Стратегия Keltner Channel
Стратегия торгует пробои полос Keltner и пересечения EMA по тренду.
Детали
- Условия входа:
- Лонг: цена пересекает нижнюю полосу Keltner снизу вверх или EMA9 пересекает EMA21 вверх при цене выше EMA50.
- Шорт: цена пересекает верхнюю полосу Keltner сверху вниз или EMA9 пересекает EMA21 вниз при цене ниже EMA50.
- Лонг/Шорт: Оба направления.
- Условия выхода:
- Цена пересекает среднюю линию в противоположную сторону или EMA пересекаются обратно.
- Стоп-лосс на уровне 1.5 ATR.
- Тейк-профит на уровне 3 ATR.
- Стопы: Да.
- Значения по умолчанию:
Length= 20Multiplier= 1.5AtrMultiplier= 1.5FastEmaPeriod= 9SlowEmaPeriod= 21TrendEmaPeriod= 50CandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Фильтры:
- Категория: Канал
- Направление: Оба
- Индикаторы: EMA, ATR, Keltner
- Стопы: Да
- Сложность: Базовая
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Риск: 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>
/// Keltner Channel breakout and EMA trend strategy.
/// </summary>
public class KeltnerChannelStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<int> _trendEmaPeriod;
private readonly StrategyParam<int> _maxEntries;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevClose;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _stopPrice;
private decimal _takePrice;
private int _entriesExecuted;
private int _barsSinceSignal;
/// <summary>
/// EMA period for Keltner Channels.
/// </summary>
public int Length
{
get => _length.Value;
set => _length.Value = value;
}
/// <summary>
/// ATR multiplier for channel width.
/// </summary>
public decimal Multiplier
{
get => _multiplier.Value;
set => _multiplier.Value = value;
}
/// <summary>
/// ATR multiplier for stops.
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastEmaPeriod
{
get => _fastEmaPeriod.Value;
set => _fastEmaPeriod.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowEmaPeriod
{
get => _slowEmaPeriod.Value;
set => _slowEmaPeriod.Value = value;
}
/// <summary>
/// Trend filter EMA period.
/// </summary>
public int TrendEmaPeriod
{
get => _trendEmaPeriod.Value;
set => _trendEmaPeriod.Value = value;
}
/// <summary>
/// Maximum entries per run.
/// </summary>
public int MaxEntries
{
get => _maxEntries.Value;
set => _maxEntries.Value = value;
}
/// <summary>
/// Minimum bars between orders.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type for strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="KeltnerChannelStrategy"/>.
/// </summary>
public KeltnerChannelStrategy()
{
_length = Param(nameof(Length), 20)
.SetRange(5, 100)
.SetDisplay("Length", "EMA period for Keltner channels", "Keltner");
_multiplier = Param(nameof(Multiplier), 1.5m)
.SetRange(0.5m, 5m)
.SetDisplay("Multiplier", "ATR multiplier for channel", "Keltner");
_atrMultiplier = Param(nameof(AtrMultiplier), 1.5m)
.SetRange(0.5m, 5m)
.SetDisplay("ATR Multiplier", "ATR multiplier for stops", "Risk Management");
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 9)
.SetRange(2, 50)
.SetDisplay("Fast EMA", "Fast EMA period", "Trend");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 21)
.SetRange(5, 100)
.SetDisplay("Slow EMA", "Slow EMA period", "Trend");
_trendEmaPeriod = Param(nameof(TrendEmaPeriod), 50)
.SetRange(10, 200)
.SetDisplay("Trend EMA", "Trend filter EMA period", "Trend");
_maxEntries = Param(nameof(MaxEntries), 45)
.SetRange(1, 200)
.SetDisplay("Max Entries", "Maximum entries per run", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 1000)
.SetRange(1, 200000)
.SetDisplay("Cooldown Bars", "Minimum bars between orders", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0m;
_prevFast = 0m;
_prevSlow = 0m;
_stopPrice = 0m;
_takePrice = 0m;
_entriesExecuted = 0;
_barsSinceSignal = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_entriesExecuted = 0;
