TrendHunter w/MF Multi-Timeframe Trend Strategy adalah strategi trend-following berdasarkan analisis komprehensif dari beberapa indikator teknis di beberapa timeframe. Strategi ini memperhitungkan faktor-faktor seperti Ichimoku Cloud, Moving Averages, SuperTrend, WaveTrend, dan MoneyFlow, menggunakan kondisi yang ketat untuk menentukan titik masuk dan menangkap tren utama pasar.
Prinsip inti dari strategi ini adalah analisis komprehensif dari beberapa indikator teknis di beberapa kerangka waktu.
Ichimoku Cloud: Dengan menganalisis posisi relatif harga dan awan, serta posisi relatif rata-rata bergerak dan awan, tren pasar saat ini ditentukan.
SuperTrend: Dengan menganalisis posisi relatif harga dan SuperTrend, tren pasar saat ini dikonfirmasi.
WaveTrend: Dengan menganalisis arah dan posisi indikator WaveTrend, tren pasar saat ini ditentukan. Ketika WaveTrend naik dan belum mencapai zona overbought, itu dianggap sebagai uptrend; ketika WaveTrend turun dan belum mencapai zona oversold, itu dianggap sebagai downtrend.
Aliran Uang: Dengan menganalisis kondisi indikator Aliran Uang, tren pasar saat ini dikonfirmasi. Ketika Aliran Uang positif, itu dianggap sebagai tren naik; jika tidak, itu dianggap sebagai tren turun.
Untuk posisi panjang, strategi membutuhkan harga berada di atas awan, rata-rata bergerak berada di atas awan, SuperTrend naik, WaveTrend naik dan tidak berada di zona overbought, dan MoneyFlow positif. Sebaliknya berlaku untuk posisi pendek. Penyaringan ketat ini berdasarkan beberapa indikator di beberapa kerangka waktu dapat secara efektif menghindari perdagangan yang sering di pasar yang terikat kisaran, sehingga meningkatkan stabilitas dan keandalan strategi.
Penilaian komprehensif berdasarkan beberapa indikator, keandalan tinggi: Strategi ini secara komprehensif mempertimbangkan beberapa indikator teknis, yang saling melengkapi dalam kondisi pasar yang berbeda, memberikan cerminan komprehensif dari tren pasar dan menghindari kesalahan yang mungkin terjadi dengan satu indikator.
Kondisi masuk yang ketat, menghindari perdagangan yang sering: Strategi menetapkan kondisi masuk yang ketat, yang mengharuskan beberapa indikator untuk dipenuhi secara bersamaan sebelum memasuki posisi, yang secara efektif menghindari perdagangan yang sering di pasar yang terbatas pada kisaran dan mengurangi attrisi strategi.
Analisis multi-frame waktu, memahami tren besar: Strategi melakukan analisis di beberapa kerangka waktu, yang membantu strategi memahami tren utama pasar dari perspektif yang lebih luas, menghindari gangguan dari kebisingan jangka pendek.
Strategi stop-loss yang jelas, risiko yang dapat dikendalikan: Strategi menggunakan SuperTrend sebagai kondisi stop-loss. Setelah tren pasar berubah, strategi dapat menghentikan kerugian secara tepat waktu, menjaga kerugian dalam kisaran yang dapat diterima.
Kurangnya penyesuaian dinamis, kemampuan terbatas untuk menanggapi perubahan pasar: Pengaturan parameter strategi ini tetap dan tidak memiliki kemampuan untuk menyesuaikan secara dinamis sesuai dengan kondisi pasar.
Kondisi masuk yang terlalu ketat dapat kehilangan peluang yang baik: Kondisi masuk strategi sangat ketat, yang, meskipun dapat menghindari perdagangan yang sering, juga dapat menyebabkan strategi kehilangan beberapa peluang masuk yang baik.
Adaptasi terhadap kondisi pasar yang ekstrim tidak diketahui: Strategi ini berkinerja baik dalam kondisi pasar normal, tetapi adaptasinya terhadap beberapa kondisi pasar yang ekstrim, seperti pembalikan yang cepat dan substansial, masih harus diuji.
