Estrategia Stochastic Keltner
Esta estrategia utiliza los indicadores Stochastic Keltner para generar señales. La entrada larga ocurre cuando Stoch %K < StochOversold && Price < Keltner lower band (sobrevendido en la banda inferior). La entrada corta ocurre cuando Stoch %K > StochOverbought && Price > Keltner upper band (sobrecomprado en la banda superior). Es adecuada para traders que buscan oportunidades en mercados mixtos.
Las pruebas indican un rendimiento anual promedio de aproximadamente 61%. Funciona mejor en el mercado de criptomonedas.
Detalles
- Criterios de entrada:
- Largo: Stoch %K < StochOversold && Price < Keltner lower band (oversold at lower band)
- Corto: Stoch %K > StochOverbought && Price > Keltner upper band (overbought at upper band)
- Largo/Corto: Ambos lados.
- Criterios de salida:
- Largo: Salir de la posición larga cuando el precio regresa a la banda media
- Corto: Salir de la posición corta cuando el precio regresa a la banda media
- Stops: Sí.
- Valores predeterminados:
StochPeriod= 14StochK= 3StochOversold= 20StochOverbought= 80EmaPeriod= 20KeltnerMultiplier= 2AtrPeriod= 14AtrMultiplier= 2 20 y 80 son los valores por defecto de los niveles de %K que citan las reglas. Las bandas son la EMA de EmaPeriod más y menos KeltnerMultiplier veces el ATR de AtrPeriod, y la banda media es la propia EMA. El stop se sitúa a AtrMultiplier veces el mismo ATR del cierre de entrada y se comprueba al cierre de las velas; 0 lo desactiva. StochK en las reglas es %K: el estocástico de StochPeriod velas suavizado en StochK velas; %D no interviene, por lo que no tiene ajuste. Una señal de entrada contra una posición abierta la invierte.CandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Mixto
- Dirección: Ambos
- Indicadores: Stochastic Keltner
- Stops: Sí
- Complejidad: Intermedio
- Marco temporal: Intradía
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Medio
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>
/// Stochastic Keltner strategy.
/// The Keltner Channel is the EmaPeriod EMA plus and minus KeltnerMultiplier times the AtrPeriod ATR; %K is the stochastic over StochPeriod
/// candles smoothed over StochK candles. %K below StochOversold with a close below the lower band goes long and %K above StochOverbought
/// with a close above the upper band goes short, reversing an opposite position. A position closes once price returns to the middle band.
/// The stop lies AtrMultiplier ATR from the entry close and is checked on candle closes.
/// </summary>
public class StochasticKeltnerStrategy : Strategy
{
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<int> _stochK;
private readonly StrategyParam<decimal> _stochOversold;
private readonly StrategyParam<decimal> _stochOverbought;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<decimal> _keltnerMultiplier;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopPrice;
/// <summary>
/// Lookback period of the raw stochastic.
/// </summary>
public int StochPeriod
{
get => _stochPeriod.Value;
set => _stochPeriod.Value = value;
}
/// <summary>
/// Smoothing period of %K.
/// </summary>
public int StochK
{
get => _stochK.Value;
set => _stochK.Value = value;
}
/// <summary>
/// %K level for longs.
/// </summary>
public decimal StochOversold
{
get => _stochOversold.Value;
set => _stochOversold.Value = value;
}
/// <summary>
/// %K level for shorts.
/// </summary>
public decimal StochOverbought
{
get => _stochOverbought.Value;
set => _stochOverbought.Value = value;
}
/// <summary>
/// Period of the channel EMA.
/// </summary>
public int EmaPeriod
{
get => _emaPeriod.Value;
set => _emaPeriod.Value = value;
}
/// <summary>
/// ATR multiplier of the channel width.
/// </summary>
public decimal KeltnerMultiplier
{
get => _keltnerMultiplier.Value;
set => _keltnerMultiplier.Value = value;
}
/// <summary>
/// Period of the channel and stop ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Stop distance from the entry in ATRs.
/// </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>
/// Constructor.
/// </summary>
public StochasticKeltnerStrategy()
{
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Stochastic Period", "Lookback period of the raw stochastic", "Stochastic");
_stochK = Param(nameof(StochK), 3)
.SetGreaterThanZero()
.SetDisplay("Stochastic %K", "Smoothing period of %K", "Stochastic");
_stochOversold = Param(nameof(StochOversold), 20m)
.SetDisplay("Stochastic Oversold", "%K level for longs", "Stochastic");
_stochOverbought = Param(nameof(StochOverbought), 80m)
.SetDisplay("Stochastic Overbought", "%K level for shorts", "Stochastic");
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "Period of the channel EMA", "Keltner");
_keltnerMultiplier = Param(nameof(KeltnerMultiplier), 2m)
.SetGreaterThanZero()
.SetDisplay("Keltner Multiplier", "ATR multiplier of the channel width", "Keltner");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the channel and stop ATR", "Keltner");
_atrMultiplier = Param(nameof(AtrMultiplier), 2m)
.SetNotNegative()
.SetDisplay("ATR Multiplier", "Stop distance from the entry in ATRs", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_stopPrice = default;
var stochastic = new StochasticOscillator
{
K = { Length = StochPeriod },
D = { Length = StochK },
};
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(stochastic, ema, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, stochastic);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochasticValue, IIndicatorValue emaValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!stochasticValue.IsFormed || !emaValue.IsFormed || !atrValue.IsFormed)
return;
// The smoothed %K is the moving average the core oscillator exposes as D.