_barsSinceSignal = CooldownBars;
var kc = new KeltnerChannels
{
Length = Length,
Multiplier = Multiplier
};
var emaFast = new ExponentialMovingAverage { Length = FastEmaPeriod };
var emaSlow = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var emaTrend = new ExponentialMovingAverage { Length = TrendEmaPeriod };
var atr = new AverageTrueRange { Length = Length };
var sub = SubscribeCandles(CandleType);
sub.BindEx(kc, emaFast, emaSlow, emaTrend, atr, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, sub);
DrawIndicator(area, kc);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue kcValue, IIndicatorValue emaFastValue, IIndicatorValue emaSlowValue, IIndicatorValue emaTrendValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceSignal++;
var kcTyped = (KeltnerChannelsValue)kcValue;
if (kcTyped.Middle is not decimal middle || kcTyped.Upper is not decimal upper || kcTyped.Lower is not decimal lower)
return;
var emaFast = emaFastValue.ToDecimal();
var emaSlow = emaSlowValue.ToDecimal();
var emaTrend = emaTrendValue.ToDecimal();
var atr = atrValue.ToDecimal();
var price = candle.ClosePrice;
var crossUnderLower = _prevClose >= lower && price < lower;
var crossOverUpper = _prevClose <= upper && price > upper;
var crossOverEma = _prevFast <= _prevSlow && emaFast > emaSlow;
var crossUnderEma = _prevFast >= _prevSlow && emaFast < emaSlow;
var longEntryKC = crossUnderLower;
var shortEntryKC = crossOverUpper;
var longEntryTrend = crossOverEma && price > emaTrend;
var shortEntryTrend = crossUnderEma && price < emaTrend;
var exitLongKC = _prevClose <= middle && price > middle;
var exitShortKC = _prevClose >= middle && price < middle;
var exitLongTrend = crossUnderEma;
var exitShortTrend = crossOverEma;
var atrDistance = atr * AtrMultiplier;
if (_barsSinceSignal < CooldownBars)
{
_prevClose = price;
_prevFast = emaFast;
_prevSlow = emaSlow;
return;
}
if (Position <= 0 && _entriesExecuted < MaxEntries && (longEntryKC || longEntryTrend))
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_stopPrice = price - atrDistance;
_takePrice = price + 2m * atrDistance;
_entriesExecuted++;
_barsSinceSignal = 0;
}
else if (Position >= 0 && _entriesExecuted < MaxEntries && (shortEntryKC || shortEntryTrend))
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_stopPrice = price + atrDistance;
_takePrice = price - 2m * atrDistance;
_entriesExecuted++;
_barsSinceSignal = 0;
}
if (Position > 0)
{
if (exitLongKC || exitLongTrend || price <= _stopPrice || price >= _takePrice)
{
SellMarket(Math.Abs(Position));
_barsSinceSignal = 0;
}
}
else if (Position < 0)
{
if (exitShortKC || exitShortTrend || price >= _stopPrice || price <= _takePrice)
{
BuyMarket(Math.Abs(Position));
_barsSinceSignal = 0;
}
}
_prevClose = price;
_prevFast = emaFast;
_prevSlow = emaSlow;
}
}
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, ExponentialMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class keltner_channel_strategy(Strategy):
def __init__(self):
super(keltner_channel_strategy, self).__init__()
self._length = self.Param("Length", 20) \
.SetDisplay("Length", "EMA period for Keltner channels", "Keltner")
self._multiplier = self.Param("Multiplier", 1.5) \
.SetDisplay("Multiplier", "ATR multiplier for channel", "Keltner")
self._atr_multiplier = self.Param("AtrMultiplier", 1.5) \
.SetDisplay("ATR Multiplier", "ATR multiplier for stops", "Risk Management")
self._fast_ema_period = self.Param("FastEmaPeriod", 9) \
.SetDisplay("Fast EMA", "Fast EMA period", "Trend")
self._slow_ema_period = self.Param("SlowEmaPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Trend")
self._trend_ema_period = self.Param("TrendEmaPeriod", 50) \
.SetDisplay("Trend EMA", "Trend filter EMA period", "Trend")
self._max_entries = self.Param("MaxEntries", 45) \
