Strategi ini menggabungkan metode Triple Exponential Moving Average Convergence Divergence (Triple MACD) dan Relative Strength Index (RSI), yang dirancang khusus untuk perdagangan kuantitatif di pasar cryptocurrency pada kerangka waktu 1 menit. Ide utama di balik strategi ini adalah untuk menangkap perubahan momentum bullish dan bearish menggunakan indikator MACD dengan parameter periode yang berbeda, sambil menggunakan indikator RSI untuk mengkonfirmasi kekuatan tren. Dengan rata-rata tiga sinyal MACD, kebisingan dapat secara efektif dihaluskan, meningkatkan keandalan sinyal perdagangan. Selain itu, strategi ini menggunakan teknik regresi linier untuk mengidentifikasi fase konsolidasi di pasar, menghindari perdagangan sering selama aksi harga. Strategi ini cocok untuk perdagangan grid, mampu menghasilkan laba yang stabil di tengah fluktuasi cepat dari seluruh pasar cryptocurrency.
Strategi ini menggunakan tiga indikator MACD dengan parameter yang berbeda: periode garis cepat 5/13/34 dan periode garis lambat 8/21/144. Hal ini menghitung perbedaan antara mereka untuk mendapatkan nilai MACD. Tiga nilai MACD ini kemudian rata-rata, dan histogram MACD akhir diperoleh dengan mengurangi nilai Sinyal (N-periode EMA dari MACD) dari rata-rata MACD. Pada saat yang sama, indikator RSI 14 periode dihitung untuk membantu menentukan kekuatan tren. Sinyal panjang dihasilkan ketika histogram MACD rata-rata bergeser dari negatif menjadi positif, RSI di bawah 55, dan ada keselarasan bullish. Sebaliknya, sinyal dekat dipicu ketika histogram MACD rata-rata berubah dari positif menjadi negatif, RSI di atas 45, dan ada keselarasan strategi. Selanjutnya, garis regresi 11-periode diterapkan untuk mengidentifikasi bayangan candlestick, yang berkisar antara panjang dan rasio pasar yang beranalisis.
Strategi ini dengan cerdas menggabungkan Triple MACD dengan indikator RSI dan memanfaatkan teknik regresi linier untuk mengidentifikasi pasar berkisar, membentuk satu set lengkap strategi perdagangan kuantitatif frekuensi tinggi. Kondisi masuk dan keluar yang ketat dan penerapan sinyal MACD rata-rata berkontribusi pada peningkatan akurasi perdagangan dan kontrol penarikan. Meskipun strategi ini berkinerja lebih baik di pasar tren unidirectional, langkah-langkah seperti memperkenalkan filter volatilitas, mengoptimalkan metode identifikasi pasar berkisar, mengatur stop-loss, dan menetapkan parameter independen untuk instrumen yang berbeda dapat lebih meningkatkan fleksibilitas dan ketahanan strategi. Secara keseluruhan, ini adalah strategi perdagangan kuantitatif cryptocurrency yang sangat menjanjikan yang layak dioptimalkan lebih lanjut dan aplikasi perdagangan langsung.
/*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)