Strategi ini menggunakan indikator LazyBear
Mekanisme keluar menggunakan harga tertinggi / terendah dari N lilin terbaru dikalikan dengan rasio risiko-manfaat yang dapat dikonfigurasi untuk mengatur stop loss dan mengambil keuntungan.
Setelah menentukan arah tren utama berdasarkan indikator Coral Trend, ketika warna indikator tetap tidak berubah, dan harga menunjukkan sedikit pullback ke arah yang berlawanan. Pada saat ini, jika pullback berakhir dan harga kembali ke arah tren utama yang ditunjukkan oleh Coral Trend, itu dapat dianggap sebagai titik masuk yang baik.
Syarat masuk termasuk:
Arah indikator Coral Trend konsisten dengan arah perdagangan (panjang=hijau, pendek=merah)
Sejak terakhir kali harga sepenuhnya menembus indikator Coral Trend (titik tinggi bar terakhir melebihi garis Coral Trend), setidaknya ada 1 bar dengan titik rendah di atas (panjang) atau titik tinggi di bawah (pendek) indikator Coral Trend
Sebuah pullback kecil terjadi dalam arah yang berlawanan, di mana harga penutupan tetap di sisi yang berlawanan dari Coral Trend
Setelah penurunan berakhir, harga penutupan kembali ke arah tren utama yang ditunjukkan oleh Coral Trend
Di atas adalah kondisi utama. Pada saat yang sama, strategi mengadopsi indikator ADX atau Histogram Kekuatan Absolute dan indikator Volume HawkEye sebagai kondisi konfirmasi untuk masuk.
Indikator ADX membutuhkan nilainya > 20 dan naik lebih dari 1 bar terakhir. Dan urutan garis hijau dan merah DI konsisten dengan arah perdagangan.
Histogram Kekuatan Absolute mengharuskan warnanya konsisten dengan arah perdagangan (panjang=biru, pendek=merah).
Mekanisme keluar menggunakan harga tertinggi / terendah dari N lilin terbaru dikalikan dengan rasio risiko-manfaat untuk mengatur stop loss dan mengambil keuntungan.
Keuntungan terbesar dari strategi ini adalah bahwa setelah menentukan arah tren utama menggunakan indikator Coral Trend, ia mendeteksi peluang masuk dengan mengidentifikasi pembalikan, menghindari melayang-layang di pasar non-trending.
Selain itu, strategi ini menyediakan mekanisme pengendalian risiko yang lengkap, termasuk menetapkan besarnya stop loss dan mengendalikan persentase eksposur risiko, sehingga bahkan jika perdagangan individu kehilangan uang, itu tidak akan menyebabkan dampak besar pada total modal.
Risiko terbesar dari strategi ini adalah bahwa penggunaan indikator untuk penilaian masuk dapat dengan mudah menciptakan ilusi, percaya bahwa Anda dapat menghasilkan uang secara otomatis hanya dengan mengandalkan konfigurasi parameter.
Selain itu, pengaturan stop loss dan take profit juga perlu tepat. Multiple take profit yang terlalu besar dapat mengakibatkan kegagalan untuk mengambil keuntungan, sementara stop loss yang terlalu kecil akan mengakibatkan risiko yang berlebihan. Ini perlu ditetapkan sesuai dengan volatilitas produk yang berbeda dan toleransi risiko pribadi.
Arah yang dapat dioptimalkan dari strategi ini meliputi:
Menyesuaikan parameter indikator Coral Trend untuk membuatnya lebih sensitif terhadap perubahan harga produk yang berbeda
Coba indikator Konfirmasi yang berbeda atau kombinasi indikator, seperti KDJ, MACD, dll, untuk membuat sinyal masuk lebih akurat
Sesuai dengan volatilitas produk yang berbeda, sesuaikan metode perhitungan stop loss dan take profit untuk mencapai kontrol risiko yang lebih baik
Menambahkan modul manajemen dana untuk menyesuaikan jumlah pesanan tunggal berdasarkan jumlah posisi yang dipegang, secara efektif mengendalikan kerugian keseluruhan
Tambahkan modul kontrol waktu perdagangan untuk membuat strategi hanya berjalan selama periode tertentu untuk menghindari kerugian selama periode volatilitas yang ekstrim
Strategi ini pertama-tama menggunakan Coral Trend untuk menentukan tren harga jangka menengah dan panjang, kemudian dengan menilai pembalikannya, dikombinasikan dengan sinyal Konfirmasi untuk menyaring breakout palsu, membangun strategi tren yang relatif dapat diandalkan. Pada saat yang sama, pengaturan kontrol risiko yang ditingkatkan juga memungkinkan strategi ini berjalan untuk waktu yang lama dengan modal yang stabil. Dengan optimasi lebih lanjut dari parameter dan modul, strategi ini diharapkan dapat beradaptasi dengan lebih banyak produk dan memiliki stabilitas dan profitabilitas yang lebih baik.
/*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, "#.##"))