하이브리드 이동 평균 돌파 터틀 트레이딩 전략


생성 날짜: 2023-12-05 15:01:56 마지막으로 수정됨: 2023-12-05 15:01:56
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하이브리드 이동 평균 돌파 터틀 트레이딩 전략

개요

이 전략은 이동 평균, 변동률 지표, 거래량 가중 평균 가격 (VWAP) 및 패러블 라인 스톱 로스 지표와 같은 여러 가지 기술 분석 도구를 통합하여 강력한 돌파구 식별 능력과 스톱 로스 보호 기능을 갖춘 혼합 튀르틀 거래 전략을 구현합니다.

전략 원칙

  1. 트렌드 방향과 가능한 브레이크 포인트를 판단하기 위해 다른 주기의 SMA 평균선 조합을 사용합니다.
  2. 불변률 지표 브린 띠를 사용하여 단기 오버 바이 오버 셀 상황을 판단한다
  3. VWAP 지표를 사용하여 중장선 평형 가격 영역을 결정합니다.
  4. 패러블리 SAR는 손실을 줄이기 위한 지표입니다.
  5. 토트렛 거래법은 매매 신호를 생성합니다.

우위 분석

  1. 다양한 지표가 결합되어 판단이 더 포괄적이고 신호가 더 정확합니다.
  2. VWAP 지표는 합리적인 가격 범위를 판단하여 맹목적으로 추격을 피합니다.
  3. SAR 스톱 로즈 지표가 거래 당 손실을 효과적으로 제어합니다.
  4. 토르틀 거래법은 입점 시점을 보장합니다.

위험 분석

  1. 잘못된 매개 변수 설정으로 인해 거래 빈도가 너무 높거나 신호를 잘못 판단할 수 있습니다.
  2. 단독으로 단축하는 것은 수익을 제한합니다.
  3. 충돌을 방지하기 위해 트 신호를 적절히 필터링하십시오.

최적화 방향

  1. SMA 평균주기 매개 변수를 조정하여 브레이크 식별을 최적화
  2. 부린 띠를 가격에 가깝게 만들기 위해 변동률 변수를 조정합니다.
  3. 패러블리 기호를 최적화하여 더 정확한 스피드
  4. 다른 지표와 함께 Turtle 신호를 필터링

요약하다

이 전략은 여러 지표의 유기적 결합을 통해 거래 신호가 더 정확하고, 손실이 더 강하며, 파라미터를 조정할 수 있는 넓은 공간을 가진 혼합 돌파구 유형 거북 전략을 형성한다. 적절한 파라미터를 조정한 후, 돌파구 식별 및 손실 보호 능력 모두 향상 될 것이며, 추천 할 만한 정량화 거래 전략이다.

전략 소스 코드
/*backtest
start: 2022-11-28 00:00:00
end: 2023-12-04 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
strategy("Gui's Turtle", shorttitle = "Guis Turtles", overlay=true, pyramiding=0, default_qty_value = 10)

//This script has to be used with Heikin Ashi Caddles for the strategy to work well
//Thank you to all the ones that have their scripts public so we can make this everything one
//The colours and thicknesses have to be altered and messed with

sma1 = sma(close, 10)
sma2 = sma(close, 20)
plot(sma1, title="SMA10", color = yellow, linewidth = 2)
plot(sma2, title="SMA20", color = orange, linewidth = 2)
sma3 = sma(close, 50)
sma4 = sma(close, 100)
sma5 = sma(close, 200)
plot(sma3, title="SMA50", color = white, linewidth = 2)
plot(sma4, title="SMA100", color = blue, linewidth = 2)
plot(sma5, title="SMA200", color = fuchsia, linewidth = 2)
plot(cross(sma1, sma2) ? sma1 : na, style = cross, color = red, linewidth = 4)

