Close Orders Risk Control 策略
概览
平仓指令策略 是一个风险管理工具,复刻了原始 MQL 专家顾问 CloseOrders.mq4 的逻辑。策略持续监控持仓的浮动盈亏,只要达到设定的盈利目标或跌破止损阈值,就会自动关闭符合条件的订单,从而保护账户并同步多策略的退出时机。
工作流程
- 策略订阅可配置的K线数据(默认 1 分钟),每当K线收盘时评估最新的浮动盈亏。
- 浮动盈亏基于投资组合中的持仓计算;如果设置了魔术号,则只统计
StrategyId与该值相同的持仓。 - 当浮动盈亏大于或等于盈利目标时,所有匹配的订单与持仓都会被立即关闭。
- 当浮动盈亏小于等于设定的止损金额(负值)时,同样会触发强制平仓,以减少进一步的亏损。
- 在发送市价单之前,策略会先取消满足魔术号条件的挂单,避免在清仓过程中重新建立敞口。
清算流程会持续执行,直到所有匹配的持仓都被平掉,从而优雅地处理部分成交的情况。
参数说明
| 参数 | 说明 |
|---|---|
| Target Profit Money | 触发平仓的浮动盈利金额(账户货币),必须大于零。 |
| Cut Loss Money | 触发强制平仓的浮动亏损金额(账户货币,负值)。设置为 0 表示不启用亏损阈值。 |
| Magic Number | 可选的策略标识。留空表示管理所有持仓;若填写,则只管理 StrategyId 等于该值的持仓。 |
| Candle Type | 用于触发定期检查的K线类型。可调整时间框架以满足更高频的监控需求。 |
实现要点
- MQL 的魔术号概念映射到 StockSharp 中的
UserOrderId/StrategyId字段,请确保被管理的策略使用相同的标识。 - 源代码使用制表符缩进,并遵循转换策略的统一结构要求。
- 在发送平仓市价单之前会取消相关挂单,避免在退出过程中重新开仓。
- 如果策略与实时交易组件配合使用,可根据需要进一步扩展保护逻辑。
使用建议
- 将该策略与设置了自定义
StrategyId的交易策略配合部署,可集中处理风险退出逻辑。 - 根据实际需要调整
Candle Type参数,较短的时间框架可以更快响应浮动盈亏变化。 - 可结合通知或报警机制,在自动平仓发生时及时获知账户状态。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Close Orders Risk Control strategy: CCI crossover with risk management.
/// Buys when CCI crosses above zero, sells when crosses below zero.
/// </summary>
public class CloseOrdersRiskControlStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<decimal> _cciLevel;
private readonly StrategyParam<int> _signalCooldownCandles;
private decimal _prevCci;
private int _candlesSinceTrade;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CciPeriod { get => _cciPeriod.Value; set => _cciPeriod.Value = value; }
public decimal CciLevel { get => _cciLevel.Value; set => _cciLevel.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public CloseOrdersRiskControlStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_cciPeriod = Param(nameof(CciPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "CCI period", "Indicators");
_cciLevel = Param(nameof(CciLevel), 100m)
.SetDisplay("CCI Level", "CCI threshold for crossover", "Signals");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 4)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevCci = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevCci = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(cci, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal cciValue)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
if (_hasPrev)
{
if (_prevCci < -CciLevel && cciValue >= -CciLevel && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (_prevCci > CciLevel && cciValue <= CciLevel && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevCci = cciValue;
_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 CommodityChannelIndex
from StockSharp.Algo.Strategies import Strategy
class close_orders_risk_control_strategy(Strategy):
def __init__(self):
super(close_orders_risk_control_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._cci_period = self.Param("CciPeriod", 30)
self._cci_level = self.Param("CciLevel", 100.0)
self._signal_cooldown_candles = self.Param("SignalCooldownCandles", 4)
self._prev_cci = 0.0
self._candles_since_trade = 4
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 CciPeriod(self):
return self._cci_period.Value
@CciPeriod.setter
def CciPeriod(self, value):
self._cci_period.Value = value
@property
def CciLevel(self):
return self._cci_level.Value
@CciLevel.setter
def CciLevel(self, value):
self._cci_level.Value = value
@property
def SignalCooldownCandles(self):
return self._signal_cooldown_candles.Value
@SignalCooldownCandles.setter
def SignalCooldownCandles(self, value):
self._signal_cooldown_candles.Value = value
def OnReseted(self):
super(close_orders_risk_control_strategy, self).OnReseted()
self._prev_cci = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
def OnStarted2(self, time):
super(close_orders_risk_control_strategy, self).OnStarted2(time)
self._prev_cci = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
cci = CommodityChannelIndex()
cci.Length = self.CciPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(cci, self._process_candle).Start()
def _process_candle(self, candle, cci_value):
if candle.State != CandleStates.Finished:
return
if self._candles_since_trade < self.SignalCooldownCandles:
self._candles_since_trade += 1
cci_val = float(cci_value)
if self._has_prev:
if self._prev_cci < -self.CciLevel and cci_val >= -self.CciLevel and self.Position <= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
elif self._prev_cci > self.CciLevel and cci_val <= self.CciLevel and self.Position >= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
self._prev_cci = cci_val
self._has_prev = True
def CreateClone(self):
return close_orders_risk_control_strategy()