Стратегия Keltner Williams R
Эта стратегия использует индикаторы Keltner и Williams %R для получения сигналов. Длинная позиция открывается, когда цена опускается ниже нижней полосы Келтнера, а Williams %R ниже WilliamsROversold, что говорит о перепроданности. Короткая позиция возникает при цене выше верхней полосы и Williams %R выше WilliamsROverbought — перекупленность.
Тестирование показывает среднегодичную доходность около 46%. Стратегию лучше запускать на фондовом рынке.
Стратегия подходит трейдерам, работающим в смешанном рынке.
Детали
- Условия входа:
- Лонг: Цена < нижней полосы Келтнера и Williams %R < WilliamsROversold (перепроданность)
- Шорт: Цена > верхней полосы Келтнера и Williams %R > WilliamsROverbought (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:
EmaPeriod= 20KeltnerMultiplier= 2mAtrPeriod= 14WilliamsRPeriod= 14WilliamsROversold= -80WilliamsROverbought= -20StopLossPercent= 2 Полосы — EMA за EmaPeriod плюс и минус KeltnerMultiplier ATR за AtrPeriod, средняя полоса — сама EMA. -80 и -20 — значения по умолчанию уровней Williams %R из правил. Стоп — фиксированный StopLossPercent от цены входа, он отслеживается и между свечами. Сигнал на вход против открытой позиции разворачивает её.CandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Смешанная
- Направление: Оба
- Индикаторы: Keltner Williams R
- Стопы: Да
- Сложность: Средняя
- 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>
/// Keltner Williams R strategy.
/// The Keltner Channel is the EmaPeriod EMA plus and minus KeltnerMultiplier times the AtrPeriod ATR. A close below the lower band with
/// Williams %R below WilliamsROversold goes long and a close above the upper band with %R above WilliamsROverbought goes short, reversing
/// an opposite position. A long closes once price returns to the middle band and a short likewise, and a percent stop limits the loss.
/// </summary>
public class KeltnerWilliamsRStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<decimal> _keltnerMultiplier;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<int> _williamsRPeriod;
private readonly StrategyParam<decimal> _williamsROversold;
private readonly StrategyParam<decimal> _williamsROverbought;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
/// <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 ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Period of Williams %R.
/// </summary>
public int WilliamsRPeriod
{
get => _williamsRPeriod.Value;
set => _williamsRPeriod.Value = value;
}
/// <summary>
/// Williams %R level for longs.
/// </summary>
public decimal WilliamsROversold
{
get => _williamsROversold.Value;
set => _williamsROversold.Value = value;
}
/// <summary>
/// Williams %R level for shorts.
/// </summary>
public decimal WilliamsROverbought
{
get => _williamsROverbought.Value;
set => _williamsROverbought.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public KeltnerWilliamsRStrategy()
{
_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 ATR", "Keltner");
_williamsRPeriod = Param(nameof(WilliamsRPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Williams %R Period", "Period of Williams %R", "Williams %R");
_williamsROversold = Param(nameof(WilliamsROversold), -80m)
.SetDisplay("Williams %R Oversold", "Williams %R level for longs", "Williams %R");
_williamsROverbought = Param(nameof(WilliamsROverbought), -20m)
.SetDisplay("Williams %R Overbought", "Williams %R level for shorts", "Williams %R");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "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 OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var williams = new WilliamsR { Length = WilliamsRPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(ema, atr, williams, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, williams);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue emaValue, IIndicatorValue atrValue, IIndicatorValue williamsValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!emaValue.IsFormed || !atrValue.IsFormed || !williamsValue.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var middle = emaValue.GetValue<decimal>();
var atr = atrValue.GetValue<decimal>();
var williams = williamsValue.GetValue<decimal>();
var upper = middle + KeltnerMultiplier * atr;
var lower = middle - KeltnerMultiplier * atr;
var close = candle.ClosePrice;
if (close < lower && williams < WilliamsROversold && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close > upper && williams > WilliamsROverbought && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close >= middle)
SellMarket(Position);
else if (Position < 0 && close <= middle)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange, WilliamsR
from StockSharp.Algo.Strategies import Strategy
class keltner_williams_r_strategy(Strategy):
"""
Keltner Williams R strategy.
The Keltner Channel is the EmaPeriod EMA plus and minus KeltnerMultiplier times the AtrPeriod ATR. A close below the lower band with
Williams %R below WilliamsROversold goes long and a close above the upper band with %R above WilliamsROverbought goes short, reversing
an opposite position. A long closes once price returns to the middle band and a short likewise, and a percent stop limits the loss.
"""
def __init__(self):
super(keltner_williams_r_strategy, self).__init__()
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 ATR", "Keltner")
self._williams_r_period = self.Param("WilliamsRPeriod", 14).SetGreaterThanZero().SetDisplay("Williams %R Period", "Period of Williams %R", "Williams %R")
self._williams_r_oversold = self.Param("WilliamsROversold", -80.0).SetDisplay("Williams %R Oversold", "Williams %R level for longs", "Williams %R")
self._williams_r_overbought = self.Param("WilliamsROverbought", -20.0).SetDisplay("Williams %R Overbought", "Williams %R level for shorts", "Williams %R")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(keltner_williams_r_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self._ema_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
williams = WilliamsR()
williams.Length = self._williams_r_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(ema, atr, williams, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).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, williams)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, ema_value, atr_value, williams_value):
if candle.State != CandleStates.Finished:
return
if not ema_value.IsFormed or not atr_value.IsFormed or not williams_value.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
middle = ema_value.GetValue[Decimal](None)
atr = atr_value.GetValue[Decimal](None)
williams = williams_value.GetValue[Decimal](None)
multiplier = Decimal(self._keltner_multiplier.Value)
upper = middle + multiplier * atr
lower = middle - multiplier * atr
close = candle.ClosePrice
if close < lower and williams < Decimal(self._williams_r_oversold.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif close > upper and williams > Decimal(self._williams_r_overbought.Value) and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close >= middle:
self.SellMarket(self.Position)
elif self.Position < 0 and close <= middle:
self.BuyMarket(-self.Position)
def CreateClone(self):
return keltner_williams_r_strategy()