenden Bereichen:

  1. Die doppelten Trendfilter können den genauen Eintrittszeitpunkt möglicherweise nicht bestimmen.

  2. Eine ungenaue Stop-Loss- und Take-Profit-Price-Einstellung kann zu einem vorzeitigen Ausstieg führen.

  3. Eine falsche Auswahl von Handelsinstrumenten und Zeitrahmen kann die Strategie unwirksam machen.

  4. Es bestehen einige Risiken für eine Überanpassung.

Optimierungsrichtlinien

Zu den wichtigsten Richtungen für die Optimierung dieser Strategie gehören:

  1. Die Parameter der doppelten Filter werden angepasst, um die optimale Kombination zu finden.

  2. Testen und wählen Sie die besten Hilfsfilter aus.

  3. Optimieren Sie die Stop-Loss- und Gewinnalgorithmen, um sie intelligenter zu machen.

  4. Versuchen Sie, maschinelle Lernmodelle für dynamisches Parameter-Tuning einzuführen.

  5. Mehr Rückversuche an mehr Instrumenten und längere Zeitrahmen zur Verbesserung der Stabilität.

Schlussfolgerung

Zusammenfassend ist dies eine insgesamt stabile, genaue und leicht optimierbare quantitative Handelsstrategie. Sie erzeugt Handelssignale, indem sie doppelte Trendfilter und mehrere Hilfsfilter kombiniert, das meiste Rauschen filtert und zuverlässigere Signale erzeugt. Außerdem hilft die eingebaute Stop-Loss- und Take-Profit-Vorstellung, Handelsrisiken zu senken. Dies ist eine Strategie mit großem praktischen Wert. Nach Optimierung und Validierung kann sie direkt für den Live-Handel angewendet werden. Darüber hinaus hat sie ein enormes Potenzial für Expansionen und lohnt sich eine eingehende Untersuchung.

/*backtest
start: 2023-01-01 00:00:00
end: 2023-12-25 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/


//@version=4

strategy(title = 'Cipher_B', overlay=true )

// PARAMETERS {

// WaveTrend
wtShow = input(true, title = 'Show WaveTrend', type = input.bool)
wtBuyShow = input(true, title = 'Show Buy dots', type = input.bool)
wtGoldShow = input(true, title = 'Show Gold dots', type = input.bool)
wtSellShow = input(true, title = 'Show Sell dots', type = input.bool)
wtDivShow = input(true, title = 'Show Div. dots', type = input.bool)
vwapShow = input(true, title = 'Show Fast WT', type = input.bool)
wtChannelLen = input(9, title = 'WT Channel Length', type = input.integer)
wtAverageLen = input(12, title = 'WT Average Length', type = input.integer)
wtMASource = input(hlc3, title = 'WT MA Source', type = input.source)
wtMALen = input(3, title = 'WT MA Length', type = input.integer)

// WaveTrend Overbought & Oversold lines
obLevel = input(53, title = 'WT Overbought Level 1', type = input.integer)
obLevel2 = input(60, title = 'WT Overbought Level 2', type = input.integer)
obLevel3 = input(100, title = 'WT Overbought Level 3', type = input.integer)
osLevel = input(-53, title = 'WT Oversold Level 1', type = input.integer)
osLevel2 = input(-60, title = 'WT Oversold Level 2', type = input.integer)
osLevel3 = input(-75, title = 'WT Oversold Level 3', type = input.integer)

// Divergence WT
wtShowDiv = input(true, title = 'Show WT Regular Divergences', type = input.bool)
wtShowHiddenDiv = input(false, title = 'Show WT Hidden Divergences', type = input.bool)
showHiddenDiv_nl = input(true, title = 'Not apply OB/OS Limits on Hidden Divergences', type = input.bool)
wtDivOBLevel = input(45, title = 'WT Bearish Divergence min', type = input.integer)
wtDivOSLevel = input(-65, title = 'WT Bullish Divergence min', type = input.integer)

// Divergence extra range
wtDivOBLevel_addshow = input(false, title = 'Show 2nd WT Regular Divergences', type = input.bool)
wtDivOBLevel_add = input(15, title = 'WT 2nd Bearish Divergence', type = input.integer)
wtDivOSLevel_add = input(-40, title = 'WT 2nd Bullish Divergence 15 min', type = input.integer)

