Strategi ini terutamanya berdasarkan penunjuk Saluran SSL dan penunjuk Trend Gelombang, digabungkan dengan penunjuk tambahan lain, untuk melaksanakan strategi perdagangan kuantitatif yang agak lengkap.
Strategi ini mempunyai enam syarat untuk kemasukan, di mana dua yang pertama adalah syarat teras, khususnya:
Apabila 6 syarat ini dipenuhi pada masa yang sama, strategi akan pergi panjang atau pergi pendek. Jarak stop loss dikira berdasarkan nilai penunjuk ATR, dan jarak mengambil keuntungan adalah nisbah Anugerah Risiko kali stop loss.
Strategi ini juga mempunyai mekanisme pengurusan risiko dan wang yang baik, termasuk tetapan stop loss, kawalan saiz kedudukan, dan kawalan penarikan maksimum. Pada masa yang sama, strategi menarik garis tambahan pada carta, yang dapat melihat secara visual stop loss dan mengambil keuntungan untuk setiap perdagangan, serta keuntungan dan kerugian tertentu. Ini sangat membantu untuk analisis dan pengoptimuman strategi.
Kelebihan terbesar strategi ini adalah bahawa penunjuk Saluran SSL sangat tepat dalam menentukan arah trend. Apabila digabungkan dengan Trend Gelombang dan penunjuk lain untuk pengesahan, ia dapat mengurangkan isyarat palsu. Pada masa yang sama, syarat kemasukan yang ketat juga dapat mengelakkan perdagangan yang tidak perlu, dengan itu mengurangkan bilangan perdagangan dan menurunkan kos transaksi.
Di samping itu, mekanisme pengurusan risiko dan modal strategi yang baik juga merupakan kelebihan yang signifikan. Strategi stop loss dan mengambil keuntungan yang telah ditetapkan sebelumnya dapat mengawal kerugian maksimum perdagangan tunggal dengan berkesan. Bersama dengan kawalan saiz kedudukan, ia dapat menjaga pengeluaran akaun maksimum dalam julat yang boleh diterima.
Risiko terbesar strategi ini adalah bahawa syarat kemasukan yang ketat mungkin kehilangan beberapa peluang perdagangan, mempengaruhi keuntungan.
Di samping itu, keberkesanan Trend Gelombang dan penunjuk lain dalam menentukan trend pasaran juga akan dipengaruhi oleh anomali seperti pecah palsu di pasaran. Pada ketika ini parameter perlu diselaraskan atau penunjuk lain ditambah untuk pengesahan.
Secara keseluruhan, risiko strategi ini masih boleh dikawal. Melalui penyesuaian parameter dan pengoptimuman, strategi boleh dibuat lebih mudah disesuaikan dengan persekitaran pasaran yang berbeza.
Terdapat beberapa arah pengoptimuman untuk strategi ini:
Mengoptimumkan parameter Trend Gelombang untuk menentukan titik pembalikan trend dengan lebih tepat
Tambah penunjuk lain untuk pengesahan, seperti KDJ, MACD, dan lain-lain, untuk mengelakkan kesan pecah palsu
Parameter boleh diselaraskan dan dioptimumkan untuk produk dan jangka masa yang berbeza untuk meningkatkan kestabilan strategi
Tambah algoritma pembelajaran mesin untuk melatih model dengan data sejarah dan mengoptimumkan parameter dalam masa nyata
Menggunakan faktor kekerapan tinggi dan algoritma lain untuk meningkatkan kekerapan perdagangan strategi dan keuntungan
Melalui pelaksanaan langkah-langkah pengoptimuman ini, ia dijangka membawa keuntungan dan kestabilan strategi ke tahap yang lebih tinggi.
Ringkasnya, strategi ini mengintegrasikan pelbagai penunjuk dan mekanisme kemasukan yang ketat untuk memastikan kadar kemenangan yang tinggi sambil mencapai kawalan risiko yang baik.
