Прорыв канала Келтнера
Стратегия основана на прорыве канала Келтнера.
Тестирование показывает среднегодичную доходность около 58%. Стратегию лучше запускать на фондовом рынке.
Каналы строятся с использованием ATR. Прорыв выше верхней полосы или ниже нижней вызывает вход. Выход происходит, когда цена возвращается через EMA в центре канала или срабатывает стоп.
Так как полосы расширяются и сужаются в зависимости от волатильности, метод позволяет поймать ранние стадии сильного движения, оставляя цене пространство внутри канала.
Детали
- Критерии входа: сигналы на основе ATR, Keltner.
- Длинные/короткие: оба направления.
- Критерии выхода: противоположный сигнал или стоп.
- Стопы: да.
- Значения по умолчанию:
EmaPeriod= 20AtrPeriod= 14AtrMultiplier= 2mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Прорыв
- Направление: Оба
- Индикаторы: ATR, Keltner
- Стопы: Да
- Сложность: Базовая
- Таймфрейм: Внутридневной (5m)
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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 Keltner Channel breakout.
/// It enters long position when price breaks through the upper band and short position when price breaks through the lower band.
/// </summary>
public class KeltnerChannelBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<DataType> _candleType;
// Current state
private decimal _prevClosePrice;
private decimal _prevUpperBand;
private decimal _prevLowerBand;
private decimal _prevEma;
/// <summary>
/// Period for EMA calculation.
/// </summary>
public int EmaPeriod
{
get => _emaPeriod.Value;
set => _emaPeriod.Value = value;
}
/// <summary>
/// Period for ATR calculation.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Multiplier for ATR to determine channel width.
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize the Keltner Channel Breakout strategy.
/// </summary>
public KeltnerChannelBreakoutStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 500)
.SetDisplay("EMA Period", "Period for Exponential Moving Average", "Indicators")
.SetOptimize(10, 50, 5);
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetDisplay("ATR Period", "Period for Average True Range", "Indicators")
.SetOptimize(10, 30, 2);
_atrMultiplier = Param(nameof(AtrMultiplier), 10m)
.SetDisplay("ATR Multiplier", "Multiplier for ATR to determine channel width", "Indicators")
.SetOptimize(1, 3, 0.5m);
_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();
_prevClosePrice = default;
_prevUpperBand = default;
_prevLowerBand = default;
_prevEma = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicators
var keltnerChannel = new KeltnerChannels
{
Length = EmaPeriod,
Multiplier = AtrMultiplier
};
// Create subscription and bind indicators
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(keltnerChannel, ProcessCandle)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, keltnerChannel);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue keltnerValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
var keltnerTyped = (KeltnerChannelsValue)keltnerValue;
if (keltnerTyped.Upper is not decimal upperValue)
return;
if (keltnerTyped.Lower is not decimal lowerValue)
return;
if (keltnerTyped.Middle is not decimal middleValue)
return;
// Skip the first received value for proper comparison
if (_prevUpperBand == 0)
{
_prevClosePrice = candle.ClosePrice;
_prevUpperBand = upperValue;
_prevLowerBand = lowerValue;
_prevEma = middleValue;
return;
}
// Check for breakouts
var isUpperBreakout = candle.ClosePrice > _prevUpperBand && _prevClosePrice <= _prevUpperBand;
var isLowerBreakout = candle.ClosePrice < _prevLowerBand && _prevClosePrice >= _prevLowerBand;
// Entry logic - breakout reversal only
if (isUpperBreakout && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
}
else if (isLowerBreakout && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
}
// Update previous values
_prevClosePrice = candle.ClosePrice;
_prevUpperBand = upperValue;
_prevLowerBand = lowerValue;
_prevEma = middleValue;
}
}
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 KeltnerChannels
from StockSharp.Algo.Strategies import Strategy
class keltner_channel_breakout_strategy(Strategy):
"""
Strategy based on Keltner Channel breakout.
Enters long when price breaks above upper band, short when price breaks below lower band.
"""
def __init__(self):
super(keltner_channel_breakout_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 500).SetDisplay("EMA Period", "Period for Exponential Moving Average", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14).SetDisplay("ATR Period", "Period for Average True Range", "Indicators")
self._atr_multiplier = self.Param("AtrMultiplier", 10.0).SetDisplay("ATR Multiplier", "Multiplier for ATR to determine channel width", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_close_price = 0.0
self._prev_upper_band = 0.0
self._prev_lower_band = 0.0
self._prev_ema = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(keltner_channel_breakout_strategy, self).OnReseted()
self._prev_close_price = 0.0
self._prev_upper_band = 0.0
self._prev_lower_band = 0.0
self._prev_ema = 0.0
def OnStarted2(self, time):
super(keltner_channel_breakout_strategy, self).OnStarted2(time)
keltner = KeltnerChannels()
keltner.Length = self._ema_period.Value
keltner.Multiplier = self._atr_multiplier.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(keltner, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, keltner)
self.DrawOwnTrades(area)
def _process_candle(self, candle, keltner_val):
if candle.State != CandleStates.Finished:
return
if keltner_val.Upper is None or keltner_val.Lower is None or keltner_val.Middle is None:
return
upper = float(keltner_val.Upper)
lower = float(keltner_val.Lower)
middle = float(keltner_val.Middle)
if self._prev_upper_band == 0:
self._prev_close_price = float(candle.ClosePrice)
self._prev_upper_band = upper
self._prev_lower_band = lower
self._prev_ema = middle
return
close = float(candle.ClosePrice)
is_upper_breakout = close > self._prev_upper_band and self._prev_close_price <= self._prev_upper_band
is_lower_breakout = close < self._prev_lower_band and self._prev_close_price >= self._prev_lower_band
if is_upper_breakout and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif is_lower_breakout and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._prev_close_price = close
self._prev_upper_band = upper
self._prev_lower_band = lower
self._prev_ema = middle
def CreateClone(self):
return keltner_channel_breakout_strategy()