Seasonality Adjusted Momentum
The Seasonality Adjusted Momentum strategy is built around momentum indicator adjusted with seasonality strength.
Testing indicates an average annual return of about 172%. It performs best in the forex market.
Signals trigger when Seasonality confirms momentum shifts on daily data. This makes the method suitable for active traders.
Stops rely on ATR multiples and factors like MomentumPeriod, SeasonalityThreshold. Adjust these defaults to balance risk and reward.
Details
- Entry Criteria: see implementation for indicator conditions.
- Long/Short: Both directions.
- Exit Criteria: opposite signal or stop logic.
- Stops: Yes, using indicator-based calculations.
- Default Values:
MomentumPeriod = 14SeasonalityThreshold = 0.5mStopLossPercent = 2.0mCandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Seasonality, Adjusted
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Daily
- Seasonality: Yes
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Momentum strategy that allows longs or shorts only when the current month historically supports that seasonal bias.
/// </summary>
public class SeasonalityAdjustedMomentumStrategy : Strategy
{
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<decimal> _seasonalityThreshold;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private readonly Dictionary<int, decimal> _seasonalStrengthByMonth = [];
private Momentum _momentum;
private SimpleMovingAverage _momentumAverage;
private int _cooldown;
/// <summary>
/// Period for the momentum indicator.
/// </summary>
public int MomentumPeriod
{
get => _momentumPeriod.Value;
set => _momentumPeriod.Value = value;
}
/// <summary>
/// Minimum absolute seasonality strength required to allow directional entries.
/// </summary>
public decimal SeasonalityThreshold
{
get => _seasonalityThreshold.Value;
set => _seasonalityThreshold.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Bars to wait after each order.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public SeasonalityAdjustedMomentumStrategy()
{
_momentumPeriod = Param(nameof(MomentumPeriod), 14)
.SetRange(3, 100)
.SetDisplay("Momentum Period", "Period for the momentum indicator", "Indicators");
_seasonalityThreshold = Param(nameof(SeasonalityThreshold), 0.2m)
.SetRange(0m, 1m)
.SetDisplay("Seasonality Threshold", "Minimum absolute seasonality strength required for entries", "Signals");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 120)
.SetRange(1, 500)
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for the strategy", "General");
InitializeSeasonalityData();
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security != null)
yield return (Security, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_momentum = null;
_momentumAverage = null;
_cooldown = 0;
_seasonalStrengthByMonth.Clear();
InitializeSeasonalityData();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Security == null)
throw new InvalidOperationException("Security is not specified.");
_momentum = new Momentum { Length = MomentumPeriod };
_momentumAverage = new SimpleMovingAverage { Length = MomentumPeriod };
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_momentum, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _momentum);
DrawIndicator(area, _momentumAverage);
DrawOwnTrades(area);
}
StartProtection(new Unit(0, UnitTypes.Absolute), new Unit(StopLossPercent, UnitTypes.Percent), false);
}
private void ProcessCandle(ICandleMessage candle, decimal momentumValue)
{
if (candle.State != CandleStates.Finished)
return;
var momentumAvgValue = _momentumAverage.Process(momentumValue, candle.OpenTime, true).ToDecimal();
if (!_momentum.IsFormed || !_momentumAverage.IsFormed)
return;
if (ProcessState != ProcessStates.Started)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var seasonalStrength = GetSeasonalStrength(candle.OpenTime.Month);
var allowLong = seasonalStrength >= SeasonalityThreshold;
var allowShort = seasonalStrength <= -SeasonalityThreshold;
var bullishMomentum = momentumValue > momentumAvgValue;
var bearishMomentum = momentumValue < momentumAvgValue;
if (Position > 0)
{
if (!allowLong || bearishMomentum)
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
return;
}
if (Position < 0)
{
if (!allowShort || bullishMomentum)
{
BuyMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
return;
}
if (allowLong && bullishMomentum)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (allowShort && bearishMomentum)
{
SellMarket();
_cooldown = CooldownBars;
}
}
private decimal GetSeasonalStrength(int month)
=> _seasonalStrengthByMonth.TryGetValue(month, out var strength) ? strength : 0m;
private void InitializeSeasonalityData()
{
_seasonalStrengthByMonth[1] = 0.8m;
_seasonalStrengthByMonth[2] = 0.2m;
_seasonalStrengthByMonth[3] = 0.5m;
_seasonalStrengthByMonth[4] = 0.7m;
_seasonalStrengthByMonth[5] = 0.3m;
_seasonalStrengthByMonth[6] = -0.2m;
_seasonalStrengthByMonth[7] = -0.3m;
_seasonalStrengthByMonth[8] = -0.4m;
_seasonalStrengthByMonth[9] = -0.7m;
_seasonalStrengthByMonth[10] = 0.4m;
_seasonalStrengthByMonth[11] = 0.6m;
_seasonalStrengthByMonth[12] = 0.9m;
}
}
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, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import Momentum, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class seasonality_adjusted_momentum_strategy(Strategy):
"""
Momentum strategy that allows longs or shorts only when the current month
historically supports that seasonal bias.
