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In 600 pages the commander still hasn't grasped that going back to the mean is in no way dependent on the form of the increments.)
)))
He does not understand what a graph of distributions means.
In general I see, the kurtosis is reduced, tails are picked up ---> from Laplace to normal, from normal to uniform. Then what's at the beginning? Not Laplace? What? It is easily described by an exponent, if we take one side. These are the EURUSD window-monthly minutes.
I'd like to see the stats on the minutes... What's the excess there?
In the beginning, when I was working with pure ticks, there was no excess~3 and asymmetry~0. Ticks - to hell with it!
I'd like to see the statistics on the minutes... What's the excess there?
In the beginning, when I was working with pure ticks - there was no kurtosis~3 and asymmetry~0. Tics, screw it!
On the minutes.
This is the CLOSE increments of the EURUSD (two months), converted into pips.
In minutes
These are the CLOSE increments of the EURUSD minutes, converted to pips.
Pips. No options. Only Erlang flows can comfort me.
I'd like to see the statistics on the minutes... What's the excess there?
In the beginning, when I was working with pure tics - there was no excess~3 and asymmetry~0. Tics - fuck it!
well thank god! finally ;)))
Screw it. No choice. Only Erlang streams can comfort me.
running in circles... :(
I thought you'd gotten rid of it... but no...
Screw it. No choice. Only Erlang streams can comfort me.
So what's next? If the origin is unknown and what it affects, why isn't the law of large numbers enforced? There are more questions than answers.
Here are two more 60,000 minute files for research.
1 file of the increment of the transformed V.R.
2 file of incremental difference between the current and transformed series.
Here are two more 60,000 minute files for research.
1 file of incremental transformed V.R.
Here are two more 60,000 minute files for research.
2 file the incremental difference between the current row and the converted row.