Stratégie de suivi de tendance basée sur l'EMA à décalage nul
Date de création:
2023-09-20 14:30:03
Dernière modification:
2023-09-20 14:30:03
Copier:
3
Nombre de clics:
413
ChaoZhang
1
Suivre
1141
Abonnés
Aperçu
Cette stratégie est une stratégie de suivi de tendance typique. Elle utilise une stratégie de Zéro-Lag EMA rapide pour déterminer la direction de la tendance, combinée à des mécanismes de stop-loss, stop-loss et reprise mobiles pour réaliser des transactions de suivi de tendance.
Principe de stratégie
Calculer l’EMA rapide et l’EMA lente. Ils utilisent respectivement des prix de fluctuation périodiques différents.
Il y a des signaux de commutation lorsque la ligne rapide traverse une ligne lente; il y a des signaux de commutation lorsque la ligne lente traverse une ligne rapide.
La mise en place d’une ligne mobile de stop-loss après l’entrée en jeu permet de suivre le prix le plus élevé/le plus bas et de contrôler le risque.
Il y a une ligne de freinage mobile qui s’éteint lorsque le prix atteint un certain pourcentage.
Le compteur de temps d’ouverture permet d’obtenir un gain similaire.
Analyse des avantages
Les EMA à zéro décalage sont moins sensibles aux retards et permettent de saisir plus rapidement les changements de tendance.
Les stratégies de double EMA sont simples, intuitives et faciles à comprendre.
Le stop loss est raisonnable et permet de bien contrôler les pertes individuelles.
Le mécanisme d’accumulation peut générer plus de profit lorsque la tendance s’étend.
Analyse des risques
Une mauvaise configuration des paramètres peut entraîner un arrêt de perte trop radical ou conservateur.
Le mauvais choix d’un indicateur de tendance peut nous faire manquer le moment de la reprise.
Les mécanismes d’hypothèque peuvent augmenter les pertes globales si la tendance est inversée.
Il est nécessaire d’ajuster les paramètres pour les différentes variétés afin d’éviter une suradaptation à une variété donnée.
Direction d’optimisation
Testez différents paramètres de la période EMA pour trouver la combinaison de paramètres la plus appropriée.
Optimiser le ratio de stop loss et de stop loss pour trouver un équilibre entre le profit et le contrôle du risque.
Adaptation de la logique d’acquisition de positions, limitant le nombre maximum de positions ouvertes dans un sens.
Ajout d’autres indicateurs techniques pour le filtrage d’entrée et amélioration de la qualité du signal.
Fermez les transactions pendant une certaine période, en évitant les périodes où les signaux peuvent être erronés.
Les paramètres de test sont adaptés aux différentes variétés pour améliorer la stabilité.
Résumer
La stratégie fonctionne globalement de manière stable et présente un excellent rapport bénéfice-risque. L’efficacité de la stratégie peut être encore améliorée par des moyens tels que l’optimisation des paramètres et le filtrage auxiliaire. Il faut également être vigilant face aux erreurs de signal qui peuvent survenir dans des situations individuelles.
