MA Parabolic SAR 戦略
MA Parabolic SAR戦略は、単純移動平均で優勢な方向を決定し、Parabolic SARのドットでエントリータイミングとストップの配置を行うことで、持続的なトレンドを捉えようとします。両インジケーターが一致したとき、システムはモメンタムが十分に強いと判断します。
テストでは年間平均リターン約76%を示しています。外国為替市場で最もパフォーマンスが高いです。
終値が移動平均を上回り、Parabolic SARのドットが市場の下に転じたときにロングポジションを開きます。価格が平均を下回り、SARのドットが価格の上に転じて下方への圧力を示すときにショートポジションを取ります。価格がSARを反対方向に越えると戦略は終了し、利益を確定するか損失を制限します。
このアプローチは、明確で機械的なストップによる系統的なトレンドフォローを好むトレーダーに最も適しています。Parabolic SARはボラティリティの変化に合わせて継続的に調整し、移動平均が広範なトレンドに逆らったトレードを防ぐ一方で、市場状況に合わせたエクスポージャーを維持します。
詳細
- エントリー条件:
- ロング: Price > MA && Price > Parabolic SAR
- ショート: Price < MA && Price < Parabolic SAR
- ロング/ショート: 両方。
- エグジット条件:
- ロング: 価格がParabolic SARを下回ったときに終了
- ショート: 価格がParabolic SARを上回ったときに終了
- ストップ: はい、Parabolic SARによる動的ストップとオプションの固定ストップ。
- デフォルト値:
MaPeriod= 20SarStep= 0.02SarMaxStep= 0.2CandleType= TimeSpan.FromMinutes(5)StopLossPercent= 2 エントリーにはローソク足の終値で両方の条件が必要で、SARの反転と移動平均のクロスのどちらが後でも構いません。任意の固定ストップはエントリー価格のStopLossPercentで、ローソク足の間も監視されます。0で無効になります。ルールに利益目標はないため、ゼロのTakeValueは削除しました。 保有ポジションと逆方向のエントリーシグナルはドテンになります。
- フィルター:
- カテゴリ: トレンド
- 方向: 両方
- インジケーター: MA, Parabolic SAR
- ストップ: はい
- 複雑さ: 中級
- 時間軸: イントラデイ
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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()