// RSI+MFI
rsiMFIShow = input(true, title = 'Show MFI', type = input.bool)
rsiMFIperiod = input(60,title = 'MFI Period', type = input.integer)
rsiMFIMultiplier = input(150, title = 'MFI Area multiplier', type = input.float)
rsiMFIPosY = input(2.5, title = 'MFI Area Y Pos', type = input.float)

// RSI
rsiShow = input(false, title = 'Show RSI', type = input.bool)
rsiSRC = input(close, title = 'RSI Source', type = input.source)
rsiLen = input(14, title = 'RSI Length', type = input.integer)
rsiOversold = input(30, title = 'RSI Oversold', minval = 50, maxval = 100, type = input.integer)
rsiOverbought = input(60, title = 'RSI Overbought', minval = 0, maxval = 50, type = input.integer)

// Divergence RSI
rsiShowDiv = input(false, title = 'Show RSI Regular Divergences', type = input.bool)
rsiShowHiddenDiv = input(false, title = 'Show RSI Hidden Divergences', type = input.bool)
rsiDivOBLevel = input(60, title = 'RSI Bearish Divergence min', type = input.integer)
rsiDivOSLevel = input(30, title = 'RSI Bullish Divergence min', type = input.integer)

// RSI Stochastic
stochShow = input(true, title = 'Show Stochastic RSI', type = input.bool)
stochUseLog = input(true, title=' Use Log?', type = input.bool)
stochAvg = input(false, title='Use Average of both K & D', type = input.bool)
stochSRC = input(close, title = 'Stochastic RSI Source', type = input.source)
stochLen = input(14, title = 'Stochastic RSI Length', type = input.integer)
stochRsiLen = input(14, title = 'RSI Length ', type = input.integer)
stochKSmooth = input(3, title = 'Stochastic RSI K Smooth', type = input.integer)
stochDSmooth = input(3, title = 'Stochastic RSI D Smooth', type = input.integer)

// Divergence stoch
stochShowDiv = input(false, title = 'Show Stoch Regular Divergences', type = input.bool)
stochShowHiddenDiv = input(false, title = 'Show Stoch Hidden Divergences', type = input.bool)

// Schaff Trend Cycle
tcLine = input(false, title="Show Schaff TC line", type=input.bool)
tcSRC = input(close, title = 'Schaff TC Source', type = input.source)
tclength = input(10, title="Schaff TC", type=input.integer)
tcfastLength = input(23, title="Schaff TC Fast Lenght", type=input.integer)
tcslowLength = input(50, title="Schaff TC Slow Length", type=input.integer)
tcfactor = input(0.5, title="Schaff TC Factor", type=input.float)

// Sommi Flag
sommiFlagShow = input(false, title = 'Show Sommi flag', type = input.bool)
sommiShowVwap = input(false, title = 'Show Sommi F. Wave', type = input.bool)
sommiVwapTF = input('720', title = 'Sommi F. Wave timeframe', type = input.string)
sommiVwapBearLevel = input(0, title = 'F. Wave Bear Level (less than)', type = input.integer)
sommiVwapBullLevel = input(0, title = 'F. Wave Bull Level (more than)', type = input.integer)
soomiFlagWTBearLevel = input(0, title = 'WT Bear Level (more than)', type = input.integer) 
soomiFlagWTBullLevel = input(0, title = 'WT Bull Level (less than)', type = input.integer) 
soomiRSIMFIBearLevel = input(0, title = 'Money flow Bear Level (less than)', type = input.integer) 
soomiRSIMFIBullLevel = input(0, title = 'Money flow Bull Level (more than)', type = input.integer) 

// Sommi Diamond
sommiDiamondShow = input(false, title = 'Show Sommi diamond', type = input.bool)
sommiHTCRes = input('60', title = 'HTF Candle Res. 1', type = input.string)
sommiHTCRes2 = input('240', title = 'HTF Candle Res. 2', type = input.string)
soomiDiamondWTBearLevel = input(0, title = 'WT Bear Level (More than)', type = input.integer)
soomiDiamondWTBullLevel = input(0, title = 'WT Bull Level (Less than)', type = input.integer)

// macd Colors
macdWTColorsShow = input(false, title = 'Show MACD Colors', type = input.bool)
macdWTColorsTF = input('240', title = 'MACD Colors MACD TF', type = input.string)

darkMode = input(false, title = 'Dark mode', type = input.bool)


