ChaoZhang
전략 원칙
이 전략은 여러 평행선의 방향조정을 판단하여, 시장의 긴 선의 경향 방향을 결정하고, 그에 따른 더 또는 더 낮은 작업을 수행한다.
주요 거래 논리:
5일, 20일, 50일 등 다양한 기간의 이동 평균을 계산합니다.
각 평행선의 방향태세를 비교하여 일관된 조정 방향이 있는지 판단한다
평균선이 모두 위로 조정되면, 긴 선으로 평가받습니다. 평균선이 모두 아래로 조정되면, 긴 선으로 평가받습니다.
부자 신호가 있을 때, 가격이 하향 스톱 라인을 넘어서서 다중 거래가 이루어집니다.
하락 신호가 있을 때, 가격이 상행 중지 라인을 넘어서 마이너스 포지션을 설정합니다.
리스크를 통제하기 위해 리스크를 제거하기 위해 리스크를 제거합니다.
이 전략은 장기적인 추세에 대한 추세를 판단하는 것을 강조하고, 추세가 확인된 후에 거래하여 비시스템적 위험을 통제한다.
전략적 이점
다중평균형 포트폴리오는 장기적 추세를 판단합니다.
“지난 4월, 우리는 스탠포드 대학에 입학했습니다.
리스크 통제를 위한 상쇄 전략
전략적 위험
수평선 지표는 가격보다 뒤쳐져 있습니다.
트렌드를 잘못 판단하면 지속적인 손실이 발생할 수 있습니다.
더 많은 일을 하거나, 더 적은 일을 하는 것은 기회를 잡을 수 없습니다.
요약하다
이 전략은 비시스템적 위험을 줄이기 위해 평균적인 상황을 통해 장기적인 흐름을 판단하는 것을 강조한다. 그러나 판단의 정확성과 손실을 막는 전략의 최적화는 핵심이다.
전략 소스 코드
/*backtest
start: 2022-09-07 00:00:00
end: 2023-06-24 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © HeWhoMustNotBeNamed
//@version=4
strategy("TrendMaAlignmentStrategy", overlay=true, initial_capital = 2000, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type = strategy.commission.cash_per_order, pyramiding = 1, commission_value = 2)
MAType = input(title="Moving Average Type", defval="sma", options=["ema", "sma", "hma", "rma", "vwma", "wma"])
LookbackPeriod = input(5, step=10)
shortHighLowPeriod = input(10, step=10)
longHighLowPeriod = input(20, step=10)
atrlength=input(22)
stopMultiplyer = input(6, minval=1, maxval=10, step=0.5)
reentryStopMultiplyer = input(3, minval=1, maxval=10, step=0.5)
exitOnSignal = input(false)
tradeDirection = input(title="Trade Direction", defval=strategy.direction.long, options=[strategy.direction.all, strategy.direction.long, strategy.direction.short])
backtestYears = input(10, minval=1, step=1)
inDateRange = true
allowReduceCompound=true
includePartiallyAligned = true
considerYearlyHighLow = true
considerNewLongTermHighLows = true
//////////////////////////////////// Get Moving average ///////////////////////////////////
f_getMovingAverage(source, MAType, length)=>
ma = sma(source, length)
if(MAType == "ema")
ma := ema(source,length)
if(MAType == "hma")
ma := hma(source,length)
if(MAType == "rma")
ma := rma(source,length)
if(MAType == "vwma")
ma := vwma(source,length)
if(MAType == "wma")
ma := wma(source,length)
ma
f_getMaAlignment(MAType, includePartiallyAligned)=>
ma5 = f_getMovingAverage(close,MAType,5)
ma10 = f_getMovingAverage(close,MAType,10)
ma20 = f_getMovingAverage(close,MAType,20)
ma30 = f_getMovingAverage(close,MAType,30)
ma50 = f_getMovingAverage(close,MAType,50)
ma100 = f_getMovingAverage(close,MAType,100)
ma200 = f_getMovingAverage(close,MAType,200)
upwardScore = 0
upwardScore := close > ma5? upwardScore+1:upwardScore
upwardScore := ma5 > ma10? upwardScore+1:upwardScore
upwardScore := ma10 > ma20? upwardScore+1:upwardScore
upwardScore := ma20 > ma30? upwardScore+1:upwardScore
upwardScore := ma30 > ma50? upwardScore+1:upwardScore
upwardScore := ma50 > ma100? upwardScore+1:upwardScore
upwardScore := ma100 > ma200? upwardScore+1:upwardScore
upwards = close > ma5 and ma5 > ma10 and ma10 > ma20 and ma20 > ma30 and ma30 > ma50 and ma50 > ma100 and ma100 > ma200
downwards = close < ma5 and ma5 < ma10 and ma10 < ma20 and ma20 < ma30 and ma30 < ma50 and ma50 < ma100 and ma100 < ma200
upwards?1:downwards?-1:includePartiallyAligned ? (upwardScore > 5? 0.5: upwardScore < 2?-0.5:upwardScore>3?0.25:-0.25) : 0
f_getMaAlignmentHighLow(MAType, includePartiallyAligned, LookbackPeriod)=>
maAlignment = f_getMaAlignment(MAType,includePartiallyAligned)
[highest(maAlignment, LookbackPeriod), lowest(maAlignment, LookbackPeriod)]
//////////////////////////////////// Calculate new high low condition //////////////////////////////////////////////////
f_calculateNewHighLows(shortHighLowPeriod, longHighLowPeriod, considerNewLongTermHighLows)=>
newHigh = highest(shortHighLowPeriod) == highest(longHighLowPeriod) or not considerNewLongTermHighLows
