Strategi Band Gunbot

Penulis:ChaoZhang, Tanggal: 2023-09-10 21:31:29
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Strategi Gunbot Bands adalah analisis teknis algoritma strategi perdagangan yang bertujuan untuk naik tren dan memotong kerugian pendek.

Cara Kerjanya

Strategi ini memasuki posisi panjang ketika harga ditutup di bawah Bollinger Band bagian bawah dan posisi pendek ketika harga ditutup di atas Bollinger Band bagian atas.

Ukuran posisi meningkat secara eksponensial pada sinyal panjang/pendek berturut-turut, menerapkan komponen martingale. target keuntungan dan stop loss ditetapkan berdasarkan harga masuk. trailing stop dan early exit call lebih lanjut mencari untuk memaksimalkan keuntungan dan mengurangi kerugian.

Manfaat

Keuntungan utama dari strategi ini adalah:

  • Mengendarai tren yang kuat menggunakan Bollinger Bands sebagai dukungan/resistensi dinamis
  • Pyramiding meningkatkan ukuran posisi untuk mendapatkan keuntungan dari momentum
  • Berbagai mekanisme keluar mencoba untuk mengunci keuntungan dan membatasi kerugian

Risiko

Potensi risiko yang perlu dipertimbangkan:

  • Bollinger Bands tertinggal dan mungkin menandakan entri terlambat
  • Ukuran posisi eksponensial dapat menyebabkan kerugian besar jika tren berbalik
  • Beberapa sinyal keluar dapat mengakibatkan over-trading dan komisi tinggi

Secara keseluruhan, strategi Gunbot Bands bertujuan untuk memanfaatkan kelanjutan tren tetapi pasar yang sangat volatile dapat memicu stop out. Penyesuaian parameter input yang tepat diperlukan untuk menyesuaikan strategi dengan kondisi pasar saat ini.


/*backtest
start: 2023-09-02 00:00:00
end: 2023-09-09 00:00:00
period: 3m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
// strategy("Gunbot - Bbands", shorttitle="Strategy", overlay=true, pyramiding=100, default_qty_value=100000000, precision=8)

/////////////// Component Code Start ///////////////
testStartYear = input(2016, "Backtest Start Year") 
testStartMonth = input(8, "Backtest Start Month")
testStartDay = input(10, "Backtest Start Day")
testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0)

testStopYear = input(2020, "Backtest Stop Year")
testStopMonth = input(9, "Backtest Stop Month")
testStopDay = input(29, "Backtest Stop Day")
// testStopDay = testStartDay + 1
testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0)

testPeriod() =>
    true
/////////////// Component Code Stop ///////////////

length = input(15, minval=1)
src = input(close, title="Source")
mult = input(2.0, minval=0.001, maxval=50)
low_bb = input(25, title="LOW_BB")
high_bb = input(25, title="HIGH_BB")

basis = sma(src, length * (15 / timeframe.multiplier))
dev = mult * stdev(src, length * (15 / timeframe.multiplier))
upper = basis + dev
upper_high_bb = upper - ((upper-basis) * (high_bb / 100))
lower = basis - dev
lower_low_bb = lower + ((basis-lower) * (low_bb / 100))

bb_percent = ((upper/lower)-1)*100
bb_diff = (upper-lower)

/////////////// STRATEGY ///////////////
tsi = input(0, "Activate TS") / 100000000
ts = input(99999, "Trailing Stop") / 100000000
tp = input(99999, "Take Profit") / 100000000
sl = input(99999, "Stop Loss") / 100000000

pyrl = input(0, "Pyramiding <")
pyre = input(1, "Pyramiding =")
pyrg = input(100, "Pyramiding >")

long = ohlc4 < lower_low_bb
short = ohlc4 > upper_high_bb

sectionLongs = 0
sectionLongs := nz(sectionLongs[1])
sectionShorts = 0
sectionShorts := nz(sectionShorts[1])

if long
    sectionLongs := sectionLongs + 1
    sectionShorts := 0

if short
    sectionLongs := 0
    sectionShorts := sectionShorts + 1

longCondition = long and sectionLongs <= pyrl or long and sectionLongs >= pyrg or long and sectionLongs == pyre
shortCondition = short and sectionShorts <= pyrl or short and sectionShorts >= pyrg or short and sectionShorts == pyre

last_open_longCondition = na
last_open_shortCondition = na
last_open_longCondition := longCondition ? close : nz(last_open_longCondition[1])
last_open_shortCondition := shortCondition ? close : nz(last_open_shortCondition[1])

sectionLongs2 = 0
sectionLongs2 := nz(sectionLongs2[1])
sectionShorts2 = 0
sectionShorts2 := nz(sectionShorts2[1])

if longCondition
    sectionLongs2 := sectionLongs2 + 1
    sectionShorts2 := 0

if shortCondition
    sectionLongs2 := 0
    sectionShorts2 := sectionShorts2 + 1

