Strategi ini adalah strategi perdagangan momentum berdasarkan beberapa penunjuk teknikal. Strategi ini menggunakan Bollinger Bands, RSI, ATR dan penunjuk teknikal lain untuk melaksanakan model pelbagai faktor untuk menilai kemasukan dengan cepat apabila trend muncul. Pada masa yang sama, strategi ini juga menggunakan stop loss, stop profit lanjutan dan cara kawalan risiko lain untuk mengawal risiko dengan berkesan.
Sinyal perdagangan strategi ini terutamanya berasal dari Bollinger Bands. Apabila harga mendekati rel bawah Bollinger Bands, ia bullish, dan apabila harga mendekati rel atas, ia bearish. Untuk menapis pecah palsu, strategi ini juga menggabungkan peraturan penunjuk RSI. Hanya apabila penunjuk RSI juga mengesahkan bahawa ia kini berada di kawasan overbought atau oversold, isyarat perdagangan akan dihasilkan.
Di samping itu, penunjuk ATR digunakan dalam strategi untuk melaksanakan stop loss dan mengambil keuntungan. Khususnya, apabila membuka kedudukan, harga pembelian akan direkodkan. Selepas itu, penangguhan akan digunakan berdasarkan nilai penunjuk ATR untuk mengunci keuntungan dan mengawal risiko dengan berkesan.
Kelebihan terbesar strategi ini ialah dengan menggunakan model pelbagai faktor untuk mensintesis pasaran, ia dapat menilai peluang struktural di pasaran dengan berkesan. Ini mengelakkan isyarat palsu dari satu penunjuk sahaja. Pada masa yang sama, mekanisme stop loss dan stop profit canggih strategi ini juga dapat mengawal risiko dengan berkesan dan mengelakkan kerugian yang berlebihan.
Risiko terbesar strategi ini adalah bahawa jika terdapat pembalikan pasaran yang ganas, kebarangkalian bahawa beberapa penunjuk akan menghasilkan isyarat yang salah pada masa yang sama akan agak besar. Ini akan membawa kepada kerugian yang ketara untuk strategi. Di samping itu, apabila penunjuk teknikal mengeluarkan isyarat, ia juga mungkin konsensus umum pasaran, terdedah kepada kesan kawanan, dan dengan itu terperangkap.
Untuk mengurangkan risiko ini, kita boleh menyesuaikan parameter dengan sewajarnya dan memilih isyarat yang lebih jelas. Pada masa yang sama, lebih banyak keadaan penapisan boleh ditambah untuk mengelakkan perdagangan yang salah berhampiran puncak dan bawah pasaran.
Strategi ini boleh dioptimumkan ke arah berikut:
Tambah lebih banyak penunjuk teknikal untuk membentuk model pelbagai faktor tiga dimensi untuk meningkatkan ketepatan penilaian
Mengoptimumkan logik stop loss dan memilih strategi stop loss yang berbeza mengikut peringkat pasaran yang berbeza
Menggunakan pembelajaran mesin dan teknologi lain untuk mengoptimumkan parameter secara dinamik dan menilai kebolehpercayaan isyarat
Menggabungkan industri, konsep dan maklumat lain untuk membentuk model pelbagai faktor tertanam
Dengan menggunakan idea model pelbagai faktor dengan munasabah, strategi ini menangkap arah trend dengan sangat baik. Pada masa yang sama, langkah-langkah kawalan risiko saintifik juga membolehkan strategi mendapat keuntungan dengan cara yang boleh dikawal. Melalui pengoptimuman berterusan, diharapkan dapat meningkatkan kestabilan dan keuntungan strategi.
