Strategi ini yang dinamakan Strategi Perdagangan Kuantum Penapis Dinamik terutamanya menggunakan penunjuk Penapis Julat digabungkan dengan pelbagai penunjuk teknikal untuk melaksanakan perdagangan penjejakan trend automatik cryptocurrency BTCUSDT. Strategi ini sesuai untuk perdagangan kuant frekuensi tinggi dengan menyesuaikan stop loss secara dinamik dan mengambil keuntungan untuk mengunci keuntungan dan mengurangkan penarikan.
Indikator teras strategi ini adalah Range Filter, yang menghasilkan garis median berdasarkan julat pergerakan harga statistik. Isyarat perdagangan dihasilkan apabila harga memecahkan garis median ini. Di samping itu, strategi ini juga menggabungkan penunjuk RSI untuk menilai overbought dan oversold, purata bergerak untuk menentukan trend, MACD untuk menilai momentum dan penunjuk lain untuk penapisan gabungan untuk membentuk isyarat perdagangan yang lebih boleh dipercayai.
Secara khusus, garis median Penapis Julat diperoleh dari purata bergerak eksponensial julat pergerakan harga, dan penghakiman hala tuju berdasarkan kekuatan dan kelajuan memecahkan garis median ini.
Indikator RSI yang menilai keadaan overbought dan oversold digunakan untuk mengesahkan isyarat penapis. Apabila purata bergerak menunjuk ke atas, trend dinilai naik, dan apabila menunjuk ke bawah, trend dinilai turun. Indikator MACD menilai sama ada momentum pasaran mencukupi untuk membentuk trend.
Dengan menggabungkan pertimbangan penunjuk ini, titik terobosan trend yang agak boleh dipercayai dapat dikenal pasti sebagai peluang untuk menubuhkan kedudukan.
Kelebihan terbesar strategi ini ialah ia menggabungkan beberapa penunjuk untuk membuat keputusan dan bukannya bergantung pada satu penunjuk teknikal, yang dapat mengurangkan kemungkinan perdagangan yang salah dan memastikan isyarat perdagangan lebih boleh dipercayai.
Satu lagi kelebihan adalah bahawa perdagangan frekuensi tinggi dapat dilakukan. Penunjuk Range Filter sangat sensitif terhadap perubahan harga dalam tempoh yang kecil, yang bermaksud bahawa strategi dapat membuka dan menutup kedudukan dalam jangka masa yang agak singkat, jadi sangat sesuai untuk perdagangan frekuensi tinggi dan membolehkan keuntungan dibuat di pasaran cryptocurrency yang tidak menentu.
Strategi ini masih mempunyai beberapa risiko. Yang pertama adalah risiko bahawa penghakiman corak teknikal gagal kerana penunjuk tidak dapat menjamin pergerakan harga 100%.
Satu lagi risiko utama adalah bahawa garis median Penapis Julat tidak dapat menapis turun naik harga sepenuhnya. Apabila terdapat turun naik harga yang lebih besar di luar julat garis median, garis median akan gagal, mengakibatkan risiko menghasilkan isyarat yang salah.
Akhirnya, perdagangan frekuensi tinggi itu sendiri juga membawa beberapa risiko. Apabila frekuensi perdagangan terlalu tinggi, kos transaksi akan agak besar, yang mungkin mengimbangi beberapa keuntungan. Dalam kes ini, frekuensi perdagangan dan masa memegang dapat dikurangkan dengan sewajarnya.
Masih ada ruang untuk pengoptimuman strategi ini. Sebagai contoh, lebih banyak penunjuk boleh dipertimbangkan, seperti penunjuk turun naik untuk mengesahkan trend dan menetapkan kriteria penapisan yang lebih ketat untuk memastikan isyarat perdagangan yang lebih tepat. Atau mengkaji corak tingkah laku harga mata wang kripto dan saham yang berbeza, dan menetapkan parameter indikator yang paling sesuai dengan mereka.
Dari logik perdagangan, julat stop loss dan take profit dinamik juga boleh ditetapkan. iaitu, apabila saiz kedudukan meningkat, julat stop loss boleh diperluaskan untuk mengunci lebih banyak keuntungan. atau apabila keuntungan agak besar, mempercepatkan kelajuan mengambil keuntungan. ini boleh mengurangkan penarikan ke tahap tertentu.
Akhirnya, parameter penapis boleh dioptimumkan untuk mencari satu set parameter supaya julat garis median dapat menapis fluktuasi secara berkesan sambil menangkap titik perubahan trend sebanyak mungkin.