Code source de la stratégie
//@version=3
// Learn more about Autoview and how you can automate strategies like this one here: https://autoview.with.pink/
strategy("MP ZeroLag EMA", "MP 0 Strat", overlay=true, pyramiding=0, initial_capital=100000, currency=currency.USD, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type=strategy.commission.percent, commission_value=0.1)
//bgcolor ( color=black, transp=40, title='Blackground', editable=true)
///////////////////////////////////////////////
//* Backtesting Period Selector | Component *//
///////////////////////////////////////////////
testStartYear = input(2018, "Backtest Start Year")
testStartMonth = input(3, "Backtest Start Month")
testStartDay = input(1, "Backtest Start Day")
testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,00,00)
testStopYear = input(77777777, "Backtest Stop Year")
testStopMonth = input(11, "Backtest Stop Month")
testStopDay = input(15, "Backtest Stop Day")
testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0)
testPeriod() => true
/////////////////////////////////////
//* Put your strategy logic below *//
/////////////////////////////////////
// === INPUTS ===
zlmaSource = input(defval = close, title = "ZeroLag EMA Source")
zlmaFastLength = input(defval = 8, title = "ZeroLag EMA Fast Length")
zlmaSlowLength = input(defval = 21, title = "ZeroLag EMA Slow Length")
// === /INPUTS ===
// === SERIES SETUP ===
// Fast ZeroLag EMA
zema1=ema(zlmaSource, zlmaFastLength)
zema2=ema(zema1, zlmaFastLength)
c1=zema1-zema2
zlemaFast=zema1+c1
// Slow ZeroLag EMA
zema3=ema(zlmaSource, zlmaSlowLength)
zema4=ema(zema3, zlmaSlowLength)
c2=zema3-zema4
zlemaSlow=zema3+c2
// Plots and Conditions
plot(zlemaFast, title='Fast ZeroLag EMA', color = yellow, linewidth=4)
plot(zlemaSlow, title='Slow ZeroLag EMA', color = fuchsia, linewidth=4)
// Long/Short Logic
longLogic = crossover(zlemaFast,zlemaSlow) ? 1 : 0
shortLogic = crossunder(zlemaFast,zlemaSlow) ? 1 : 0
//////////////////////////
//* Strategy Component *//
//////////////////////////
isLong = input(false, "Longs Only")
isShort = input(false, "Shorts Only")
isFlip = input(false, "Flip the Opens")
long = longLogic
short = shortLogic
if isFlip
long := shortLogic
short := longLogic
else
long := longLogic
short := shortLogic
if isLong
long := long
short := na
if isShort
long := na
short := short
////////////////////////////////
//======[ Signal Count ]======//
////////////////////////////////
sectionLongs = 0
sectionLongs := nz(sectionLongs[1])
sectionShorts = 0
sectionShorts := nz(sectionShorts[1])
if long
sectionLongs := sectionLongs + 1
sectionShorts := 0
if short
sectionLongs := 0
sectionShorts := sectionShorts + 1
//////////////////////////////
//======[ Pyramiding ]======//
//////////////////////////////
pyrl = input(1, "Pyramiding less than") // If your count is less than this number
pyre = input(0, "Pyramiding equal to") // If your count is equal to this number
pyrg = input(1000000, "Pyramiding greater than") // If your count is greater than this number
longCondition = long and sectionLongs <= pyrl or long and sectionLongs >= pyrg or long and sectionLongs == pyre ? 1 : 0
shortCondition = short and sectionShorts <= pyrl or short and sectionShorts >= pyrg or short and sectionShorts == pyre ? 1 : 0
////////////////////////////////
//======[ Entry Prices ]======//
////////////////////////////////
last_open_longCondition = na
last_open_shortCondition = na
last_open_longCondition := longCondition ? close : nz(last_open_longCondition[1])
last_open_shortCondition := shortCondition ? close : nz(last_open_shortCondition[1])
////////////////////////////////////
//======[ Open Order Count ]======//
////////////////////////////////////
sectionLongConditions = 0
sectionLongConditions := nz(sectionLongConditions[1])
sectionShortConditions = 0
sectionShortConditions := nz(sectionShortConditions[1])
if longCondition
sectionLongConditions := sectionLongConditions + 1
sectionShortConditions := 0
if shortCondition
sectionLongConditions := 0