// Colors
colorRed = #ff0000
colorPurple = #e600e6
colorGreen = #3fff00
colorOrange = #e2a400
colorYellow = #ffe500
colorWhite = #ffffff
colorPink = #ff00f0
colorBluelight = #31c0ff

colorWT1 = #90caf9
colorWT2 = #0d47a1

colorWT2_ = #131722

colormacdWT1a = #4caf58
colormacdWT1b = #af4c4c
colormacdWT1c = #7ee57e
colormacdWT1d = #ff3535

colormacdWT2a = #305630
colormacdWT2b = #310101
colormacdWT2c = #132213
colormacdWT2d = #770000

// } PARAMETERS


// FUNCTIONS {
  
// Divergences 
f_top_fractal(src) => src[4] < src[2] and src[3] < src[2] and src[2] > src[1] and src[2] > src[0]
f_bot_fractal(src) => src[4] > src[2] and src[3] > src[2] and src[2] < src[1] and src[2] < src[0]
f_fractalize(src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0

f_findDivs(src, topLimit, botLimit, useLimits) =>
    fractalTop = f_fractalize(src) > 0 and (useLimits ? src[2] >= topLimit : true) ? src[2] : na
    fractalBot = f_fractalize(src) < 0 and (useLimits ? src[2] <= botLimit : true) ? src[2] : na
    highPrev = valuewhen(fractalTop, src[2], 0)[2]
    highPrice = valuewhen(fractalTop, high[2], 0)[2]
    lowPrev = valuewhen(fractalBot, src[2], 0)[2]
    lowPrice = valuewhen(fractalBot, low[2], 0)[2]
    bearSignal = fractalTop and high[2] > highPrice and src[2] < highPrev
    bullSignal = fractalBot and low[2] < lowPrice and src[2] > lowPrev
    bearDivHidden = fractalTop and high[2] < highPrice and src[2] > highPrev
    bullDivHidden = fractalBot and low[2] > lowPrice and src[2] < lowPrev
    [fractalTop, fractalBot, lowPrev, bearSignal, bullSignal, bearDivHidden, bullDivHidden]
        
// RSI+MFI
f_rsimfi(_period, _multiplier, _tf) => security(syminfo.tickerid, _tf, sma(((close - open) / (high - low)) * _multiplier, _period) - rsiMFIPosY)
   
// WaveTrend
f_wavetrend(src, chlen, avg, malen, tf) =>
    tfsrc = security(syminfo.tickerid, tf, src)
    esa = ema(tfsrc, chlen)
    de = ema(abs(tfsrc - esa), chlen)
    ci = (tfsrc - esa) / (0.015 * de)
    wt1 = security(syminfo.tickerid, tf, ema(ci, avg))
    wt2 = security(syminfo.tickerid, tf, sma(wt1, malen))
    wtVwap = wt1 - wt2
    wtOversold = wt2 <= osLevel
    wtOverbought = wt2 >= obLevel
    wtCross = cross(wt1, wt2)
    wtCrossUp = wt2 - wt1 <= 0
    wtCrossDown = wt2 - wt1 >= 0
    wtCrosslast = cross(wt1[2], wt2[2])
    wtCrossUplast = wt2[2] - wt1[2] <= 0
    wtCrossDownlast = wt2[2] - wt1[2] >= 0
    [wt1, wt2, wtOversold, wtOverbought, wtCross, wtCrossUp, wtCrossDown, wtCrosslast, wtCrossUplast, wtCrossDownlast, wtVwap]

// Schaff Trend Cycle
f_tc(src, length, fastLength, slowLength) =>
    ema1 = ema(src, fastLength)
    ema2 = ema(src, slowLength)
    macdVal = ema1 - ema2	
    alpha = lowest(macdVal, length)
    beta = highest(macdVal, length) - alpha
    gamma = (macdVal - alpha) / beta * 100
    gamma := beta > 0 ? gamma : nz(gamma[1])
    delta = gamma
    delta := na(delta[1]) ? delta : delta[1] + tcfactor * (gamma - delta[1])
    epsilon = lowest(delta, length)
    zeta = highest(delta, length) - epsilon
    eta = (delta - epsilon) / zeta * 100
    eta := zeta > 0 ? eta : nz(eta[1])
    stcReturn = eta
    stcReturn := na(stcReturn[1]) ? stcReturn : stcReturn[1] + tcfactor * (eta - stcReturn[1])
    stcReturn

// Stochastic RSI
f_stochrsi(_src, _stochlen, _rsilen, _smoothk, _smoothd, _log, _avg) =>
    src = _log ? log(_src) : _src
    rsi = rsi(src, _rsilen)
    kk = sma(stoch(rsi, rsi, rsi, _stochlen), _smoothk)
    d1 = sma(kk, _smoothd)
    avg_1 = avg(kk, d1)
    k = _avg ? avg_1 : kk
    [k, d1]

