Стратегия Breakeven Trailing Stop
Стратегия демонстрирует, как переносить стоп-лосс в безубыток и затем сопровождать его по мере роста цены. После открытия длинной позиции она управляет ею в два этапа:
- Когда цена проходит
BreakevenPlusпунктов, стоп переносится наBreakevenStepпунктов выше цены входа. - При дальнейшем росте на
TrailingPlusпунктов выше стопа, стоп следует за ценой на расстоянииTrailingStepпунктов.
Логика симметрична для коротких позиций, если они открыты вручную.
Подробности
- Условия входа: открытие длинной позиции по первой завершённой свече.
- Long/Short: оба (пример использует long).
- Условия выхода: цена пересекает трейлинг-стоп.
- Стопы: безубыток и трейлинг-стоп.
- Параметры по умолчанию:
BreakevenPlus= 5BreakevenStep= 2TrailingPlus= 3TrailingStep= 1CandleType= TimeSpan.FromMinutes(1).TimeFrame()
- Фильтры:
- Категория: управление стопами
- Направление: оба
- Индикаторы: нет
- Стопы: безубыток, трейлинг
- Сложность: базовая
- Таймфрейм: внутридневной
- Сезонность: нет
- Нейросети: нет
- Дивергенция: нет
- Уровень риска: средний
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy that moves stop-loss to breakeven and then trails it as price advances.
/// Uses EMA crossover for entry signals with breakeven + trailing stop management.
/// </summary>
public class BreakevenTrailingStopStrategy : Strategy
{
private readonly StrategyParam<decimal> _breakevenPercent;
private readonly StrategyParam<decimal> _breakevenOffset;
private readonly StrategyParam<decimal> _trailingActivation;
private readonly StrategyParam<decimal> _trailingDistance;
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
private decimal _stopPrice;
private bool _breakevenReached;
/// <summary>
/// Profit percent before moving stop to breakeven.
/// </summary>
public decimal BreakevenPercent
{
get => _breakevenPercent.Value;
set => _breakevenPercent.Value = value;
}
/// <summary>
/// Stop offset percent above entry after breakeven activation.
/// </summary>
public decimal BreakevenOffset
{
get => _breakevenOffset.Value;
set => _breakevenOffset.Value = value;
}
/// <summary>
/// Profit percent above breakeven stop required before trailing starts.
/// </summary>
public decimal TrailingActivation
{
get => _trailingActivation.Value;
set => _trailingActivation.Value = value;
}
/// <summary>
/// Distance percent between current price and trailing stop.
/// </summary>
public decimal TrailingDistance
{
get => _trailingDistance.Value;
set => _trailingDistance.Value = value;
}
/// <summary>
/// Fast EMA period for entry signals.
/// </summary>
public int FastEmaPeriod
{
get => _fastEmaPeriod.Value;
set => _fastEmaPeriod.Value = value;
}
/// <summary>
/// Slow EMA period for entry signals.
/// </summary>
public int SlowEmaPeriod
{
get => _slowEmaPeriod.Value;
set => _slowEmaPeriod.Value = value;
}
/// <summary>
/// Candle type used for price updates.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the strategy.
/// </summary>
public BreakevenTrailingStopStrategy()
{
_breakevenPercent = Param(nameof(BreakevenPercent), 0.5m)
.SetGreaterThanZero()
.SetDisplay("Breakeven %", "Profit percent before breakeven", "Trading");
_breakevenOffset = Param(nameof(BreakevenOffset), 0.1m)
.SetGreaterThanZero()
.SetDisplay("Breakeven Offset", "Stop offset percent after breakeven", "Trading");
_trailingActivation = Param(nameof(TrailingActivation), 0.3m)
.SetGreaterThanZero()
.SetDisplay("Trailing Activation", "Profit percent above stop before trailing", "Trading");
_trailingDistance = Param(nameof(TrailingDistance), 0.3m)
.SetGreaterThanZero()
.SetDisplay("Trailing Distance", "Percent from price to trailing stop", "Trading");
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for updates", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastEma, decimal slowEma)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
if (Position == 0)
{
_breakevenReached = false;
if (fastEma > slowEma)
{
_entryPrice = close;
_stopPrice = close * (1m - 1m / 100m);
BuyMarket();
}
else if (fastEma < slowEma)
{
_entryPrice = close;
_stopPrice = close * (1m + 1m / 100m);
SellMarket();
}
return;
}
if (Position > 0)
{
if (!_breakevenReached)
{
if (close >= _entryPrice * (1m + BreakevenPercent / 100m))
{
_stopPrice = _entryPrice * (1m + BreakevenOffset / 100m);
_breakevenReached = true;
}
}
else
{
