Dies ist eine zweiräumige Handelsstrategie, die den RSI-Indikator und den SuperTrend-Indikator umfassend nutzt. Die Strategie zielt darauf ab, die Stärke und Schwäche des Marktes zu identifizieren und bei Veränderungen der Trendrichtung rechtzeitig zu wechseln, um höhere Renditen zu erzielen.
Die Strategie beruht hauptsächlich auf folgenden Grundsätzen:
Über 50 RSI zeigt einen starken Markt an und unter 50 einen schwachen.
Der SuperTrend-Indikator dient als Trendfilter. Handelssignale werden nur ausgelöst, wenn der Preis die SuperTrend-Linien durchbricht.
Wenn der RSI ein starkes Signal gibt, gehen Sie lang, wenn der Preis über das obere Band bricht, und schließen Sie die Position, wenn er unter das untere Band bricht.
Wenn der RSI ein schwaches Signal gibt, gehen Sie kurz, wenn der Preis unter das untere Band bricht, und schließen Sie die Position, wenn er über das obere Band bricht.
Erfassen Sie Wendepunkte, indem Sie die RSI-Übergänge zwischen Long und Short überwachen und rechtzeitig die Position wechseln.
Berechnen Sie die RSI-Werte mit einer Länge von 14, wobei 50 als Schwelle für Stärke/Schwäche verwendet wird.
Berechnen Sie den SuperTrend mit einer Länge von 10 und einem Multiplikator von 2.
Gehen Sie lang, wenn der RSI über 50 steigt und der Preis über dem oberen Band von SuperTrend bricht.
Wenn der RSI schwach wird und der Preis unter den oberen Bereich fällt, schließt man die Long-Position.
Konfigurierbar für nur lange oder nur kurze Modi.
Diese Strategie kombiniert Trendverfolgung und Überkauf-/Überverkaufsanalyse und weist folgende Vorteile auf:
Kann Trendänderungen rechtzeitig erfassen und unnötige Einträge vermeiden.
Der RSI identifiziert effektiv Überkauf-/Überverkaufszonen, um Höhen und Tiefen zu vermeiden.
SuperTrend filtert Marktlärm gut aus und verfolgt mittelfristige Trends.
Die Kombination von RSI und SuperTrend verbessert die Stabilität.
Die Strategie bietet einen großen Parameter-Tuning-Raum für verschiedene Produkte und Zeitrahmen.
Unterstützt nur lange/nur kurze Modi, um unterschiedliche Marktbedingungen flexibel zu bewältigen.
Diese Strategie birgt auch einige Risiken:
RSI kann leicht falsche Signale erzeugen, die eine Preisbestätigung erfordern.
Schlechte SuperTrend-Parameter können zu verpassten Trades oder Verfolgungen führen.
Bei der Kombination zweier Indikatoren besteht das Risiko einer Abweichung.
Der Stopp-Loss kann bei extremer Volatilität sofort getätigt werden.
Vermeiden Sie Umkehrpositionen in der Nähe wichtiger Unterstützungs-/Widerstandswerte.
Die Strategie kann in folgenden Bereichen weiter optimiert werden:
Anpassen der RSI-Parameter, um die optimale Länge für das Filtern falscher Signale zu finden.
Optimieren Sie die SuperTrend-Parameter für eine bessere Trendverfolgungsfähigkeit.
Verschiedene Parameterkombinationen an verschiedenen Produkten und Zeitrahmen testen, um das Optimum zu finden.
Hinzufügen anderer Indikatoren wie MACD, KDJ, um die Signalgenauigkeit zu verbessern.
Hinzufügen der Analyse der wichtigsten Unterstützung/Widerstand, Bollinger-Bänder, gleitende Durchschnitte usw. zur Qualifizierung der Strategie-Signale.
Optimieren Sie die Stop-Loss-Strategie, um das Stoppen zu reduzieren und gleichzeitig die Wirksamkeit zu erhalten.
Diese Strategie integriert die Stärken von RSI und SuperTrend, um mittelfristige Trendveränderungen zwischen Bullen- und Bärenmärkten effektiv zu identifizieren. Die Strategie ist mit klarer Logik einfach umzusetzen und hat einen starken praktischen Wert. Mit Parameter-Tuning kann sie sich an mehr Marktbedingungen anpassen. Häufige Probleme wie falsche Signale und schlechte Parameter müssen beachtet werden. Insgesamt ist dies eine solide Trendstrategie.
