Stratégie de tendance de la direction moyenne mobile

Auteur:ChaoZhang est là., Date: le 14 septembre 2023 à 17h47
Les étiquettes:

La logique de la stratégie

Cette stratégie détermine la direction de la tendance à long terme en analysant la direction des moyennes mobiles multiples.

La logique est la suivante:

  1. Calculer les moyennes mobiles de différentes périodes, par exemple 5 jours, 20 jours, 50 jours, etc.

  2. Comparer la tendance directionnelle des MAs pour déterminer un alignement cohérent

  3. Lorsque les MAs sont en hausse uniforme, une vision haussière à long terme est maintenue.

  4. Dans les conditions haussières, les ruptures supérieures au stop loss à la baisse déclenchent des entrées longues

  5. Dans les conditions baissières, les écarts inférieurs à l'option de stop loss à la hausse déclenchent des entrées courtes.

  6. Les arrêts de retard sont utilisés pour contrôler le risque

La stratégie met l'accent sur la confirmation de la tendance à long terme avant la négociation afin de réduire le risque non systémique.

Les avantages

  • Plusieurs MAs se combinent pour juger de la direction de la tendance à long terme

  • Les entrées de rupture suivent la tendance

  • La stratégie de trailing stop contrôle le risque

Les risques

  • Les MAs elles-mêmes sont à la traîne

  • Un jugement erroné de la tendance peut entraîner des pertes soutenues

  • LONG ou SHORT ne fait que rater des occasions

Résumé

Cette stratégie met l'accent sur la détermination de la tendance séculaire via la direction de MA pour minimiser les risques non systématiques.


/*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)

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