Diese Strategie ist eine Momentum-Handelsstrategie, die auf mehreren technischen Indikatoren basiert. Die Strategie verwendet Bollinger-Bänder, RSI, ATR und andere technische Indikatoren, um ein Multifaktormodell zu implementieren, um den Einstieg schnell zu beurteilen, wenn ein Trend auftritt. Gleichzeitig verwendet die Strategie auch Stop Loss, Advanced Stop Profit und andere Risikokontrollmittel, um Risiken effektiv zu kontrollieren.
Die Handelssignale dieser Strategie stammen hauptsächlich aus Bollinger Bands. Wenn der Preis sich der unteren Schiene der Bollinger Bands nähert, ist er bullisch, und wenn der Preis sich der oberen Schiene nähert, ist er bärisch. Um falsche Ausbrüche zu filtern, enthält die Strategie zusätzlich RSI-Indikatorregeln. Nur wenn der RSI-Indikator auch bestätigt, dass er sich derzeit im Überkauf- oder Überverkaufsgebiet befindet, wird ein Handelssignal generiert.
Darüber hinaus wird der ATR-Indikator in der Strategie verwendet, um Stop-Loss und Take-Profit zu implementieren. Insbesondere wird beim Öffnen einer Position ein Kaufpreis aufgezeichnet. Danach werden Trailing-Stops auf Basis des ATR-Indikatorwerts verwendet, um Gewinne zu erzielen und Risiken effektiv zu kontrollieren.
Der größte Vorteil dieser Strategie besteht darin, dass sie durch die Verwendung eines Multifaktormodells zur Synthese des Marktes die strukturellen Chancen auf dem Markt effektiv beurteilen kann. Dies vermeidet falsche Signale aus einem einzigen Indikator. Gleichzeitig kann der integrierte Stop-Loss- und der fortschrittliche Stop-Profit-Mechanismus der Strategie auch Risiken effektiv kontrollieren und übermäßige Verluste vermeiden.
Das größte Risiko dieser Strategie besteht darin, dass bei einer gewaltsamen Umkehr des Marktes die Wahrscheinlichkeit, dass mehrere Indikatoren gleichzeitig falsche Signale erzeugen, relativ groß ist. Dies wird zu erheblichen Verlusten für die Strategie führen. Darüber hinaus kann es auch der allgemeine Konsens des Marktes sein, der anfällig für Herdeeffekte ist und somit gefangen wird.
Um diese Risiken zu reduzieren, können wir die Parameter angemessen anpassen und klarere Signale auswählen. Gleichzeitig können mehr Filterbedingungen hinzugefügt werden, um falsche Trades in der Nähe von Markttops und -bottons zu vermeiden.
Die Strategie kann in folgenden Richtungen optimiert werden:
Mehr technische Indikatoren hinzufügen, um ein mehr dreidimensionales Multifaktormodell zu bilden, um die Richtigkeit der Beurteilung zu verbessern
Optimierung der Stop-Loss-Logik und Wahl verschiedener Stop-Loss-Strategien je nach Marktstadien
Verwendung von maschinellem Lernen und anderen Technologien zur dynamischen Optimierung von Parametern und Bewertung der Signalzuverlässigkeit
Einbeziehung von Industrie, Konzepten und anderen Informationen zu einem eingebetteten Multifaktormodell
Durch die vernünftige Anwendung der Idee eines Multifaktormodells erfasst diese Strategie die Richtung des Trends sehr gut. Gleichzeitig ermöglichen wissenschaftliche Risikokontrollmaßnahmen auch, dass die Strategie in kontrollierbarer Weise profitiert. Durch kontinuierliche Optimierung wird erwartet, dass die Stabilität und Rentabilität der Strategie weiter verbessert werden.
/*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)