.SetDisplay("Max Entries", "Maximum entries per run", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 1000) \
.SetDisplay("Cooldown Bars", "Minimum bars between orders", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_close = 0.0
self._prev_fast = 0.0
self._prev_slow = 0.0
self._stop_price = 0.0
self._take_price = 0.0
self._entries_executed = 0
self._bars_since_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(keltner_channel_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_fast = 0.0
self._prev_slow = 0.0
self._stop_price = 0.0
self._take_price = 0.0
self._entries_executed = 0
self._bars_since_signal = 0
def OnStarted2(self, time):
super(keltner_channel_strategy, self).OnStarted2(time)
self._entries_executed = 0
self._bars_since_signal = self._cooldown_bars.Value
kc = KeltnerChannels()
kc.Length = self._length.Value
kc.Multiplier = self._multiplier.Value
ema_fast = ExponentialMovingAverage()
ema_fast.Length = self._fast_ema_period.Value
ema_slow = ExponentialMovingAverage()
ema_slow.Length = self._slow_ema_period.Value
ema_trend = ExponentialMovingAverage()
ema_trend.Length = self._trend_ema_period.Value
atr = AverageTrueRange()
atr.Length = self._length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(kc, ema_fast, ema_slow, ema_trend, atr, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, kc)
self.DrawOwnTrades(area)
def OnProcess(self, candle, kc_value, ema_fast_value, ema_slow_value, ema_trend_value, atr_value):
if candle.State != CandleStates.Finished:
return
self._bars_since_signal += 1
upper = kc_value.Upper
lower = kc_value.Lower
middle = kc_value.Middle
if upper is None or lower is None or middle is None:
return
upper = float(upper)
lower = float(lower)
middle = float(middle)
ema_fast = float(ema_fast_value)
ema_slow = float(ema_slow_value)
ema_trend = float(ema_trend_value)
atr_v = float(atr_value)
price = float(candle.ClosePrice)
atr_mult = float(self._atr_multiplier.Value)
cross_under_lower = self._prev_close >= lower and price < lower
cross_over_upper = self._prev_close <= upper and price > upper
cross_over_ema = self._prev_fast <= self._prev_slow and ema_fast > ema_slow
cross_under_ema = self._prev_fast >= self._prev_slow and ema_fast < ema_slow
long_entry_kc = cross_under_lower
short_entry_kc = cross_over_upper
long_entry_trend = cross_over_ema and price > ema_trend
short_entry_trend = cross_under_ema and price < ema_trend
exit_long_kc = self._prev_close <= middle and price > middle
exit_short_kc = self._prev_close >= middle and price < middle
exit_long_trend = cross_under_ema
exit_short_trend = cross_over_ema
atr_distance = atr_v * atr_mult
if self._bars_since_signal < self._cooldown_bars.Value:
self._prev_close = price
self._prev_fast = ema_fast
self._prev_slow = ema_slow
return
if self.Position <= 0 and self._entries_executed < self._max_entries.Value and (long_entry_kc or long_entry_trend):
self.BuyMarket()
self._stop_price = price - atr_distance
self._take_price = price + 2.0 * atr_distance
self._entries_executed += 1
self._bars_since_signal = 0
elif self.Position >= 0 and self._entries_executed < self._max_entries.Value and (short_entry_kc or short_entry_trend):
self.SellMarket()
self._stop_price = price + atr_distance
self._take_price = price - 2.0 * atr_distance
self._entries_executed += 1
self._bars_since_signal = 0
if self.Position > 0:
if exit_long_kc or exit_long_trend or price <= self._stop_price or price >= self._take_price:
self.SellMarket()
self._bars_since_signal = 0
elif self.Position < 0:
if exit_short_kc or exit_short_trend or price >= self._stop_price or price <= self._take_price:
self.BuyMarket()
self._bars_since_signal = 0
self._prev_close = price
self._prev_fast = ema_fast
self._prev_slow = ema_slow
def CreateClone(self):
return keltner_channel_strategy()