Kalman Signal

Dear traders and all who like to watch markets,
You know me as a ChebyshevTrendPro app developer. As you know the method is very usable for trending and it was further developed to show trade signals. But because of curve dynamic nature signals are redrawn and sometimes disappeared and even changed their direction. The Supersignal method was developed then to increase succesfull trade probability.

However I'm continuously in process of good trending methods search. And I had took a look at Kalman Filter. Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces estimates of unknown variables that tend to be more precise than those based on a single measurement alone. More formally, the Kalman filter operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state. The filter is named for Rudolf (Rudy) E. Kalman, one of the primary developers of its theory.

So the method should smooth much more better than traditional moving average. And it is almost not redrawn.

Now you can try it for absolutely free during 30 days. Than you could decide is the method suitable for you or not.

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