// MACD
f_macd(src, fastlen, slowlen, sigsmooth, tf) =>
    fast_ma = security(syminfo.tickerid, tf, ema(src, fastlen))
    slow_ma = security(syminfo.tickerid, tf, ema(src, slowlen))
    macd = fast_ma - slow_ma,
    signal = security(syminfo.tickerid, tf, sma(macd, sigsmooth))
    hist = macd - signal
    [macd, signal, hist]
// MACD Colors on WT    
f_macdWTColors(tf) =>
    hrsimfi = f_rsimfi(rsiMFIperiod, rsiMFIMultiplier, tf)
    [macd, signal, hist] = f_macd(close, 28, 42, 9, macdWTColorsTF)
    macdup = macd >= signal
    macddown = macd <= signal
    macdWT1Color = macdup ? hrsimfi > 0 ? colormacdWT1c : colormacdWT1a : macddown ? hrsimfi < 0 ? colormacdWT1d : colormacdWT1b : na
    macdWT2Color = macdup ? hrsimfi < 0 ? colormacdWT2c : colormacdWT2a : macddown ? hrsimfi < 0 ? colormacdWT2d : colormacdWT2b : na 
    [macdWT1Color, macdWT2Color]
    
// Get higher timeframe candle
f_getTFCandle(_tf) => 
    _open  = security(heikinashi(syminfo.tickerid), _tf, open, barmerge.gaps_off, barmerge.lookahead_off)
    _close = security(heikinashi(syminfo.tickerid), _tf, close, barmerge.gaps_off, barmerge.lookahead_off)
    _high  = security(heikinashi(syminfo.tickerid), _tf, high, barmerge.gaps_off, barmerge.lookahead_off)
    _low   = security(heikinashi(syminfo.tickerid), _tf, low, barmerge.gaps_off, barmerge.lookahead_off)
    hl2   = (_high + _low) / 2.0
    newBar = change(_open)
    candleBodyDir = _close > _open
    [candleBodyDir, newBar]

// Sommi flag
f_findSommiFlag(tf, wt1, wt2, rsimfi, wtCross, wtCrossUp, wtCrossDown) =>    
    [hwt1, hwt2, hwtOversold, hwtOverbought, hwtCross, hwtCrossUp, hwtCrossDown, hwtCrosslast, hwtCrossUplast, hwtCrossDownlast, hwtVwap] = f_wavetrend(wtMASource, wtChannelLen, wtAverageLen, wtMALen, tf)      
    
    bearPattern = rsimfi < soomiRSIMFIBearLevel and
                   wt2 > soomiFlagWTBearLevel and 
                   wtCross and 
                   wtCrossDown and 
                   hwtVwap < sommiVwapBearLevel
                   
    bullPattern = rsimfi > soomiRSIMFIBullLevel and 
                   wt2 < soomiFlagWTBullLevel and 
                   wtCross and 
                   wtCrossUp and 
                   hwtVwap > sommiVwapBullLevel
    
    [bearPattern, bullPattern, hwtVwap]
    
f_findSommiDiamond(tf, tf2, wt1, wt2, wtCross, wtCrossUp, wtCrossDown) =>
    [candleBodyDir, newBar] = f_getTFCandle(tf)
    [candleBodyDir2, newBar2] = f_getTFCandle(tf2)
    bearPattern = wt2 >= soomiDiamondWTBearLevel and
                   wtCross and
                   wtCrossDown and
                   not candleBodyDir and
                   not candleBodyDir2                   
    bullPattern = wt2 <= soomiDiamondWTBullLevel and
                   wtCross and
                   wtCrossUp and
                   candleBodyDir and
                   candleBodyDir2 
    [bearPattern, bullPattern]
 
// } FUNCTIONS  

// CALCULATE INDICATORS {

// RSI
rsi = rsi(rsiSRC, rsiLen)
rsiColor = rsi <= rsiOversold ? colorGreen : rsi >= rsiOverbought ? colorRed : colorPurple

// RSI + MFI Area
rsiMFI = f_rsimfi(rsiMFIperiod, rsiMFIMultiplier, timeframe.period)
rsiMFIColor = rsiMFI > 0 ? #3ee145 : #ff3d2e

// Calculates WaveTrend
[wt1, wt2, wtOversold, wtOverbought, wtCross, wtCrossUp, wtCrossDown, wtCross_last, wtCrossUp_last, wtCrossDown_last, wtVwap] = f_wavetrend(wtMASource, wtChannelLen, wtAverageLen, wtMALen, timeframe.period)
 