length = input(200, minval=1)
src = input(hlc3, title="Source")
mult = input(3.0, minval=0.001, maxval=50)
basis = vwma(src, length)
dev = mult * stdev(src, length)
upper_1= basis + (0.236*dev)
upper_2= basis + (0.382*dev)
upper_3= basis + (0.5*dev)
upper_4= basis + (0.618*dev)
upper_5= basis + (0.764*dev)
upper_6= basis + (1*dev)
lower_1= basis - (0.236*dev)
lower_2= basis - (0.382*dev)
lower_3= basis - (0.5*dev)
lower_4= basis - (0.618*dev)
lower_5= basis - (0.764*dev)
lower_6= basis - (1*dev)
plot(basis, color=fuchsia, linewidth=2)
p1 = plot(upper_1, color=white, linewidth=1, title="0.236")
p2 = plot(upper_2, color=white, linewidth=1, title="0.382")
p3 = plot(upper_3, color=white, linewidth=1, title="0.5")
p4 = plot(upper_4, color=white, linewidth=1, title="0.618")
p5 = plot(upper_5, color=white, linewidth=1, title="0.764")
p6 = plot(upper_6, color=red, linewidth=2, title="1")
p13 = plot(lower_1, color=white, linewidth=1, title="0.236")
p14 = plot(lower_2, color=white, linewidth=1, title="0.382")
p15 = plot(lower_3, color=white, linewidth=1, title="0.5")
p16 = plot(lower_4, color=white, linewidth=1, title="0.618")
p17 = plot(lower_5, color=white, linewidth=1, title="0.764")
p18 = plot(lower_6, color=green, linewidth=2, title="1")

window1 = input(title='lookback window 1:',  defval=8)
window2 = input(title='lookback window 2:',  defval=21)

top1 = valuewhen(high >= highest(high, window1), high, 0)
bot1 = valuewhen(low <= lowest(low, window1), low, 0)
top2 = valuewhen(high >= highest(high, window2), high, 0)
bot2 = valuewhen(low <= lowest(low, window2), low, 0)

t1 = plot(top1, color=top1 != top1[1] ? na : black)
b1 = plot(bot1, color=bot1 != bot1[1] ? na : black)
t2 = plot(top2, color=top2 != top2[1] ? na : black)
b2 = plot(bot2, color=bot2 != bot2[1] ? na : black)

fill(t1, t2, color=orange, transp=80)
fill(b1, b2, color=olive, transp=80)

//inputs
h_left = input(title="H left",  defval=10)
h_right = input(title="H right",  defval=10)
sample_period = input(title="Sample bars for % TZ",  defval=5000)
show_ptz = input(title="Show PTZ", type=bool, defval=true)
show_channel = input(title="Show channel", type=bool, defval=true)

h_left_low = lowest(h_left)
h_left_high = highest(h_left)
newlow = low <= h_left_low
newhigh = high >= h_left_high
plotshape(newlow and show_ptz, style=shape.triangledown, location=location.belowbar, color=red)
plotshape(newhigh and show_ptz, style=shape.triangleup, location=location.abovebar, color=green)
channel_high = plot(show_channel ? h_left_low : 0, color=silver)
channel_low = plot (show_channel ? h_left_high : 0, color=silver)

central_bar_low = low[h_right + 1]
central_bar_high = high[h_right + 1]
full_zone_low = lowest(h_left + h_right + 1)
full_zone_high = highest(h_left + h_right + 1)
central_bar_is_highest = central_bar_high >= full_zone_high
central_bar_is_lowest = central_bar_low <= full_zone_low
plotarrow(central_bar_is_highest ? -1 : 0, offset=-h_right-1)
plotarrow(central_bar_is_lowest ? 1 : 0, offset=-h_right-1)

x = central_bar_is_highest ? 1 : 0
high_bar_tz_count = cum(x)

y = central_bar_is_lowest ? 1 : 0
low_bar_tz_count = cum(y)

total_tz = high_bar_tz_count + low_bar_tz_count
percent_tz_high = (high_bar_tz_count / sample_period) * 100
//plot(percent_tz_high, color = lime, transp=100)
percent_tz_low = (low_bar_tz_count / sample_period) * 100
//plot(low_bar_tz_count, color=red, transp=100)
percent_total_tz = (percent_tz_high + percent_tz_low)
plot(percent_total_tz, color=black, transp=100)

