
Strategi ini bernama Strategi Perdagangan Kuantitatif Filter Dinamis (Dynamic Filter Quant Trading Strategy), terutama menggunakan indikator filter rentang yang digabungkan dengan berbagai indikator teknis, untuk melakukan perdagangan pelacakan tren otomatis pada mata uang kripto BTCUSDT. Strategi ini berlaku untuk perdagangan kuantitatif frekuensi tinggi, untuk mengunci keuntungan dan mengurangi penarikan kembali dengan menyesuaikan stop loss secara dinamis.
Indikator inti dari strategi ini adalah filter rentang, yang menghasilkan garis tengah berdasarkan rentang perubahan harga statistik. Sinyal perdagangan dihasilkan ketika harga menembus garis tengah. Selain itu, strategi ini menggabungkan indikator RSI untuk menilai overbought dan oversold, garis rata untuk menilai tren, MACD untuk menilai momentum, dan lain-lain untuk melakukan filter kombinasi, membentuk sinyal perdagangan yang lebih andal.
Secara khusus, garis tengah filter rentang diperoleh dari rata-rata pergerakan indeks dari rentang perubahan harga, dan penilaian arah didasarkan pada kekuatan dan kecepatan penembusan garis tengah tersebut. Sebuah sinyal penembusan kuat dihasilkan ketika harga melewati garis tengah beberapa kali berturut-turut.
Indikator RSI menilai kondisi overbought dan oversold untuk mengkonfirmasi sinyal filter. Ketika garis rata-rata naik, ia dinilai sebagai tren ke atas, dan ketika turun, ia dinilai sebagai tren ke bawah. Indikator MACD menilai apakah pergerakan pasar cukup untuk membentuk tren.
Dengan mengintegrasikan penilaian dari beberapa indikator ini, dapat diidentifikasi titik-titik terobosan tren yang lebih dapat diandalkan sebagai waktu untuk membangun posisi.
Keuntungan terbesar dari strategi ini adalah kombinasi berbagai indikator untuk membuat keputusan, bukan mengandalkan satu indikator teknis, yang dapat secara efektif mengurangi probabilitas perdagangan yang salah dan memastikan sinyal perdagangan lebih dapat diandalkan. Selain itu, parameter penyesuaian dinamis juga membuat strategi dapat beradaptasi dengan perubahan pasar.
Keuntungan lain adalah dapat melakukan perdagangan frekuensi tinggi. Indikator filter rentang sangat sensitif terhadap perubahan harga siklus kecil, yang berarti bahwa strategi dapat membuka posisi damai dalam waktu yang lebih singkat, sehingga sangat cocok untuk frekuensi tinggi dan memungkinkan keuntungan di pasar cryptocurrency yang berfluktuasi besar.
Strategi ini masih memiliki risiko tertentu. Pertama, risiko kegagalan penilaian bentuk teknis, karena indikator tidak dapat memastikan pergerakan harga seratus persen. Ketika harga berbalik, hal ini dapat menyebabkan stop loss.
Risiko utama lainnya adalah bahwa garis tengah filter rentang tidak dapat sepenuhnya menyaring pergerakan harga. Ketika ada pergerakan harga yang lebih besar dari rentang garis tengah, garis tengah akan tidak berfungsi, menyebabkan risiko sinyal yang salah. Dalam hal ini, parameter dapat dilonggarkan secara tepat dan memperluas rentang garis tengah.
Akhirnya, perdagangan frekuensi tinggi juga memiliki risiko tertentu. Ketika frekuensi perdagangan terlalu tinggi, biaya perdagangan akan lebih besar dan mungkin akan mengimbangi sebagian keuntungan. Dalam hal ini, frekuensi perdagangan dan waktu memegang posisi dapat dikurangi secara tepat.
Strategi ini memiliki ruang untuk pengoptimalan lebih lanjut. Misalnya, pertimbangan untuk menggabungkan lebih banyak indikator, seperti indikator volatilitas untuk mengkonfirmasi tren, menerapkan kondisi penyaringan yang lebih ketat untuk memastikan sinyal perdagangan lebih akurat, atau mempelajari hukum perilaku harga dari berbagai cryptocurrency dan saham, untuk menetapkan parameter indikator yang paling sesuai untuk mereka.
Dari logika perdagangan, Anda juga dapat mengatur stop loss dan stop loss yang dinamis. Artinya, memperluas stop loss untuk mengunci lebih banyak keuntungan ketika jumlah kepemilikan semakin besar. Atau mempercepat stop loss ketika keuntungan lebih besar.
Akhirnya, parameter filter dapat dioptimalkan, menemukan satu set parameter yang membuat jangkauan garis tengah dapat memfilter getaran secara efektif dan menangkap titik-titik pergeseran tren sebanyak mungkin. Ini membutuhkan banyak data pengembalian untuk analisis iterasi.
Strategi ini berhasil digabungkan dengan berbagai indikator untuk menilai, membentuk strategi perdagangan yang sangat andal, cocok untuk diterapkan pada perdagangan kuantitatif frekuensi tinggi. Setelah terus dioptimalkan dan diperbaiki, diyakini dapat menghasilkan keuntungan yang stabil, layak untuk 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")