/*backtest start: 2023-01-28 00:00:00 end: 2024-02-03 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=3 // THIS SCRIPT IS MEANT TO ACCOMPANY COMMAND EXECUTION BOTS // THE INCLUDED STRATEGY IS NOT MEANT FOR LIVE TRADING // THIS STRATEGY IS PURELY AN EXAMLE TO START EXPERIMENTATING WITH YOUR OWN IDEAS ///////////////////////////////////////////////////////////////////////////////// // comment out the next line to use this script as an alert script strategy(title="Dragon Bot - Default Script", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // remove the // in the next line to use this script as an alert script // study(title="Dragon Bot - Default Script", overlay=true) // Dragon-Bot default script version 2.0 // This can also be used with bot that reacts to tradingview alerts. // Use the script as "strategy" for backtesting // Comment out line 8 and de-comment line 10 to be able to set tradingview alerts. // You should also comment out (place // before it) the lines 360, 364, 368 and 372 (strategy.entry and strategy.close) to be able to set the alerts. ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// // In this first part of the script we setup variables and make sure the script keeps all information it used in the past. // ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// longs = 0 longs := nz(longs[1]) shorts = 0 shorts := nz(shorts[1]) buyprice = 0.0 buyprice := buyprice[1] sellprice = 0.0 sellprice := sellprice[1] scaler = 0.0 scaler := scaler[1] sellprofit = input(1.0, minval=0.0, step=0.1, title="main strat profit") sellproffinal = sellprofit/100 enable_shorts = input(1, minval=0, maxval=1, title="Shorts on/off") enable_flipping = input(0, minval=0, maxval=1, title="Flipping on/off -> Go directly from long -> short or short -> long without closing ") enable_stoploss = input(0, minval=0, maxval=1, title="Stoploss on/off") sellstoploss = input(30.0, minval=0.0, step=1.0, title="Stoploss %") sellstoplossfinal = sellstoploss/100 enable_trailing = input(1, minval=0, maxval=1, title="Trailing on/off") enable_trailing_ATR = input(1, minval=0, maxval=1, title="Trailing use ATR on/off") ATR_Multi = input(1.0, minval=0.0, step=0.1, title="Multiplier for ATR") selltrailing = input(10.0, minval=0.0, step=1.0, title="Trailing %") selltrailingfinal = selltrailing/100 Backtestdate = input(0, minval=0, maxval=1, title="backtest date on/off") // Component Code by pbergden - Start backtest dates // The following code snippet is taken from an example by pbergen // All rights to this snippet remain with pbergden testStartYear = input(2018, "Backtest Start Year") testStartMonth = input(1, "Backtest Start Month") testStartDay = input(1, "Backtest Start Day") testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0) testStopYear = input(2019, "Backtest Stop Year") testStopMonth = input(1, "Backtest Stop Month") testStopDay = input(1, "Backtest Stop Day") testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0) // A switch to control background coloring of the test period testPeriodBackground = input(title="Color Background?", type=bool, defval=true) testPeriodBackgroundColor = testPeriodBackground and (time >= testPeriodStart) and (time <= testPeriodStop) ? #00FF00 : na bgcolor(testPeriodBackgroundColor, transp=97) testPeriod() => true ///////////////////////////////////////////////////////////////////////////////////////////////////// // In this second part of the script we setup indicators that we can use for our actual algorithm. // ///////////////////////////////////////////////////////////////////////////////////////////////////// //ATR lengthtr = input(20, minval=1, title="ATR Length") ATRsell = input(0, minval=0, title="1 for added ATR when selling") ATR=rma(tr(true), lengthtr) Trail_ATR=rma(tr(true), 10) * ATR_Multi atr = 0.0 if ATRsell == 1 atr := ATR //OC2 lengthoc2 = input(20, minval=1, title="OC2 Length") OC2sell = input(0, minval=0, title="1 for added OC2 when selling") OC2mult = input(1, minval=1, title="OC2 multiplayer") OC= abs(open[1]-close) OC2=rma(OC, lengthoc2) oc2 = 0.0 if OC2sell == 1 oc2 := OC2*OC2mult //ADX lenadx = input(10, minval=1, title="DI Length") lensig = input(10, title="ADX Smoothing", minval=1, maxval=50) up = change(high) down = -change(low) plusDM = na(up) ? na : (up > down and up > 0 ? up : 0) minusDM = na(down) ? na : (down > up and down > 0 ? down : 0) trur = rma(tr, lenadx) plus = fixnan(100 * rma(plusDM, lenadx) / trur) minus = fixnan(100 * rma(minusDM, lenadx) / trur) sum = plus + minus sigadx = 100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), lensig) //StochRSI smoothKRSI = input(3, minval=1) smoothDRSI = input(3, minval=1) lengthRSI = input(14, minval=1) lengthStochRSI = input(14, minval=1) srcRSI = input(close, title="RSI Source") buyRSI = input(30, minval=1, title="RSI Buy Value") sellRSI = input(70, minval=1, title="RSI Sell Value") rsi1 = rsi(srcRSI, lengthRSI) krsi = sma(stoch(rsi1, rsi1, rsi1, lengthStochRSI), smoothKRSI) drsi = sma(krsi, smoothDRSI) // Bollinger bands lengthbb = input(20, minval=1) srcbb = input(close, title="Sourcebb") multbb = input(2.0, minval=0.001, maxval=50) bb_buy_value = input(0.5, step=0.1, title="BB Buy Value") bb_sell_value = input(0.5, step=0.1, title="BB Sell Value") basisbb = sma(srcbb, lengthbb) devbb = multbb * stdev(srcbb, lengthbb) upperbb = basisbb + devbb lowerbb = basisbb - devbb bbr = (srcbb - lowerbb)/(upperbb - lowerbb) bbbuy = basisbb - (devbb*bb_buy_value) bbsell = basisbb + (devbb*bb_sell_value) //ema very short shorter = ema(close, 2) shorterlong = ema(close, 5) //ema short short = ema(close, 10) long = ema(close, 30) //ema long shortday = ema(close, 110) longday = ema(close, 360) //ema even longer shortlongerday = ema(close, 240) longlongerday = ema(close, 720) //declaring extra timeframe value profit = request.security(syminfo.tickerid, timeframe.period, close) //////////////////////////////////////////////////////////////////////// // In the 3rd part of the script we define all the entries and exits // ///////// This third part is basically the acual algorithm //////////// /////////////////////////////////////////////////////////////////////// //Declaring function with the long entries OPENLONG_funct() => // You can add more buy entries to the script longentry1 = false longentry2 = false longentry3 = false longentry4 = false longentry5 = false makelong_funct = false if close<bbbuy and krsi<buyRSI // You could for instance add "and shortday > longday" longentry1 := close>close[1] // longentry2 := ... // if another thing we want to buy on happens // longentry3 := ... //All the buy entries go above, this last variable is what the function puts out // if you add more entries, add them in the following list too makelong_funct := longentry1 or longentry2 or longentry3 or longentry4 or longentry5 //Declaring function wit the short entries OPENSHORT_funct() => // You can add more buy entries to the script shortentry1 = false shortentry2 = false shortentry3 = false shortentry4 = false shortentry5 = false makeshort_funct = false if close>bbsell and krsi>sellRSI // You could for instance add "and shortday < longday" shortentry1 := close<close[1] // shortentry2 := ... // if another thing we want to buy on happens // shortentry3 := ... //All the buy entries go above, this last variable is what the function puts out // if you add more entries, add them in the following list too makeshort_funct := shortentry1 or shortentry2 or shortentry3 or shortentry4 or shortentry5 //Declaring function with the long exits CLOSELONG_funct() => // You can add more buy entries to the script longexit1 = false longexit2 = false longexit3 = false longexit4 = false longexit5 = false closelong_funct = false if close>bbsell and krsi>sellRSI longexit1 := close<close[1] // longexit2 := ... // if another thing we want to close on on happens you can add them here... // longexit3 := ... //All the buy entries go above, this last variable is what the function puts out // if you add more exits, add them in the following list too closelong_funct := longexit1 or longexit2 or longexit3 or longexit4 or longexit5 //Declaring function wit the short exits CLOSESHORT_funct() => // You can add more buy entries to the script shortexit1 = false shortexit2 = false shortexit3 = false shortexit4 = false shortexit5 = false closeshort_funct = false if close<bbsell and krsi<sellRSI shortexit1 := close>close[1] // shortexit2 := ... // if another thing we want to close on on happens you can add them here... // shortexit3 := ... //All the buy entries go above, this last variable is what the function puts out // if you add more exits, add them in the following list too closeshort_funct := shortexit1 or shortexit2 or shortexit3 or shortexit4 or shortexit5 ///////////////////////////////////////////////////////////////////////////////////// ////////////// End of "entries" and "exits" definition code ///////////////////////// ///////////////////////////////////////////////////////////////////////////////////// /// In the fourth part we do the actual work, as defined in the part before this //// ////////////////////// This part does not need to be changed //////////////////////// ///////////////////////////////////////////////////////////////////////////////////// //OPEN LONG LOGIC makelong = false //buy with backtesting on specific dates if Backtestdate > 0 and testPeriod() if (longs < 1 and shorts < 1) or (short > 0 and enable_flipping > 0 and enable_shorts > 0) makelong := OPENLONG_funct() //buy without backtesting on specific dates if Backtestdate < 1 if (longs < 1 and shorts < 1) or (short > 0 and enable_flipping > 0 and enable_shorts > 0) makelong := OPENLONG_funct() if makelong buyprice := close scaler := close longs := 1 shorts := 0 //OPEN SHORT LOGIC makeshort = false //buy with backtesting on specific dates if Backtestdate > 0 and testPeriod() if (shorts < 1 and longs < 1 and enable_shorts > 0) or (longs > 0 and enable_flipping > 0 and enable_shorts > 0) makeshort := OPENSHORT_funct() //buy without backtesting on specific dates if Backtestdate < 1 if (shorts < 1 and longs < 1 and enable_shorts > 0) or (longs > 0 and enable_flipping > 0 and enable_shorts > 0) makeshort := OPENSHORT_funct() if makeshort buyprice := close scaler := close shorts := 1 longs := 0 //Calculating values for traling stop if longs > 0 and enable_flipping < 1 if close > scaler+Trail_ATR and enable_trailing_ATR > 0 scaler := close if close > scaler * (1.0 + selltrailingfinal) and enable_trailing_ATR < 1 scaler := close if shorts > 0 and enable_flipping < 1 if close < scaler-Trail_ATR and enable_trailing_ATR > 0 scaler := close if close < scaler * (1.0 - selltrailingfinal) and enable_trailing_ATR < 1 scaler := close long_exit = false long_security1 = false long_security2 = false long_security3 = false //CLOSE LONG LOGIC if longs > 0 and enable_flipping < 1 if ( (buyprice + (buyprice*sellproffinal) + atr + oc2) < close) and ( (buyprice + (buyprice*sellproffinal) ) < profit) long_exit := CLOSELONG_funct() //security if enable_stoploss > 0 long_security1 := close < ( buyprice * (1.0 - sellstoplossfinal) ) if enable_trailing > 0 and enable_trailing_ATR < 1 long_security2 := close < ( scaler * (1.0 - selltrailingfinal) ) if enable_trailing > 0 and enable_trailing_ATR > 0 long_security2 := close < ( scaler - Trail_ATR) //CLOSE LONG LOGIC if longs > 0 and enable_flipping > 0 //security if enable_stoploss > 0 long_security1 := close < ( buyprice * (1.0 - sellstoplossfinal) ) if enable_trailing > 0 and enable_trailing_ATR < 1 long_security2 := close < ( scaler * (1.0 - selltrailingfinal) ) if enable_trailing > 0 and enable_trailing_ATR > 0 long_security2 := close < ( scaler - Trail_ATR) closelong = long_exit or long_security1 or long_security2 or long_security3 short_exit = false short_security1 = false short_security2 = false short_security3 = false if closelong longs := 0 //CLOSE SHORT LOGIC if shorts > 0 and enable_flipping < 1 if ( (buyprice - (buyprice*(sellproffinal) - atr - oc2) > close) and ( (buyprice - (buyprice*sellproffinal) ) > profit) ) short_exit := CLOSESHORT_funct() //security if enable_stoploss > 0 short_security1 := close > ( buyprice * (1.0 + sellstoplossfinal) ) if enable_trailing > 0 and enable_trailing_ATR < 1 short_security2 := close > ( scaler * (1.0 + selltrailingfinal) ) if enable_trailing > 0 and enable_trailing_ATR > 0 short_security2 := close > ( scaler + Trail_ATR) if shorts > 0 and enable_flipping > 0 //security if enable_stoploss > 0 short_security1 := close > ( buyprice * (1.0 + sellstoplossfinal) ) if enable_trailing > 0 and enable_trailing_ATR < 1 short_security2 := close > ( scaler * (1.0 + selltrailingfinal) ) if enable_trailing > 0 and enable_trailing_ATR > 0 short_security2 := close > ( scaler + Trail_ATR) closeshort = short_exit or short_security1 or short_security2 or short_security3 if closeshort shorts := 0 /////////////////////////////////////////////////////////////////////////////////////// ///////////// The last section takes care of the alerts ////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////// plotshape(makelong, style=shape.arrowup) alertcondition(makelong, title="openlong", message="openlong") strategy.entry("BuyLONG", strategy.long, oca_name="DBCross", when= makelong, comment="Open Long") plotshape(makeshort, style=shape.arrowdown) alertcondition(makeshort, title="openshort", message="openshort") strategy.entry("BuySHORT", strategy.short, oca_name="DBCross", when= makeshort, comment="Open Short") plotshape(closelong, style=shape.arrowdown) alertcondition(closelong, title="closelong", message="closelong") strategy.close("BuyLONG", when=closelong) plotshape(closeshort, style=shape.arrowup) alertcondition(closeshort, title="closeshort", message="closeshort") strategy.close("BuySHORT", when=closeshort)