nibor100
1,043 posts
msg #156563
- Ignore nibor100 |
4/11/2021 8:48:19 PM
I believe this is a correct conversion:
Ed S.
|
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 !
|
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
|
nibor100
1,043 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.
|
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.
|