[R] Statistical Analysis of an Exchange Rate

[Eric Berger]

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On Wed, Mar 4, 2020 at 9:38 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:

> Your question is way off topic here -- this list is for R programming
> questions, not statistical consulting. You might wish to try
> stats.stackexchange.com for the latter.
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Wed, Mar 4, 2020 at 10:58 AM spencer davis <causticfx88 using gmail.com>
> wrote:
>
> > So I've been researching statistical analysis for a considerable amount
> of
> > time and still haven't really found what I've been looking for and am
> > hoping that by getting help answering this question it will send me down
> > the right path to answering all of my questions. So I am hoping that
> > someone will be able to tell me how and what package I would need to do
> > what I'm about to describe. I want to take historical price data from 1
> > minute currency pair charts and find the probabilities of price moves
> after
> > a pullback immediately following an impulsive move. So I would have to
> set
> > the definition of an impulsive move as price moving a certain percentage
> in
> > a certain amount of time, I'd have to define a threshold as to what would
> > be considered a pullback and what wouldn't and then I'd like to gain the
> > information as to what the probability is of different percentage of
> moves
> > at different pullbacks, the different probabilities with different length
> > impulsive moves. Can anyone get me set on the right path here, I'm
> swimming
> > in information and am just so lost. Any help will be so much appreciated.
> > Thanks!
> >
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> >
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> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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