Keltner Williams R Strategy
This strategy uses Keltner Williams R indicators to generate signals. Long entry occurs when Price < lower Keltner band && Williams %R < WilliamsROversold (oversold at lower band). Short entry occurs when Price > upper Keltner band && Williams %R > WilliamsROverbought (overbought at upper band). It is suitable for traders seeking opportunities in mixed markets.
Testing indicates an average annual return of about 46%. It performs best in the stocks market.
Details
- Entry Criteria:
- Long: Price < lower Keltner band && Williams %R < WilliamsROversold (oversold at lower band)
- Short: Price > upper Keltner band && Williams %R > WilliamsROverbought (overbought at upper band)
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit long position when price returns to middle band
- Short: Exit short position when price returns to middle band
- Stops: Yes.
- Default Values:
EmaPeriod= 20KeltnerMultiplier= 2mAtrPeriod= 14WilliamsRPeriod= 14WilliamsROversold= -80WilliamsROverbought= -20StopLossPercent= 2 The bands are the EmaPeriod EMA plus and minus KeltnerMultiplier times the AtrPeriod ATR, and the middle band is the EMA itself. -80 and -20 are the defaults of the Williams %R levels the rules quote. The stop is a fixed StopLossPercent of the entry price, watched between candles as well. An entry signal against an open position reverses it.CandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Mixed
- Direction: Both
- Indicators: Keltner Williams R
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
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()