日内开盘 MACD 直方图策略
概览
本策略还原 MetaTrader 专家顾问“2 1000 1 0.7% 0.5 500lev st”的逻辑:在每个新交易日的开始入场,并通过 MACD 直方图的斜率决定方向。系统以小时级别的 K 线为基础,并保留了原始 MQL 配置中的固定仓位管理参数。
交易逻辑
- 策略监听小时 K 线,识别每天的第一根 K 线。
- 使用上一交易日中最近两个收盘 K 线的 MACD 直方图值进行判断。
- 若直方图在这两个柱之间下降,则在新交易日的第一根 K 线开多仓。
- 若直方图上升,则改为开空仓。
- 同一时间只允许持有一个方向的仓位,如出现反向信号会先平仓后再开新仓。
风险控制
- 初始止损距离:875 点(按交易品种的最小跳动价乘以该数值得到价格距离)。
- 止盈距离:510 点。
- 跟踪止损距离:2172 点。跟踪止损会记录自入场以来的最高价(多头)或最低价(空头),并在移动到更紧的位置时覆盖初始止损。
- 原策略的保本移动功能关闭,因此此处也未启用。
参数
| 名称 | 说明 | 默认值 |
|---|---|---|
CandleType |
策略使用的 K 线序列(默认 1 小时)。 | 1 小时 K 线 |
MacdFastPeriod |
MACD 快速均线周期。 | 58 |
MacdSlowPeriod |
MACD 慢速均线周期。 | 195 |
MacdSignalPeriod |
MACD 信号线周期。 | 183 |
StopLossPoints |
以点数表示的止损距离。 | 875 |
TakeProfitPoints |
以点数表示的止盈距离。 | 510 |
TrailingStopPoints |
以点数表示的跟踪止损距离。 | 2172 |
备注
- 策略仅使用已收完的 K 线,模仿原专家中的“使用上一根柱”选项,避免了时间穿越问题。
- 跟踪止损和固定止盈止损均在策略内部处理,建议不要额外启用组合层面的保护,以免出现重复的止损管理。
- 参数基于标准的点值定义,如果交易品种的最小跳动价不同,请相应调整参数。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Day Opening MACD Histogram strategy: MACD histogram direction.
/// Buys when MACD histogram turns positive, sells when turns negative.
/// </summary>
public class DayOpeningMacdHistogramStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<int> _signalCooldownCandles;
private decimal _prevHistogram;
private int _candlesSinceTrade;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int SignalPeriod { get => _signalPeriod.Value; set => _signalPeriod.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public DayOpeningMacdHistogramStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("MACD Fast", "MACD fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("MACD Slow", "MACD slow EMA period", "Indicators");
_signalPeriod = Param(nameof(SignalPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("Signal Period", "MACD signal period", "Indicators");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 4)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHistogram = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevHistogram = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
var macd = new MovingAverageConvergenceDivergenceSignal
{
Macd = { ShortMa = { Length = FastPeriod }, LongMa = { Length = SlowPeriod } },
SignalMa = { Length = SignalPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(macd, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue)
{
if (candle.State != CandleStates.Finished) return;
if (!macdValue.IsFinal) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
if (macdValue is not MovingAverageConvergenceDivergenceSignalValue typed) return;
if (typed.Macd is not decimal macdMain || typed.Signal is not decimal signal) return;
var histogram = macdMain - signal;
if (_hasPrev)
{
if (_prevHistogram <= 0 && histogram > 0 && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (_prevHistogram >= 0 && histogram < 0 && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevHistogram = histogram;
_hasPrev = true;
}
}
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 MovingAverageConvergenceDivergenceSignal
from StockSharp.Algo.Strategies import Strategy
class day_opening_macd_histogram_strategy(Strategy):
def __init__(self):
super(day_opening_macd_histogram_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._fast_period = self.Param("FastPeriod", 12)
self._slow_period = self.Param("SlowPeriod", 26)
self._signal_period = self.Param("SignalPeriod", 9)
self._signal_cooldown_candles = self.Param("SignalCooldownCandles", 4)
self._prev_histogram = 0.0
self._candles_since_trade = 4
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def FastPeriod(self):
return self._fast_period.Value
@FastPeriod.setter
def FastPeriod(self, value):
self._fast_period.Value = value
@property
def SlowPeriod(self):
return self._slow_period.Value
@SlowPeriod.setter
def SlowPeriod(self, value):
self._slow_period.Value = value
@property
def SignalPeriod(self):
return self._signal_period.Value
@SignalPeriod.setter
def SignalPeriod(self, value):
self._signal_period.Value = value
@property
def SignalCooldownCandles(self):
return self._signal_cooldown_candles.Value
@SignalCooldownCandles.setter
def SignalCooldownCandles(self, value):
self._signal_cooldown_candles.Value = value
def OnReseted(self):
super(day_opening_macd_histogram_strategy, self).OnReseted()
self._prev_histogram = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
def OnStarted2(self, time):
super(day_opening_macd_histogram_strategy, self).OnStarted2(time)
self._prev_histogram = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = self.FastPeriod
macd.Macd.LongMa.Length = self.SlowPeriod
macd.SignalMa.Length = self.SignalPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(macd, self._process_candle).Start()
def _process_candle(self, candle, macd_value):
if candle.State != CandleStates.Finished:
return
if not macd_value.IsFinal:
return
if self._candles_since_trade < self.SignalCooldownCandles:
self._candles_since_trade += 1
if macd_value.Macd is None or macd_value.Signal is None:
return
macd_main = float(macd_value.Macd)
signal = float(macd_value.Signal)
histogram = macd_main - signal
if self._has_prev:
if self._prev_histogram <= 0 and histogram > 0 and self.Position <= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
elif self._prev_histogram >= 0 and histogram < 0 and self.Position >= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
self._prev_histogram = histogram
self._has_prev = True
def CreateClone(self):
return day_opening_macd_histogram_strategy()