// Stochastic RSI
[stochK, stochD] = f_stochrsi(stochSRC, stochLen, stochRsiLen, stochKSmooth, stochDSmooth, stochUseLog, stochAvg)

// Schaff Trend Cycle
tcVal = f_tc(tcSRC, tclength, tcfastLength, tcslowLength)

// Sommi flag
[sommiBearish, sommiBullish, hvwap] = f_findSommiFlag(sommiVwapTF, wt1, wt2, rsiMFI, wtCross,  wtCrossUp, wtCrossDown)

//Sommi diamond
[sommiBearishDiamond, sommiBullishDiamond] = f_findSommiDiamond(sommiHTCRes, sommiHTCRes2, wt1, wt2, wtCross, wtCrossUp, wtCrossDown)

// macd colors
[macdWT1Color, macdWT2Color] = f_macdWTColors(macdWTColorsTF)

// WT Divergences
[wtFractalTop, wtFractalBot, wtLow_prev, wtBearDiv, wtBullDiv, wtBearDivHidden, wtBullDivHidden] = f_findDivs(wt2, wtDivOBLevel, wtDivOSLevel, true)
    
[wtFractalTop_add, wtFractalBot_add, wtLow_prev_add, wtBearDiv_add, wtBullDiv_add, wtBearDivHidden_add, wtBullDivHidden_add] =  f_findDivs(wt2, wtDivOBLevel_add, wtDivOSLevel_add, true)
[wtFractalTop_nl, wtFractalBot_nl, wtLow_prev_nl, wtBearDiv_nl, wtBullDiv_nl, wtBearDivHidden_nl, wtBullDivHidden_nl] =  f_findDivs(wt2, 0, 0, false)

wtBearDivHidden_ = showHiddenDiv_nl ? wtBearDivHidden_nl : wtBearDivHidden
wtBullDivHidden_ = showHiddenDiv_nl ? wtBullDivHidden_nl : wtBullDivHidden

wtBearDivColor = (wtShowDiv and wtBearDiv) or (wtShowHiddenDiv and wtBearDivHidden_) ? colorRed : na
wtBullDivColor = (wtShowDiv and wtBullDiv) or (wtShowHiddenDiv and wtBullDivHidden_) ? colorGreen : na

wtBearDivColor_add = (wtShowDiv and (wtDivOBLevel_addshow and wtBearDiv_add)) or (wtShowHiddenDiv and (wtDivOBLevel_addshow and wtBearDivHidden_add)) ? #9a0202 : na
wtBullDivColor_add = (wtShowDiv and (wtDivOBLevel_addshow and wtBullDiv_add)) or (wtShowHiddenDiv and (wtDivOBLevel_addshow and wtBullDivHidden_add)) ? #1b5e20 : na

// RSI Divergences
[rsiFractalTop, rsiFractalBot, rsiLow_prev, rsiBearDiv, rsiBullDiv, rsiBearDivHidden, rsiBullDivHidden] = f_findDivs(rsi, rsiDivOBLevel, rsiDivOSLevel, true)
[rsiFractalTop_nl, rsiFractalBot_nl, rsiLow_prev_nl, rsiBearDiv_nl, rsiBullDiv_nl, rsiBearDivHidden_nl, rsiBullDivHidden_nl] = f_findDivs(rsi, 0, 0, false)

rsiBearDivHidden_ = showHiddenDiv_nl ? rsiBearDivHidden_nl : rsiBearDivHidden
rsiBullDivHidden_ = showHiddenDiv_nl ? rsiBullDivHidden_nl : rsiBullDivHidden

rsiBearDivColor = (rsiShowDiv and rsiBearDiv) or (rsiShowHiddenDiv and rsiBearDivHidden_) ? colorRed : na
rsiBullDivColor = (rsiShowDiv and rsiBullDiv) or (rsiShowHiddenDiv and rsiBullDivHidden_) ? colorGreen : na
 
// Stoch Divergences
[stochFractalTop, stochFractalBot, stochLow_prev, stochBearDiv, stochBullDiv, stochBearDivHidden, stochBullDivHidden] = f_findDivs(stochK, 0, 0, false)

stochBearDivColor = (stochShowDiv and stochBearDiv) or (stochShowHiddenDiv and stochBearDivHidden) ? colorRed : na
stochBullDivColor = (stochShowDiv and stochBullDiv) or (stochShowHiddenDiv and stochBullDivHidden) ? colorGreen : na


