Strategi ini menggabungkan kaedah Triple Exponential Moving Average Convergence Divergence (Triple MACD) dan Relative Strength Index (RSI), yang direka khas untuk perdagangan kuantitatif di pasaran mata wang kripto dalam jangka masa 1 minit. Idea utama di sebalik strategi ini adalah untuk menangkap perubahan momentum bullish dan bearish menggunakan penunjuk MACD dengan parameter tempoh yang berbeza, sambil menggunakan penunjuk RSI untuk mengesahkan kekuatan trend.
Strategi ini menggunakan tiga penunjuk MACD dengan parameter yang berbeza: tempoh garisan cepat 5/13/34 dan tempoh garisan perlahan 8/21/144. Ia mengira perbezaan di antara mereka untuk mendapatkan nilai MACD. Ketiga-tiga nilai MACD ini kemudiannya disederhanakan, dan histogram MACD akhir diperoleh dengan mengurangkan nilai Isyarat (N-period EMA MACD) dari MACD yang disederhanakan. Pada masa yang sama, penunjuk RSI 14 tempoh dikira untuk membantu menentukan kekuatan trend. Isyarat panjang dihasilkan apabila histogram MACD purata bergeser dari negatif ke positif, RSI di bawah 55, dan terdapat penyelarasan menaiki. Sebaliknya, isyarat dekat dicetuskan apabila histogram MACD purata berubah dari positif ke negatif, RSI di atas 45, dan terdapat strategi penyelarasan.
Strategi ini dengan bijak menggabungkan Triple MACD dengan penunjuk RSI dan menggunakan teknik regresi linear untuk mengenal pasti pasaran berkisar, membentuk satu set lengkap strategi perdagangan kuantitatif frekuensi tinggi. Syarat kemasukan dan keluar yang ketat dan penerapan isyarat MACD purata menyumbang kepada peningkatan ketepatan perdagangan dan kawalan penarikan. Walaupun strategi ini berfungsi dengan lebih baik di pasaran trend unidirectional, langkah-langkah seperti memperkenalkan penapis turun naik, mengoptimumkan kaedah pengenalan pasaran berkisar, menetapkan stop-loss yang tertinggal, dan menubuhkan parameter bebas untuk instrumen yang berbeza dapat meningkatkan lagi kebolehsesuaian dan ketahanan strategi. Secara keseluruhan, ini adalah strategi perdagangan kuantitatif mata wang kripto yang sangat menjanjikan yang layak untuk pengoptimuman dan aplikasi perdagangan langsung yang lebih lanjut.
/*backtest start: 2023-03-23 00:00:00 end: 2024-03-28 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy(title="TrippleMACD", shorttitle="TrippleMACD + RSI strategy", format=format.price, precision=4, overlay=true) // RSI ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings") rsiSourceInput = input.source(close, "Source", group="RSI Settings") maTypeInput = input.string("SMA", title="MA Type", options=["SMA", "Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group="MA Settings") maLengthInput = input.int(14, title="MA Length", group="MA Settings") bbMultInput = input.float(2.0, minval=0.001, maxval=50, title="BB StdDev", group="MA Settings") showDivergence = input.bool(false, title="Show Divergence", group="RSI Settings") up = ta.rma(math.max(ta.change(rsiSourceInput), 0), rsiLengthInput) down = ta.rma(-math.min(ta.change(rsiSourceInput), 0), rsiLengthInput) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsiMA = ma(rsi, maLengthInput, maTypeInput) isBB = maTypeInput == "Bollinger Bands" bbUpperBand = plot(isBB ? rsiMA + ta.stdev(rsi, maLengthInput) * bbMultInput : na, title = "Upper Bollinger Band", color=color.green) bbLowerBand = plot(isBB ? rsiMA - ta.stdev(rsi, maLengthInput) * bbMultInput : na, title = "Lower Bollinger Band", color=color.green) // Divergence lookbackRight = 5 lookbackLeft = 5 rangeUpper = 60 rangeLower = 5 bearColor = color.red bullColor = color.green textColor = color.white noneColor = color.new(color.white, 100) plFound = na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) ? false : true phFound = na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) ? false : true _inRange(cond) => bars = ta.barssince(cond == true) rangeLower <= bars and bars <= rangeUpper //------------------------------------------------------------------------------ // Regular Bullish // rsi: Higher Low rsiHL = rsi[lookbackRight] > ta.valuewhen(plFound, rsi[lookbackRight], 1) and _inRange(plFound[1]) // Price: Lower Low priceLL = low[lookbackRight] < ta.valuewhen(plFound, low[lookbackRight], 1) bullCondAlert = priceLL and rsiHL and plFound bullCond = showDivergence and bullCondAlert // rsi: Lower High rsiLH = rsi[lookbackRight] < ta.valuewhen(phFound, rsi[lookbackRight], 1) and _inRange(phFound[1]) // Price: Higher High priceHH = high[lookbackRight] > ta.valuewhen(phFound, high[lookbackRight], 1) bearCondAlert = priceHH and rsiLH and phFound bearCond = showDivergence and bearCondAlert // Getting inputs stopLuse = input(1.040) fast_length = input(title = "Fast Length", defval = 5) slow_length = input(title = "Slow Length", defval = 8) fast_length2 = input(title = "Fast Length2", defval = 13) slow_length2 = input(title = "Slow Length2", defval = 21) fast_length3 = input(title = "Fast Length3", defval = 34) slow_length3 = input(title = "Slow Length3", defval = 144) fast_length4 = input(title = "Fast Length3", defval = 68) slow_length4 = input(title = "Slow Length3", defval = 288) src = input(title = "Source", defval = close) signal_length2 = input.int(title="Signal Smoothing", minval = 1, maxval = 200, defval = 11) signal_length = input.int(title = "Signal Smoothing", minval = 1, maxval = 50, defval = 9) sma_source = input.string(title = "Oscillator MA Type", defval = "EMA", options = ["SMA", "EMA"]) sma_signal = input.string(title = "Signal Line MA Type", defval = "EMA", options = ["SMA", "EMA"]) // Calculating fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length) slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length) fast_ma2 = sma_source == "SMA2" ? ta.sma(src, fast_length2) : ta.ema(src, fast_length2) slow_ma2 = sma_source == "SMA2" ? ta.sma(src, slow_length2) : ta.ema(src, slow_length2) fast_ma3 = sma_source == "SMA3" ? ta.sma(src, fast_length3) : ta.ema(src, fast_length3) slow_ma3 = sma_source == "SMA3" ? ta.sma(src, slow_length3) : ta.ema(src, slow_length3) fast_ma4 = sma_source == "SMA3" ? ta.sma(src, fast_length3) : ta.ema(src, fast_length3) slow_ma4 = sma_source == "SMA3" ? ta.sma(src, slow_length3) : ta.ema(src, slow_length3) macd = fast_ma - slow_ma macd2 = fast_ma2 - slow_ma2 macd3 = fast_ma3 - slow_ma3 macd4 = fast_ma4 - slow_ma4 signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length) signal2 = sma_signal == "SMA" ? ta.sma(macd2, signal_length) : ta.ema(macd2, signal_length) signal3 = sma_signal == "SMA" ? ta.sma(macd3, signal_length) : ta.ema(macd3, signal_length) signal4 = sma_signal == "SMA" ? ta.sma(macd4, signal_length) : ta.ema(macd4, signal_length) //hist = (macd + macd2 + macd3)/1 - (signal + signal2 + signal3)/1 hist = (macd + macd2 + macd3 + macd4)/4 - (signal + signal2 + signal3 + signal4)/4 signal5 = (signal + signal2 + signal3)/3 sma_signal2 = input.bool(title="Simple MA (Signal Line)", defval=true) lin_reg = input.bool(title="Lin Reg", defval=true) linreg_length = input.int(title="Linear Regression Length", minval = 1, maxval = 200, defval = 11) bopen = lin_reg ? ta.linreg(open, linreg_length, 0) : open bhigh = lin_reg ? ta.linreg(high, linreg_length, 0) : high blow = lin_reg ? ta.linreg(low, linreg_length, 0) : low bclose = lin_reg ? ta.linreg(close, linreg_length, 0) : close shadow = (bhigh - bclose) + (bopen - blow) body = bclose - bopen perc = (shadow/body) cond2 = perc >=2 and bclose+bclose[1]/2 > bopen+bopen[1]/2 r = bopen < bclose //signal5 = sma_signal2 ? ta.sma(bclose, signal_length) : ta.ema(bclose, signal_length) plotcandle(r ? bopen : na, r ? bhigh : na, r ? blow: na, r ? bclose : na, title="LinReg Candles", color= color.green, wickcolor=color.green, bordercolor=color.green, editable= true) plotcandle(r ? na : bopen, r ? na : bhigh, r ? na : blow, r ? na : bclose, title="LinReg Candles", color=color.red, wickcolor=color.red, bordercolor=color.red, editable= true) //alertcondition(hist[1] >= 0 and hist < 0, title = 'Rising to falling', message = 'The MACD histogram switched from a rising to falling state') //alertcondition(hist[1] <= 0 and hist > 0, title = 'Falling to rising', message = 'The MACD histogram switched from a falling to rising state') green = hist >= 0 ? (hist[1] < hist ? "G" : "GL") : (hist[1] < hist ? "RL" : "R") Buy = green == "G" and green[1] != "G" and green[1] != "GL" and bopen < bclose and rsi < 55.0 //and not cond2 //StopBuy = (green == "R" or green == "RL" or green == "RL") and bopen > bclose and bopen[1] < bclose[1] StopBuy = bopen > bclose and bopen[1] < bclose[1] and (green == "G" or green == "GL" or green == "R") and bopen[2] < bclose[2] and bopen[3] < bclose[3] hists = close[3] < close[2] and close[2] < close[1] //Buy = green == "RL" and hist[0] > -0.07 and hist[0] < 0.00 and rsi < 55.0 and hists //StopBuy = green == "GL" or green == "R" alertcondition(Buy, "Long","Покупка в лонг") alertcondition(StopBuy, "StopLong","Закрытие сделки") //hline(0, "Zero Line", color = color.new(#787B86, 50)) plot(hist + (close - (close * 0.03)), title = "Histogram", style = plot.style_line, color = (hist >= 0 ? (hist[1] < hist ? #26A69A : #B2DFDB) : (hist[1] < hist ? #FFCDD2 : #FF5252))) plotshape(Buy ? low : na, 'Buy', shape.labelup, location.belowbar , color=color.new(#0abe40, 50), size=size.small, offset=0) plotshape(StopBuy ? low : na, 'Buy', shape.cross, location.abovebar , color=color.new(#be0a0a, 50), size=size.small, offset=0) plot(macd4 + (close - (close * 0.01)), title = "MACD", color = #2962FF) plot(signal5 + (close - (close * 0.01)), title = "Signal", color = #FF6D00) plotchar(cond2 , char='↓', color = color.rgb(0, 230, 119), text = "-") if (Buy) strategy.entry("long", strategy.long) // if (startShortTrade) // strategy.entry("short", strategy.short) profitTarget = strategy.position_avg_price * stopLuse strategy.exit("Take Profit", "long", limit=profitTarget) // strategy.exit("Take Profit", "short", limit=profitTarget)