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Ethereum. P-Modeling Pt 3. Model A: Statistical Outlier #1This is Part 3 of Predictive Modeling for Ethereum. We started at Part 1: Find Model A. Then had Part 2, which explains some of the theory behind Model A and now we are on Part 3: Statistical Outlier #1. Each Model created in the Modeling Sequence, creates a geometricc pattern of indicators in various forms. These indicators can be read to PREDICT future trend movement many days 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.. So join me please. :) 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 and Ethereum 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. One i am quite enjoying.. My theoretical modeling technique called, 'geometricc linear regression modeling', is based off the neural networking algorithm I have been designing for my research in the realm outside this one. The foundation, rules and knowledge I use to make ALL my TA's, is based off of the human brain and its neural networking and of course clinical psychoanalysis. This is why my charts are fundamentally different and unique. I hope you enjoy them! This is a learning process for me as well.. I developed it from scratch, so everyday I am adding things, and figuring out new techniques. It has been very interesting to say the least at the accuracy I am achieving, and in less than a month. I expect my model algorithms to fail at some point. I need them too honestly. But they refuse to. So we wait.. and I will keep making these.. until we fail. failure = more growth. :) If you enjoy this shiz, go on and press that like button. Let me know! SHIZ about Statistical Outlier #1: I have two Outlier bounce boundary lines. I think we will no doubt touch the first line which is a modeled outlier zone. However, the second outlier is crucial we do not stay past it. If we stay past the 415 mark, we will have a Model sequence failure.. but we only have Model A so we would technically only have a model failure, but I really do not think this framework will fail just yet.. But I can always and have a good chance of being wrong.. But what if...? Ask yourself what if...what if he is right? Probably not.. But what fucking if.. :) As always, thanks for looking! Glitch420
BITFINEX:ETHUSD
by Glitch420
1
Bitcoin to C. P-Modeling Pt 20. Model L + Narrowing Path to C. This is Part 20 of my theoretical geometricc linear regression modeling from 3.22.18, "Bitcoin to C". The modeling sequence starts at Model A, and runs thru Model M. Model M 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.. 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 1.34% 13.88% -0.55% 2.03% and Ethereum 2.17% 12.38% -0.47% 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. One i am quite enjoying.. Chart Legend: Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Yellow Bubbles = Mainframe Markers Statistical Outliers = Emotions + and/or Market Manipulation. Green Flags = Geometricc Convergence Indicators Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE Solid Yellow Lines = Connects & Intercepts Dotted Yellow Lines = Future connects & Intercepts Green Symbols = Geo-Operators LOOK FOR THE BITCOIN 1.34% TO C. BUBBLE. Bitcoin to C, is within reach!.. Model M has been formed based on a a variety of foundation lines that go back as far as Model I. This is a big deal because it shows that the previous models and their geometry are working AS INTENDED. Using historical data geometry to predict future data geometry and trend. Bitcoin 1.34% to C. was created on 3.22.18 and was made to hit our goal zone of 9000-9200. I have kept to my goal since 3.22.18. Today it is 4.14.18. In that period of time we have rendered and successfully completed Model's A all the way to our current Model M. This has been an insane experimental journey. When i started this modeling algorithm, I had no idea it would be this effective. Nor did I have any idea, i would stumble on some very important indicators that are not in Traditional Technical Analysis . Watch closely. If you look at the lower boundary line of Model M, there is a massive space beneath it.. I am keeping a close eye on the LB statistical outlier #28 location because there is a lot of space beneath it that is still in the mainframe bounadry of the current operator. Many updates to this thread over the next few days.. come back for updates, if you care that is.. As always, thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
8
Bitcoin to C. P-Modeling Pt 19. Model L + Our goal in in view.. 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 L. Model L 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.. 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 13.88% -0.55% 2.03% and Ethereum 12.38% -0.47% 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. One i am quite enjoying.. Chart Legend: Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Yellow Bubbles = Mainframe Markers Statistical Outliers = Emotions + and/or Market Manipulation. Green Flags = Geometricc Convergence Indicators Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE Solid Yellow Lines = Connects & Intercepts Dotted Yellow Lines = Future connects & Intercepts Green Symbols = Geo-Operators LOOK FOR THE BITCOIN TO C. BUBBLE. Our goal is in plain view. Model L has been formed based on a a variety of foundation lines that go back as far as Model H. This is a big deal because it shows that the previous models and their geometry are working AS INTENDED. Using historical data geometry to predict future data geometry and trend. Bitcoin to C. was created on 3.22.18 and was made to hit our goal of reaching above 9200. I have kept to my goal since 3.22.18. Today it is 4.12.18. In that period of time we have rendered and successfully completed Model's A all the way to our current Model L. This has been an insane experimental journey. When i started this modeling algorithm, I had no idea it would be this effective. Nor did I have any idea, i would stumble on some very important indicators that are not in Traditional Technical Analysis. New Geo-Operator has been found and labeled. This operator is not connected to other geo-operators at this time, which indicates good geometric evidence that we will keep to the uptrend. We are clearly in recovery, and soon we will be on our way to new ATH's. If you enjoy what i am doing, lemme know! If you want to be critical. GO FOR IT. please.. you won't hurt my feelings. As always.. Thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
