O objetivo desta estratégia é equilibrar a psicologia e o desempenho dos traders através do ajuste de vários parâmetros, a fim de obter retornos mais constantes. Ele usa indicadores como médias móveis, Bandas de Bollinger e Canais de Keltner para determinar tendências e volatilidade do mercado, juntamente com o indicador PSAR para identificar sinais de reversão. O indicador TTM Squeeze é alavancado para medir o impulso. Os sinais de negociação são gerados através da combinação desses indicadores.
A lógica central desta estratégia é a seguinte:
Os preços acima da EMA indicam tendências ascendentes, enquanto os preços abaixo da EMA indicam tendências descendentes.
Identificar reversões: o indicador PSAR identifica pontos de reversão dos preços.
O indicador TTM Squeeze mede a volatilidade e o impulso do mercado. Ele compara as Bandas de Bollinger e os Canais de Keltner para quantificar compressões e aumentos de volatilidade.
Gerar sinais de negociação: os sinais longos são acionados quando os preços cruzam acima da linha EMA e dos pontos PSAR, acompanhados por uma libertação do TTM Squeeze. Os sinais curtos ocorrem quando os preços cruzam abaixo da EMA e do PSAR, juntamente com um acionamento do TTM Squeeze.
Método de stop loss: as bases de alto-baixo stop loss para os níveis de stop em preços altos/baixos recentes multiplicados por um fator definido.
Método de captação de lucro: o método de captação de lucro risco-recompensa calcula automaticamente as metas de lucro com base na distância de stop loss dos preços correntes multiplicada por um rácio risco-recompensa pré-estabelecido.
Os vários parâmetros permitem que os traders equilibrem a psicologia controlando a frequência de negociação, o tamanho da posição, os níveis de stop loss e os pontos de lucro.
As principais vertentes desta estratégia incluem:
Maior precisão do sinal devido ao consenso de vários indicadores
Principalmente focada na reversão, reduz a probabilidade de falhas de fuga
TTM Métodos de consolidação para evitar operações ineficazes
Simples e ajustáveis perdas de paragem de alto-baixo
Risco-recompensa tomar lucro quantifica relação de lucro para fácil ajuste
Parâmetros flexíveis para corresponder às preferências pessoais de risco
Os riscos da estratégia consistem em:
Aumentar a probabilidade de falharem sinais de entrada de vários indicadores
Baixo desempenho em mercados em tendência persistente
O montante das posições em risco ponderadas em conformidade com o artigo 246.o, n.o 1, alínea a), do CRR
Invalidação potencial das saídas de risco-recompensa por flutuações de preços
Ajuste inadequado dos parâmetros pode levar a perdas ou exceder o limite
As áreas de melhoria incluem:
Adicionar ou ajustar pesos de indicador para maior precisão do sinal
Otimizar os parâmetros de inversão e tendência para melhor captura de lucros
Refinar níveis de perda de parada de alta-baixa para maximizar a eficácia
Teste diferentes rácios risco-recompensa para obter resultados ideais
Ajustar o dimensionamento das posições para minimizar os impactos das perdas de uma única operação
Em resumo, através de combinações de indicadores e configurações ajustáveis, esta estratégia é capaz de equilibrar a psicologia de negociação e garantir resultados positivos constantes.
