La stratégie Gunbot Bands est une stratégie de trading algorithmique d'analyse technique qui vise à suivre les tendances et à réduire les pertes.
Comment fonctionne- t- il?
La stratégie consiste à entrer dans des positions longues lorsque le prix se ferme en dessous de la bande de Bollinger inférieure et des positions courtes lorsque le prix se ferme au-dessus de la bande de Bollinger supérieure.
La taille de la position augmente de manière exponentielle sur les signaux longs / courts consécutifs, en mettant en œuvre une composante martingale.
Les avantages
Les principaux avantages de cette stratégie sont les suivants:
Les risques
Risques potentiels à prendre en considération:
Dans l'ensemble, la stratégie Gunbot Bands vise à capitaliser sur la poursuite de la tendance, mais un marché très volatil peut déclencher des arrêts.
/*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)