1
Ethereum. Predictive Modeling Pt 2. Model A TheoryThis is Part Two of applying my theoretical geometric linear regression modeling to Ethereum. Part One, looked at finding Model A. We have found Model A, and its rendering is now complete. We are following the designated correction wave for entry into Model A. Were we enter into Model A, will allow me to figure out the starting trajectory for Model B. Sequential Modeling begins with a foundation Model. In this case Model A is our foundation Model. All Models that are created after Model A, sequentially build off of one another. If a Model fails in the sequence, there are chain reaction like consequences that are unpredictable for the entire modeling sequence. Model A works by having a lower and upper boundary. These boundaries are guided by higher order algorithms in the data. I look for any order algorithm to find stable lower and upper boundaries. Once i find stable boundaries, I look for statistical outliers (i.e. emotion and market manipulation). Outliers are data that significantly fall outside those stable boundaries. All outliers must re-enter the Model the left in order to remain an outlier dedicated to that Model. Each Model has a predicted Statistical Outlier. Confidence in each rendered Model resides in subjective understanding of the current state of the market both behaviorally and logistically. In the grounding theory: "Belief (usually denoted Bel) measures the strength of the evidence in favor of a proposition p. It ranges from 0 (indicating no evidence) to 1 (denoting certainty). Plausibility is 1 minus the sum of the masses of all sets whose intersection with the hypothesis is empty. Or, it can be obtained as the sum of the masses of all sets whose intersection with the hypothesis is not empty. It is an upper bound on the possibility that the hypothesis could be true, i.e. it “could possibly be the true state of the system” up to that value, because there is only so much evidence that contradicts that hypothesis. Plausibility (denoted by Pl) is defined to be Pl(p) = 1 − Bel(~p). It also ranges from 0 to 1 and measures the extent to which evidence in favor of ~p leaves room for belief in p. For example, suppose we have a belief of 0.5 and a plausibility of 0.8 for a proposition, say “the trend will go up”. This means that we have evidence that allows us to state strongly that the proposition is true with a confidence of 0.5. However, the evidence contrary to that hypothesis (i.e. “we will go down”) only has a confidence of 0.2. The remaining mass of 0.3 (the gap between the 0.5 supporting evidence on the one hand, and the 0.2 contrary evidence on the other) is “indeterminate,” meaning that we can go either up or down (+/- statistical outliers). This interval represents the level of uncertainty based on the evidence in the modeling sequence. The plausibility of my Bel= 0.5 (Model A) and my proposition/prediction, 'the trend will go up' is P= 0.8. So i am saying Model A, will have a trend that goes up with a confidence of 80%, 20% being dedicated to the 'unknown'. The evidence of Model A is dictated by our foundation lines off of other algorithm orders, which are STRONG indicator s of truth, so we assign a level of confidence to my prediction. I now have subjective probability to support my belief, as long as i stay within my modeled rules and account for statistical outliers (uncertainty). I can now continue model sequencing, based on gathered subjected evidence to plausibly say my belief in Model (X) will result in prediction A or B with X uncertainty (+/- out). I then try to predict the location of uncertainty by using a best guess on where the Statistical outliers will occur, using geometric indicators. Anomalies can change this.. agree? Evidence: We have been in a downtrend for about 4 months. We have hit close to bottom. Lots of built up FOMO. World news about crypto. Big money is interested in low prices. Hope is returning. As always, thanks for looking! Glitch420
BITFINEX:ETHUSD
by Glitch420
Bitcoin to C. P-Modeling Pt 18. Model A-K The Geo-Operators.