Strategi ini bernama Strategi Perdagangan Kuantitatif Penapis Dinamis, yang menggunakan penapis penapis julat yang menggabungkan pelbagai petunjuk teknikal untuk membolehkan perdagangan mengikuti trend automatik terhadap mata wang kripto BTCUSDT. Strategi ini sesuai untuk perdagangan kuantitatif frekuensi tinggi, mengunci keuntungan dan mengurangkan penarikan balik dengan menyesuaikan stop loss secara dinamik.
Penunjuk teras strategi ini adalah penapis julat, yang menghasilkan garis tengah berdasarkan julat perubahan harga statistik. Ia menghasilkan isyarat perdagangan apabila harga menembusi garis tengah itu. Selain itu, strategi ini menggabungkan penunjuk RSI untuk menilai overbought dan oversold, garis rata untuk menilai trend, MACD untuk menilai momentum dan lain-lain untuk penapisan gabungan, membentuk isyarat perdagangan yang lebih dipercayai.
Khususnya, garis tengah penapis julat diperoleh berdasarkan purata bergerak indeks dari julat perubahan harga, dan penilaian arah berdasarkan kekuatan dan kelajuan penembusan garis tengah tersebut. Apabila harga menembusi garis tengah beberapa garis K berturut-turut, isyarat penembusan kuat dihasilkan.
RSI digunakan untuk menilai keadaan overbought dan oversold untuk mengesahkan isyarat penapis. Apabila garis rata naik, ia dianggap sebagai trend ke atas, dan apabila ia turun, ia dianggap sebagai trend ke bawah. MACD menilai apakah pergerakan pasaran cukup untuk membentuk trend.
Penghakiman gabungan beberapa petunjuk ini dapat mengenal pasti titik penembusan trend yang lebih dipercayai sebagai masa untuk membina kedudukan.
Kelebihan terbesar strategi ini adalah bahawa ia menggabungkan pelbagai petunjuk untuk membuat keputusan, dan bukannya bergantung kepada satu petunjuk teknikal, yang dapat mengurangkan kemungkinan perdagangan yang salah, memastikan isyarat perdagangan lebih dipercayai. Selain itu, parameter penyesuaian dinamik juga menjadikan strategi dapat menyesuaikan diri dengan perubahan pasaran.
Kelebihan lain ialah boleh melakukan perdagangan frekuensi tinggi. Indikator penapis julat sensitif terhadap perubahan harga kitaran kecil, yang bermaksud bahawa strategi ini dapat membuka kedudukan aman dalam masa yang lebih singkat, oleh itu sangat sesuai untuk frekuensi tinggi dan membolehkan keuntungan dalam pasaran cryptocurrency yang bergelombang.
Strategi ini masih mempunyai risiko tertentu. Pertama, risiko kegagalan penilaian bentuk teknikal, kerana indikator tidak dapat memastikan pergerakan harga seratus peratus. Apabila harga berbalik, ia mungkin menyebabkan kerugian berhenti.
Satu lagi risiko utama ialah garisan tengah penapis julat tidak dapat menyaring pergerakan harga sepenuhnya. Apabila terdapat pergerakan harga yang lebih besar daripada julat tengah, garisan tengah akan tidak berfungsi, menyebabkan risiko menghasilkan isyarat yang salah. Dalam kes ini, parameter boleh dilonggarkan dengan sewajarnya dan meluaskan julat tengah.
Akhirnya, perdagangan frekuensi tinggi juga mempunyai risiko tertentu. Apabila frekuensi perdagangan terlalu tinggi, kos perdagangan akan lebih besar dan mungkin akan mengimbangi sebahagian keuntungan. Dalam kes ini, frekuensi perdagangan dan masa memegang kedudukan dapat dikurangkan dengan sewajarnya.
Terdapat ruang untuk pengoptimuman lebih lanjut dalam strategi ini. Sebagai contoh, anda boleh mempertimbangkan untuk menggabungkan lebih banyak petunjuk, seperti trend pengesahan indikator kadar turun naik, melaksanakan syarat penapisan yang lebih ketat untuk memastikan isyarat perdagangan lebih tepat.
Dari segi logik perdagangan, anda juga boleh menetapkan stop loss dan stop loss secara dinamik. Iaitu, dengan memperluaskan ruang stop loss untuk mengunci lebih banyak keuntungan apabila jumlah pegangan meningkat. Atau dengan mempercepatkan kelajuan stop loss apabila keuntungan lebih besar.
Akhirnya, parameter penapis boleh dioptimumkan, mencari satu set parameter yang menjadikan julat garis tengah baik untuk menyaring getaran dengan berkesan, tetapi juga untuk menangkap titik-titik perubahan trend. Ini memerlukan banyak data pengulangan untuk analisis iterasi.
Strategi ini berjaya menggabungkan pelbagai petunjuk untuk menilai, membentuk strategi perdagangan yang sangat dipercayai, sesuai untuk digunakan dalam perdagangan kuantitatif frekuensi tinggi. Dengan pengoptimuman dan penambahbaikan yang berterusan, dipercayai dapat memperoleh 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")