VOL S&P 500. P-Modeling Pt 3. Trials of Theory Unification
Updated
This is a continuation post of PT 2. Please Start here.. 
The only changes from PT 2 into PT 3. is a shift of the fractals, and satisfaction of wave 5.
Over the couple years, I have successfully developed a variety of theoretical frameworks and have successfully unified one old school (unfinished) principle of wave theory by conjoining them into the same methodology protocol.
Theory 1: Geometric Linear Regression Modeling (GLRM) - A skeleton protocol of String Theory Linear Dynamics and Quantum Loop Spin Networks.
Theory 2: Elliot Wave Principle (EWP) - A unfinished protocol in classical wave theory of 2D analogs.
Theory 3: Geometric Shadow Fractal Mapping Protocol (GSFMP)- A skeleton protocol of String Theory Linear Dynamics and Quantum Loop Spin Networks
The OP presents TWO NEW theories.
Theory 1 & Theory 3 are authored by the OP to advance the pool of knowledge in Bio-Computational Prediction Modeling Protocols (BC-PMP).
-Currently Theory 1, Geometric Linear Regression Modeling is used in experimental quantum based EEG brain mapping protocols by the OP in Neuro-Imaging Case Studies and in a plethora of 2D analog entropies of quantum derived Neural Networks.
GLRM decodes the brains functional connectivity using String Theory and Quantum Loop Theory threads.
-Currently Theory 3, Geometric Fractal Shadow Mapping Protocol is used in experimental 3D graphical renderings to decode Quantum Waves using Quantum Loop Spin Networks.
The Old School Theory
Theory 2 is authored by the well known Ralph Nelson Elliot in 1938.
The Elliot Wave Principle is unfinished work. Of course this is my opinion. As a theorist, who aims to architect my own foundation theories. I am convinced Elliot Wave Principle is an unfinished theory because of the lack of understanding of Quantum Physics and advances to Quantum/Classical Wave Theory in the 21st century.
This is where I hope to make a difference.
My theories in development and in-process for publication for peer review seeks to close the gap, by presenting a Unifying Prediction Modeling Protocol for a variety of domains including:
Physics, Psychology, Philosophy, Logic, Neuroscience, Mathematics, Theoretical Statistics, Theoretical Experimentation and Research Design, and of course Quantum Mechanics
The point of a Unifying Prediction Modeling Protocol is to create a new way to diagnose mental illness/pathology by creating a neural-data - pool of brains that have been fully mapped and decoded based upon my designed protocols in Wave Function in Mental-Specific Pathological criterion.
Basically, I hook an EEG to your head and decode your brain in real-time and using your brain data, and those from around the world. Compare your brains waves to others who have confirmed diagnosis of pathology. This will render a new era in mental diagnostics by using real brain data, A.I. neural network optimization protocols for comparison, blockchain data pools, and open source software to shift a new paradigm in mental health.
I am here today to explain that this research has come extraordinarily far over the last few years in a plethora of domains. This post is a second trial and experimentation of the 3 theories and its continuation.
I am unsure as to where this experiment will go. But i wanted you to be apart of it as we go.
Technical Analysis has not changed much since the 1980s.
When theory sits idle for this long, someone is bound to find new threads in advancing the theory or even designing new theory for application.
Trial and Error is a hallmark feature of the scientific method.
This is my now my second trial. You may be in disbelief. But when a paradigm is getting ready to shift.. The mainstream usually takes the presented new evidence as fake news, disbelief and sometimes even anger; that you dare suggest a new way of doing things.
1. Elliot Wave Principle is a application of classical wave theory minus quantum wave theory applied to classical ecosystems.
2. Geometric Linear Regression Modeling is quantum wave theory without classical wave theory applied to linear ecosystems.
3. Geometric Shadow Fractal Mapping Protocol is quantum wave theory applied to quantum entropy based ecosystems using superposition.
Combining all three, satisfies application of the postulated claim of classical wave theory + quantum wave theory, residing in quantum entropy based ecosystems.
Each theory effectively overlaps the missing literature in each others knowledge pool. This is why the unification is so important. Each theory fills a missing component of the other.
