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Bitcoin to C. P-Modeling Pt 26. Model O & The Final Act!!This is Part 26 of my theoretical geometricc linear regression modeling from 3.22.18, "Bitcoin to C". Come back for updates. :) The modeling sequence started at Model A, and ended at Model O. Model O is officially the very last Model of Bitcoin to C. modeling sequence!! We now must start a NEW modeling sequence! The best part about this is.. Model A thru Model O is considered a True Sequence. This means ANY geometricc indicator, boundary lines or operators in Model A thru N will and can effect future modeling in Model One thru Model (#x). (as long as the belief theory rules are followed). Holy shit, how far we have come in less than a month.. Let us recap.. Well.. 1 month ago, Bitcoin to C was made. I stuck to the 9100-9400 target since 3.22.18. I never lost sight of that target. Today we are about not far away from reaching this target, and closing very fast.. In epic fashion the market has decided to recover.. Days of agonizing Bart suppression trends, and emotional FUD. But here we are.. Things to remember.. 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 and Ethereum and invest at the right time. I promise I will make many mistakes making these non-traditional theoretical 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.. Let me start by saying how wonderful so many of you have been to me regarding my predictive modeling algorithm.. I had my doubts at the type of reception and reaction I was going to receive when I started this little project less than a month ago. Nonetheless, I have been utterly shocked at the kindness shown to me so far. Thank you. As you can see in my chart.. It is insane. Almost 30 days of modeling cramps up the space provided.. But.. Bare with me! Model One is officially COMPLETE. Model One is created by a criticality shift, the new operator boundary, the Model I thru Model N intersect and our current trends Geo-divergence boundaries. This is exciting as I will continue this until we get a critical model sequence failure.. A model sequence failure will only effect the most current sequence AFTER the criticality shift. Exciting ass days ahead! Stay tuned!! NEW!! Model O has been created! I said a few days ago that we would see Model O only under extreme circumstances IF we kept to the belief theory rules.. We did indeed keep to ALL the rules in Model O. As i framed O.. it formed the rest of Model ONE! MAINFRAME INTERSECT FOUND! Why? Model O has a connect to Model N. We did NOT alter any mainframe lines (yellow) to frame O. It fits without alteration to mainframe. Statistical Outlier #29 fit perfectly with Model O with unaltered boundaries. As always, thanks for looking :) Glitch420
BITFINEX:BTCUSD
by Glitch420
9
Bitcoin to C. P-Modeling Pt 25. The Final Act! New Model One!!This is Part 25 of my theoretical geometricc linear regression modeling from 3.22.18, "Bitcoin to C". Come back for updates. :) The modeling sequence started at Model A, and ended at Model N. Model N was officially the very last Model of Bitcoin to C. modeling sequence!! We now must start a NEW modeling sequence! The best part about this is.. Model A thru Model N is considered a True Sequence. This means ANY geometric indicator, boundary lines or operators in Model A thru N will and can effect future modeling in Model One thru Model (#x). (as long as the belief theory rules are followed). Holy shit, how far we have come in less than a month.. Let us recap.. Well.. 1 month ago, Bitcoin to C was made. I stuck to the 9100-9400 target since 3.22.18. I never lost sight of that target. Today we are about $400 away from reaching this target, and closing very fast.. In epic fashion the market has decided to recover.. Days of agonizing Bart suppression trends, and emotional FUD. But here we are.. Things to remember.. 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 and Ethereum and invest at the right time. I promise I will make many mistakes making these non-traditional theoretical 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.. Let me start by saying how wonderful so many of you have been to me regarding my predictive modeling algorithm.. I had my doubts at the type of reception and reaction I was going to receive when I started this little project less than a month ago. Nonetheless, I have been utterly shocked at the kindness shown to me so far. Thank you. As you can see in my chart.. It is insane. Almost 30 days of modeling cramps up the space provided.. But.. Bare with me! Model One is officially almost rendered!! Model One is created by a criticality shift, the new operator boundary, the Model I thru Model N intersect and our current trends Geo-divergence boundaries. THis is exciting as I will continue this until we get a critical model sequence failure.. A model sequence failure will only effect the most current sequence AFTER the criticality shift. Exciting ass days ahead! Stay tuned!! As always, thanks for looking :) Glitch420
BITFINEX:BTCUSD
by Glitch420
2
