Momentum-Ausbruch-Strategie
Dieses Ausbruchssystem sucht nach plötzlichen Anstiegen des Momentums im Verhältnis zu seinem historischen Durchschnitt. Wenn Momentum-Werte den Durchschnitt um einen großen Betrag überschreiten, könnte der Preis eine schnelle direktionale Bewegung beginnen.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 82%. Die Strategie funktioniert am besten am Aktienmarkt.
Die Strategie kauft, wenn das Momentum über den Durchschnitt plus Multiplier mal seine Standardabweichung steigt. Ein Short wird eingeleitet, wenn das Momentum unter den Durchschnitt minus denselben Multiplikator fällt. Positionen werden geschlossen, sobald das Momentum in Richtung seines Mittelwerts zurückkehrt.
Trader, die schnelle Bewegungen mögen, können die klaren Regeln zum Erfassen von Kraftschüben schätzen. Ein Stop-Loss basierend auf einem Prozentsatz des Preises schützt vor gescheiterten Ausbrüchen.
Details
- Einstiegskriterien:
- Long: Momentum > Avg + Multiplier * StdDev
- Short: Momentum < Avg - Multiplier * StdDev
- Long/Short: Beide Seiten.
- Ausstiegskriterien:
- Long: Ausstieg wenn Momentum < Avg
- Short: Ausstieg wenn Momentum > Avg
- Stops: Ja, prozentualer Stop-Loss.
- Standardwerte:
MomentumPeriod= 14AveragePeriod= 20Multiplier= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Filter:
- Kategorie: Ausbruch
- Richtung: Beide
- Indikatoren: Momentum
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Intraday
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Momentum Breakout Strategy (245).
/// Enter when momentum breaks out above/below its average by a certain multiple of standard deviation.
/// Exit when momentum returns to its average.
/// </summary>
public class MomentumBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<int> _averagePeriod;
private readonly StrategyParam<decimal> _multiplier;
private readonly StrategyParam<DataType> _candleType;
private Momentum _momentum;
private SimpleMovingAverage _momentumAverage;
private StandardDeviation _momentumStdDev;
private decimal? _currentMomentum;
private decimal? _momentumAvgValue;
private decimal? _momentumStdDevValue;
/// <summary>
/// Momentum period.
/// </summary>
public int MomentumPeriod
{
get => _momentumPeriod.Value;
set => _momentumPeriod.Value = value;
}
/// <summary>
/// Period for momentum average calculation.
/// </summary>
public int AveragePeriod
{
get => _averagePeriod.Value;
set => _averagePeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for entry.
/// </summary>
public decimal Multiplier
{
get => _multiplier.Value;
set => _multiplier.Value = value;
}
/// <summary>
/// Type of candles to use.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="MomentumBreakoutStrategy"/>.
/// </summary>
public MomentumBreakoutStrategy()
{
_momentumPeriod = Param(nameof(MomentumPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Momentum Period", "Period for momentum calculation", "Strategy Parameters")
.SetOptimize(10, 20, 2);
_averagePeriod = Param(nameof(AveragePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Average Period", "Period for momentum average calculation", "Strategy Parameters")
.SetOptimize(10, 30, 5);
_multiplier = Param(nameof(Multiplier), 2.0m)
.SetGreaterThanZero()
.SetDisplay("StdDev Multiplier", "Standard deviation multiplier for entry", "Strategy Parameters")
.SetOptimize(1.0m, 3.0m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "Strategy Parameters");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_currentMomentum = default;
_momentumAvgValue = default;
_momentumStdDevValue = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicators
_momentum = new Momentum { Length = MomentumPeriod };
_momentumAverage = new SMA { Length = AveragePeriod };
_momentumStdDev = new StandardDeviation { Length = AveragePeriod };
// Create candle subscription
var subscription = SubscribeCandles(CandleType);
// Create processing chain
subscription
.Bind(_momentum, ProcessMomentum)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _momentum);
DrawOwnTrades(area);
}
// Enable position protection
StartProtection(
takeProfit: new Unit(5, UnitTypes.Percent),
stopLoss: new Unit(2, UnitTypes.Percent)
);
}
private void ProcessMomentum(ICandleMessage candle, decimal momentumValue)
{
if (candle.State != CandleStates.Finished)
return;
// Store the current momentum value
_currentMomentum = momentumValue;
// Process momentum through average and standard deviation indicators
var avgIndicatorValue = _momentumAverage.Process(new DecimalIndicatorValue(_momentumAverage, momentumValue, candle.ServerTime) { IsFinal = true });
var stdDevIndicatorValue = _momentumStdDev.Process(new DecimalIndicatorValue(_momentumStdDev, momentumValue, candle.ServerTime) { IsFinal = true });
_momentumAvgValue = avgIndicatorValue.ToDecimal();
_momentumStdDevValue = stdDevIndicatorValue.ToDecimal();
if (!_momentumAverage.IsFormed || !_momentumStdDev.IsFormed)
return;
// Ensure we have all needed values
if (!_currentMomentum.HasValue || !_momentumAvgValue.HasValue || !_momentumStdDevValue.HasValue)
return;
// Calculate bands
var upperBand = _momentumAvgValue.Value + Multiplier * _momentumStdDevValue.Value;
var lowerBand = _momentumAvgValue.Value - Multiplier * _momentumStdDevValue.Value;
LogInfo($"Momentum: {_currentMomentum}, Avg: {_momentumAvgValue}, Upper: {upperBand}, Lower: {lowerBand}");
// Entry logic - BREAKOUT (not mean reversion)
if (Position == 0)
{
// Long Entry: Momentum breaks above upper band (strong upward momentum)
if (_currentMomentum.Value > upperBand)
{
BuyMarket();
}
// Short Entry: Momentum breaks below lower band (strong downward momentum)
else if (_currentMomentum.Value < lowerBand)
{
SellMarket();
}
}
}
}
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
from StockSharp.Messages import DataType, Unit, UnitTypes, CandleStates
from StockSharp.Algo.Indicators import Momentum, SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class momentum_breakout_strategy(Strategy):
"""
Momentum Breakout Strategy (245).