Strategi stop-loss yang relatif sederhana, ruang untuk optimasi: Saat ini, strategi hanya menggunakan SuperTrend sebagai kondisi stop-loss.
Memperkenalkan penilaian kondisi pasar, menyesuaikan parameter secara dinamis: Pertimbangkan untuk memperkenalkan beberapa indikator penilaian kondisi pasar, seperti indikator volatilitas, untuk menyesuaikan parameter strategi secara dinamis sesuai dengan perubahan kondisi pasar untuk beradaptasi dengan lingkungan pasar yang berbeda.
Mengoptimalkan kondisi masuk, meningkatkan sensitivitas: Pertimbangkan untuk mengoptimalkan kondisi masuk, seperti memperkenalkan lebih banyak indikator konfirmasi, untuk meningkatkan sensitivitas strategi sambil memastikan keandalan, menangkap lebih banyak peluang perdagangan.
Tambahkan tindakan tanggap terhadap kondisi pasar yang ekstrem: Untuk beberapa kondisi pasar yang ekstrem, seperti pembalikan yang cepat dan substansial, pertimbangkan untuk memperkenalkan beberapa tindakan tanggap khusus, seperti meningkatkan intensitas stop-loss atau menangguhkan perdagangan, untuk mengurangi risiko strategi dalam kondisi pasar yang ekstrem.
Mengoptimalkan strategi stop-loss, meningkatkan kemampuan pengendalian risiko: Pertimbangkan untuk memperkenalkan lebih banyak kondisi stop-loss, seperti stop-loss waktu, stop-loss kisaran, dll. Juga pertimbangkan untuk memperkenalkan beberapa strategi stop-loss dinamis, seperti trailing stop-loss, untuk mengontrol risiko dengan lebih baik.
TrendHunter w/MF Multi-Timeframe Trend Strategy adalah strategi mengikuti tren berdasarkan analisis multi-indikator, multi-frame time. Strategi ini, melalui pertimbangan komprehensif faktor-faktor seperti Ichimoku Cloud, Moving Averages, SuperTrend, WaveTrend, dan MoneyFlow, pengaturan kondisi masuk yang ketat, dan analisis multi-frame time, dapat menangkap tren utama pasar dengan relatif andal, menghindari perdagangan sering di pasar yang terikat kisaran, dan memiliki stabilitas dan keandalan yang baik.
Pada saat yang sama, strategi ini juga memiliki beberapa keterbatasan dan risiko, seperti kurangnya kemampuan penyesuaian dinamis, kondisi masuk yang berpotensi terlalu ketat, kemampuan beradaptasi yang tidak diketahui terhadap kondisi pasar yang ekstrem, dan strategi stop-loss yang relatif sederhana.
Secara keseluruhan, TrendHunter w/MF Multi-Timeframe Trend Strategy adalah strategi trend-following dengan potensi yang baik. Saat menggunakan strategi ini, trader harus sepenuhnya memahami prinsip, keuntungan, dan risikonya, dan melakukan penyesuaian dan optimalisasi yang diperlukan sesuai dengan preferensi risiko dan gaya trading mereka sendiri. Pada saat yang sama, mereka juga harus memantau perubahan kondisi pasar dan menyesuaikan strategi secara tepat waktu untuk beradaptasi dengan perubahan pasar. Hanya berdasarkan pemahaman yang mendalam dan penggunaan yang bijaksana strategi ini dapat memberikan manfaat penuh terhadap potensi keuntungannya dan membawa pengembalian yang stabil bagi trader.
