Stocks & Commodities V. 44:09 (24–26): Adaptive SuperSmoother by John F. Ehlers
Product Description
Adaptive SuperSmoother by John F. Ehlers
You can use the SuperSmoother filter instead of an exponential moving average for better filtering. Its critical period is tuned directly to make it adaptive. And since the SuperSmoother is coded here as a function, it is easy to implement.
There is a plethora of adaptive moving averages. Among them are KAMA, VIDYA, ALMA, the one-euro filter, and the alpha beta filter. I might even include the Kalman filter in this category ...
You can use the SuperSmoother filter instead of an exponential moving average for better filtering. Its critical period is tuned directly to make it adaptive. And since the SuperSmoother is coded here as a function, it is easy to implement.
There is a plethora of adaptive moving averages. Among them are KAMA, VIDYA, ALMA, the one-euro filter, and the alpha beta filter. I might even include the Kalman filter in this category ...
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