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已更新 Polynomial-Regression-Fitted Oscillator [Loxx]

Polynomial-Regression-Fitted Oscillator [Loxx] is an oscillator that is calculated using Polynomial Regression Analysis. This is an extremely accurate and processor intensive oscillator.
What is Polynomial Regression?
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, polynomial regression is considered to be a special case of multiple linear regression .
Things to know
Included
Other indicators in this series using Polynomial Regression Analysis.
Poly Cycle
![Poly Cycle [Loxx]](https://s3.tradingview.com/y/ywjaMkyI_mid.png)
PA-Adaptive Polynomial Regression Fitted Moving Average [Loxx]
![PA-Adaptive Polynomial Regression Fitted Moving Average [Loxx]](https://s3.tradingview.com/x/xj9dbGma_mid.png)
What is Polynomial Regression?
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, polynomial regression is considered to be a special case of multiple linear regression .
Things to know
- You can select from 33 source types
- The source is smoothed before being injected into the Polynomial fitting algorithm, there are 35+ moving averages to choose from for smoothing
- This indicator is very processor heavy. so it will take some time load on the chart. Ideally the period input should allow for values from 1 to 200 or more, but due to processing restraints on Trading View, the max value is 80.
Included
- Alerts
- Signals
- Bar coloring
Other indicators in this series using Polynomial Regression Analysis.
Poly Cycle
![Poly Cycle [Loxx]](https://s3.tradingview.com/y/ywjaMkyI_mid.png)
PA-Adaptive Polynomial Regression Fitted Moving Average [Loxx]
![PA-Adaptive Polynomial Regression Fitted Moving Average [Loxx]](https://s3.tradingview.com/x/xj9dbGma_mid.png)
發行說明
Small update on Alerts.開源腳本
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這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。
開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
Public Telegram Group, t.me/algxtrading_public
VIP Membership Info: patreon.com/algxtrading/membership
VIP Membership Info: patreon.com/algxtrading/membership
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。