Stop Loss Mover策略
该工具策略监控已有持仓,当市场达到设定价格时将止损移动到入场价。策略订阅K线并检查每根已完成的K线。对于多头,当K线最高价超过MoveSlPrice时,会在入场价挂出止损单;对于空头,当最低价跌破该水平时移动止损。
策略不产生新的交易信号。示例在启动时开一个多头仓位,然后在满足条件后将止损移至保本,以便锁定利润并继续持有。
详情
- 入场条件:启动时开多头仓位,不使用额外信号。
- 多空方向:支持双向,但示例打开多头。
- 退出条件:当入场价的止损单被触发时退出。
- 止损:达到
MoveSlPrice时,止损移动到入场价。 - 默认值:
MoveSlPrice= 0(运行前需设置)CandleType= 1分钟周期
- 过滤器:
- 类型: 风险管理
- 方向: 双向
- 指标: 无
- 止损: 有
- 复杂度: 简单
- 时间框架: 短期
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 低
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>
/// Strategy that enters on EMA crossover and moves stop-loss to break-even
/// when price moves favorably by a specified StdDev multiple.
/// </summary>
public class StopLossMoverStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<decimal> _stopMult;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
private decimal _stopPrice;
private bool _isStopMoved;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public decimal StopMult { get => _stopMult.Value; set => _stopMult.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public StopLossMoverStrategy()
{
_fastLength = Param(nameof(FastLength), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowLength = Param(nameof(SlowLength), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_stopMult = Param(nameof(StopMult), 1.5m)
.SetDisplay("Stop Mult", "StdDev multiplier for initial stop", "Risk");
_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();
_entryPrice = 0;
_stopPrice = 0;
_isStopMoved = false;
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastLength };
var slowEma = new ExponentialMovingAverage { Length = SlowLength };
var stdDev = new StandardDeviation { Length = 14 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, stdDev, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow, decimal stdVal)
{
if (candle.State != CandleStates.Finished)
return;
if (stdVal <= 0)
return;
var close = candle.ClosePrice;
// Check stop-loss hit
if (Position > 0 && _stopPrice > 0 && close <= _stopPrice)
{
SellMarket();
_entryPrice = 0;
_stopPrice = 0;
_isStopMoved = false;
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
else if (Position < 0 && _stopPrice > 0 && close >= _stopPrice)
{
BuyMarket();
_entryPrice = 0;
_stopPrice = 0;
_isStopMoved = false;
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
// Move stop to break-even when price moves favorably by 2*stdDev
if (Position > 0 && !_isStopMoved && _entryPrice > 0)
{
if (close >= _entryPrice + 2 * stdVal)
{
_stopPrice = _entryPrice;
_isStopMoved = true;
}
}
else if (Position < 0 && !_isStopMoved && _entryPrice > 0)
{
if (close <= _entryPrice - 2 * stdVal)
{
_stopPrice = _entryPrice;
_isStopMoved = true;
}
}
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
// Entry signals: EMA crossover
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
_stopPrice = close - StopMult * stdVal;
_isStopMoved = false;
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
_stopPrice = close + StopMult * stdVal;
_isStopMoved = false;
}
_prevFast = fast;
_prevSlow = slow;
}
}
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 stop_loss_mover_strategy(Strategy):
def __init__(self):
super(stop_loss_mover_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 10) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_length = self.Param("SlowLength", 30) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._stop_mult = self.Param("StopMult", 1.5) \
.SetDisplay("Stop Mult", "StdDev multiplier for initial stop", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._entry_price = 0.0
self._stop_price = 0.0
self._is_stop_moved = False
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def stop_mult(self):
return self._stop_mult.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stop_loss_mover_strategy, self).OnReseted()
self._entry_price = 0.0
self._stop_price = 0.0
self._is_stop_moved = False
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(stop_loss_mover_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_length
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_length
std_dev = StandardDeviation()
std_dev.Length = 14
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, std_dev, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def on_process(self, candle, fast, slow, std_val):
if candle.State != CandleStates.Finished:
return
if std_val <= 0:
return
close = candle.ClosePrice
# Check stop-loss hit
if self.Position > 0 and self._stop_price > 0 and close <= self._stop_price:
self.SellMarket()
self._entry_price = 0
self._stop_price = 0
self._is_stop_moved = False
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
elif self.Position < 0 and self._stop_price > 0 and close >= self._stop_price:
self.BuyMarket()
self._entry_price = 0
self._stop_price = 0
self._is_stop_moved = False
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
# Move stop to break-even when price moves favorably by 2*stdDev
if self.Position > 0 and not self._is_stop_moved and self._entry_price > 0:
if close >= self._entry_price + 2 * std_val:
self._stop_price = self._entry_price
self._is_stop_moved = True
elif self.Position < 0 and not self._is_stop_moved and self._entry_price > 0:
if close <= self._entry_price - 2 * std_val:
self._stop_price = self._entry_price
self._is_stop_moved = True
if not self._has_prev:
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
# Entry signals: EMA crossover
cross_up = self._prev_fast <= self._prev_slow and fast > slow
cross_down = self._prev_fast >= self._prev_slow and fast < slow
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._stop_price = close - self.stop_mult * std_val
self._is_stop_moved = False
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._stop_price = close + self.stop_mult * std_val
self._is_stop_moved = False
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return stop_loss_mover_strategy()