Diese Strategie verwendet LazyBear
Der Exit-Mechanismus verwendet den höchsten/niedrigsten Preis der jüngsten N-Kerzen multipliziert mit einem konfigurierbaren Risiko-Rendite-Verhältnis, um den Stop-Loss und den Gewinn zu setzen.
Nach der Bestimmung der Haupttrendrichtung basierend auf dem Coral Trend-Indikator, wenn die Farbe des Indikators unverändert bleibt und der Preis einen kleinen Pullback in die entgegengesetzte Richtung zeigt.
Zu den Einreisebedingungen gehören:
Coral Trend-Indikator richtet sich in Übereinstimmung mit der Handelsrichtung (lang = grün, kurz = rot)
Seit dem letzten Mal, als der Preis den Coral Trend-Indikator vollständig durchbrach (der Höchstpunkt des letzten Balkens übersteigt die Coral Trend-Linie), gab es mindestens 1 Balken mit Tiefpunkten ganz oben (lang) oder Höchstpunkten ganz unten (kurz) der Coral Trend-Indikator
Ein kleiner Pullback tritt in die entgegengesetzte Richtung auf, wobei der Schlusskurs auf der gegenüberliegenden Seite des Korallentrends bleibt
Nach Beendigung des Pullbacks kehrt der Schlusskurs in die von Coral Trend angegebene Haupttrendrichtung zurück.
Dies sind die wichtigsten Voraussetzungen, wobei gleichzeitig der ADX-Indikator oder das Histogramm der absoluten Stärke und der HawkEye-Volumenindikator als Bestätigungsbedingungen für den Einstieg verwendet werden.
Der ADX-Indikator benötigt einen Wert von > 20 und steigt über den letzten 1 Bar und die Reihenfolge der grünen und roten Linien von DI entspricht der Handelsrichtung.
Das Histogramm der absoluten Stärke erfordert, dass seine Farbe mit der Handelsrichtung übereinstimmt (lang = blau, kurz = rot).
Der Exit-Mechanismus verwendet den höchsten/niedrigsten Preis der letzten N Kerzen multipliziert mit dem Risiko-Rendite-Verhältnis, um den Stop-Loss und den Gewinn zu setzen.
Der größte Vorteil dieser Strategie besteht darin, dass sie nach der Bestimmung der Haupttrendrichtung mithilfe des Coral Trend-Indikators Eingangsmöglichkeiten erkennt, indem sie Umkehrungen identifiziert und vermeidet, in nicht-trendigen Märkten herumzutreiben. Gleichzeitig kann die Verwendung des Confirm-Indikators viele falsche Ausbrüche filtern und so die Erfolgsrate des Eingangs verbessern.
Darüber hinaus bietet diese Strategie einen vollständigen Risikokontrollmechanismus, einschließlich der Festlegung der Stop-Loss-Größe und der Kontrolle des Risikopositionsprozentsatzes, so dass selbst wenn einzelne Geschäfte Geld verlieren, dies keinen erheblichen Einfluss auf das Gesamtkapital hat.
Das größte Risiko dieser Strategie besteht darin, dass die Verwendung von Indikatoren für das Einstiegsurteilen leicht Illusionen erzeugen kann, in der Annahme, dass Sie automatisch Geld verdienen können, indem Sie sich nur auf Parameterkonfigurationen verlassen.
Darüber hinaus muss die Einstellung von Stop-Loss und Take-Profit auch angemessen sein. Zu große Take-Profit-Multiplikatoren können dazu führen, dass Sie keinen Gewinn machen, während zu geringe Stop-Loss zu einem übermäßigen Risiko führen. Dies muss entsprechend der Volatilität der verschiedenen Produkte und der persönlichen Risikotoleranz festgelegt werden.
