趋势捕捉
结合 Parabolic SAR 和 ADX 过滤的趋势跟随策略。当价格收于 SAR 上方且 ADX 低于阈值时开多单,表明新趋势可能开始;反之则开空单。
详细信息
- 入场条件:价格在 Parabolic SAR 上/下且 ADX 低于
AdxLevel。 - 多/空:双向。
- 出场条件:止损、止盈或反向信号。
- 止损类型:固定止损、止盈并带有保本机制。
- 默认值:
SarStep= 0.02SarMax= 0.2AdxPeriod= 14AdxLevel= 20StopLoss= 1800 点TakeProfit= 500 点BreakEven= 50 点CandleType= TimeSpan.FromMinutes(1)
- 筛选:
- 分类:趋势
- 方向:双向
- 指标:Parabolic SAR, ADX
- 止损:是
- 复杂度:基础
- 时间框架:日内 (1m)
- 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>
/// Trend following strategy using Parabolic SAR with EMA confirmation.
/// </summary>
public class TrendCaptureStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevEma;
private decimal _prevSar;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TrendCaptureStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period for trend", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0;
_prevEma = 0;
_prevSar = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sar = new ParabolicSar();
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
SubscribeCandles(CandleType).Bind(sar, ema, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal sarValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
if (!_hasPrev)
{
_prevClose = close;
_prevEma = emaValue;
_prevSar = sarValue;
_hasPrev = true;
return;
}
var aboveSar = close > sarValue;
var belowSar = close < sarValue;
var prevAboveSar = _prevClose > _prevSar;
var prevBelowSar = _prevClose < _prevSar;
if (!prevAboveSar && aboveSar && close > emaValue && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (!prevBelowSar && belowSar && close < emaValue && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevClose = close;
_prevEma = emaValue;
_prevSar = sarValue;
}
}
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 ParabolicSar, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class trend_capture_strategy(Strategy):
def __init__(self):
super(trend_capture_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA period for trend", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_close = 0.0
self._prev_ema = 0.0
self._prev_sar = 0.0
self._has_prev = False
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(trend_capture_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_ema = 0.0
self._prev_sar = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(trend_capture_strategy, self).OnStarted2(time)
sar = ParabolicSar()
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
self.SubscribeCandles(self.candle_type).Bind(sar, ema, self.process_candle).Start()
def process_candle(self, candle, sar_value, ema_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
sv = float(sar_value)
ev = float(ema_value)
if not self._has_prev:
self._prev_close = close
self._prev_ema = ev
self._prev_sar = sv
self._has_prev = True
return
above_sar = close > sv
below_sar = close < sv
prev_above_sar = self._prev_close > self._prev_sar
prev_below_sar = self._prev_close < self._prev_sar
if not prev_above_sar and above_sar and close > ev and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif not prev_below_sar and below_sar and close < ev and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_close = close
self._prev_ema = ev
self._prev_sar = sv
def CreateClone(self):
return trend_capture_strategy()