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Eliot Wave 策略(MQL4 "Eliot Wave I" 移植版)
概览
Eliot Wave Strategy 将 MetaTrader 4 专家顾问 "Eliot Wave I" 移植到 StockSharp API。
策略结合了快慢两条线性加权移动平均线(LWMA)、更高周期的动量确认以及
超慢周期的 MACD 过滤器,用来捕捉顺势的爆发行情并在同时控制风险。
核心指标
- 快速 LWMA(默认 6):使用典型价格
(High + Low + Close) / 3 监控短期趋势。
- 慢速 LWMA(默认 85):在同一时间框架上衡量大趋势方向。
- Momentum(默认周期 14):在更高时间框架上计算,并转换为相对于 100 的偏离度,
任何值高于阈值都表示行情动量充足。
- MACD (12, 26, 9):在非常慢的时间框架(默认约 30 天 K 线)上运行,用于过滤宏观趋势。
只有当 MACD 主线高于信号线时才允许做多,低于信号线时才允许做空。
参数
| 参数 |
说明 |
默认值 |
Base Candle |
LWMA 计算使用的基础时间框架。 |
15 分钟 K 线 |
Momentum Candle |
动量确认使用的更高时间框架。 |
1 小时 K 线 |
MACD Candle |
MACD 趋势过滤使用的时间框架。 |
30 天 K 线 |
Fast LWMA |
快速 LWMA 的周期。 |
6 |
Slow LWMA |
慢速 LWMA 的周期。 |
85 |
Momentum Period |
动量指标的回溯周期。 |
14 |
Momentum Buy Threshold |
判定多头动量所需的最小偏离值。 |
0.3 |
Momentum Sell Threshold |
判定空头动量所需的最小偏离值。 |
0.3 |
Stop Loss (pts) |
以报价点为单位的止损距离。 |
20 |
Take Profit (pts) |
以报价点为单位的止盈距离。 |
50 |
Trade Volume |
每次下单的手数。 |
1 手 |
Max Position |
允许持有的最大净仓位,等同于原 EA 的 Max_Trades 限制。 |
10 手 |
所有设置均通过 StrategyParam<T> 实现,因此可以直接在 Designer / Runner 中优化。
交易规则
- 趋势与结构过滤
- 做多时要求快速 LWMA 位于慢速 LWMA 之上;做空时相反。
- 最近两根已完成的 K 线需要互相重叠:做多时
Low[2] < High[1],做空时
Low[1] < High[2],以复制原 EA 的盘整判定。
- 动量确认
- 将动量值转换为
abs(momentum - 100),如果最近三次计算中任意一次超过阈值,
认为当前存在有效动量。
- 宏观趋势过滤
- 做多必须满足 MACD 主线高于信号线;做空必须低于信号线。
- 执行逻辑
- 当所有条件同时满足时,策略以市价单进场,并在必要时平掉原持仓后再加上
设定的交易量。
- 支持直接反手,确保行为与原 EA 保持一致。
风险管理
StartProtection 会自动应用止损和止盈距离(以点数表示)。
- 额外的离场逻辑会在趋势或 MACD 条件反转时提前平仓,以贴近原脚本的保护逻辑。
Max Position 参数限制总持仓,防止出现超出原 EA 允许的并发交易数量。
与原版 EA 的差异
- 移除了基于图形对象的趋势线检查和邮件/推送通知,因为这些是 MetaTrader 特有功能。
- 原始脚本中复杂的保本与拖动止损机制被简化为
StartProtection。如需完全复制,
可以在此基础上进一步扩展。
- 未实现按账户权益计算的强制清仓逻辑;风险通过固定止损和仓位上限来控制。
使用建议
- 确保行情源同时提供三个所需的 K 线序列(基础、动量、MACD)。
- 根据标的的波动率调整交易量、止损/止盈距离以及动量阈值。
- 如果多空表现明显不对称,可分别优化两个动量阈值。
- 启用内置的图表显示(K 线、LWMA、成交标记)有助于调试与回测。
该移植版在保持 StockSharp 高层 API 风格的同时,忠实复现了原 MQL4 专家顾问的
信号生成逻辑。
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 EliotWaveStrategy : 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 EliotWaveStrategy()
{
_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 eliot_wave_strategy(Strategy):
def __init__(self):
super(eliot_wave_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(eliot_wave_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(eliot_wave_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 eliot_wave_strategy()