OPEN-SOURCE SCRIPT
Actualizado Forecasting - Quadratic Regression
This script is written totally thanks to Alex Grover (tradingview.com/script/CDsPknAG-Quadratic-Regression/). Here it is implemented in conjunction with the seasonal forecast I showed in one of my previous posts. It takes the calculated QReg curve and extends its last section (Season) into the future (Forecasted periods).
Notas de prensa
Note:A quadratic regression is the process of finding the equation of the parabola that best fits a set of data. As a result, we get an equation of the form: y = ax^^2 + bx + c where a ≠ 0.
See: varsitytutors.com/hotmath/hotmath_help/topics/quadratic-regression
Notas de prensa
Minor fix.Notas de prensa
Minor fix to the seasonal_naive function.Script de código abierto
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Exención de responsabilidad
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.
Script de código abierto
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Exención de responsabilidad
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.