/*backtest start: 2024-01-01 00:00:00 end: 2024-01-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © simwai strategy('Octopus Nest Strategy 🐙', shorttitle='🐙', overlay=true ) // -- Colors -- color maximumYellowRed = color.rgb(255, 203, 98) // yellow color rajah = color.rgb(242, 166, 84) // orange color magicMint = color.rgb(171, 237, 198) color languidLavender = color.rgb(232, 215, 255) color maximumBluePurple = color.rgb(181, 161, 226) color skyBlue = color.rgb(144, 226, 244) color lightGray = color.rgb(214, 214, 214) color quickSilver = color.rgb(163, 163, 163) color mediumAquamarine = color.rgb(104, 223, 153) color carrotOrange = color.rgb(239, 146, 46) // -- Inputs -- float src = input.source(close, 'Choose Source', group='General', inline='1') bool isSignalLabelEnabled = input.bool(title='Show Signal Labels?', defval=true, group='General', inline='2') bool isPsarAdaptive = input.bool(title='Is PSAR Adaptive?', defval=false, group='General', inline='2') float highLowStopLossMultiplier = input.float(defval=0.98, step=0.01, minval=0, maxval=1, title='Multiplier', group='High Low Stop Loss', inline='1') float highLowStopLossBackupMultiplier = input.float(defval=0.98, step=0.01, minval=0, maxval=1, title='Backup Multiplier', group='High Low Stop Loss', inline='1') int highLowStopLossLookback = input.int(defval=20, step=5, minval=1, title='Lookback', group='High Low Stop Loss', inline='2') float automaticHighLowTakeProfitRatio = input.float(defval=1.125, step=0.1, minval=0, title='Risk Reward Ratio', group='Automatic High Low Take Profit', inline='2') int emaLength = input.int(100, minval=2, title='Length', group='EMA', inline='1') int ttmLength = input.int(title='Length', defval=20, minval=0, group='TTM Squeeze', inline='1') float psarStart = input.float(0.02, 'Start', step=0.01, minval=0.0, group='PSAR', inline='1') float psarInc = input.float(0.02, 'Increment', step=0.01, minval=0.01, group='PSAR', inline='1') float psarMax = input.float(0.2, 'Max', step=0.05, minval=0.0, group='PSAR', inline='2') startAFactor = input.float(0.02, 'Starting Acceleration Factor', step = 0.001, group='Adaptive PSAR', inline='1') minStep = input.float(0.0, 'Min Step', step = 0.001, group='Adaptive PSAR', inline='1') maxStep = input.float(0.02, 'Max Step', step = 0.001, group='Adaptive PSAR', inline='2') maxAFactor = input.float(0.2, 'Max Acceleration Factor', step = 0.001, group='Adaptive PSAR', inline='2') hiloMode = input.string('On', 'HiLo Mode', options = ['Off', 'On'], group='Adaptive PSAR') adaptMode = input.string('Kaufman', 'Adaptive Mode', options = ['Off', 'Kaufman', 'Ehlers'], group='Adaptive PSAR') adaptSmth = input.int(5, 'Adaptive Smoothing Period', minval = 1, group='Adaptive PSAR') filt = input.float(0.0, 'Filter in Pips', group='Adaptive PSAR', minval = 0) minChng = input.float(0.0, 'Min Change in Pips', group='Adaptive PSAR', minval = 0) SignalMode = input.string('Only Stops', 'Signal Mode', options = ['Only Stops', 'Signals & Stops'], group='Adaptive PSAR') // -- Functions -- tr(_high, _low, _close) => math.max(_high - _low, math.abs(_high - _close[1]), math.abs(_low - _close[1])) // -- Calculation -- var string lastTrade = 'initial' float _low = low float _high = high float _close = close // -- TTM Squeeze – Credits to @Greeny -- bband(ttmLength, mult) => ta.sma(src, ttmLength) + mult * ta.stdev(src, ttmLength) keltner(ttmLength, mult) => ta.ema(src, ttmLength) + mult * ta.ema(tr(_high, _low, _close), ttmLength) e1 = (ta.highest(_high, ttmLength) + ta.lowest(_low, ttmLength)) / 2 + ta.sma(src, ttmLength) osc = ta.linreg(src - e1 / 2, ttmLength, 0) diff = bband(ttmLength, 2) - keltner(ttmLength, 1) osc_color = osc[1] < osc[0] ? osc[0] >= 0 ? #00ffff : #cc00cc : osc[0] >= 0 ? #009b9b : #ff9bff mid_color = diff >= 0 ? color.green : color.red // -- PSAR -- // Credits to @Bjorgum calcBaseUnit() => bool isForexSymbol = syminfo.type == 'forex' bool isYenPair = syminfo.currency == 'JPY' float result = isForexSymbol ? isYenPair ? 