/*backtest start: 2024-02-01 00:00:00 end: 2024-02-29 23:59:59 period: 1h basePeriod: 15m 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/ // © godzcopilot / blockybears // Thanks to anthonyf50 for his MTF Ichimoku https://www.tradingview.com/script/Pw9cBFma/ // Thanks to KivancOzbilgic for his SuperTrend https://www.tradingview.com/script/r6dAP7yi/ // Thanks to ZenAndTheArtOfTrading / PineScriptMastery for their Higher Timeframe EMA https://www.tradingview.com/script/Vh3XG9sD-Higher-Timeframe-EMA/ // Thanks to LazyBear for WaveTrend Oscillator https://www.tradingview.com/script/2KE8wTuF-Indicator-WaveTrend-Oscillator-WT/ // Thanks to andreholanda73 for MFI+RSI Area https://www.tradingview.com/script/UlGZzUAr/ //@version=5 strategy("TrendHunter w/MF [Blocky]", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=80, initial_capital=1000, pyramiding=0) // ================ // Strategy Inputs // ================ // Defines user inputs for configuring the strategy. // Inputs for EMA len = input.int(title="EMA Length", defval=200, group ='== EMA ==') col = input.bool(title="Colour EMA", defval=true, group ='== EMA ==') // SuperTrend Periods = input(title='ATR: Period', defval=10, group = '== Supertrend ==', inline = 'atr') Multiplier = input.float(title='Mult', step=0.1, defval=3.0, group = '== Supertrend ==', inline = 'atr') Src = input.source(title='Src', defval=hl2, group = '== Supertrend ==', inline = 'atr') // Ichimoku conversionPeriods = input.int(9, minval=1, title='Conversion', group = '== Ichimoku ==', inline = 'ich1') basePeriods = input.int(26, minval=1, title='Base', group = '== Ichimoku ==', inline = 'ich1') laggingSpan2Periods = input.int(52, minval=1, title='Lagging', group = '== Ichimoku ==', inline = 'ich2') displacement = input.int(26, minval=1, title='Displacement', group = '== Ichimoku ==', inline = 'ich2') // Ichimoku Display Options isActiveConversion = input(false, 'Conversion', group = '== Ichimoku ==', inline = 'lines1') isActiveBase = input(false, 'Base', group = '== Ichimoku ==', inline = 'lines1') isActiveLagging = input(false, 'Lagging', group = '== Ichimoku ==', inline = 'lines1') isActiveCloud = input(true, 'Cloud', group = '== Ichimoku ==', inline = 'lines1') // Input for WaveTrend n1 = input(9, 'Channel Length', group = '== WaveTrend ==', inline = 'wt1') n2 = input(12, 'Average Length', group = '== WaveTrend ==', inline = 'wt1') obLevel = input(60, 'Over Bought', group = '== WaveTrend ==', inline = 'wt2') osLevel = input(-60, 'Over Sold', group = '== WaveTrend ==', inline = 'wt2') // Input for Money Flow rsiMFIperiod = input(60, 'Money Flow Length', group = '== Money Flow ==', inline = 'mf') rsiMFIMultiplier = input(190, 'RSI+MFI Area multiplier', group = '== Money Flow ==', inline = 'mf') MFRSIMA = input.string(defval='SMA', title='Money Flow MA Type', options=['RMA', 'SMA', 'EMA', 'WMA', 'VWMA'], group = '== Money Flow ==', inline = 'mf') // ================ // Strategy Options // ================ bTable = input.bool(false, title='Trade Table', group='== Strategy Options ==', tooltip = "Show table that shows current selected options and trade trade entry parameters") bLong = input.bool(true, title='Enter Longs', group='== Strategy Options ==', inline = 'LongShort') bShort = input.bool(true, title='Enter Shorts', group='== Strategy Options ==', inline = 'LongShort', tooltip = "Filter long / short trade signals") bPriceCloud = input.bool(true, title='Price outside cloud', group='== Strategy Options ==', inline='PriceCloud') priceActionOption = input.string(title="", defval="Close", options=["Close", "Candle