sectionShortConditions := sectionShortConditions + 1
///////////////////////////////////////////////
//======[ Position Check (long/short) ]======//
///////////////////////////////////////////////
last_longCondition = na
last_shortCondition = na
last_longCondition := longCondition ? time : nz(last_longCondition[1])
last_shortCondition := shortCondition ? time : nz(last_shortCondition[1])
in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition
/////////////////////////////////////
//======[ Position Averages ]======//
/////////////////////////////////////
totalLongs = 0.0
totalLongs := nz(totalLongs[1])
totalShorts = 0.0
totalShorts := nz(totalShorts[1])
averageLongs = 0.0
averageLongs := nz(averageLongs[1])
averageShorts = 0.0
averageShorts := nz(averageShorts[1])
if longCondition
totalLongs := totalLongs + last_open_longCondition
totalShorts := 0.0
if shortCondition
totalLongs := 0.0
totalShorts := totalShorts + last_open_shortCondition
averageLongs := totalLongs / sectionLongConditions
averageShorts := totalShorts / sectionShortConditions
/////////////////////////////////
//======[ Trailing Stop ]======//
/////////////////////////////////
isTS = input(false, "Trailing Stop")
tsi = input(1300, "Activate Trailing Stop Price (%). Divided by 100 (1 = 0.01%)") / 100
ts = input(400, "Trailing Stop (%). Divided by 100 (1 = 0.01%)") / 100
last_high = na
last_low = na
last_high_short = na
last_low_short = na
last_high := not in_longCondition ? na : in_longCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_high_short := not in_shortCondition ? na : in_shortCondition and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1])
last_low := not in_shortCondition ? na : in_shortCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])
last_low_short := not in_longCondition ? na : in_longCondition and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1])
long_ts = isTS and not na(last_high) and low <= last_high - last_high / 100 * ts and longCondition == 0 and last_high >= averageLongs + averageLongs / 100 * tsi
short_ts = isTS and not na(last_low) and high >= last_low + last_low / 100 * ts and shortCondition == 0 and last_low <= averageShorts - averageShorts/ 100 * tsi
///////////////////////////////
//======[ Take Profit ]======//
///////////////////////////////
isTP = input(true, "Take Profit")
tp = input(300, "Take Profit (%). Divided by 100 (1 = 0.01%)") / 100
long_tp = isTP and close > averageLongs + averageLongs / 100 * tp and not longCondition
short_tp = isTP and close < averageShorts - averageShorts / 100 * tp and not shortCondition
/////////////////////////////
//======[ Stop Loss ]======//
/////////////////////////////
isSL = input(false, "Stop Loss")
sl = input(750, "Stop Loss (%). Divided by 100 (1 = 0.01%)") / 100
long_sl = isSL and close < averageLongs - averageLongs / 100 * sl and longCondition == 0
short_sl = isSL and close > averageShorts + averageShorts / 100 * sl and shortCondition == 0
/////////////////////////////////
//======[ Close Signals ]======//
/////////////////////////////////
longClose = long_tp or long_sl or long_ts ? 1 : 0
shortClose = short_tp or short_sl or short_ts ? 1: 0
///////////////////////////////
//======[ Plot Colors ]======//
///////////////////////////////
longCloseCol = na
shortCloseCol = na
longCloseCol := long_tp ? purple : long_sl ? maroon : long_ts ? blue : longCloseCol[1]
shortCloseCol := short_tp ? purple : short_sl ? maroon : short_ts ? blue : shortCloseCol[1]
tpColor = isTP and in_longCondition ? purple : isTP and in_shortCondition ? purple : white
slColor = isSL and in_longCondition ? red : isSL and in_shortCondition ? red : white
//////////////////////////////////
//======[ Strategy Plots ]======//
//////////////////////////////////
plot(isTS and in_longCondition ? averageLongs + averageLongs / 100 * tsi : na, "Long Trailing Activate", blue, style=3, linewidth=2)
plot(isTS and in_longCondition and last_high >= averageLongs + averageLongs / 100 * tsi ? last_high - last_high / 100 * ts : na, "Long Trailing", fuchsia, style=2, linewidth=3)