/*backtest start: 2023-01-01 00:00:00 end: 2023-11-02 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ //@version=5 //Created by @CITIAlgo // ————————————————————————————————————————————————————————————————————————————————————————————————————————— strategy('CITI Trends A with RSI Candles', shorttitle = "CITI Trends A" , overlay = true , initial_capital = 10000, commission_value = 0.025, default_qty_value = 25, slippage = 1, pyramiding = 0, max_lines_count = 500, max_labels_count = 500, currency = currency.USD, default_qty_type = strategy.percent_of_equity) bullColor1 = #089981 bearColor1 = #f23645 bullColor2 = #3873e3 bearColor2 = #630ef5 neutralColor1 = #d5d5d5 //Base Settings groupBase = "Base Settings ---------------------------------------" Repaint_type = input.string('Non-Repainting', "Allow Repainting ?", options = ['Non-Repainting', 'Repainting'], inline ='repaint' , group = groupBase , tooltip = 'The default value is Non-Repainting. To learn more visit https://www.tradingview.com/pine-script-docs/en/v5/concepts/Repainting.html') //Configure trade direction tradeDirection = input.string("Both", title="Trade Direction", options=["Long", "Short", "Both"] , group=groupBase , inline = 'Type' ) longOK = tradeDirection == "Long" or tradeDirection == "Both" shortOK = tradeDirection == "Short" or tradeDirection == "Both" var bool PlotEntries = input.bool (true, "Show Entries" ,group=groupBase , inline = 'Signals' ) var bool PlotExits = input.bool (true, "Show Exits" , group=groupBase, inline = 'Signals' ) //Display Settings groupDisplay = "Display Settings ------------------------------------" MomBars = input.bool( true , title="Apply Bar Colors", inline = 'candles' , group=groupDisplay) cbullColor = input.color( bullColor1 , 'Candle Colors' , inline = 'candles1a',group=groupDisplay) cbearColor = input.color( bearColor1 , '' , inline = 'candles1a',group=groupDisplay) //Candle & label Colors Bullish_Bars = color.new( cbullColor , 0) WBullish_Bars = color.new( cbullColor , 60) Bearish_Bars = color.new( cbearColor , 0) WBearish_Bars = color.new( cbearColor , 60) lbullColor = input.color( bullColor1 , 'Long/Short Labels' , group=groupDisplay, inline = 'Signals1' ) lbearColor = input.color( bearColor1 , '' , group=groupDisplay, inline = 'Signals1' ) st_status = input.bool( true , title="Show Supertrend", inline = 'st' , group=groupDisplay) st_bullColor = input.color( bullColor1 , '' , group=groupDisplay, inline = 'st' ) st_bearColor = input.color( bearColor1 , '' , group=groupDisplay, inline = 'st' ) //Build Your Signals Settings groupEntry = " Trend & Signal Settings---------------------" Entry1a = input.bool(true, title= "Entry", inline='entry1a', group=groupEntry) Exit1a = input.bool(false, title= "Exit | Strong/Weak Momentum", inline='entry1a', group=groupEntry) Entry1b = input.bool(false, title= 'Entry' , inline='entry1b', group=groupEntry) Exit1b = input.bool(false, title= 'Exit | Bull/Bear Momentum' , inline='entry1b', group=groupEntry) Entry3a = input.bool(false, title= "Filter", inline='entry3a', group=groupEntry) Exit3a = input.bool(false, title= "Exit | MA ", inline='entry3a', group=groupEntry) Entry4a = input.bool(false, title= "Filter | Disable RSI Ranges ", inline='entry4a', group=groupEntry) Entry4b = input.bool(true, title= "Filter", inline='entry4b', group=groupEntry) Exit4b = input.bool(true, title= "Exit | Supertrend ", inline='entry4b', group=groupEntry) Entry4c = input.bool(true, title= "Filter | Disable Supertrend Ranges ", inline='entry4c', group=groupEntry) // —————————————————————————————————————MTF FUNCTIONS // —————————— PineCoders MTF Selection Framework functions // ————— Converts current "timeframe.multiplier" plus the TF into minutes of type float. f_resInMinutes() => _resInMinutes = timeframe.multiplier * (timeframe.isseconds ? 1. / 60. : timeframe.isminutes ? 1. : timeframe.isdaily ? 