Body", "Full Candle"], group = "== Strategy Options ==", inline='PriceCloud') bPriceEMA = input.bool(false, title='Price above/below EMA', group='== Strategy Options ==', inline='PriceEMA') priceEMAOption = input.string(title="", defval="Close", options=["Close", "Candle Body", "Full Candle"], group = "== Strategy Options ==", inline='PriceEMA') bSuper = input.bool(true, title='Supertrend transistions', group='== Strategy Options ==', tooltip = "Trade in direction of the supertrend transitions") bEMACloud1 = input.bool(true, title='EMA Outside Cloud', group='== Strategy Options ==', tooltip = "EMA must be outside the ichimoku cloud") bEMACloud2 = input.bool(false, title='EMA above/below Cloud', group='== Strategy Options ==', tooltip = "Longs when EMA above the cloud.\nShort when EMA below the cloud") bMFI = input.bool(false, title='Money Flow', group='== Strategy Options ==', tooltip = "Money Flow Green for Long\nMoney Flow Red for Short") bWT = input.bool(false, title='Wavetrend', group='== Strategy Options ==', inline = 'WT') bWTOB = input.bool(false, title='Overbought/sold', group='== Strategy Options ==', tooltip = "Longs when WT Rising\nShort when WT Falling\n\nRestrict entries if in overbough or oversold levels",inline = 'WT') bExitHTFTrail = input.bool(true, title='Super Trend Exits', group='== Strategy Options ==', inline = 'Exits') // =========================== // EMA Functions and Plotting // =========================== // Calculate EMA ema = ta.ema(close, len) emaSmooth = request.security(syminfo.tickerid, "", ema[barstate.isrealtime ? 1 : 0], gaps=barmerge.gaps_on)[barstate.isrealtime ? 0 : 1] // Draw EMA plot(emaSmooth, color=col ? (close > emaSmooth ? color.rgb(76, 163, 175) : color.rgb(6, 23, 173)) : color.black, linewidth=2, title="HTF EMA") // ================================== // Supertrend Functions and Plotting // ================================== // Function to calculate SuperTrend calcSuperTrend(src, atrPeriods, multiplier) => atr = ta.atr(atrPeriods) up = src - multiplier * atr up1 = nz(up[1], up) up := close[1] > up1 ? math.max(up, up1) : up dn = src + multiplier * atr dn1 = nz(dn[1], dn) dn := close[1] < dn1 ? math.min(dn, dn1) : dn trend = 1 trend := nz(trend[1], trend) trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend [up, dn, trend] // Fetching the higher time frame data [HTF_up, HTF_dn, HTF_trend] = request.security(syminfo.tickerid, "", calcSuperTrend(hl2, Periods, Multiplier), lookahead=barmerge.lookahead_on) // Plotting for the higher time frame plot(HTF_trend == 1 ? HTF_up : HTF_dn, title='HTF Up Trend', color= HTF_trend == 1 ? color.green : color.red, linewidth=4) // =============================== // Ichimoku Functions and Plotting // =============================== // Function to convert timeframe to hours f_convertTimeframeToHours(tf) => val = 0.0 if tf == "1S" or tf == "S" val := 1.0 / 3600.0 else if str.contains(tf, "S") val := str.tonumber(str.replace(tf, "S", "")) / 3600.0 else if tf == "1D" or tf == "D" val := 24.0 else if str.contains(tf, "D") val := str.tonumber(str.replace(tf, "D", "")) * 24.0 else if tf == "1W" or tf == "W" val := 24.0 * 7.0 else if str.contains(tf, "W") val := str.tonumber(str.replace(tf, "W", "")) * 24.0 * 7.0 else if tf == "1M" or tf == "M" val := 24.0 * 30.0 // Approximation for a month else if str.contains(tf, "M") val := str.tonumber(str.replace(tf, "M", "")) * 24.0 * 30.0 // Approximation for months else // Default to minutes val := str.tonumber(tf) / 60.0 val // Time timeOffset = time - time[1] // Returns the displacement based on the chart / HTF