Стратегия Stochastic Keltner
Стратегия использует стохастический осциллятор и каналы Келтнера. Длинная позиция открывается, когда %K < 20 и цена ниже нижней полосы Келтнера (перепроданность). Короткая позиция берётся при %K > 80 и цене выше верхней полосы (перекупленность).
Тестирование показывает среднегодичную доходность около 61%. Стратегию лучше запускать на крипторынке.
Она подходит трейдерам, работающим в смешанном рынке.
Детали
- Условия входа:
- Лонг: %K < 20 и цена < нижней полосы Келтнера (перепроданность)
- Шорт: %K > 80 и цена > верхней полосы Келтнера (перекупленность)
- Лонг/Шорт: обе стороны.
- Условия выхода:
- Лонг: Закрыть позицию при возвращении цены к средней полосе
- Шорт: Закрыть позицию при возвращении цены к средней полосе
- Стопы: да.
- Значения по умолчанию:
StochPeriod= 14StochK= 3StochD= 3EmaPeriod= 20KeltnerMultiplier= 2mAtrPeriod= 14AtrMultiplier= 2mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Смешанная
- Направление: Оба
- Индикаторы: Stochastic Keltner
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной
- 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 Stochastic Oscillator and Keltner Channels indicators
/// </summary>
public class StochasticKeltnerStrategy : Strategy
{
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<int> _stochK;
private readonly StrategyParam<int> _stochD;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<decimal> _keltnerMultiplier;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevStochK;
private int _cooldown;
/// <summary>
/// Stochastic period
/// </summary>
public int StochPeriod
{
get => _stochPeriod.Value;
set => _stochPeriod.Value = value;
}
/// <summary>
/// Stochastic %K smoothing period
/// </summary>
public int StochK
{
get => _stochK.Value;
set => _stochK.Value = value;
}
/// <summary>
/// Stochastic %D smoothing period
/// </summary>
public int StochD
{
get => _stochD.Value;
set => _stochD.Value = value;
}
/// <summary>
/// EMA period for Keltner Channel
/// </summary>
public int EmaPeriod
{
get => _emaPeriod.Value;
set => _emaPeriod.Value = value;
}
/// <summary>
/// Keltner Channel multiplier (k)
/// </summary>
public decimal KeltnerMultiplier
{
get => _keltnerMultiplier.Value;
set => _keltnerMultiplier.Value = value;
}
/// <summary>
/// ATR period for Keltner Channel and stop-loss
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR multiplier for stop-loss
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// Bars to wait between trades.
/// </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>
/// Constructor
/// </summary>
public StochasticKeltnerStrategy()
{
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetRange(5, 30)
.SetDisplay("Stoch Period", "Period for Stochastic Oscillator", "Stochastic")
;
_stochK = Param(nameof(StochK), 3)
.SetRange(1, 10)
.SetDisplay("Stoch %K", "Stochastic %K smoothing period", "Stochastic")
;
_stochD = Param(nameof(StochD), 3)
.SetRange(1, 10)
.SetDisplay("Stoch %D", "Stochastic %D smoothing period", "Stochastic")
;
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetRange(10, 50)
.SetDisplay("EMA Period", "EMA period for Keltner Channel", "Keltner")
;
_keltnerMultiplier = Param(nameof(KeltnerMultiplier), 2m)
.SetRange(1m, 4m)
.SetDisplay("K Multiplier", "Multiplier for Keltner Channel", "Keltner")
;
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetRange(7, 28)
.SetDisplay("ATR Period", "ATR period for Keltner Channel and stop-loss", "Risk Management")
;
_atrMultiplier = Param(nameof(AtrMultiplier), 2m)
.SetRange(1m, 4m)
.SetDisplay("ATR Multiplier", "Multiplier for ATR-based stop-loss", "Risk Management")
;
_cooldownBars = Param(nameof(CooldownBars), 40)
.SetRange(1, 200)
.SetDisplay("Cooldown Bars", "Bars between entries", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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();
_prevStochK = 50m;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Initialize indicators
var stochastic = new StochasticOscillator
{
K = { Length = StochPeriod },
D = { Length = StochD },
};
var keltner = new KeltnerChannels
{
Length = EmaPeriod,
};
var atr = new AverageTrueRange { Length = AtrPeriod };
// Create subscription and bind indicators
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(keltner, stochastic, atr, ProcessIndicators)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, keltner);
DrawIndicator(area, stochastic);
DrawOwnTrades(area);
}
}
private void ProcessIndicators(ICandleMessage candle, IIndicatorValue keltnerValue, IIndicatorValue stochValue, IIndicatorValue atrValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
var price = candle.ClosePrice;
var keltnerTyped = (KeltnerChannelsValue)keltnerValue;
var upperBand = keltnerTyped.Upper;
var lowerBand = keltnerTyped.Lower;
