Cette stratégie est un système de trading Martingale basé sur les indicateurs MACD et KDJ, combinant le dimensionnement des positions pyramidales et la gestion dynamique des profits / pertes. La stratégie détermine le moment d'entrée par le biais de croisements d'indicateurs, utilise la théorie de Martingale pour la gestion des positions et améliore les rendements par pyramidalité sur les marchés tendance.
La logique de base se compose de quatre éléments clés: signaux d'entrée, mécanisme d'ajout de position, gestion de profit/perte et contrôle des risques. Les signaux d'entrée sont basés sur la convergence de la ligne MACD traversant la ligne de signal et de la ligne %D de KDJ
La stratégie construit un système de trading quantitatif complet en combinant des indicateurs techniques classiques avec des méthodes de gestion de position avancées. Ses principaux avantages résident dans la fiabilité du signal et le contrôle complet des risques, tout en maintenant une forte adaptabilité grâce à la paramétrisation. Bien que des risques inhérents existent, l'optimisation et l'amélioration continues permettent à la stratégie de maintenir une performance stable dans différents environnements de marché.
/*backtest start: 2024-11-04 00:00:00 end: 2024-12-04 00:00:00 period: 1h basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © aaronxu567 //@version=5 strategy("MACD and KDJ Opening Conditions with Pyramiding and Exit", overlay=true) // pyramiding // Setting initialOrder = input.float(50000.0, title="Initial Order") initialOrderSize = initialOrder/close //initialOrderSize = input.float(1.0, title="Initial Order Size") // Initial Order Size macdFastLength = input.int(9, title="MACD Fast Length") // MACD Setting macdSlowLength = input.int(26, title="MACD Slow Length") macdSignalSmoothing = input.int(9, title="MACD Signal Smoothing") kdjLength = input.int(14, title="KDJ Length") kdjSmoothK = input.int(3, title="KDJ Smooth K") kdjSmoothD = input.int(3, title="KDJ Smooth D") enableLong = input.bool(true, title="Enable Long Trades") enableShort = input.bool(true, title="Enable Short Trades") // Additions Setting maxAdditions = input.int(5, title="Max Additions", minval=1, maxval=10) // Max Additions addPositionPercent = input.float(1.0, title="Add Position Percent", minval=0.1, maxval=10) // Add Conditions reboundPercent = input.float(0.5, title="Rebound Percent (%)", minval=0.1, maxval=10) // Rebound addMultiplier = input.float(1.0, title="Add Multiplier", minval=0.1, maxval=10) // // Stop Setting takeProfitTrigger = input.float(2.0, title="Take Profit Trigger (%)", minval=0.1, maxval=10) // trailingStopPercent = input.float(0.3, title="Trailing Stop (%)", minval=0.1, maxval=10) // stopLossPercent = input.float(6.0, title="Stop Loss Percent", minval=0.1, maxval=10) // // MACD Calculation [macdLine, signalLine, _] = ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing) // KDJ Calculation k = ta.sma(ta.stoch(close, high, low, kdjLength), kdjSmoothK) d = ta.sma(k, kdjSmoothD) j = 3 * k - 2 * d // Long Conditions enterLongCondition = enableLong and ta.crossover(macdLine, signalLine) and ta.crossover(k, d) // Short Conditions enterShortCondition = enableShort and ta.crossunder(macdLine, signalLine) and ta.crossunder(k, d) // Records var float entryPriceLong = na var int additionsLong = 0 // 记录多仓加仓次数 var float nextAddPriceLong = na // 多仓下次加仓触发价格 var float lowestPriceLong = na // 多头的最低价格 var bool longPending = false // 多头加仓待定标记 var float entryPriceShort = na var int additionsShort = 0 // 记录空仓加仓次数 var float nextAddPriceShort = na // 空仓下次加仓触发价格 var float highestPriceShort = na // 空头的最高价格 var bool shortPending = false // 空头加仓待定标记 var bool plotEntryLong = false var bool plotAddLong = false var bool plotEntryShort = false var bool plotAddShort = false // Open Long if (enterLongCondition and strategy.opentrades == 0) strategy.entry("long", strategy.long, qty=initialOrderSize,comment = 'Long') entryPriceLong := close nextAddPriceLong := close * (1 - addPositionPercent / 100) additionsLong := 0 lowestPriceLong := na longPending := false plotEntryLong := true // Add Long if (strategy.position_size > 0 and additionsLong < maxAdditions) // Conditions Checking if (close < nextAddPriceLong) and not longPending lowestPriceLong := close longPending := true if (longPending) // Rebound Checking if (close > lowestPriceLong * (1 + reboundPercent / 100)) // Record Price float addQty = initialOrderSize*math.pow(addMultiplier,additionsLong+1) strategy.entry("long", strategy.long, qty=addQty,comment = 'Add Long') additionsLong += 1 longPending := false nextAddPriceLong := math.min(nextAddPriceLong, close) * (1 - addPositionPercent / 100) // Price Updates plotAddLong := true else lowestPriceLong := math.min(lowestPriceLong, close) // Open Short if (enterShortCondition and strategy.opentrades == 0) strategy.entry("short", strategy.short, qty=initialOrderSize,comment = 'Short') entryPriceShort := close nextAddPriceShort := close * (1 + addPositionPercent / 100) additionsShort := 0 highestPriceShort := na shortPending := false plotEntryShort := true // add Short if (strategy.position_size < 0 and additionsShort < maxAdditions) // Conditions Checking if (close > nextAddPriceShort) and not shortPending highestPriceShort := close shortPending := true if (shortPending) // rebound Checking if (close < highestPriceShort * (1 - reboundPercent / 100)) // Record Price float addQty = initialOrderSize*math.pow(addMultiplier,additionsShort+1) strategy.entry("short", strategy.short, qty=addQty,comment = "Add Short") additionsShort += 1 shortPending := false nextAddPriceShort := math.max(nextAddPriceShort, close) * (1 + addPositionPercent / 100) // Price Updates plotAddShort := true else highestPriceShort := math.max(highestPriceShort, close) // Take Profit or Stop Loss if (strategy.position_size != 0) float stopLossLevel = strategy.position_avg_price * (strategy.position_size > 0 ? (1 - stopLossPercent / 100) : (1 + stopLossPercent / 100)) float trailOffset = strategy.position_avg_price * (trailingStopPercent / 100) / syminfo.mintick if (strategy.position_size > 0) strategy.exit("Take Profit/Stop Loss", from_entry="long", stop=stopLossLevel, trail_price=strategy.position_avg_price * (1 + takeProfitTrigger / 100), trail_offset=trailOffset) else strategy.exit("Take Profit/Stop Loss", from_entry="short", stop=stopLossLevel, trail_price=strategy.position_avg_price * (1 - takeProfitTrigger / 100), trail_offset=trailOffset) // Plot plotshape(series=plotEntryLong, location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.small, title="Long Signal") plotshape(series=plotAddLong, location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, title="Add Long Signal") plotshape(series=plotEntryShort, location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, title="Short Signal") plotshape(series=plotAddShort, location=location.abovebar, color=color.orange, style=shape.triangledown, size=size.small, title="Add Short Signal") // Plot Clear plotEntryLong := false plotAddLong := false plotEntryShort := false plotAddShort := false // // table // var infoTable = table.new(position=position.top_right,columns = 2,rows = 6,bgcolor=color.yellow,frame_color = color.white,frame_width = 1,border_width = 1,border_color = color.black) // if barstate.isfirst // t1="Open Price" // t2="Avg Price" // t3="Additions" // t4='Next Add Price' // t5="Take Profit" // t6="Stop Loss" // table.cell(infoTable, column = 0, row = 0,text=t1 ,text_size=size.auto) // table.cell(infoTable, column = 0, row = 1,text=t2 ,text_size=size.auto) // table.cell(infoTable, column = 0, row = 2,text=t3 ,text_size=size.auto) // table.cell(infoTable, column = 0, row = 3,text=t4 ,text_size=size.auto) // table.cell(infoTable, column = 0, row = 4,text=t5 ,text_size=size.auto) // table.cell(infoTable, column = 0, row = 5,text=t6 ,text_size=size.auto) // if barstate.isconfirmed and strategy.position_size!=0 // ps=strategy.position_size // pos_avg=strategy.position_avg_price // opt=strategy.opentrades // t1=str.tostring(strategy.opentrades.entry_price(0),format.mintick) // t2=str.tostring(pos_avg,format.mintick) // t3=str.tostring(opt>1?(opt-1):0) // t4=str.tostring(ps>0?nextAddPriceLong:nextAddPriceShort,format.mintick) // t5=str.tostring(pos_avg*(1+(ps>0?1:-1)*takeProfitTrigger*0.01),format.mintick) // t6=str.tostring(pos_avg*(1+(ps>0?-1:1)*stopLossPercent*0.01),format.mintick) // table.cell(infoTable, column = 1, row = 0,text=t1 ,text_size=size.auto) // table.cell(infoTable, column = 1, row = 1,text=t2 ,text_size=size.auto) // table.cell(infoTable, column = 1, row = 2,text=t3 ,text_size=size.auto) // table.cell(infoTable, column = 1, row = 3,text=t4 ,text_size=size.auto) // table.cell(infoTable, column = 1, row = 4,text=t5 ,text_size=size.auto) // table.cell(infoTable, column = 1, row = 5,text=t6 ,text_size=size.auto)