多周期 Parabolic SAR
多周期 Parabolic SAR 策略使用来自更高周期的四个 SAR 指标来确认趋势方向。 策略基于 15 分钟K线,同时检查 30 分钟、1 小时和 4 小时图上的 SAR 值。 当价格位于所有 SAR 之上时开多单,位于所有 SAR 之下时开空单。
通过要求多个周期同时一致,可减少市场噪音。出现相反条件时平仓。
细节
- 入场条件:价格相对于 15m/30m/1h/4h 的 Parabolic SAR。
- 方向:多空皆可。
- 出场条件:所有 SAR 给出反向信号。
- 止损:使用
StartProtection,无具体数值。 - 默认值:
Step15= 0.062Step30= 0.058Step60= 0.058Step240= 0.058MaxStep= 0.1
- 过滤器:
- 类别:趋势
- 方向:多空
- 指标:Parabolic SAR
- 止损:无
- 复杂度:中等
- 周期:日内(15m 基础,参考更高周期)
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:中等
使用方法
- 将策略连接到标的。
- 如有需要调整 SAR 步长参数。
- 启动策略后会自动订阅 15m、30m、1h 和 4h 的K线。
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>
/// Parabolic SAR trend-following strategy with EMA confirmation.
/// </summary>
public class ParabolicSarMultiTimeframeStrategy : Strategy
{
private readonly StrategyParam<decimal> _sarAcceleration;
private readonly StrategyParam<decimal> _sarMaxAcceleration;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<DataType> _candleType;
public decimal SarAcceleration { get => _sarAcceleration.Value; set => _sarAcceleration.Value = value; }
public decimal SarMaxAcceleration { get => _sarMaxAcceleration.Value; set => _sarMaxAcceleration.Value = value; }
public int EmaLength { get => _emaLength.Value; set => _emaLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ParabolicSarMultiTimeframeStrategy()
{
_sarAcceleration = Param(nameof(SarAcceleration), 0.02m)
.SetDisplay("SAR Accel", "SAR acceleration factor", "Indicators");
_sarMaxAcceleration = Param(nameof(SarMaxAcceleration), 0.2m)
.SetDisplay("SAR Max", "SAR max acceleration", "Indicators");
_emaLength = Param(nameof(EmaLength), 50)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle Type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sar = new ParabolicSar { Acceleration = SarAcceleration, AccelerationMax = SarMaxAcceleration };
var ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(sar, ema, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sar);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal sarValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
var price = candle.ClosePrice;
// Buy when price is above both SAR and EMA
if (price > sarValue && price > emaValue && Position <= 0)
BuyMarket();
// Sell when price is below both SAR and EMA
else if (price < sarValue && price < emaValue && Position >= 0)
SellMarket();
// Exit on SAR flip
if (Position > 0 && price < sarValue)
SellMarket();
else if (Position < 0 && price > sarValue)
BuyMarket();
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, ParabolicSar
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_multi_timeframe_strategy(Strategy):
def __init__(self):
super(parabolic_sar_multi_timeframe_strategy, self).__init__()
self._sar_acceleration = self.Param("SarAcceleration", 0.02) \
.SetDisplay("SAR Accel", "SAR acceleration factor", "Indicators")
self._sar_max_acceleration = self.Param("SarMaxAcceleration", 0.2) \
.SetDisplay("SAR Max", "SAR max acceleration", "Indicators")
self._ema_length = self.Param("EmaLength", 50) \
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle Type", "General")
@property
def sar_acceleration(self):
return self._sar_acceleration.Value
@property
def sar_max_acceleration(self):
return self._sar_max_acceleration.Value
@property
def ema_length(self):
return self._ema_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(parabolic_sar_multi_timeframe_strategy, self).OnStarted2(time)
sar = ParabolicSar()
sar.Acceleration = self.sar_acceleration
sar.AccelerationMax = self.sar_max_acceleration
ema = ExponentialMovingAverage()
ema.Length = self.ema_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sar, ema, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sar)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def on_process(self, candle, sar_value, ema_value):
if candle.State != CandleStates.Finished:
return
price = candle.ClosePrice
# Buy when price is above both SAR and EMA
if price > sar_value and price > ema_value and self.Position <= 0:
self.BuyMarket()
# Sell when price is below both SAR and EMA
elif price < sar_value and price < ema_value and self.Position >= 0:
self.SellMarket()
# Exit on SAR flip
if self.Position > 0 and price < sar_value:
self.SellMarket()
elif self.Position < 0 and price > sar_value:
self.BuyMarket()
def CreateClone(self):
return parabolic_sar_multi_timeframe_strategy()