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ENewsLuckyw 策略
概述
ENewsLuckyw 策略 是从 MetaTrader 智能交易系统 e-News-Lucky$ 移植而来的定时突破策略。它会在预设时间在当前价格上下提交对称的买入止损和卖出止损单,并在挂单同时保持两者围绕价格移动。同时,策略会复制原始 MQL 逻辑中的持仓管理、可选的移动止损以及收盘清理。
交易逻辑
- 定时布置对敲挂单。 到达
SetOrdersTime 时,策略会撤销现有挂单,获取当前蜡烛收盘价,并在距离 DistancePips 的位置提交新的对称止损单。
- 持续校准挂单。 当两张挂单都处于激活状态时,每根完成的蜡烛都会重新调整价格,使对敲始终围绕市场中心,就像原始专家在每根新柱上所做的那样。
- 入场准备。 止损和可选的止盈会提前计算,在持仓打开后立即附加;一旦出现仓位,会立刻删除与仓位方向相反的挂单。
- 移动止损保护。 当
UseTrailing 启用时,价格每向盈利方向前进 TrailingStepPips,止损就按 TrailingStopPips 向内移动。如果 ProfitTrailing 为真,只有当未实现利润超过移动止损距离时才开始移动,等同于 MQL 中的 “ProfitTrailing” 选项。
- 收盘清理。 到达
DeleteOrdersTime 时,会撤销所有挂单并平掉当前持仓,避免隔夜风险。
参数
| 名称 |
说明 |
Volume |
两张止损挂单使用的交易量(手数)。 |
StopLossPips |
保护性止损距离,设为 0 表示不使用。 |
TakeProfitPips |
可选的止盈距离,设为 0 表示不使用。 |
DistancePips |
买卖止损挂单与当前价格的偏移量。 |
UseTrailing |
是否在开仓后启用移动止损。 |
ProfitTrailing |
是否要求未实现利润超过移动距离后再移动止损。 |
TrailingStopPips |
移动止损与价格之间保持的距离。 |
TrailingStepPips |
每次移动止损前所需的最小盈利增量。 |
SetOrdersTime |
提交对敲挂单的时间。 |
DeleteOrdersTime |
撤销挂单并平仓的时间。 |
CandleType |
用于时间跟踪和维护的蜡烛订阅类型。 |
使用说明
- 将策略附加到目标标的,并设置
CandleType 为希望使用的维护周期(默认 1 分钟蜡烛)。
- 根据新闻事件或交易时段调整定时参数。
- 根据标的波动性调整距离与风险控制。对于外汇品种,请确保正确配置
PriceStep,以便 StopLossPips、TakeProfitPips 与 DistancePips 转换为期望的价格偏移。
- 策略使用止损和限价单进行退出。如果交易所不支持这些委托方式,请在实盘前改为市价或模拟委托。
- 策略以交易日为单位进行重置。如果交易跨越交易所时区的午夜,请确认整个交易窗口位于同一交易日内。
转换说明
- 该策略完整复刻了原始 MQL 结构:定时下单 (
SetOrders)、新柱刷新 (ModifyOrders)、删除相反挂单 (DeleteOppositeOrders)、移动止损 (TrailingPositions) 以及日终清理。
- MQL 中基于点差的价格计算在此版本中通过最新蜡烛收盘价近似实现,因为 StockSharp 会按照
PriceStep 对价格进行归一化。
- 原脚本的声音提醒、账户号检查和颜色设置在高层 API 中没有直接对应,因此被省略。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// ENews Lucky strategy - momentum breakout with ATR filter.
/// Buys when close breaks above recent high with strong momentum.
/// Sells when close breaks below recent low with strong momentum.
/// </summary>
public class ENewsLuckywStrategy : Strategy
{
private readonly StrategyParam<int> _channelPeriod;
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevMid;
private bool _hasPrev;
public int ChannelPeriod { get => _channelPeriod.Value; set => _channelPeriod.Value = value; }
public int MomentumPeriod { get => _momentumPeriod.Value; set => _momentumPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ENewsLuckywStrategy()
{
_channelPeriod = Param(nameof(ChannelPeriod), 15)
.SetDisplay("Channel Period", "Highest/Lowest period", "Indicators");
_momentumPeriod = Param(nameof(MomentumPeriod), 10)
.SetDisplay("Momentum Period", "Momentum period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted() { base.OnReseted(); _prevClose = 0m; _prevMid = 0m; _hasPrev = false; }
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var highest = new Highest { Length = ChannelPeriod };
var lowest = new Lowest { Length = ChannelPeriod };
var momentum = new Momentum { Length = MomentumPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(highest, lowest, momentum, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest, decimal momentum)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
var mid = (highest + lowest) / 2;
if (!_hasPrev)
{
_prevClose = close;
_prevMid = mid;
_hasPrev = true;
return;
}
// Breakout above midpoint with positive momentum
if (_prevClose <= _prevMid && close > mid && momentum > 0 && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// Breakout below midpoint with negative momentum
else if (_prevClose >= _prevMid && close < mid && momentum < 0 && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevClose = close;
_prevMid = mid;
}
}
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 Highest, Lowest, Momentum
from StockSharp.Algo.Strategies import Strategy
class e_news_luckyw_strategy(Strategy):
def __init__(self):
super(e_news_luckyw_strategy, self).__init__()
self._channel_period = self.Param("ChannelPeriod", 15) \
.SetDisplay("Channel Period", "Highest/Lowest period", "Indicators")
self._momentum_period = self.Param("MomentumPeriod", 10) \
.SetDisplay("Momentum Period", "Momentum period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
@property
def channel_period(self):
return self._channel_period.Value
@property
def momentum_period(self):
return self._momentum_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(e_news_luckyw_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_mid = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(e_news_luckyw_strategy, self).OnStarted2(time)
self._has_prev = False
highest = Highest()
highest.Length = self.channel_period
lowest = Lowest()
lowest.Length = self.channel_period
momentum = Momentum()
momentum.Length = self.momentum_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, momentum, self.process_candle).Start()
def process_candle(self, candle, highest, lowest, momentum):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
high_val = float(highest)
low_val = float(lowest)
mom_val = float(momentum)
mid = (high_val + low_val) / 2.0
if not self._has_prev:
self._prev_close = close
self._prev_mid = mid
self._has_prev = True
return
if self._prev_close <= self._prev_mid and close > mid and mom_val > 0 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif self._prev_close >= self._prev_mid and close < mid and mom_val < 0 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_close = close
self._prev_mid = mid
def CreateClone(self):
return e_news_luckyw_strategy()