Strategi crossover purata bergerak terobosan rel ganda adalah strategi perdagangan kuantitatif yang mengikuti trend. Strategi ini menggunakan mekanisme rel ganda untuk menilai arah trend pasaran dan menggabungkan isyarat crossover purata bergerak untuk memasuki pasaran. Khususnya, strategi ini menggunakan purata bergerak kitaran yang berbeza untuk membina rel ganda dan menilai trend dengan sama ada harga memecahkan rel atas atau bawah; kemudian ia menggabungkan isyarat crossover purata bergerak cepat dan perlahan untuk menapis masa kemasukan.
Strategi crossover purata bergerak penembusan rel berganda terdiri daripada bahagian berikut:
Modul penilaian trend: Gunakan purata bergerak kitaran yang berbeza untuk membina rel ganda. Apabila harga memecahkan rel atas, ia dinilai sebagai aliran naik. Apabila ia memecahkan rel bawah, ia dinilai sebagai aliran turun.
Modul kemasukan: Pergi panjang apabila purata bergerak pantas melintasi di atas purata bergerak sederhana dan panjang, dan pergi pendek apabila melintasi di bawah.
Modul keluar: Tutup kedudukan apabila purata bergerak pantas melintasi di bawah purata bergerak sederhana dan panjang.
Strategi ini mula-mula menggunakan parameter Trend Required untuk menetapkan kekuatan trend yang diperlukan. Apabila harga memecahkan rel atas atau bawah, trend ditentukan telah terbentuk. Selepas itu, pergi panjang apabila purata bergerak pantas melintasi di atas purata bergerak sederhana dan panjang; pergi pendek apabila purata bergerak pantas melintasi di bawah. Gunakan purata bergerak pantas melintasi di bawah purata bergerak sederhana dan panjang sebagai isyarat keluar selepas memasuki.
Di samping itu, strategi ini juga mempunyai modul stop loss dan mengambil keuntungan. Parameter tertentu boleh diselaraskan dan dioptimumkan untuk mengawal risiko dan keuntungan.
Berbanding dengan strategi purata bergerak tunggal atau purata bergerak tunggal, strategi crossover purata bergerak terobosan rel ganda menggabungkan penilaian trend dan pemilihan masa kemasukan, yang dapat memahami irama pasaran dengan lebih baik.
Tetapan rel berganda dapat menentukan trend dengan lebih tepat dan mengelakkan peluang yang hilang.
Penapis crossover purata bergerak boleh mengurangkan kebarangkalian melakukan operasi terbalik kerana pecah palsu.
Risiko dan pulangan boleh dioptimumkan dengan menyesuaikan parameter.
Logik strategi adalah mudah dan jelas, mudah difahami dan dikesan.
Strategi crossover purata bergerak terobosan rel berganda juga mempunyai beberapa risiko, terutamanya:
Tetapan rel berganda masih tidak dapat sepenuhnya menghapuskan kebarangkalian penilaian trend yang salah.
Tetapan parameter purata bergerak yang tidak betul boleh membawa kepada kekerapan dagangan yang terlalu tinggi atau operasi terbalik.
Titik stop loss yang terlalu longgar tidak dapat mengawal kerugian tunggal dengan berkesan.
Penyelesaian yang sepadan adalah:
Sesuaikan parameter rel berganda dengan sewajarnya untuk meluaskan julat penilaian pecah.
Mengoptimumkan portfolio kitaran purata bergerak untuk memastikan kekerapan dagangan yang munasabah.
Uji tahap titik stop loss yang berbeza untuk mencari parameter optimum.
Strategi crossover purata bergerak terobosan rel berganda juga mempunyai arah yang boleh dioptimumkan berikut:
Uji parameter kitaran purata bergerak yang berbeza untuk mencari portfolio yang optimum.
Cuba tambah lebih banyak purata bergerak untuk membina sistem penapisan purata bergerak pelbagai.
Uji algoritma stop loss yang berlainan, seperti stop loss trailing, stop loss oscillating, dll.
