Stock Market Up Move for December 2019

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Look at it this way. Using number decimals to determine the mathematical number of 1/3, where does it end? It doesn't, it goes on to infinity. 1/3 cannot be determined "exactly" numerically.

That's a nice example, even a 5th grader like me understands!!

Time, degrees, geographics, and as someone points out, illumination... how far down the rabbit hole does it go. I'll continue to disagree... the exact time/place/degrees is repeatable.
 
He probably didn't see your post due to me blocking him. Feel free to copy your post to another thread that he still has the privilege of viewing. Actually, the cycle I shown on that thread was the 32 calendar year cycle. It is the 32 year calendar cycle that is the basis of what I started this thread about.

I found a site with a mention of a 32 lunar month being the correct solution. Unfortunately, it's old and many of the links are not valid.

http://www.bonniehill.net/pages/cycles.html#data
about 1/3 (lol) of the way down the page it has Delta Phenom stuff.
 
I found a site with a mention of a 32 lunar month being the correct solution. Unfortunately, it's old and many of the links are not valid.

http://www.bonniehill.net/pages/cycles.html#data
about 1/3 (lol) of the way down the page it has Delta Phenom stuff.
Yes, that's me. On other forums I have used the handle 4xis2ez. What you found there was when FXCM was an ongoing broker in the US. On dailyfx.com forum my handle was Howdyy.

Here is the link to free download of historical data. I think you have to sign up or login with Facebook or something like that.

https://www.dukascopy.com/swiss/english/marketwatch/historical/
 
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Here's my current 32 LM calendar. And the 96 LM also. I prefer the 96 lunar month time frame as it is a multiple of 32 and includes both the shorter and longer term cycles in the same solution.
 

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The paper that starts with Bayesian shows no difference in returns for the US.

bayesian_analysis_of_lunar_effects_on_stock_returns_liu.pdf has
Dichev and Janes (2001)
analyzed all the major US stock indices covering the last 100 years and nearly all the major
stock indices of 24 other countries covering the last 30 years. They discovered strong lunar
cycle effects in stock returns.
which refers to lunar_cycle_effects_in_stock_returns_dichev.pdf attached in my previous post and also
Particularly, Canada, Germany, the UK
and the US show significantly positive mean daily returns in the new moon period
 
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