Strategi Breakout Momentum Dual MA adalah strategi perdagangan kuantitatif yang menggabungkan garis rata-rata bergerak ganda dan indikator RSI. Ini menghitung rata-rata bergerak cepat, rata-rata bergerak lambat dan RSI untuk menetapkan ambang overbought / oversold untuk indikator momentum RSI.
Strategi Breakout Momentum Dual MA terutama didasarkan pada dua rata-rata bergerak dan indikator RSI. Pertama menghitung satu garis rata-rata bergerak cepat dan satu garis rata-rata bergerak lambat, dengan MA cepat adalah rata-rata bergerak tertimbang 10 hari dan MA lambat adalah rata-rata bergerak adaptif linier 100 hari. Kemudian menghitung RSI 14 hari dan menetapkan ambang overbought / oversold. Ketika MA cepat melintasi di atas MA lambat, itu menandakan uptrend, dan ketika MA cepat melintasi di bawah MA, itu menandakan downtrend. Selain menentukan arah tren, strategi juga mengharuskan RSI berada di atas ambang overbought atau di bawah ambang oversold untuk secara efektif menyaring breakout palsu.
Secara khusus, ketika tren naik diidentifikasi, jika RSI berada di atas ambang overbought pada saat ini, posisi panjang akan dibuka. Ketika tren turun diidentifikasi dan RSI berada di bawah ambang oversold, posisi pendek akan dibuka. Setelah membuka posisi, posisi sebaliknya akan dibuka ketika sinyal perdagangan terbalik.
Dual MA Momentum Breakout Strategy menggabungkan dua MAs dan RSI untuk secara efektif mengidentifikasi tren pasar dan menggunakan RSI untuk menyaring breakout palsu, sehingga meningkatkan keandalan sinyal perdagangan.
Strategi Breakout Momentum Dual MA juga membawa beberapa risiko. Sistem MA ganda sangat sensitif terhadap parameter dan kombinasi parameter yang berbeda perlu diuji dengan hati-hati untuk pasar yang berbeda. Selain itu, ambang batas yang ditetapkan secara tidak benar untuk RSI juga dapat menyebabkan peluang perdagangan yang hilang. Akhirnya, stop trailing yang agresif dapat ditembus dalam kondisi pasar tertentu, sehingga titik stop loss harus disesuaikan berdasarkan hasil backtesting.
Dual MA Momentum Breakout Strategy dapat dioptimalkan dalam aspek berikut:
Dual MA Momentum Breakout Strategy menentukan arah tren melalui sistem dual MA dan menggunakan RSI untuk menyaring sinyal, yang dapat secara efektif memperbaiki kekurangan dari satu sistem MA. Strategi ini memiliki ruang optimasi yang besar untuk parameter dan dapat mencapai penyesuaian adaptif.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-10 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ // © Salman4sgd //@version=5 strategy("MAConverging + QQE Threshold Strategy", overlay = true) //------------------------------------------------------------------------------ //Settings //-----------------------------------------------------------------------------{ length = input(100) incr = input(10, "Increment") fast = input(10) src = input(close) //-----------------------------------------------------------------------------} //Calculations //-----------------------------------------------------------------------------{ var ma = 0. var fma = 0. var alpha = 0. var k = 1 / incr upper = ta.highest(length) lower = ta.lowest(length) init_ma = ta.sma(src, length) cross = ta.cross(src,ma) alpha := cross ? 2 / (length + 1) : src > ma and upper > upper[1] ? alpha + k : src < ma and lower < lower[1] ? alpha + k : alpha ma := nz(ma[1] + alpha[1] * (src - ma[1]), init_ma) fma := nz(cross ? math.avg(src, fma[1]) : src > ma ? math.max(src, fma[1]) + (src - fma[1]) / fast : math.min(src, fma[1]) + (src - fma[1]) / fast,src) //-----------------------------------------------------------------------------} //Plots //-----------------------------------------------------------------------------{ css = fma > ma ? color.teal : color.red plot0 = plot(fma, "Fast MA" , color = #ff5d00 , transp = 100) plot1 = plot(ma, "Converging MA" , color = css) fill(plot0, plot1, css , "Fill" , transp = 