| nibor100 1,099 posts
 msg #156563
 - Ignore nibor100
 | 4/11/2021 8:48:19 PM 
 I believe this is a correct conversion:
 Ed S.
 
 
 
 
 
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| Cheese 1,374 posts
 msg #156568
 - Ignore Cheese
 modified
 | 4/12/2021 9:22:01 AM 
 @nibor100
 Thank you very much, Ed S
 Cleaning up is a lot of work !
 
 
 
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| Cheese 1,374 posts
 msg #156768
 - Ignore Cheese
 modified
 | 5/9/2021 1:07:02 PM 
 @ Ed S nibor100
 
 I am writing this post because you are a respected member of this forum.
 I also understand that you are a mathematician (?)
 
 I don't have any proof, but I believe that we are seeing a partial disclosure of a research
 on breakouts using (quadratic) piecewise polynomial approximations. Outside of this forum,
 breakouts could mean to the upside and/or to the downside. The researcher may
 hypothesize that price data might follow some form of spline curve, cubic, or quadratic.
 Once the researcher could get a reliable y=f(x) at time t, then s/he could guess y at time t+1
 
 I think your solution posted above may not be 100% correct. A more careful review of the formula
 may suggest that the researcher was looking for a difference, not a ratio. Hence, the researcher's
 use of ABS.
 
 I think you may be best positioned to take this partial disclosure to a fruitful completion, or at least
 to the next level. I'm hoping that you will share your findings if you should gain more insights.
 
 Thank you, Ed.
 
 Best
 
 
 
 
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| nibor100 1,099 posts
 msg #156776
 - Ignore nibor100
 | 5/10/2021 5:26:12 PM 
 Cheese is correct, I missed one correction in my posted filter.
 
 My line
 
 set{var1, 10x9 / 235y10}
 
 should be changed to
 
 set{var1, 10x9 - 235y10}
 
 and the SF filter should work as the TC2000 PCF does.
 
 Sorry about that,
 Ed S.
 
 
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| Cheese 1,374 posts
 msg #156779
 - Ignore Cheese
 | 5/11/2021 10:02:54 AM 
 .@ Ed S nibor100
 THANK YOU so much Ed for your generous gift of time and talents.
 I've learned a lot from you.
 
 
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