Estratégia que coloca ordens limite de compra na banda inferior das Bollinger Bands e ordens limite de venda na banda superior. As posições são fechadas quando o preço toca a banda média. As ordens pendentes são atualizadas no início de cada vela.
Detalhes
Critérios de entrada:
Comprado: compra limite na banda inferior das Bollinger Bands
Vendido: venda limite na banda superior das Bollinger Bands
Comprado/Vendido: Ambos
Critérios de saída:
Comprado: o preço cruza acima da banda média das Bollinger Bands
Vendido: o preço cruza abaixo da banda média das Bollinger Bands
Stops: Nenhum
Valores padrão:
BbPeriod = 20
BbDeviation = 2m
CandleType = TimeSpan.FromMinutes(15).TimeFrame()
Filtros:
Categoria: Reversão à média
Direção: Ambos
Indicadores: Bollinger Bands
Stops: Não
Complexidade: Básico
Período: Curto prazo
Sazonalidade: Não
Redes neurais: Não
Divergência: Não
Nível de risco: Médio
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>
/// Bollinger Bands mean reversion strategy.
/// Buys when price touches lower band, sells when price touches upper band.
/// Closes at middle band.
/// </summary>
public class BollingerBandsAutomatedStrategy : Strategy
{
private readonly StrategyParam<int> _bbPeriod;
private readonly StrategyParam<decimal> _bbDeviation;
private readonly StrategyParam<DataType> _candleType;
public int BbPeriod { get => _bbPeriod.Value; set => _bbPeriod.Value = value; }
public decimal BbDeviation { get => _bbDeviation.Value; set => _bbDeviation.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BollingerBandsAutomatedStrategy()
{
_bbPeriod = Param(nameof(BbPeriod), 20)
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators")
.SetGreaterThanZero();
_bbDeviation = Param(nameof(BbDeviation), 2m)
.SetDisplay("BB Deviation", "Bollinger Bands deviation", "Indicators")
.SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bb = new BollingerBands
{
Length = BbPeriod,
Width = BbDeviation
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bb, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bb);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bbValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var bb = bbValue as BollingerBandsValue;
if (bb?.UpBand is not decimal upper || bb?.LowBand is not decimal lower)
return;
var middle = (upper + lower) / 2m;
var close = candle.ClosePrice;
// Close long at middle band
if (Position > 0 && close >= middle)
SellMarket();
// Close short at middle band
else if (Position < 0 && close <= middle)
BuyMarket();
// Open new positions at band extremes
if (close <= lower && Position <= 0)
BuyMarket();
else if (close >= upper && Position >= 0)
SellMarket();
}
}
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_bands_automated_strategy(Strategy):
def __init__(self):
super(bollinger_bands_automated_strategy, self).__init__()
self._bb_period = self.Param("BbPeriod", 20) \
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators")
self._bb_deviation = self.Param("BbDeviation", 2.0) \
.SetDisplay("BB Deviation", "Bollinger Bands deviation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
@property
def bb_period(self):
return self._bb_period.Value
@property
def bb_deviation(self):
return self._bb_deviation.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(bollinger_bands_automated_strategy, self).OnStarted2(time)
bb = BollingerBands()
bb.Length = self.bb_period
bb.Width = self.bb_deviation
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
upper = bb_value.UpBand
lower = bb_value.LowBand
if upper is None or lower is None:
return
upper = float(upper)
lower = float(lower)
middle = (upper + lower) / 2.0
close = float(candle.ClosePrice)
if self.Position > 0 and close >= middle:
self.SellMarket()
elif self.Position < 0 and close <= middle:
self.BuyMarket()
if close <= lower and self.Position <= 0:
self.BuyMarket()
elif close >= upper and self.Position >= 0:
self.SellMarket()
def CreateClone(self):
return bollinger_bands_automated_strategy()