Bollinger Volatility Breakout
The Bollinger Volatility Breakout strategy is built around Bollinger Bands breakout with volatility confirmation.
Testing indicates an average annual return of about 181%. It performs best in the crypto market.
Signals trigger when Bollinger confirms breakout opportunities on intraday (5m) data. This makes the method suitable for active traders.
Stops rely on ATR multiples and factors like BollingerPeriod, BollingerDeviation. Adjust these defaults to balance risk and reward.
Details
- Entry Criteria: see implementation for indicator conditions.
- Long/Short: Both directions.
- Exit Criteria: opposite signal or stop logic.
- Stops: Yes, using indicator-based calculations.
- Default Values:
BollingerPeriod = 20BollingerDeviation = 2.0mAtrPeriod = 14AtrDeviationMultiplier = 2.0mStopLossMultiplier = 2.0mCandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Bollinger
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday (5m)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Breakout strategy that trades Bollinger band breaks only when ATR expands beyond its recent regime.
/// </summary>
public class BollingerVolatilityBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrDeviationMultiplier;
private readonly StrategyParam<decimal> _stopLossMultiplier;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private BollingerBands _bollingerBands;
private AverageTrueRange _atr;
private SimpleMovingAverage _atrSma;
private StandardDeviation _atrStdDev;
private decimal _entryPrice;
private decimal _entryAtr;
private int _cooldown;
/// <summary>
/// Period for Bollinger bands calculation.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for Bollinger bands.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Period for ATR calculation.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR standard deviation multiplier used for volatility confirmation.
/// </summary>
public decimal AtrDeviationMultiplier
{
get => _atrDeviationMultiplier.Value;
set => _atrDeviationMultiplier.Value = value;
}
/// <summary>
/// ATR multiplier used for stop distance.
/// </summary>
public decimal StopLossMultiplier
{
get => _stopLossMultiplier.Value;
set => _stopLossMultiplier.Value = value;
}
/// <summary>
/// Bars to wait after each order.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public BollingerVolatilityBreakoutStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetRange(5, 100)
.SetDisplay("Bollinger Period", "Period for Bollinger band calculation", "Indicators");
_bollingerDeviation = Param(nameof(BollingerDeviation), 2m)
.SetRange(0.5m, 5m)
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier for Bollinger bands", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetRange(5, 50)
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators");
_atrDeviationMultiplier = Param(nameof(AtrDeviationMultiplier), 1.6m)
.SetRange(0.1m, 5m)
.SetDisplay("ATR Deviation Multiplier", "ATR regime threshold multiplier", "Signals");
_stopLossMultiplier = Param(nameof(StopLossMultiplier), 1.8m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss Multiplier", "ATR multiplier used for stop distance", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 84)
.SetRange(1, 500)
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for the strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security != null)
yield return (Security, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_bollingerBands = null;
_atr = null;
_atrSma = null;
_atrStdDev = null;
_entryPrice = 0m;
_entryAtr = 0m;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Security == null)
throw new InvalidOperationException("Security is not specified.");
_bollingerBands = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation,
};
_atr = new AverageTrueRange { Length = AtrPeriod };
_atrSma = new SimpleMovingAverage { Length = AtrPeriod };
_atrStdDev = new StandardDeviation { Length = AtrPeriod };
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_bollingerBands, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _bollingerBands);
DrawIndicator(area, _atr);
DrawOwnTrades(area);
}
StartProtection(new Unit(0, UnitTypes.Absolute), new Unit(StopLossMultiplier, UnitTypes.Percent), false);
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue)
{
if (candle.State != CandleStates.Finished)
return;
var typedBands = (BollingerBandsValue)bollingerValue;
if (typedBands.UpBand is not decimal upperBand ||
typedBands.LowBand is not decimal lowerBand ||
typedBands.MovingAverage is not decimal middleBand)
return;
var atrValue = _atr.Process(candle).ToDecimal();
var atrAverageValue = _atrSma.Process(atrValue, candle.OpenTime, true).ToDecimal();
var atrStdDevValue = _atrStdDev.Process(atrValue, candle.OpenTime, true).ToDecimal();
if (!_bollingerBands.IsFormed || !_atr.IsFormed || !_atrSma.IsFormed || !_atrStdDev.IsFormed)
return;
if (ProcessState != ProcessStates.Started)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var volatilityThreshold = atrAverageValue + AtrDeviationMultiplier * atrStdDevValue;
var isHighVolatility = atrValue >= volatilityThreshold;
var price = candle.ClosePrice;
if (Position == 0)
{
if (!isHighVolatility)
return;
if (price >= upperBand)
{
_entryPrice = price;
_entryAtr = atrValue;
BuyMarket();
_cooldown = CooldownBars;
}
else if (price <= lowerBand)
{
_entryPrice = price;
_entryAtr = atrValue;
SellMarket();
_cooldown = CooldownBars;
}
return;
}
var stopDistance = _entryAtr * StopLossMultiplier;
if (Position > 0)
{
if (price <= middleBand || !isHighVolatility || price <= _entryPrice - stopDistance)
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
if (price >= middleBand || !isHighVolatility || price >= _entryPrice + stopDistance)
{
BuyMarket(Math.Abs(Position));
_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, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import BollingerBands, AverageTrueRange, SimpleMovingAverage, StandardDeviation, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class bollinger_volatility_breakout_strategy(Strategy):
"""
Breakout strategy that trades Bollinger band breaks only when ATR expands
beyond its recent regime.