80) //-----------------------------------------------------------------------------} RSI_Period = input(14, title='RSI Length') SF = input(5, title='RSI Smoothing') QQE = input(4.238, title='Fast QQE Factor') ThreshHold = input(10, title='Thresh-hold') // sQQEx = input(false, title='Show Smooth RSI, QQE Signal crosses') sQQEz = input(false, title='Show Smooth RSI Zero crosses') sQQEc = input(false, title='Show Smooth RSI Thresh Hold Channel Exits') ma_type = input.string(title='MA Type', defval='EMA', options=['ALMA', 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'PEMA']) lsma_offset = input.int(defval=0, title='* Least Squares (LSMA) Only - Offset Value', minval=0) alma_offset = input.float(defval=0.85, title='* Arnaud Legoux (ALMA) Only - Offset Value', minval=0, step=0.01) alma_sigma = input.int(defval=6, title='* Arnaud Legoux (ALMA) Only - Sigma Value', minval=0) inpDrawBars = input(true, title='color bars?') ma(type, src, len) => float result = 0 if type == 'SMA' // Simple result := ta.sma(src, len) result if type == 'EMA' // Exponential result := ta.ema(src, len) result if type == 'DEMA' // Double Exponential e = ta.ema(src, len) result := 2 * e - ta.ema(e, len) result if type == 'TEMA' // Triple Exponential e = ta.ema(src, len) result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len) result if type == 'WMA' // Weighted result := ta.wma(src, len) result if type == 'VWMA' // Volume Weighted result := ta.vwma(src, len) result if type == 'SMMA' // Smoothed w = ta.wma(src, len) result := na(w[1]) ? ta.sma(src, len) : (w[1] * (len - 1) + src) / len result if type == 'HMA' // Hull result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) result if type == 'LSMA' // Least Squares result := ta.linreg(src, len, lsma_offset) result if type == 'ALMA' // Arnaud Legoux result := ta.alma(src, len, alma_offset, alma_sigma) result if type == 'PEMA' // Copyright (c) 2010-present, Bruno Pio // Copyright (c) 2019-present, Alex Orekhov (everget) // Pentuple Exponential Moving Average script may be freely distributed under the MIT license. 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) ema7 = ta.ema(ema6, len) ema8 = ta.ema(ema7, len) pema = 8 * ema1 - 28 * ema2 + 56 * ema3 - 70 * ema4 + 56 * ema5 - 28 * ema6 + 8 * ema7 - ema8 result := pema result result src := input(close, title='RSI Source') // // Wilders_Period = RSI_Period * 2 - 1 Rsi = ta.rsi(src, RSI_Period) RsiMa = ma(ma_type, Rsi, SF) AtrRsi = math.abs(RsiMa[1] - RsiMa) MaAtrRsi = ma(ma_type, AtrRsi, Wilders_Period) dar = ma(ma_type, MaAtrRsi, Wilders_Period) * QQE longband = 0.0 shortband = 0.0 trend = 0 DeltaFastAtrRsi = dar RSIndex = RsiMa newshortband = RSIndex + DeltaFastAtrRsi newlongband = RSIndex - DeltaFastAtrRsi longband := RSIndex[1] > longband[1] and RSIndex > longband[1] ? math.max(longband[1], newlongband) : newlongband shortband := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? math.min(shortband[1], newshortband) : newshortband cross_1 = ta.cross(longband[1], RSIndex) trend := ta.cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1) FastAtrRsiTL = trend == 1 ? longband : shortband // // Find all the QQE Crosses QQExlong = 0 QQExlong := nz(QQExlong[1]) QQExshort = 0 QQExshort := nz(QQExshort[1]) QQExlong := sQQEx and FastAtrRsiTL < RSIndex ? QQExlong + 1 : 0 QQExshort := sQQEx and FastAtrRsiTL > RSIndex ? QQExshort + 1 : 0 // Zero cross QQEzlong = 0 QQEzlong := nz(QQEzlong[1]) QQEzshort = 0 QQEzshort := nz(QQEzshort[1]) QQEzlong := sQQEz and RSIndex >= 50 ? QQEzlong + 1 : 0 QQEzshort := sQQEz and RSIndex < 50 ? QQEzshort + 1 : 0 // // Thresh Hold channel Crosses give the BUY/SELL alerts. QQEclong = 0 QQEclong := nz(QQEclong[1]) QQEcshort = 0 QQEcshort := nz(QQEcshort[1]) QQEclong := sQQEc and RSIndex > 50 + ThreshHold ? QQEclong + 1 : 0 QQEcshort := sQQEc and RSIndex < 50 - ThreshHold ? QQEcshort + 1 : 0 // // QQE exit from Thresh Hold Channel // plotshape(sQQEc and QQEclong == 1 ? RsiMa - 50 : na, title='QQE XC