Strategi ini berjaya menggabungkan beberapa penunjuk untuk penilaian untuk membentuk strategi perdagangan yang sangat boleh dipercayai yang sesuai untuk perdagangan kuantitatif frekuensi tinggi. Dengan pengoptimuman dan penambahbaikan yang berterusan, dipercayai bahawa pulangan yang stabil dapat diperoleh dan perlu dikembangkan lebih lanjut.
/*backtest start: 2022-12-18 00:00:00 end: 2023-12-24 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy(title='5cel Scalp Strategy BTCUSDT Long & Short 30 Min', shorttitle='BTCUSDT Long & Short Scalp 30m', precision=1, overlay=true) //Swing Call - Based on RSI Overbought & Oversold //#### Starts Here ##### ema_value = input(5) sma_value = input(50) ema1 = ta.ema(close, ema_value) sma2 = ta.sma(close, sma_value) rs = ta.rsi(close, 14) iff_1 = high < sma2 ? color.red : color.yellow iff_2 = low > sma2 ? color.lime : iff_1 mycolor = rs >= 85 or rs <= 15 ? color.yellow : iff_2 //For Main Strategy bool swingCallGreen = false bool swingCallRed = false bool swingCallYellow = false if rs >= 85 or rs <= 15 //color.yellow swingCallGreen := false swingCallRed := false swingCallYellow := true swingCallYellow else if low > sma2 //color.lime swingCallGreen := true swingCallRed := false swingCallYellow := false swingCallYellow //color.red else if high < sma2 swingCallGreen := false swingCallRed := true swingCallYellow := false swingCallYellow else //color.yellow swingCallGreen := false swingCallRed := false swingCallYellow := true swingCallYellow hlong = input.int(80, title='Overbought limit of RSI', step=1) ll = input.int(20, title='Oversold limit of RSI', step=1) buyexit = ta.crossunder(rs, hlong) sellexit = ta.crossover(rs, ll) sellcall = ta.crossover(sma2, ema1) and open > close buycall = ta.crossunder(sma2, ema1) and high > sma2 //#### Ends Here ##### //Parabolic SAR - Trend Circles //#### Starts Here ##### start = input.int(2, minval=0, maxval=10, title='Start - Default = 2 - Multiplied by .01') increment = input.int(2, minval=0, maxval=10, title='Step Setting (Sensitivity) - Default = 2 - Multiplied by .01') maximum = input.int(2, minval=1, maxval=10, title='Maximum Step (Sensitivity) - Default = 2 - Multiplied by .10') sus = input(true, 'Show Up Trending Parabolic Sar') sds = input(true, 'Show Down Trending Parabolic Sar') disc = input(false, title='Start and Step settings are *.01 so 2 = .02 etc, Maximum Step is *.10 so 2 = .2') startCalc = start * .01 incrementCalc = increment * .01 maximumCalc = maximum * .10 sarUp = ta.sar(startCalc, incrementCalc, maximumCalc) sarDown = ta.sar(startCalc, incrementCalc, maximumCalc) colUp = close >= sarDown ? color.lime : na colDown = close <= sarUp ? color.red : na parabolicSARGreen = ta.sar(startCalc, incrementCalc, maximumCalc) parabolicSARRed = ta.sar(startCalc, incrementCalc, maximumCalc) //#### Ends Here ##### //EMA Line //#### Starts Here ##### ema100 = ta.ema(close, 100) //#### Ends Here ##### // Ichimoku Cloud //#### Starts Here ##### sCloud = input(false, 'Show Ichimoku lines') // Colors colorGreen = #00ff00 colorRed = #ff0000 colorTenkanViolet = #9400D3 colorKijun = #fdd8a0 colorLime = #006400 colorMaroon = #8b0000 //Periods are set to standard tenkanPeriods = input.int(9, minval=1, title='Tenkan') kijunPeriods = input.int(26, minval=1, title='Kijun') chikouPeriods = input.int(52, minval=1, title='Chikou') displacement = input.int(26, minval=1, title='Offset') donchian(len) => math.avg(ta.lowest(len), ta.highest(len)) tenkan = donchian(tenkanPeriods) kijun = donchian(kijunPeriods) senkouA = math.avg(tenkan, kijun) senkouB = donchian(chikouPeriods) displacedSenkouA = senkouA[displacement] displacedSenkouB = senkouB[displacement] bullishSignal = ta.crossover(tenkan, kijun) bearishSignal = ta.crossunder(tenkan, kijun) bullishSignalValues = bullishSignal ? tenkan : na bearishSignalValues = bearishSignal ? tenkan : na strongBullishSignal = bullishSignalValues > displacedSenkouA and bullishSignalValues > displacedSenkouB