dc_ta

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()

Nota Keluaran

v2
limiting dominant output range from 1 ~ 34

Perpustakaan Pine

In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.

blackcat1402

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Penafian

Maklumat dan penerbitan adalah tidak dimaksudkan untuk menjadi, dan tidak membentuk, nasihat untuk kewangan, pelaburan, perdagangan dan jenis-jenis lain atau cadangan yang dibekalkan atau disahkan oleh TradingView. Baca dengan lebih lanjut di Terma Penggunaan.

Perpustakaan Pine

blackcat1402

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