Возврат по индикатору Percent B
Этот подход торгует против экстремальных ценовых движений за пределами полос Боллинджера с использованием индикатора Percent B. Движения выше верхней полосы или ниже нижней указывают на перекупленность или перепроданность.
Тестирование показывает среднегодичную доходность около 142%. Стратегию лучше запускать на фондовом рынке.
Когда значение Percent B меньше нуля или больше единицы, система рассчитывает на возврат к средней полосе. Порог выхода закрывает сделки после нормализации импульса.
Стопы устанавливаются на фиксированном проценте от входа.
Подробности
- Условия входа: Percent B за пределами диапазона 0–1.
- Длинные/короткие позиции: обе стороны.
- Условия выхода: Percent B пересекает
ExitValueили стоп. - Стопы: да.
- Значения по умолчанию:
BollingerPeriod= 20BollingerDeviation= 2.0mExitValue= 0.5mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Mean Reversion
- Направление: обе стороны
- Индикаторы: полосы Боллинджера
- Стопы: да
- Сложность: базовая
- Таймфрейм: внутридневной
- Сезонность: нет
- Нейросети: нет
- Дивергенция: нет
- Уровень риска: средний
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 trades on Bollinger %B indicator.
/// Bollinger %B shows where price is relative to the Bollinger Bands.
/// Values below 0 or above 1 indicate price outside the bands.
/// </summary>
public class BollingerPercentBStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<decimal> _exitValue;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private int _cooldown;
/// <summary>
/// Period for Bollinger Bands calculation.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Deviation for Bollinger Bands calculation.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Exit threshold for %B.
/// </summary>
public decimal ExitValue
{
get => _exitValue.Value;
set => _exitValue.Value = value;
}
/// <summary>
/// Type of candles used for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize the Bollinger %B Reversion strategy.
/// </summary>
public BollingerPercentBStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetDisplay("Bollinger Period", "Period for Bollinger Bands calculation", "Indicators")
.SetOptimize(10, 30, 5);
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetDisplay("Bollinger Deviation", "Deviation for Bollinger Bands calculation", "Indicators")
.SetOptimize(1.5m, 2.5m, 0.25m);
_exitValue = Param(nameof(ExitValue), 0.5m)
.SetDisplay("Exit %B Value", "Exit threshold for %B", "Exit")
.SetOptimize(0.3m, 0.7m, 0.1m);
_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 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 (!bollingerValue.IsFormed)
return;
var bb = (BollingerBandsValue)bollingerValue;
if (bb.UpBand is not decimal upperBand ||
bb.LowBand is not decimal lowerBand)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Calculate Bollinger %B: (Price - Lower Band) / (Upper Band - Lower Band)
decimal percentB = 0;
if (upperBand != lowerBand)
percentB = (candle.ClosePrice - lowerBand) / (upperBand - lowerBand);
if (Position == 0)
{
if (percentB < 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (percentB > 1)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0)
{
if (percentB > ExitValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
if (percentB < ExitValue)
{
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_percent_b_strategy(Strategy):
"""
Bollinger %B strategy.
Buys when %B < 0 (below lower band), sells when %B > 1 (above upper band).
"""
def __init__(self):
super(bollinger_percent_b_strategy, self).__init__()
self._bb_period = self.Param("BollingerPeriod", 20).SetDisplay("Bollinger Period", "Period for Bollinger Bands calculation", "Indicators")
self._bb_deviation = self.Param("BollingerDeviation", 2.0).SetDisplay("Bollinger Deviation", "Deviation for Bollinger Bands calculation", "Indicators")
self._exit_value = self.Param("ExitValue", 0.5).SetDisplay("Exit %B Value", "Exit threshold for %B", "Exit")
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_percent_b_strategy, self).OnReseted()
self._cooldown = 0
def OnStarted2(self, time):
super(bollinger_percent_b_strategy, self).OnStarted2(time)
self._cooldown = 0
bb = BollingerBands()
bb.Length = self._bb_period.Value
bb.Width = self._bb_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_val):
if candle.State != CandleStates.Finished:
return
if not bb_val.IsFormed:
return
if bb_val.UpBand is None or bb_val.LowBand is None:
return
if self._cooldown > 0:
self._cooldown -= 1
return
upper = float(bb_val.UpBand)
lower = float(bb_val.LowBand)
close = float(candle.ClosePrice)
cd = self._cooldown_bars.Value
exit_v = float(self._exit_value.Value)
pct_b = 0.0
if upper != lower:
pct_b = (close - lower) / (upper - lower)
if self.Position == 0:
if pct_b < 0:
self.BuyMarket()
self._cooldown = cd
elif pct_b > 1:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0:
if pct_b > exit_v:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0:
if pct_b < exit_v:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return bollinger_percent_b_strategy()