1440. : timeframe.isweekly ? 10080. : timeframe.ismonthly ? 43800. : na) _resInMinutes // Get current resolution in float minutes. var ResInMinutes = f_resInMinutes() // ————— Returns resolution of _resolution period in minutes. f_tfResInMinutes(_res) => // _res: resolution of any TF (in "timeframe.period" string format). request.security(syminfo.tickerid, _res, f_resInMinutes()) // ————— Returns a multiple of current resolution as a string in "timeframe.period" format usable with "security()". f_multipleOfRes(_res, _mult) => // _res: current resolution in minutes, in the fractional format supplied by f_resInMinutes() companion function. // _mult: Multiple of current TF to be calculated. // Convert current float TF in minutes to target string TF in "timeframe.period" format. _targetResInMin = _res * math.max(_mult, 1) // Find best string to express the resolution. _targetResInMin <= 0.083 ? '5S' : _targetResInMin <= 0.251 ? '15S' : _targetResInMin <= 0.501 ? '30S' : _targetResInMin <= 1440 ? str.tostring(math.round(_targetResInMin)) : _targetResInMin <= 43800 ? str.tostring(math.round(math.min(_targetResInMin / 1440, 365))) + 'D' : str.tostring(math.round(math.min(_targetResInMin / 43800, 12))) + 'M' // ————— Converts current resolution f_resInString(_res) => // _res: resolution of any TF (in "timeframe.period" string format). _res == "1" ? "1m" : _res == "3" ? "3m" : _res == "5" ? "5m" : _res == "15" ? "15m" : _res == "30" ? "30m" : _res == "45" ? "45m" : _res == "60" ? "1h" : _res == "120" ? "2h" : _res == "180" ? "3h" : _res == "240" ? "4h" : _res == "1D" ? "D" : _res == "1W" ? "W" : _res == "1M" ? "M" : _res //Set repaint security function repaint_sw = Repaint_type == 'Non-Repainting' ? false : true f_security(_symbol, _res, _src, _repaint) => request.security(_symbol, _res, _src[_repaint ? 0 : barstate.isrealtime ? 1 : 0] , barmerge.gaps_off, barmerge.lookahead_on)[_repaint ? 0 : barstate.isrealtime ? 0 : 1] f_source(_res , source) => f_security(syminfo.tickerid , _res , source , repaint_sw ) Type1 = 'Auto Multiplied TF' Type2 = 'Fixed TF' //--------------------------------------------------------------------------- //RSI Settings // INPUTS groupRange = "RSI Settings ----------------------------------" TF1type = input.string( Type1, 'TF' , options=[Type1,Type2] , inline ='tf1' , group=groupRange) setHTF1a = input.int( 4 , '' , inline ='tf1', group=groupRange) setHTF1b = input.timeframe( 'D' , '' , inline ='tf1', group=groupRange) // Get HTF from user-defined mode. var TF1 = TF1type == Type1 ? f_multipleOfRes(ResInMinutes, setHTF1a) : setHTF1b mLength = input.int( 14 , "RSI Length" ,inline='lines', group=groupRange) BullLevel = input.int( 50 , "Bullish Level | Above 50 ",inline='lines1a', group=groupRange) BearLevel = input.int( 50 , "Bearish Level | Below 50 ",inline='lines1b', group=groupRange) ma_length = input.int( 21 , "MA Length" ,inline='ma', group=groupRange) ma_status = input.bool( true , "Show MA" ,inline='ma1', group=groupRange) ma_bullColor = input.color( bullColor1 , '' , inline='ma1', group=groupRange) ma_bearColor = input.color( bearColor1 , '' , inline='ma1', group=groupRange) //-------------------------------------------------------------------------- //Momentum Calculations f_momTF( _tf ) => _isShow = f_tfResInMinutes(_tf) >= f_resInMinutes() close_ = f_source(_tf , close) rsi_ = _isShow ? f_security(syminfo.tickerid , _tf, ta.rsi( close_, mLength) , repaint_sw) : na ma = _isShow ? f_security(syminfo.tickerid , _tf, ta.vwma( hlc3 , ma_length ) , repaint_sw) : na [rsi_ , ma] [ rsi , ma ] = f_momTF(TF1) ma_color = close > ma ? ma_bullColor : ma_bearColor plot( ma_status ? ma : na , color = ma_color , linewidth = 2 , style = plot.style_line) //--------------------------------------------------------------------------- //Supertrend Settings // INPUTS groupST = "Supertrend Settings ----------------------------------" TF2type = input.string( Type1, 'TF' , options=[Type1,Type2] , inline ='tf2' , group=groupST) setHTF2a = input.int( 4 , '' , inline ='tf2', group=groupST) setHTF2b = input.timeframe( 'D' , '' , inline ='tf2', group=groupST) // Get HTF from user-defined mode. var TF2 = TF2type == Type1 ? f_multipleOfRes(ResInMinutes, setHTF2a) : setHTF2b stLength = input.int( 10 , "Supertrend Length" ,inline='lines', group=groupST) stmult = input.int( 2 , "Mult" ,inline='lines', group=groupST) stHighlights = input.bool( true , "Highlights",inline='lines1a', group=groupST) f_st( _tf) => _isShow = f_tfResInMinutes(_tf) >= f_resInMinutes() close_ = f_source(_tf , close) atr= f_security(syminfo.tickerid , _tf, ta.atr(stLength) , repaint_sw) Up=close_ -(stmult*atr) Dn=close_ +(stmult*atr) TrendUp = 0.0 TrendUp := close_[1]>TrendUp[1] ? math.max(Up,TrendUp[1]) : Up TrendDown = 0.0 TrendDown := close_[1]<TrendDown[1]? math.min(Dn,TrendDown[1]) : Dn Trend = 0.0 Trend := close_ > TrendDown[1] ? 1: close_< TrendUp[1]? -1: nz(Trend[1],1) stLine = Trend==1? TrendUp: TrendDown [Trend, stLine] [Trend, stLine] = f_st( TF2 ) stTrend = close > stLine ? 1:-1 stplot = plot( st_status? stLine : na , color= stTrend ==1 ? st_bullColor : st_bearColor , linewidth=1 ,title ="Supertrend") priceLineP = plot( close , color= na , linewidth=1 , display = display.none) fill(priceLineP , stplot , color = stHighlights ? stTrend ==1 ? color.new(st_bullColor , 85) : color.new( st_bearColor , 85 ) : na ) //--------------------------------------------------------------------------- //Momentum BarColors mom2a = rsi > BullLevel ? Bullish_Bars : WBullish_Bars mom2b = rsi < BearLevel ? Bearish_Bars : WBearish_Bars mom2_color = close > ma ? mom2a : mom2b mom_color = MomBars ? mom2_color : na barcolor(mom_color) //------------------------------------------------- //Momentum Strength & Values momVal2a = rsi > BullLevel ? 2 : 1 momVal2b = rsi < BearLevel ? -2 : -1 momVal2 = close > ma ? momVal2a : momVal2b momVal = momVal2 ///============================================================================================================== //Long Trend Conditions Entry1aL = Entry1a ? momVal == 2 : true Entry1bL = Entry1b ? momVal == 1 or momVal == 2 : true Entry3aL = Entry3a ? close > ma : true Entry4aL = Entry4a ? rsi > BullLevel : true Entry4bL = Entry4b ? close > stLine : true Entry4cL = Entry4c ? stLine > stLine[1] : true //------ noEntry = Entry1a == false and Entry1b == false and Entry3a == false and Entry4a == false and Entry4b == false and Entry4c == false ? false : true noExit = Exit1a == false and Exit1b == false and Exit3a == false and Exit4b == false ? false : true //------ EntryL = noEntry and Entry1aL and Entry1bL and Entry3aL and Entry4aL and Entry4bL and Entry4cL Exit1aL = Exit1a ? momVal == 1 and momVal[1] == 2 : true Exit1bL = Exit1b ? momVal == -1 or momVal == -2 : true Exit3aL = Exit3a ? close < ma : true Exit4bL = Exit4b ? close < stLine : true ExitL = noExit and Exit1aL and Exit3aL and Exit1bL and Exit4bL //Short Trend Conditions Entry1aS = Entry1a ? momVal == -2 : true Entry1bS = Entry1b ? momVal == -1 or momVal == -2 : true Entry3aS = Entry3a ? close < ma : true Entry4aS = Entry4a ? rsi < BearLevel : true Entry4bS = Entry4b ? close < stLine : true Entry4cS = Entry4c ? stLine < stLine[1] : true EntryS = noEntry and Entry1aS and Entry1bS and Entry3aS and Entry4aS and Entry4bS and Entry4cS Exit1aS = Exit1a ? momVal == -1 and momVal[1] == -2 : true Exit1bS = Exit1b ? momVal == 1 or momVal == 2 : true Exit3aS = Exit3a ? close > ma : true Exit4bS = Exit4b ? close > stLine : true ExitS = noExit and Exit1aS and Exit3aS and Exit1bS and Exit4bS ///============================================================================================================== //Entry & exit conditions isLong = false isLong := nz(isLong[1], false) isShort = false isShort := nz(isShort[1], false) goLong = not isLong and EntryL and not ExitL and longOK and barstate.isconfirmed goShort = not isShort and EntryS and not ExitS and shortOK and barstate.isconfirmed longExit = isLong and ExitL and barstate.isconfirmed shortExit = isShort and ExitS and barstate.isconfirmed if (goLong) isLong := true isShort := false if (goShort) isLong := false isShort := true if (longExit) isLong := false if (shortExit) isShort := false //------------------------------------------------------------------------------ // ——Backtester grouptime = 'Step 5 - 📆 Time Filter 📆-------------' startTime = input (group=grouptime, title="Start Timeㅤㅤ", defval=timestamp('UTC 01 Jan 2020 00:00'), inline="Start") endTime = input (group=grouptime, title="End Time ㅤ ㅤ", defval=timestamp('UTC 31 Dec 2025 23:45'), inline="End") dateRange = true //------------------------------------------------------------------------------ // Risk Managment grouprisk = 'Step 6 - Risk Management-------------' takeprofit = input.bool(true,title = "TP Price %",group=grouprisk, inline="profit") tppercent = input.float(1, '', group=grouprisk, inline="profit") / 100 q1 = input.int (5 , "Quantity %",group=grouprisk , inline="profit") stoploss = input.bool(false,title = "SL Price %",group=grouprisk, inline="loss") stoppercent = input.float(5, '', group=grouprisk, inline="loss") / 100 // Determine where you've entered and in what direction longtp = strategy.position_avg_price * (1 + tppercent) longStop = strategy.position_avg_price * (1 - stoppercent) shorttp = strategy.position_avg_price * (1 - tppercent) shortStop = strategy.position_avg_price * (1 + stoppercent) QTYMethod = input.string ('EQUITY', 'Order Size', group=grouprisk, inline=' ', options=['NONE', 'EQUITY', 'SIZE', 'CONTRACTS']) useNetProfit = input.bool (true, 'Use Net Profit', group=grouprisk, inline=' ', tooltip='Use Net Profit- On/Off the use of profit in the following trades. *Only works if the type is EQUITY') riskPerc = input.int (30, '🇪🇶🇺🇮🇹🇾 %', group=grouprisk, inline='.', minval=1, maxval=100) riskSize = input.int (10000, '🇸🇮🇿🇪', group=grouprisk, inline='.', minval=1) riskCntr = input.int (1, '🇨🇴🇳🇹🇷🇦🇨🇹🇸', group=grouprisk, inline='.', minval=1, tooltip='Order Size: \nNone- Use the default position size settings in Tab "Properties". \nEquity% - per trade from the initial capital. \nSize- Fixed size amount of trade. \nContracts- The fixed amount of the deal in contracts. \n') // —————— Order Size eqty = switch QTYMethod 'NONE' => na 'EQUITY' => riskPerc / close 'SIZE' => riskSize / close 'CONTRACTS' => riskCntr //----------------------------------------------------------------------------- // —————— Trade variables entry = strategy.position_avg_price sizePos = strategy.position_size inLong = sizePos > 0 inShort = sizePos < 0 inTrade = inLong or inShort inPos = (inLong and not inShort[1]) or (inShort and not inLong[1]) var ID = 'TradeID' var tpPrice = float(na) var slPrice = float(na) ///============================================================================================================== // ALERTS groupalerts = 'Step 7 - Alerts & Bot Trading Settings-------------' broker = input.string('Binance', "Broker", options=['Binance', 'Alpaca', 'Kucoin', '3Commas'], group=groupalerts, tooltip = 'Choose which type you are using to send the correct Json Alert message for entry and exit alerts.') my_sym = input("FTMM/USDT", "Ticker", group = 'Cloud Function Server', tooltip = 'Only used with Alerts to fix ticker ID in json message. Some exchanges use the forward slash and some do not.') my_pass = input('Passphrase', "Passphrase" , group = 'Cloud Function Server', tooltip = 'Only enter your Passphrase and nothing else goes here. Only needed when using a Cloud Function Server.') i_alert_3CID_txt = input('Bot ID', "Bot ID", group =groupalerts, tooltip = 'Only enter your 3Commas Bot ID and nothing else goes here.') i_alert_3CET_txt = input('Bot Email Token', title = 'Bot Email Token', group =groupalerts , tooltip = 'Only enter your 3Commas Bot Email Token and nothing else goes here.') Alert='{"passphrase": "'+str.tostring(my_pass)+'","symbol": "'+ str.tostring(my_sym) +'","type":"market", "side":"{{strategy.order.action}}","amount":"{{strategy.order.contracts}}","price": "' + str.tostring(close) + '"}' //--------------------------------------------------------------------------------- // JSON alert message used for 3Commas Bots C3_EntryAlert ='{"message_type": "bot", "bot_id": ' + i_alert_3CID_txt + ', "email_token": "' + i_alert_3CET_txt + '", "delay_seconds": 0 }' C3_ExitAlert ='{"action": "close_at_market_price_all", "message_type": "bot", "bot_id": ' + i_alert_3CID_txt + ', "email_token": "' + i_alert_3CET_txt + '", "delay_seconds": 0}' //--------------------------------------------------------------------------------- // JSON alert message used for setting up a Google Cloud Function Server works when using Alpaca Exchange Alert_Alpaca = '{"symbol": "{{ticker}}", "quantity": "{{strategy.order.contracts}}", "side": "{{strategy.order.action}}", "order_type": "market", "time_in_force": "gtc", "passphrase": "' + str.tostring(my_pass) + '"}' entryAlert = broker == 'Binance' ? Alert : broker == 'Alpaca' ? Alert_Alpaca : broker == 'Kucoin' ? Alert : C3_EntryAlert exitAlert = broker == 'Binance' ? Alert : broker == 'Alpaca' ? Alert_Alpaca : broker == 'Kucoin' ? Alert : C3_ExitAlert strategy.initial_capital = 50000 // —————— Entry's goLongEntry = goLong and dateRange and barstate.isconfirmed goShortEntry = goShort and dateRange and barstate.isconfirmed eqty(qty) => QTYMethod=='EQUITY' ? qty / 100 * (strategy.initial_capital + (useNetProfit ? strategy.netprofit : 0)) : QTYMethod=='SIZE' ? qty / syminfo.pointvalue : qty if goLongEntry ID := 'Long' strategy.entry(ID, strategy.long, qty=eqty(eqty), comment=ID, alert_message = entryAlert) if goShortEntry ID := 'Short' strategy.entry(ID, strategy.short, qty=eqty(eqty), comment=ID, alert_message = entryAlert) // —————— Exit's qty(perc) => math.abs(sizePos*perc/100) if longExit strategy.close("Long",comment='X', alert_message= exitAlert) strategy.exit ("exit1", from_entry="Long", limit=takeprofit ? longtp : na, stop=stoploss ? longStop : na, comment_profit='TP', comment_loss='SL', qty_percent=q1) strategy.exit ("exit2", from_entry="Long", stop=stoploss ? longStop : na, comment_loss='SL') if shortExit strategy.close("Short",comment='X', alert_message= exitAlert) strategy.exit ("exit1", from_entry="Short", limit=takeprofit ? shorttp : na, stop=stoploss ? shortStop : na, comment_profit='TP', comment_loss='SL', qty_percent=q1) strategy.exit ("exit2", from_entry="Short", stop=stoploss ? shortStop : na, comment_loss='SL') ///============================================================================================================== //Style- Plots on Chart posH = high + 2 * stLine posL = low - 2 * stLine plotshape( goLong and PlotEntries ? posL : na ,'Long Entry Signals' , text= '' , location=location.belowbar, style=shape.labelup , size=size.small , color=lbullColor , textcolor = color.white ) plotshape( longExit and PlotExits ? posH : na ,'Long Exit' , location=location.abovebar, style= shape.xcross , size=size.small, color=lbullColor ) plotshape( goShort and PlotEntries ? posH : na ,'Short Entry Signals' , text= '' , location=location.abovebar, style=shape.labeldown , size=size.small , color=lbearColor , textcolor = color.white ) plotshape( shortExit and PlotExits ? posL : na ,'Short Exit' , location=location.belowbar, style=shape.xcross , size=size.small , color=lbearColor ) ///============================================================================================================== // Alerts alertcondition( goLong , 'Long Entry Alerts', 'Long Alerts') alertcondition( goShort , 'Short Entry Alerts', 'Short Alerts')