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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()
Release Notes
v2
limiting dominant output range from 1 ~ 34
blackcat1402
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blackcat1402ehlerstechindicator

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
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
Also on:

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.