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Quadratic Regression
A quadratic regression is the process of finding the equation that best fits a set of data.This form of regression is mainly used for smoothing data shaped like a parabola.
Because we can use short/midterm/longterm periods we can say that we use a Quadratic Least Squares Moving Average or a Moving Quadratic Regression.
Like the Linear Regression (LSMA) a Quadratic regression attempt to minimize the sum of squares (sum of the squared difference between a set of data and an estimator), this is why
those kinds of filters have low lag.
Here the difference between a Least Squared Moving Average (green) and a Quadratic Regression (red) of both period 500
Here it look like the Quadratic Regression have a best fit than the LSMA
Because we can use short/midterm/longterm periods we can say that we use a Quadratic Least Squares Moving Average or a Moving Quadratic Regression.
Like the Linear Regression (LSMA) a Quadratic regression attempt to minimize the sum of squares (sum of the squared difference between a set of data and an estimator), this is why
those kinds of filters have low lag.
Here the difference between a Least Squared Moving Average (green) and a Quadratic Regression (red) of both period 500
Here it look like the Quadratic Regression have a best fit than the LSMA
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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。
Check out the indicators we are making at luxalgo: tradingview.com/u/LuxAlgo/
"My heart is so loud that I can't hear the fireworks"
"My heart is so loud that I can't hear the fireworks"
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。