MACD 直方图反转策略
MACD 直方图表示 MACD 线与信号线的差值。当直方图穿越零轴时常意味着动能转向。本策略在这些穿越发生时入场,并以百分比止损控制风险。
测试表明年均收益约为 160%,该策略在外汇市场表现最佳。
每根K线计算 MACD 直方图。当其从负值转为正值时做多;从正值转为负值时做空。由于仅关注零轴交叉,交易规则简单且多为短线。
若动能未按预期延续,止损用于限制亏损。
细节
- 入场条件:MACD 直方图穿越零轴。
- 多/空:双向。
- 退出条件:止损。
- 止损:有,按百分比。
- 默认值:
FastPeriod= 12SlowPeriod= 26SignalPeriod= 9StopLossPercent= 2CandleType= 15 分钟
- 过滤条件:
- 类别: 动量
- 方向: 双向
- 指标: MACD
- 止损: 有
- 复杂度: 基础
- 时间框架: 日内
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险级别: 中等
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;
/// <summary>
/// MACD Histogram Reversal strategy.
/// The position turns long when the MACD histogram (MACD - Signal) turns positive and short when it turns negative;
/// a zero histogram keeps its previous sign. A percent stop limits the loss.
/// </summary>
public class MacdHistogramReversalStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _stopLossPercent;
private bool? _prevPositive;
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Signal line period.
/// </summary>
public int SignalPeriod
{
get => _signalPeriod.Value;
set => _signalPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public MacdHistogramReversalStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 12)
.SetRange(8, 16)
.SetDisplay("Fast Period", "Fast EMA period for MACD", "MACD");
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetRange(20, 30)
.SetDisplay("Slow Period", "Slow EMA period for MACD", "MACD");
_signalPeriod = Param(nameof(SignalPeriod), 9)
.SetRange(7, 13)
.SetDisplay("Signal Period", "Signal line period", "MACD");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevPositive = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevPositive = null;
var macdHist = new MovingAverageConvergenceDivergenceHistogram
{
Macd =
{
ShortMa = { Length = FastPeriod },
LongMa = { Length = SlowPeriod },
},
SignalMa = { Length = SignalPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macdHist, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, macdHist);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdIv)
{
if (candle.State != CandleStates.Finished || !macdIv.IsFormed)
return;
var mv = (IMacdHistogramValue)macdIv;
if (mv.Macd is not decimal macdVal || mv.Signal is not decimal signalVal)
return;
var histogram = macdVal - signalVal;
if (histogram == 0)
return;
var positive = histogram > 0;
var wasPositive = _prevPositive;
_prevPositive = positive;
if (wasPositive is not bool previous || previous == positive || !IsFormedAndOnlineAndAllowTrading())
return;
if (positive && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (!positive && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import MovingAverageConvergenceDivergenceHistogram
from StockSharp.Algo.Strategies import Strategy
class macd_histogram_reversal_strategy(Strategy):
"""
MACD Histogram Reversal strategy.
The position turns long when the MACD histogram (MACD - Signal) turns positive and short when it turns negative;
a zero histogram keeps its previous sign. A percent stop limits the loss.
"""
def __init__(self):
super(macd_histogram_reversal_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 12).SetRange(8, 16).SetDisplay("Fast Period", "Fast EMA period for MACD", "MACD")
self._slow_period = self.Param("SlowPeriod", 26).SetRange(20, 30).SetDisplay("Slow Period", "Slow EMA period for MACD", "MACD")
self._signal_period = self.Param("SignalPeriod", 9).SetRange(7, 13).SetDisplay("Signal Period", "Signal line period", "MACD")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._prev_positive = None
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(macd_histogram_reversal_strategy, self).OnReseted()
self._prev_positive = None
def OnStarted2(self, time):
super(macd_histogram_reversal_strategy, self).OnStarted2(time)
self._prev_positive = None
macd_hist = MovingAverageConvergenceDivergenceHistogram()
macd_hist.Macd.ShortMa.Length = self._fast_period.Value
macd_hist.Macd.LongMa.Length = self._slow_period.Value
macd_hist.SignalMa.Length = self._signal_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(macd_hist, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, macd_hist)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, macd_iv):
if candle.State != CandleStates.Finished or not macd_iv.IsFormed:
return
if macd_iv.Macd is None or macd_iv.Signal is None:
return
histogram = macd_iv.Macd - macd_iv.Signal
if histogram == 0:
return
positive = histogram > 0
was_positive = self._prev_positive
self._prev_positive = positive
if was_positive is None or was_positive == positive or not self.IsFormedAndOnlineAndAllowTrading():
return
if positive and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif not positive and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
def CreateClone(self):
return macd_histogram_reversal_strategy()