Enter when momentum breaks out above/below its average by a certain multiple of standard deviation.
Exit when momentum returns to its average.
"""
def __init__(self):
super(momentum_breakout_strategy, self).__init__()
# Initialize strategy parameters
self._momentum_period = self.Param("MomentumPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("Momentum Period", "Period for momentum calculation", "Strategy Parameters") \
.SetCanOptimize(True) \
.SetOptimize(10, 20, 2)
self._average_period = self.Param("AveragePeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Average Period", "Period for momentum average calculation", "Strategy Parameters") \
.SetCanOptimize(True) \
.SetOptimize(10, 30, 5)
self._multiplier = self.Param("Multiplier", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("StdDev Multiplier", "Standard deviation multiplier for entry", "Strategy Parameters") \
.SetCanOptimize(True) \
.SetOptimize(1.0, 3.0, 0.5)
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles to use", "Strategy Parameters")
# Indicators
self._momentum = None
self._momentum_average = None
self._momentum_stddev = None
self._current_momentum = None
self._momentum_avg_value = None
self._momentum_stddev_value = None
@property
def momentum_period(self):
"""Momentum period."""
return self._momentum_period.Value
@momentum_period.setter
def momentum_period(self, value):
self._momentum_period.Value = value
@property
def average_period(self):
"""Period for momentum average calculation."""
return self._average_period.Value
@average_period.setter
def average_period(self, value):
self._average_period.Value = value
@property
def multiplier(self):
"""Standard deviation multiplier for entry."""
return self._multiplier.Value
@multiplier.setter
def multiplier(self, value):
self._multiplier.Value = value
@property
def candle_type(self):
"""Type of candles to use."""
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(momentum_breakout_strategy, self).OnReseted()
self._current_momentum = None
self._momentum_avg_value = None
self._momentum_stddev_value = None
def OnStarted2(self, time):
"""Called when the strategy starts."""
super(momentum_breakout_strategy, self).OnStarted2(time)
# Create indicators
self._momentum = Momentum()
self._momentum.Length = self.momentum_period
self._momentum_average = SimpleMovingAverage()
self._momentum_average.Length = self.average_period
self._momentum_stddev = StandardDeviation()
self._momentum_stddev.Length = self.average_period
# Create candle subscription
subscription = self.SubscribeCandles(self.candle_type)
# Create processing chain
subscription.Bind(self._momentum, self.ProcessMomentum).Start()
# Setup chart visualization if available
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._momentum)
self.DrawOwnTrades(area)
# Enable position protection
self.StartProtection(
takeProfit=Unit(5, UnitTypes.Percent),
stopLoss=Unit(2, UnitTypes.Percent)
)
def ProcessMomentum(self, candle, momentum_value):
if candle.State != CandleStates.Finished:
return
# Store the current momentum value
self._current_momentum = momentum_value
# Process momentum through average and standard deviation indicators
avg_val = process_float(self._momentum_average, momentum_value, candle.ServerTime, candle.State == CandleStates.Finished)
std_val = process_float(self._momentum_stddev, momentum_value, candle.ServerTime, candle.State == CandleStates.Finished)
self._momentum_avg_value = float(avg_val)
self._momentum_stddev_value = float(std_val)
if not self._momentum_average.IsFormed or not self._momentum_stddev.IsFormed:
return
# Ensure we have all needed values
if self._current_momentum is None or self._momentum_avg_value is None or self._momentum_stddev_value is None:
return
# Calculate bands
upper_band = self._momentum_avg_value + self.multiplier * self._momentum_stddev_value
lower_band = self._momentum_avg_value - self.multiplier * self._momentum_stddev_value
self.LogInfo("Momentum: {0}, Avg: {1}, Upper: {2}, Lower: {3}".format(
self._current_momentum, self._momentum_avg_value, upper_band, lower_band))
# Entry logic - BREAKOUT only when flat (no exit logic in CS)
if self.Position == 0:
if self._current_momentum > upper_band:
self.BuyMarket()
elif self._current_momentum < lower_band:
self.SellMarket()
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return momentum_breakout_strategy()