MA Parabolic SAR 策略
该策略利用移动平均线和抛物线SAR捕捉趋势。当收盘价高于均线且SAR点位于价格下方时做多;收盘价低于均线且SAR点位于价格上方时做空。价格穿越SAR反向时离场。
测试表明年均收益约为 76%,该策略在外汇市场表现最佳。
适合偏好系统化趋势跟随并使用机械止损的交易者。SAR会随波动调整,均线防止逆势交易。
细节
- 入场条件:
- 多头:
Price > MA && Price > Parabolic SAR - 空头:
Price < MA && Price < Parabolic SAR
- 多头:
- 多/空: 双向
- 离场条件:
- 多头: 价格跌破SAR时平仓
- 空头: 价格升破SAR时平仓
- 止损: 动态,根据Parabolic SAR,可选固定止损
- 默认值:
MaPeriod= 20SarStep= 0.02SarMaxStep= 0.2CandleType= TimeSpan.FromMinutes(5)StopLossPercent= 2 入场要求两个条件在K线收盘时同时成立,无论最后发生的是SAR翻转还是均线交叉。可选的固定止损为入场价的StopLossPercent百分比,在K线之间同样监控;设为0则关闭。规则没有设定止盈目标,因此去掉了为零的TakeValue。与持仓方向相反的入场信号会反转持仓。
- 过滤器:
- 类别: Trend
- 方向: 双向
- 指标: MA, Parabolic SAR
- 止损: 是
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
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()