Donchian-Kanalbreiten-Ausbruch-Strategie
Die Donchian-Kanalbreiten-Ausbruch-Strategie beobachtet den Donchian auf starke Expansionen. Wenn die Werte über ihren durchschnittlichen Bereich hinausspringen, beginnt der Kurs oft eine neue Bewegung.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 61%. Am besten funktioniert sie auf dem Kryptomarkt.
Eine Position wird eröffnet, sobald der Indikator ein Band durchbricht, das aus aktuellen Daten und einem Abweichungsmultiplikator abgeleitet wird. Long- und Short-Trades sind mit einem Stop möglich.
Dieses System eignet sich für Momentum-Trader, die frühe Ausbrüche suchen. Trades werden geschlossen, wenn der Donchian zur Mitte zurückkehrt. Die Standardwerte beginnen mit DonchianPeriod = 20.
Details
- Einstiegskriterien: Indikator überschreitet den Durchschnitt um den Abweichungsmultiplikator.
- Long/Short: Beide Richtungen.
- Ausstiegskriterien: Indikator kehrt zum Durchschnitt zurück.
- Stops: Ja.
- Standardwerte:
DonchianPeriod= 20AvgPeriod= 20Multiplier= 2.0mCandleType= TimeSpan.FromMinutes(5)StopLoss= 2.0m
- Filter:
- Kategorie: Ausbruch
- Richtung: Beide
- Indikatoren: Donchian
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Kurzfristig
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
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>
/// Donchian Channel width breakout.
/// Enters when the channel width exceeds its average by a standard deviation multiplier,
/// in the direction of the close relative to the channel middle.
/// Exits when the width falls back below its average.
/// </summary>
public class DonchianWidthBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _donchianPeriod;
private readonly StrategyParam<int> _avgPeriod;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _stopLoss;
private SimpleMovingAverage _widthAverage;
private StandardDeviation _widthStdDev;
/// <summary>
/// Donchian Channel period.
/// </summary>
public int DonchianPeriod
{
get => _donchianPeriod.Value;
set => _donchianPeriod.Value = value;
}
/// <summary>
/// Period for the width average and standard deviation.
/// </summary>
public int AvgPeriod
{
get => _avgPeriod.Value;
set => _avgPeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for the width breakout.
/// </summary>
public decimal Multiplier
{
get => _multiplier.Value;
set => _multiplier.Value = value;
}
/// <summary>
/// Candle type for strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </summary>
public decimal StopLoss
{
get => _stopLoss.Value;
set => _stopLoss.Value = value;
}
/// <summary>
/// Initialize <see cref="DonchianWidthBreakoutStrategy"/>.
/// </summary>
public DonchianWidthBreakoutStrategy()
{
_donchianPeriod = Param(nameof(DonchianPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Donchian Period", "Period of the Donchian Channel", "Indicators");
_avgPeriod = Param(nameof(AvgPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Average Period", "Period for width average and deviation", "Strategy");
_multiplier = Param(nameof(Multiplier), 2.0m)
.SetGreaterThanZero()
.SetDisplay("Multiplier", "Standard deviation multiplier for breakout", "Strategy");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_stopLoss = Param(nameof(StopLoss), 2.0m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop-loss percentage", "Risk Management");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_widthAverage = null;
_widthStdDev = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var highest = new Highest { Length = DonchianPeriod };
var lowest = new Lowest { Length = DonchianPeriod };
_widthAverage = new SimpleMovingAverage { Length = AvgPeriod };
_widthStdDev = new StandardDeviation { Length = AvgPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(highest, lowest, ProcessCandle)
.Start();
StartProtection(
takeProfit: null,
stopLoss: StopLoss > 0 ? new Unit(StopLoss, UnitTypes.Percent) : null
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, highest);
DrawIndicator(area, lowest);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal highestValue, decimal lowestValue)
{
if (candle.State != CandleStates.Finished)
return;
var width = highestValue - lowestValue;
var avgWidth = _widthAverage.Process(width, candle.ServerTime, true).ToDecimal();
var stdWidth = _widthStdDev.Process(width, candle.ServerTime, true).ToDecimal();
if (!_widthAverage.IsFormed || !_widthStdDev.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
var middle = (highestValue + lowestValue) / 2m;
if (width > avgWidth + Multiplier * stdWidth)
{
if (close > middle && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
return;
}
if (close < middle && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
return;
}
}
if (width < avgWidth)
{
if (Position > 0)
SellMarket(Position);
else if (Position < 0)
BuyMarket(-Position);
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import Highest, Lowest, SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class donchian_width_breakout_strategy(Strategy):
"""
Donchian Channel width breakout.
Enters when the channel width exceeds its average by a standard deviation multiplier,
in the direction of the close relative to the channel middle.
Exits when the width falls back below its average.
"""
def __init__(self):
super(donchian_width_breakout_strategy, self).__init__()
self._donchian_period = self.Param("DonchianPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Donchian Period", "Period of the Donchian Channel", "Indicators")
self._avg_period = self.Param("AvgPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Average Period", "Period for width average and deviation", "Strategy")
self._multiplier = self.Param("Multiplier", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Multiplier", "Standard deviation multiplier for breakout", "Strategy")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._stop_loss = self.Param("StopLoss", 2.0) \
.SetNotNegative() \
.SetDisplay("Stop Loss %", "Stop-loss percentage", "Risk Management")
self._width_average = None
self._width_std_dev = None
@property
def CandleType(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
return [(self.Security, self.CandleType)]
def OnReseted(self):
super(donchian_width_breakout_strategy, self).OnReseted()
self._width_average = None
self._width_std_dev = None
def OnStarted2(self, time):
super(donchian_width_breakout_strategy, self).OnStarted2(time)
highest = Highest()
highest.Length = self._donchian_period.Value
lowest = Lowest()
lowest.Length = self._donchian_period.Value
self._width_average = SimpleMovingAverage()
self._width_average.Length = self._avg_period.Value
self._width_std_dev = StandardDeviation()
self._width_std_dev.Length = self._avg_period.Value
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(highest, lowest, self._process_candle).Start()
stop = float(self._stop_loss.Value)
self.StartProtection(None, Unit(stop, UnitTypes.Percent) if stop > 0 else None)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, highest)
self.DrawIndicator(area, lowest)
self.DrawOwnTrades(area)
def _process_candle(self, candle, highest_value, lowest_value):
if candle.State != CandleStates.Finished:
return
highest_value = float(highest_value)
lowest_value = float(lowest_value)
width = highest_value - lowest_value
avg_width = float(process_float(self._width_average, width, candle.ServerTime, True))
std_width = float(process_float(self._width_std_dev, width, candle.ServerTime, True))
if not self._width_average.IsFormed or not self._width_std_dev.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
close = float(candle.ClosePrice)
middle = (highest_value + lowest_value) / 2.0
if width > avg_width + float(self._multiplier.Value) * std_width:
if close > middle and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
return
if close < middle and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
return
if width < avg_width:
if self.Position > 0:
self.SellMarket(self.Position)
elif self.Position < 0:
self.BuyMarket(-self.Position)
def CreateClone(self):
return donchian_width_breakout_strategy()