Strategi ini adalah strategi perdagangan kuantitatif MACD terbalik dual-rail. Strategi ini didasarkan pada indikator teknis yang dijelaskan oleh William Blau dalam bukunya
Indikator inti dari strategi ini adalah MACD. Ini menghitung rata-rata bergerak cepat EMA® dan rata-rata bergerak lambat EMA ((slowMALen), kemudian menghitung perbedaan mereka xmacd. Ini juga menghitung EMA ((signalLength) dari xmacd untuk mendapatkan xMA_MACD. Sinyal panjang dipicu ketika xmacd melintasi di atas xMA_MACD, dan sinyal pendek dipicu pada silang di bawahnya. Aspek utama dari strategi ini adalah sinyal perdagangan terbalik, yaitu hubungan antara xmacd dan xMA_MACD berlawanan dengan indikator MACD konvensional, yang juga dari mana nama
Selain itu, strategi ini menggabungkan filter tren. Ketika sinyal panjang menyala, jika filter tren bullish dikonfigurasi, itu akan memeriksa apakah harga meningkat. Demikian pula, sinyal pendek memeriksa tren harga menurun. Indikator RSI dan MFI juga dapat digunakan untuk menyaring sinyal. Mekanisme stop loss disertakan untuk mencegah kerugian di luar ambang batas.
Keuntungan terbesar dari strategi ini adalah kemampuan backtesting yang kuat. Anda dapat memilih instrumen perdagangan yang berbeda, mengatur kerangka waktu backtest, dan mengoptimalkan parameter strategi berdasarkan data instrumen tertentu. Dibandingkan dengan strategi MACD sederhana, ini menggabungkan analisis tren dan overbought / oversold untuk menyaring beberapa sinyal yang sama.
Risiko utama dari strategi ini berasal dari logika perdagangan terbalik. Sementara sinyal terbalik dapat menangkap beberapa peluang yang dilewatkan oleh sinyal tradisional, itu juga berarti kehilangan beberapa titik masuk MACD konvensional, yang memerlukan penilaian yang cermat.
Untuk mengurangi risiko, parameter dapat dioptimalkan - menyesuaikan panjang rata-rata bergerak; menggabungkan tren dan filter indikator menghindari sinyal di pasar yang bergolak; meningkatkan jarak stop loss memastikan kerugian terbatas pada perdagangan individu.
Strategi ini dapat ditingkatkan dalam beberapa aspek:
Strategi kuantitatif MACD terbalik dual-rail dibangun di atas indikator MACD klasik dengan ekstensi dan perbaikan. Dengan konfigurasi parameter yang fleksibel, pilihan filter yang melimpah, dan fungsi backtesting yang kuat, dapat disesuaikan agar sesuai dengan instrumen perdagangan yang berbeda. Oleh karena itu, ini adalah strategi perdagangan kuantitatif yang menarik dan menjanjikan yang layak dieksplorasi lebih lanjut.
/*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)