plot(isTS and in_shortCondition ? averageShorts - averageShorts/ 100 * tsi : na, "Short Trailing Activate", blue, style=3, linewidth=2)
plot(isTS and in_shortCondition and last_low <= averageShorts - averageShorts/ 100 * tsi ? last_low + last_low / 100 * ts : na, "Short Trailing", fuchsia, style=2, linewidth=3)
plot(isTP and in_longCondition and last_high < averageLongs + averageLongs / 100 * tp ? averageLongs + averageLongs / 100 * tp : na, "Long TP", tpColor, style=3, linewidth=2)
plot(isTP and in_shortCondition and last_low > averageShorts - averageShorts / 100 * tp ? averageShorts - averageShorts / 100 * tp : na, "Short TP", tpColor, style=3, linewidth=2)
plot(isSL and in_longCondition and last_low_short > averageLongs - averageLongs / 100 * sl ? averageLongs - averageLongs / 100 * sl : na, "Long SL", slColor, style=3, linewidth=2)
plot(isSL and in_shortCondition and last_high_short < averageShorts + averageShorts / 100 * sl ? averageShorts + averageShorts / 100 * sl : na, "Short SL", slColor, style=3, linewidth=2)
///////////////////////////////
//======[ Alert Plots ]======//
///////////////////////////////
// Old Signal Plots
//plot(longCondition, "Long", green)
//plot(shortCondition, "Short", red)
//plot(longClose, "Long Close", longCloseCol)
//plot(shortClose, "Short Close", shortCloseCol)
// New Signal Plots
//plotshape(series=longCondition, title="Long", style=shape.triangleup, location=location.belowbar, color=green, size=size.tiny)
//plotshape(series=shortCondition, title="Short", style=shape.triangledown, location=location.abovebar, color=red, size=size.tiny)
//plotshape(series=longClose, title="Long Close", style=shape.triangleup, location=location.belowbar, color=blue, size=size.tiny)
//plotshape(series=shortClose, title="Short Close", style=shape.triangledown, location=location.abovebar, color=purple, size=size.tiny)
//alertcondition(condition=longCondition, title="Long", message="")
//alertcondition(condition=shortCondition, title="Short", message="")
//alertcondition(condition=longClose, title="Long Close", message="")
//alertcondition(condition=shortClose, title="Short Close", message="")
///////////////////////////////////
//======[ Reset Variables ]======//
///////////////////////////////////
if longClose or not in_longCondition
averageLongs := 0
totalLongs := 0.0
sectionLongs := 0
sectionLongConditions := 0
if shortClose or not in_shortCondition
averageShorts := 0
totalShorts := 0.0
sectionShorts := 0
sectionShortConditions := 0
////////////////////////////////////////////
//======[ Strategy Entry and Exits ]======//
////////////////////////////////////////////
if testPeriod()
strategy.entry("Long", 1, when=longCondition)
strategy.entry("Short", 0, when=shortCondition)
strategy.close("Long", when=longClose)
strategy.close("Short", when=shortClose)
//////NEW STUFF
//temainput = input(24, minval=1, title="Fast TEMA")
//hullinput = input(39, minval=1, title="Slow hullMA")
//rmainput = input(48, minval=1, title="RMA (BB Signal)")
//bblength = input(20, minval=1, title="BB Length")
//mult = input(1.5, minval=0.001, maxval=50, title="BB stdev Mult")
//src = input(defval=close, type=source, title="Source")
//Moving Average Params
//hullMA
//hullma = wma(2*wma(close, hullinput/2)-wma(close, hullinput), round(sqrt(hullinput)))
//TEMA
//ema = ema(close, temainput)
//ema1 = ema(ema, temainput)
//ema2 = ema(ema1, temainput)
//tema = 3 * (ema - ema1) + ema2
//RMA
//rma = ema(close, 96)
//BB
//basis = sma(tema, bblength)
//dev = mult * stdev(tema, bblength)
//upper = basis + dev
//lower = basis - dev
//Color Swaps
//ribbon = tema>=hullma ? #c0fff4 : #ffbcc8
//bandcolor = rma>=basis ? #ffbcc8 : #c0fff4
//Plots
//plot(basis, title="Bollinger Band Basis", color=red, transp=0)
//upband = plot(upper, color=#ffbcc8, transp=100, editable=false)
//downband = plot(lower, color=#ffbcc8, transp=100, editable=false)
//Fills
//temap = plot(tema, title="TEMA", color=white, transp=100, editable=false)
