MACD Bollinger Strategy
This strategy uses MACD Bollinger indicators to generate signals. Long entry occurs when MACD > Signal && Price < BB_lower (trend up with oversold conditions). Short entry occurs when MACD < Signal && Price > BB_upper (trend down with overbought conditions). It is suitable for traders seeking opportunities in mixed markets.
Testing indicates an average annual return of about 55%. It performs best in the stocks market.
Details
- Entry Criteria:
- Long: MACD > Signal && Price < BB_lower (trend up with oversold conditions)
- Short: MACD < Signal && Price > BB_upper (trend down with overbought conditions)
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit long position when price returns to middle band
- Short: Exit short position when price returns to middle band
- Stops: Yes.
- Default Values:
MacdFast= 12MacdSlow= 26MacdSignal= 9BollingerPeriod= 20BollingerDeviation= 2.0mAtrPeriod= 14AtrMultiplier= 2mCandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Mixed
- Direction: Both
- Indicators: MACD Bollinger
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on MACD and Bollinger Bands indicators
/// </summary>
public class MacdBollingerStrategy : Strategy
{
private readonly StrategyParam<int> _macdFast;
private readonly StrategyParam<int> _macdSlow;
private readonly StrategyParam<int> _macdSignal;
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private int _cooldown;
/// <summary>
/// MACD fast EMA period
/// </summary>
public int MacdFast
{
get => _macdFast.Value;
set => _macdFast.Value = value;
}
/// <summary>
/// MACD slow EMA period
/// </summary>
public int MacdSlow
{
get => _macdSlow.Value;
set => _macdSlow.Value = value;
}
/// <summary>
/// MACD signal line period
/// </summary>
public int MacdSignal
{
get => _macdSignal.Value;
set => _macdSignal.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>
/// ATR period for stop-loss
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR multiplier for stop-loss
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// Bars to wait between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type for strategy
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor
/// </summary>
public MacdBollingerStrategy()
{
_macdFast = Param(nameof(MacdFast), 12)
.SetRange(5, 20)
.SetDisplay("MACD Fast", "MACD fast EMA period", "MACD")
;
_macdSlow = Param(nameof(MacdSlow), 26)
.SetRange(15, 40)
.SetDisplay("MACD Slow", "MACD slow EMA period", "MACD")
;
_macdSignal = Param(nameof(MacdSignal), 9)
.SetRange(5, 15)
.SetDisplay("MACD Signal", "MACD signal line period", "MACD")
;
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetRange(10, 50)
.SetDisplay("Bollinger Period", "Bollinger Bands period", "Bollinger")
;
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetRange(1.0m, 3.0m)
.SetDisplay("Bollinger Deviation", "Bollinger Bands standard deviation multiplier", "Bollinger")
;
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetRange(7, 28)
.SetDisplay("ATR Period", "ATR period for stop-loss calculation", "Risk Management")
;
_atrMultiplier = Param(nameof(AtrMultiplier), 2m)
.SetRange(1m, 4m)
.SetDisplay("ATR Multiplier", "Multiplier for ATR-based stop-loss", "Risk Management")
;
_cooldownBars = Param(nameof(CooldownBars), 100)
.SetRange(1, 200)
.SetDisplay("Cooldown Bars", "Bars between entries", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Initialize indicators
var macd = new MovingAverageConvergenceDivergenceSignal
{
Macd =
{
LongMa = { Length = MacdSlow },
ShortMa = { Length = MacdFast },
},
SignalMa = { Length = MacdSignal }
};
var bollinger = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation
};
var atr = new AverageTrueRange { Length = AtrPeriod };
// Create subscription and bind indicators
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bollinger, macd, atr, ProcessIndicators)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollinger);
DrawIndicator(area, macd);
DrawOwnTrades(area);
}
}
private void ProcessIndicators(ICandleMessage candle, IIndicatorValue bollingerValue, IIndicatorValue macdValue, IIndicatorValue atrValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
var bollingerTyped = (BollingerBandsValue)bollingerValue;
var upperBand = bollingerTyped.UpBand;
var lowerBand = bollingerTyped.LowBand;
var middleBand = bollingerTyped.MovingAverage;
var macdTyped = (MovingAverageConvergenceDivergenceSignalValue)macdValue;
var macd = macdTyped.Macd ?? 0m;
var signal = macdTyped.Signal ?? 0m;
var price = candle.ClosePrice;
// Trading logic:
// Long: MACD > Signal && Price < BB_lower (trend up with oversold conditions)
// Short: MACD < Signal && Price > BB_upper (trend down with overbought conditions)
var macdCrossOver = macd > signal;
if (_cooldown > 0)
_cooldown--;
if (_cooldown == 0 && macdCrossOver && price < middleBand * 0.999m && Position <= 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (_cooldown == 0 && !macdCrossOver && price > middleBand * 1.001m && Position >= 0)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit conditions
else if (Position > 0 && !macdCrossOver)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && macdCrossOver)
{
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 MovingAverageConvergenceDivergenceSignal, BollingerBands, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class macd_bollinger_strategy(Strategy):
"""
Strategy based on MACD and Bollinger Bands indicators.