var trailingStop = close * (1m - TrailingDistance / 100m);
if (close >= _stopPrice * (1m + TrailingActivation / 100m) && trailingStop > _stopPrice)
{
_stopPrice = trailingStop;
}
}
if (candle.LowPrice <= _stopPrice)
{
SellMarket();
}
else if (fastEma < slowEma)
{
SellMarket();
}
}
else if (Position < 0)
{
if (!_breakevenReached)
{
if (close <= _entryPrice * (1m - BreakevenPercent / 100m))
{
_stopPrice = _entryPrice * (1m - BreakevenOffset / 100m);
_breakevenReached = true;
}
}
else
{
var trailingStop = close * (1m + TrailingDistance / 100m);
if (close <= _stopPrice * (1m - TrailingActivation / 100m) && trailingStop < _stopPrice)
{
_stopPrice = trailingStop;
}
}
if (candle.HighPrice >= _stopPrice)
{
BuyMarket();
}
else if (fastEma > slowEma)
{
BuyMarket();
}
}
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0m;
_stopPrice = 0m;
_breakevenReached = false;
}
}
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 breakeven_trailing_stop_strategy(Strategy):
def __init__(self):
super(breakeven_trailing_stop_strategy, self).__init__()
self._breakeven_percent = self.Param("BreakevenPercent", 0.5) \
.SetDisplay("Breakeven %", "Profit percent before breakeven", "Trading")
self._breakeven_offset = self.Param("BreakevenOffset", 0.1) \
.SetDisplay("Breakeven Offset", "Stop offset percent after breakeven", "Trading")
self._trailing_activation = self.Param("TrailingActivation", 0.3) \
.SetDisplay("Trailing Activation", "Profit percent above stop before trailing", "Trading")
self._trailing_distance = self.Param("TrailingDistance", 0.3) \
.SetDisplay("Trailing Distance", "Percent from price to trailing stop", "Trading")
self._fast_ema_period = self.Param("FastEmaPeriod", 8) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for updates", "General")
self._entry_price = 0.0
self._stop_price = 0.0
self._breakeven_reached = False
@property
def breakeven_percent(self):
return self._breakeven_percent.Value
@property
def breakeven_offset(self):
return self._breakeven_offset.Value
@property
def trailing_activation(self):
return self._trailing_activation.Value
@property
def trailing_distance(self):
return self._trailing_distance.Value
@property
def fast_ema_period(self):
return self._fast_ema_period.Value
@property
def slow_ema_period(self):
return self._slow_ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(breakeven_trailing_stop_strategy, self).OnReseted()
self._entry_price = 0.0
self._stop_price = 0.0
self._breakeven_reached = False
def OnStarted2(self, time):
super(breakeven_trailing_stop_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_ema_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.OnProcess).Start()
def OnProcess(self, candle, fast_ema, slow_ema):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
fast_val = float(fast_ema)
slow_val = float(slow_ema)
if self.Position == 0:
self._breakeven_reached = False
if fast_val > slow_val:
self._entry_price = close
self._stop_price = close * (1.0 - 1.0 / 100.0)
self.BuyMarket()
elif fast_val < slow_val:
self._entry_price = close
self._stop_price = close * (1.0 + 1.0 / 100.0)
self.SellMarket()
return
if self.Position > 0:
if not self._breakeven_reached:
if close >= self._entry_price * (1.0 + float(self.breakeven_percent) / 100.0):
self._stop_price = self._entry_price * (1.0 + float(self.breakeven_offset) / 100.0)
self._breakeven_reached = True
else:
trailing_stop = close * (1.0 - float(self.trailing_distance) / 100.0)
if close >= self._stop_price * (1.0 + float(self.trailing_activation) / 100.0) and trailing_stop > self._stop_price:
self._stop_price = trailing_stop
if float(candle.LowPrice) <= self._stop_price:
self.SellMarket()
elif fast_val < slow_val:
self.SellMarket()
elif self.Position < 0:
if not self._breakeven_reached:
if close <= self._entry_price * (1.0 - float(self.breakeven_percent) / 100.0):
self._stop_price = self._entry_price * (1.0 - float(self.breakeven_offset) / 100.0)
self._breakeven_reached = True
else:
trailing_stop = close * (1.0 + float(self.trailing_distance) / 100.0)
if close <= self._stop_price * (1.0 - float(self.trailing_activation) / 100.0) and trailing_stop < self._stop_price:
self._stop_price = trailing_stop
if float(candle.HighPrice) >= self._stop_price:
self.BuyMarket()
elif fast_val > slow_val:
self.BuyMarket()
def CreateClone(self):
return breakeven_trailing_stop_strategy()