盈利自动平仓策略
该策略监控策略产生的所有交易的已实现盈亏。当累积利润超过用户设定的阈值时,会立即平掉当前持仓,并可选择取消所有挂单。通过设置亏损限制,也可以在达到最大回撤时触发同样的行为。
策略本身不分析指标或价格走势,而是充当一种保护层,在达到货币目标或止损水平时退出市场。订阅简单的K线仅用于定期检查当前的盈亏值。
参数
- UseProfitToClose – 是否根据盈利目标平仓。默认:
true。 - ProfitToClose – 触发全部平仓的盈利值(货币单位)。默认:
20。 - UseLossToClose – 是否根据亏损限制平仓。默认:
false。 - LossToClose – 当亏损超过该值(货币单位)时触发全部平仓。默认:
100。 - ClosePendingOrders – 平仓时是否取消所有挂单。默认:
true。 - CandleType – 用于触发定期检查的K线类型。默认:1分钟周期。
交易逻辑
- 订阅选定周期的K线。
- 在每根完成的K线上计算当前已实现盈亏。
- 如果利润大于或等于
ProfitToClose,则平掉全部持仓并可选取消挂单。 - 如果启用了亏损监控且当前盈亏小于等于
-LossToClose,则平掉全部持仓并可选取消挂单。
额外说明
- 该策略只会平掉所附证券的持仓。
- 挂单通过内置的
CancelActiveOrders方法取消。 - 可以与其他入场策略组合,以实现盈利止盈或账户保护。
筛选器
- 分类:风险管理
- 方向:双向
- 指标:无
- 止损:有
- 复杂度:基础
- 时间框架:任意
- 季节性:无
- 神经网络:无
- 背离:无
- 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>
/// EMA crossover strategy with profit/loss exit targets.
/// </summary>
public class CloseAtProfitStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public CloseAtProfitStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA 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();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType).Bind(fast, slow, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
// Fast crosses above slow => buy
if (_prevFast <= _prevSlow && fast > slow && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Fast crosses below slow => sell
else if (_prevFast >= _prevSlow && fast < slow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_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
from StockSharp.Algo.Strategies import Strategy
class close_at_profit_strategy(Strategy):
def __init__(self):
super(close_at_profit_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 12) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 26) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(close_at_profit_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(close_at_profit_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
if not self._has_prev:
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
# Fast crosses above slow => buy
if self._prev_fast <= self._prev_slow and fast > slow and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# Fast crosses below slow => sell
elif self._prev_fast >= self._prev_slow and fast < slow and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return close_at_profit_strategy()