Three Breaky 策略
Three Breaky 策略是 MetaTrader 4 专家顾问 ThreeBreaky_v1.mq4 的完整移植版本。StockSharp 实现保留了原始的三个突破子系统,将蜡烛图驱动的逻辑迁移到高级 API,并为每个模块维护独立的持仓状态。策略仅依赖一个可配置的时间框架,可以根据需要单独启用或关闭任意子系统。
交易子系统
System 1 – ATR 扩张突破
- 只读取上一根完成的蜡烛。
- 当上一根蜡烛收阳且高低价差大于 72 周期 ATR 的四倍时做多。
- 当上一根蜡烛收阴且满足同样的价差条件时做空。
System 2 – Ichimoku 云突破
- 使用默认周期 9/26/52 的 Senkou Span A 和 Senkou Span B。
- 如果前两根蜡烛收盘价均低于两条云带,而上一根蜡烛收盘价重新站上两条云带,则触发做多信号。
- 如果前两根蜡烛收盘价均高于云带,而上一根蜡烛跌破两条云带,则触发做空信号。
System 3 – 特大实体突破
- 维护最近 20 根完成蜡烛的实体长度。
- 当上一根蜡烛收阳且实体长度超过历史最大实体的三倍时做多。
- 当上一根蜡烛收阴且实体长度超过三倍阈值时做空。
每个子系统都拥有独立的虚拟仓位。系统会记录最后一次买入或卖出的时间戳,以确保在同一根蜡烛内只开仓一次,这一点与原版的 buyTag/sellTag 控制逻辑一致。
离场规则
- Parabolic SAR 反向:三个子系统共用参数为 0.005/0.2 的抛物线 SAR。当价格在最近两根蜡烛之间穿越 SAR 时,相应仓位立即平仓。
- 风险管理:可选的止损和止盈(以点为单位)在每根完成蜡烛上检查,一旦触发立即平仓。
使用的指标
- 72 周期的 Average True Range,用于衡量平均波动。
- Ichimoku Kinko Hyo(9、26、52),用于云层翻转判断。
- Parabolic SAR(0.005, 0.2),作为共用的退出和跟踪指标。
- 20 根蜡烛的实体长度缓冲区,用来复制原策略中的最大实体比较。
参数
| 参数 | 说明 |
|---|---|
UseSystem1 |
是否启用 ATR 扩张突破模块。 |
UseSystem2 |
是否启用 Ichimoku 云翻转模块。 |
UseSystem3 |
是否启用特大实体突破模块。 |
OrderVolume |
每次下单使用的交易量。 |
StopLossPips |
止损距离(点)。设为 0 表示关闭。 |
TakeProfitPips |
止盈距离(点)。设为 0 表示关闭。 |
CandleType |
工作蜡烛的时间框架(默认 1 小时)。 |
工作流程
- 订阅所选时间框架的蜡烛,仅处理收盘完成的蜡烛。
- 更新 ATR、Ichimoku、Parabolic SAR 指标以及实体长度历史。
- 检查并关闭触发止损、止盈或 SAR 反向的仓位。
- 当允许交易时,分别评估三个子系统的条件,并在条件满足时发送市价单。
- 保存最新的指标值,为下一根蜡烛提供与原始 MQL 策略一致的历史数据。
其他说明
- 策略根据品种的最小报价步长计算点值,对五位和三位小数报价分别归一化到四位和两位小数。
- 各子系统可以同时持仓,每个子系统都维护自身的方向、开仓价和最近信号时间,对应原策略中的不同
MagicNumber。 - 通过比较蜡烛的开盘时间与上一次下单时间,策略保证每个子系统在同一根蜡烛中只开仓一次。
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;
public class ThreeBreakyStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public ThreeBreakyStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 15).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 60).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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 three_breaky_strategy(Strategy):
def __init__(self):
super(three_breaky_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 15) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 60) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(three_breaky_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(three_breaky_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return three_breaky_strategy()