Bollinger Volume Strategy
Strategy that uses Bollinger Bands breakouts with volume confirmation. Enters positions when price breaks above/below Bollinger Bands with increased volume.
Testing indicates an average annual return of about 178%. It performs best in the stocks market.
Bollinger bands show volatility expansion and volume confirms the breakout. Positions are taken when price closes outside a band with strong activity.
Suited for breakout players expecting continuation. A stop based on ATR keeps losses manageable.
Details
- Entry Criteria:
- Long:
Close > UpperBand && Volume > AvgVolume * VolumeMultiplier - Short:
Close < LowerBand && Volume > AvgVolume * VolumeMultiplier
- Long:
- Long/Short: Both
- Exit Criteria:
- Price returns to middle band
- Stops: ATR-based using
StopLossAtr - Default Values:
BollingerPeriod= 20BollingerDeviation= 2.0mVolumePeriod= 20VolumeMultiplier= 1.5mStopLossAtr= 2.0mAtrPeriod= 14CandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: Bollinger Bands, Volume
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
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 uses Bollinger Bands for mean reversion.
/// Enters when price touches/breaks bands, exits at middle band.
/// </summary>
public class BollingerVolumeStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _cooldownBars;
private int _cooldown;
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Bollinger Bands period.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Bollinger Bands standard deviation multiplier.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Strategy constructor.
/// </summary>
public BollingerVolumeStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetRange(10, 50)
.SetDisplay("Bollinger Period", "Period of the Bollinger Bands", "Indicators");
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 100)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(5, 500);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
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 (!IsFormedAndOnlineAndAllowTrading())
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 close = candle.ClosePrice;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Long: price below lower band (mean reversion buy)
if (close < lowerBand && Position == 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
// Short: price above upper band (mean reversion sell)
else if (close > upperBand && Position == 0)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit long: price returns to middle band
if (Position > 0 && close > middleBand)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit short: price returns to middle band
else if (Position < 0 && close < 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
from datatype_extensions import *
class bollinger_volume_strategy(Strategy):
"""
Strategy that uses Bollinger Bands for mean reversion.
Enters when price touches/breaks bands, exits at middle band.
"""
def __init__(self):
super(bollinger_volume_strategy, self).__init__()
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._bollinger_period = self.Param("BollingerPeriod", 20) \
.SetRange(10, 50) \
.SetDisplay("Bollinger Period", "Period of the Bollinger Bands", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0) \
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 100) \
.SetDisplay("Cooldown Bars", "Bars between trades", "General") \
.SetRange(5, 500)
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
@property
def bollinger_period(self):
return self._bollinger_period.Value
@property
def bollinger_deviation(self):
return self._bollinger_deviation.Value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
def OnStarted2(self, time):
super(bollinger_volume_strategy, self).OnStarted2(time)
self._cooldown = 0
bollinger = BollingerBands()
bollinger.Length = self.bollinger_period
bollinger.Width = self.bollinger_deviation
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bollinger, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, bb_value):
if candle.State != CandleStates.Finished:
return
if bb_value.UpBand is None or bb_value.LowBand is None or bb_value.MovingAverage is None:
return
upper_band = float(bb_value.UpBand)
lower_band = float(bb_value.LowBand)
middle_band = float(bb_value.MovingAverage)
close = float(candle.ClosePrice)
if self._cooldown > 0:
self._cooldown -= 1
return
# Long: price below lower band (mean reversion buy)
if close < lower_band and self.Position == 0:
self.BuyMarket()
self._cooldown = self.cooldown_bars
# Short: price above upper band (mean reversion sell)
elif close > upper_band and self.Position == 0:
self.SellMarket()
self._cooldown = self.cooldown_bars
# Exit long: price returns to middle band
if self.Position > 0 and close > middle_band:
self.SellMarket()
self._cooldown = self.cooldown_bars
# Exit short: price returns to middle band
elif self.Position < 0 and close < middle_band:
self.BuyMarket()
self._cooldown = self.cooldown_bars
def OnReseted(self):
super(bollinger_volume_strategy, self).OnReseted()
self._cooldown = 0
def CreateClone(self):
return bollinger_volume_strategy()