Tambah mekanisme gabungan untuk mengoptimumkan kecekapan penggunaan modal.
Gabungkan dengan penunjuk lain untuk penapisan, seperti Bollinger Bands, KDJ, dll.
Strategi crossover purata bergerak terobosan rel ganda secara komprehensif mempertimbangkan penilaian trend dan pemilihan masa kemasukan, yang dapat memahami irama pasaran dengan berkesan. Berbanding dengan penunjuk tunggal, strategi ini mempunyai kelebihan penilaian yang lebih tepat dan penapisan yang lebih baik. Dengan mengoptimumkan parameter dan menaik taraf modul, ia dijangka akan meningkatkan lagi kestabilan dan keuntungan strategi.
/*backtest start: 2023-01-01 00:00:00 end: 2023-09-12 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 //Author = Dustin Drummond https://www.tradingview.com/u/Dustin_D_RLT/ //Strategy based in part on original 10ema Basic Swing Trade Strategy by Matt Delong: https://www.tradingview.com/u/MattDeLong/ //Link to original 10ema Basic Swing Trade Strategy: https://www.tradingview.com/script/8yhGnGCM-10ema-Basic-Swing-Trade-Strategy/ //This is the Original EMAC - Exponential Moving Average Cross Strategy built as a class for reallifetrading dot com and so has all the default settings and has not been optimized //I would not recomend using this strategy with the default settings and is for educational purposes only //For the fully optimized version please come back around the same time tomorrow 6/16/21 for the EMAC - Exponential Moving Average Cross - Optimized //EMAC - Exponential Moving Average Cross strategy(title="EMAC - Exponential Moving Average Cross", shorttitle = "EMAC", overlay = true, calc_on_every_tick=false, default_qty_value = 100, initial_capital = 100000, default_qty_type = strategy.fixed, pyramiding = 0, process_orders_on_close=true) //creates a time filter to prevent "too many orders error" and allows user to see Strategy results per year by changing input in settings in Stratey Tester startYear = input(2015, title="Start Year", minval=1980, step=1) timeFilter = (year >= startYear) and (month >= 1) and (dayofmonth >= 1) //R Size (Risk Amount) rStaticOrPercent = input(title="R Static or Percent", defval="Static", options=["Static", "Percent"]) rSizeStatic = input(2000, title="R Size Static", minval=1, step=100) rSizePercent = input(3, title="R Size Percent", minval=.01, step=.01) rSize = rStaticOrPercent == "Static" ? rSizeStatic : rStaticOrPercent == "Percent" ? (rSizePercent * .01 * strategy.equity) : 1 //Recent Trend Indicator "See the standalone version for detailed description" res = input(title="Trend Timeframe", type=input.resolution, defval="W") trend = input(26, minval=1, title="# of Bars for Trend") trendMult = input(15, minval=0, title="Trend Growth %", step=.25) / 100 currentClose = security(syminfo.tickerid, res, close) pastClose = security(syminfo.tickerid, res, close[trend]) //Trend Indicator upTrend = (currentClose >= (pastClose * (1 + trendMult))) downTrend = (currentClose <= (pastClose * (1 - trendMult))) sidewaysUpTrend = (currentClose < (pastClose * (1 + trendMult)) and (currentClose > pastClose)) sidewaysDownTrend = (currentClose > (pastClose * (1 - trendMult)) and (currentClose < pastClose)) //Plot Trend on Chart plotshape(upTrend, "Up Trend", style=shape.square, location=location.top, color=color.green, size=size.small) plotshape(downTrend, "Down Trend", style=shape.square, location=location.top, color=color.red, size=size.small) plotshape(sidewaysUpTrend, "Sideways Up Trend", style=shape.square, location=location.top, color=color.yellow, size=size.small) plotshape(sidewaysDownTrend, "Sideways