Donchian Volume Strategie
Donchian Volume verwendet Donchian-Kanal-Ausbrüche, die durch steigendes Volumen bestätigt werden, um Trades einzuleiten. Eine Bewegung außerhalb des Kanals bei starkem Volumen deutet auf den Beginn eines neuen Trends hin.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 160%. Die Strategie funktioniert am besten auf dem Forex-Markt.
Die Strategie steigt in Richtung des Ausbruchs ein und steigt aus, wenn der Kurs wieder innerhalb des Kanals schließt oder das Volumen nachlässt.
Stops werden kurz innerhalb des Kanals gesetzt, um gegen Fehlbewegungen zu schützen.
Details
- Einstiegskriterien: Indikatorsignal
- Long/Short: Beide
- Ausstiegskriterien: Stop-Loss oder entgegengesetztes Signal
- Stops: Ja, prozentbasiert
- Standardwerte:
CandleType= 15 minuteStopLossPercent= 2DonchianPeriod= 20VolumePeriod= 20 Der Kanal umfasst das höchste Hoch und das tiefste Tief der vorherigen DonchianPeriod Kerzen. Ein Schluss außerhalb bei Volumen über dem Durchschnitt der vorherigen VolumePeriod Kerzen steigt in Ausbruchsrichtung ein und dreht eine Gegenposition. Die Position schließt, sobald der Kurs wieder im Kanal schließt oder das Volumen unter seinen Durchschnitt fällt; der Stop liegt StopLossPercent vom Einstiegspreis entfernt, knapp innerhalb der durchbrochenen Grenze.
- Filter:
- Kategorie: Ausbruch
- Richtung: Beide
- Indikatoren: Donchian Channel, Volume
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Intraday
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
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>
/// Donchian Volume strategy.
/// The channel spans the highest high and lowest low of the previous DonchianPeriod candles. A close above it on volume above
/// the average of the previous VolumePeriod candles goes long, a close below it on such volume goes short, reversing an opposite position.
/// The position closes once price closes back inside the channel or volume falls below its average, and a percent stop limits the loss.
/// </summary>
public class DonchianVolumeStrategy : Strategy
{
private readonly StrategyParam<int> _donchianPeriod;
private readonly StrategyParam<int> _volumePeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _volumes = [];
private decimal? _prevUpper;
private decimal? _prevLower;
/// <summary>
/// Previous candles the channel spans.
/// </summary>
public int DonchianPeriod
{
get => _donchianPeriod.Value;
set => _donchianPeriod.Value = value;
}
/// <summary>
/// Previous candles the volume is averaged over.
/// </summary>
public int VolumePeriod
{
get => _volumePeriod.Value;
set => _volumePeriod.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 DonchianVolumeStrategy()
{
_donchianPeriod = Param(nameof(DonchianPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Donchian Period", "Previous candles the channel spans", "Indicators");
_volumePeriod = Param(nameof(VolumePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Volume Period", "Previous candles the volume is averaged over", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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();
_volumes.Clear();
_prevUpper = null;
_prevLower = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumes.Clear();
_prevUpper = null;
_prevLower = null;
var donchian = new DonchianChannels { Length = DonchianPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(donchian, 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, donchian);
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 donchianValue)
{
if (candle.State != CandleStates.Finished)
return;
// Volume and the channel are measured on the candles before this one.
var average = _volumes.Count == VolumePeriod ? _volumes.Average() : (decimal?)null;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > VolumePeriod)
_volumes.RemoveAt(0);
var upper = _prevUpper;
var lower = _prevLower;
if (donchianValue.IsFormed && donchianValue is IDonchianChannelsValue { UpperBand: decimal currentUpper, LowerBand: decimal currentLower })
{
_prevUpper = currentUpper;
_prevLower = currentLower;
}
if (average is not decimal avgVolume || upper is not decimal channelHigh || lower is not decimal channelLow)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
var volume = candle.TotalVolume;
var signal = 0;
if (volume > avgVolume)
{
if (close > channelHigh)
signal = 1;
else if (close < channelLow)
signal = -1;
}
if (signal > 0 && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (signal < 0 && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && (close <= channelHigh || volume < avgVolume))
SellMarket(Position);
else if (Position < 0 && (close >= channelLow || volume < avgVolume))
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
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import DonchianChannels
from StockSharp.Algo.Strategies import Strategy
class donchian_volume_strategy(Strategy):
"""
Donchian Volume strategy.
The channel spans the highest high and lowest low of the previous DonchianPeriod candles. A close above it on volume above
the average of the previous VolumePeriod candles goes long, a close below it on such volume goes short, reversing an opposite position.
The position closes once price closes back inside the channel or volume falls below its average, and a percent stop limits the loss.
"""
def __init__(self):
super(donchian_volume_strategy, self).__init__()
self._donchian_period = self.Param("DonchianPeriod", 20).SetGreaterThanZero().SetDisplay("Donchian Period", "Previous candles the channel spans", "Indicators")
self._volume_period = self.Param("VolumePeriod", 20).SetGreaterThanZero().SetDisplay("Volume Period", "Previous candles the volume is averaged over", "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(15))).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._volumes = []
self._prev_upper = None
self._prev_lower = None
def OnReseted(self):
super(donchian_volume_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(donchian_volume_strategy, self).OnStarted2(time)
self._reset_state()
donchian = DonchianChannels()
donchian.Length = self._donchian_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(donchian, 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, donchian)
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, donchian_value):
if candle.State != CandleStates.Finished:
return
# Volume and the channel are measured on the candles before this one.
period = self._volume_period.Value
average = None
if len(self._volumes) == period:
total = Decimal(0)
for volume in self._volumes:
total += volume
average = total / Decimal(period)
self._volumes.append(candle.TotalVolume)
if len(self._volumes) > period:
self._volumes.pop(0)
upper = self._prev_upper
lower = self._prev_lower
if donchian_value.IsFormed and donchian_value.UpperBand is not None and donchian_value.LowerBand is not None:
self._prev_upper = donchian_value.UpperBand
self._prev_lower = donchian_value.LowerBand
if average is None or upper is None or lower is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
close = candle.ClosePrice
volume = candle.TotalVolume
signal = 0
if volume > average:
if close > upper:
signal = 1
elif close < lower:
signal = -1
if signal > 0 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif signal < 0 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and (close <= upper or volume < average):
self.SellMarket(self.Position)
elif self.Position < 0 and (close >= lower or volume < average):
self.BuyMarket(-self.Position)
def CreateClone(self):
return donchian_volume_strategy()