Zu den optimierbaren Richtungen dieser Strategie gehören:
Anpassung der Parameter des Korallen-Trend-Indikators, um ihn anfälliger für Preisänderungen verschiedener Produkte zu machen
Versuchen Sie verschiedene Bestätigen Sie Indikatoren oder Indikatorkombinationen, wie KDJ, MACD usw., um Eingangssignale genauer zu machen
Nach der Volatilität der verschiedenen Produkte die Berechnungsmethode für Stop-Loss und Take-Profit anpassen, um eine bessere Risikokontrolle zu erreichen
Hinzufügen eines Fondsverwaltungsmoduls zur Anpassung der einzelnen Auftragsmenge anhand der Anzahl der gehaltenen Positionen, wodurch die Gesamtabfälle wirksam kontrolliert werden
Hinzufügen eines Handelszeitsteuerungsmoduls, damit die Strategie nur in bestimmten Perioden ausgeführt wird, um Verluste in Zeiten extremer Volatilität zu vermeiden
Diese Strategie verwendet zuerst Coral Trend, um den mittelfristigen und langfristigen Preistrend zu bestimmen, und beurteilt dann seine Umkehrung, kombiniert mit Confirm-Signalen, um falsche Ausbrüche auszufiltern, um eine relativ zuverlässige Trend-Nachstrategie aufzubauen. Gleichzeitig ermöglichen die verbesserten Risikokontroll-Einstellungen auch, dass diese Strategie lange Zeit mit stabilem Kapital läuft.
/*backtest start: 2024-01-27 00:00:00 end: 2024-02-03 00:00:00 period: 3m basePeriod: 1m 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/ // © kevinmck100 // @description // // Strategy is taken from the TradeIQ YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto" // Check out the full video for further details/clarification on strategy entry/exit conditions. // // It incorporates the following features: // // - Risk management: Configurable X% loss per stop loss // Configurable R:R ratio // // - Trade entry: Conditions outlines below // // - Trade exit: Conditions outlined below // // - Backtesting: Configurable backtesting range by date // // - Trade drawings: TP/SL boxes drawn for all trades (can be turned on and off) // Trade exit information labels (can be turned on and off) // NOTE: Trade drawings will only be applicable when using overlay strategies // // - Debugging: Includes section with useful debugging techniques // // Strategy conditions: // // - Trade entry: LONG: C1: Coral Trend is bullish // C2: At least 1 candle where low is above Coral Trend since last cross above Coral Trend // C3: Pullback happens and price closes below Coral Trend // C4: Coral Trend colour remains bullish for duration of pullback // C5: After valid pullback, price then closes above Coral Trend // C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE): // C6.1: ADX and DI (Single indicator) // C6.1.1: Green line is above red line // C6.1.2: Blue line > 20 // C6.1.3: Blue trending up over last 1 candle // C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined) // C6.2.1: Absolute Strengeh Histogram colour is blue // C6.2.2: HawkEye Volume Indicator colour is green // SHORT: C1: Coral Trend is bearish // C2: At least 1 candle where high is below Coral Trend since last cross below Coral Trend // C3: Pullback happens and price closes above Coral Trend // C4: Coral Trend colour remains bearish for duration of pullback // C5: After valid pullback, price then closes below Coral Trend // C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE): // C6.1: ADX and DI (Single indicator) // C6.1.1: Red line is above green line // C6.1.2: Blue line > 20 // C6.1.3: Blue trending up over last 1 candle // C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined) // C6.2.1: Absolute Strengeh Histogram colour is red // C6.2.2: HawkEye Volume Indicator colour is red // NOTE: All the optional confirmation indicators cannot be overlayed with Coral Trend so feel free to add each separately to the chart for visual purposes // // // - Trade exit: Stop Loss: Calculated by recent swing low over previous X candles (configurable with "Local High/Low Lookback") // Take Profit: Calculated from R:R multiplier * Stop Loss size // // @credits // // Coral Trend Indicator [LazyBear] by @LazyBear // Absolute Strength Histogram | jh by @jiehonglim // Indicator: HawkEye Volume Indicator by @LazyBear // ADX and DI by @BeikabuOyaji //@version=5 INITIAL_CAPITAL = 1000 DEFAULT_COMMISSION = 0.02 MAX_DRAWINGS = 500 IS_OVERLAY = true strategy("Coral Trend Pullback Strategy (TradeIQ)", "Coral Trend Pullback", overlay = IS_OVERLAY, initial_capital = INITIAL_CAPITAL, currency = currency.NONE, max_labels_count = MAX_DRAWINGS, max_boxes_count = MAX_DRAWINGS, max_lines_count = MAX_DRAWINGS, default_qty_type = strategy.cash, commission_type = strategy.commission.percent, commission_value = DEFAULT_COMMISSION) // ============================================================================= // INPUTS // ============================================================================= // --------------- // Risk Management // --------------- riskReward = input.float(1.5, "Risk : Reward 1 :", group = "Strategy: Risk Management", inline = "RM1", minval = 0, step = 0.1, tooltip = "Previous high or low (long/short dependant) is used to determine TP level. 'Risk : Reward' ratio is then used to calculate SL based of previous high/low level.\n\nIn short, the higher the R:R ratio, the smaller the SL since TP target is fixed by previous high/low price data.") accountRiskPercent = input.float(1, "Portfolio Risk % ", group = "Strategy: Risk Management", inline = "RM2", minval = 0, step = 0.1, tooltip = "Percentage of portfolio you lose if trade hits SL.\n\nYou then stand to gain\n Portfolio Risk % * Risk : Reward\nif trade hits TP.") localHlLookback = input.int (5, "Local High/Low Lookback ", group = "Strategy: Stop Loss Settings", inline = "SL1", minval = 1, tooltip = "This strategy calculates the Stop Loss value from the recent local high/low. This lookback period determines the number of candles to include for the local high/low.") // ---------- // Date Range // ---------- startYear = input.int (2010, "Start Date ", group = "Strategy: Date Range", inline = "DR1", minval = 1900, maxval = 2100) startMonth = input.int (1, "", group = "Strategy: Date Range", inline = "DR1", options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) startDate = input.int (1, "", group = "Strategy: Date Range", inline = "DR1", options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) endYear = input.int (2100, "End Date ", group = "Strategy: Date Range", inline = "DR2", minval = 1900, maxval = 2100) endMonth = input.int (1, "", group = "Strategy: Date Range", inline = "DR2", options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) endDate = input.int (1, "", group = "Strategy: Date Range", inline = "DR2", options = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]) // ---------------- // Drawing Settings // ---------------- showTpSlBoxes = input.bool(true, "Show TP / SL Boxes", group = "Strategy: Drawings", inline = "D1", tooltip = "Show or hide TP and SL position boxes.\n\nNote: TradingView limits the maximum number of boxes that can be displayed to 500 so they may not appear for all price data under test.") showLabels = input.bool(false, "Show Trade Exit Labels", group = "Strategy: Drawings", inline = "D2", tooltip = "Useful labels to identify Profit/Loss and cumulative portfolio capital after each trade closes.\n\nAlso note that TradingView limits the max number of 'boxes' that can be displayed on a chart (max 500). This means when you lookback far enough on the chart you will not see the TP/SL boxes. However you can check this option to identify where trades exited.") // ------------------ // Indicator Settings // ------------------ // Coral Trend ctSm = input.int (25, "Smoothing Period ", group = "Leading Indicator: Coral Trand Settings", inline = "CT1") ctCd = input.float(0.4, "Constant D ", group = "Leading Indicator: Coral Trand Settings", inline = "CT2", step = 0.1) // Confirmation indicator inputs confirmationInd = input.string("ADX and DI", "Entry Confirmation Method ", group = "Confirmation Indicator: Indicator Selection", inline = "IS1", options=["None", "ADX and DI", "Absolute Strength Histogram + HawkEye