Fwd: Swiss Ephemeris

Peter Henry karlfx4 at gmail.com
Mon Apr 10 16:56:13 EDT 2017

Hi Deborah

Very few people would believe there is correlation between planetary cycles
and the stockmarket  however this is known to select few, for many years, I
can also visually see relationship on charts, however its hard to quantify


I'll forward the Excel addin later it works on Windows 7 and require
updating to Win10

The idea is to create a full and complete program in Python only, that
would import stock data, generate planetary coordinates, pre process train
then predict

I'll keep you updated


On 10 Apr 2017 9:10 p.m., "Deborah Swanson" <python at deborahswanson.net>

> Hi Peter,
> I would be interested in seeing your Excel addin with customized
> planetary settings. I'd be curious what these customizations would be,
> though if they look useful I'd more likely be scavenging the code to
> rewrite it in Python and add to what I already have, rather than using
> the addin in Excel. The only thing not quite right about what I have is
> the times, which are a smidge off. This could be due to planetary
> anomalies, so I definitely would like to look at it.
> I totally agree with all you said about Python and more. I didn't start
> out in Python looking to replace Excel or to migrate my planetary
> project to it, those things just happened along the way. But looking
> around to see what was new and what was better than anything I'd done
> before, Python was a natural choice.
> I'll have to say though that I don't share your enthusiasm for modeling
> the market with planetary relationships, indeed any mathematical
> modelling of the market can easily be overall wrong, and yet complex
> enough to engage the explorer endlessly.
> I've analyzed a couple of these schemes to draw that conclusion, though
> it's tentative at best. Obviously there are mathematical models of the
> market that do work, but I really don't know anything about them.
> In this case though, I don't see the connection between planetary
> configurations and a pure physical aspect of the market for them to
> engage with. And as you may recall from somewhere, to establish
> causality you must produce the causal link between the two sets of
> events you're attempting to correlate. No matter how stunning an array
> of coincidences might be, without producing the causal link you really
> don't have anything. This is a key error that many who do statistical
> analyses tend to overlook.
> I looked at your CSV, but I'm not sure what you would like to add to it,
> probably because I'm totally unfamiliar with this type of project.
> Best in your endeavors,
> Deborah
> Peter Henry wrote, on Monday, April 10, 2017 11:58 AM
> Hi Deborah,
> Thanks your reply and interest,
> A few years ago did create a Excel addin, that extracted planetary
> coordinates from the Swisseph source code and populated excel
> spreadsheet  This Marco addin had customized planetary settings of which
> was  useful
> Currently now learning to program in Python as it  is flexible, popular
> for machine learning and data science. The idea the planetary coordinate
> can help with timing stock commodity and Forex markets, as both freely
> trading markets and planetary  movement adhere to natural law
> Neural networks can also assist in extracting relationship information
> between markets and planetary positions.
> Whilst waiting for a solution  can you advise of an efficient way of
> producing a a CSV file similar to the file attached, only planetary data
> required
> Many thanks
> Peter
> On 10 April 2017 at 02:52, Deborah Swanson <python at deborahswanson.net>
> wrote:
> Peter Henry wrote, on Sunday, April 09, 2017 10:53 AM
> >
> > I have a package that has been altered to imported in to
> > python, however I tired to get is working but without success
> > I be missing something obvious
> >
> > The Swiss Ephemeris enable planetary coordinate  to be
> > imported and used in your program
> >
> > Files access https://pypi.python.org/pypi/pyswisseph
> >
> > Many thanks in advance
> >
> > Peter
> I've also worked on the problem of getting sweph into Python and have
> mostly struck out so far myself.
> I found one reliable means to get sweph's planetary data into Python,
> but it's more or less a cheat. Nonetheless, if you want to see how much
> good it does you, try the Swiss Ephemeris Test Page at
> http://www.astro.com/swisseph/swetest.htm. If you can successfully
> formulate a query useful to your purposes, you can download a csv of
> results, read it into Python, and work from there. Right now I'm working
