Momentum strategies capture the continuation of existing price trends by buying assets with strong recent performance and selling weak performers. These strategies ride the wave of market trends until momentum shows signs of exhaustion.
1 algoritmi1 librerie
Rete di algoritmi
Come gli algoritmi Momentum si connettono tra le librerie
📈Momentum
🔧
vn.py1 algos
DoubleMaStrategybeginner
Pipeline di decisione di trading
Come gli algoritmi Momentum lavorano insieme in un sistema di trading
1
📊
Trend Detection
Momentum measurement
Moving average slope
Rate of change (ROC)
2
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Momentum Strength
Trend conviction level
ADX > 25 (strong trend)
Volume confirmation
3
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Trend Entry
Ride the momentum
Fast MA crosses above slow MA
Price above 200-period MA
4
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Momentum Exit
Trend exhaustion detection
MA crossover reversal
Momentum divergence
5
🛡️
Chop Filter
Avoid ranging markets
ADX < 20 = no trade
Volatility regime check
Complessità:
vn.py
DoubleMaStrategy
vn.py
Momentumbeginner
Classic dual moving average crossover strategy going long on golden cross, short on death cross.
Classic dual moving average crossover strategy going long on golden cross, short on death cross. Parametri chiave: fast_window (Fast MA period), slow_window (Slow MA period).Sorgente: https://github.com/vnpy/vnpy_ctastrategy.