Kalman Filter トレンド戦略
このトレンドフォロー手法は、Kalman Filterを使用して価格変動を平滑化し、基本的な方向を推定します。フィルターは市場ノイズに動的に適応し、標準的な移動平均と比較してトレンドの強さをより精緻に把握できます。
テストによると、平均年間リターンは約112%です。外国為替市場で最も高いパフォーマンスを発揮します。
終値がKalman Filterの推定値を上回ると、ロングポジションが開かれます。逆に、終値がフィルター値を下回ると、ショートポジションが取られます。フィルターはすべてのバーで更新されるため、価格がラインを交差するたびにトレードが切り替わり、トレンド市場への継続的な参加が可能になります。
体系的なアプローチを好むトレーダーは、Kalman Filterがダマシを減らすのに役立つと感じるかもしれません。ATRベースの保護ストップにより、トレンドが急速に反転した場合のリスクを制限します。
詳細
- エントリー条件:
- ロング: 終値 > Kalman Filter
- ショート: 終値 < Kalman Filter
- ロング/ショート: 両方。
- エグジット条件:
- ロング: 終値 < Kalman Filter の時に決済
- ショート: 終値 > Kalman Filter の時に決済
- ストップ: あり、ATRベースのストップロス。
- デフォルト値:
ProcessNoise= 0.01MeasurementNoise= 0.1AtrPeriod= 14AtrMultiplier= 2 ラインの反対側でのエントリーはポジションをドテンします。ストップはエントリー時の終値からAtrPeriod本のATRのAtrMultiplier倍離れた位置に置かれ、ローソク足の終値で確認されます。ストップ後は次にラインを越えて引けた足で新しいポジションを開きます。0で無効になります。CandleType= TimeSpan.FromMinutes(5)
- フィルター:
- カテゴリ: トレンド
- 方向: 両方
- インジケーター: Kalman Filter
- ストップ: あり
- 複雑さ: 中級
- 時間軸: イントラデイ
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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()