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晨间回撤通道策略
概述
晨间回撤通道策略 复现了 MetaTrader 4 专家顾问 “3_Otkat_Sys_v1_2” 的逻辑。策略只在清晨时段工作,分析相隔 29 根 K 线的价格走廊,寻找夜间大幅运动后的回撤机会,并为多空仓位分别设置非对称的止盈水平。
交易逻辑
- 时间过滤 —— 仅在设定的交易小时内(默认平台时间 05:00)且该小时的前几分钟内评估信号;与原版 EA 一样会跳过周一和周五。
- 价格走廊计算 —— 对每一根已完成的 K 线维护滚动窗口,比较以下价格差:
- 29 根之前的开盘价与上一根 K 线的收盘价(
Open[29] - Close[1]),
- 上一根 K 线的收盘价与 29 根之前的开盘价(
Close[1] - Open[29]),
- 上一根收盘价到最近 29 根 K 线最低价的距离,
- 最近 29 根 K 线最高价到上一根收盘价的距离。
- 入场条件 —— 当隔夜波动超过
CorridorOpenClosePoints 阈值且最近回撤落在 PullbackPoints ± CorridorPullbackPoints 区间内时,在晨间时段以市价入场:
- 多头信号需要夜间下跌后出现浅回撤,或上涨后继续向上突破通道;
- 空头信号则是上述逻辑的镜像。
- 仓位管理 —— 每笔交易同时设置:
- 以
StopLossPoints * PriceStep 计算的止损;
- 空单使用
TakeProfitPoints * PriceStep 止盈,多单在此基础上再加上 LongTakeProfitExtraPoints。
- 日终平仓 —— 超过设定的日终阈值(默认 22:45 之后)仍未平仓的持仓会被强制平掉,避免隔夜持仓。
参数说明
| 参数 |
说明 |
TakeProfitPoints |
基础止盈距离(点),适用于空单;多单额外加上 LongTakeProfitExtraPoints。 |
StopLossPoints |
止损距离(点)。 |
PullbackPoints |
期望的回撤深度,用于评估信号。 |
CorridorOpenClosePoints |
29 根间隔的开盘/收盘差必须达到的最小值,用于确认隔夜动量。 |
CorridorPullbackPoints |
回撤阈值的容差,用来构造入场通道。 |
LongTakeProfitExtraPoints |
多单止盈在基础值上额外增加的点数。 |
TradeHour |
允许开新仓的小时(0–23)。 |
TradeMinuteLimit |
在交易小时内允许信号出现的最大分钟数。 |
CloseHour |
开始检查强制平仓的小时。 |
CloseMinuteThreshold |
在 CloseHour 中超过该分钟数即强制平仓。 |
CandleType |
使用的 K 线时间框架(默认 1 分钟)。 |
实现细节
- 策略依赖
Security.PriceStep 将点数转换为绝对价格,若品种未提供有效步长则退化为 1.0。
- 每根已完成的 K 线都会检查止损/止盈,一旦价格在该 K 线范围内触发即用市价单平仓。
- 滚动窗口保存最近 60 根 K 线,既满足 29 根的计算需求,也模拟 MQL 中
Lowest/Highest 函数的行为。
- 若宿主平台创建了图表区域,策略会自动绘制行情 K 线与自身成交。
使用建议
- 启动策略前请设置
Volume(手数);原始 EA 不会动态调整仓位规模。
- 确认数据源的时区与原始 EA 期望一致,以便获得相同的交易时间过滤效果。
- 在不同波动特性的市场上使用时,建议重新优化通道相关参数,因为默认点数针对原始品种调校。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class MorningPullbackCorridorStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private int _cooldownRemaining;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MorningPullbackCorridorStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 20).SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 80).SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 100).SetDisplay("Cooldown", "Candles between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame()).SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = default;
_prevSlow = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev) { _prevFast = fast; _prevSlow = slow; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevFast = fast;
_prevSlow = slow;
return;
}
if (_prevFast <= _prevSlow && fast > slow && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevFast >= _prevSlow && fast < slow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevFast = fast;
_prevSlow = slow;
}
}
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 morning_pullback_corridor_strategy(Strategy):
def __init__(self):
super(morning_pullback_corridor_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 20) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 80) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 100) \
.SetDisplay("Cooldown", "Candles between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(morning_pullback_corridor_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(morning_pullback_corridor_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast)
slow_val = float(slow)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
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._cooldown_remaining = self.cooldown_candles
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._cooldown_remaining = self.cooldown_candles
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return morning_pullback_corridor_strategy()