Volume"], tooltip = "Select one of the possible confirmation indicator(s) which can be used to confirm entry signals from the main Coral Trend indicator conditions. See strategy conditions to understand the logic behind each confirmation indicator") // ADX and DI adxLen = input.int(14, "ADX Length ", group = "Confirmation Indicator: ADX and DI Settings", inline = "AD1") midLine = input.int(20, "Mid Line ", group = "Confirmation Indicator: ADX and DI Settings", inline = "AD2", tooltip = "Mid line on standard ADX and DI indicator. In this strategy the DI must be above this line for entry confirmation.") // Absolute Strength Histogram ashLength = input.int(9, "Period of Evaluation ", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH1") ashSmooth = input.int(6, "Period of Smoothing ", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH2") ashSrc = input.source(close, "Source ", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH3") ashMode = input.string("RSI", "Indicator Method ", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH4", options=["RSI", "STOCHASTIC", "ADX"]) sahMaType = input.string("SMA", "MA ", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH5", options=["ALMA", "EMA", "WMA", "SMA", "SMMA", "HMA"]) ashAlmaOffset = input.float(0.85, "* Arnaud Legoux (ALMA) Offset", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH6", minval=0, step=0.01) ashAlmaSigma = input.int(6, "* Arnaud Legoux (ALMA) Sigma", group = "Confirmation Indicator: Absolute Strength Histogram Settings", inline = "ASH7", minval=0) // HawkEye Volume Indicator hevLength = input.int(200, "Length ", group = "Confirmation Indicator: HawkEye Volume Settings", inline = "HV1") hevDivisor = input.float(1.6, "Divisor ", group = "Confirmation Indicator: HawkEye Volume Settings", inline = "HV2", step=0.1) // ============================================================================= // INDICATORS // ============================================================================= // ----------- // Coral Trend // ----------- src = close di = (ctSm - 1.0) / 2.0 + 1.0 c1 = 2 / (di + 1.0) c2 = 1 - c1 c3 = 3.0 * (ctCd * ctCd + ctCd * ctCd * ctCd) c4 = -3.0 * (2.0 * ctCd * ctCd + ctCd + ctCd * ctCd * ctCd) c5 = 3.0 * ctCd + 1.0 + ctCd * ctCd * ctCd + 3.0 * ctCd * ctCd var float i1 = na var float i2 = na var float i3 = na var float i4 = na var float i5 = na var float i6 = na i1 := c1 * src + c2 * nz(i1[1]) i2 := c1 * i1 + c2 * nz(i2[1]) i3 := c1 * i2 + c2 * nz(i3[1]) i4 := c1 * i3 + c2 * nz(i4[1]) i5 := c1 * i4 + c2 * nz(i5[1]) i6 := c1 * i5 + c2 * nz(i6[1]) bfr = -ctCd * ctCd * ctCd * i6 + c3 * i5 + c4 * i4 + c5 * i3 bfrC = bfr > nz(bfr[1]) ? color.new(color.green, 50) : bfr < nz(bfr[1]) ? color.new(color.red, 50) : color.new(color.blue, 50) plot(bfr, "Trend", linewidth = 3, style = plot.style_stepline, color = bfrC) // ---------- // ADX and DI // ---------- TrueRange = math.max(math.max(high - low, math.abs(high - nz(close[1]))), math.abs(low - nz(close[1]))) DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? math.max(high - nz(high[1]), 0) : 0 DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? math.max(nz(low[1]) - low, 0) : 0 SmoothedTrueRange = 0.0 SmoothedTrueRange := nz(SmoothedTrueRange[1]) - nz(SmoothedTrueRange[1]) / adxLen + TrueRange SmoothedDirectionalMovementPlus = 0.0 SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - nz(SmoothedDirectionalMovementPlus[1]) / adxLen + DirectionalMovementPlus SmoothedDirectionalMovementMinus = 0.0 SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - nz(SmoothedDirectionalMovementMinus[1]) / adxLen + DirectionalMovementMinus DIPlus = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100 DIMinus = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100 DX = math.abs(DIPlus - DIMinus) / (DIPlus + DIMinus) * 100 ADX = ta.sma(DX, adxLen) // --------------------------- // Absolute Strength Histogram // --------------------------- ashMa(ashType, ashSrc, ashLen) => float result = 0 if ashType == 'SMA' // Simple result := ta.sma(ashSrc, ashLen) result if ashType == 'EMA' // Exponential result := ta.ema(ashSrc, ashLen) result if ashType == 'WMA' // Weighted result := ta.wma(ashSrc, ashLen) result if ashType == 'SMMA' // Smoothed ashWma = ta.wma(ashSrc, ashLen) ashSma = ta.sma(ashSrc, ashLen) result := na(ashWma[1]) ? ashSma : (ashWma[1] * (ashLen - 1) + ashSrc) / ashLen result if ashType == 'HMA' // Hull result := ta.wma(2 * ta.wma(ashSrc, ashLen / 2) - ta.wma(ashSrc, ashLen), math.round(math.sqrt(ashLen))) result if ashType == 'ALMA' // Arnaud Legoux result := ta.alma(ashSrc, ashLen, ashAlmaOffset, ashAlmaSigma) result result Price = ashSrc Price1 = ashMa('SMA', Price, 1) Price2 = ashMa('SMA', Price[1], 1) //RSI Bulls0 = 0.5 * (math.abs(Price1 - Price2) + Price1 - Price2) Bears0 = 0.5 * (math.abs(Price1 - Price2) - (Price1 - Price2)) //STOCHASTIC Bulls1 = Price1 - ta.lowest(Price1, ashLength) Bears1 = ta.highest(Price1, ashLength) - Price1 //ADX Bulls2 = 0.5 * (math.abs(high - high[1]) + high - high[1]) Bears2 = 0.5 * (math.abs(low[1] - low) + low[1] - low) Bulls = ashMode == 'RSI' ? Bulls0 : ashMode == 'STOCHASTIC' ? Bulls1 : Bulls2 Bears = ashMode == 'RSI' ? Bears0 : ashMode == 'STOCHASTIC' ? Bears1 : Bears2 AvgBulls = ashMa(sahMaType, Bulls, ashLength) AvgBears = ashMa(sahMaType, Bears, ashLength) SmthBulls = ashMa(sahMaType, AvgBulls, ashSmooth) SmthBears = ashMa(sahMaType, AvgBears, ashSmooth) isTrendBullish = SmthBulls > SmthBears ? true : false // ------------------------ // HawkEye Volume Indicator // ------------------------ hevRange1 = high - low hevRangeAvg = ta.sma(hevRange1, hevLength) hevVolumeA = ta.sma(volume, hevLength) hevHigh1 = high[1] hevLow1 = low[1] hevMid1 = hl2[1] hevU1 = hevMid1 + (hevHigh1 - hevLow1) / hevDivisor hevD1 = hevMid1 - (hevHigh1 - hevLow1) / hevDivisor rEnabled1 = hevRange1 > hevRangeAvg and close < hevD1 and volume > hevVolumeA rEnabled2 = close < hevMid1 rEnabled = rEnabled1 or rEnabled2 gEnabled1 = close > hevMid1 gEnabled2 = hevRange1 > hevRangeAvg and close > hevU1 and volume > hevVolumeA gEnabled3 = high > hevHigh1 and hevRange1 < hevRangeAvg / 1.5 and volume < hevVolumeA gEnabled4 = low < hevLow1 and hevRange1 < hevRangeAvg / 1.5 and volume > hevVolumeA gEnabled = gEnabled1 or gEnabled2 or gEnabled3 or gEnabled4 grEnabled1 = hevRange1 > hevRangeAvg and close > hevD1 and close < hevU1 and volume > hevVolumeA and volume < hevVolumeA * 1.5 and volume > volume[1] grEnabled2 = hevRange1 < hevRangeAvg / 1.5 and volume < hevVolumeA / 1.5 grEnabled3 = close > hevD1 and close < hevU1 grEnabled = grEnabled1 or grEnabled2 or grEnabled3 // ============================================================================= // STRATEGY LOGIC // ============================================================================= // --------- // FUNCTIONS // --------- percentAsPoints(pcnt) => math.round(pcnt / 100 * close / syminfo.mintick) calcStopLossPrice(pointsOffset, isLong) => priceOffset = pointsOffset * syminfo.mintick if isLong close - priceOffset else close + priceOffset calcProfitTrgtPrice(pointsOffset, isLong) => calcStopLossPrice(-pointsOffset, isLong) printLabel(barIndex, msg) => label.new(barIndex, close, msg) printTpSlHitBox(left, right, slHit, tpHit, entryPrice, slPrice, tpPrice) => if showTpSlBoxes box.new (left = left, top = entryPrice, right = right, bottom = slPrice, bgcolor = slHit ? color.new(color.red, 60) : color.new(color.gray, 90), border_width = 0) box.new (left = left, top = entryPrice, right = right, bottom = tpPrice, bgcolor = tpHit ? color.new(color.green, 60) : color.new(color.gray, 90), border_width = 0) line.new(x1 = left, y1 = entryPrice, x2 = right, y2 = entryPrice, color = color.new(color.yellow, 20)) line.new(x1 = left, y1 = slPrice, x2 = right, y2 = slPrice, color = color.new(color.red, 20)) line.new(x1 = left, y1 = tpPrice, x2 = right, y2 = tpPrice, color = color.new(color.green, 20)) printTpSlNotHitBox(left, right, entryPrice, slPrice, tpPrice) => if showTpSlBoxes box.new (left = left, top = entryPrice, right = right, bottom = slPrice, bgcolor = color.new(color.gray, 90), border_width = 0) box.new (left = left, top = entryPrice, right = right, bottom = tpPrice, bgcolor = color.new(color.gray, 90), border_width = 0) line.new(x1 = left, y1 = entryPrice, x2 = right, y2 = entryPrice, color = color.new(color.yellow, 20)) line.new(x1 = left, y1 = slPrice, x2 = right, y2 = slPrice, color = color.new(color.red, 20)) line.new(x1 = left, y1 = tpPrice, x2 = right, y2 = tpPrice, color = color.new(color.green, 20)) printTradeExitLabel(x, y, posSize, entryPrice, pnl) => if showLabels labelStr = "Position Size: " + str.tostring(math.abs(posSize), "#.