//emap = plot(hullma, title="EMA", color=white, transp=100, editable=false)
//fill (temap, emap, color=ribbon, title="MA Ribbon", transp=50)
//fill(upband, downband, title="Bollinger Band Background", color=bandcolor)
///////END NEW
///--------New, DW Art----------
//Period
per = input(defval=34, title="Lookback Period")
//Current Resolution
res = input(defval=30, title="Resolution")
//Deviations
ndev = input(defval=7, minval=0, maxval=7, title="Number of Fibonacci Volatility Deviations")
//----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Definitions
//----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Source
src = close
dsrc = high - low
//Periods Per Annum
ppa = (1440/res)*365
//Periodic Volatility
Si = log(close/close[1])
Sm = avg(Si, per)
pv = (sqrt((sum(pow((Si - Sm), 2), per))/(per*ppa)))
//Price Geometric Moving Averages
lmean = log(src)
smean = sum(lmean,per)
gma = exp(smean/per)
lmeand = log(dsrc)
smeand = sum(lmeand,per)
gmad = exp(smeand/per)
//Deviations
dev = gmad*pv
ud1 = gma + dev
dd1 = gma - dev
ud2 = gma + dev*2
dd2 = gma - dev*2
ud3 = gma + dev*3
dd3 = gma - dev*3
ud5 = gma + dev*5
dd5 = gma - dev*5
ud8 = gma + dev*8
dd8 = gma - dev*8
ud13 = gma + dev*13
dd13 = gma - dev*13
ud21 = gma + dev*21
dd21 = gma - dev*21
u1 = (ndev==1) or (ndev==2) or (ndev==3) or (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? ud1 : na
d1 = (ndev==1) or (ndev==2) or (ndev==3) or (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? dd1 : na
u2 = (ndev==2) or (ndev==3) or (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? ud2 : na
d2 = (ndev==2) or (ndev==3) or (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? dd2 : na
u3 = (ndev==3) or (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? ud3 : na
d3 = (ndev==3) or (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? dd3 : na
u5 = (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? ud5 : na
d5 = (ndev==4) or (ndev==5) or (ndev==6) or (ndev==7) ? dd5 : na
u8 = (ndev==5) or (ndev==6) or (ndev==7) ? ud8 : na
d8 = (ndev==5) or (ndev==6) or (ndev==7) ? dd8 : na
u13 = (ndev==6) or (ndev==7) ? ud13 : na
d13 = (ndev==6) or (ndev==7) ? dd13 : na
u21 = (ndev==7) ? ud21 : na
d21 = (ndev==7) ? dd21 : na
//----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Plots
//----------------------------------------------------------------------------------------------------------------------------------------------------------------
//GMA
gp = plot(gma, color=black, title="GMA")
//Deviations
u21p = plot(u21, color=lime, title="Upper Deviation x 21", transp=100)
u13p = plot(u13, color=lime, title="Upper Deviation x 13", transp=100)
u8p = plot(u8, color=lime, title="Upper Deviation x 8", transp=100)
u5p = plot(u5, color=lime, title="Upper Deviation x 5", transp=100)
u3p = plot(u3, color=lime, title="Upper Deviation x 3", transp=100)
u2p = plot(u2, color=lime, title="Upper Deviation x 2", transp=100)
u1p = plot(u1, color=lime, title="Uper Deviation", transp=100)
d1p = plot(d1, color=red, title="Lower Deviation", transp=100)
d2p = plot(d2, color=red, title="Lower Deviation x 2", transp=100)
d3p = plot(d3, color=red, title="Lower Deviation x 3", transp=100)
d5p = plot(d5, color=red, title="Lower Deviation x 5", transp=100)
d8p = plot(d8, color=red, title="Lower Deviation x 8", transp=100)
d13p = plot(d13, color=red, title="Lower Deviation x 13", transp=100)
d21p = plot(d21, color=red, title="Lower Deviation x 21", transp=100)
//Fills
fill(u21p, gp, color=silver, transp=90)
fill(u13p, gp, color=silver, transp=90)
fill(u8p, gp, color=silver, transp=90)
fill(u5p, gp, color=silver, transp=90)
fill(u3p, gp, color=silver, transp=90)
fill(u2p, gp, color=silver, transp=90)
fill(u1p, gp, color=silver, transp=90)
fill(d1p, gp, color=silver, transp=90)
fill(d2p, gp, color=silver, transp=90)
fill(d3p, gp, color=silver, transp=90)
fill(d5p, gp, color=silver, transp=90)
fill(d8p, gp, color=silver, transp=90)
fill(d13p, gp, color=silver, transp=90)
fill(d21p, gp, color=silver, transp=90)