"""
def __init__(self):
super(macd_bollinger_strategy, self).__init__()
self._macd_fast = self.Param("MacdFast", 12).SetDisplay("MACD Fast", "MACD fast EMA period", "MACD")
self._macd_slow = self.Param("MacdSlow", 26).SetDisplay("MACD Slow", "MACD slow EMA period", "MACD")
self._macd_signal = self.Param("MacdSignal", 9).SetDisplay("MACD Signal", "MACD signal line period", "MACD")
self._bollinger_period = self.Param("BollingerPeriod", 20).SetDisplay("Bollinger Period", "Bollinger Bands period", "Bollinger")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0).SetDisplay("Bollinger Deviation", "Bollinger Bands stddev multiplier", "Bollinger")
self._cooldown_bars = self.Param("CooldownBars", 100).SetDisplay("Cooldown Bars", "Bars between entries", "General")
self._candle_type = self.Param("CandleType", tf(5)).SetDisplay("Candle Type", "Timeframe", "General")
self._cooldown = 0
@property
def CandleType(self):
return self._candle_type.Value
def OnReseted(self):
super(macd_bollinger_strategy, self).OnReseted()
self._cooldown = 0
def OnStarted2(self, time):
super(macd_bollinger_strategy, self).OnStarted2(time)
self._cooldown = 0
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.LongMa.Length = self._macd_slow.Value
macd.Macd.ShortMa.Length = self._macd_fast.Value
macd.SignalMa.Length = self._macd_signal.Value
bollinger = BollingerBands()
bollinger.Length = self._bollinger_period.Value
bollinger.Width = self._bollinger_deviation.Value
atr = AverageTrueRange()
atr.Length = 14
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(bollinger, macd, atr, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
self.DrawIndicator(area, macd)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, bollinger_value, macd_value, atr_value):
if candle.State != CandleStates.Finished:
return
middle_band = bollinger_value.MovingAverage
if middle_band is None:
middle_band = 0.0
else:
middle_band = float(middle_band)
macd_line = macd_value.Macd
signal_line = macd_value.Signal
macd_val = float(macd_line) if macd_line is not None else 0.0
signal_val = float(signal_line) if signal_line is not None else 0.0
price = float(candle.ClosePrice)
macd_cross_over = macd_val > signal_val
if self._cooldown > 0:
self._cooldown -= 1
cooldown_val = int(self._cooldown_bars.Value)
if self._cooldown == 0 and macd_cross_over and price < middle_band * 0.999 and self.Position <= 0:
self.BuyMarket()
self._cooldown = cooldown_val
elif self._cooldown == 0 and not macd_cross_over and price > middle_band * 1.001 and self.Position >= 0:
self.SellMarket()
self._cooldown = cooldown_val
elif self.Position > 0 and not macd_cross_over:
self.SellMarket()
self._cooldown = cooldown_val
elif self.Position < 0 and macd_cross_over:
self.BuyMarket()
self._cooldown = cooldown_val
def CreateClone(self):
return macd_bollinger_strategy()