Down Trend", style=shape.square, location=location.top, color=color.orange, size=size.small) //What trend signals to use in entrySignal trendRequired = input(title="Trend Required", defval="Orange", options=["Green", "Yellow", "Orange", "Red"]) goTrend = trendRequired == "Orange" ? upTrend or sidewaysUpTrend or sidewaysDownTrend : trendRequired == "Yellow" ? upTrend or sidewaysUpTrend : trendRequired == "Green" ? upTrend : trendRequired == "Red" ? upTrend or sidewaysUpTrend or sidewaysDownTrend or downTrend : na //MAs Inputs Defalt is 10 EMA, 20 EMA, 50 EMA, 100 SMA and 200 SMA ma1Length = input(10, title="MA1 Period", minval=1, step=1) ma1Type = input(title="MA1 Type", defval="EMA", options=["SMA", "EMA", "WMA"]) ma2Length = input(20, title="MA2 Period", minval=1, step=1) ma2Type = input(title="MA2 Type", defval="EMA", options=["SMA", "EMA", "WMA"]) ma3Length = input(50, title="MA3 Period", minval=1, step=1) ma3Type = input(title="MA3 Type", defval="EMA", options=["SMA", "EMA", "WMA"]) ma4Length = input(100, title="MA4 Period", minval=1, step=1) ma4Type = input(title="MA4 Type", defval="SMA", options=["SMA", "EMA", "WMA"]) ma5Length = input(200, title="MA5 Period", minval=1, step=1) ma5Type = input(title="MA5 Type", defval="SMA", options=["SMA", "EMA", "WMA"]) //MAs defined ma1 = ma1Type == "EMA" ? ema(close, ma1Length) : ma1Type == "SMA" ? sma(close, ma1Length) : wma(close, ma1Length) ma2 = ma2Type == "EMA" ? ema(close, ma2Length) : ma2Type == "SMA" ? sma(close, ma2Length) : wma(close, ma2Length) ma3 = ma3Type == "EMA" ? ema(close, ma3Length) : ma3Type == "SMA" ? sma(close, ma3Length) : wma(close, ma3Length) ma4 = ma4Type == "SMA" ? sma(close, ma4Length) : ma4Type == "EMA" ? ema(close, ma4Length) : wma(close, ma4Length) ma5 = ma5Type == "SMA" ? sma(close, ma5Length) : ma5Type == "EMA" ? ema(close, ma5Length) : wma(close, ma5Length) //Plot MAs plot(ma1, title="MA1", color=color.yellow, linewidth=1, style=plot.style_line) plot(ma2, title="MA2", color=color.purple, linewidth=1, style=plot.style_line) plot(ma3, title="MA3", color=#00FFFF, linewidth=1, style=plot.style_line) plot(ma4, title="MA4", color=color.blue, linewidth=2, style=plot.style_line) plot(ma5, title="MA5", color=color.orange, linewidth=2, style=plot.style_line) //Allows user to toggle on/off ma1 > ma2 filter enableShortMAs = input(title="Enable Short MA Cross Filter", defval="Yes", options=["Yes", "No"]) shortMACross = enableShortMAs == "Yes" and ma1 > ma2 or enableShortMAs == "No" //Allows user to toggle on/off ma4 > ma5 filter enableLongMAs = input(title="Enable Long MA Cross Filter", defval="Yes", options=["Yes", "No"]) longMACross = enableLongMAs == "Yes" and ma4 >= ma5 or enableLongMAs == "No" //Entry Signals entrySignal = (strategy.position_size <= 0 and close[1] < ma1[1] and close > ma1 and close > ma2 and close > ma3 and shortMACross and ma1 > ma3 and longMACross and goTrend) secondSignal = (strategy.position_size > 0 and close[1] < ma1[1] and close > ma1 and close > ma2 and close > ma3 and shortMACross and ma1 > ma3 and longMACross and goTrend) plotshape(entrySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(secondSignal, style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.small) //ATR for Stops atrValue = (atr(14)) //to test ATR enable next line //plot(atrValue, linewidth=1, color=color.black, style=plot.style_line) atrMult = input(2.5, minval=.25, step=.25, title="Stop ATR Multiple") //Only target3Mult is used in current strategy target1 