Strategie Bollinger Band Width Breakout
Die Bollinger-Band-Breite misst den Abstand zwischen dem oberen und unteren Band. Eine zunehmende Breite deutet auf Volatilität und mögliche Trendbildung hin. Diese Strategie handelt Ausbrüche, wenn die Breite zunimmt.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 151%. Es funktioniert am besten auf dem Aktienmarkt.
Die Preisposition relativ zum mittleren Band legt die Richtung fest. Ein sich erweiternder Kanal mit Preis über dem mittleren Band löst Long-Positionen aus, während ein Kanal unterhalb des mittleren Bands Short-Positionen auslöst.
Ausstiege erfolgen, wenn die Bandbreite sich zusammenzieht oder ein Volatilitäts-Stop erreicht wird.
Details
- Einstiegskriterien: Bandbreite expandiert und Preis relativ zum mittleren Band.
- Long/Short: Beide Richtungen.
- Ausstiegskriterien: Bandbreite zieht sich zusammen oder Stop.
- Stops: Ja.
- Standardwerte:
BollingerPeriod= 20BollingerDeviation= 2.0mAtrMultiplier= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Filter:
- Kategorie: Ausbruch
- Richtung: Beide
- Indikatoren: Bollinger Bands, ATR
- Stops: Ja
- Komplexität: Grundlegend
- Zeitrahmen: Intraday
- 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>
/// Strategy that trades on Bollinger Bands Width expansion.
/// It identifies periods of increasing volatility (widening Bollinger Bands)
/// and trades in the direction of the trend as identified by price position relative to the middle band.
/// </summary>
public class BollingerBandWidthStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevWidth;
private int _cooldown;
/// <summary>
/// Period for Bollinger Bands calculation.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Deviation for Bollinger Bands calculation.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Type of candles used for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize the Bollinger Band Width strategy.
/// </summary>
public BollingerBandWidthStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetDisplay("Bollinger Period", "Period for Bollinger Bands calculation", "Indicators")
.SetOptimize(10, 30, 5);
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetDisplay("Bollinger Deviation", "Deviation for Bollinger Bands calculation", "Indicators")
.SetOptimize(1.5m, 2.5m, 0.25m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevWidth = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevWidth = 0;
_cooldown = 0;
var bollinger = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bollinger, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollinger);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!bollingerValue.IsFormed)
return;
var bb = (BollingerBandsValue)bollingerValue;
if (bb.UpBand is not decimal upperBand ||
bb.LowBand is not decimal lowerBand ||
bb.MovingAverage is not decimal middleBand)
return;
var bbWidth = upperBand - lowerBand;
if (_prevWidth == 0)
{
_prevWidth = bbWidth;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevWidth = bbWidth;
return;
}
var isBBWidthExpanding = bbWidth > _prevWidth;
if (Position == 0 && isBBWidthExpanding)
{
if (candle.ClosePrice > middleBand)
{
BuyMarket();
_cooldown = CooldownBars;
}
else
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && !isBBWidthExpanding)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && !isBBWidthExpanding)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevWidth = bbWidth;
}
}
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 BollingerBands
from StockSharp.Algo.Strategies import Strategy
class bollinger_band_width_strategy(Strategy):
"""
Strategy that trades on Bollinger Bands Width expansion.
Identifies periods of increasing volatility (widening Bollinger Bands)
and trades in the direction of the trend as identified by price position relative to the middle band.
"""
def __init__(self):
super(bollinger_band_width_strategy, self).__init__()
self._bb_period = self.Param("BollingerPeriod", 20).SetDisplay("Bollinger Period", "Period for Bollinger Bands calculation", "Indicators")
self._bb_deviation = self.Param("BollingerDeviation", 2.0).SetDisplay("Bollinger Deviation", "Deviation for Bollinger Bands calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_width = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_band_width_strategy, self).OnReseted()
self._prev_width = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(bollinger_band_width_strategy, self).OnStarted2(time)
self._prev_width = 0.0
self._cooldown = 0
bb = BollingerBands()
bb.Length = self._bb_period.Value
bb.Width = self._bb_deviation.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bb, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bb)
self.DrawOwnTrades(area)
def _process_candle(self, candle, bb_val):
if candle.State != CandleStates.Finished:
return
if not bb_val.IsFormed:
return
if bb_val.UpBand is None or bb_val.LowBand is None or bb_val.MovingAverage is None:
return
upper = float(bb_val.UpBand)
lower = float(bb_val.LowBand)
middle = float(bb_val.MovingAverage)
bb_width = upper - lower
close = float(candle.ClosePrice)
cd = self._cooldown_bars.Value
if self._prev_width == 0:
self._prev_width = bb_width
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_width = bb_width
return
is_expanding = bb_width > self._prev_width
if self.Position == 0 and is_expanding:
if close > middle:
self.BuyMarket()
self._cooldown = cd
else:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and not is_expanding:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and not is_expanding:
self.BuyMarket()
self._cooldown = cd
self._prev_width = bb_width
def CreateClone(self):
return bollinger_band_width_strategy()