Bitcoin to C. Model A-J Predictive Modeling Pt 17. Model J

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This is a continuation thread of the theoretical geometricc linear regression modeling from 3.22.18, "Bitcoin to C". The modeling sequence starts at Model A, and runs thru Model J. Model J is the newest Model. Each model is strictly built off of the preceding model's geometricc regression points. The regression points from each model, creates a geometricc pattern of indicators in various forms, that can be read to PREDICT future trend movement, before traditional indicators appear.

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.. If you find this style of charting interesting.. Let me know!

Understand the application of my modeling technique is not traditional by any means. It is theoretical in nature, and 100% experimentally designed and applied by me as we continue this insane experiment day after day.. It was not built for financial analysis, at all. I have literally 0 background in trading, TA's or anything to do with accounting or the stock market. It is being applied, through intuitive and creative means for fun so I could keep up with Bitcoin 2.03% and Ethereum 3.69% personally, and invest for myself.. I promise I will make many mistakes making these non-traditional TA's, or even incorrectly use traditional tools and indicators. That is the fun of it, to learn from scratch and apply another idea to a realm unknown to you. This realm is an unknown to me. A knowledge acquisition process.

Chart Legend:

Red Bubbles = the past.
Blue Bubbles = Now + the predicted future.
Statistical Outliers = Emotions + and/or Market Manipulation.
Green Flags = Geometricc Convergence Indicators
Converging Geometricc indicators = DROP
Diverging Geometricc indicators = RISE

Model J has been in the process of rending and I feel it is almost complete; if not fully complete. Model J mimics Model H in rendering a predictive projection cone. The trajectory of Model J is interesting, it points to a starting recovery phase of bitcoin 2.03% . Model H has the same trajectory but Statistical Outlier #23 dragged that down into a suppression zone, which turned into Model I due to geometric orthogonality and coherence.

A suppression zone is a zone in which market manipulation is in FULL control by some entity(s). Whether that manipulation is by coded trading bots, or by collaborating humans. Suppression was noted throughout the entire span of Model I. The sine line acts as the heartbeat of a particular trend, this heartbeat changes frequency every so often due to a variety of variables that I am still teasing out. The sine line oscillations, acts as a synchronizing feature for trading bots. How is that possible you ask? Synchronized trading bots? Automated trading, suppression and manipulation? It is def real, and big variable to tease out when trying to separate what is artificial and what is human. But nonetheless, there is a huge difference in the data put out by Bots vs. humans. Emotions are outliers..

My research deals with theoretically teasing out different variables, to find functional communication trends in neural network models between the plethora of interconnected neural circuits to decode functional connectivity between these circuits.. I use the same strategy here to tease out anomalous data usually missed in the micro-global trend that i do in my neural modeling. It is not easy. It is very complex and theoretical in nature and very difficult IF you do not know the geometricc algorithms that decode the patterns in the geometricc indicators. The solution is so simple, yet so intricately complex.

Thanks for being open minded,
Glitch420

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A closer look.

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We can not enter that zone of suppression. We must stay to Model J.

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oh man not good..

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So i have discovered a geometric operator, i can not discuss what it means yet, as it is premature. Bit is something to note. See above ^.

As you can see Model J had an outlier which makes this statistical outlier #24.
In order for outlier to stay true, we must re-enter Model J. This rule has stayed consistent in every statistical outlier. All outliers must re-enter the modeled zone to be considered outliers. The modeled zone is nothing but a zone in which a data point his or misses. 1 or 0 is the value. Data point in box = 1. Data point outside box = 0. All true models contain 1's and 0's but each outlier that is a value of 0 must enter and exit a model at the intercept of a value of 1.

If that makes any sense.. it may not..

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we are re-entering Model J from outlier.

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WOAH. I found a geometric operator! This is a massive deal. I will explain in my next idea.

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Take a step back and look outside the box. When others demand conformity, you should demand individualization. If everyone stays inside the box, they can never see who pulls the strings of the box they are in. Those that think outside the box, see the string pullers in the through all the noise.

Do you see what i see?