AddOn Trailing Stop
移植自 MetaTrader 专家顾问 AddOn_TrailingStop。策略本身不会开仓,只负责为当前净持仓更新跟踪止损。
工作原理
- 订阅 Level1 数据,实时跟踪最新买价和卖价。
- 根据品种的小数位数计算点值,使参数表现与 MetaTrader 相同(4/5 位小数 = 0.0001,2/3 位小数 = 0.01)。
- 持有多头仓位且买价上涨
TrailingStartPips点时,将内部止损移动到Bid - TrailingStartPips点。 - 只有当新的止损价格至少比上一位置高
TrailingStepPips点时,才会继续上移。 - 持有空头仓位且卖价下跌
TrailingStartPips点时,将内部止损移动到Ask + TrailingStartPips点。 - 只有当新的止损价格至少比上一位置低
TrailingStepPips点时,才会继续下移。 - 当当前报价突破跟踪止损时,策略会以市价平掉全部仓位,并重置内部状态。
参数
EnableTrailing(默认 true)– 是否启用跟踪止损管理。TrailingStartPips(默认 15)– 触发跟踪的盈利点数。TrailingStepPips(默认 5)– 每次继续移动止损所需的额外盈利点数。MagicNumber(默认 0)– 为兼容 MQL 版本保留的标识,在 StockSharp 中仅用于说明。
说明
- 需要事先配置
Security、Portfolio,并接收 Level1 行情。 - 适合与负责开仓的其他策略配合使用。
- 所有输入都通过
StrategyParam<T>暴露,可用于优化或界面调整。 - 当跟踪止损被触发时发送
BuyMarket/SellMarket指令,剩余的保护性委托由 StockSharp 自动处理。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// AddOn Trailing Stop strategy: EMA crossover with trailing logic.
/// Buys when fast EMA crosses above slow EMA, sells on cross below.
/// </summary>
public class AddOnTrailingStopStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public AddOnTrailingStopStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (_hasPrev)
{
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
BuyMarket();
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
SellMarket();
}
else
{
if (fastValue > slowValue && Position <= 0)
BuyMarket();
else if (fastValue < slowValue && Position >= 0)
SellMarket();
}
_prevFast = fastValue;
_prevSlow = slowValue;
_hasPrev = true;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class add_on_trailing_stop_strategy(Strategy):
def __init__(self):
super(add_on_trailing_stop_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._fast_period = self.Param("FastPeriod", 10)
self._slow_period = self.Param("SlowPeriod", 30)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def FastPeriod(self):
return self._fast_period.Value
@FastPeriod.setter
def FastPeriod(self, value):
self._fast_period.Value = value
@property
def SlowPeriod(self):
return self._slow_period.Value
@SlowPeriod.setter
def SlowPeriod(self, value):
self._slow_period.Value = value
def OnReseted(self):
super(add_on_trailing_stop_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(add_on_trailing_stop_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast, slow, self._process_candle).Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if self._has_prev:
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
self.SellMarket()
else:
if fast_val > slow_val and self.Position <= 0:
self.BuyMarket()
elif fast_val < slow_val and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
self._has_prev = True
def CreateClone(self):
return add_on_trailing_stop_strategy()