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Exp Blau HLM 策略
概述
Exp Blau HLM 是 MetaTrader 5 专家顾问 Exp_BlauHLM.mq5 的 StockSharp 版本。策略使用 Blau High-Low Momentum (HLM) 振荡指标,对比最近的高低点、通过 XMA 级联进行平滑,并支持三种原始模式:
- Breakdown:利用直方图穿越零轴的信号。
- Twist:监控直方图斜率的“扭转”来捕捉动量变化。
- CloudTwist:比较上/下包络线的交叉,类似云图信号。
本移植保留了原始参数和交易逻辑,仓位大小通过基础策略的 Volume 属性控制。
交易逻辑
- 每当所选周期的蜡烛收盘时,计算 Blau HLM 指标:
- 取得当前最高价与
XLength - 1 根之前最高价的差值,以及最低价的镜像差值。
- 将负值截断为零,相减后得到原始 HLM(若合约提供
PriceStep,则以点值表示)。
- 依次通过四个相同类型、不同周期的移动平均进行平滑。
- 根据 EntryMode:
- Breakdown:当较早的直方图大于零而较新的值不大于零时触发多头,并在同样条件下平掉空头;反向条件触发空头/平多。
- Twist:比较三个历史点的斜率,若中间值在此前下降后再次上升,则视为看多扭转;反之为看空扭转。
- CloudTwist:监控上下通道,若旧值上轨高于下轨且新值发生反向穿越,则发出多/空信号。
BuyOpen、SellOpen、BuyClose、SellClose 控制开平仓权限。遇到相反信号时,会先平掉当前仓位,再按 Volume 发送市价单。
参数
| 名称 |
类型 |
默认值 |
说明 |
CandleType |
DataType |
H4 蜡烛 |
用于分析的时间框架。 |
SmoothingMethod |
SmoothMethod |
Exponential |
XMA 平滑方式(不支持的旧模式会回退到 EMA)。 |
XLength |
int |
2 |
计算高低差值的窗口长度。 |
FirstLength |
int |
20 |
第一次平滑的周期。 |
SecondLength |
int |
5 |
第二次平滑的周期。 |
ThirdLength |
int |
3 |
第三次平滑的周期。 |
FourthLength |
int |
3 |
最终信号平滑的周期。 |
Phase |
int |
15 |
Jurik 相位(限制在 ±100,仅对 Jurik 生效)。 |
SignalBar |
int |
1 |
生成信号时引用的历史偏移量。 |
EntryMode |
Mode |
Twist |
交易模式(Breakdown、Twist、CloudTwist)。 |
BuyOpen / SellOpen |
bool |
true |
是否允许开多/开空。 |
BuyClose / SellClose |
bool |
true |
是否允许在反向信号时平多/平空。 |
移植说明
- MQL 库
SmoothAlgorithms.mqh 提供了 JJMA、JurX、ParMA、T3、VIDYA、AMA 等专有平滑算法。StockSharp 仅内置常见版本,未实现的选项使用 EMA 近似。
- 原策略中的资金管理参数 (
MM、MarginMode、StopLoss、TakeProfit、Deviation) 在此版本中由 Volume 和市价执行取代。
SignalBar 的行为被完整保留:策略维护内部缓冲区,始终对比指定偏移的历史值,以便于与 MT5 回测结果对齐。
- 保护逻辑由
StartProtection() 启动,如需固定止损/止盈,请在上层策略或连接器中配置。
使用建议
- 在启动策略前设置
Volume,确定每笔交易的合约数量。
- 对无有效
PriceStep 的品种,指标以原始价格为单位,必要时调整平滑周期以匹配波动。
- 使用非指数平滑时避免在很短周期上使用极端
Phase 值,否则信号会非常噪声。可适当增大周期。
- 建议结合账户级风险控制或其他保护措施来模拟原策略中的止损/止盈逻辑。
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 ExpBlauHlmStrategy : 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 ExpBlauHlmStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).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 exp_blau_hlm_strategy(Strategy):
def __init__(self):
super(exp_blau_hlm_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.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(exp_blau_hlm_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(exp_blau_hlm_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 exp_blau_hlm_strategy()