/*backtest start: 2024-01-01 00:00:00 end: 2024-01-31 23:59:59 period: 1h basePeriod: 15m 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 // @credits // - Wave Trend: Indicator: WaveTrend Oscillator [WT] by @LazyBear // - SSL Channel: SSL channel by @ErwinBeckers // - SSL Hybrid: SSL Hybrid by @Mihkel00 // - Keltner Channels: Keltner Channels Bands by @ceyhun // - Candle Height: Candle Height in Percentage - Columns by @FreeReveller // - NNFX ATR: NNFX ATR by @sueun123 // // Strategy: Based on the YouTube video "This Unique Strategy Made 47% Profit in 2.5 Months [SSL + Wave Trend Strategy Tested 100 Times]" by TradeSmart. // @description // // Strategy incorporates the following features: // // - Risk management: Configurable X% loss per stop loss // Configurable R:R ratio // // - Trade entry: Based on strategy conditions below // // - Trade exit: Based on strategy conditions below // // - Backtesting: Configurable backtesting range by date // // - Chart drawings: Each entry condition indicator can be turned on and off // 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 // // - Alerting: Alerts on LONG and SHORT trade entries // // - Debugging: Includes section with useful debugging techniques // // Strategy conditions: // // - Trade entry: LONG: C1: SSL Hybrid baseline is BLUE // C2: SSL Channel crosses up (green on top) // C3: Wave Trend crosses up (represented by pink candle body) // C4: Entry candle height is not greater than configured threshold // C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration) // C6: Take Profit target does not touch EMA (represents resistance) // // SHORT: C1: SSL Hybrid baseline is RED // C2: SSL Channel crosses down (red on top) // C3: Wave Trend crosses down (represented by orange candle body) // C4: Entry candle height is not greater than configured threshold // C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration) // C6: Take Profit target does not touch EMA (represents support) // // - Trade exit: Stop Loss: Size configurable with NNFX ATR multiplier // Take Profit: Calculated from Stop Loss using R:R ratio //@version=5 INITIAL_CAPITAL = 1000 DEFAULT_COMMISSION = 0.02 MAX_DRAWINGS = 500 IS_OVERLAY = true strategy("SSL + Wave Trend Strategy", 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 // ============================================================================= // ---------------------- // Trade Entry Conditions // ---------------------- useSslHybrid = input.bool (true, "Use SSL Hybrid Condition", group = "Strategy: Entry Conditions", inline = "SC1") useKeltnerCh = input.bool (true, "Use Keltner Channel Condition ", group = "Strategy: Entry Conditions", inline = "SC2") keltnerChWicks = input.bool (true, "Keltner Channel Include Wicks", group = "Strategy: Entry Conditions", inline = "SC2") useEma = input.bool (true, "Target not touch EMA Condition", group = "Strategy: Entry Conditions", inline = "SC3") useCandleHeight = input.bool (true, "Use Candle Height Condition", group = "Strategy: Entry Conditions", inline = "SC4") candleHeight = input.float (1.0, "Candle Height Threshold ", group = "Strategy: Entry Conditions", inline = "SC5", minval = 0, step = 0.1, tooltip = "Percentage difference between high and low of a candle. Expressed as a decimal. Lowering this value will filter out trades on volatile candles.") // --------------------- // Trade Exit Conditions // --------------------- slAtrMultiplier = input.float (1.7, "Stop Loss ATR Multiplier ", group = "Strategy: Exit Conditions", inline = "EC1", minval = 0, step = 0.1, tooltip = "Size of StopLoss is determined by multiplication of ATR value. Take Profit is derived from this also by multiplying the StopLoss value by the Risk:Reward multiplier.") // --------------- // Risk Management // --------------- riskReward = input.float (2.5, "Risk : Reward 1 :", group = "Strategy: Risk Management", inline = "RM1", minval = 0, step = 0.1, tooltip = "Used to determine Take Profit level. Take Profit will be Stop Loss multiplied by this value.") 