##") + "\nPNL: " + str.tostring(pnl, "#.##") + "\nCapital: " + str.tostring(strategy.equity, "#.##") + "\nEntry Price: " + str.tostring(entryPrice, "#.##") label.new(x = x, y = y, text = labelStr, color = pnl > 0 ? color.new(color.green, 60) : color.new(color.red, 60), textcolor = color.white, style = label.style_label_down) printVerticalLine(col) => line.new(bar_index, close, bar_index, close * 1.01, extend = extend.both, color = col) // ---------- // CONDITIONS // ---------- inDateRange = true // Condition 1: Coral Trend color matches trend direction (long=green, short=red) isCoralBullish = bfr > nz(bfr[1]) isCoralBearish = bfr < nz(bfr[1]) // Condition 2: At least 1 candle completely above/below (long/short) Coral Trend since last cross above/below (long/short) Coral Trend (could potentially try also with only close above) sincePrePullbackBullBreakout= ta.barssince(ta.crossover(close, bfr)) sincePrePullbackBearBreakout= ta.barssince(ta.crossunder(close, bfr)) prePullbackBullBreakout = ta.barssince(low > bfr and high > bfr) < sincePrePullbackBullBreakout[1] prePullbackBearBreakout = ta.barssince(low < bfr and high < bfr) < sincePrePullbackBearBreakout[1] // Condition 3: Pullback closes below/above (long/short) Coral Trend barssinceBullPullbackStart = ta.barssince(ta.crossunder(close, bfr)) barssinceBearPullbackStart = ta.barssince(ta.crossover(close, bfr)) barssincePullbackStart = isCoralBullish ? barssinceBullPullbackStart : isCoralBearish ? barssinceBearPullbackStart : na // Condition 4: Coral Trend colour matched trend direction for duration of pullback sinceBullish = ta.barssince(ta.crossover(bfr, nz(bfr[1]))) sinceBearish = ta.barssince(ta.crossunder(bfr, nz(bfr[1]))) barssinceCoralflip = isCoralBullish ? sinceBullish : isCoralBearish ? sinceBearish : na isPullbackValid = barssincePullbackStart < barssinceCoralflip // Condition 5: After valid pullback, price then closes above/below (long/short) Coral Trend entryBreakout = (isCoralBullish and ta.crossover(close, bfr)) or (isCoralBearish and ta.crossunder(close, bfr)) // Condition 6: Confirmation indicators (6.1 or 6.2, optional depending on settings) confirms trade entry // 6.1: ADX and DI // 6.1.1: Green and red match trend (long=(green > red), short=(red > green)) // 6.1.2: Blue > 20 // 6.1.3: Blue trending up over last 1 candle // 6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator // 6.2.1: Absolute Strengeh Histogram colour matches trend (long=blue, short=red) // 6.2.2: HawkEye Volume Indicator colour matches trend (long=green, short=red) var longTradeConfirmed = false var shortTradeConfirmed = false if confirmationInd == "ADX and DI" isAdxUp = ADX > ADX [1] isAdxValid = ADX > midLine and isAdxUp longTradeConfirmed := DIPlus > DIMinus and isAdxValid shortTradeConfirmed:= DIMinus > DIPlus and isAdxValid else if confirmationInd == "Absolute Strength Histogram + HawkEye Volume" isAshBullish = SmthBulls > SmthBears ? true : false isHevBullish = not grEnabled and gEnabled ? true : false isHevBearish = not grEnabled and rEnabled ? true : false longTradeConfirmed := isAshBullish and isHevBullish shortTradeConfirmed:= not isAshBullish and isHevBearish else if confirmationInd == "None" longTradeConfirmed := true shortTradeConfirmed:= true // Combine all entry conditions goLong = inDateRange and isCoralBullish and prePullbackBullBreakout and isPullbackValid and entryBreakout and longTradeConfirmed goShort = inDateRange and isCoralBearish and prePullbackBearBreakout and isPullbackValid