多时间框架趋势猎手策略(Multitimeframe Trend Hunter Strategy)是一个利用多种指标配合实现自动化交易信号的策略。该策略综合利用移动平均线、超级趋势指标和一云图指标等,在多个时间框架内判断趋势方向,以发现潜在的交易机会。
该策略的核心原理是同时在高时间框架和低时间框架判断趋势方向。策略首先在高时间框架计算出关键的移动平均线、超级趋势线和一云图的转换线、基准线等。然后在低时间框架计算出超级趋势线。当高低时间框架的超级趋势线方向一致时,即确认当前整体趋势方向。此外,该策略还要判断价格是否突破移动平均线或一云图的云,以进一步验证趋势的可靠性。
在满足一定条件后,该策略会产生买入或卖出的交易信号。用户可以根据自己的需要选择是否只交易长单、短单或都交易。此外,用户还可以配置移动平均线参数、超级趋势参数、一云图参数等,对策略的表现进行优化。
该策略最大的优势在于多时间框架和多指标的结合,这可以大大提高判断趋势方向的准确性,并及时发现反转机会。具体优势如下:
该策略的主要风险在于参数设置不当可能导致过于频繁交易或漏失机会。此外,指标发出错误信号也会造成损失。具体风险及解决方法如下:
该策略还有进一步优化的空间:
综上所述,多时间框架趋势猎手策略利用多指标和多时间框架判断趋势,能及时抓住反转机会,是一种表现较佳的量化交易策略。该策略集成度高、应用广泛,未来仍有很大的优化空间,值得量化交易者继续研究和应用。
/*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)