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 K. Model K 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 theoretical modeling interesting.. Let me know! Hate it..? well too bad. :) 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 -0.55% 2.03% and Ethereum -0.47% 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. One i am quite enjoying.. Chart Legend: Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Yellow Bubbles = Mainframe Markers Statistical Outliers = Emotions + and/or Market Manipulation. Green Flags = Geometricc Convergence Indicators Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE Solid Yellow Lines = Connects & Intercepts Dotted Yellow Lines = Future connects & Intercepts The Geo-Operators: The Geometric Operators, control the vectors of space within their boundary lines. Vectors boundary lines are formed by connects and intersects between rendered Models. There are a variety of Geo-Operators, and each one has unique 'master function'. Some GO's control Geo-Convergence vectors, others control Geo-Divergence Vectors, and some Operators control both. Geo-Operators are not the top of the food chain though.. But we will wait for much more data to occur before I explain further, don't wanna jump the gun here. .. :) Model K: is based off of a series of intersects and connects. It is probable that we may reach a new low. Ideally, we would want to re-enter Model J from Model K. Realistically, we may miss Model J and start rendering Model L. This is all hypothetical of course, based on my opinion and the confidence I have for myself.. Statistical outliers like emotions and market manipulation can create anomalies that NO model can predict for. So take all this with a grain of salt.. ;) As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
Bitcoin to C. Model A-J Predictive Modeling Pt 17. Model J 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
BITFINEX:BTCUSD
by Glitch420
2
Bitcoin to C. Model A-I. Predictive Modeling Pt 16. Suppression?This is a continuation thread of the theoretical geometricc linear regression from 3.22.18, "Bitcoin to C". The modeling sequence starts at; Model A, and runs thru Model I. Model I 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. 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.. If you like these 'Ideas' let me know! If you hate them. Let me know! 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, and understanding the human brain. This is part 16. 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 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 and ethereum 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 is unknown to me.. So, what do you see this 15 min chart? I see patterns and shapes and colors, Market Manipulation and Statistical Outliers, a MM suppression zone, geometric oscillations, and a big event coming soon.. I see connects, and intersects, convergence and divergent boundary lines, but what does it all mean?..What if I said half these constructs are made up by me, and the others are constructs known to the social world. Suppression is the idea of a battle, either artificial or human that consists of zone that has insane resistance between one another. Geometric oscillations are the pulse of a period time and it changes often; it is subjective to time. Well created theoretical construction hinges on the belief that you can coherently piece constructs together to create a multi-dimensional framework that builds off itself, with only small patch work. The operator has to know the foundational ins and outs of that framework in order to apply it. All frameworks that are created from scratch have to be build up on a stable foundation of knowledge, and re-tested for validity and patch work. No framework comes out the mind complete, so understand that. This is an incomplete framework being built as we go. Thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
1
Bitcoin to C. Models A-I Predictive Modeling Pt. 15 Rendering IThis 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
BITFINEX:BTCUSD
by Glitch420
1
Bitcoin to C. Model A-H. Predictive Modeling Pt 13. Model H.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 H is the newest Model. 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. 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 13. 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 G Green Flags = Geometricc Convergence Indicators (There are almost 20 of them so far). Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE I want to explain how I created Model H. First understand that Model A through Model G, was created based off of the preceding model. Model H is no different. Once i saw a geometric divergence in the background geometry, and it the widened. I knew it was possible we had reached bottom and were beginning our recovery.. Prediction Model C line boundary extended all the way to Model G. It was responsible for 13 convergence drops. It was a big deal to leave that line and stay above it. By staying above it the geometric indicators were fanning out (diverging) with no indication of converging geometry.. The geometry is based off of the lowest data point in the trend, and the best LINE OF FIT in the regression modeling. The 'line of fit' is simply the best line that fits between a set # of data points.. In this case, the data i am looking at are statistical outliers. So that is where i started my lower boundary Statistical Outlier #22 FOMO, I continue this method of placing lower boundary lines as more data appears.. (x over time). The boundary lines act as a background indicator, and by using the concepts of convergence and divergent vectors.. It seems by this field testing, that these geometric indicators should NOT be ignored. Model H.. Simple is a divergent vector of paths, that do not converge at any one point along the path of the current data trend. If we get a convergent lower boundary intersect with a older divergent boundary.. it has been consistent that a drop may occur. Likewise, if we have a convergent lower boundary that is intersecting a divergent boundary and the trend moves in such a way that now that convergent boundary makes no sense.. a simple test to see if a divergent boundary will fit better is used.. You must use the BEST LINE OF FIT in order to have high accuracy. Incorrect line regression, will yield incorrect geo-indicators. As always thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
7