resolution f_getDisplacement(_res) => _res == '' ? displacement : math.round(f_convertTimeframeToHours(_res) / f_convertTimeframeToHours(timeframe.period) * displacement) //f_avgDilationOf(_res) * displacement // Returns average value between lowest and highest f_avgLH(_len) => math.avg(ta.lowest(_len), ta.highest(_len)) // Returns f_donchian data f_donchian(_tf, _src) => request.security(syminfo.tickerid, _tf, _src, barmerge.gaps_off, barmerge.lookahead_on) // Returns ichimoku data f_ichimokuData(_tf) => _isShow = _tf == '' or f_convertTimeframeToHours(_tf) >= f_convertTimeframeToHours(timeframe.period) _displacement = _isShow ? f_getDisplacement(_tf) : na _Conversion = _isShow ? f_donchian(_tf, f_avgLH(conversionPeriods)) : na _Base = _isShow ? f_donchian(_tf, f_avgLH(basePeriods)) : na _Lagging = _isShow ? f_donchian(_tf, close) : na _SSA = _isShow ? math.avg(_Conversion, _Base) : na _SSB = _isShow ? f_donchian(_tf, f_avgLH(laggingSpan2Periods)) : na _middleCloud = _isShow ? _SSA[0] > _SSB[0] ? _SSA[0] - math.abs(_SSA[0] - _SSB[0]) / 2 : _SSA[0] + math.abs(_SSA[0] - _SSB[0]) / 2 : na [_displacement, _Conversion, _Base, _Lagging, _SSA, _SSB, _middleCloud] // Plotting ichimoku data [Displacement, Conversion, Base, Lagging, SSA, SSB, fisrtMiddleCloud] = f_ichimokuData("") // ————— Conversion plot(isActiveConversion ? Conversion : na, color=color.new(color.blue, 0), title=' Conversion', linewidth=1) // ————— Base plot(isActiveBase ? Base : na, color=color.new(color.fuchsia, 0), title=' Base', linewidth=2) // ————— Lagging plot(isActiveLagging ? Lagging : na, offset=-Displacement, color=color.new(color.green, 0), title=' Lagging') // ————— SSA + SSB ssa = plot(isActiveCloud ? SSA : na, offset=Displacement, color=color.new(color.green, 0), title=' SSA', linewidth=1) ssb = plot(isActiveCloud ? SSB : na, offset=Displacement, color=color.new(color.red, 0), title=' SSB', linewidth=1) fill(ssa, ssb, color=color.new(SSA > SSB ? color.green : color.red , 80), title=' Cloud') // =============================== // Makret Cypher Additions // =============================== // WaveTrend calculations 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, 3) // WaveTrend plotting //plot(0, color=color.rgb(120, 123, 134), title='Zero Line') //plot(emaSmooth + wt1, color=color.rgb(191, 228, 255), style=plot.style_linebr, title='WaveTrend 1') //plot(emaSmooth + wt2, color=color.rgb(56, 56, 56, 40), style=plot.style_linebr, title='WaveTrend 2') // WaveTrend shapes plotshape(ta.crossover(wt1, wt2) and wt2[2] < osLevel ? close : na, title='Pos Crossover', location=location.belowbar, style=shape.cross, size=size.small, color=color.rgb(63, 255, 0, 60)) plotshape(ta.crossover(wt2, wt1) and wt1[2] > osLevel ? close : na, title='Neg Crossover', location=location.abovebar, style=shape.cross, size=size.small, color=color.rgb(255, 82, 82, 60)) plotshape(ta.crossover(wt1, wt2) and osLevel ? close : na, title='Positive Crossover', location=location.belowbar, style=shape.triangleup, size=size.tiny, color=color.rgb(63, 255, 0, 60)) plotshape(ta.crossover(wt2, wt1) and obLevel ? close : na, title='Negative Crossover', location=location.abovebar, style=shape.triangledown, size=size.tiny, color=color.rgb(255, 82, 82, 60)) // Function to determine WaveTrend direction and steepness isWaveTrendUp() => wt1Slope = wt1 - wt1[1] wt2Slope = wt2 - wt2[1] if wt1 > wt2 // wt1Slope > 0 and wt2Slope > 0 1 // Both are going up else if wt1 < wt2 // wt1Slope < 0 and wt2Slope < 0 2 // Both are going down else na // Trends are not in the same direction ma(matype, src, length) => if matype == 'RMA' ta.rma(src, length) else if matype == 'SMA' ta.sma(src, length) else if matype == 'EMA' ta.ema(src, length) else if matype == 'WMA' ta.wma(src, length) else if matype == 'VWMA' ta.vwma(src, length) else src // Money Flow calculations candleValue = (close - open) / (high - low) MVC = ma(MFRSIMA, candleValue, rsiMFIperiod) MVC := MVC * rsiMFIMultiplier mfi_transp = math.abs(MVC) > 35 ? 