MACDブレイクアウト
MACDブレイクアウト戦略はMACDの突然の拡大を観察します。読み取り値が通常の範囲を超えてジャンプすると、価格は新しい動きを始めることが多いです。
テストでは平均年間リターンが約94%であることが示されています。株式市場で最も良いパフォーマンスを発揮します。
最近のデータと偏差乗数から派生したバンドをインジケーターが突破したときにポジションが開かれます。ストップ付きのロングとショートの取引が可能です。
このシステムは初期のブレイクアウトを求めるモメンタムトレーダーに適しています。MACDが平均値に戻ったら取引を決済します。デフォルト値はFastEmaPeriod = 12から始まります。
詳細
- エントリー条件: インジケーターが偏差乗数分だけ平均を超える。
- ロング/ショート: 両方向。
- エグジット条件: インジケーターが平均に回帰する。
- ストップ: あり。
- デフォルト値:
FastEmaPeriod= 12SlowEmaPeriod= 26SignalPeriod= 9SmaPeriod= 20DeviationMultiplier= 2StopLossPercent= 2CandleType= TimeSpan.FromMinutes(5) AvgとStdDevは現在値を含む直近SmaPeriod個のMACDラインの平均と標準偏差です。 ストップはエントリー価格の固定StopLossPercentで、ローソク足の間も監視されます。0で無効になります。 バンドは平均に標準偏差のDeviationMultiplier倍を加減した値です。MACDラインが上側バンドを上回ればロング、下側バンドを下回ればショートを建て、MACDラインが平均を下回ればロングを、上回ればショートを閉じます。 保有ポジションと逆方向のエントリーシグナルはドテンになります。
- フィルター:
- カテゴリ: ブレイクアウト
- 方向: 両方
- インジケーター: MACD
- ストップ: あり
- 複雑さ: 中級
- 時間軸: 短期
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// MACD Breakout strategy.
/// The bands lie DeviationMultiplier standard deviations around the average of the last SmaPeriod MACD values, the current one included.
/// MACD above the upper band goes long and MACD below the lower band goes short,
/// reversing an opposite position. A long closes once MACD is back below its average and a short once it is back above it, and a percent stop limits the loss.
/// </summary>
public class MacdBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<decimal> _deviationMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly Queue<decimal> _values = [];
/// <summary>
/// Fast EMA period of MACD.
/// </summary>
public int FastEmaPeriod
{
get => _fastEmaPeriod.Value;
set => _fastEmaPeriod.Value = value;
}
/// <summary>
/// Slow EMA period of MACD.
/// </summary>
public int SlowEmaPeriod
{
get => _slowEmaPeriod.Value;
set => _slowEmaPeriod.Value = value;
}
/// <summary>
/// Signal line period of MACD.
/// </summary>
public int SignalPeriod
{
get => _signalPeriod.Value;
set => _signalPeriod.Value = value;
}
/// <summary>
/// Values of MACD the average and the standard deviation span.
/// </summary>
public int SmaPeriod
{
get => _smaPeriod.Value;
set => _smaPeriod.Value = value;
}
/// <summary>
/// Standard deviations between the average and a band.
/// </summary>
public decimal DeviationMultiplier
{
get => _deviationMultiplier.Value;
set => _deviationMultiplier.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public MacdBreakoutStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("MACD Fast", "Fast EMA period of MACD", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("MACD Slow", "Slow EMA period of MACD", "Indicators");
_signalPeriod = Param(nameof(SignalPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("MACD Signal", "Signal line period of MACD", "Indicators");
_smaPeriod = Param(nameof(SmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Average Period", "Values of MACD the average and the standard deviation span", "Indicators");
_deviationMultiplier = Param(nameof(DeviationMultiplier), 2m)
.SetGreaterThanZero()
.SetDisplay("Multiplier", "Standard deviations between the average and a band", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_values.Clear();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_values.Clear();
var macd = new MovingAverageConvergenceDivergenceSignal
{
Macd =
{
ShortMa = { Length = FastEmaPeriod },
LongMa = { Length = SlowEmaPeriod },
},
SignalMa = { Length = SignalPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macd, 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);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, macd);
}
}
}
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 macdValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!macdValue.IsFormed || macdValue is not MovingAverageConvergenceDivergenceSignalValue { Macd: decimal macd, Signal: decimal signal })
return;
var value = macd;
_values.Enqueue(value);
if (_values.Count > SmaPeriod)
_values.Dequeue();
if (_values.Count < SmaPeriod)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var mean = _values.Average();
var deviation = (decimal)Math.Sqrt((double)_values.Average(v => (v - mean) * (v - mean)));
var upper = mean + DeviationMultiplier * deviation;
var lower = mean - DeviationMultiplier * deviation;
if (value > upper && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (value < lower && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && value < mean)
SellMarket(Position);
else if (Position < 0 && value > mean)
BuyMarket(-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, Decimal, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import MovingAverageConvergenceDivergenceSignal
from StockSharp.Algo.Strategies import Strategy
class macd_breakout_strategy(Strategy):
"""
MACD Breakout strategy.
The bands lie DeviationMultiplier standard deviations around the average of the last SmaPeriod MACD values, the current one included.
MACD above the upper band goes long and MACD below the lower band goes short,
reversing an opposite position. A long closes once MACD is back below its average and a short once it is back above it, and a percent stop limits the loss.
"""
def __init__(self):
super(macd_breakout_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 12).SetGreaterThanZero().SetDisplay("MACD Fast", "Fast EMA period of MACD", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 26).SetGreaterThanZero().SetDisplay("MACD Slow", "Slow EMA period of MACD", "Indicators")
self._signal_period = self.Param("SignalPeriod", 9).SetGreaterThanZero().SetDisplay("MACD Signal", "Signal line period of MACD", "Indicators")
self._sma_period = self.Param("SmaPeriod", 20).SetGreaterThanZero().SetDisplay("Average Period", "Values of MACD the average and the standard deviation span", "Indicators")
self._deviation_multiplier = self.Param("DeviationMultiplier", 2.0).SetGreaterThanZero().SetDisplay("Multiplier", "Standard deviations between the average and a band", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._values = []
def OnReseted(self):
super(macd_breakout_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(macd_breakout_strategy, self).OnStarted2(time)
self._reset_state()
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = self._fast_ema_period.Value
macd.Macd.LongMa.Length = self._slow_ema_period.Value
macd.SignalMa.Length = self._signal_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(macd, 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.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, macd)
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_value):
if candle.State != CandleStates.Finished:
return
if not macd_value.IsFormed or macd_value.Macd is None or macd_value.Signal is None:
return
value = macd_value.Macd
period = self._sma_period.Value
self._values.append(value)
if len(self._values) > period:
self._values.pop(0)
if len(self._values) < period:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
total = Decimal(0)
for item in self._values:
total += item
mean = total / Decimal(period)
squares = Decimal(0)
for item in self._values:
squares += (item - mean) * (item - mean)
deviation = Decimal(Math.Sqrt(Decimal.ToDouble(squares / Decimal(period))))
multiplier = Decimal(self._deviation_multiplier.Value)
upper = mean + multiplier * deviation
lower = mean - multiplier * deviation
if value > upper and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif value < lower and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and value < mean:
self.SellMarket(self.Position)
elif self.Position < 0 and value > mean:
self.BuyMarket(-self.Position)
def CreateClone(self):
return macd_breakout_strategy()