Andrew C. Hawkins
(Launched on 15 August 2013 (v1), last revised 19 August 2013 (v2))
Regression is the process of determining a best fit curve through a data set. This project uses quadratic polynomial regression to determine a polynomial that fits the data best. That polynomial is then solved for at the current time and plotted. This yields a close fit to the data with very high correlation. Extrapolations can be drawn from the polynomial that supports future price predictions. A visual aid was built into this project allowing a color change when either the value is increasing or decreasing or the line acts as support or resistance.
Comments: 1 source package, 2 figures
Subjects: Statistics, Econometrics
[v1] 15 August 2013
[v2] 19 August 2013