//PTZ probability calc
i = newhigh ? 1 : 0
high_bar_ptz_count = cum(i)

j = newlow ? 1 : 0
low_bar_ptz_count = cum(j)

total_ptz = high_bar_ptz_count + low_bar_ptz_count
percent_ptz_high = (high_bar_ptz_count / sample_period) * 100
//plot(percent_ptz_high, color=green, transp=100)
percent_ptz_low = (low_bar_ptz_count / sample_period) * 100
//plot(percent_ptz_low, color=maroon, transp=100)
percent_total_ptz = (percent_ptz_high + percent_ptz_low)
plot(percent_total_ptz, color=navy,  transp=100)

//PTZ resolving probability calc
percent_ptz_resolved = (1 - (total_tz / total_ptz)) * 100
plot(percent_ptz_resolved, color=gray,  transp=100)


devUp1 = input(1.28, title="Stdev above (1)")
devDn1 = input(1.28, title="Stdev below (1)")

devUp2 = input(2.01, title="Stdev above (2)")
devDn2 = input(2.01, title="Stdev below (2)")

devUp3 = input(2.51, title="Stdev above (3)")
devDn3 = input(2.51, title="Stdev below (3)")

devUp4 = input(3.09, title="Stdev above (4)")
devDn4 = input(3.09, title="Stdev below (4)")

devUp5 = input(4.01, title="Stdev above (5)")
devDn5 = input(4.01, title="Stdev below (5)")
showBcol = input(true, title="Turn Barcolor ON/OFF?")
showDv2 = input(true, type=bool, title="Show second group of bands?")
showDv3 = input(true, type=bool, title="Show third group of bands?")
showDv4 = input(false, type=bool, title="Show fourth group of bands?")
showDv5 = input(false, type=bool, title="Show fifth group of bands?")

showPrevVWAP = input(false, type=bool, title="Show previous VWAP close")
ColorSrc=input(close)
price=ColorSrc
start = request.security(syminfo.tickerid, "W", time)

newSession = iff(change(start), 1, 0)

vwapsum = iff(newSession, hl2*volume, vwapsum[1]+hl2*volume)
volumesum = iff(newSession, volume, volumesum[1]+volume)
v2sum = iff(newSession, volume*hl2*hl2, v2sum[1]+volume*hl2*hl2)
myvwap = vwapsum/volumesum
dev9 = sqrt(max(v2sum/volumesum - myvwap*myvwap, 0))

A=plot(myvwap,style=circles, title="VWAP", color=black)
U1=plot(myvwap + devUp1 * dev9,style=circles, title="VWAP Upper", color=gray)
D1=plot(myvwap - devDn1 * dev9, style=circles, title="VWAP Lower", color=gray)

myvwapu1= myvwap + devUp1 * dev9
myvwapd1= myvwap - devDn1 * dev9

U2=plot(showDv2 ? myvwap + devUp2 * dev9 : na, color=red, title="VWAP Upper (2)")
D2=plot(showDv2 ? myvwap - devDn2 * dev9 : na, color=green, title="VWAP Lower (2)")

myvwapu2= myvwap + devUp2 * dev9
myvwapu3= myvwap + devUp3 * dev9
myvwapd2= myvwap - devDn2 * dev9
myvwapd3= myvwap - devDn3 * dev9

U3=plot(showDv3 ? myvwap + devUp3 * dev9 : na, title="VWAP Upper (3)", color=red)
D3=plot(showDv3 ? myvwap - devDn3 * dev9 : na, title="VWAP Lower (3)", color=green)

myvwapu4= myvwap + devDn4 * dev9
myvwapd4= myvwap - devDn4 * dev9

U4=plot(showDv4 ? myvwap + devUp4 * dev9 : na, title="VWAP Upper (4)", color=red)
D4=plot(showDv4 ? myvwap - devDn4 * dev9 : na, title="VWAP Lower (4)", color=green)

U5=plot(showDv5 ? myvwap + devUp5 * dev9 : na, title="VWAP Upper (5)", color=red)
D5=plot(showDv5 ? myvwap - devDn5 * dev9 : na, title="VWAP Lower (5)", color=green)

prevwap = iff(newSession, myvwap[1], prevwap[1])

plot(showPrevVWAP ? prevwap : na, style=circles, color=close > prevwap ? green : red)

