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Estrategia de tendencia de la direccionalidad de la media móvil

El autor:¿ Qué pasa?, Fecha: 14 de septiembre de 2023 17:47:01
Las etiquetas:

Estrategia lógica

Esta estrategia determina la dirección de la tendencia a largo plazo mediante el análisis de la direccionalidad de múltiples promedios móviles.

La lógica es:

  1. Calcular las medias móviles de diferentes períodos, por ejemplo, de 5 días, 20 días, 50 días, etc.

  2. Comparar la tendencia direccional de las AS para determinar una alineación coherente

  3. Cuando los índices de crecimiento son uniformemente al alza, se mantiene una visión alcista a largo plazo.

  4. En condiciones alcistas, las rupturas por encima del stop loss a la baja desencadenan entradas largas

  5. En condiciones bajistas, las rupturas por debajo del stop loss al alza provocan entradas cortas

  6. Las paradas de seguimiento se utilizan para controlar el riesgo

La estrategia hace hincapié en la confirmación de la tendencia a largo plazo antes de negociar para reducir el riesgo no sistemático.

Ventajas

  • Múltiples AG se combinan para juzgar la orientación de la tendencia a largo plazo

  • Las entradas de ruptura siguen la tendencia

  • La estrategia de suspensión de seguimiento controla el riesgo

Los riesgos

  • Los propios MA están rezagados en precios

  • Un juicio erróneo de la tendencia puede conducir a pérdidas sostenidas

  • LONG o SHORT sólo pierde oportunidades

Resumen de las actividades

Esta estrategia hace hincapié en la determinación de la tendencia secular a través de la direccionalidad de MA para minimizar los riesgos no sistemáticos.


/*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)

Más.