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Master Exit Plan 策略
概述
MasterExitPlanStrategy 将 MetaTrader 顾问 "Master Exit Plan" 的风控逻辑移植到 StockSharp。该策略不会主动开仓,而是监控已有头寸:根据多组止损规则管理风险,跟踪挂单,并在权益达到目标百分比时一次性平仓。
策略订阅 1 分钟 K 线,以模拟原脚本中的 iOpen(symbol, PERIOD_M1, 1) 调用。计时器每秒触发一次,对应 MQL4 的 EventSetTimer(1) 行为。
功能
- 权益目标退出:当组合权益增长达到设定百分比时立即清仓。
- 静态与动态止损:同时监控开仓价距离与上一分钟开盘价派生的动态阈值。
- 隐藏止损:不在交易所挂单,而是由策略内部发送市价单完成保护。
- 追踪止损模块:在收益达到最小阈值后启用,并自动考虑当前点差。
- 挂单追踪:自动重新登记 buy stop / sell stop 订单,使其始终贴近行情。
参数
| 名称 |
说明 |
默认值 |
EnableTargetEquity |
是否启用权益目标退出。 |
false |
TargetEquityPercent |
权益目标的百分比幅度。 |
1 |
EnableStopLoss |
启用静态(交易所式)止损。 |
false |
StopLossPoints |
静态止损距离(点)。 |
2000 |
EnableDynamicStopLoss |
将止损锚定到上一分钟开盘价。 |
false |
DynamicStopLossPoints |
动态止损距离(点)。 |
2000 |
EnableHiddenStopLoss |
启用隐藏静态止损。 |
false |
HiddenStopLossPoints |
隐藏静态止损距离(点)。 |
800 |
EnableHiddenDynamicStopLoss |
启用隐藏动态止损。 |
false |
HiddenDynamicStopLossPoints |
隐藏动态止损距离(点)。 |
800 |
EnableTrailingStop |
启用追踪止损模块。 |
false |
TrailingStopPoints |
追踪止损距离(点)。 |
5 |
TrailingTargetPercent |
启用追踪前所需的权益收益百分比。 |
0.2 |
SureProfitPoints |
启用追踪前需要额外锁定的点数。 |
30 |
EnableTrailPendingOrders |
是否追踪未成交的 stop 挂单。 |
false |
TrailPendingOrderPoints |
挂单与行情之间的目标距离(点)。 |
10 |
使用提示
- 将策略绑定到由其他模块或人工开仓的证券上。
Volume 应设置为在清仓时需要反向成交的合约数量。
- 投资组合需提供
Portfolio.CurrentValue,用于模拟 MetaTrader 的 AccountBalance / AccountEquity。若该值缺失,权益目标功能不会触发。
- 策略使用最优买卖价计算点差,请确保有 Level1 行情数据。
- 所有保护动作均通过市价单完成,未在交易所生成真实止损单,保持与原顾问“隐藏止损”的逻辑一致。
与 MQL 版本的差异
- 不再调用
OrderModify,而是通过定时检查并在触发阈值时直接平仓。
- 动态止损依赖
SubscribeCandles 提供的最新一分钟收盘蜡烛;没有蜡烛数据时相关逻辑自动停用。
- 挂单追踪仅处理当前策略创建的 stop 挂单,其他模块的保护单不会被移动。
- 权益计算基于
Portfolio.CurrentValue(若为空则回退到 Portfolio.BeginValue)。
测试
策略未附带自动化测试。请先在 StockSharp 模拟器中使用历史数据回测,再部署到真实环境。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Master Exit Plan strategy: EMA trend following with ATR-based trailing stop exit.
/// Enters on EMA crossover, exits when price retraces by ATR multiple.
