Kalman Filter Trend Strategy
This trend-following method uses a Kalman filter to smooth price fluctuations and estimate the underlying direction. The filter dynamically adapts to market noise, offering a refined view of trend strength compared to standard moving averages.
Testing indicates an average annual return of about 112%. It performs best in the forex market.
A long position is opened when the closing price rises above the Kalman filter estimate. Conversely, a short position is taken when the close drops below the filter value. Because the filter updates on every bar, trades flip whenever price crosses the line, providing continuous participation in trending markets.
Traders who prefer systematic approaches may find the Kalman filter useful for reducing whipsaws. A protective stop based on ATR keeps risk limited in case the trend rapidly reverses.
Details
- Entry Criteria:
- Long: Close > Kalman Filter
- Short: Close < Kalman Filter
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit on close < Kalman Filter
- Short: Exit on close > Kalman Filter
- Stops: Yes, ATR-based stop-loss.
- Default Values:
ProcessNoise = 0.01
MeasurementNoise = 0.1
AtrPeriod = 14
AtrMultiplier = 2
An entry on the other side of the line reverses the position. The stop is set AtrMultiplier times the AtrPeriod ATR from the entry close and checked on candle closes; after it the next close beyond the line opens a new position. 0 disables it.
CandleType = TimeSpan.FromMinutes(5)
- Filters:
- Category: Trend
- Direction: Both
- Indicators: Kalman Filter
- 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>
/// Kalman Filter Trend strategy.
/// A close above the Kalman filter estimate goes long and a close below it goes short, reversing an opposite position, so the position flips
/// whenever price crosses the line. The stop lies AtrMultiplier times the AtrPeriod ATR from the entry close and is checked on candle closes.
/// </summary>
public class KalmanFilterTrendStrategy : Strategy
{
private readonly StrategyParam<decimal> _processNoise;
private readonly StrategyParam<decimal> _measurementNoise;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopPrice;
/// <summary>
/// Process noise of the Kalman filter.
/// </summary>
public decimal ProcessNoise
{
get => _processNoise.Value;
set => _processNoise.Value = value;
}
/// <summary>
/// Measurement noise of the Kalman filter.
/// </summary>
public decimal MeasurementNoise
{
get => _measurementNoise.Value;
set => _measurementNoise.Value = value;
}
/// <summary>
/// Period of the 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 KalmanFilterTrendStrategy()
{
_processNoise = Param(nameof(ProcessNoise), 0.01m)
.SetGreaterThanZero()
.SetDisplay("Process Noise", "Process noise of the Kalman filter", "Kalman Filter");
_measurementNoise = Param(nameof(MeasurementNoise), 0.1m)
.SetGreaterThanZero()
.SetDisplay("Measurement Noise", "Measurement noise of the Kalman filter", "Kalman Filter");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the stop ATR", "Risk");
_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 kalman = new KalmanFilter
{
ProcessNoise = ProcessNoise,
MeasurementNoise = MeasurementNoise,
};
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(kalman, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, kalman);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, atr);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue kalmanValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!kalmanValue.IsFormed || !atrValue.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var line = kalmanValue.GetValue<decimal>();
var atr = atrValue.GetValue<decimal>();
var close = candle.ClosePrice;
if (close > line && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - AtrMultiplier * atr;
}
else if (close < line && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + AtrMultiplier * atr;
}
else if (Position > 0 && AtrMultiplier > 0 && close <= _stopPrice)
{
SellMarket(Position);
}
else if (Position < 0 && 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 KalmanFilter, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class kalman_filter_trend_strategy(Strategy):
"""
Kalman Filter Trend strategy.
A close above the Kalman filter estimate goes long and a close below it goes short, reversing an opposite position, so the position flips
whenever price crosses the line. The stop lies AtrMultiplier times the AtrPeriod ATR from the entry close and is checked on candle closes.
"""
def __init__(self):
super(kalman_filter_trend_strategy, self).__init__()
self._process_noise = self.Param("ProcessNoise", 0.01).SetGreaterThanZero().SetDisplay("Process Noise", "Process noise of the Kalman filter", "Kalman Filter")
self._measurement_noise = self.Param("MeasurementNoise", 0.1).SetGreaterThanZero().SetDisplay("Measurement Noise", "Measurement noise of the Kalman filter", "Kalman Filter")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the stop ATR", "Risk")
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(kalman_filter_trend_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(kalman_filter_trend_strategy, self).OnStarted2(time)
self._reset_state()
kalman = KalmanFilter()
kalman.ProcessNoise = Decimal(self._process_noise.Value)
kalman.MeasurementNoise = Decimal(self._measurement_noise.Value)
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(kalman, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, kalman)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, atr)
def _process_candle(self, candle, kalman_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not kalman_value.IsFormed or not atr_value.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
line = kalman_value.GetValue[Decimal](None)
atr = atr_value.GetValue[Decimal](None)
close = candle.ClosePrice
stop_atr = Decimal(self._atr_multiplier.Value)
if close > line and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - stop_atr * atr
elif close < line and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + stop_atr * atr
elif self.Position > 0 and stop_atr > 0 and close <= self._stop_price:
self.SellMarket(self.Position)
elif self.Position < 0 and stop_atr > 0 and close >= self._stop_price:
self.BuyMarket(-self.Position)
def CreateClone(self):
return kalman_filter_trend_strategy()