ColorMiddleU = price > myvwap and price < myvwapu2 ? white:na
ColorMiddleD = price > myvwapd1 and price < myvwap ? black:na

ColorDv1d = price > myvwapd2 and price < myvwapd1 ? gray:na
ColorDv1u = price > myvwapu1 and price < myvwapu2 ? gray:na

ColorDv2d = price > myvwapd3 and price < myvwapd2 ? green:na
ColorDv2u = price > myvwapu2 and price < myvwapu3 ? maroon:na

ColorDv3d = price > myvwapd4 and price < myvwapd3 ? lime:na
ColorDv3u = price > myvwapu3 and price < myvwapu4 ? red:na

barcolor(showBcol?ColorMiddleD:na, title="BarColor vwap-1 Lower")
barcolor(showBcol?ColorMiddleU:na, title="BarColorColor vwap-1 upper")
barcolor(showBcol?ColorDv1d:na, title="BarColor 1-2 Lower")
barcolor(showBcol?ColorDv1u:na, title="BarColorColor 1-2 upper")
barcolor(showBcol?ColorDv2d:na, title="BarColor 2-3 Lower")
barcolor(showBcol?ColorDv2u:na, title="BarColorColor 2-3 upper")
barcolor(showBcol?ColorDv3d:na, title="BarColor 3-4 Lower")
barcolor(showBcol?ColorDv3u:na, title="BarColorColor 3-4 upper")

fill(U1, U2, color=red, transp=90, title="Over Bought Fill 1")
fill(D1, D2, color=green, transp=90, title="Over Sold Fill 1")
fill(U2, U3, color=red, transp=90, title="Over Bought Fill 2")
fill(D2, D3, color=green, transp=90, title="Over Sold Fill 2")
fill(U3, U4, color=red, transp=90, title="Over Bought Fill 3")
fill(D3, D4, color=green, transp=90, title="Over Sold Fill 3")
fill(U4, U5, color=red, transp=90, title="Over Bought Fill 4")
fill(D4, D5, color=green, transp=90, title="Over Sold Fill 4")
fill(A, U1, color=gray, transp=90, title="Middle Fill Up")
fill(A, D1, color=gray, transp=90, title="Middle Fill Down")

//Created By ChrisMoody on 7/25/2014
//Simply Enhances Default Parabolic SAR by creating Two Color Options, One for UpTrend, Other for DownTrend
//Ability To Turn On/Off The Up Trending Parabolic SAR, And The Down Trending Parabolic SARstudy(title="CM_Parabolic SAR", shorttitle="CM_P-SAR", overlay=true)
start1 = input(2, minval=0, maxval=10, title="Start1 - Default = 2 - Multiplied by .01")
increment = input(2, minval=0, maxval=10, title="Step Setting (Sensitivity) - Default = 2 - Multiplied by .01" )
maximum = input(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="Start1 and Step settings are *.01 so 2 = .02 etc, Maximum Step is *.10 so 2 = .2")

startCalc = start1 * .01
incrementCalc = increment * .01
maximumCalc = maximum * .10

sarUp = sar(startCalc, incrementCalc, maximumCalc)
sarDown = sar(startCalc, incrementCalc, maximumCalc)

colUp = close >= sarDown ? lime : na
colDown = close <= sarUp ? red : na

plot(sus and sarUp ? sarUp : na, title="Up Trending SAR", style=circles, linewidth=4,color=colUp)
plot(sds and sarDown ? sarDown : na, title="Up Trending SAR", style=circles, linewidth=4,color=colDown)

TurtleSpeed = input(6, minval=1)

FastSpeed = highest(TurtleSpeed)
SlowSpeed = lowest(TurtleSpeed)

enterLong = high > FastSpeed[1]
enterShort = low < SlowSpeed[1]

strategy.entry("Long", strategy.long, when = enterLong)
strategy.entry("Short", strategy.short, when = enterShort)