0.01 : 0.0001 : syminfo.mintick // Credits to @loxx _afact(mode,input, per, smooth) => eff = 0., seff = 0. len = 0, sum = 0., max = 0., min = 1000000000. len := mode == 'Kaufman' ? math.ceil(per) : math.ceil(math.max(20, 5 * per)) for i = 0 to len if (mode == 'Kaufman') sum += math.abs(input[i] - input[i + 1]) else max := input[i] > max ? input[i] : max min := input[i] < min ? input[i] : min if (mode == 'Kaufman' and sum != 0) eff := math.abs(input - input[len]) / sum else if (mode == 'Ehlers' and (max - min) > 0) eff := (input - min) / (max - min) seff := ta.ema(eff, smooth) seff hVal2 = nz(high[2]), hVal1 = nz(high[1]), hVal0 = high lowVal2 = nz(low[2]), lowVal1 = nz(low[1]), lowVal0 = low hiprice2 = nz(high[2]), hiprice1 = nz(high[1]), hiprice0 = high loprice2 = nz(low[2]), loprice1 = nz(low[1]), loprice0 = low upSig = 0., dnSig = 0. aFactor = 0., step = 0., trend = 0. upTrndSAR = 0., dnTrndSAR = 0. length = (2 / maxAFactor - 1) if (hiloMode == 'On') hiprice0 := high loprice0 := low else hiprice0 := src loprice0 := hiprice0 if bar_index == 1 trend := 1 hVal1 := hiprice1 hVal0 := math.max(hiprice0, hVal1) lowVal1 := loprice1 lowVal0 := math.min(loprice0, lowVal1) aFactor := startAFactor upTrndSAR := lowVal0 dnTrndSAR := 0. else hVal0 := hVal1 lowVal0 := lowVal1 trend := nz(trend[1]) aFactor := nz(aFactor[1]) inputs = 0. inprice = src if (adaptMode != 'Off') if (hiloMode == 'On') inprice := src else inprice := hiprice0 if (adaptMode == 'Kaufman') inputs := inprice else if (adaptMode == 'Ehlers') if (nz(upTrndSAR[1]) != 0.) inputs := math.abs(inprice - nz(upTrndSAR[1])) else if (nz(dnTrndSAR[1]) != 0.) inputs := math.abs(inprice - nz(dnTrndSAR[1])) step := minStep + _afact(adaptMode, inputs, length, adaptSmth) * (maxStep - minStep) else step := maxStep upTrndSAR := 0., dnTrndSAR := 0., upSig := 0., dnSig := 0. if (nz(trend[1]) > 0) if (nz(trend[1]) == nz(trend[2])) aFactor := hVal1 > hVal2 ? nz(aFactor[1]) + step : aFactor aFactor := aFactor > maxAFactor ? maxAFactor : aFactor aFactor := hVal1 < hVal2 ? startAFactor : aFactor else aFactor := nz(aFactor[1]) upTrndSAR := nz(upTrndSAR[1]) + aFactor * (hVal1 - nz(upTrndSAR[1])) upTrndSAR := upTrndSAR > loprice1 ? loprice1 : upTrndSAR upTrndSAR := upTrndSAR > loprice2 ? loprice2 : upTrndSAR else if (nz(trend[1]) == nz(trend[2])) aFactor := lowVal1 < lowVal2 ? nz(aFactor[1]) + step : aFactor aFactor := aFactor > maxAFactor ? maxAFactor : aFactor aFactor := lowVal1 > lowVal2 ? startAFactor : aFactor else aFactor := nz(aFactor[1]) dnTrndSAR := nz(dnTrndSAR[1]) + aFactor * (lowVal1 - nz(dnTrndSAR[1])) dnTrndSAR := dnTrndSAR < hiprice1 ? hiprice1 : dnTrndSAR dnTrndSAR := dnTrndSAR < hiprice2 ? hiprice2 : dnTrndSAR hVal0 := hiprice0 > hVal0 ? hiprice0 : hVal0 lowVal0 := loprice0 < lowVal0 ? loprice0 : lowVal0 if (minChng > 0) if (upTrndSAR - nz(upTrndSAR[1]) < minChng * calcBaseUnit() and upTrndSAR != 0. and nz(upTrndSAR[1]) != 0.) upTrndSAR := nz(upTrndSAR[1]) if (nz(dnTrndSAR[1]) - dnTrndSAR < minChng * calcBaseUnit() and dnTrndSAR != 0. and nz(dnTrndSAR[1]) != 0.) dnTrndSAR := nz(dnTrndSAR[1]) dnTrndSAR := trend < 0 and dnTrndSAR > nz(dnTrndSAR[1]) ? nz(dnTrndSAR[1]) : dnTrndSAR upTrndSAR := trend > 0 and upTrndSAR < nz(upTrndSAR[1]) ? nz(upTrndSAR[1]) : upTrndSAR if (trend < 0 and hiprice0 >= dnTrndSAR + filt * calcBaseUnit()) trend := 1 upTrndSAR := lowVal0 upSig := SignalMode == 'Signals & Stops' ? lowVal0 : upSig dnTrndSAR := 0. aFactor := startAFactor lowVal0 := loprice0 hVal0 := hiprice0 else if (trend > 0 and loprice0 <= upTrndSAR - filt * calcBaseUnit()) trend := -1 dnTrndSAR := hVal0 dnSig := SignalMode == 'Signals & Stops' ? hVal0 : dnSig upTrndSAR := 0. aFactor := startAFactor lowVal0 := loprice0 hVal0 := hiprice0 psar = upTrndSAR > 0 ? upTrndSAR : dnTrndSAR psar := isPsarAdaptive ? psar : ta.sar(psarStart, psarInc, psarMax) plot(psar, title='PSAR', color=src < psar ? rajah : magicMint, style=plot.style_circles) // -- EMA -- float ema = ta.ema(src, emaLength) plot(ema, title='EMA', color=languidLavender) // -- Signals -- var string isTradeOpen = '' var string signalCache = '' bool enterLong = src > ema and ta.crossover(src, psar) and ta.crossover(osc, 0) bool enterShort = src < ema and ta.crossunder(src, psar) and ta.crossunder(osc, 0) // bool exitLong = ta.crossunder(src, ema) // bool exitShort = ta.crossover(src, ema) if (signalCache == 'long entry') signalCache := '' enterLong := true else if (signalCache == 'short entry') signalCache := '' enterShort := true if (isTradeOpen == '') if (enterLong) isTradeOpen := 'long' else if (enterShort) isTradeOpen := 'short' else if (isTradeOpen == 'long') if (enterLong) enterLong := false else if (isTradeOpen == 'short') if (enterShort) enterShort := false plotshape((isSignalLabelEnabled and enterLong and (isTradeOpen == 'long')) ? psar : na, title='LONG', text='L', style=shape.labelup, color=mediumAquamarine, textcolor=color.white, size=size.tiny, location=location.absolute) plotshape((isSignalLabelEnabled and enterShort and (isTradeOpen == 'short')) ? psar : na, title='SHORT', text='S', style=shape.labeldown, color=carrotOrange, textcolor=color.white, size=size.tiny, location=location.absolute) // -- High Low Stop Loss and Take Profit -- bool isHighLowStopLossEnabled = true bool isAutomaticHighLowTakeProfitEnabled = true bool recalculateStopLossTakeProfit = false bool isStrategyEntryEnabled = false bool isLongEnabled = true bool isShortEnabled = true bool isStopLossTakeProfitRecalculationEnabled = true bool longStopLossTakeProfitRecalculation = isStopLossTakeProfitRecalculationEnabled ? true : (lastTrade == 'short' or lastTrade == 'initial') bool shortStopLossTakeProfitRecalculation = isStopLossTakeProfitRecalculationEnabled ? true : (lastTrade == 'long' or lastTrade == 'initial') var float longHighLowStopLoss = 0 var float shortHighLowStopLoss = 0 float highLowStopLossLowest = ta.lowest(_low, highLowStopLossLookback) float highLowStopLossHighest = ta.highest(_high, highLowStopLossLookback) if (isHighLowStopLossEnabled) if (((enterLong and longStopLossTakeProfitRecalculation) or recalculateStopLossTakeProfit) and (isStrategyEntryEnabled ? not(strategy.position_size > 0) : true)) if (highLowStopLossLowest == _low) longHighLowStopLoss := _high * highLowStopLossBackupMultiplier else if (highLowStopLossLowest > 0) longHighLowStopLoss := highLowStopLossLowest * highLowStopLossMultiplier if (((enterShort and shortStopLossTakeProfitRecalculation) or recalculateStopLossTakeProfit) and (isStrategyEntryEnabled ? not(strategy.position_size < 0) : true)) if (highLowStopLossHighest == _high) shortHighLowStopLoss := _high * (1 + (1 - highLowStopLossBackupMultiplier)) else if (highLowStopLossHighest > 0) shortHighLowStopLoss := highLowStopLossHighest * (1 + (1 - highLowStopLossMultiplier)) plot((isLongEnabled and isHighLowStopLossEnabled and (isTradeOpen == 'long')) ? longHighLowStopLoss : na, 'Long High Low Stop Loss', color=magicMint, style=plot.style_circles, trackprice=false) plot((isShortEnabled