Extremos de preço fora das Bandas de Bollinger frequentemente voltam em direção à banda do meio. Esta abordagem vai contra essas extensões, comprando quedas abaixo da banda inferior quando a vela fecha verde e vendendo rompimentos acima da banda superior após uma vela vermelha.
Os testes indicam um retorno anual médio de aproximadamente 94%. Tem melhor desempenho no mercado de ações.
O algoritmo calcula as Bandas de Bollinger em cada barra e verifica se o fechamento rompe a banda externa. Se uma vela altista fecha abaixo da banda inferior, um comprado é aberto; se uma vela baixista fecha acima da banda superior, um vendido é tomado. O stop baseia-se em um múltiplo de ATR enquanto as saídas ocorrem quando o preço retorna à banda do meio.
Operações de reversão à média normalmente duram apenas algumas barras, tornando esta configuração adequada para contrações de volatilidade de curto prazo.
Detalhes
Critérios de entrada: Fechamento abaixo da banda inferior com vela altista ou fechamento acima da banda superior com vela baixista.
Comprado/Vendido: Ambos.
Critérios de saída: Preço cruzando a banda do meio ou stop-loss.
Stops: Sim, baseado em ATR.
Valores padrão:
BollingerPeriod = 20
BollingerDeviation = 2.0
AtrMultiplier = 2.0
CandleType = 5 minute
Filtros:
Categoria: Reversão à média
Direção: Ambos
Indicadores: Bollinger Bands, ATR
Stops: Sim
Complexidade: Básico
Período: Intradiário
Sazonalidade: Não
Redes neurais: Não
Divergência: Não
Nível de risco: Médio
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()