Die Momentum-Divergenz-Strategie vergleicht Momentum-Werte mit der Preisrichtung, um frühe Anzeichen einer Umkehr zu erkennen. Divergenzen treten auf, wenn der Preis ein neues Extrem erreicht, der Momentum-Indikator dies jedoch nicht bestätigt, was auf nachlassende Stärke hindeutet.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 106%. Sie funktioniert am besten am Aktienmarkt.
Eine bullische Konfiguration entsteht, wenn der Preis ein tieferes Tief verzeichnet, während der Momentum-Oszillator ein höheres Tief ausgibt. Eine bärische Konfiguration bildet sich, wenn der Preis auf ein höheres Hoch schiebt, aber das Momentum nicht folgt. Positionen werden geschlossen, wenn das Momentum zurück durch null kreuzt oder die Divergenz ungültig wird.
Dieser Ansatz spricht Trader an, die Wendepunkte antizipieren möchten, anstatt Trends zu folgen. Stops werden verwendet, um das Risiko zu kontrollieren, falls der Markt weiter gegen das Divergenzsignal läuft.
Details
Einstiegskriterien:
Long: Preis macht tieferes Tief && Momentum zeigt höheres Tief
Short: Preis macht höheres Hoch && Momentum zeigt niedrigeres Hoch
Long/Short: Beide Seiten.
Ausstiegskriterien:
Long: Ausstieg, wenn Momentum unter null kreuzt
Short: Ausstieg, wenn Momentum über null kreuzt
Stops: Ja, fester Stop-Loss.
Standardwerte:
MomentumPeriod = 14
MaPeriod = 20
CandleType = TimeSpan.FromMinutes(5)
Filter:
Kategorie: Umkehr
Richtung: Beide
Indikatoren: Momentum
Stops: Ja
Komplexität: Mittel
Zeitrahmen: Intraday
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Ja
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 Divergence strategy.
/// Trades based on divergence between price and momentum.
/// </summary>
public class MomentumDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _momentumPeriodParam;
private readonly StrategyParam<int> _maPeriodParam;
private readonly StrategyParam<DataType> _candleTypeParam;
private Momentum _momentum;
private SimpleMovingAverage _sma;
private decimal _prevPrice;
private decimal _prevMomentum;
private decimal _currentPrice;
private decimal _currentMomentum;
/// <summary>
/// Momentum indicator period.
/// </summary>
public int MomentumPeriod
{
get => _momentumPeriodParam.Value;
set => _momentumPeriodParam.Value = value;
}
/// <summary>
/// Moving average period.
/// </summary>
public int MaPeriod
{
get => _maPeriodParam.Value;
set => _maPeriodParam.Value = value;
}
/// <summary>
/// Candle type for strategy.
/// </summary>
public DataType CandleType
{
get => _candleTypeParam.Value;
set => _candleTypeParam.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public MomentumDivergenceStrategy()
{
_momentumPeriodParam = Param(nameof(MomentumPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Momentum Period", "Period for Momentum indicator", "Parameters")
.SetOptimize(10, 30, 5);
_maPeriodParam = Param(nameof(MaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for Moving Average", "Parameters")
.SetOptimize(10, 50, 10);
_candleTypeParam = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type for strategy", "Common");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevPrice = 0;
_prevMomentum = 0;
_currentPrice = 0;
_currentMomentum = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicators
_momentum = new Momentum { Length = MomentumPeriod };
_sma = new SMA { Length = MaPeriod };
// Create subscription and bind indicators
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_momentum, _sma, ProcessCandle)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _momentum);
DrawIndicator(area, _sma);
DrawOwnTrades(area);
}
// Enable position protection
StartProtection(
takeProfit: new Unit(0, UnitTypes.Absolute), // No take profit
stopLoss: new Unit(2, UnitTypes.Percent) // 2% stop loss
);
}
private void ProcessCandle(ICandleMessage candle, decimal momentumValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Store previous values before updating current ones
_prevPrice = _currentPrice;
_prevMomentum = _currentMomentum;
// Update current values
_currentPrice = candle.ClosePrice;
_currentMomentum = momentumValue;
// Skip first candle after indicators become formed
if (_prevPrice == 0 || _prevMomentum == 0)
return;
// Detect bullish divergence (price makes lower low but momentum makes higher low)
bool bullishDivergence = _currentPrice < _prevPrice && _currentMomentum > _prevMomentum;
// Detect bearish divergence (price makes higher high but momentum makes lower high)
bool bearishDivergence = _currentPrice > _prevPrice && _currentMomentum < _prevMomentum;
// Trading signals
if (bullishDivergence && Position <= 0)
{
// Bullish divergence - buy signal
BuyMarket(Volume + Math.Abs(Position));
}
else if (bearishDivergence && Position >= 0)
{
// Bearish divergence - sell signal
SellMarket(Volume + Math.Abs(Position));
}
// Exit when price crosses MA in the opposite direction
else if (Position > 0 && candle.ClosePrice < smaValue)
{
// Exit long position
SellMarket(Position);
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
// Exit short position
BuyMarket(Math.Abs(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
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import Momentum, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class momentum_divergence_strategy(Strategy):
"""
Momentum Divergence: trades based on divergence between price and momentum.
"""
def __init__(self):
super(momentum_divergence_strategy, self).__init__()
self._momentum_period = self.Param("MomentumPeriod", 14).SetDisplay("Momentum Period", "Period for Momentum", "Parameters")
self._ma_period = self.Param("MaPeriod", 20).SetDisplay("MA Period", "Period for SMA", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Timeframe", "Common")
self._prev_price = 0.0
self._prev_momentum = 0.0
self._current_price = 0.0
self._current_momentum = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(momentum_divergence_strategy, self).OnReseted()
self._prev_price = 0.0
self._prev_momentum = 0.0
self._current_price = 0.0
self._current_momentum = 0.0
def OnStarted2(self, time):
super(momentum_divergence_strategy, self).OnStarted2(time)
mom = Momentum()
mom.Length = self._momentum_period.Value
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(mom, sma, self._process_candle).Start()
self.StartProtection(None, Unit(2, UnitTypes.Percent))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, mom)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, mom_val, sma_val):
if candle.State != CandleStates.Finished:
return
self._prev_price = self._current_price
self._prev_momentum = self._current_momentum
self._current_price = float(candle.ClosePrice)
self._current_momentum = float(mom_val)
if self._prev_price == 0 or self._prev_momentum == 0:
return
bullish_div = self._current_price < self._prev_price and self._current_momentum > self._prev_momentum
bearish_div = self._current_price > self._prev_price and self._current_momentum < self._prev_momentum
sma = float(sma_val)
if bullish_div and self.Position <= 0:
self.BuyMarket()
elif bearish_div and self.Position >= 0:
self.SellMarket()
elif self.Position > 0 and float(candle.ClosePrice) < sma:
self.SellMarket()
elif self.Position < 0 and float(candle.ClosePrice) > sma:
self.BuyMarket()
def CreateClone(self):
return momentum_divergence_strategy()