// Small Circles WT Cross
signalColor = wt2 - wt1 > 0 ? color.red : color.lime

// Buy signal.
buySignal = wtCross and wtCrossUp and wtOversold

buySignalDiv = (wtShowDiv and wtBullDiv) or 
               (wtShowDiv and wtBullDiv_add) or 
               (stochShowDiv and stochBullDiv) or 
               (rsiShowDiv and rsiBullDiv)
    
buySignalDiv_color = wtBullDiv ? colorGreen : 
                     wtBullDiv_add ? color.new(colorGreen, 60) : 
                     rsiShowDiv ? colorGreen : na

// Sell signal
sellSignal = wtCross and wtCrossDown and wtOverbought
             
sellSignalDiv = (wtShowDiv and wtBearDiv) or 
               (wtShowDiv and wtBearDiv_add) or
               (stochShowDiv and stochBearDiv) or
               (rsiShowDiv and rsiBearDiv)
                    
sellSignalDiv_color = wtBearDiv ? colorRed : 
                     wtBearDiv_add ? color.new(colorRed, 60) : 
                     rsiBearDiv ? colorRed : na

// Gold Buy 
lastRsi = valuewhen(wtFractalBot, rsi[2], 0)[2]
wtGoldBuy = ((wtShowDiv and wtBullDiv) or (rsiShowDiv and rsiBullDiv)) and
           wtLow_prev <= osLevel3 and
           wt2 > osLevel3 and
           wtLow_prev - wt2 <= -5 and
           lastRsi < 30           
          
// } CALCULATE INDICATORS


// DRAW {
bgcolor(darkMode ? color.new(#000000, 80) : na)
zLine = plot(0, color = color.new(colorWhite, 50))

//  MFI BAR 
rsiMfiBarTopLine = plot(rsiMFIShow ? -95 : na, title = 'MFI Bar TOP Line', transp = 100)
rsiMfiBarBottomLine = plot(rsiMFIShow ? -99 : na, title = 'MFI Bar BOTTOM Line', transp = 100)
fill(rsiMfiBarTopLine, rsiMfiBarBottomLine, title = 'MFI Bar Colors', color = rsiMFIColor, transp = 75)

Global=input(title="Use Global trend?", defval=true, type=input.bool,  group="Trend Settings")
regimeFilter_frame=input(title="Global trend timeframe", defval="5", options=['D','60','5'],  group="Trend Settings")
regimeFilter_length=input(title="Global trend length", defval=1700, type=input.integer,  group="Trend Settings")
localFilter_length=input(title="Local trend filter length", defval=20, type=input.integer,  group="Trend Settings")
localFilter_frame=input(title="Local trend filter timeframe", defval="60", options=['D','60', '5'],  group="Trend Settings")

Div_1=input(title="Only divergencies for long", defval=true, type=input.bool,  group="Trend Settings")
Div_2=input(title="Only divergencies for short", defval=true, type=input.bool,  group="Trend Settings")

sommi_diamond_on=input(title="Sommi diamond alerts", defval=false, type=input.bool,  group="Trend Settings")

Cancel_all=input(title="Cancel all positions if price crosses local sma? (yellow line)", defval=false, type=input.bool,  group="Trend Settings")

a_1=input(title="TP long", defval=0.95,step=0.5, type=input.float,  group="TP/SL Settings")

a_1_div=input(title="TP long div", defval=0.95,step=0.5, type=input.float,  group="TP/SL Settings")

a_2=input(title="TP short", defval=0.95,step=1, type=input.float,  group="TP/SL Settings")

b_1=input(title="SL long", defval=5,step=0.1, type=input.float,  group="TP/SL Settings")
b_2=input(title="SL short", defval=5,step=0.1, type=input.float,  group="TP/SL Settings")

RSI_filter_checkbox = input(title="RSI filter ON", defval=false, type=input.bool,  group="Trend Settings")
Price_filter_checkbox=input(title="Price filter ON", defval=false, type=input.bool,  group="Trend Settings")
Price_filter_1_long=input(title="Long Price filter from", defval=1000, type=input.integer,  group="Trend Settings")
Price_filter_2_long=input(title="Long Price filter to", defval=1200, type=input.integer,  group="Trend Settings")

Price_filter_1_short=input(title="Short Price filter from", defval=1000, type=input.integer,  group="Trend Settings")
Price_filter_2_short=input(title="Short Price filter to", defval=1200, type=input.integer,  group="Trend Settings")