isAdding = input(false, "WIP Feature", bool)

stackingLongs = 100000000
stackingLongs := nz(stackingLongs[1])
stackingShorts = 100000000
stackingShorts := nz(stackingShorts[1])

if longCondition
    stackingLongs := stackingLongs * 2
    stackingShorts := 100000000
    
if shortCondition
    stackingLongs := 100000000 
    stackingShorts := stackingShorts * 2
    
totalLongs = 0.0
totalLongs := nz(totalLongs[1])
totalShorts = 0.0
totalShorts := nz(totalShorts[1])
totalMartingaleLongs = 0.0
totalMartingaleLongs := nz(totalMartingaleLongs[1])
totalMartingaleShorts = 0.0
totalMartingaleShorts := nz(totalMartingaleShorts[1])

if longCondition and sectionLongs2 >= 1
    totalMartingaleLongs := totalMartingaleLongs + (last_open_longCondition * stackingLongs)
    totalLongs := totalLongs + last_open_longCondition
    totalShorts := 0.0

if shortCondition and sectionShorts2 >= 1
    totalLongs := 0.0
    totalMartingaleShorts := totalMartingaleShorts + (last_open_shortCondition * stackingShorts)
    totalShorts := totalShorts + last_open_shortCondition

averageLongs = 0.0
averageLongs := nz(averageLongs[1])
averageShorts = 0.0
averageShorts := nz(averageShorts[1]) 
averageMartingaleLongs = 0.0
averageMartingaleLongs := nz(averageLongs[1])
averageMartingaleShorts = 0.0
averageMartingaleShorts := nz(averageShorts[1]) 

averageLongs := totalLongs / sectionLongs2
averageShorts := totalShorts / sectionShorts2
averageMartingaleLongs := totalMartingaleLongs / stackingLongs
averageMartingaleShorts := totalMartingaleShorts / stackingShorts

last_longCondition = na
last_shortCondition = na
last_longCondition := longCondition ? time : nz(last_longCondition[1])
last_shortCondition := shortCondition ? time : nz(last_shortCondition[1])

in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition

last_high = na
last_low = na
last_high := not in_longCondition ? na : in_longCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_low := not in_shortCondition ? na : in_shortCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])

long_ts = not na(last_high) and high <= (last_high - ts) and longCondition == 0 and high >= (last_open_longCondition + tsi)
short_ts = not na(last_low) and low >= (last_low + ts) and shortCondition == 0 and low <= (last_open_shortCondition - tsi)

long_tp = high >= (last_open_longCondition + tp) and longCondition == 0
short_tp = low <= (last_open_shortCondition - tp) and shortCondition == 0

long_sl = low <= (last_open_longCondition - sl) and longCondition == 0
short_sl = high >= (last_open_shortCondition + sl) and shortCondition == 0

leverage = input(1, "Leverage")
long_call = last_open_longCondition - (0.8 + 0.2 * (1/leverage)) / leverage * last_open_longCondition
short_call = last_open_shortCondition + (0.78 + 0.2 * (1/leverage)) / leverage * last_open_shortCondition
long_call_signal = low <= long_call
short_call_signal = high >= short_call

longProfit = averageLongs > 0 and close >= averageLongs ? green : red
shortProfit = averageShorts > 0 and close <= averageShorts ? green : red

pl1 = plot(averageLongs > 0 ? averageLongs : na, color=white)
pl2 = plot(close, color=white)
pl3 = plot(averageShorts > 0 ? averageShorts : na, color=white)

fill(pl1, pl2, color=longProfit, transp=80)
fill(pl2, pl3, color=shortProfit, transp=80)

if testPeriod()
    
    if isAdding
        strategy.entry("Long", strategy.long, qty=stackingLongs, when=longCondition)
        strategy.entry("Short", strategy.short, qty=stackingShorts, when=shortCondition)
    else
        strategy.entry("Long", strategy.long, when=longCondition)
        strategy.entry("Short", strategy.short, when=shortCondition)
    
    strategy.close("Long", when=long_call_signal)
    strategy.close("Short", when=short_call_signal)
    strategy.close("Long", when=long_tp)
    strategy.close("Short", when=short_tp)
    strategy.close("Long", when=long_sl)
    strategy.close("Short", when=short_sl)
    strategy.close("Long", when=long_ts)
    strategy.close("Short", when=short_ts)

longAveragePlot = 0.0
longAveragePlot := nz(totalShorts[1])
shortAveragePlot = 0.0
shortAveragePlot := nz(shortAveragePlot[1])

if isAdding
    longAveragePlot := averageMartingaleLongs
    shortAveragePlot := averageMartingaleShorts
else
    longAveragePlot := averageLongs
    shortAveragePlot := averageShorts

plot(averageLongs > 0 ? averageLongs : na, "Long Average", style=3, color=green)
plot(averageShorts > 0 ? averageShorts : na, "Short Average", style=3, color=red)

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