该策略是一个双轨道反向MACD量化交易策略。它借鉴了William Blau在他的著作《Momentum, Direction and Divergence》中描述的技术指标,并在此基础上进行了扩展。该策略同时具有回测功能,可以加上警报、过滤器、跟踪止损等附加功能。
该策略的核心指标是MACD。它计算快速移动平均线EMA®和慢速移动平均线EMA(slowMALen),然后计算它们的差值xmacd。另外计算xmacd的EMA(signalLength)得到xMA_MACD。当xmacd上穿xMA_MACD时做多,下穿时做空。该策略的关键在于反向交易信号,即xmacd和xMA_MACD的关系与常规MACD指标相反,这也是“反向MACD”这个名称的由来。
此外,该策略还引入了趋势过滤器。在做多信号发出时,如果配置了看涨趋势过滤器,会检测价格是否在上涨;类似的,做空信号会检测价格下跌趋势。RSI指标和MFI指标也可用来过滤信号。配置止损机制,可以防止超过阈值的损失。
该策略最大的优势在于回测功能强大。可以选择不同的交易品种,设置回测的时间范围,针对具体品种数据进行策略优化。相比简单的MACD策略,它增加了趋势、超买超卖的判断,可以过滤掉一些雷同信号。双轨道反向MACD与传统MACD不同,可以把握一些传统MACD可能遗漏的机会。
该策略的风险主要源于反向交易的思路。反向信号虽然可以获取一些机会,但也意味着放弃了一些传统MACD买卖点,这需要谨慎评估。此外,MACD本身就容易产生多头虚假信号的问题。如果遇到震荡行情,该策略可能会产生过多交易,增加交易成本和滑点损失。
为降低风险,可以适当调整参数,优化移动平均线的长度;结合趋势和指标过滤器,避免在震荡市产生信号;适当调高止损距离,保证个别交易亏损控制。
该策略可以从以下几个方面进行优化: 1. 调整快慢轨参数,优化移动平均线长度,对具体品种数据进行测试,找到最佳参数组合 2. 增加或调整趋势过滤器,根据回测结果判断是否有提高策略收益率 3. 测试不同的止损机制,是固定止损好还是跟踪止损好 4. 尝试结合其他指标,如KD、布林带等,设定更多过滤条件,确保信号质量
双轨道反向MACD量化策略借鉴了经典MACD指标的思想,在此基础上进行了扩展与改进。该策略同时具备灵活的参数配置、丰富的过滤机制选择,以及强大的回测功能等优点。这使其能够针对不同交易品种进行个性化优化,是一种值得探索的有潜力的量化交易策略。
/*backtest start: 2023-11-20 00:00:00 end: 2023-12-20 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version = 3 //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 09/12/2016 // This is one of the techniques described by William Blau in his book // "Momentum, Direction and Divergence" (1995). If you like to learn more, // we advise you to read this book. His book focuses on three key aspects // of trading: momentum, direction and divergence. Blau, who was an electrical // engineer before becoming a trader, thoroughly examines the relationship // between price and momentum in step-by-step examples. From this grounding, // he then looks at the deficiencies in other oscillators and introduces some // innovative techniques, including a fresh twist on Stochastics. On directional // issues, he analyzes the intricacies of ADX and offers a unique approach to help // define trending and non-trending periods. // Blau`s indicator is like usual MACD, but it plots opposite of meaningof // stndard MACD indicator. // // You can change long to short in the Input Settings // Please, use it only for learning or paper trading. Do not for real trading. // // // 2018-09 forked by Khalid Salomão // - Backtesting // - Added filters: RSI, MFI, Price trend // - Trailing Stop Loss // - Other minor adjustments // //////////////////////////////////////////////////////////// strategy(title="Ergotic MACD Backtester [forked from HPotter]", shorttitle="Ergotic MACD Backtester", overlay=true, pyramiding=0, default_qty_type=strategy.cash, default_qty_value=25000, initial_capital=50000, commission_type=strategy.commission.percent, commission_value=0.15, slippage=3) // === BACKTESTING: INPUT BACKTEST RANGE === source = input(close) strategyType = input(defval="Long Only", options=["Long & Short", "Long Only", "Short Only"]) FromMonth = input(defval = 7, title = "From Month", minval = 1, maxval = 12) FromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31) FromYear = input(defval = 2018, title = "From Year", minval = 2017) ToMonth = input(defval = 12, title = "To Month", minval = 1, maxval = 12) ToDay = input(defval = 1, title = "To Day", minval = 1, maxval = 31) ToYear = input(defval = 2030, title = "To Year", minval = 2017) start = timestamp(FromYear, FromMonth, FromDay, 00, 00) finish = timestamp(ToYear, ToMonth, ToDay, 23, 59) window() => true // window of time verification // === STRATEGY === r = input(144, minval=1, title="R (32,55,89,100,144,200)") // default 32 slowMALen = input(6, minval=1) // default 32 signalLength = input(6, minval=1) reverse = input(false, title="Trade reverse (long/short switch)") //hline(0, color=blue, linestyle=line) fastMA = ema(source, r) slowMA = ema(source, slowMALen) xmacd = fastMA - slowMA xMA_MACD = ema(xmacd, signalLength) pos = 0 pos := iff(xmacd < xMA_MACD, 1, iff(xmacd > xMA_MACD, -1, nz(pos[1], 0))) possig = 0 possig := iff(reverse and pos == 1, -1, iff(reverse and pos == -1, 1, pos)) // === FILTER: price trend ==== trending_price_long = input(true, title="Long only if price has increased" ) trending_price_short = input(false, title="Short