Disturbed 策略
该对冲策略同时在市场上买入和卖出,并根据当前点差进行管理。当价格向任一方向移动一个点差时,亏损的一侧将被平仓。剩余持仓在达到 gainMultiplier * spread 的盈利或亏损时退出。
细节
- 入场条件:
- 启动时同时下达买入和卖出市价单。
- 多/空:同时持有。
- 出场条件:
- 价格移动一个点差而导致亏损的一侧被关闭。
- 剩余一侧在
gainMultiplier * spread盈利或亏损处关闭。
- 止损:基于点差的隐式水平。
- 过滤:无。
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>
/// Hedging-style strategy using EMA crossover with ATR-based mean reversion.
/// </summary>
public class DisturbedStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevEma;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public DisturbedStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period", "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();
_prevEma = 0; _hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var atr = new StandardDeviation { Length = AtrPeriod };
SubscribeCandles(CandleType).Bind(ema, atr, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal ema, decimal atr)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev) { _prevEma = ema; _hasPrev = true; return; }
var close = candle.ClosePrice;
// Price crosses above EMA + ATR => buy
if (close > ema + atr && _prevEma > 0 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Price crosses below EMA - ATR => sell
else if (close < ema - atr && _prevEma > 0 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
// Exit long when price returns to EMA
else if (Position > 0 && close <= ema)
{
SellMarket();
}
// Exit short when price returns to EMA
else if (Position < 0 && close >= ema)
{
BuyMarket();
}
_prevEma = ema;
}
}
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, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class disturbed_strategy(Strategy):
def __init__(self):
super(disturbed_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 12) \
.SetDisplay("EMA Period", "EMA period", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "ATR period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_ema = 0.0
self._has_prev = False
@property
def ema_period(self):
return self._ema_period.Value
@property
def atr_period(self):
return self._atr_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(disturbed_strategy, self).OnReseted()
self._prev_ema = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(disturbed_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
atr = StandardDeviation()
atr.Length = self.atr_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema, atr, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, ema, atr):
if candle.State != CandleStates.Finished:
return
if not self._has_prev:
self._prev_ema = ema
self._has_prev = True
return
close = candle.ClosePrice
# Price crosses above EMA + ATR => buy
if close > ema + atr and self._prev_ema > 0 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# Price crosses below EMA - ATR => sell
elif close < ema - atr and self._prev_ema > 0 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
# Exit long when price returns to EMA
elif self.Position > 0 and close <= ema:
self.SellMarket()
# Exit short when price returns to EMA
elif self.Position < 0 and close >= ema:
self.BuyMarket()
self._prev_ema = ema
def CreateClone(self):
return disturbed_strategy()