Bitcoin to C. Model A-G. Predictive Modeling Pt. 12. FUD & FOMOThis 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 G. Model G is the newest Model. 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 and G. 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 12. Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. We are now at 20 Statistical Outliers. Green Flags = Geometricc Convergence Indicators (There are almost 20 of them so far). Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE I want you all to pay attention to statistical outliers.. These are patterns in the data that skew the line of fit for the geometric linear regression modeling that I use. Outliers are best understood as human emotions and/or market manipulation.. This is very important because; Fear, Uncertainty and Doubt (FUD).. and Fear of Missing Out (FOMO) are very well documented phenomena in cryptocurrency. The psychology of this phenomena is not well understood but a quick jab at the constructs, allow one to understand parts of this phenomena. In behavioral data collection in psychology, we document the observations made based on emotional responding to commands. (parameters given). If behavior or behavioral trends consistently occur outside the parameters given, this is noted.. and noted particularly as important because those parameters followed certain rules, rules that were maybe ignored.. or misunderstood or purposefully planned. As i am witnessing in the data collected from the Modeling sequences.. We follow micro and global patterns within the data.. Anytime we project outside the modeling cone, we are witnessing one of two phenomena occur. SO #1, is essentially emotional responding based on some news, event or arising situation that will negatively or positively effect a tokens price. Next we have, SO #2 which is purposeful market manipulation for a specific goal.. (usually to create FUD or FOMO).. These outliers.. can be behaviorally analyzed thru statistical means.. That is what i am attempting to do with my modeling design. I don't care about anything other then SO #1 and SO #2. If you measure the emotions and the manipulation.. You will accurately predict a trend.. This is what i am doing here.. Prediction of a trending token, based on Statistical Outliers using emotional and market manipulation as the foundation for my TA's. As always thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
9
Bitcoin to C. Model A-G Predictive Modeling Pt. 11This 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 G. Model G is the newest Model. 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 and G. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 11. Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. We are now at 20 Statistical Outliers. Green Flags = Geometricc Convergence Indicators (There are 13 of them so far). Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE I want you to pay CLOSE attention to the modeling sequence and the converging geometricc indicators that can be found NEXT TO A GREEN FLAG. What do you see across the modeling sequence?.. Look at the each flag.. What do they have in common?.. Each green flag marks a whole bunch of convergence vectors.. Each vector is made up of a boundary line between one data point and the regression of all the other data points; that either converges inward or diverges outward. Lines that converge INWARD.. lead to a PRICE DECREASE. Lines that diverge OUTWARD lead to a PRICE INCREASE. This is a big deal.. Because it is consistent across the entire Modeling Sequence.. A thru F. In any theoretical modeling framework, each Model must obey any rule that governs the modeling sequence. Right now, following this logic, Model G.. shows that we are headed back down. as we know have convergence vectors present as long as we stay within that Model C prediction line.. WE MUST HAVE AN OUTLIER OCCUR TO BLAST US THRU OR WE WILL SEE A TRIPLE BOTTOM. 85% drop 15% outlier blast off. Every outlier that has occurred in the A-F model sequence.. all 20 of them.. have all been DROPS out of the modeling cones.. none of them have been INCREASES. I think we may witness our FIRST statistical outlier blast out of MODEL G. This is what is playing out now.. from my perspective.. and how the chart is reading out with convergences showing prices drops and divergences showing price increases. Now we have a divergence in the geometricc indicators... This is a massive development, because we are at a intersection with Model C prediction line which was responsible for 8 massive drops.. however.. we keep being denied at the Model C line. WE MUST HAVE AN OUTLIER OCCUR TO ESCAPE MODEL G or we will fall. As always thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
2
Bitcoin to C. Model A-F. Predictive Modeling Pt.9 GeoconvergenceThis is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D, Model E and Model F.. 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 geometric 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 and F already. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 9. Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. We are now at 20 Statistical Outliers. Green Flags = Geometricc Convergence Indicators (There are 13 of them so far). Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE I want you to pay CLOSE attention to the modeling sequence and the converging geometricc indicators that can be found NEXT TO A GREEN FLAG. What do you see across the modeling sequence?.. Look at the each flag.. What do they have in common?.. Each green flag marks a whole bunch of convergence vectors.. Each vector is made up of a boundary line between one data point and the regression of all the other data points; that either converges inward or diverges outward. Lines that converge INWARD.. lead to a PRICE DROP. Lines that diverge OUTWARD lead to a PRICE RISE. This is a big deal.. Because it is consistent across the entire Modeling Sequence.. A thru F. In any theoretical modeling framework, each Model must obey any rule that governs the modeling sequence. Right now, following this logic, Model's D, E, and F converge at the same damn convergence vector.. Now if the rule of, Converging Geometricc Indicators = A drop... is true.. THEN... Model D, Model E, and Model F are a prerequisite for a big incoming drop in price... This is what is playing out now.. from my perspective.. and how the chart is reading out with convergences showing prices drops and divergences showing price increases. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