0 : math.abs(MVC) > 30 ? 20 : math.abs(MVC) > 25 ? 30 : math.abs(MVC) > 20 ? 40 : math.abs(MVC) > 15 ? 50 : math.abs(MVC) > 10 ? 60 : math.abs(MVC) > 5 ? 65 : math.abs(MVC) > 2 ? 70 : 80 color_area = MVC > 0 ? color.rgb(76, 255, 80, mfi_transp) : color.rgb(255, 82, 82, mfi_transp) // Money Flow plotting // RSIMFIplot = plot(MVC * rsiMFIMultiplier, title='Money Flow', color=color_area, style=plot.style_area) // fill(RSIMFIplot, plot(0), color_area) plotshape(MVC > 0 ? true : na, title='MFI', location=location.top, style=shape.labeldown, size= size.tiny, color=color_area) plotshape(MVC < 0 ? true : na, title='MFI', location=location.top, style= shape.labelup, size= size.tiny, color=color_area) // =============================== // Strategy Entries // =============================== // Checks whether price is inside the Ichimoku cloud f_PriceCloud(dir) => _enter = false if bPriceCloud if bLong and dir == 1 _enter := switch priceActionOption "Close" => close > math.max(SSA[Displacement], SSB[Displacement]) "Candle Body" => open > math.max(SSA[Displacement], SSB[Displacement]) and close > math.max(SSA[Displacement], SSB[Displacement]) "Full Candle" => low > math.max(SSA[Displacement], SSB[Displacement]) and high > math.max(SSA[Displacement], SSB[Displacement]) if bShort and dir == 2 _enter := switch priceActionOption "Close" => close < math.min(SSA[Displacement], SSB[Displacement]) "Candle Body" => open < math.min(SSA[Displacement], SSB[Displacement]) and close < math.min(SSA[Displacement], SSB[Displacement]) "Full Candle" => low < math.min(SSA[Displacement], SSB[Displacement]) and high < math.min(SSA[Displacement], SSB[Displacement]) else _enter := na _enter // Checks whether price is above / below the ema f_PriceEMA(dir) => _enter = false if bPriceEMA if bLong and dir == 1 _enter := switch priceEMAOption "Close" => close > math.max(SSA[Displacement], SSB[Displacement]) "Candle Body" => open > math.max(SSA[Displacement], SSB[Displacement]) and close > math.max(SSA[Displacement], SSB[Displacement]) "Full Candle" => low > math.max(SSA[Displacement], SSB[Displacement]) and high > math.max(SSA[Displacement], SSB[Displacement]) if bShort and dir == 2 _enter := switch priceEMAOption "Close" => close < math.min(SSA[Displacement], SSB[Displacement]) "Candle Body" => open < math.min(SSA[Displacement], SSB[Displacement]) and close < math.min(SSA[Displacement], SSB[Displacement]) "Full Candle" => low < math.min(SSA[Displacement], SSB[Displacement]) and high < math.min(SSA[Displacement], SSB[Displacement]) else _enter := na _enter // Checks HTF supertrend direction f_Super(dir) => _enter = false if bSuper if bLong and dir == 1 _enter := HTF_trend == 1 if bShort and dir == 2 _enter := HTF_trend == -1 else _enter := na _enter // Checks whether ema is inside the Ichimoku cloud f_EMACloud1(dir) => _enter = false if bEMACloud1 if bLong and dir == 1 _enter := (emaSmooth > math.max(SSA[Displacement], SSB[Displacement])) or (emaSmooth < math.min(SSA[Displacement], SSB[Displacement])) if bShort and dir == 2 _enter := (emaSmooth > math.max(SSA[Displacement], SSB[Displacement])) or (emaSmooth < math.min(SSA[Displacement], SSB[Displacement])) else _enter := na _enter // Checks