only if price has decreased" ) trending_price_length = input( 2, minval=1 ) trending_price_with_ema = input( false ) trending_price_ema = input( 3, minval=1 ) price_trend = trending_price_with_ema ? ema(source, trending_price_ema) : source priceLongTrend() => (trending_price_long ? rising(price_trend, trending_price_length) : true) priceShortTrend() => (trending_price_short ? falling(price_trend, trending_price_length) : true) // === FILTER: RSI === rsi_length = input( 14, minval=1 ) rsi_overSold = input( 14, minval=0, title="RSI Sell Cutoff (Sell only if >= #)" ) rsi_overBought = input( 82, minval=0, title="RSI Buy Cutoff (Buy only if <= #)" ) vrsi = rsi(source, rsi_length) rsiOverbought() => vrsi > rsi_overBought rsiOversold() => vrsi < rsi_overSold trending_rsi_long = input(false, title="Long only if RSI has increased" ) trending_rsi_length = input( 2 ) rsiLongTrend() => trending_rsi_long ? rising(vrsi, trending_rsi_length) : true // === FILTER: MFI === mfi_length = input(14, minval=1) mfi_lower = input(14, minval=0, maxval=50) mfi_upper = input(82, minval=50, maxval=100) upper_s = sum(volume * (change(source) <= 0 ? 0 : source), mfi_length) lower_s = sum(volume * (change(source) >= 0 ? 0 : source), mfi_length) mf = rsi(upper_s, lower_s) mfiOverbought() => (mf > mfi_upper) mfiOversold() => (mf < mfi_lower) trending_mfi_long = input(false, title="Long only if MFI has increased" ) trending_mfi_length = input( 2 ) mfiLongTrend() => trending_mfi_long ? rising(mf, trending_mfi_length) : true // === SIGNAL CALCULATION === long = window() and possig == 1 and rsiLongTrend() and mfiLongTrend() and not rsiOverbought() and not mfiOverbought() and priceLongTrend() short = window() and possig == -1 and not rsiOversold() and not mfiOversold() and priceShortTrend() // === trailing stop tslSource=input(hlc3,title="TSL source") //suseCurrentRes = input(true, title="Use current chart resolution for stop trigger?") tslResolution = input(title="Use different timeframe for stop trigger? Uncheck box above.", defval="5") tslTrigger = input(3.0) / 100 tslStop = input(0.6) / 100 currentPrice = request.security(syminfo.tickerid, tslResolution, tslSource, barmerge.gaps_off, barmerge.lookahead_off) isLongOpen = false isLongOpen := nz(isLongOpen[1], false) entryPrice=0.0 entryPrice:= nz(entryPrice[1], 0.0) trailPrice=0.0 trailPrice:=nz(trailPrice[1], 0.0) // update TSL high mark if (isLongOpen ) if (not trailPrice and currentPrice >= entryPrice * (1 + tslTrigger)) trailPrice := currentPrice else if (trailPrice and currentPrice > trailPrice) trailPrice := currentPrice if (trailPrice and currentPrice <= trailPrice * (1 - tslStop)) // FIRE TSL SIGNAL short:=true // <=== long := false // if short clean up if (short) isLongOpen := false entryPrice := 0.0 trailPrice := 0.0 if (long) isLongOpen := true if (not entryPrice) entryPrice := currentPrice // === BACKTESTING: ENTRIES === if long if (strategyType == "Short Only") strategy.close("Short") else strategy.entry("Long", strategy.long, comment="Long") if short if (strategyType == "Long Only") strategy.close("Long") else strategy.entry("Short", strategy.short, comment="Short") //barcolor(possig == -1 ? red: possig == 1 ? green : blue ) //plot(xmacd, color=green, title="Ergotic MACD") //plot(xMA_MACD, color=red, title="SigLin") plotshape(trailPrice ? trailPrice : na, style=shape.circle, location=location.absolute, color=blue, size=size.tiny) plotshape(long, style=shape.triangleup, location=location.belowbar, color=green, size=size.tiny) plotshape(short, style=shape.triangledown, location=location.abovebar, color=red, size=size.tiny) // === Strategy Alert === alertcondition(long, title='BUY - Ergotic MACD Long Entry', message='Go Long!') alertcondition(short, title='SELL - Ergotic MACD Long Entry', message='Go Short!') // === BACKTESTING: EXIT strategy === sl_inp = input(7, title='Stop Loss %', type=float)/100 tp_inp = input(1.8, title='Take Profit %', type=float)/100 stop_level = strategy.position_avg_price * (1 - sl_inp) take_level = strategy.position_avg_price * (1 + tp_inp) strategy.exit("Stop Loss/Profit", "Long", stop=stop_level, limit=take_level)