Bitcoin to C. Model A, B, C, D, E, F. Predictive Modeling Part 8This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D and now we have reached Model E.. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric pattern of indicators, that can be read to PREDICT future trend movement, before actual traditional indicators occur. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 8. In my personal opinion I think something big is about to happen. But i will most likely be wrong... but what if i am not.. Big institutional money should be entering the scene in the coming days.. prices are insanely low across the board.. Only the strong will survive! Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. 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 geometric 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 and Falready. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
1
Bitcoin to C. Model A, B, C, D, E. Prediction Modeling Part 7.This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D and now we have reached Model E.. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric pattern of indicators, that can be read to PREDICT future trend movement, before actual traditional indicators occur. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 7.. We are now incorporating AT THE END OF MODEL SEQUENCE LIMITS. This is a huge deal. This is make it or break it time. A sequence ending zone.. is a massive convergence point.. where all the models converge into one vector of space. This is the vector space we are in now.. All geometric indicators show massive upward motion in the background noise. Let us see if this holds true, or we have modeling sequence failure.. In my personal opinion I think something big is about to happen. But i will most likely be wrong... but what if i am not.. Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. 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 geometric 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 already. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
1
Bitcoin to C. Model D & E. Predictive Modeling Part 6This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D and now we have reached Model E.. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric pattern of indicators, that can be read to PREDICT future trend movement, before actual traditional indicators occur. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 6.. We are now incorporating a new model. Model E. Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. 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 geometric 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 E already. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
Bitcoin to C. Model D. Predictive Modeling Part 5This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at Model A, transitions to Model B, and transitions to Model C and now transitions to Model D. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric pattern of indicators, that can be read to PREDICT future trend movement, before actual traditional indicators occur. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 5, Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. 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 geometric 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 D already. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
Bitcoin to C. Model C + D. Predictive Modeling Part 2.This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at Model A, transitions to Model B, and transitions to Model C. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric pattern of indicators, that can be read to PREDICT future trend movement, before actual indicators occur. I have decided to explain each move I make regarding my theoretical modeling technique. 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 geometric 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 C already. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. As always thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
2
Bitcoin to C. Model C + Model D. Predictive Modeling?Hello Strangers, We are still in the midst of forming Model C. Later today, Model C may end and Model D may begin. I am using geometric linear regression modeling to make my charts. I have 0 experience in Technical Analysis. I am using a theoretical analysis based off of my personal research. Consider the chart as a very unique experiment that you all get to be apart of.. The geometry is indicating a nice movement forward after leaving some very intense boundary lines. Emotion has been ultra high. A mix between Hope + Disbelief + Confusion + Denial + Excitement. Modeling behavior is extremely hard. It is even harder when you are not observing the behavior directly like I do with my clients. I have to observe trends in the data sets and make some sense of out the behavior of geometric patterns given off by a 24/7 worldwide behavioral trend line; Cryptocurrency.. is a unique phenomena in behavioral research and psychological