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.") // ---------- // Date Range // ---------- startYear = input.int (2022, "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]) // ---------------- // Display 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 // ------------------ // Indicator display options showSslHybrid = input.bool (true, "Show SSL Hybrid", group = "Indicators: Drawings", inline = "ID1") showSslChannel = input.bool (true, "Show SSL Channel", group = "Indicators: Drawings", inline = "ID2") showEma = input.bool (true, "Show EMA", group = "Indicators: Drawings", inline = "ID3") showKeltner = input.bool (true, "Show Keltner Channel", group = "Indicators: Drawings", inline = "ID4") showWaveTrend = input.bool (true, "Show Wave Trend Flip Candles", group = "Indicators: Drawings", inline = "ID5") showAtrSl = input.bool (true, "Show ATR Stop Loss Bands", group = "Indicators: Drawings", inline = "ID6") // Wave Trend Settings n1 = input.int (10, "Channel Length ", group = "Indicators: Wave Trend", inline = "WT1") n2 = input.int (21, "Average Length ", group = "Indicators: Wave Trend", inline = "WT2") obLevel1 = input.int (60, "Over Bought Level 1 ", group = "Indicators: Wave Trend", inline = "WT3") obLevel2 = input.int (53, "Over Bought Level 2 ", group = "Indicators: Wave Trend", inline = "WT4") osLevel1 = input.int (-60, "Over Sold Level 1 ", group = "Indicators: Wave Trend", inline = "WT5") osLevel2 = input.int (-53, "Over Sold Level 2 ", group = "Indicators: Wave Trend", inline = "WT6") // SSL Channel Settings sslChLen = input.int (10, "Period ", group = "Indicators: SSL Channel", inline = "SC1") // SSL Hybrid Settings // Show/hide Inputs show_color_bar = input.bool (false, "Show Color Bars", group = "Indicators: SSL Hybrid", inline = "SH2") // Baseline Inputs maType = input.string ("HMA", "Baseline Type ", group = "Indicators: SSL Hybrid", inline = "SH3", options=["SMA", "EMA", "DEMA", "TEMA", "LSMA", "WMA", "MF", "VAMA", "TMA", "HMA", "JMA", "Kijun v2", "EDSMA", "McGinley"]) len = input.int (60, "Baseline Length ", group = "Indicators: SSL Hybrid", inline = "SH4") src = input.source (close, "Source ", group = "Indicators: SSL Hybrid", inline = "SH5") kidiv = input.int (1, "Kijun MOD Divider ", group = "Indicators: SSL Hybrid", inline = "SH6", maxval=4) jurik_phase = input.int (3, "* Jurik (JMA) Only - Phase ", group = "Indicators: SSL Hybrid", inline = "SH7") jurik_power = input.int (1, "* Jurik (JMA) Only - Power ", group = "Indicators: SSL Hybrid", inline = "SH8") volatility_lookback = input.int (10, "* Volatility Adjusted (VAMA) Only - Volatility lookback length", group = "Indicators: SSL Hybrid", inline = "SH9") //Modular Filter Inputs beta = input.float (0.8, "Modular Filter, General Filter Only - Beta ", group = "Indicators: SSL Hybrid", inline = "SH10", minval=0, maxval=1, step=0.1) feedback = input.bool (false, "Modular Filter Only - Feedback", group = "Indicators: SSL Hybrid", inline = "SH11") z = input.float (0.5, "Modular Filter Only - Feedback Weighting ", group = "Indicators: SSL Hybrid", inline = "SH12", step=0.1, minval=0, maxval=1) //EDSMA Inputs ssfLength = input.int (20, "EDSMA - Super Smoother Filter Length ", group = "Indicators: SSL Hybrid", inline = "SH13", minval=1) ssfPoles = input.int (2, "EDSMA - Super Smoother Filter Poles ", group = "Indicators: SSL Hybrid", inline = "SH14", options=[2, 3]) ///Keltner Baseline Channel Inputs useTrueRange = input.bool (true, "Use True Range?", group = "Indicators: SSL Hybrid", inline = "SH15") multy = input.float (0.2, "Base Channel Multiplier ", group = "Indicators: SSL Hybrid", inline = "SH16", step=0.05) // EMA Settings emaLength = input.int (200, "EMA Length ", group = "Indicators: EMA", inline = "E1", minval = 1) // Keltner Channel Settings kcLength = input.int (20, "Length ", group = "Indicators: Keltner Channel", inline = "KC1", minval=1) kcMult = input.float (1.5, "Multiplier ", group = "Indicators: Keltner Channel", inline = "KC2") kcSrc = input.source (close, "Source ", group = "Indicators: Keltner Channel", inline = "KC3") alen = input.int (10, "ATR Length ", group = "Indicators: Keltner Channel", inline = "KC4", minval=1) // Candle Height in Percentage Settings chPeriod = input.int (20, "Period ", group = "Indicators: Candle Height", inline = "CH1") // NNFX ATR Settings nnfxAtrLength = input.int (14, "Length ", group = "Indicators: NNFX ATR (Stop Loss Settings)", inline = "ATR1", minval = 1) nnfxSmoothing = input.string ("RMA", "Smoothing ", group = "Indicators: NNFX ATR (Stop Loss Settings)", inline = "ATR3", options = ["RMA", "SMA", "EMA", "WMA"]) // ============================================================================= // INDICATORS // ============================================================================= // ---------- // Wave Trend // ---------- ap = hlc3 esa = ta.ema(ap, n1) d = ta.ema(math.abs(ap - esa), n1) ci = (ap - esa) / (0.015 * d) tci = ta.ema(ci, n2) wt1 = tci wt2 = ta.sma(wt1, 4) // Show Wave Trend crosses on chart as colour changes (pink bullish, orange bearish) wtBreakUp = ta.crossover (wt1, wt2) wtBreakDown = ta.crossunder (wt1, wt2) barColour = showWaveTrend ? wtBreakUp ? color.fuchsia : wtBreakDown ? color.orange : na : na barcolor(color = barColour) // ----------- // SSL Channel // ----------- smaHigh = ta.sma(high, sslChLen) smaLow = ta.sma(low, sslChLen) var int sslChHlv = na sslChHlv := close > smaHigh ? 1 : close < smaLow ? -1 : sslChHlv[1] sslChDown = sslChHlv < 0 ? smaHigh : smaLow sslChUp = sslChHlv < 0 ? smaLow : smaHigh plot(showSslChannel ? sslChDown : na, "SSL Channel Down", linewidth=1, color=color.new(color.red, 30)) plot(showSslChannel ? sslChUp : na, "SSL Channel Up", linewidth=1, color=color.new(color.lime, 30)) // ---------- // SSL Hybrid // ---------- //EDSMA get2PoleSSF(src, length) => PI = 2 * math.asin(1) arg = math.sqrt(2) * PI / length a1 = math.exp(-arg) b1 = 2 * a1 * math.cos(arg) c2 = b1 c3 = -math.pow(a1, 2) c1 = 1 - c2 - c3 ssf = 0.0 ssf:= c1 * src + c2 * nz(ssf[1]) + c3 * nz(ssf[2]) ssf get3PoleSSF(src, length) => PI = 2 * math.asin(1) arg = PI / length a1 = math.exp(-arg) b1 = 2 * a1 * math.cos(1.738 * arg) c1 = math.pow(a1, 2) coef2 = b1 + c1 coef3 = -(c1 + b1 * c1) coef4 = math.pow(c1, 2) coef1 = 1 - coef2 - coef3 - coef4 ssf = 0.0 ssf := coef1 * src + coef2 * nz(ssf[1]) + coef3 * nz(ssf[2]) + coef4 * nz(ssf[3]) ssf ma(type, src, len) => float result = 0 if type == "TMA" result := ta.sma(ta.sma(src, math.ceil(len / 2)), math.floor(len / 2) + 1) result if type == "MF" ts = 0. b = 0. c = 0. os = 0. //---- alpha = 2 / (len + 1) a = feedback ? z * src + (1 - z) * nz(ts[1], src) : src //---- b := a > alpha * a + (1 - alpha) * nz(b[1], a) ? a : alpha * a + (1 - alpha) * nz(b[1], a) c := a < alpha * a + (1 - alpha) * nz(c[1], a) ? a : alpha * a + (1 - alpha) * nz(c[1], a) os := a == b ? 1 : a == c ? 