"""
def __init__(self):
super(seasonality_adjusted_momentum_strategy, self).__init__()
self._momentum_period = self.Param("MomentumPeriod", 14) \
.SetDisplay("Momentum Period", "Period for the momentum indicator", "Indicators")
self._seasonality_threshold = self.Param("SeasonalityThreshold", 0.2) \
.SetDisplay("Seasonality Threshold", "Minimum absolute seasonality strength required for entries", "Signals")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 120) \
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles for the strategy", "General")
self._seasonal_strength_by_month = {}
self._momentum = None
self._momentum_average = None
self._cooldown = 0
self._initialize_seasonality_data()
@property
def candle_type(self):
return self._candle_type.Value
def _initialize_seasonality_data(self):
self._seasonal_strength_by_month[1] = 0.8
self._seasonal_strength_by_month[2] = 0.2
self._seasonal_strength_by_month[3] = 0.5
self._seasonal_strength_by_month[4] = 0.7
self._seasonal_strength_by_month[5] = 0.3
self._seasonal_strength_by_month[6] = -0.2
self._seasonal_strength_by_month[7] = -0.3
self._seasonal_strength_by_month[8] = -0.4
self._seasonal_strength_by_month[9] = -0.7
self._seasonal_strength_by_month[10] = 0.4
self._seasonal_strength_by_month[11] = 0.6
self._seasonal_strength_by_month[12] = 0.9
def OnReseted(self):
super(seasonality_adjusted_momentum_strategy, self).OnReseted()
self._momentum = None
self._momentum_average = None
self._cooldown = 0
self._seasonal_strength_by_month.clear()
self._initialize_seasonality_data()
def OnStarted2(self, time):
super(seasonality_adjusted_momentum_strategy, self).OnStarted2(time)
mp = int(self._momentum_period.Value)
self._momentum = Momentum()
self._momentum.Length = mp
self._momentum_average = SimpleMovingAverage()
self._momentum_average.Length = mp
self._cooldown = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._momentum, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._momentum)
self.DrawIndicator(area, self._momentum_average)
self.DrawOwnTrades(area)
self.StartProtection(Unit(0, UnitTypes.Absolute), Unit(self._stop_loss_percent.Value, UnitTypes.Percent), False)
def _process_candle(self, candle, momentum_value):
if candle.State != CandleStates.Finished:
return
mv = float(momentum_value)
momentum_avg_val = float(process_float(self._momentum_average, Decimal(mv), candle.OpenTime, True))
if not self._momentum.IsFormed or not self._momentum_average.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown > 0:
self._cooldown -= 1
return
seasonal_strength = self._seasonal_strength_by_month.get(candle.OpenTime.Month, 0.0)
st = float(self._seasonality_threshold.Value)
allow_long = seasonal_strength >= st
allow_short = seasonal_strength <= -st
bullish_momentum = mv > momentum_avg_val
bearish_momentum = mv < momentum_avg_val
cd = int(self._cooldown_bars.Value)
if self.Position > 0:
if not allow_long or bearish_momentum:
self.SellMarket(Math.Abs(self.Position))
self._cooldown = cd
return
if self.Position < 0:
if not allow_short or bullish_momentum:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown = cd
return
if allow_long and bullish_momentum:
self.BuyMarket()
self._cooldown = cd
elif allow_short and bearish_momentum:
self.SellMarket()
self._cooldown = cd
def CreateClone(self):
return seasonality_adjusted_momentum_strategy()