OPEN-SOURCE SCRIPT
Diupdate 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).
Catatan Rilis
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
Catatan Rilis
Minor fix.Catatan Rilis
Minor fix to the seasonal_naive function.Skrip open-source
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.
Pernyataan Penyangkalan
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.
Skrip open-source
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.
Pernyataan Penyangkalan
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.