> on converting some Excel spreadsheets and Excel VBA I use into Python
> and recoding it all, using the CSVs for jumping off points. That works
> pretty well, except the times from swetest are off a bit and I haven't
> figured out why. But I'm concentrating on getting all my VBA code ported
> to Python, and will go back to getting bang on data from sweph after I
> have my code done.
> The first thing I tried was to get sweph's C source code into a free
> IDE, but that whole project went down in flames. You can read bits and
> pieces of that misadventure at the tail end of the "Python application
> launcher (for Python code)" thread. I found sweph's C source code at
> some link off "Programming interface to the Swiss Ephemeris" at
> http://www.astro.com/swisseph/swephprg.htm (or maybe it was on
> http://www.astro.com/swisseph/swephinfo_e.htm - I can't easily find it
> now, but the download link is in one of those two pages somewhere.)
> Then I tried picking through sweph's C source code, attempting to
> manually reproduce the logic and the calculations in Python. That was a
> highly qualified semi-success because the times were still off, but it
> essentially produces the most basic planetary data. The swetest output
> CSVs were more complete however, and easy to read the planetary data
> into Python from, so I'd pretty much abandoned efforts to "translate"
> the C source code. And now, all my efforts to leverage the C source
> code. Even if successful it would be a lot more time sunk into working
> with a language other than Python, which I likely wouldn't have a use
> for after this project is completed.
> However, I have seen bits here and there on this list that are at least
> interesting. Tim Chase mentioned in passing that he encapsulated C
> source code in a class, which may bear looking into. Lutz Horn also gave
> a link for building a Python module to add a C language library to
> Python, which also might be worth checking out:
> https://docs.python.org/3/extending/index.html (I changed the 2 to a 3
> from the link he gave, but you can change it back to 2 if your working
> in a build of Python 2.)
> But many thanks for your pypi link to pyswisseph, which I will check
> out. I can reply to this thread after I give it a shot and tell you what
> I think of it. But like I said earlier, that won't be until all my Excel
> VBA code, which jumps off from the sweph bare planetary data, is ported
> to Python and working. Could be awhile yet. And if pyswisseph doesn't
> pan out, I'll likely work on refining the two methods I have for
> producing the planetary data, both of which are only lacking precisely
> accurate time data in my local time, and both are off by only 5-30
> minutes. I easily limped along for years with my Excel spread sheets
> using the swetest CSVs for input, even though my times then were more
> than a day off.
> Good luck! (and this venture is a goodly portion of luck...)
> Deborah
> PS. I've been using medical astrology to look ahead at my medical
> condition for years in advance. And being off by a day or so doesn't
> matter that much when you're looking at trends over the course of years
> and decades. I also have a little software widget to look at the
> planetary data in graphical chart form at any particular second, also
> based on sweph, which has been quite astoundingly accurate in following
> the rather complex kaleidoscope of my symptoms during the course of a
> day. (Though it doesn't do you a bit of good if you forget to look!
> Which is my entire motivation to get it encoded and available with a few
> clicks.) And it is quite useful to know in advance what will be
> happening when, and most importantly when it will stop. Knowledge is
> power!
> Caveat. This kind of precision and accuracy is only found in the
> specific forms of astrology which relate to pure physical phenomena, and
> most of what you see these days masquerading as astrology is pure hooey,
> almost entirely invented on  a large scale in the Middle Ages and
> flowered in the Renaissance. By pure physical phenomena, which is the
> only phenomena that is at least debatably influenced by physical
> planetary forces, I mean things like the moon's tides, sunspots, plant
> and animal activity throughout the year, and supremely, the inner
> workings of the human body, the first wholly Western medicine devised by
> the ancient Greeks. (The ancient Greek physicians are an excellent
> fallback if modern medicine is failing you - if you can find enough that
> remains today of their art.)

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