and target2 might be used in the future with pyramiding //target1Mult = input(1.0, minval=.25, step=.25, title="Targert 1 Multiple") //target2Mult = input(2.0, minval=.25, step=.25, title="Targert 2 Multiple") target3Mult = input(3.0, minval=.25, step=.25, title="Target Multiple") enableAtrStop = input(title="Enable ATR Stops", defval="Yes", options=["Yes", "No"]) //Intitial Recomended Stop Location atrStop = entrySignal and ((high - (atrMult * atrValue)) < low) ? (high - (atrMult * atrValue)) : low //oneAtrStop is used for testing only enable next 2 lines to test //oneAtrStop = entrySignal ? (high - atrValue) : na //plot(oneAtrStop, "One ATR Stop", linewidth=2, color=color.orange, style=plot.style_linebr) initialStop = entrySignal and enableAtrStop == "Yes" ? atrStop : entrySignal ? low : na //Stops changed to stoploss to hold value for orders the next line is old code "bug" //plot(initialStop, "Initial Stop", linewidth=2, color=color.red, style=plot.style_linebr) //Set Initial Stop and hold value "debug code" stoploss = valuewhen(entrySignal, initialStop, 0) plot(stoploss, title="Stop", linewidth=2, color=color.red) enableStops = input(title="Enable Stops", defval="Yes", options=["Yes", "No"]) yesStops = enableStops == "Yes" ? 1 : enableStops == "No" ? 0 : na //Calculate size of trade based on R Size //Original buggy code: //positionSize = (rSize/(close - initialStop)) //Added a minimum order size of 1 "debug code" positionSize = (rSize/(close - initialStop)) > 1 ? (rSize/(close - initialStop)) : 1 //Targets //Enable or Disable Targets enableTargets = input(title="Enable Targets", defval="Yes", options=["Yes", "No"]) yesTargets = enableTargets == "Yes" ? 1 : enableTargets == "No" ? 0 : na //Only target3 is used in current strategy target1 and target2 might be used in the future with pyramiding //target1 = entrySignal ? (close + ((close - initialStop) * target1Mult)) : na //target2 = entrySignal ? (close + ((close - initialStop) * target2Mult)) : na target3 = entrySignal ? (close + ((close - initialStop) * target3Mult)) : na //plot(target1, "Target 1", linewidth=2, color=color.green, style=plot.style_linebr) //plot(target2, "Target 2", linewidth=2, color=color.green, style=plot.style_linebr) plot(target3, "Target 3", linewidth=2, color=color.green, style=plot.style_linebr) //Set Target and hold value "debug code" t3 = valuewhen(entrySignal, target3, 0) //To test t3 and see plot enable next line //plot(t3, title="Target", linewidth=2, color=color.green) //MA1 Cross Exit enableEarlyExit = input(title="Enable Early Exit", defval="Yes", options=["Yes", "No"]) earlyExit = enableEarlyExit == "Yes" ? 1 : enableEarlyExit == "No" ? 0 : na ma1CrossExit = strategy.position_size > 0 and close < ma1 //Entry Order strategy.order("Entry", long = true, qty = positionSize, when = (strategy.position_size <= 0 and entrySignal and timeFilter)) //Early Exit Order strategy.close_all(when = ma1CrossExit and timeFilter and earlyExit, comment = "MA1 Cross Exit") //Stop and Target Orders //strategy.cancel orders are needed to prevent bug with Early Exit Order strategy.order("Stop Loss", false, qty = strategy.position_size, stop=stoploss, oca_name="Exit",when = timeFilter and yesStops, comment = "Stop Loss") strategy.cancel("Stop Loss", when = ma1CrossExit and timeFilter and earlyExit) strategy.order("Target", false, qty = strategy.position_size, limit=t3, oca_name="Exit", when = timeFilter and yesTargets, comment = "Target") strategy.cancel("Target", when = ma1CrossExit and timeFilter and earlyExit)