Local_filter_checkbox=input(title="Use Local trend?", defval=true, type=input.bool,  group="Trend Settings")

slope_checkbox = input(title="Use Slope filter?", defval=false, type=input.bool,  group="Slope Settings")
slope_number_long = input(title="Slope number long", defval=-0.3,step=0.01, type=input.float,  group="Slope Settings")
slope_number_short = input(title="Slope number short", defval=0.16,step=0.01, type=input.float,  group="Slope Settings")
slope_period = input(title="Slope period", defval=300, type=input.integer,  group="Slope Settings")

long_on = input(title="Only long?", defval=true, type=input.bool,  group="Position Settings")
short_on = input(title="Only short?", defval=true, type=input.bool,  group="Position Settings")

volume_ETH_spot_checkbox = input(title="Volume filter?", defval=false, type=input.bool,  group="Volume Settings")
volume_ETH_spot_number_more = input(title="Volume no more than:", defval=3700, type=input.integer,  group="Volume Settings")
volume_ETH_spot_number_less = input(title="Volume no less than:", defval=600, type=input.integer,  group="Volume Settings")

limit_checkbox = input(title="Shift open position?", defval=false, type=input.bool,  group="Shift Settings")
limit_shift = input(title="How many % to shift?", defval=0.5,step=0.01, type=input.float,  group="Shift Settings")

cancel_in =  input(title="Cancel position in #bars?", defval=false, type=input.bool,  group="Cancel Settings")
cancel_in_num =  input(title="Number of bars", defval=96, type=input.integer,  group="Cancel Settings")
//Name of ticker
_str=tostring(syminfo.ticker)
_chars = str.split(_str, "")
int _len = array.size(_chars)
int _beg = max(0, _len - 4)
string[] _substr = array.new_string(0)
if _beg < _len
    _substr := array.slice(_chars, 0, _beg)
string _return = array.join(_substr, "")

//Hour sma
basis = security(syminfo.tickerid, localFilter_frame, ema(close, localFilter_length))
plot(basis, title="Local trend curve", color=color.yellow, style=plot.style_linebr)

//Trend calculation with EMA
f_sec(_market, _res, _exp) => security(_market, _res, _exp[barstate.isconfirmed ? 0 : 1])
ema = sma(close, regimeFilter_length) 
emaValue = f_sec("BTC_USDT:swap", regimeFilter_frame, ema)
marketPrice = f_sec("BTC_USDT:swap", regimeFilter_frame, close)
regimeFilter = Global?(marketPrice > emaValue or marketPrice[1] > emaValue[1]):true
reverse_regime=Global?(marketPrice < emaValue or marketPrice[1] < emaValue[1]):true
bgcolor(Global?regimeFilter ? color.green : color.red:color.yellow)

//Local trend
regimeFilter_local = Local_filter_checkbox ? close > basis: true //or close[1] > basis[1]
reverse_regime_local = Local_filter_checkbox ? close < basis: true //or close[1] < basis[1]

//RSI filter
up = rma(max(change(close), 0), 14)
down = rma(-min(change(close), 0), 14)
rsi_ = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiMA = ema(rsi_,12)

//local incline

sma =security(syminfo.tickerid, '60', ema(close, 15))
slope = (sma - sma[slope_period]) / slope_period
slope_filter_long = slope_checkbox? slope > slope_number_long : true
slope_filter_short = slope_checkbox? slope < slope_number_short : true


var long_check = true
var short_check = true
if RSI_filter_checkbox
    long_check:= rsiMA<40
    short_check:= rsiMA>60
//
validlow  =  Div_1 ? buySignalDiv or wtGoldBuy  :  buySignal or buySignalDiv or wtGoldBuy 
validhigh =   Div_2 ? sellSignalDiv  :  sellSignal or sellSignalDiv

//check volume of ETHUSDT
volume_ETH_spot = volume
volume_ETH_spot_filter = volume_ETH_spot_checkbox? volume_ETH_spot < volume_ETH_spot_number_more and volume_ETH_spot > volume_ETH_spot_number_less : true