0 : os[1] //---- upper = beta * b + (1 - beta) * c lower = beta * c + (1 - beta) * b ts := os * upper + (1 - os) * lower result := ts result if type == "LSMA" result := ta.linreg(src, len, 0) result if type == "SMA" // Simple result := ta.sma(src, len) result if type == "EMA" // Exponential result := ta.ema(src, len) result if type == "DEMA" // Double Exponential e = ta.ema(src, len) result := 2 * e - ta.ema(e, len) result if type == "TEMA" // Triple Exponential e = ta.ema(src, len) result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len) result if type == "WMA" // Weighted result := ta.wma(src, len) result if type == "VAMA" // Volatility Adjusted /// Copyright © 2019 to present, Joris Duyck (JD) mid = ta.ema(src, len) dev = src - mid vol_up = ta.highest(dev, volatility_lookback) vol_down= ta.lowest(dev, volatility_lookback) result := mid + math.avg(vol_up, vol_down) result if type == "HMA" // Hull result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) result if type == "JMA" // Jurik /// Copyright © 2018 Alex Orekhov (everget) /// Copyright © 2017 Jurik Research and Consulting. phaseRatio = jurik_phase < -100 ? 0.5 : jurik_phase > 100 ? 2.5 : jurik_phase / 100 + 1.5 beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2) alpha = math.pow(beta, jurik_power) jma = 0.0 e0 = 0.0 e0 := (1 - alpha) * src + alpha * nz(e0[1]) e1 = 0.0 e1 := (src - e0) * (1 - beta) + beta * nz(e1[1]) e2 = 0.0 e2 := (e0 + phaseRatio * e1 - nz(jma[1])) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(e2[1]) jma := e2 + nz(jma[1]) result := jma result if type == "Kijun v2" kijun = math.avg(ta.lowest(len), ta.highest(len)) //, (open + close)/2) conversionLine = math.avg(ta.lowest(len / kidiv), ta.highest(len / kidiv)) delta = (kijun + conversionLine) / 2 result := delta result if type == "McGinley" mg = 0.0 mg := na(mg[1]) ? ta.ema(src, len) : mg[1] + (src - mg[1]) / (len * math.pow(src / mg[1], 4)) result := mg result if type == "EDSMA" zeros = src - nz(src[2]) avgZeros = (zeros + zeros[1]) / 2 // Ehlers Super Smoother Filter ssf = ssfPoles == 2 ? get2PoleSSF(avgZeros, ssfLength) : get3PoleSSF(avgZeros, ssfLength) // Rescale filter in terms of Standard Deviations stdev = ta.stdev(ssf, len) scaledFilter= stdev != 0 ? ssf / stdev : 0 alpha = 5 * math.abs(scaledFilter) / len edsma = 0.0 edsma := alpha * src + (1 - alpha) * nz(edsma[1]) result := edsma result result ///Keltner Baseline Channel BBMC = ma(maType, close, len) Keltma = ma(maType, src, len) range_1 = useTrueRange ? ta.tr : high - low rangema = ta.ema(range_1, len) upperk = Keltma + rangema * multy lowerk = Keltma - rangema * multy //COLORS color_bar = close > upperk ? #00c3ff : close < lowerk ? #ff0062 : color.gray //PLOTS p1 = plot(showSslHybrid ? BBMC : na, color=color.new(color_bar, 0), linewidth=4, title="MA Baseline") barcolor(show_color_bar ? color_bar : na) // --- // EMA // --- ema = ta.ema(close, emaLength) plot(showEma ? ema : na, "EMA Trend Line", color.white) // ---------------- // Keltner Channels // ---------------- kcMa = ta.ema(kcSrc, kcLength) KTop2 = kcMa + kcMult * ta.atr(alen) KBot2 = kcMa - kcMult * ta.atr(alen) upperPlot = plot(showKeltner ? KTop2 : na, color=color.new(color.blue, 0), title="Upper", style = plot.style_stepline) lowerPlot = plot(showKeltner ? KBot2 : na, color=color.new(color.blue, 0), title="Lower", style = plot.style_stepline) // --------------------------- // Candle Height in Percentage // --------------------------- percentHL = (high - low) / low * 100 percentRed = open > close ? (open - close) / close * 100 : 0 percentGreen= open < close ? (close - open) / open * 100 : 0 // -------- // NNFX ATR // -------- function(source, length) => if nnfxSmoothing == "RMA" ta.rma(source, nnfxAtrLength) else if nnfxSmoothing == "SMA" ta.sma(source, nnfxAtrLength) else if nnfxSmoothing == "EMA" ta.ema(source, nnfxAtrLength) else ta.wma(source, nnfxAtrLength) formula(number, decimals) => factor = math.pow(10, decimals) int(number * factor) / factor nnfxAtr = formula(function(ta.tr(true), nnfxAtrLength), 5) * slAtrMultiplier //Sell longSlAtr = nnfxAtrLength ? close - nnfxAtr : close + nnfxAtr shortSlAtr = nnfxAtrLength ? close + nnfxAtr : close - nnfxAtr plot(showAtrSl ? longSlAtr : na, "Long SL", color = color.new(color.red, 35), linewidth = 1, trackprice = true, editable = true, style = plot.style_stepline) plot(showAtrSl ? shortSlAtr : na, "Short SL", color = color.new(color.red, 35), linewidth = 1, trackprice = true, editable = true, style = plot.style_stepline) // ============================================================================= // 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) // ============================================================================= // STRATEGY LOGIC // ============================================================================= // See strategy description at top for details on trade entry/exit logis // ---------- // CONDITIONS // ---------- // 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 // Exit calculations slAmount = nnfxAtr slPercent = math.abs((1 - (close - slAmount) / close) * 100) tpPercent = slPercent * riskReward tpPoints = percentAsPoints(tpPercent) tpTarget = calcProfitTrgtPrice(tpPoints, wtBreakUp) inDateRange = true // Condition 1: SSL Hybrid blue for long or red for short bullSslHybrid = useSslHybrid ? close > upperk : true bearSslHybrid = useSslHybrid ? close < lowerk : true // Condition 2: SSL Channel crosses up for long or down for short bullSslChannel = ta.crossover(sslChUp, sslChDown) bearSslChannel = ta.crossover(sslChDown, sslChUp) // Condition 3: Wave Trend crosses up for long or down for short bullWaveTrend = wtBreakUp bearWaveTrend = wtBreakDown // Condition 4: Entry candle heignt <= 0.6 on Candle Height in Percentage candleHeightValid = useCandleHeight ? percentGreen <= candleHeight and percentRed <= candleHeight : true // Condition 5: Entry candle is inside Keltner Channel withinCh = keltnerChWicks ? high < KTop2 and low > KBot2 : open < KTop2 and close < KTop2 and open > KBot2 and close > KBot2 insideKeltnerCh = useKeltnerCh ? withinCh : true // Condition 6: TP target does not touch 200 EMA bullTpValid = useEma ? not (close < ema and tpTarget > ema) : true bearTpValid = useEma ? not (close > ema and tpTarget < ema) : true // Combine all entry conditions goLong = inDateRange and bullSslHybrid and bullSslChannel and bullWaveTrend and candleHeightValid and insideKeltnerCh and bullTpValid goShort = inDateRange and bearSslHybrid and bearSslChannel and bearWaveTrend and candleHeightValid and insideKeltnerCh and bearTpValid // 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 // 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 alert(message="BUY Trade Entry Alert", freq=alert.freq_once_per_bar_close) 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 alert(message="SELL Trade Entry Alert", freq=alert.freq_once_per_bar_close) 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 entryPrice = 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 + 1, bar_index, slHit, tpHit, entryPrice, slPrice, tpPrice) // printTradeExitLabel(bar_index, math.max(tpPrice, slPrice), posSize, entryPrice, 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(goLong, "Enter Long", "") plotchar(goShort, "Enter Short", "")