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X Bug 策略
概述
X Bug 策略 源自同名的 MQL4 智能交易系统,是一套基于移动平均线交叉的趋势跟随方案。策略使用蜡烛图的中价来计算快、慢两条简单移动平均线,当快线向上或向下穿越慢线时,按照交叉方向建立仓位。本实现保留了原版 EA 的核心特性,包括信号反向、反向信号时自动平仓以及以点(pip)为单位的风控设置。
交易逻辑
- 订阅设定的蜡烛类型(默认 1 分钟),计算两条简单移动平均线,并应用参数中的指标位移。
- 当当前快线值高于慢线、且前两个柱子的快线值低于慢线时认定为看多交叉;反之则为看空交叉。
- 启用 ReverseSignals 参数时,策略会反向执行交易信号。
- 若启用 CloseOnSignal,在新的反向信号出现时会立即平掉当前反向持仓,然后再执行新交易。
- 仅在仓位为空或方向一致时开仓,避免同方向叠加仓位。
风险控制
- StopLossPips:设置以点为单位的止损距离。对于五位或三位小数报价,会根据品种的最小报价单位自动换算。
- TakeProfitPips:设置以点为单位的止盈目标。
- TrailingStopPips:启用 UseTrailingStop 时,在持仓盈利后按照该距离启动移动止损,移动步长与距离相同,以模拟原始 EA 的行为。
- 所有保护性订单通过
StartProtection 管理,并以市价执行,确保与 MQL4 版本一致。
参数
| 参数 |
说明 |
默认值 |
OrderVolume |
每次入场使用的基础手数。 |
0.1 |
StopLossPips |
止损距离(点)。设为 0 可禁用。 |
70 |
TakeProfitPips |
止盈距离(点)。设为 0 可禁用。 |
5000 |
UseTrailingStop |
是否启用移动止损。 |
true |
TrailingStopPips |
移动止损距离(点)。 |
90 |
FastPeriod |
快速移动平均线周期。 |
1 |
FastShift |
快速移动平均线的位移(柱数)。 |
0 |
SlowPeriod |
慢速移动平均线周期。 |
14 |
SlowShift |
慢速移动平均线的位移(柱数)。 |
10 |
CloseOnSignal |
新信号出现时是否强制平掉反向仓位。 |
true |
ReverseSignals |
是否反向执行交易信号。 |
false |
AppliedPrice |
指标使用的价格类型。 |
Median |
CandleType |
生成信号使用的蜡烛类型。 |
1 分钟时间框架 |
备注
- 对于 5 位或 3 位小数报价,策略会将价格步长乘以 10 以获得 1 个点的大小,从而与原版 EA 保持一致。
- 本目录仅提供 C# 实现,暂不包含 Python 版本。
- 将任意点距参数设为
0 即可关闭对应的止损、止盈或移动止损功能。
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Moving average crossover strategy converted from the MQL4 expert "X bug".
/// Uses fast and slow SMA crossover for signal generation.
/// </summary>
public class XBugStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<bool> _reverseSignals;
private readonly StrategyParam<DataType> _candleType;
private SimpleMovingAverage _slowMa;
private decimal? _prevFast;
private decimal? _prevSlow;
private int _cooldown;
private int _candleCount;
public XBugStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("Fast MA period", "Length of the fast moving average.", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Slow MA period", "Length of the slow moving average.", "Indicators");
_reverseSignals = Param(nameof(ReverseSignals), false)
.SetDisplay("Reverse signals", "Invert buy and sell directions.", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle type", "Primary timeframe used for signals.", "General");
}
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
public bool ReverseSignals
{
get => _reverseSignals.Value;
set => _reverseSignals.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_slowMa = default;
_prevFast = null;
_prevSlow = null;
_cooldown = 0;
_candleCount = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
Volume = 0.001m;
_prevFast = null;
_prevSlow = null;
_cooldown = 0;
_candleCount = 0;
_slowMa = new SimpleMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_slowMa, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_slowMa.IsFormed)
return;
_candleCount++;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Use close price as the "fast" value (period=1 effectively)
var fastValue = candle.ClosePrice;
if (_prevFast is null || _prevSlow is null)
{
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
var signal = 0;
if (fastValue > slowValue && _prevFast.Value <= _prevSlow.Value)
signal = 1;
else if (fastValue < slowValue && _prevFast.Value >= _prevSlow.Value)
signal = -1;
_prevFast = fastValue;
_prevSlow = slowValue;
if (signal == 0)
return;
if (ReverseSignals)
signal = -signal;
if (signal > 0 && Position <= 0)
{
BuyMarket();
_cooldown = 100;
}
else if (signal < 0 && Position >= 0)
{
SellMarket();
_cooldown = 100;
}
}
}
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.Strategies import Strategy
from StockSharp.Algo.Indicators import SimpleMovingAverage
class x_bug_strategy(Strategy):
def __init__(self):
super(x_bug_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle type", "Primary timeframe used for signals.", "General")
self._fast_period = self.Param("FastPeriod", 5) \
.SetDisplay("Fast MA period", "Length of the fast moving average.", "Indicators")
self._slow_period = self.Param("SlowPeriod", 14) \
.SetDisplay("Slow MA period", "Length of the slow moving average.", "Indicators")
self._reverse_signals = self.Param("ReverseSignals", False) \
.SetDisplay("Reverse signals", "Invert buy and sell directions.", "Trading")
self._prev_fast = None
self._prev_slow = None
@property
def CandleType(self):
return self._candle_type.Value
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
@property
def ReverseSignals(self):
return self._reverse_signals.Value
def OnStarted2(self, time):
super(x_bug_strategy, self).OnStarted2(time)
from System import Decimal
self.Volume = Decimal(0.001)
self._prev_fast = None
self._prev_slow = None
self._slow_ma = SimpleMovingAverage()
self._slow_ma.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._slow_ma, self.ProcessCandle).Start()
def ProcessCandle(self, candle, slow_val):
if candle.State != CandleStates.Finished:
return
if not self._slow_ma.IsFormed:
return
from System import Decimal
sv = Decimal(float(slow_val))
fast_value = candle.ClosePrice
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fast_value
self._prev_slow = sv
return
signal = 0
if fast_value > sv and self._prev_fast <= self._prev_slow:
signal = 1
elif fast_value < sv and self._prev_fast >= self._prev_slow:
signal = -1
self._prev_fast = fast_value
self._prev_slow = sv
if signal == 0:
return
if self.ReverseSignals:
signal = -signal
if signal > 0 and self.Position <= 0:
self.BuyMarket()
elif signal < 0 and self.Position >= 0:
self.SellMarket()
def OnReseted(self):
super(x_bug_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def CreateClone(self):
return x_bug_strategy()