and isHighLowStopLossEnabled and (isTradeOpen == 'short')) ? shortHighLowStopLoss : na, 'Short High Low Stop Loss ', color=rajah, style=plot.style_circles, trackprice=false) // -- Automatic High Low Take Profit -- var float longAutomaticHighLowTakeProfit = na var float shortAutomaticHighLowTakeProfit = na if (isAutomaticHighLowTakeProfitEnabled) if (((enterLong and longStopLossTakeProfitRecalculation) or recalculateStopLossTakeProfit) and (isStrategyEntryEnabled ? not(strategy.position_size > 0) : true)) longHighLowStopLossPercentage = 1 - (longHighLowStopLoss / _close) longAutomaticHighLowTakeProfit := _close * (1 + (longHighLowStopLossPercentage * automaticHighLowTakeProfitRatio)) if (((enterShort and shortStopLossTakeProfitRecalculation) or recalculateStopLossTakeProfit) and (isStrategyEntryEnabled ? not(strategy.position_size > 0) : true)) shortHighLowStopLossPercentage = 1 - (_close / shortHighLowStopLoss) shortAutomaticHighLowTakeProfit := _close * (1 - (shortHighLowStopLossPercentage * automaticHighLowTakeProfitRatio)) plot((isAutomaticHighLowTakeProfitEnabled and isHighLowStopLossEnabled and (isTradeOpen == 'long')) ? longAutomaticHighLowTakeProfit : na, 'Long Automatic High Low Take Profit', color=magicMint, style=plot.style_circles, trackprice=false) plot((isAutomaticHighLowTakeProfitEnabled and isHighLowStopLossEnabled and (isTradeOpen == 'short')) ? shortAutomaticHighLowTakeProfit : na, 'Short Automatic High Low Take Profit', color=rajah, style=plot.style_circles, trackprice=false) // log.info('Automatic Long High Low Take Profit: ' + str.tostring(longAutomaticHighLowTakeProfit)) // log.info('Automatic Short High Low Take Profit: ' + str.tostring(shortAutomaticHighLowTakeProfit)) // log.info('Long High Low Stop Loss: ' + str.tostring(longHighLowStopLoss)) // log.info('Short High Low Stop Loss: ' + str.tostring(shortHighLowStopLoss)) bool longHighLowStopLossCondition = ta.crossunder(_close, longHighLowStopLoss) bool shortHighLowStopLossCondition = ta.crossover(_close, shortHighLowStopLoss) bool longAutomaticHighLowTakeProfitCondition = ta.crossover(_close, longAutomaticHighLowTakeProfit) bool shortAutomaticHighLowTakeProfitCondition = ta.crossunder(_close, shortAutomaticHighLowTakeProfit) bool exitLong = (longHighLowStopLossCondition or longAutomaticHighLowTakeProfitCondition) and strategy.position_size > 0 bool exitShort = (shortHighLowStopLossCondition or shortAutomaticHighLowTakeProfitCondition) and strategy.position_size < 0 plotshape((isSignalLabelEnabled and exitLong and (isTradeOpen == 'long')) ? psar : na, title='LONG EXIT', style=shape.circle, color=magicMint, size=size.tiny, location=location.absolute) plotshape((isSignalLabelEnabled and exitShort and (isTradeOpen == 'short')) ? psar : na, title='SHORT EXIT', style=shape.circle, color=rajah, size=size.tiny, location=location.absolute) // Long Exits if (exitLong) strategy.close('long', comment=longAutomaticHighLowTakeProfitCondition ? 'EXIT_LONG_TP' : 'EXIT_LONG_SL') isTradeOpen := '' // Short Exits if (exitShort) strategy.close('short', comment=shortAutomaticHighLowTakeProfitCondition ? 'EXIT_SHORT_TP' : 'EXIT_SHORT_SL') isTradeOpen := '' // Long Entries if (enterLong and (strategy.position_size == 0)) strategy.entry('long', strategy.long, comment='ENTER_LONG') // Short Entries if (enterShort and (strategy.position_size == 0)) strategy.entry('short', strategy.short, comment='ENTER_SHORT') // Save last trade state if (enterLong or exitLong) lastTrade := 'long' if (enterShort or exitShort) lastTrade := 'short' barcolor(color=isTradeOpen == 'long' ? mediumAquamarine : isTradeOpen == 'short' ? carrotOrange : na)