This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, and runs thru Model H. Model I is the newest Model being rendered currently.. Each model is strictly built off of the preceding models geometricc regression points. The regression points from each model, creates a geometricc pattern of indicators, that can be read to PREDICT future trend movement, before actual traditional indicators occur.
I am going to try my best to explain, as we go... There will be lots of bubbles with text, explaining each move and why.. and how i make prediction cones, and patterns using geometricc boundary lines and regression modeling. This is A FULLY EXPERIMENTAL MODEL. Take it for what it is worth. I will continue to make these charts regardless of comments or jabs. They are made for a specific purpose and until my purpose is fulfilled, they will keep being made.
The idea here is to convince you, that what i am doing is not arbitrary but unique and useful. I know the immediate inclination is to doubt what I am doing. That is expected.. and understandable.. But human nature is unpredictable. And you never know when you can learn new things and be completely shocked at someones EXTREMELY insane ideas.. I like going against the norm.. being different is what makes you stand out.. So stand out from the rest.
So, watch what I do.. Ask questions, I will try my best to answer them.. if you are confused on how I got to Model A, B, C, D, E, F, G, H, I. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 115.
Red Bubbles = the past.
Blue Bubbles = Now + the predicted future.
Statistical Outliers = Emotions + and/or Market Manipulation. We are now at 22 Statistical Outliers from Model A thru Model H
Green Flags = Geometricc Convergence Indicators (There are over 20 of them so far).
Converging Geometricc indicators = DROP
Diverging Geometricc indicators = RISE
Model H was just under 100% accurate with its prediction cone. As it neared the end of its limits, i began piece together the new model. As of this moment, it is still rendering as we get more data.. But i am pretty sure the highlighted zone will become Model I very shortly. Now enters a new piece to the puzzle, a global geometric indicator has appeared. What this indicator means, i have no idea right now. But it is significant it seems, as it coincides with a global pattern indicator. What i am doing here is microstate modeling, another component to this geometric linear regression modeling is finding a global pattern algorithm, in order to have a coherent microstate algorithm. The Global line intersect with the Model I will be something to watch for as we continue thru the sequenced prediction models.
Of course any of this can fail at any time.. I thought it would fail days and days ago, but here we are today.. rendering Model I... This whole experience has been quite humbling, and i have learned a great deal about a variety of subjects.. So thank you all. If you are enjoying these 'ideas' and agree, lemme know. Criticism is welcome and expected.. but kindness is king in this land.
Updates will follow as we move along here.. Be sure to come back for updates, if you give a shit.. I don't expect you to. But IF you do.. I give a shit as well..
Thanks for looking!
Glitch420