Over Channel', style=shape.diamond, location=location.absolute, color=color.new(color.olive, 0), size=size.small, offset=0) // plotshape(sQQEc and QQEcshort == 1 ? RsiMa - 50 : na, title='QQE XC Under Channel', style=shape.diamond, location=location.absolute, color=color.new(color.red, 0), size=size.small, offset=0) // // QQE crosses // plotshape(sQQEx and QQExlong == 1 ? FastAtrRsiTL[1] - 50 : na, title='QQE XQ Cross Over', style=shape.circle, location=location.absolute, color=color.new(color.lime, 0), size=size.small, offset=-1) // plotshape(sQQEx and QQExshort == 1 ? FastAtrRsiTL[1] - 50 : na, title='QQE XQ Cross Under', style=shape.circle, location=location.absolute, color=color.new(color.blue, 0), size=size.small, offset=-1) // // Signal crosses zero line // plotshape(sQQEz and QQEzlong == 1 ? RsiMa - 50 : na, title='QQE XZ Zero Cross Over', style=shape.square, location=location.absolute, color=color.new(color.aqua, 0), size=size.small, offset=0) // plotshape(sQQEz and QQEzshort == 1 ? RsiMa - 50 : na, title='QQE XZ Zero Cross Under', style=shape.square, location=location.absolute, color=color.new(color.fuchsia, 0), size=size.small, offset=0) // hcolor = RsiMa - 50 > ThreshHold ? color.green : RsiMa - 50 < 0 - ThreshHold ? color.red : color.orange // plot(FastAtrRsiTL - 50, color=color.new(color.blue, 0), linewidth=2) // p1 = plot(RsiMa - 50, color=color.new(color.orange, 0), linewidth=2) // plot(RsiMa - 50, color=hcolor, style=plot.style_columns, transp=50) // hZero = hline(0, color=color.black, linestyle=hline.style_dashed, linewidth=1) // hUpper = hline(ThreshHold, color=color.green, linestyle=hline.style_dashed, linewidth=2) // hLower = hline(0 - ThreshHold, color=color.red, linestyle=hline.style_dashed, linewidth=2) // fill(hUpper, hLower, color=color.new(color.gray, 80)) //EOF length := input.int(title='ATR Length', defval=14, minval=1) smoothing = input.string(title='ATR Smoothing', defval='RMA', options=['RMA', 'SMA', 'EMA', 'WMA']) m = input(0.3, 'ATR Multiplier') src1 = input(high) src2 = input(low) pline = input(true, 'Show Price Lines') col1 = input(color.blue, 'ATR Text Color') col2 = input.color(color.teal, 'Low Text Color', inline='1') col3 = input.color(color.red, 'High Text Color', inline='2') collong = input.color(color.teal, 'Low Line Color', inline='1') colshort = input.color(color.red, 'High Line Color', inline='2') ma_function(source, length) => if smoothing == 'RMA' ta.rma(source, length) else if smoothing == 'SMA' ta.sma(source, length) else if smoothing == 'EMA' ta.ema(source, length) else ta.wma(source, length) a = ma_function(ta.tr(true), length) * m s_sl = ma_function(ta.tr(true), length) * m + src1 l_sl = src2 - ma_function(ta.tr(true), length) * m p1 = plot(s_sl, title='ATR Short Stop Loss', color=colshort, trackprice=pline ? true : false, transp=20) p2 = plot(l_sl, title='ATR Long Stop Loss', color=collong, trackprice=pline ? true : false, transp=20) bgc = RsiMa - 50 > ThreshHold ? color.green : Rsi - 50 < 0 - ThreshHold ? color.red : color.orange barcolor(inpDrawBars ? bgc : na) prebuy = RsiMa - 50 > ThreshHold buy=prebuy and not(prebuy[1]) and fma > ma var long_tp=0.0 var long_sl=0.0 var short_tp=0.0 var short_sl=0.0 if prebuy strategy.close("Short") if buy and strategy.position_size<=0 strategy.entry("Long", strategy.long) long_sl:=l_sl long_tp:=close+(close-long_sl)*2 //if strategy.position_size>0 strategy.exit("L_SL","Long",stop=long_sl) //strategy.exit("L_SL","Long",stop=long_sl) // if low<long_sl[1] // strategy.close("Long") presell=RsiMa - 50 < 0 - ThreshHold // RsiMa - 50 < 0 - ThreshHold sell= presell and not(presell[1]) and fma < ma //plotshape(presell) if presell strategy.close("Long") if sell and strategy.position_size>=0 strategy.entry("Short", strategy.short) short_sl:=s_sl short_tp:=close-(short_sl-close)*2 //if strategy.position_size<0 strategy.exit("S_SL","Short",stop=short_sl) //strategy.exit("S_SL","Short",stop=short_sl)