Find the Geometric Root Wave. - Start.
Notice how each Elliot Wave corresponds to a geometric linear boundary intersect vectors.
Each EW impulse has an increasing number of boundary intersects. Do not ignore this.. Each intersect is a complex confluence of linear boundary lines.
In the analog both classical waves and quantum waves are present. We have to abide by classical/quantum wave functionality laws.
A very interesting thing I noticed when people apply EWP is that they have NO supporting geometric vector boundary intersects. Sometimes EW is satisfied by invisible vector points in the matrix space. This is a problem for many EW applications, as it is my belief that unless you decode the invisible vectors, only can not place correct waves. When one draws the geometric representation of the data, you notice vectors of space that has linear confluence depicted by linear intersects. These intersects are not random but have geometric statistical application and propositional power that is FOR or AGAINST your potential proposition.
Ideally, after a fast upward motion depicted by all the red circles, downward movement is almost a must based upon starting a new fractal sequence trend, which are numbered accordingly. Match the fractals. The choosing of fractal 3 is based upon the geometric linear representation that subjectively fits the narrative.
Volatility should head towards new ATL's. Modeled between the 11.1 and 7.9 range.. This means the S&P should go up to ATH. I have a target of 3200, with blow off top at 3400. Then proceed to enter a deep recession with the fall of US bonds and the USD.
Elliot Wave 5 was satisfied by shadow sequence.
Shadow Seq is valid from the ending EW 5, IF we played the full sequence outright from the Shadow Wave vector amplitude across the actualized hyperspace. We did indeed have a perfect shadow match without amplification alteration to the fractal.
Let's see how it plays out.. yea? Chances are I missed something important, but i have a great feeling I am getting very close to a variety of validates that will be hard to ignore. Laugh with me into madness my friends, the future is bright.
Give a like, and follow along to see where we go! Cheers!
Thanks for pondering the unknown with me,
Glitch420
The only changes from PT 2 into PT 3. is a shift of the fractals, and satisfaction of wave 5.
Over the couple years, I have successfully developed a variety of theoretical frameworks and have successfully unified one old school (unfinished) principle of wave theory by conjoining them into the same methodology protocol.
Theory 1: Geometric Linear Regression Modeling (GLRM) - A skeleton protocol of String Theory Linear Dynamics and Quantum Loop Spin Networks.
Theory 2: Elliot Wave Principle (EWP) - A unfinished protocol in classical wave theory of 2D analogs.
Theory 3: Geometric Shadow Fractal Mapping Protocol (GSFMP)- A skeleton protocol of String Theory Linear Dynamics and Quantum Loop Spin Networks
The OP presents TWO NEW theories.
Theory 1 & Theory 3 are authored by the OP to advance the pool of knowledge in Bio-Computational Prediction Modeling Protocols (BC-PMP).
-Currently Theory 1, Geometric Linear Regression Modeling is used in experimental quantum based EEG brain mapping protocols by the OP in Neuro-Imaging Case Studies and in a plethora of 2D analog entropies of quantum derived Neural Networks.
GLRM decodes the brains functional connectivity using String Theory and Quantum Loop Theory threads.
-Currently Theory 3, Geometric Fractal Shadow Mapping Protocol is used in experimental 3D graphical renderings to decode Quantum Waves using Quantum Loop Spin Networks.
The Old School Theory
Theory 2 is authored by the well known Ralph Nelson Elliot in 1938.
The Elliot Wave Principle is unfinished work. Of course this is my opinion. As a theorist, who aims to architect my own foundation theories. I am convinced Elliot Wave Principle is an unfinished theory because of the lack of understanding of Quantum Physics and advances to Quantum/Classical Wave Theory in the 21st century.
This is where I hope to make a difference.
My theories in development and in-process for publication for peer review seeks to close the gap, by presenting a Unifying Prediction Modeling Protocol for a variety of domains including:
Physics, Psychology, Philosophy, Logic, Neuroscience, Mathematics, Theoretical Statistics, Theoretical Experimentation and Research Design, and of course Quantum Mechanics
The point of a Unifying Prediction Modeling Protocol is to create a new way to diagnose mental illness/pathology by creating a neural-data - pool of brains that have been fully mapped and decoded based upon my designed protocols in Wave Function in Mental-Specific Pathological criterion.