neutralBullishSignal = bullishSignalValues > displacedSenkouA and bullishSignalValues < displacedSenkouB or bullishSignalValues < displacedSenkouA and bullishSignalValues > displacedSenkouB weakBullishSignal = bullishSignalValues < displacedSenkouA and bullishSignalValues < displacedSenkouB strongBearishSignal = bearishSignalValues < displacedSenkouA and bearishSignalValues < displacedSenkouB neutralBearishSignal = bearishSignalValues > displacedSenkouA and bearishSignalValues < displacedSenkouB or bearishSignalValues < displacedSenkouA and bearishSignalValues > displacedSenkouB weakBearishSignal = bearishSignalValues > displacedSenkouA and bearishSignalValues > displacedSenkouB //#### Ends Here ##### //Higher High Lower Low Strategy //#### Starts Here ##### lb = input.int(5, title='Left Bars', minval=1) rb = input.int(5, title='Right Bars', minval=1) showsupres = input.bool(true, title='Support/Resistance', inline='srcol') supcol = input.color(color.lime, title='', inline='srcol') rescol = input.color(color.red, title='', inline='srcol') // srlinestyle = input.string(line.style_dotted, title='Line Style/Width', options=[line.style_solid, line.style_dashed, line.style_dotted], inline='style') srlinewidth = input.int(3, title='', minval=1, maxval=5, inline='style') changebarcol = input.bool(true, title='Change Bar Color', inline='bcol') bcolup = input.color(color.blue, title='', inline='bcol') bcoldn = input.color(color.black, title='', inline='bcol') ph = ta.pivothigh(lb, rb) pl = ta.pivotlow(lb, rb) iff_3 = pl ? -1 : na // Trend direction hl = ph ? 1 : iff_3 iff_4 = pl ? pl : na // similar to zigzag but may have multiple highs/lows zz = ph ? ph : iff_4 valuewhen_1 = ta.valuewhen(hl, hl, 1) valuewhen_2 = ta.valuewhen(zz, zz, 1) zz := pl and hl == -1 and valuewhen_1 == -1 and pl > valuewhen_2 ? na : zz valuewhen_3 = ta.valuewhen(hl, hl, 1) valuewhen_4 = ta.valuewhen(zz, zz, 1) zz := ph and hl == 1 and valuewhen_3 == 1 and ph < valuewhen_4 ? na : zz valuewhen_5 = ta.valuewhen(hl, hl, 1) valuewhen_6 = ta.valuewhen(zz, zz, 1) hl := hl == -1 and valuewhen_5 == 1 and zz > valuewhen_6 ? na : hl valuewhen_7 = ta.valuewhen(hl, hl, 1) valuewhen_8 = ta.valuewhen(zz, zz, 1) hl := hl == 1 and valuewhen_7 == -1 and zz < valuewhen_8 ? na : hl zz := na(hl) ? na : zz findprevious() => // finds previous three points (b, c, d, e) ehl = hl == 1 ? -1 : 1 loc1 = 0.0 loc2 = 0.0 loc3 = 0.0 loc4 = 0.0 xx = 0 for x = 1 to 1000 by 1 if hl[x] == ehl and not na(zz[x]) loc1 := zz[x] xx := x + 1 break ehl := hl for x = xx to 1000 by 1 if hl[x] == ehl and not na(zz[x]) loc2 := zz[x] xx := x + 1 break ehl := hl == 1 ? -1 : 1 for x = xx to 1000 by 1 if hl[x] == ehl and not na(zz[x]) loc3 := zz[x] xx := x + 1 break ehl := hl for x = xx to 1000 by 1 if hl[x] == ehl and not na(zz[x]) loc4 := zz[x] break [loc1, loc2, loc3, loc4] float a = na float b = na float c = na float d = na float e = na if not na(hl) [loc1, loc2, loc3, loc4] = findprevious() a := zz b := loc1 c := loc2 d := loc3 e := loc4 _hh = zz and a > b and a > c and c > b and c > d _ll = zz and a < b and a < c and c < b and c < d _hl = zz and (a >= c and b > c and b > d and d > c and d > e or a < b and a > c and b < d) _lh = zz and (a <= c and b < c and b < d and d < c and d < e or a > b and a < c and b > d) plotshape(_hl, text='HL', title='Higher Low', style=shape.labelup, color=color.new(color.lime, 0), textcolor=color.new(color.black, 0), location=location.belowbar, offset=-rb) plotshape(_hh, text='HH', title='Higher High', style=shape.labeldown, color=color.new(color.lime, 0), textcolor=color.new(color.black, 0), location=location.abovebar, offset=-rb) plotshape(_ll, text='LL', title='Lower Low', style=shape.labelup, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), location=location.belowbar, offset=-rb) plotshape(_lh, text='LH', title='Lower High', style=shape.labeldown, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), location=location.abovebar, offset=-rb) float res = na float sup = na res := _lh ? zz : res[1] sup := _hl ? zz : sup[1] int trend = na iff_5 = close < sup ? -1 : nz(trend[1]) trend := close > res ? 