if (stochasticValue is not IStochasticOscillatorValue { D: decimal k })
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var middle = emaValue.GetValue<decimal>();
var atr = atrValue.GetValue<decimal>();
var upper = middle + KeltnerMultiplier * atr;
var lower = middle - KeltnerMultiplier * atr;
var close = candle.ClosePrice;
if (k < StochOversold && close < lower && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - AtrMultiplier * atr;
}
else if (k > StochOverbought && close > upper && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + AtrMultiplier * atr;
}
else if (Position > 0 && (close >= middle || (AtrMultiplier > 0 && close <= _stopPrice)))
{
SellMarket(Position);
}
else if (Position < 0 && (close <= middle || (AtrMultiplier > 0 && close >= _stopPrice)))
{
BuyMarket(-Position);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import StochasticOscillator, ExponentialMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class stochastic_keltner_strategy(Strategy):
"""
Stochastic Keltner strategy.
The Keltner Channel is the EmaPeriod EMA plus and minus KeltnerMultiplier times the AtrPeriod ATR; %K is the stochastic over StochPeriod
candles smoothed over StochK candles. %K below StochOversold with a close below the lower band goes long and %K above StochOverbought
with a close above the upper band goes short, reversing an opposite position. A position closes once price returns to the middle band.
The stop lies AtrMultiplier ATR from the entry close and is checked on candle closes.
"""
def __init__(self):
super(stochastic_keltner_strategy, self).__init__()
self._stoch_period = self.Param("StochPeriod", 14).SetGreaterThanZero().SetDisplay("Stochastic Period", "Lookback period of the raw stochastic", "Stochastic")
self._stoch_k = self.Param("StochK", 3).SetGreaterThanZero().SetDisplay("Stochastic %K", "Smoothing period of %K", "Stochastic")
self._stoch_oversold = self.Param("StochOversold", 20.0).SetDisplay("Stochastic Oversold", "%K level for longs", "Stochastic")
self._stoch_overbought = self.Param("StochOverbought", 80.0).SetDisplay("Stochastic Overbought", "%K level for shorts", "Stochastic")
self._ema_period = self.Param("EmaPeriod", 20).SetGreaterThanZero().SetDisplay("EMA Period", "Period of the channel EMA", "Keltner")
self._keltner_multiplier = self.Param("KeltnerMultiplier", 2.0).SetGreaterThanZero().SetDisplay("Keltner Multiplier", "ATR multiplier of the channel width", "Keltner")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the channel and stop ATR", "Keltner")
self._atr_multiplier = self.Param("AtrMultiplier", 2.0).SetNotNegative().SetDisplay("ATR Multiplier", "Stop distance from the entry in ATRs", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._stop_price = Decimal(0)
def OnReseted(self):
super(stochastic_keltner_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(stochastic_keltner_strategy, self).OnStarted2(time)
self._reset_state()
stochastic = StochasticOscillator()
stochastic.K.Length = self._stoch_period.Value
stochastic.D.Length = self._stoch_k.Value
ema = ExponentialMovingAverage()
ema.Length = self._ema_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(stochastic, ema, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, stochastic)
def _process_candle(self, candle, stochastic_value, ema_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not stochastic_value.IsFormed or not ema_value.IsFormed or not atr_value.IsFormed:
return
# The smoothed %K is the moving average the core oscillator exposes as D.
if stochastic_value.D is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
k = stochastic_value.D
middle = ema_value.GetValue[Decimal](None)
atr = atr_value.GetValue[Decimal](None)
multiplier = Decimal(self._keltner_multiplier.Value)
upper = middle + multiplier * atr
lower = middle - multiplier * atr
close = candle.ClosePrice
stop_atr = Decimal(self._atr_multiplier.Value)
if k < Decimal(self._stoch_oversold.Value) and close < lower and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - stop_atr * atr
elif k > Decimal(self._stoch_overbought.Value) and close > upper and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + stop_atr * atr
elif self.Position > 0 and (close >= middle or (stop_atr > 0 and close <= self._stop_price)):
self.SellMarket(self.Position)
elif self.Position < 0 and (close <= middle or (stop_atr > 0 and close >= self._stop_price)):
self.BuyMarket(-self.Position)
def CreateClone(self):
return stochastic_keltner_strategy()