Strategi ini bernama Strategi Perdagangan Kuantum Filter Dinamis terutama menggunakan indikator Range Filter dikombinasikan dengan beberapa indikator teknis untuk menerapkan perdagangan pelacakan tren otomatis cryptocurrency BTCUSDT. Strategi ini cocok untuk perdagangan kuantum frekuensi tinggi dengan menyesuaikan stop loss secara dinamis dan mengambil keuntungan untuk mengunci keuntungan dan mengurangi penarikan.
Indikator inti dari strategi ini adalah Range Filter, yang menghasilkan garis median berdasarkan kisaran pergerakan harga statistik. Sinyal perdagangan dihasilkan ketika harga menembus garis median ini. Selain itu, strategi ini juga menggabungkan indikator RSI untuk menilai overbought dan oversold, moving average untuk menentukan tren, MACD untuk menilai momentum dan indikator lain untuk penyaringan gabungan untuk membentuk sinyal perdagangan yang lebih andal.
Secara khusus, garis median Range Filter diperoleh dari rata-rata bergerak eksponensial dari kisaran pergerakan harga, dan penilaian arah didasarkan pada kekuatan dan kecepatan menembus garis median ini.
Indikator RSI yang menilai keadaan overbought dan oversold digunakan untuk mengkonfirmasi sinyal filter. Ketika moving average menunjuk ke atas, tren dinilai naik, dan ketika menunjuk ke bawah, tren dinilai turun. Indikator MACD menilai apakah momentum pasar cukup untuk membentuk tren.
Dengan menggabungkan penilaian dari indikator-indikator ini, titik-titik terobosan tren yang relatif dapat diandalkan dapat diidentifikasi sebagai peluang untuk membangun posisi.
Keuntungan terbesar dari strategi ini adalah bahwa ia menggabungkan beberapa indikator untuk pengambilan keputusan daripada mengandalkan satu indikator teknis, yang secara efektif dapat mengurangi kemungkinan perdagangan yang salah dan memastikan bahwa sinyal perdagangan lebih dapat diandalkan.
Keuntungan lain adalah bahwa perdagangan frekuensi tinggi dapat dilakukan. Indikator Range Filter sangat sensitif terhadap perubahan harga selama periode kecil, yang berarti bahwa strategi dapat membuka dan menutup posisi dalam waktu yang relatif singkat, sehingga sangat cocok untuk perdagangan frekuensi tinggi dan memungkinkan keuntungan dibuat di pasar cryptocurrency yang fluktuatif.
Strategi ini masih memiliki beberapa risiko. Yang pertama adalah risiko bahwa penilaian pola teknis gagal karena indikator tidak dapat menjamin pergerakan harga 100%.
Risiko utama lainnya adalah bahwa garis median dari Range Filter tidak dapat sepenuhnya menyaring fluktuasi harga. Ketika ada fluktuasi harga yang lebih besar di luar kisaran garis median, garis median akan gagal, sehingga berisiko menghasilkan sinyal yang salah. Dalam hal ini, parameter dapat dengan tepat rileks untuk memperluas kisaran garis median.
Akhirnya, perdagangan frekuensi tinggi itu sendiri juga membawa beberapa risiko. Ketika frekuensi perdagangan terlalu tinggi, biaya transaksi akan relatif besar, yang dapat mengimbangi beberapa keuntungan. Dalam hal ini, frekuensi perdagangan dan waktu penyimpanan dapat dikurangi dengan tepat.
Masih ada ruang untuk optimalisasi lebih lanjut dari strategi ini. Misalnya, lebih banyak indikator dapat dipertimbangkan, seperti indikator volatilitas untuk mengkonfirmasi tren dan menetapkan kriteria penyaringan yang lebih ketat untuk memastikan sinyal perdagangan yang lebih tepat. Atau mempelajari pola perilaku harga dari berbagai cryptocurrency dan saham, dan menetapkan parameter indikator yang paling sesuai dengan mereka.
Dari logika trading, rentang stop loss dan take profit yang dinamis juga dapat ditetapkan. yaitu, ketika ukuran posisi meningkat, rentang stop loss dapat diperluas untuk mengunci lebih banyak keuntungan. atau ketika keuntungan relatif besar, mempercepat kecepatan take profit. ini dapat mengurangi penarikan sampai batas tertentu.
Akhirnya, parameter filter dapat dioptimalkan untuk menemukan seperangkat parameter sehingga rentang garis median dapat secara efektif menyaring fluktuasi sambil menangkap titik balik tren sebanyak mungkin.
Strategi ini berhasil menggabungkan beberapa indikator untuk penilaian untuk membentuk strategi perdagangan yang sangat dapat diandalkan yang cocok untuk perdagangan kuantitatif frekuensi tinggi.
/*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")