// Check if we have confirmation for our setup
var Price_long = true
if Price_filter_checkbox
    Price_long:=close>Price_filter_1_long and close<Price_filter_2_long

var Price_short = true
if Price_filter_checkbox
    Price_short:=close>Price_filter_1_short and close<Price_filter_2_short


validlong = sommi_diamond_on  ? sommiBullishDiamond and strategy.position_size == 0 and barstate.isconfirmed and regimeFilter_local and regimeFilter  :  validlow and strategy.position_size == 0 and barstate.isconfirmed and regimeFilter_local and Price_long and long_check and slope_filter_long and volume_ETH_spot_filter
validshort = sommi_diamond_on ? sommiBearishDiamond and strategy.position_size == 0 and barstate.isconfirmed and reverse_regime_local and reverse_regime  :  validhigh and strategy.position_size == 0 and barstate.isconfirmed and reverse_regime_local and Price_short and short_check and slope_filter_short and volume_ETH_spot_filter


// Save trade stop & target & position size if a valid setup is detected
var tradeStopPrice = 0.0
var tradeTargetPrice = 0.0
var TP=0.0
var limit_price=0.0
//Detect valid long setups & trigger alert
if validlong 
    if buySignalDiv or wtGoldBuy
        limit_price:=limit_checkbox? close*(1-limit_shift*0.01) : close
        tradeStopPrice :=  limit_price*(1-b_1*0.01)
        tradeTargetPrice := limit_price*(1+a_1_div*0.01)
        TP:= a_1_div
    
    else
        limit_price:=limit_checkbox? close*(1-limit_shift*0.01) : close
        tradeStopPrice :=  limit_price*(1-b_1*0.01)
        tradeTargetPrice := limit_price*(1+a_1*0.01)
        TP:= a_1

// if validlong 
//     if buySignalDiv or wtGoldBuy
//         limit_price:=close 
//         tradeStopPrice :=  limit_price*(1-b_1*0.01)
//         tradeTargetPrice := limit_price*(1+a_1_div*0.01)
//         TP:= a_1_div
    
//     else
//         limit_price:=close
//         tradeStopPrice :=  limit_price*(1-b_1*0.01)
//         tradeTargetPrice := limit_price*(1+a_1*0.01)
//         TP:= a_1
// Detect valid short setups & trigger alert
if validshort 
    limit_price:=limit_checkbox? close*(1+limit_shift*0.01) : close
    tradeStopPrice :=  limit_price*(1+b_2*0.01)
    tradeTargetPrice  := limit_price*(1-a_2*0.01)
    TP:= a_2

// if validshort 
//     limit_price:= close
//     tradeStopPrice :=  limit_price*(1+b_2*0.01)
//     tradeTargetPrice  := limit_price*(1-a_2*0.01)
//     TP:= a_2

if cancel_in and barssince(validlong) == cancel_in_num or barssince(validshort) == cancel_in_num
    strategy.cancel_all()
if long_on 
    strategy.entry (id="Long", long=strategy.long, limit=limit_price, when=validlong, comment='{\n'    + '  "name": "",\n'    + '  "secret": "",\n'    + '  "side": "buy",\n'    + '  "symbol": '+'"'+_return+'"'+',\n'    + '  "positionSide": "long"\n'    + '}')
if short_on
    strategy.entry (id="Short", long=strategy.short, limit=limit_price, when=validshort,comment='{\n'    + '  "name": "",\n'    + '  "secret": "",\n'    + '  "side": "sell",\n'    + '  "symbol": '+'"'+_return+'"'+',\n'    + '  "positionSide": "short",\n'    + '  "sl": {\n'    + '    "enabled": true\n'    + '  }\n'    + '}')
//    condition:=true
// if Cancel_all and strategy.position_size > 0 and (reverse_regime_local or reverse_regime)
//     strategy.close_all(when=strategy.position_size != 0, comment='{\n'     + '  "name": "",\n'     + '  "secret": "",\n'     + '  "side": "sell",\n'     + '  "symbol": '+'"'+_return+'"'+',\n'     + '  "positionSide": "flat"\n'     + '}')




if Cancel_all and strategy.position_size > 0 and reverse_regime_local
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "sell",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')

if Cancel_all and strategy.position_size < 0 and regimeFilter_local
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "buy",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')
     
if cancel_in and strategy.position_size > 0 and barssince(validlong) > cancel_in_num
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "sell",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')

if cancel_in and strategy.position_size < 0 and barssince(validshort) > cancel_in_num
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "buy",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')

// Exit trades whenever our stop or target is hit
strategy.exit(id="Long Exit", from_entry="Long", limit=tradeTargetPrice, stop=tradeStopPrice, when=strategy.position_size > 0)
strategy.exit(id="Short Exit", from_entry="Short", limit=tradeTargetPrice,stop=tradeStopPrice, when=strategy.position_size < 0)
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