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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
Bitcoin to C. MONDAY = Blastoff?This is a continuation of the last 48 hours of linear regression modeling that I have created myself from scratch... You can find the related charts of how we got here in the 'Related Ideas Links'. Please see links if confused on how we got here.. Basically, we have created another inverse HS pattern and that pattern should end Monday sometime.. Everything so far in the geometric regression model was accurate almost to the T, which is how was it was designed..I did not do it.. It did it it self.. and this is going on my third day making charts, and reading this type of data; so don't me to seriously.. It is really fun I have to say.. Making this all up as i go along.. or am i..? WHO KNOWS. I sure do not.. We don't know anything as humans, honestly.. Are ability to predict is restricted by the limits of our imagination. We are all just guessing anyways.. Are we not? Outlined in red are events that have occurred, and outlined in blue are events that should occur in the future. Going forward.. This will be the color differentiation of explaining my model to you all as we go. Statistical Outliers Predict Movement it seems.. Remember this.. We must follow the geometry... It is the key to unlocking it all.. But what the hell do i know?.. I am just a n00b at this. Updates to follow.. If anyone cares.. Thanks for looking! Glitch420
BITFINEX:BTCUSDShort
by Glitch420
1
Bitcoin to C.. The Final Countdown.This is it.. If you have been following my Linear Regression Model.. I have achieved almost 100 percent accuracy over the last 48 hours, with this regression model. (Extraordinarily surprised).. See what happens next!! See past charts in, "Links to related Idea". I started the prediction model with very little confidence it would give me any style of accurate results.. Little did i know it would correctly predict almost 2 days!.. We are at the end of this linear regression model.. This is the moment of truth. Updates incoming as we get them.. We are going to break the 9000.. Possibly test the 9100 mark.. and begin a full fledged bull run.. This prediction should be taken with a grain of salt.. A statistical outlier should precede a massive jump.. Lets keep an eye out for it.. Thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
3
Bitcoin to zone C.. recovery to blast off!Bitcoin recovered back into the shaded purple zone, which outlines my linear regression modeling. This is a huge deal, as we had dropped out of the zone D in shaded purple, but quickly recovered and is on track to create the RS of an inverse HS model. In my eyes the drop out of zone D, was a statistical outlier caused by bots and fear. Hence the very fast return to the purple zone. But what do i know? This is my second day doing this ... See my other charts.. "Bitcoin is going to Zone C".. I am most likely going to be wrong anyways.. but what if?.. Thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
Bitcoin is going to go to zone C.Yesterday, I said bitcoin would follow my linear regression and zone patterns; by finding the best 'line of fit' in the data points. So I found the best line of fit using regression modeling, which gave me my ABCD angles. Then i used these ABCD angles to create my zones. Yesterday, i highly suspected the trend would stay within my designated zones from D to C; to which it has.. In order for this hypothesis to remain true, we can not stray to far from the purple shaded area AND we must continue the small inverse HS pattern being created right now. If we fail to stay in the designated zones and have a HS failure, we will most liklely tumble pretty far down again. If we continue on this quest... And data keeps fitting along my regression model, we will see bitcoin into zone C very soon. I really have no idea what i am doing.. But it looks like i do! Looks are deceiving.. Thanks for looking, Glitch420
BITFINEX:BTCUSDShort
by Glitch420
I believe this is the bottomI'm a total n00b, but charted this the other day and so far so good.. so thought I'd publish it. This is mostly based on my understanding of Clif High's data and my limited understanding of chart predicting, plus some intuition. I'm learning. Mid to late February I'm expecting a new base support of ~$13,880 (so that's what the blue star indicates). Red lines are trending supports. Green lines are trending resistance. Blue lines are expected trajectories. We shall see.
COINBASE:BTCUSDLong
by modelNO10024