"""
def __init__(self):
super(bollinger_volatility_breakout_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20) \
.SetDisplay("Bollinger Period", "Period for Bollinger band calculation", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0) \
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier for Bollinger bands", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators")
self._atr_deviation_multiplier = self.Param("AtrDeviationMultiplier", 1.6) \
.SetDisplay("ATR Deviation Multiplier", "ATR regime threshold multiplier", "Signals")
self._stop_loss_multiplier = self.Param("StopLossMultiplier", 1.8) \
.SetDisplay("Stop Loss Multiplier", "ATR multiplier used for stop distance", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 84) \
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles for the strategy", "General")
self._bollinger_bands = None
self._atr = None
self._atr_sma = None
self._atr_std_dev = None
self._entry_price = 0.0
self._entry_atr = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_volatility_breakout_strategy, self).OnReseted()
self._bollinger_bands = None
self._atr = None
self._atr_sma = None
self._atr_std_dev = None
self._entry_price = 0.0
self._entry_atr = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(bollinger_volatility_breakout_strategy, self).OnStarted2(time)
atr_period = int(self._atr_period.Value)
self._bollinger_bands = BollingerBands()
self._bollinger_bands.Length = int(self._bollinger_period.Value)
self._bollinger_bands.Width = Decimal(self._bollinger_deviation.Value)
self._atr = AverageTrueRange()
self._atr.Length = atr_period
self._atr_sma = SimpleMovingAverage()
self._atr_sma.Length = atr_period
self._atr_std_dev = StandardDeviation()
self._atr_std_dev.Length = atr_period
self._cooldown = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._bollinger_bands, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._bollinger_bands)
self.DrawIndicator(area, self._atr)
self.DrawOwnTrades(area)
self.StartProtection(Unit(0, UnitTypes.Absolute), Unit(self._stop_loss_multiplier.Value, UnitTypes.Percent), False)
def _process_candle(self, candle, bollinger_value):
if candle.State != CandleStates.Finished:
return
up_band = bollinger_value.UpBand
low_band = bollinger_value.LowBand
moving_avg = bollinger_value.MovingAverage
if up_band is None or low_band is None or moving_avg is None:
return
upper_band = float(up_band)
lower_band = float(low_band)
middle_band = float(moving_avg)
atr_result = self._atr.Process(CandleIndicatorValue(self._atr, candle))
atr_value = float(atr_result)
atr_average_value = float(process_float(self._atr_sma, Decimal(atr_value), candle.OpenTime, True))
atr_std_dev_value = float(process_float(self._atr_std_dev, Decimal(atr_value), candle.OpenTime, True))
if not self._bollinger_bands.IsFormed or not self._atr.IsFormed or not self._atr_sma.IsFormed or not self._atr_std_dev.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown > 0:
self._cooldown -= 1
return
adm = float(self._atr_deviation_multiplier.Value)
volatility_threshold = atr_average_value + adm * atr_std_dev_value
is_high_volatility = atr_value >= volatility_threshold
price = float(candle.ClosePrice)
cd = int(self._cooldown_bars.Value)
slm = float(self._stop_loss_multiplier.Value)
if self.Position == 0:
if not is_high_volatility:
return
if price >= upper_band:
self._entry_price = price
self._entry_atr = atr_value
self.BuyMarket()
self._cooldown = cd
elif price <= lower_band:
self._entry_price = price
self._entry_atr = atr_value
self.SellMarket()
self._cooldown = cd
return
stop_distance = self._entry_atr * slm
if self.Position > 0:
if price <= middle_band or not is_high_volatility or price <= self._entry_price - stop_distance:
self.SellMarket(Math.Abs(self.Position))
self._cooldown = cd
elif self.Position < 0:
if price >= middle_band or not is_high_volatility or price >= self._entry_price + stop_distance:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown = cd
def CreateClone(self):
return bollinger_volatility_breakout_strategy()