strategies/混合均线突破Turtle交易策略Hybrid-Moving-Average-Breakout-Turtle-Trading-Strategy.md

Name

混合均线突破Turtle交易策略Hybrid-Moving-Average-Breakout-Turtle-Trading-Strategy

Author

ChaoZhang

Strategy Description

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概述

本策略综合运用了移动平均线、波动率指标、成交量加权平均价格(VWAP)以及抛物线止损指标等多种技术分析工具,实现了一个具有较强突破识别能力和止损保护功能的混合Turtle交易策略。

策略原理

1. 使用不同周期的SMA均线组合判断趋势方向和可能的突破点
2. 应用波动率指标布林带判断短期的超买超卖情况
3. 利用VWAP指标确定中长线的均衡价格区域
4. 抛物线SAR作为止损指标,降低损失
5. Turtle交易法则生成买卖信号

优势分析

1. 多种指标融合,判断更全面、信号更准确
2. VWAP指标辅助判断合理价格区间,避免盲目追高
3. SAR止损指标有效控制每个头寸的损失
4. Turtle交易法则确保进入位置的时机恰当

风险分析

1. 参数设置不当可能导致交易频率过高或信号误判
2. 单一止损方式会限制获利空间
3. 需适当过滤Turtle信号,避免冲突

优化方向

1. 调整SMA均线周期参数,优化突破识别
2. 调整波动率参数,使布林带更贴近价格
3. 优化抛物线参数,止损更精确
4. 结合其他指标过滤Turtle信号

总结

本策略通过多种指标的有机结合,形成了一个交易信号较为准确、止损能力较强、参数调优空间大的混合突破类Turtle策略。适当调整参数后,其突破识别和止损保护的能力都将得到提升,是一个值得推荐的量化交易策略。

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Overview

This strategy combines various technical analysis tools such as moving averages, volatility indicators, volume weighted average price (VWAP) and parabolic SAR stop loss to implement a hybrid Turtle trading strategy with strong breakout identification and stop loss protection capabilities.

Strategy Logic

1. Use SMA combos of different periods to determine trend direction and potential breakout points
2. Apply Bollinger Bands based on volatility to identify short-term overbought/oversold situations
3. Utilize VWAP to determine mid-long term fair value price range
4. Parabolic SAR as stop loss indicator to cut losses
5. Turtle trading rules to generate trading signals

Advantage Analysis

1. More comprehensive judgment with integration of multiple indicators, more accurate signals
2. VWAP helps determine reasonable price range, avoid chasing highs blindly
3. SAR stop loss effectively controls loss for each position
4. Turtle trading rules ensure proper entry timing

Risk Analysis

1. Improper parameter settings may lead to too high trading frequency or signal misjudgment
2. Single stop loss method limits profit potential
3. Turtle signals need proper filtration to avoid conflicts

Optimization Directions

1. Fine tune SMA periods for better breakout identification
2. Adjust volatility parameters to make Bollinger Bands adhere closer to prices
3. Optimize parabolic parameters for more precise stop loss
4. Add other indicators to filter Turtle signals

Conclusion

This strategy forms a relatively accurate signaling, strong stop loss capability, and highly optimizable breakout style Turtle strategy through seamless integration of multiple indicators. With proper parameter tuning, its breakout identification and stop loss protection abilities can be further enhanced, making it a recommended quantitative trading strategy.

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Strategy Arguments

Argument	Default	Description
v_input_1	200	length
v_input_2_hlc3	0	Source: hlc3
v_input_3	3	mult
v_input_4	8	lookback window 1:
v_input_5	21	lookback window 2:
v_input_6	10	H left
v_input_7	10	H right
v_input_8	5000	Sample bars for % TZ
v_input_9	true	Show PTZ
v_input_10	true	Show channel
v_input_11	1.28	Stdev above (1)
v_input_12	1.28	Stdev below (1)
v_input_13	2.01	Stdev above (2)
v_input_14	2.01	Stdev below (2)
v_input_15	2.51	Stdev above (3)
v_input_16	2.51	Stdev below (3)
v_input_17	3.09	Stdev above (4)
v_input_18	3.09	Stdev below (4)
v_input_19	4.01	Stdev above (5)
v_input_20	4.01	Stdev below (5)
v_input_21	true	Turn Barcolor ON/OFF?
v_input_22	true	Show second group of bands?
v_input_23	true	Show third group of bands?
v_input_24	false	Show fourth group of bands?
v_input_25	false	Show fifth group of bands?
v_input_26	false	Show previous VWAP close
v_input_27_close	0	ColorSrc: close
v_input_28	2	Start1 - Default = 2 - Multiplied by .01
v_input_29	2	Step Setting (Sensitivity) - Default = 2 - Multiplied by .01
v_input_30	2	Maximum Step (Sensitivity) - Default = 2 - Multiplied by .10
v_input_31	true	Show Up Trending Parabolic Sar
v_input_32	true	Show Down Trending Parabolic Sar
v_input_33	false	Start1 and Step settings are *.01 so 2 = .02 etc, Maximum Step is *.10 so 2 = .2
v_input_34	6	TurtleSpeed

Source (PineScript)

/*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)

Detail

https://www.fmz.com/strategy/434328

Last Modified

2023-12-05 15:01:56