newLow = lowest(shortHighLowPeriod) == lowest(longHighLowPeriod) or not considerNewLongTermHighLows
[newHigh,newLow]
//////////////////////////////////// Calculate stop and compound //////////////////////////////////////////////////
f_calculateStopAndCompound(target, atr, stopMultiplyer, allowReduceCompound, barState)=>
buyStop = target - (stopMultiplyer * atr)
sellStop = target + (stopMultiplyer * atr)
buyStop := (barState > 0 or strategy.position_size > 0 ) and (buyStop < buyStop[1] or close < sellStop[1])? buyStop[1] : strategy.position_size < 0 and close > buyStop[1]? buyStop[1] : barState < 0 and allowReduceCompound and buyStop > buyStop[1] ? buyStop[1] : buyStop
sellStop := (barState < 0 or strategy.position_size < 0) and (sellStop > sellStop[1] or close > buyStop[1])? sellStop[1] : strategy.position_size > 0 and close < sellStop[1]? sellStop[1]: barState > 0 and allowReduceCompound and sellStop < sellStop[1] ? sellStop[1] : sellStop
[buyStop, sellStop]
//////////////////////////////////// Calculate Yearly High Low //////////////////////////////////////////////////
f_getYearlyHighLowCondition(considerYearlyHighLow)=>
yhigh = security(syminfo.tickerid, '12M', high[1])
ylow = security(syminfo.tickerid, '12M', low[1])
yhighlast = yhigh[365]
ylowlast = ylow[365]
yhighllast = yhigh[2 * 365]
ylowllast = ylow[2 * 365]
yearlyTrendUp = na(yhigh)? true : na(yhighlast)? close > yhigh : na(yhighllast)? close > max(yhigh,yhighlast) : close > max(yhigh, min(yhighlast, yhighllast))
yearlyHighCondition = ( (na(yhigh) or na(yhighlast) ? true : (yhigh > yhighlast) ) and ( na(yhigh) or na(yhighllast) ? true : (yhigh > yhighllast))) or yearlyTrendUp or not considerYearlyHighLow
yearlyTrendDown = na(ylow)? true : na(ylowlast)? close < ylow : na(ylowllast)? close < min(ylow,ylowlast) : close < min(ylow, max(ylowlast, ylowllast))
yearlyLowCondition = ( (na(ylow) or na(ylowlast) ? true : (ylow < ylowlast) ) and ( na(ylow) or na(ylowllast) ? true : (ylow < ylowllast))) or yearlyTrendDown or not considerYearlyHighLow
[yearlyHighCondition,yearlyLowCondition]
atr = atr(atrlength)
[maAlignmentHigh, maAlignmentLow] = f_getMaAlignmentHighLow(MAType, includePartiallyAligned, LookbackPeriod)
[newHigh,newLow] = f_calculateNewHighLows(shortHighLowPeriod, longHighLowPeriod, considerNewLongTermHighLows)
[middle, upper, lower] = bb(close, 20, 2)
barState = (maAlignmentLow > 0 or maAlignmentHigh == 1) and newHigh ? 1 : (maAlignmentHigh < 0 or maAlignmentLow == -1) and newLow ? -1 : 0
[buyStop, sellStop] = f_calculateStopAndCompound(close, atr, stopMultiplyer, allowReduceCompound, barState)
[yearlyHighCondition,yearlyLowCondition] = f_getYearlyHighLowCondition(considerYearlyHighLow)
barcolor(barState == 1?color.lime : barState == -1? color.orange: color.silver)
//plot(maAlignmentHigh, title="AlighmentHigh", color=color.green, linewidth=2, style=plot.style_line)
//plot(maAlignmentLow, title="AlignmentLow", color=color.red, linewidth=2, style=plot.style_line)
plot(barState == 1 or strategy.position_size != 0 ?buyStop:na, title="BuyStop", color=color.green, linewidth=2, style=plot.style_linebr)
plot(barState == -1 or strategy.position_size != 0 ?sellStop:na, title="SellStop", color=color.red, linewidth=2, style=plot.style_linebr)
buyEntry = barState == 1 and close - reentryStopMultiplyer*atr > buyStop and yearlyHighCondition and inDateRange
sellEntry = barState == -1 and close + reentryStopMultiplyer*atr < sellStop and yearlyLowCondition and inDateRange
buyExit = barState == -1
sellExit = barState == 1
strategy.risk.allow_entry_in(tradeDirection)
strategy.entry("Buy", strategy.long, when=buyEntry)
strategy.close("Buy", when=buyExit and exitOnSignal)
strategy.exit("ExitBuy", "Buy", stop = buyStop)
strategy.entry("Sell", strategy.short, when=sellEntry)
strategy.close("Sell", when=sellExit and exitOnSignal)
strategy.exit("ExitSell", "Sell", stop = sellStop)