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()
版本注释: v2
limiting dominant output range from 1 ~ 34

Donate TRC20 USDT to below address, 5USDT per monthly sub, 50USDT per yearly sub: TNz84MjJTWUUUyQFpPNjaAU7J2SwhJJ7j9
Note: USDT_TRC20 deposits sent from decentralized exchanges are not yet supported.
Pine脚本库

本着真正的TradingView精神,作者将此Pine代码以开源脚本库发布,以便我们社区的其他Pine程序员可以重用它。向作者致敬!您可以私下或在其他开源出版物中使用此库,但在出版物中重用此代码受网站规则约束。

免责声明

这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其他类型的意见或建议。请在使用条款阅读更多信息。

想使用这个脚本库吗?

复制以下行并将其粘贴到您的脚本中。