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Eliot Waves 策略
概述
Eliot Waves 策略是在 StockSharp 平台上对 MetaTrader 同名 EA 的重构。策略通过高层接口 SubscribeCandles().BindEx(...) 同时驱动多种指标,仅对所选时间框架的已完成 K 线做决策,从而保持与原始脚本一致的确定性行为。
入场逻辑
- 趋势过滤。 默认情况下使用周期为 6 的快速线性加权移动平均线(LWMA)和周期为 85 的慢速 LWMA,基于典型价格计算。当快速 LWMA 位于慢速 LWMA 之上时,只允许做多信号;当快速 LWMA 低于慢速 LWMA 时,只允许做空信号。
- 动量确认。 动量指标(周期 14)最新三次读数只要有一次偏离 100 的绝对值超过阈值(默认 0.3),即可视为动量充足,复刻了原 EA 的判断方式。
- 蜡烛结构。 做多时要求前两根 K 线的最低价低于上一根 K 线的最高价;做空时要求上一根 K 线的最低价低于前两根 K 线的最高价。该条件反映了源码中的“艾略特波”结构过滤器。
- 仓位递增。 每次信号尝试按固定手数(默认 0.1)叠加仓位,最多叠加
MaxPositions(默认 10) 次。若存在反向仓位,会先平掉再按新方向建仓。
风险控制与出场
- 止损/止盈。 以点值为单位设置,并基于最新的持仓均价动态计算。
- 移动止损。 当浮动盈利超过
TrailingStopPips 时,将止损跟随价格向盈利方向移动。
- 保本功能。 达到
BreakEvenTriggerPips 后,将止损移至开仓价,并按照 BreakEvenOffsetPips 留出缓冲。
- 布林带退出。 多单触及 20 周期、宽度为 2 的布林带下轨时平仓,空单触及上轨时平仓,复现了原始脚本的波动性离场规则。
- MACD 过滤。 一旦 MACD(12,26,9)主线与信号线交叉且方向不利于当前持仓,则立即退出。
- 强制离场。
EnableExitStrategy 参数可在需要时立即清空所有持仓。
参数说明
| 参数 |
描述 |
默认值 |
TradeVolume |
单次加仓的成交量。 |
0.1 |
CandleType |
用于计算的 K 线类型。 |
15 分钟 K 线 |
FastMaPeriod / SlowMaPeriod |
快速/慢速 LWMA 的周期。 |
6 / 85 |
MomentumPeriod |
动量指标的回看长度。 |
14 |
MomentumThreshold |
动量偏离 100 的最小阈值。 |
0.3 |
StopLossPips / TakeProfitPips |
止损与止盈的点数。 |
20 / 50 |
EnableTrailing / TrailingStopPips |
是否启用移动止损及其距离。 |
true / 40 |
EnableBreakEven, BreakEvenTriggerPips, BreakEvenOffsetPips |
保本功能开关、触发距离与偏移量。 |
true, 30, 30 |
MaxPositions |
最大叠加次数。 |
10 |
EnableExitStrategy |
是否强制立即平仓。 |
false |
转换细节
- 所有指标都在同一个订阅管道中更新,避免了对历史值的手动索引,符合项目对高层 API 的要求。
- 点值转换优先使用证券的
PriceStep。如果无法获取精确点值,策略会写入警告并退回到价格步长作为近似值,与原 EA 的弹性逻辑一致。
- 邮件、推送提醒等 MetaTrader 特有的通知功能被移除,改用 StockSharp 的日志系统。
- 止损、止盈、移动止损和保本规则全部由策略内部管理,实际执行时通过市价单完成,便于回测重现。
使用建议
- 根据账户规模设置
TradeVolume 与 MaxPositions,默认参数对应较保守的资金管理方式。
- 若标的波动性与默认假设差异较大,可优先优化
MomentumThreshold、StopLossPips 与 TrailingStopPips。
- 确保所选证券提供正确的价格步长,否则点值换算可能导致止损/止盈距离失真。
- 关注日志中 "Unable to determine pip size from security settings" 的警告,如出现应及时校正证券属性或手动调整风险参数。
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 EliotWavesStrategy : 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 EliotWavesStrategy()
{
_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_waves_strategy(Strategy):
def __init__(self):
super(eliot_waves_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_waves_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_waves_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_waves_strategy()