Tujuan strategi ini adalah untuk menyeimbangkan psikologi dan prestasi peniaga melalui penyesuaian pelbagai parameter, untuk mendapatkan pulangan yang lebih mantap. Ia menggunakan penunjuk seperti purata bergerak, Bollinger Bands dan Saluran Keltner untuk menentukan trend dan turun naik pasaran, bersama dengan penunjuk PSAR untuk mengenal pasti isyarat pembalikan.
Logik teras strategi ini adalah seperti berikut:
Penghakiman trend: purata bergerak EMA digunakan untuk menentukan arah trend harga. Harga di atas EMA menandakan trend menaik manakala harga di bawah EMA menunjukkan trend menurun.
Mengenali pembalikan: penunjuk PSAR menjumpai titik pembalikan harga. Titik PSAR yang muncul di atas harga menandakan panjang sementara titik yang muncul di bawah harga memanggil pendek.
Momentum pengukur: penunjuk TTM Squeeze mengukur turun naik dan momentum pasaran. Ia membandingkan Bollinger Bands dan Saluran Keltner untuk mengukur tekanan dan lonjakan turun naik. Squeeze bermaksud turun naik yang sangat rendah sementara pelepasan tekanan menandakan pergerakan harga arah besar yang akan datang.
Menghasilkan isyarat dagangan: isyarat panjang dicetuskan apabila harga menyeberang di atas garis EMA dan titik PSAR, disertai dengan pelepasan Squeeze TTM. Isyarat pendek berlaku apabila harga menyeberang di bawah EMA dan PSAR, bersama-sama dengan pemicu Squeeze TTM.
Kaedah Stop Loss: asas stop loss tinggi-rendah pada harga tinggi/rendah baru-baru ini didarabkan dengan faktor yang ditetapkan.
Kaedah mengambil keuntungan: risiko-balasan mengambil keuntungan secara automatik mengira sasaran keuntungan berdasarkan jarak stop loss dari harga semasa didarabkan dengan nisbah risiko-balasan yang telah ditetapkan.
Pelbagai parameter membolehkan peniaga menyeimbangkan psikologi dengan mengawal kekerapan perdagangan, saiz kedudukan, tahap stop loss dan mengambil mata keuntungan.
Keutamaan strategi ini termasuk:
Ketepatan isyarat yang lebih tinggi daripada konsensus pelbagai penunjuk
Terutama berpusat pada pembalikan, mengurangkan kemungkinan pemudarangan palsu
TTM Squeeze mengukur penyatuan untuk mengelakkan perdagangan yang tidak berkesan
Simpel dan boleh diselaraskan kehilangan henti tinggi rendah
Risiko-balasan mengambil keuntungan mengukur nisbah keuntungan untuk penyesuaian mudah
Parameter yang fleksibel untuk menyesuaikan pilihan risiko peribadi
Risiko strategi terdiri daripada:
Peningkatan kemungkinan isyarat masuk yang hilang dari pelbagai penunjuk
Prestasi yang kurang baik di pasaran trend berterusan
Pelanggaran Stop Loss berkala melebihi jangkaan
Potensi pembatalan keluar risiko-balasan oleh whipsaws harga
Penyesuaian parameter yang tidak sesuai boleh menyebabkan kehilangan atau over-stop out
Bidang penambahbaikan yang mungkin meliputi:
Tambah atau sesuaikan berat penunjuk untuk ketepatan isyarat yang lebih tinggi
Mengoptimumkan parameter pembalikan dan trend untuk menangkap keuntungan yang lebih baik
Memperbaiki tahap kehilangan hentian tinggi-rendah untuk kecekapan maksimum
Uji nisbah risiko-balasan yang berbeza untuk hasil yang optimum
Penyesuaian saiz kedudukan untuk meminimumkan kesan kerugian perdagangan tunggal
Ringkasnya, melalui kombinasi penunjuk dan tetapan yang boleh disesuaikan, strategi ini mampu menyeimbangkan psikologi perdagangan dan memastikan hasil positif yang stabil. Walaupun beberapa kenaikan yang masih ada, ia telah menunjukkan penerapan praktikal. maklum balas dan kalibrasi pasaran langsung yang lebih lanjut mungkin akan meningkatkannya menjadi alat yang berkesan untuk menguruskan emosi dan mencapai keuntungan stabil jangka panjang.
/*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)