Basically, I hook an EEG to your head and decode your brain in real-time and using your brain data, and those from around the world. Compare your brains waves to others who have confirmed diagnosis of pathology. This will render a new era in mental diagnostics by using real brain data, A.I. neural network optimization protocols for comparison, blockchain data pools, and open source software to shift a new paradigm in mental health.
I am here today to explain that this research has come extraordinarily far over the last few years in a plethora of domains. This post is a second trial and experimentation of the 3 theories and its continuation.
I am unsure as to where this experiment will go. But i wanted you to be apart of it as we go.
Technical Analysis has not changed much since the 1980s.
When theory sits idle for this long, someone is bound to find new threads in advancing the theory or even designing new theory for application.
Trial and Error is a hallmark feature of the scientific method.
This is my now my second trial. You may be in disbelief. But when a paradigm is getting ready to shift.. The mainstream usually takes the presented new evidence as fake news, disbelief and sometimes even anger; that you dare suggest a new way of doing things.
1. Elliot Wave Principle is a application of classical wave theory minus quantum wave theory applied to classical ecosystems.
2. Geometric Linear Regression Modeling is quantum wave theory without classical wave theory applied to linear ecosystems.
3. Geometric Shadow Fractal Mapping Protocol is quantum wave theory applied to quantum entropy based ecosystems using superposition.
Combining all three, satisfies application of the postulated claim of classical wave theory + quantum wave theory, residing in quantum entropy based ecosystems.
Each theory effectively overlaps the missing literature in each others knowledge pool. This is why the unification is so important. Each theory fills a missing component of the other.
Find the Geometric Root Wave. - Start.
Notice how each Elliot Wave corresponds to a geometric linear boundary intersect vectors.
Each EW impulse has an increasing number of boundary intersects. Do not ignore this.. Each intersect is a complex confluence of linear boundary lines.
In the analog both classical waves and quantum waves are present. We have to abide by classical/quantum wave functionality laws.
A very interesting thing I noticed when people apply EWP is that they have NO supporting geometric vector boundary intersects. Sometimes EW is satisfied by invisible vector points in the matrix space. This is a problem for many EW applications, as it is my belief that unless you decode the invisible vectors, only can not place correct waves. When one draws the geometric representation of the data, you notice vectors of space that has linear confluence depicted by linear intersects. These intersects are not random but have geometric statistical application and propositional power that is FOR or AGAINST your potential proposition.
Ideally, after a fast upward motion depicted by all the red circles, downward movement is almost a must based upon starting a new fractal sequence trend, which are numbered accordingly. Match the fractals. The choosing of fractal 3 is based upon the geometric linear representation that subjectively fits the narrative.
Volatility should head towards new ATL's. Modeled between the 11.1 and 7.9 range.. This means the S&P should go up to ATH. I have a target of 3200, with blow off top at 3400. Then proceed to enter a deep recession with the fall of US bonds and the USD.
Elliot Wave 5 was satisfied by shadow sequence.
Shadow Seq is valid from the ending EW 5, IF we played the full sequence outright from the Shadow Wave vector amplitude across the actualized hyperspace. We did indeed have a perfect shadow match without amplification alteration to the fractal.
Let's see how it plays out.. yea? Chances are I missed something important, but i have a great feeling I am getting very close to a variety of validates that will be hard to ignore. Laugh with me into madness my friends, the future is bright.
Give a like, and follow along to see where we go! Cheers!
Thanks for pondering the unknown with me,
Glitch420
Note
This snapshot was taken OCT 14, yesterday. When VIX was at 14.57.Trade active
Trades are now active. This is the most current snapshot. VIX is at 13.54. We should reach about 11 on this straight shot. If this was to play accordingly. Note
Depth of SEQ #3 is still a mystery at this time, but that bottom pink line is the median. So we should land with some depth just about that bottom pink line where the #3 is.Trade active
Trade active
Straight down towards 10.6 Trade active
Trade active
Trade active
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.