Strategie MA Parabolic SAR
Die MA Parabolic SAR Strategie versucht, anhaltende Trends zu erfassen, indem ein einfacher gleitender Durchschnitt die vorherrschende Richtung bestimmt und die Parabolic SAR-Punkte das Einstiegs-Timing und die Stop-Platzierung liefern. Wenn beide Indikatoren übereinstimmen, geht das System davon aus, dass das Momentum stark genug ist, um ihm zu folgen.
Tests zeigen eine durchschnittliche Jahresrendite von etwa 76%. Sie funktioniert am besten auf dem Devisenmarkt.
Eine Long-Position wird eröffnet, wenn der Schlusskurs über dem gleitenden Durchschnitt liegt und die Parabolic SAR-Punkte unter den Markt kippen. Eine Short-Position wird eingegangen, wenn der Preis unter dem Durchschnitt liegt und die SAR-Punkte über den Preis kippen, was Abwärtsdruck signalisiert. Die Strategie steigt aus, sobald der Preis in die entgegengesetzte Richtung über den SAR kreuzt, Gewinne sichert oder Verluste begrenzt.
Dieser Ansatz eignet sich am besten für Trader, die systematisches Trendfolgen mit klaren, mechanischen Stops bevorzugen. Der Parabolic SAR passt sich kontinuierlich an, wenn sich die Volatilität ändert, und hält das Engagement im Einklang mit den Marktbedingungen, während der gleitende Durchschnitt Trades gegen den übergeordneten Trend verhindert.
Details
- Einstiegskriterien:
- Long: Price > MA && Price > Parabolic SAR
- Short: Price < MA && Price < Parabolic SAR
- Long/Short: Beide Seiten.
- Ausstiegskriterien:
- Long: Ausstieg, wenn der Preis unter den Parabolic SAR fällt
- Short: Ausstieg, wenn der Preis über den Parabolic SAR steigt
- Stops: Ja, dynamisch über Parabolic SAR und optionaler fester Stop.
- Standardwerte:
MaPeriod = 20
SarStep = 0.02
SarMaxStep = 0.2
CandleType = TimeSpan.FromMinutes(5)
StopLossPercent = 2
Ein Einstieg braucht beide Bedingungen bei Kerzenschluss, egal ob die SAR-Umkehr oder das MA-Kreuzen zuletzt kommt. Der optionale feste Stop liegt bei StopLossPercent vom Einstiegspreis und wird auch zwischen den Kerzen überwacht; 0 schaltet ihn ab. Die Regeln nennen kein Gewinnziel, daher entfällt der TakeValue von null. Ein Einstiegssignal gegen eine offene Position dreht sie.
- Filter:
- Kategorie: Trend
- Richtung: Beide
- Indikatoren: MA, Parabolic SAR
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Intraday
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// MA Parabolic SAR strategy.
/// A close above both the MaPeriod simple moving average and the Parabolic SAR goes long and a close below both goes short, reversing
/// an opposite position. The SAR is the trailing stop: a long closes when price closes below it and a short when price closes above it,
/// and a percent stop limits the loss.
/// </summary>
public class MaParabolicSarStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<decimal> _sarStep;
private readonly StrategyParam<decimal> _sarMaxStep;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// Period of the simple moving average.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Acceleration factor of the SAR.
/// </summary>
public decimal SarStep
{
get => _sarStep.Value;
set => _sarStep.Value = value;
}
/// <summary>
/// Maximum acceleration factor of the SAR.
/// </summary>
public decimal SarMaxStep
{
get => _sarMaxStep.Value;
set => _sarMaxStep.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public MaParabolicSarStrategy()
{
_maPeriod = Param(nameof(MaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period of the simple moving average", "Indicators");
_sarStep = Param(nameof(SarStep), 0.02m)
.SetGreaterThanZero()
.SetDisplay("SAR Step", "Acceleration factor of the SAR", "Indicators");
_sarMaxStep = Param(nameof(SarMaxStep), 0.2m)
.SetGreaterThanZero()
.SetDisplay("SAR Max Step", "Maximum acceleration factor of the SAR", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ma = new SimpleMovingAverage { Length = MaPeriod };
var sar = new ParabolicSar
{
Acceleration = SarStep,
AccelerationMax = SarMaxStep,
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(ma, sar, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawIndicator(area, sar);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue maValue, IIndicatorValue sarValue)
{
if (candle.State != CandleStates.Finished)
return;
// The first SAR value is formed but empty.
if (!maValue.IsFormed || !sarValue.IsFormed || sarValue.IsEmpty)
return;
var ma = maValue.GetValue<decimal>();
var sar = sarValue.GetValue<decimal>();
var close = candle.ClosePrice;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (close > ma && close > sar && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close < ma && close < sar && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close < sar)
SellMarket(Position);
else if (Position < 0 && close > sar)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import SimpleMovingAverage, ParabolicSar
from StockSharp.Algo.Strategies import Strategy
class ma_parabolic_sar_strategy(Strategy):
"""
MA Parabolic SAR strategy.
A close above both the MaPeriod simple moving average and the Parabolic SAR goes long and a close below both goes short, reversing
an opposite position. The SAR is the trailing stop: a long closes when price closes below it and a short when price closes above it,
and a percent stop limits the loss.
"""
def __init__(self):
super(ma_parabolic_sar_strategy, self).__init__()
self._ma_period = self.Param("MaPeriod", 20).SetGreaterThanZero().SetDisplay("MA Period", "Period of the simple moving average", "Indicators")
self._sar_step = self.Param("SarStep", 0.02).SetGreaterThanZero().SetDisplay("SAR Step", "Acceleration factor of the SAR", "Indicators")
self._sar_max_step = self.Param("SarMaxStep", 0.2).SetGreaterThanZero().SetDisplay("SAR Max Step", "Maximum acceleration factor of the SAR", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(ma_parabolic_sar_strategy, self).OnStarted2(time)
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
sar = ParabolicSar()
sar.Acceleration = Decimal(self._sar_step.Value)
sar.AccelerationMax = Decimal(self._sar_max_step.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(ma, sar, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawIndicator(area, sar)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, ma_value, sar_value):
if candle.State != CandleStates.Finished:
return
# The first SAR value is formed but empty.
if not ma_value.IsFormed or not sar_value.IsFormed or sar_value.IsEmpty:
return
ma = ma_value.GetValue[Decimal](None)
sar = sar_value.GetValue[Decimal](None)
close = candle.ClosePrice
if not self.IsFormedAndOnlineAndAllowTrading():
return
if close > ma and close > sar and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif close < ma and close < sar and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close < sar:
self.SellMarket(self.Position)
elif self.Position < 0 and close > sar:
self.BuyMarket(-self.Position)
def CreateClone(self):
return ma_parabolic_sar_strategy()