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dc_ta

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Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters", the dominant cycle tuned indicators are one of them which are based on J.F.Ehlers theory. Here is a collections of algorithms to calculate dominant cycles. ENJOY!

Library "dc_ta"

bton()

EhlersHoDyDC()

EhlersPhAcDC()

EhlersDuDiDC()

EhlersCycPer()

EhlersCycPer2()

EhlersBPZC()

EhlersAutoPer()

EhlersHoDyDCE()

EhlersPhAcDCE()

EhlersDuDiDCE()

EhlersDFTDC()

EhlersDFTDC2()
Notas de Lançamento
v2
limiting dominant output range from 1 ~ 34
blackcat1402
Don't miss out! The first and most important thing to do is to join my Discord chat now! Click here to start your adventure: discord.com/invite/ZTGpQJq My new github for more pine development soon: github.com/wxt-coder
Também em:
blackcat1402ehlerstechindicator

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As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.
blackcat1402ehlerstechindicator
blackcat1402
Don't miss out! The first and most important thing to do is to join my Discord chat now! Click here to start your adventure: discord.com/invite/ZTGpQJq My new github for more pine development soon: github.com/wxt-coder
Também em:

Aviso legal

As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.