research due to the fact that the market can both influence and drive human behavior and consequences can occur as a result.. We are all here for another reason though.. and that is some type of reward.. We get something from being here.. Now what that may be will vary per individual.. Whether that is money... or interaction, or intellectual curiosity.. you reap a reward, but not without consequences; good or bad. My theoretical work is unique. My application of my theoretical work to crpyto is a grand experiment. One, in which is working out very interestingly and extremely surprisingly accurate.. I make these charts.. Based off of my understanding of sacred geometric shapes, statistical analyses (linear regression), and massive amounts of research on the brain and consciousness. Looking specifically for geometric patterns between neural networks in the brain. I study neural network modeling based on raw EEG data. There is a pattern in the trends you all look for with your TA's. Whatever tool you use.. it all is aiming to detect similar parameters in the data to find movement. I look for a data trend in neural networks. So i apply that to crpyto, and incorporate my perspective based strictly off of human behavior. PERIOD. Geometry + Behavior = Geometric Linear Regression. I am not trading off my modeling. Not yet at least. This is a way for me to become better at my research. This modeling is PREDICTIVE MODELING based off of behavior trends WITHIN the data set of bitcoin in particular. So join me for this experiment.. It is going to be a lot of fun.. I do have an ego. I like criticism.. and i am always willing to learn. Just do not doubt my abilities, when passion takes over.. Thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
1
Bitcoin to C. Model C is taking shape! Model A + B + C.This is a massive update to the continuation of thread, "BItcoin to C." that started 3.22.18. Model A was 100% accurate in predictions. Model B was 75% accurate in predictions. Model C is currently being modeled as we speak. Outliers = Emotion in the market. Last night we had statistically predictable emotion occur.. Before i went to bed, I said that we should have a statistical outlier occur, just outside the prediction zone of the beautiful bat that has emerged in the modeling.. And that is what is currently happening.. There were other plans in the background as we are seeing play out now.. So where do we go? A new model is forming quickly.. Model C. Model C prediction zone begins where Model B prediction zone ends. But we have more targets that need to be hit in order for Model A + Model B + New Model C to stay TRUE. H1=1 Alpha .05 Error in modeling sequence can occur at any time. Today will be an exciting day, as Model C is forming very well, prediction zones are staying true to the data's statistical outliers (emotions). Follow the emotions of the market.. They will lead the way to correct prediction forecasting. And that is what brings us here now.. A new pattern is emerging.. So stay tuned.. Model C is fully underway.. New geometric formations imminent.. This is so exciting to be using the same model since 3.22.18. This model is still statistically true. These models can not predict emotions in the market, but it can help predict the trend of emotions in the market. Emotions are the key to understanding patterns in this market. Plain and Simple, it is about the psychology of the human mind... But what the hell do I know?? I am a n00b at this stuff... This is only like my 5th day doing this.. Stay tuned! And of course.. If you like my crazy extreme chart making.. and the predictions that are coming from it.. Give a thumbs up..! lemme know what you think.. Got criticism? Bring it.. I love criticism and non-believers.. You are the fuel to my fire. So come pour some gasoline on the fire.. I challenge you. :) Have a great day. Updates coming soon!, Thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
Bitcoin to C. Model A & B still hold TRUE!!! DID NOT FAIL!This is a massive update to the continuation of thread, "BItcoin to C." that started 3.22.18. Model A was 100% accurate in predictions. Model B was 75% accurate in predictions. Outliers = Emotion in the market. This morning and last night we had A LOT OF EMOTION OCCUR. Everyone thought it was over.. And the low targets were indicated.. But there were other plans in the background as we are seeing play out now.. So where do we go? A new model is forming.. But we have more targets that need to be hit in order for Model A + Model B + Massive Outlier + New Model C to stay TRUE. H1=1 Alpha .05 Error in modeling sequence can occur at any time. Earlier I explained that Bitcoin to Zone C had failed. Model A and Model B, had run out of linear points to regress and we had fallen below the zone of predictability. (We exceeded the limits of the model, when we fell past this point. I had no idea where were we would go.. But low and behold.. A pattern began to emerge that I found in the lines, and i was very doubtful.. But then we began some weird drops and consolidations, and it was suspicious.. More lines began to form, and a track was formed.. I decided to find the outer limits of Model B and connected it to this new low we were in at that point. This was the boundary of the limits of Model B. The blast off path was EXTREMELY NARROW. but with all the slow consolidation + increase of FOMO + lots of demand = EXPLOSIONS.. And that is what brings us here now.. A new pattern is emerging.. So stay tuned.. The model IS STILL ALIVE. IT IS NOT DEAD. But what the hell do I know?? I am a n00b at this stuff... Either way! Updates coming soon that is for damn sure... Thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
12