La Estrategia del cazador de tendencias multitimeframe es una estrategia que utiliza múltiples indicadores para generar señales comerciales automatizadas.
La lógica central de esta estrategia es juzgar la dirección de la tendencia simultáneamente en los marcos de tiempo más altos y más bajos. La estrategia primero calcula el promedio móvil clave, las líneas de Supertrend, la conversión de Ichimoku y las líneas base, etc. en el marco de tiempo más alto. Luego calcula las líneas de Supertrend en el marco de tiempo más bajo. Cuando las direcciones de Supertrend en ambos marcos de tiempo se alinean, se confirma la dirección general de la tendencia. Además, la estrategia también verifica si el precio rompe a través del promedio móvil o la nube de Ichimoku para validar aún más la confiabilidad de la tendencia.
Una vez que se cumplen ciertos criterios, la estrategia generará señales de compra o venta. Los usuarios pueden elegir solo comerciar con compras largas, cortas o ambas basándose en sus necesidades. Los usuarios también pueden optimizar parámetros como promedio móvil, Supertrend, Ichimoku, etc. para mejorar el rendimiento de la estrategia.
La mayor ventaja de esta estrategia es la combinación de múltiples marcos de tiempo e indicadores, lo que mejora en gran medida la precisión de la tendencia y detecta oportunamente las oportunidades de reversión.
Los principales riesgos son la configuración inadecuada de parámetros que conducen a un exceso de negociación o a oportunidades perdidas.
Hay más margen para optimizar esta estrategia:
En conclusión, la Estrategia del cazador de tendencias multitemporal aprovecha múltiples indicadores a través de marcos de tiempo para determinar la tendencia y capturar las reversiones a tiempo.
/*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 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/ //@version=5 strategy("TrendHunter [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. // Higher Time Frame Selection HTF_TimeFrame = input.timeframe(title='Higher Time Frame', defval='60', group = '== Timeframe ==', tooltip = "Select Chart for standard functionality") // 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 ==') Multiplier = input.float(title='ATR Multiplier', step=0.1, defval=3.0, group = '== Supertrend ==') Src = input.source(title='Source', defval=hl2, group = '== Supertrend ==') // Ichimoku conversionPeriods = input.int(9, minval=1, title='Conversion Line Periods', group = '== Ichimoku ==') basePeriods = input.int(26, minval=1, title='Base Line Periods', group = '== Ichimoku ==') laggingSpan2Periods = input.int(52, minval=1, title='Lagging Span 2 Periods', group = '== Ichimoku ==') displacement = input.int(26, minval=1, title='Displacement', group = '== Ichimoku ==') // Ichimoku Display Options isActiveConversion = input(false, 'Conversion Line', group = '== Ichimoku ==', inline = 'lines1') isActiveBase = input(false, 'Base Line', group = '== Ichimoku ==', inline = 'lines1') isActiveLagging = input(false, 'Lagging Span', group = '== Ichimoku ==', inline = 'lines2') isActiveCloud = input(true, 'Cloud', group = '== Ichimoku ==', inline = 'lines2') // ================ // Strategy Options // ================ bTable = input.bool(true, 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') bPriceCloudBody = input.bool(false, title='Full Body', group='== Strategy Options ==', inline='PriceCloud', tooltip = 'Only trade when price action outside the cloud.\nLongs when price action above the cloud.\nShort when price action below the cloud') bPriceEMA = input.bool(false, title='Price above/below EMA', group='== Strategy Options ==', inline='PriceEMA') bPriceEMABody = input.bool(false, title='Full Body', group='== Strategy Options ==', inline='PriceEMA', tooltip = 'Longs when price action above the EMA.\nShort when price action below the EMA') bSuper = input.bool(true, title='Supertrend transistions', group='== Strategy Options ==', tooltip = "Trade in direction of the supertrend transitions") bLTF = input.bool(false, title='LTF/HTF Supertrend alignment', group='== Strategy Options ==', tooltip = "Utilise a dual supertrends, chart and defined higher time frame") 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") bExitHTFTrail = input.bool(true, title='Super Trend Exits: HTF', group='== Strategy Options ==', inline = 'Exits') bExitLTFTrail = input.bool(true, title='LTF', group='== Strategy Options ==', inline = 'Exits', tooltip = 'Exit trades when price crosses the supertrend line\nIf neither selected trade closes when opposite trade opens\nIf using LTF closes turn on HTF/LTF alignment') // =========================== // EMA Functions and Plotting // =========================== // Calculate EMA ema = ta.ema(close, len) emaSmooth = request.security(syminfo.tickerid, HTF_TimeFrame, 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] // Calculate SuperTrend for the current time frame [up, dn, trend] = calcSuperTrend(Src, Periods, Multiplier) // Plotting for the current time frame plot(trend == 1 ? up : dn, title='LTF Supertrend', color=trend == 1 ?color.green : color.red, linewidth=1, style = plot.style_stepline) // Fetching the higher time frame data [HTF_up, HTF_dn, HTF_trend] = request.security(syminfo.tickerid, HTF_TimeFrame, 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(HTF_TimeFrame) // ————— 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') // =============================== // Strategy Entries // =============================== // Checks whether price is inside the Ichimoku cloud f_PriceCloud(dir) => _enter = false if bPriceCloud if bLong and dir == 1 if bPriceCloudBody _enter := close > math.max(SSA[Displacement], SSB[Displacement]) and open > math.max(SSA[Displacement], SSB[Displacement]) else _enter := close > math.max(SSA[Displacement], SSB[Displacement]) if bShort and dir == 2 if bPriceCloudBody _enter := close < math.min(SSA[Displacement], SSB[Displacement]) and open < math.min(SSA[Displacement], SSB[Displacement]) else _enter := close < 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 if bPriceEMABody _enter := close > emaSmooth and open > emaSmooth else _enter := close > emaSmooth if bShort and dir == 2 if bPriceEMABody _enter := close < emaSmooth and open < emaSmooth else _enter := close < emaSmooth 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 LTF supertrend direction f_LTF(dir) => _enter = false if bLTF if bLong and dir == 1 _enter := trend == 1 and HTF_trend == 1 if bShort and dir == 2 _enter := trend == -1 and 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 // 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_LTF(dir)) and na(f_EMACloud1(dir)) and na(f_EMACloud2(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_LTF(dir)) and f_NATrue(f_EMACloud1(dir)) and f_NATrue(f_EMACloud2(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)) or (bExitLTFTrail and (close < up or trend == -1)) exitShort = (bExitHTFTrail and (close > HTF_dn or HTF_trend == 1)) or (bExitLTFTrail and (close > dn or 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 = 9, bgcolor=color.new(color.white, 50), border_width = 1) table.cell(tbl, 1, 0, "Selected") table.cell(tbl, 2, 0, "Long", bgcolor=na(bLong) ? color.gray : bShort ? color.rgb(4, 112, 8) : color.rgb(100, 7, 7)) table.cell(tbl, 3, 0, "Short", bgcolor=na(bShort) ? color.gray : bShort ? color.rgb(4, 112, 8) : color.rgb(100, 7, 7)) table.cell(tbl, 0, 1, "Entry") table.cell(tbl, 2, 1, str.tostring(longCondition), bgcolor=longCondition ? color.green : color.red) table.cell(tbl, 3, 1, str.tostring(shortCondition), bgcolor=shortCondition ? color.green : color.red) table.cell(tbl, 0, 3, "Price Cloud") table.cell(tbl, 1, 3, str.tostring(bPriceCloud), bgcolor=na(bPriceCloud) ? color.gray : bPriceCloud ? color.green : color.red) table.cell(tbl, 2, 3, str.tostring(f_PriceCloud(1)), bgcolor=na(f_PriceCloud(1)) ? color.gray : f_PriceCloud(1) ? color.green : color.red) table.cell(tbl, 3, 3, str.tostring(f_PriceCloud(2)), bgcolor=na(f_PriceCloud(2)) ? color.gray : f_PriceCloud(2) ? color.green : color.red) table.cell(tbl, 0, 4, "Price EMA") table.cell(tbl, 1, 4, str.tostring(bPriceEMA), bgcolor=na(bPriceEMA) ? color.gray : bPriceEMA ? color.green : color.red) table.cell(tbl, 2, 4, str.tostring(f_PriceEMA(1)), bgcolor=na(f_PriceEMA(1)) ? color.gray : f_PriceEMA(1) ? color.green : color.red) table.cell(tbl, 3, 4, str.tostring(f_PriceEMA(2)), bgcolor=na(f_PriceEMA(2)) ? color.gray : f_PriceEMA(2) ? color.green : color.red) table.cell(tbl, 0, 5, "SuperTrend") table.cell(tbl, 1, 5, str.tostring(bSuper), bgcolor=na(bSuper) ? color.gray : bSuper ? color.green : color.red) table.cell(tbl, 2, 5, str.tostring(f_Super(1)), bgcolor=na(f_Super(1)) ? color.gray : f_Super(1) ? color.green : color.red) table.cell(tbl, 3, 5, str.tostring(f_Super(2)), bgcolor=na(f_Super(2)) ? color.gray : f_Super(2) ? color.green : color.red) table.cell(tbl, 0, 6, "HTF/LTF") table.cell(tbl, 1, 6, str.tostring(bLTF), bgcolor=na(bLTF) ? color.gray : bLTF ? color.green : color.red) table.cell(tbl, 2, 6, str.tostring(f_LTF(1)), bgcolor=na(f_LTF(1)) ? color.gray : f_LTF(1) ? color.green : color.red) table.cell(tbl, 3, 6, str.tostring(f_LTF(2)), bgcolor=na(f_LTF(2)) ? color.gray : f_LTF(2) ? color.green : color.red) table.cell(tbl, 0, 7, "EMA Outside Cloud") table.cell(tbl, 1, 7, str.tostring(bEMACloud1), bgcolor=na(bEMACloud1) ? color.gray : bEMACloud1 ? color.green : color.red) table.cell(tbl, 2, 7, str.tostring(f_EMACloud1(1)), bgcolor=na(f_EMACloud1(1)) ? color.gray : f_EMACloud1(1) ? color.green : color.red) table.cell(tbl, 3, 7, str.tostring(f_EMACloud1(2)), bgcolor=na(f_EMACloud1(2)) ? color.gray : f_EMACloud1(2) ? color.green : color.red) table.cell(tbl, 0, 8, "EMA Above/Below Cloud") table.cell(tbl, 1, 8, str.tostring(bEMACloud2), bgcolor=na(bEMACloud2) ? color.gray : bEMACloud2 ? color.green : color.red) table.cell(tbl, 2, 8, str.tostring(f_EMACloud2(1)), bgcolor=na(f_EMACloud2(1)) ? color.gray : f_EMACloud2(1) ? color.green : color.red) table.cell(tbl, 3, 8, str.tostring(f_EMACloud2(2)), bgcolor=na(f_EMACloud2(2)) ? color.gray : f_EMACloud2(2) ? color.green : color.red)