and entryBreakout and shortTradeConfirmed // Trade entry and exit variables var tradeEntryBar = bar_index var profitPoints = 0. var lossPoints = 0. var slPrice = 0. var tpPrice = 0. var inLong = false var inShort = false var entryPrice = 0. // Entry decisions openLong = (goLong and not inLong) openShort = (goShort and not inShort) flippingSides = (goLong and inShort) or (goShort and inLong) enteringTrade = openLong or openShort inTrade = inLong or inShort // Exit calculations entryPrice := close longSlPrice = ta.lowest(localHlLookback) shortSlPrice = ta.highest(localHlLookback) slAmount = isCoralBullish ? entryPrice - longSlPrice : shortSlPrice - entryPrice slPercent = math.abs((1 - (entryPrice - slAmount) / entryPrice) * 100) tpPercent = slPercent * riskReward // Risk calculations riskAmt = strategy.equity * accountRiskPercent / 100 entryQty = math.abs(riskAmt / slPercent * 100) / close if openLong if strategy.position_size < 0 printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice) printTradeExitLabel(bar_index + 1, math.max(tpPrice, slPrice), strategy.position_size, strategy.position_avg_price, strategy.openprofit) strategy.entry("Long", strategy.long, qty = entryQty, alert_message = "Long Entry") enteringTrade := true inLong := true inShort := false if openShort if strategy.position_size > 0 printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice) printTradeExitLabel(bar_index + 1, math.max(tpPrice, slPrice), strategy.position_size, strategy.position_avg_price, strategy.openprofit) strategy.entry("Short", strategy.short, qty = entryQty, alert_message = "Short Entry") enteringTrade := true inShort := true inLong := false if enteringTrade profitPoints := percentAsPoints(tpPercent) lossPoints := percentAsPoints(slPercent) slPrice := calcStopLossPrice(lossPoints, openLong) tpPrice := calcProfitTrgtPrice(profitPoints, openLong) tradeEntryBar := bar_index strategy.exit("TP/SL", profit = profitPoints, loss = lossPoints, comment_profit = "TP Hit", comment_loss = "SL Hit", alert_profit = "TP Hit Alert", alert_loss = "SL Hit Alert") // ============================================================================= // DRAWINGS // ============================================================================= // ----------- // TP/SL Boxes // ----------- slHit = (inShort and high >= slPrice) or (inLong and low <= slPrice) tpHit = (inLong and high >= tpPrice) or (inShort and low <= tpPrice) exitTriggered = slHit or tpHit ctEntryPrice = strategy.closedtrades.entry_price (strategy.closedtrades - 1) pnl = strategy.closedtrades.profit (strategy.closedtrades - 1) posSize = strategy.closedtrades.size (strategy.closedtrades - 1) // Print boxes for trades closed at profit or loss if (inTrade and exitTriggered) inShort := false inLong := false // printTpSlHitBox(tradeEntryBar, bar_index, slHit, tpHit, ctEntryPrice, slPrice, tpPrice) // printTradeExitLabel(bar_index, math.max(tpPrice, slPrice), posSize, ctEntryPrice, pnl) // Print TP/SL box for current open trade // if barstate.islastconfirmedhistory and strategy.position_size != 0 // printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice) // // ============================================================================= // // DEBUGGING // // ============================================================================= // Data window plots plotchar(prePullbackBullBreakout, "prePullbackBullBreakout", "") plotchar(prePullbackBearBreakout, "prePullbackBearBreakout", "") plotchar(barssincePullbackStart, "barssincePullbackStart", "") plotchar(isCoralBullish, "isCoralBullish", "") plotchar(isCoralBearish, "isCoralBearish", "") plotchar(barssinceCoralflip, "barssinceCoralflip", "") plotchar(isPullbackValid, "isPullbackValid", "") plotchar(entryBreakout, "entryBreakout", "") plotchar(slHit, "slHit", "") plotchar(tpHit, "tpHit", "") plotchar(slPrice, "slPrice", "") // Label plots // plotDebugLabels = false // if plotDebugLabels // if bar_index == tradeEntryBar // printLabel(bar_index, "Position size: " + str.tostring(entryQty * close, "#.##"))