1 : iff_5 res := trend == 1 and _hh or trend == -1 and _lh ? zz : res sup := trend == 1 and _hl or trend == -1 and _ll ? zz : sup rechange = res != res[1] suchange = sup != sup[1] var line resline = na var line supline = na //#### Ends Here ##### //Range Filter 5Min //#### Starts Here ##### src = input(defval=close, title='Source') per = input.int(defval=100, minval=1, title='Sampling Period') // Range Multiplier mult = input.float(defval=3.0, minval=0.1, title='Range Multiplier') // Smooth Average Range smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x[1]), t) smoothrng = ta.ema(avrng, wper) * m smoothrng smrng = smoothrng(src, per, mult) // Range Filter rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt[1]) ? x - r < nz(rngfilt[1]) ? nz(rngfilt[1]) : x - r : x + r > nz(rngfilt[1]) ? nz(rngfilt[1]) : x + r rngfilt filt = rngfilt(src, smrng) // Filter Direction upward = 0.0 upward := filt > filt[1] ? nz(upward[1]) + 1 : filt < filt[1] ? 0 : nz(upward[1]) downward = 0.0 downward := filt < filt[1] ? nz(downward[1]) + 1 : filt > filt[1] ? 0 : nz(downward[1]) // Target Bands hband = filt + smrng lband = filt - smrng // Colors filtcolor = upward > 0 ? color.lime : downward > 0 ? color.red : color.orange barcolor = src > filt and src > src[1] and upward > 0 ? color.lime : src > filt and src < src[1] and upward > 0 ? color.green : src < filt and src < src[1] and downward > 0 ? color.red : src < filt and src > src[1] and downward > 0 ? color.maroon : color.orange // Break Outs longCond = bool(na) shortCond = bool(na) longCond := src > filt and src > src[1] and upward > 0 or src > filt and src < src[1] and upward > 0 shortCond := src < filt and src < src[1] and downward > 0 or src < filt and src > src[1] and downward > 0 CondIni = 0 CondIni := longCond ? 1 : shortCond ? -1 : CondIni[1] longCondition = longCond and CondIni[1] == -1 shortCondition = shortCond and CondIni[1] == 1 //#### Ends Here ##### //#### Starts Here ##### source = close useCurrentRes = input(true, title='Use Current Chart Resolution?') resCustom = input.timeframe(title='Use Different Timeframe? Uncheck Box Above', defval='60') smd = input(true, title='Show MacD & Signal Line? Also Turn Off Dots Below') sd = input(true, title='Show Dots When MacD Crosses Signal Line?') sh = input(true, title='Show Histogram?') macd_colorChange = input(true, title='Change MacD Line Color-Signal Line Cross?') hist_colorChange = input(true, title='MacD Histogram 4 Colors?') res1 = useCurrentRes ? timeframe.period : resCustom fastLength = input.int(12, minval=1) slowLength = input.int(26, minval=1) signalLength = input.int(9, minval=1) fastMA = ta.ema(source, fastLength) slowMA = ta.ema(source, slowLength) macd = fastMA - slowMA signal = ta.sma(macd, signalLength) hist = macd - signal outMacD = request.security(syminfo.tickerid, res1, macd) outSignal = request.security(syminfo.tickerid, res1, signal) outHist = request.security(syminfo.tickerid, res1, hist) histA_IsUp = outHist > outHist[1] and outHist > 0 histA_IsDown = outHist < outHist[1] and outHist > 0 histB_IsDown = outHist < outHist[1] and outHist <= 0 histB_IsUp = outHist > outHist[1] and outHist <= 0 //MacD Color Definitions macd_IsAbove = outMacD >= outSignal macd_IsBelow = outMacD < outSignal plot_color = hist_colorChange ? histA_IsUp ? color.aqua : histA_IsDown ? color.blue : histB_IsDown ? color.red : histB_IsUp ? color.maroon : color.yellow : color.gray macd_color = macd_colorChange ? macd_IsAbove ? color.lime : color.red : color.red signal_color = macd_colorChange ? macd_IsAbove ? color.yellow : color.yellow : color.lime circleYPosition = outSignal //#### Ends Here ##### ////////////////// // Main Strategy ///////////////// //#### Starts Here ##### var bottomText = 'Something is not ok' bool rangeBuy = false if longCondition rangeBuy := true else rangeBuy := false bool rangeSell = false if shortCondition rangeSell := true else rangeSell := false bool ema100Bullish = false bool ema100Bearish = false bool ichimokuBearish = false bool ichimokuBullish = false string statusChance = 'Who knows what will happen' string futureIchimokuTrend = 'Anything can happen' if close > ema100 ema100Bullish := true ema100Bearish := false else ema100Bullish := false ema100Bearish := true if displacedSenkouA > displacedSenkouB ichimokuBearish := false futureIchimokuTrend := 'Green - chance to go up' ichimokuBullish := true else ichimokuBearish := true futureIchimokuTrend := 'Red - chance to go down' ichimokuBullish := false ichimokuBullish if ema100Bullish and parabolicSARGreen if ichimokuBullish statusChance := '100%' else statusChance := '95%' else if ema100Bullish and parabolicSARRed statusChance := '75%' else if ema100Bearish and parabolicSARGreen statusChance := '65%' else statusChance := '55%' bool longTradePosition = false bool shortTradePosition = false string longTradeText = 'Now cannot say anything' if (swingCallGreen or swingCallYellow) and ichimokuBullish and longCondition and ema100Bullish and parabolicSARGreen longTradePosition := true longTradeText := 'Bullish' bottomText := longTradeText + ' Chance: ' + statusChance + '\n Future Trend: ' + futureIchimokuTrend // Bottom Text var tLog = table.new(position=position.bottom_right, rows=1, columns=2, bgcolor=color.blue, border_width=1) table.cell(tLog, row=0, column=0, text=bottomText, text_color=color.white) table.cell_set_text(tLog, row=0, column=0, text=bottomText) //#### Ends Here ##### bool entryLongPosition = false bool exitLongPosition = false bool entryShortPosition = false bool exitShortPosition = false bool longPositionCount = false bool shortPositionCount = false if (strategy.position_size > 0) longPositionCount := true if (strategy.position_size < 0) shortPositionCount := true // Entry LONG if (longCondition) and (not longPositionCount) entryLongPosition := true // Exit LONG if (shortCondition) and (longPositionCount) exitLongPosition := true // Entry SHORT if (shortCondition) and (not shortPositionCount) entryShortPosition := true // Exit SHORT if (longCondition) and (shortPositionCount) exitShortPosition := true // LONG Entry & Exit plotshape(entryLongPosition, style=shape.labeldown, location=location.abovebar, color=color.new(color.green, 0), size=size.tiny, title='buy label', text='5cel\nLONG Entry', textcolor=color.new(color.white, 0)) plotshape(exitLongPosition, style=shape.labelup, location=location.belowbar, color=color.new(color.blue, 0), size=size.tiny, title='sell label', text='5cel\nExit LONG', textcolor=color.new(color.white, 0)) //SHORT Entry & Exit plotshape(entryShortPosition, style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0), size=size.tiny, title='buy label', text='5cel\nSHORT Entry', textcolor=color.new(color.white, 0)) plotshape(exitShortPosition, style=shape.labelup, location=location.belowbar, color=color.new(color.blue, 0), size=size.tiny, title='sell label', text='5cel\nExit SHORT', textcolor=color.new(color.white, 0)) //Get the Current Value heikinashi_close = request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close) if entryLongPosition longLabel = label.new(bar_index, high, text=str.tostring(heikinashi_close, '0.00'), color=color.orange, style=label.style_label_down, yloc=yloc.abovebar) if entryShortPosition shortLabel = label.new(bar_index, high, text=str.tostring(heikinashi_close, '0.00'), color=color.orange, style=label.style_label_down, yloc=yloc.abovebar) /// SHORT Exit strategy.close("short", when=exitShortPosition, comment="close_short_position") /// LONG Exit strategy.close("long", when=exitLongPosition, comment = "close_long_position") /// LONG Enter strategy.entry("long", strategy.long, when=entryLongPosition, comment="open_long_position") /// SHORT Enter strategy.entry("short", strategy.short, when = entryShortPosition, comment="open_short_position")