whether ema is above/below Ichimoku cloud f_EMACloud2(dir) => _enter = false if bEMACloud2 if bLong and dir == 1 _enter := emaSmooth > math.max(SSA[Displacement], SSB[Displacement]) if bShort and dir == 2 _enter := emaSmooth < math.min(SSA[Displacement], SSB[Displacement]) else _enter := na _enter // Checks whether moneyflow is positive f_MFI(dir) => _enter = false if bMFI if bLong and dir == 1 _enter := MVC > 0 if bShort and dir == 2 _enter := MVC < 0 else _enter := na _enter // Checks whether wavetrend is rising or falling f_WT(dir) => _enter = false if bWT if bLong and dir == 1 _enter := isWaveTrendUp() == dir if bShort and dir == 2 _enter := isWaveTrendUp() == dir else _enter := na _enter f_WTOB(dir) => _enter = false if bWT and bWTOB if bLong and dir == 1 _enter := wt1 < obLevel if bShort and dir == 2 _enter := wt1 > osLevel else _enter := na _enter // Check if a value is 'na' or true. f_NATrue(val) => _enter = false if na(val) _enter := true if val _enter := true _enter // Consolidates entry conditions. f_checkCondition(dir) => _enter = false if na(f_PriceCloud(dir)) and na(f_PriceEMA(dir)) and na(f_Super(dir)) and na(f_EMACloud1(dir)) and na(f_EMACloud2(dir)) and na(f_MFI(dir)) and na(f_WT(dir)) and na(f_WTOB(dir)) _enter := false else if f_NATrue(f_PriceCloud(dir)) and f_NATrue(f_PriceEMA(dir)) and f_NATrue(f_Super(dir)) and f_NATrue(f_EMACloud1(dir)) and f_NATrue(f_EMACloud2(dir)) and f_NATrue(f_MFI(dir)) and f_NATrue(f_WT(dir)) and f_NATrue(f_WTOB(dir)) _enter := true _enter // Execute long trade entries longCondition = bLong and f_checkCondition(1) if (longCondition) strategy.entry("Long", strategy.long) // Execute short trade entries shortCondition = bShort and f_checkCondition(2) if (shortCondition) strategy.entry("Short", strategy.short) // Excute trade exits exitLong = (bExitHTFTrail and (close < HTF_up or HTF_trend == -1)) exitShort = (bExitHTFTrail and (close > HTF_dn or HTF_trend == 1)) if exitLong strategy.close("Long") if exitShort strategy.close("Short") // Creates a table shoing all the user options and their current status for entering a trade if bTable // Create a table tbl = table.new(position = position.bottom_right, columns = 4, rows = 11, bgcolor=color.new(color.black,100), border_width = 0, frame_width = 0) table.cell(tbl, 1, 0, "Selected", text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 0, "Long", bgcolor=na(bLong) ? color.new(color.black,100) : bShort ? color.rgb(4, 112, 8) : color.rgb(100, 7, 7), text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 0, "Short", bgcolor=na(bShort) ? color.new(color.black,100) : bShort ? color.rgb(4, 112, 8) : color.rgb(100, 7, 7), text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 1, "Entry", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 1, longCondition ? "✓" : "✗", bgcolor=longCondition ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 1, shortCondition ? "✓" : "✗", bgcolor=shortCondition ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 3, "Price Cloud", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 3, bPriceCloud ? "✓" : "✗", bgcolor=na(bPriceCloud) ? color.new(color.black,100) : bPriceCloud ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 3, f_PriceCloud(1) ? "✓" : "✗", bgcolor=na(f_PriceCloud(1)) ? color.new(color.black,100) : f_PriceCloud(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 3, f_PriceCloud(2) ? "✓" : "✗", bgcolor=na(f_PriceCloud(2)) ? color.new(color.black,100) : f_PriceCloud(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 4, "Price EMA", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 