Strategy that captures reversals when price bounces off Bollinger Bands with MACD and volume confirmation. The system limits entries to five trades per day and applies fixed percent stop loss and take profit.
Details
Entry Criteria:
Long: Close[1] < LowerBand[1] && Close > LowerBand && MACD > Signal && Volume >= AvgVolume * VolumeFactor
Short: Close[1] > UpperBand[1] && Close < UpperBand && MACD < Signal && Volume >= AvgVolume * VolumeFactor
Long/Short: Both
Stops: Percent take profit and stop loss
Default Values:
BollingerPeriod = 20
BbStdDev = 2m
MacdFastLength = 12
MacdSlowLength = 26
MacdSignalLength = 9
VolumePeriod = 20
VolumeFactor = 1m
StopLossPercent = 2m
TakeProfitPercent = 4m
MaxTradesPerDay = 5
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
Filters:
Category: Reversal
Direction: Both
Indicators: Bollinger Bands, MACD, 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>
/// BollingerBounceReversalStrategy using EMA crossover for trend timing.
/// Enters long on golden cross, short on death cross.
/// </summary>
public class BollingerBounceReversalStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BollingerBounceReversalStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
{
BuyMarket();
}
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
{
SellMarket();
}
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class bollinger_bounce_reversal_strategy(Strategy):
def __init__(self):
super(bollinger_bounce_reversal_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 120) .SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 450) .SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) .SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def fast_ema_period(self):
return self._fast_ema_period.Value
@property
def slow_ema_period(self):
return self._slow_ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_bounce_reversal_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(bollinger_bounce_reversal_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_ema_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_ema_value, slow_ema_value):
if candle.State != CandleStates.Finished:
return
if self._prev_fast_ema == 0 or self._prev_slow_ema == 0:
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_ema_value > slow_ema_value and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_ema_value < slow_ema_value and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
def CreateClone(self):
return bollinger_bounce_reversal_strategy()