var middleBand = keltnerTyped.Middle;
// Trading logic:
// Long: Stoch %K < 20 && Price < Keltner lower band (oversold at lower band)
// Short: Stoch %K > 80 && Price > Keltner upper band (overbought at upper band)
var stochTyped = (StochasticOscillatorValue)stochValue;
if (stochTyped.K is not decimal stochK)
return;
var crossedBelow20 = _prevStochK >= 20m && stochK < 20m;
var crossedAbove80 = _prevStochK <= 80m && stochK > 80m;
_prevStochK = stochK;
if (_cooldown > 0)
_cooldown--;
if (_cooldown == 0 && crossedBelow20 && price <= lowerBand * 1.001m && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_cooldown = CooldownBars;
}
else if (_cooldown == 0 && crossedAbove80 && price >= upperBand * 0.999m && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_cooldown = CooldownBars;
}
// Exit conditions
else if (Position > 0 && crossedAbove80)
{
SellMarket(Position);
_cooldown = CooldownBars;
}
else if (Position < 0 && crossedBelow20)
{
BuyMarket(Math.Abs(Position));
_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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import StochasticOscillator, KeltnerChannels, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class stochastic_keltner_strategy(Strategy):
"""
Strategy based on Stochastic Oscillator and Keltner Channels indicators
"""
def __init__(self):
super(stochastic_keltner_strategy, self).__init__()
self._stochPeriod = self.Param("StochPeriod", 14) \
.SetRange(5, 30) \
.SetDisplay("Stoch Period", "Period for Stochastic Oscillator", "Stochastic")
self._stochK = self.Param("StochK", 3) \
.SetRange(1, 10) \
.SetDisplay("Stoch %K", "Stochastic %K smoothing period", "Stochastic")
self._stochD = self.Param("StochD", 3) \
.SetRange(1, 10) \
.SetDisplay("Stoch %D", "Stochastic %D smoothing period", "Stochastic")
self._emaPeriod = self.Param("EmaPeriod", 20) \
.SetRange(10, 50) \
.SetDisplay("EMA Period", "EMA period for Keltner Channel", "Keltner")
self._keltnerMultiplier = self.Param("KeltnerMultiplier", 2.0) \
.SetRange(1.0, 4.0) \
.SetDisplay("K Multiplier", "Multiplier for Keltner Channel", "Keltner")
self._atrPeriod = self.Param("AtrPeriod", 14) \
.SetRange(7, 28) \
.SetDisplay("ATR Period", "ATR period for Keltner Channel and stop-loss", "Risk Management")
self._atrMultiplier = self.Param("AtrMultiplier", 2.0) \
.SetRange(1.0, 4.0) \
.SetDisplay("ATR Multiplier", "Multiplier for ATR-based stop-loss", "Risk Management")
self._cooldownBars = self.Param("CooldownBars", 40) \
.SetRange(1, 200) \
.SetDisplay("Cooldown Bars", "Bars between entries", "General")
self._candleType = self.Param("CandleType", tf(15)) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_stoch_k = 50.0
self._cooldown = 0
@property
def CandleType(self):
return self._candleType.Value
def OnReseted(self):
super(stochastic_keltner_strategy, self).OnReseted()
self._prev_stoch_k = 50.0
self._cooldown = 0
def OnStarted2(self, time):
super(stochastic_keltner_strategy, self).OnStarted2(time)
self._prev_stoch_k = 50.0
self._cooldown = 0
stochastic = StochasticOscillator()
stochastic.K.Length = self._stochPeriod.Value
stochastic.D.Length = self._stochD.Value
keltner = KeltnerChannels()
keltner.Length = self._emaPeriod.Value
atr = AverageTrueRange()
atr.Length = self._atrPeriod.Value
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(keltner, stochastic, atr, self.ProcessIndicators).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, keltner)
self.DrawIndicator(area, stochastic)
self.DrawOwnTrades(area)
def ProcessIndicators(self, candle, keltner_value, stoch_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
price = float(candle.ClosePrice)
upper = keltner_value.Upper
lower = keltner_value.Lower
if upper is None or lower is None:
return
upper_band = float(upper)
lower_band = float(lower)
stoch_k_val = stoch_value.K
if stoch_k_val is None:
return
stoch_k = float(stoch_k_val)
crossed_below_20 = self._prev_stoch_k >= 20 and stoch_k < 20
crossed_above_80 = self._prev_stoch_k <= 80 and stoch_k > 80
self._prev_stoch_k = stoch_k
if self._cooldown > 0:
self._cooldown -= 1
cooldown_val = int(self._cooldownBars.Value)
if self._cooldown == 0 and crossed_below_20 and price <= lower_band * 1.001 and self.Position <= 0:
volume = self.Volume + abs(self.Position)
self.BuyMarket(volume)
self._cooldown = cooldown_val
elif self._cooldown == 0 and crossed_above_80 and price >= upper_band * 0.999 and self.Position >= 0:
volume = self.Volume + abs(self.Position)
self.SellMarket(volume)
self._cooldown = cooldown_val
elif self.Position > 0 and crossed_above_80:
self.SellMarket(self.Position)
self._cooldown = cooldown_val
elif self.Position < 0 and crossed_below_20:
self.BuyMarket(abs(self.Position))
self._cooldown = cooldown_val
def CreateClone(self):
return stochastic_keltner_strategy()