Preisextreme außerhalb der Bollinger Bands kehren oft zur mittleren Band zurück. Dieser Ansatz geht gegen diese Ausdehnungen vor: Er kauft Einbrüche unterhalb des unteren Bands, wenn die Kerze grün schließt, und verkauft Rallyes über dem oberen Band nach einer roten Kerze.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 94%. Sie funktioniert am besten auf dem Aktienmarkt.
Der Algorithmus berechnet Bollinger Bands auf jedem Balken und prüft, ob der Schlusskurs das äußere Band durchbricht. Wenn eine bullische Kerze unter dem unteren Band schließt, wird ein Long eröffnet; wenn eine bärische Kerze über dem oberen Band schließt, wird ein Short eingegangen. Der Stop basiert auf einem ATR-Vielfachen, während Ausstiege erfolgen, wenn der Preis zur mittleren Band zurückkehrt.
Mean-Reversion-Trades dauern typischerweise nur wenige Balken, was dieses Setup für kurzfristige Volatilitätskontraktionen geeignet macht.
Details
Einstiegskriterien: Schluss unter unterem Band mit bullischer Kerze oder Schluss über oberem Band mit bärischer Kerze.
Long/Short: Beide.
Ausstiegskriterien: Preis kreuzt mittleres Band oder Stop-Loss.
Stops: Ja, ATR-basiert.
Standardwerte:
BollingerPeriod = 20
BollingerDeviation = 2.0
AtrMultiplier = 2.0
CandleType = 5 minute
Filter:
Kategorie: Mean Reversion
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>
/// Bollinger Band Reversal strategy.
/// Enters long when price is below the lower Bollinger Band and candle is bullish.
/// Enters short when price is above the upper Bollinger Band and candle is bearish.
/// Exits at middle band.
/// </summary>
public class BollingerBandReversalStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private int _cooldown;
/// <summary>
/// Bollinger Bands period.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Bollinger Bands deviation multiplier.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public BollingerBandReversalStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Bollinger Period", "Period for Bollinger Bands", "Indicators");
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetNotNegative()
.SetDisplay("Bollinger Deviation", "Standard deviations for Bollinger Bands", "Indicators");
_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();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cooldown = 0;
var bollingerBands = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bollingerBands, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollingerBands);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!bollingerValue.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var bb = (BollingerBandsValue)bollingerValue;
var upperBand = bb.UpBand;
var lowerBand = bb.LowBand;
var middleBand = bb.MovingAverage;
var isBullish = candle.ClosePrice > candle.OpenPrice;
var isBearish = candle.ClosePrice < candle.OpenPrice;
if (Position == 0 && candle.ClosePrice < lowerBand && isBullish)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && candle.ClosePrice > upperBand && isBearish)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice > middleBand)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice < middleBand)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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_reversal_strategy(Strategy):
"""
Bollinger Band Reversal strategy.
Enters long when price is below the lower Bollinger Band and candle is bullish.
Enters short when price is above the upper Bollinger Band and candle is bearish.
Exits at middle band.
"""
def __init__(self):
super(bollinger_band_reversal_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20).SetDisplay("Bollinger Period", "Period for Bollinger Bands", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0).SetDisplay("Bollinger Deviation", "Standard deviations for Bollinger Bands", "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._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_band_reversal_strategy, self).OnReseted()
self._cooldown = 0
def OnStarted2(self, time):
super(bollinger_band_reversal_strategy, self).OnStarted2(time)
self._cooldown = 0
bb = BollingerBands()
bb.Length = self._bollinger_period.Value
bb.Width = self._bollinger_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_value):
if candle.State != CandleStates.Finished:
return
if not bb_value.IsFormed:
return
if self._cooldown > 0:
self._cooldown -= 1
return
upper_band = bb_value.UpBand
lower_band = bb_value.LowBand
middle_band = bb_value.MovingAverage
if upper_band is None or lower_band is None or middle_band is None:
return
close = float(candle.ClosePrice)
ub = float(upper_band)
lb = float(lower_band)
mb = float(middle_band)
cd = self._cooldown_bars.Value
is_bullish = candle.ClosePrice > candle.OpenPrice
is_bearish = candle.ClosePrice < candle.OpenPrice
if self.Position == 0 and close < lb and is_bullish:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and close > ub and is_bearish:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close > mb:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close < mb:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return bollinger_band_reversal_strategy()