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 алгоритмов1 библиотек
Сеть алгоритмов
Как алгоритмы Моментум связаны между библиотеками
📈Momentum
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vn.py1 algos
DoubleMaStrategybeginner
Конвейер торговых решений
Как алгоритмы Моментум работают вместе в торговой системе
1
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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
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Trend Entry
Ride the momentum
Fast MA crosses above slow MA
Price above 200-period MA
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Momentum Exit
Trend exhaustion detection
MA crossover reversal
Momentum divergence
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Chop Filter
Avoid ranging markets
ADX < 20 = no trade
Volatility regime check
Сложность:
vn.py
DoubleMaStrategy
vn.py
Моментумbeginner
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. Ключевые параметры: fast_window (Fast MA period), slow_window (Slow MA period).Источник: https://github.com/vnpy/vnpy_ctastrategy.