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If we calculate the variance as a slope of the regression line, then the small value of this dodgy variance will indicate the value of the kotir close to the straight line, imho it is a very good predictor. If we divide the angle of regression by the dodgy dispersion this indicator will show that the market is not efficient, prices go in one direction, to trade on the news searching for trends.
If we calculate the variance as a slope of the regression line, then the small value of this dodgy variance will indicate the value of the quotient close to the straight line, imho it is a very good predictor. If we divide the angle of regression by the dodgy variance then this indicator will talk about the inefficiency of the market, prices go in one direction, to trade on the news looking for trends.
did that
Here, I dug on the Internet - a ready-made quantile regression on Matlab, the Frisch-Newton (polynomial) method.
Working.
Here, I dug around on the Internet - a ready-made quantile regression on Matlab, the Frisch-Newton (polynomial) method.
Cubic regression.
Three samples. Graphical representation.
Cubic regression.
Three samples. Graphical representation.
Doesn't anyone else have any ideas?
I'll show you a picture soon, it's interesting - some of my assumptions are confirmed.