4, bPriceEMA ? "✓" : "✗", bgcolor=na(bPriceEMA) ? color.new(color.black,100) : bPriceEMA ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 4, f_PriceEMA(1) ? "✓" : "✗", bgcolor=na(f_PriceEMA(1)) ? color.new(color.black,100) : f_PriceEMA(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 4, f_PriceEMA(2) ? "✓" : "✗", bgcolor=na(f_PriceEMA(2)) ? color.new(color.black,100) : f_PriceEMA(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 5, "SuperTrend", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 5, bSuper ? "✓" : "✗", bgcolor=na(bSuper) ? color.new(color.black,100) : bSuper ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 5, f_Super(1) ? "✓" : "✗", bgcolor=na(f_Super(1)) ? color.new(color.black,100) : f_Super(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 5, f_Super(2) ? "✓" : "✗", bgcolor=na(f_Super(2)) ? color.new(color.black,100) : f_Super(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 6, "EMA Outside Cloud", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 6, bEMACloud1 ? "✓" : "✗", bgcolor=na(bEMACloud1) ? color.new(color.black,100) : bEMACloud1 ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 6, f_EMACloud1(1) ? "✓" : "✗", bgcolor=na(f_EMACloud1(1)) ? color.new(color.black,100) : f_EMACloud1(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 6, f_EMACloud1(2) ? "✓" : "✗", bgcolor=na(f_EMACloud1(2)) ? color.new(color.black,100) : f_EMACloud1(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 7, "EMA Above/Below Cloud", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 7, bEMACloud2 ? "✓" : "✗", bgcolor=na(bEMACloud2) ? color.new(color.black,100) : bEMACloud2 ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 7, f_EMACloud2(1) ? "✓" : "✗", bgcolor=na(f_EMACloud2(1)) ? color.new(color.black,100) : f_EMACloud2(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 7, f_EMACloud2(2) ? "✓" : "✗", bgcolor=na(f_EMACloud2(2)) ? color.new(color.black,100) : f_EMACloud2(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 8, "Moneyflow", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 8, bMFI ? "✓" : "✗", bgcolor=na(bMFI) ? color.new(color.black,100) : bMFI ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 8, f_MFI(1) ? "✓" : "✗", bgcolor=na(f_MFI(1)) ? color.new(color.black,100) : f_MFI(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 8, f_MFI(2) ? "✓" : "✗", bgcolor=na(f_MFI(2)) ? color.new(color.black,100) : f_MFI(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 9, "WaveTrend", text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 9, bWT ? "✓" : "✗", bgcolor=na(bWT) ? color.new(color.black,100) : bWT ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 9, f_WT(1) ? "✓" : "✗", bgcolor=na(f_WT(1)) ? color.new(color.black,100) : f_WT(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 9, f_WT(2) ? "✓" : "✗", bgcolor=na(f_WT(2)) ? color.new(color.black,100) : f_WT(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 0, 10, "Overbought/Sold " + str.tostring(wt1, '#.#'), text_halign = text.align_left, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 1, 10, bWTOB ? "✓" : "✗", bgcolor=na(bWTOB) ? color.new(color.black,100) : bWTOB ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 2, 10, f_WTOB(1) ? "✓" : "✗", bgcolor=na(f_WTOB(1)) ? color.new(color.black,100) : f_WTOB(1) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207)) table.cell(tbl, 3, 10, f_WTOB(2) ? "✓" : "✗", bgcolor=na(f_WTOB(2)) ? color.new(color.black,100) : f_WTOB(2) ? color.green : color.red, text_halign = text.align_center, text_size = size.small, text_color = color.rgb(207, 207, 207))