/// </summary>
public class MasterExitPlanStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private decimal _entryPrice;
private decimal _trailStop;
private bool _wasBullish;
private bool _hasTrendState;
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 int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal AtrMultiplier { get => _atrMultiplier.Value; set => _atrMultiplier.Value = value; }
public MasterExitPlanStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 60)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period for trailing stop", "Risk");
_atrMultiplier = Param(nameof(AtrMultiplier), 3m)
.SetDisplay("ATR Multiplier", "ATR multiplier for trailing distance", "Risk");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
_trailStop = 0;
_wasBullish = false;
_hasTrendState = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_entryPrice = 0;
_trailStop = 0;
_wasBullish = false;
_hasTrendState = false;
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fastEma, slowEma, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
var close = candle.ClosePrice;
var range = candle.HighPrice - candle.LowPrice;
if (range <= 0) return;
var trailDist = range * AtrMultiplier;
var isBullish = fastValue > slowValue;
var crossedUp = _hasTrendState && !_wasBullish && isBullish;
var crossedDown = _hasTrendState && _wasBullish && !isBullish;
if (Position > 0)
{
var newStop = close - trailDist;
if (newStop > _trailStop)
_trailStop = newStop;
if (close < _trailStop)
{
SellMarket();
_trailStop = 0;
_entryPrice = 0;
_wasBullish = isBullish;
_hasTrendState = true;
return;
}
else if (crossedDown)
{
SellMarket();
_trailStop = 0;
_entryPrice = 0;
_wasBullish = isBullish;
_hasTrendState = true;
return;
}
}
else if (Position < 0)
{
var newStop = close + trailDist;
if (_trailStop == 0 || newStop < _trailStop)
_trailStop = newStop;
if (close > _trailStop)
{
BuyMarket();
_trailStop = 0;
_entryPrice = 0;
_wasBullish = isBullish;
_hasTrendState = true;
return;
}
else if (crossedUp)
{
BuyMarket();
_trailStop = 0;
_entryPrice = 0;
_wasBullish = isBullish;
_hasTrendState = true;
return;
}
}
if (Position == 0)
{
if (crossedUp)
{
BuyMarket();
_entryPrice = close;
_trailStop = close - trailDist;
}
else if (crossedDown)
{
SellMarket();
_entryPrice = close;
_trailStop = close + trailDist;
}
}
_wasBullish = isBullish;
_hasTrendState = 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 master_exit_plan_strategy(Strategy):
def __init__(self):
super(master_exit_plan_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._fast_period = self.Param("FastPeriod", 20)
self._slow_period = self.Param("SlowPeriod", 60)
self._atr_period = self.Param("AtrPeriod", 14)
self._atr_multiplier = self.Param("AtrMultiplier", 3.0)
self._entry_price = 0.0
self._trail_stop = 0.0
self._was_bullish = False
self._has_trend_state = 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
@property
def AtrPeriod(self):
return self._atr_period.Value
@AtrPeriod.setter
def AtrPeriod(self, value):
self._atr_period.Value = value
@property
def AtrMultiplier(self):
return self._atr_multiplier.Value
@AtrMultiplier.setter
def AtrMultiplier(self, value):
self._atr_multiplier.Value = value
def OnReseted(self):
super(master_exit_plan_strategy, self).OnReseted()
self._entry_price = 0.0
self._trail_stop = 0.0
self._was_bullish = False
self._has_trend_state = False
def OnStarted2(self, time):
super(master_exit_plan_strategy, self).OnStarted2(time)
self._entry_price = 0.0
self._trail_stop = 0.0
self._was_bullish = False
self._has_trend_state = False
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.FastPeriod
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast_ema, slow_ema, self._process_candle).Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
rng = float(candle.HighPrice) - float(candle.LowPrice)
if rng <= 0:
return
trail_dist = rng * float(self.AtrMultiplier)
is_bullish = float(fast_value) > float(slow_value)
crossed_up = self._has_trend_state and not self._was_bullish and is_bullish
crossed_down = self._has_trend_state and self._was_bullish and not is_bullish
if self.Position > 0:
new_stop = close - trail_dist
if new_stop > self._trail_stop:
self._trail_stop = new_stop
if close < self._trail_stop:
self.SellMarket()
self._trail_stop = 0.0
self._entry_price = 0.0
self._was_bullish = is_bullish
self._has_trend_state = True
return
elif crossed_down:
self.SellMarket()
self._trail_stop = 0.0
self._entry_price = 0.0
self._was_bullish = is_bullish
self._has_trend_state = True
return
elif self.Position < 0:
new_stop = close + trail_dist
if self._trail_stop == 0 or new_stop < self._trail_stop:
self._trail_stop = new_stop
if close > self._trail_stop:
self.BuyMarket()
self._trail_stop = 0.0
self._entry_price = 0.0
self._was_bullish = is_bullish
self._has_trend_state = True
return
elif crossed_up:
self.BuyMarket()
self._trail_stop = 0.0
self._entry_price = 0.0
self._was_bullish = is_bullish
self._has_trend_state = True
return
if self.Position == 0:
if crossed_up:
self.BuyMarket()
self._entry_price = close
self._trail_stop = close - trail_dist
elif crossed_down:
self.SellMarket()
self._entry_price = close
self._trail_stop = close + trail_dist
self._was_bullish = is_bullish
self._has_trend_state = True
def CreateClone(self):
return master_exit_plan_strategy()