该策略主要利用均线交叉原理,结合RSI指标反转信号,以及自定义的双线追踪算法实现均线交叉追踪交易。策略追踪两个不同周期的均线交叉,一个快速均线追踪短期趋势,另一个慢速均线追踪长期趋势。当快速均线向上穿过慢速均线时,表示短期趋势向上,可以买入;当快速均线向下穿过慢速均线时,表示短期趋势结束,应该平仓。
计算两组不同参数的VWAP均线,分别代表长期趋势和短期趋势
分别取两组天幕线和基准线的平均值作为慢速均线和快速均线
计算布林带指标判断盘整和突破
计算TSV指标判断交易量能量
计算RSI指标判断超买超卖
入场条件:
出场条件:
使用双均线系统,可以同时捕捉长短期趋势
RSI指标避免买入超买区域,卖出超卖区域
TSV指标确保有足够的交易量支撑趋势
利用布林带判断关键的突破点
多种指标组合,可以有效过滤假突破
均线系统容易产生错误信号,需要辅助指标过滤
RSI指标参数需要优化,否则可能错过买卖点
TSV指标对参数也很敏感,需要仔细测试
突破布林带上轨有可能是假突破,需要验证
多指标组合,参数优化难度大,容易过度优化
训练和测试数据不充分可能导致曲线拟合
测试更多周期参数,寻找最佳参数组合
尝试其他指标如MACD、KD替代或结合RSI
参数优化要充分利用walk forward分析
增加止损策略,以控制单笔损失
考虑加入机器学习模型辅助信号判断
针对不同市场调整参数,不要过度依赖单一参数组合
本策略通过双均线系统捕捉长短期趋势,同时使用RSI、TSV、布林带等多种指标过滤信号。策略优势是可以顺势而为,捕捉长期上升浪潮。但也存在一定的假信号风险,需要进一步优化参数并控制止损来降低风险。总体来说,该策略结合趋势跟踪和反转指标,在长线上升市场中效果较好,但需要针对不同市场做getParameter调整。
/*backtest start: 2022-10-23 00:00:00 end: 2023-10-29 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // @version=4 // Credits // "Vwap with period" code which used in this strategy to calculate the leadLine was written by "neolao" active on https://tr.tradingview.com/u/neolao/ // "TSV" code which used in this strategy was written by "liw0" active on https://www.tradingview.com/u/liw0. The code is corrected by "vitelot" December 2018. // "Vidya" code which used in this strategy was written by "everget" active on https://tr.tradingview.com/u/everget/ strategy("HYE Combo Market [Strategy] (Vwap Mean Reversion + Trend Hunter)", overlay = true, initial_capital = 1000, default_qty_value = 100, default_qty_type = strategy.percent_of_equity, commission_value = 0.025) //Strategy inputs source = input(title = "Source", defval = close, group = "Mean Reversion Strategy Inputs") smallcumulativePeriod = input(title = "Small VWAP", defval = 8, group = "Mean Reversion Strategy Inputs") bigcumulativePeriod = input(title = "Big VWAP", defval = 10, group = "Mean Reversion Strategy Inputs") meancumulativePeriod = input(title = "Mean VWAP", defval = 50, group = "Mean Reversion Strategy Inputs") percentBelowToBuy = input(title = "Percent below to buy %", defval = 2, group = "Mean Reversion Strategy Inputs") rsiPeriod = input(title = "Rsi Period", defval = 2, group = "Mean Reversion Strategy Inputs") rsiEmaPeriod = input(title = "Rsi Ema Period", defval = 5, group = "Mean Reversion Strategy Inputs") rsiLevelforBuy = input(title = "Maximum Rsi Level for Buy", defval = 30, group = "Mean Reversion Strategy Inputs") slowtenkansenPeriod = input(9, minval=1, title="Slow Tenkan Sen VWAP Line Length", group = "Trend Hunter Strategy Inputs") slowkijunsenPeriod = input(13, minval=1, title="Slow Kijun Sen VWAP Line Length", group = "Trend Hunter Strategy Inputs") fasttenkansenPeriod = input(3, minval=1, title="Fast Tenkan Sen VWAP Line Length", group = "Trend Hunter Strategy Inputs") fastkijunsenPeriod = input(7, minval=1, title="Fast Kijun Sen VWAP Line Length", group = "Trend Hunter Strategy Inputs") BBlength = input(20, minval=1, title= "Bollinger Band Length", group = "Trend Hunter Strategy Inputs") BBmult = input(2.0, minval=0.001, maxval=50, title="Bollinger Band StdDev", group = "Trend Hunter Strategy Inputs") tsvlength = input(20, minval=1, title="TSV Length", group = "Trend Hunter Strategy Inputs") tsvemaperiod = input(7, minval=1, title="TSV Ema Length", group = "Trend Hunter Strategy Inputs") length = input(title="Vidya Length", type=input.integer, defval=20, group = "Trend Hunter Strategy Inputs") src = input(title="Vidya Source", type=input.source, defval= hl2 , group = "Trend Hunter Strategy Inputs") // Vidya Calculation getCMO(src, length) => mom = change(src) upSum = sum(max(mom, 0), length) downSum = sum(-min(mom, 0), length) out = (upSum - downSum) / (upSum + downSum) out cmo = abs(getCMO(src, length)) alpha = 2 / (length + 1) vidya = 0.0 vidya := src * alpha * cmo + nz(vidya[1]) * (1 - alpha * cmo) // Make input options that configure backtest date range startDate = input(title="Start Date", type=input.integer, defval=1, minval=1, maxval=31, group = "Strategy Date Range") startMonth = input(title="Start Month", type=input.integer, defval=1, minval=1, maxval=12, group = "Strategy Date Range") startYear = input(title="Start Year", type=input.integer, defval=2000, minval=1800, maxval=2100, group = "Strategy Date Range") endDate = input(title="End Date", type=input.integer, defval=31, minval=1, maxval=31, group = "Strategy Date Range") endMonth = input(title="End Month", type=input.integer, defval=12, minval=1, maxval=12, group = "Strategy Date Range") endYear = input(title="End Year", type=input.integer, defval=2021, minval=1800, maxval=2100, group = "Strategy Date Range") inDateRange = true // Mean Reversion Strategy Calculation typicalPriceS = (high + low + close) / 3 typicalPriceVolumeS = typicalPriceS * volume cumulativeTypicalPriceVolumeS = sum(typicalPriceVolumeS, smallcumulativePeriod) cumulativeVolumeS = sum(volume, smallcumulativePeriod) smallvwapValue = cumulativeTypicalPriceVolumeS / cumulativeVolumeS typicalPriceB = (high + low + close) / 3 typicalPriceVolumeB = typicalPriceB * volume cumulativeTypicalPriceVolumeB = sum(typicalPriceVolumeB, bigcumulativePeriod) cumulativeVolumeB = sum(volume, bigcumulativePeriod) bigvwapValue = cumulativeTypicalPriceVolumeB / cumulativeVolumeB typicalPriceM = (high + low + close) / 3 typicalPriceVolumeM = typicalPriceM * volume cumulativeTypicalPriceVolumeM = sum(typicalPriceVolumeM, meancumulativePeriod) cumulativeVolumeM = sum(volume, meancumulativePeriod) meanvwapValue = cumulativeTypicalPriceVolumeM / cumulativeVolumeM rsiValue = rsi(source, rsiPeriod) rsiEMA = ema(rsiValue, rsiEmaPeriod) buyMA = ((100 - percentBelowToBuy) / 100) * bigvwapValue[0] inTrade = strategy.position_size > 0 notInTrade = strategy.position_size <= 0 if(crossunder(smallvwapValue, buyMA) and rsiEMA < rsiLevelforBuy and close < meanvwapValue and inDateRange and notInTrade) strategy.entry("BUY-M", strategy.long) if(close > meanvwapValue or not inDateRange) strategy.close("BUY-M") // Trend Hunter Strategy Calculation // Slow Tenkan Sen Calculation typicalPriceTS = (high + low + close) / 3 typicalPriceVolumeTS = typicalPriceTS * volume cumulativeTypicalPriceVolumeTS = sum(typicalPriceVolumeTS, slowtenkansenPeriod) cumulativeVolumeTS = sum(volume, slowtenkansenPeriod) slowtenkansenvwapValue = cumulativeTypicalPriceVolumeTS / cumulativeVolumeTS // Slow Kijun Sen Calculation typicalPriceKS = (high + low + close) / 3 typicalPriceVolumeKS = typicalPriceKS * volume cumulativeTypicalPriceVolumeKS = sum(typicalPriceVolumeKS, slowkijunsenPeriod) cumulativeVolumeKS = sum(volume, slowkijunsenPeriod) slowkijunsenvwapValue = cumulativeTypicalPriceVolumeKS / cumulativeVolumeKS // Fast Tenkan Sen Calculation typicalPriceTF = (high + low + close) / 3 typicalPriceVolumeTF = typicalPriceTF * volume cumulativeTypicalPriceVolumeTF = sum(typicalPriceVolumeTF, fasttenkansenPeriod) cumulativeVolumeTF = sum(volume, fasttenkansenPeriod) fasttenkansenvwapValue = cumulativeTypicalPriceVolumeTF / cumulativeVolumeTF // Fast Kijun Sen Calculation typicalPriceKF = (high + low + close) / 3 typicalPriceVolumeKF = typicalPriceKS * volume cumulativeTypicalPriceVolumeKF = sum(typicalPriceVolumeKF, fastkijunsenPeriod) cumulativeVolumeKF = sum(volume, fastkijunsenPeriod) fastkijunsenvwapValue = cumulativeTypicalPriceVolumeKF / cumulativeVolumeKF // Slow LeadLine Calculation lowesttenkansen_s = lowest(slowtenkansenvwapValue, slowtenkansenPeriod) highesttenkansen_s = highest(slowtenkansenvwapValue, slowtenkansenPeriod) lowestkijunsen_s = lowest(slowkijunsenvwapValue, slowkijunsenPeriod) highestkijunsen_s = highest(slowkijunsenvwapValue, slowkijunsenPeriod) slowtenkansen = avg(lowesttenkansen_s, highesttenkansen_s) slowkijunsen = avg(lowestkijunsen_s, highestkijunsen_s) slowleadLine = avg(slowtenkansen, slowkijunsen) // Fast LeadLine Calculation lowesttenkansen_f = lowest(fasttenkansenvwapValue, fasttenkansenPeriod) highesttenkansen_f = highest(fasttenkansenvwapValue, fasttenkansenPeriod) lowestkijunsen_f = lowest(fastkijunsenvwapValue, fastkijunsenPeriod) highestkijunsen_f = highest(fastkijunsenvwapValue, fastkijunsenPeriod) fasttenkansen = avg(lowesttenkansen_f, highesttenkansen_f) fastkijunsen = avg(lowestkijunsen_f, highestkijunsen_f) fastleadLine = avg(fasttenkansen, fastkijunsen) // BBleadLine Calculation BBleadLine = avg(fastleadLine, slowleadLine) // Bollinger Band Calculation basis = sma(BBleadLine, BBlength) dev = BBmult * stdev(BBleadLine, BBlength) upper = basis + dev lower = basis - dev // TSV Calculation tsv = sum(close>close[1]?volume*(close-close[1]):close<close[1]?volume*(close-close[1]):0,tsvlength) tsvema = ema(tsv, tsvemaperiod) // Rules for Entry & Exit if(fastleadLine > fastleadLine[1] and slowleadLine > slowleadLine[1] and tsv > 0 and tsv > tsvema and close > upper and close > vidya and inDateRange and notInTrade) strategy.entry("BUY-T", strategy.long) if((fastleadLine < fastleadLine[1] and slowleadLine < slowleadLine[1]) or not inDateRange) strategy.close("BUY-T") // Plots plot(meanvwapValue, title="MEAN VWAP", linewidth=2, color=color.yellow) //plot(vidya, title="VIDYA", linewidth=2, color=color.green) //colorsettingS = input(title="Solid Color Slow Leadline", defval=false, type=input.bool) //plot(slowleadLine, title = "Slow LeadLine", color = colorsettingS ? color.aqua : slowleadLine > slowleadLine[1] ? color.green : color.red, linewidth=3) //colorsettingF = input(title="Solid Color Fast Leadline", defval=false, type=input.bool) //plot(fastleadLine, title = "Fast LeadLine", color = colorsettingF ? color.orange : fastleadLine > fastleadLine[1] ? color.green : color.red, linewidth=3) //p1 = plot(upper, "Upper BB", color=#2962FF) //p2 = plot(lower, "Lower BB", color=#2962FF) //fill(p1, p2, title = "Background", color=color.blue) //plot(smallvwapValue, color=#13C425, linewidth=2) //plot(bigvwapValue, color=#CA1435, linewidth=2)