Bitcoin to C. P-Modeling Pt 24. Model Sequence Criticality. This is Part 24 of my theoretical geometricc linear regression modeling from 3.22.18, "Bitcoin to C". Come back for updates. :) The modeling sequence starts at Model A, and ends at Model N. Model N SHOULD be the last model for this sequence.. We have arrived at the end of an operator and a crucial turning point for bitcoin 0.06% . Model O will be rendered IF we do not break any rules of the modeling sequence. But that is going to be VERY hard to not break the rules in order to get to Model O. 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 0.06% and Ethereum -0.74% and invest at the right time. 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.. You ready? The sky is clear, 72 degrees F. Wind 10 knots SW. Rocket Readying... Fueling Turbo thrusters... Initiate launch sequence.. Checking lightspeed protocol.. T-Minus 6 Minutes.. Window opening.. Please keep your hands in the spaceship at all times.. Any attempt to move about the cabin will be meet with gravitational G-force in double digits.. If you are prone to vertical disorientation, it is recommended that you sit on the sidelines to avoid any unnecessary discomfort.. Thank you and enjoy your ride.. Glitch420
BITFINEX:BTCUSD
by Glitch420
3
Ethereum. P-Modeling Pt 4. Model B: Recovery Mode InitiatedThis is Part 4 of Geometric Linear Regression Modeling for Ethereum . Don't forget to come back for updates! 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. Now we are on Model B. We have officially rendered Model B in Pt. #4.. 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. :) If you enjoy this.. Hit that like button! 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 2.76% and Ethereum 3.89% 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.. If you confused on how we got to this point.. Please re-read my old charts. You can find links below and in bio. I take you step by step. Shizz to note: Model A was a long model.. but the validity of Model A was nonetheless very accurate.. I placed a Gann Fan at the entry into Model A, this laid the trend boundaries really nicely and nicely correlated with my geometric mainframe from my indicators. As you can closely see.. The trend bounces off our designated boundaries many times and stays within the predicted modeling space. Double Model Outlier. Statistical Outlier #1 is very special for Ethereum because it serves a connection to my modeling on, "Bitcoin to C" Pt. 24 with Statistical Outlier #28. Both Ethereum and Bitcoin had a Statistical Outlier that jumped to a second Model. Both coins and their statistical outliers had re-entry into another model at almost the same time as well. Yet.. They are two completely different designed Modeling Sequences, but same technique. This is a huge validity win for this modeling technique. Model B became True when: We had entry into Lower boundary which completed the double model statistical outlier #1. We had a mainframe intersect or connect between Model A and the new Model B. (we had a connect). We are staying within the designated vector of the model for at least half of the model rendered. We achieved all of these with Model B. Model C: Model C will be rendered when we get enough data points to continue, I suspect that will not be to far from now as Model B was rendered small in size. As always, thanks for looking! Glitch420
BITFINEX:ETHUSD
by Glitch420
2
Bitcoin to C. P-Modeling Pt 23. Model N & April 19thThis is Part 23 of my theoretical geometricc linear regression modeling from 3.22.18, "Bitcoin to C". Come back for updates. :) The modeling sequence starts at Model A, and ends at Model N. Model N SHOULD be the last model for this sequence.. We have arrived at the end of an operator and a crucial turning point for bitcoin. Model O will be rendered IF we do not break any rules of the modeling sequence. But that is going to be VERY hard to not break the rules in order to get to Model O. 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 and Ethereum and invest at the right time. 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.. Why did Model M not fail? A model is rendered if we meet the following conditions: - Minimum of two mainframe connects and/or intersects. - We must connect with the previous model. - Lastly, does the model sequence have space for it naturally. All 3 of those conditions are met with Model N. So what about Statistical Outlier #28? Well let me explain.. -Behold.... our first double Model outlier! Huh? Double Outlier? -It is no secret the last few days have been controlled by WHALES and BOTS. We entered another suppression zone.. This was a highly controlled suppression zone by many factions it seems. Model M, was caught in a suppression zone. Thus the modeling sequence did not account for this suppression zone since it is not possible to at the moment. We got very close to re-entry but whatever entities were in control at that time, denied it. Thus we got stuck in a suppression pattern. VERY CLEARLY. In order to complete this double outlier we need to make entry into the lower boundary of Model N. This will set keep Model M and N both true.. So now that we are finally breaking out of the suppression zone, we must move up, as suppression is just that.. Accumulation and suppressing the price that reason. The logic tells me.. We are going to meet our goal.. Buckle the fuck up.. I could of be 100% wrong and it is very possible that I am.. But what if.. This all works.. The sky is the limit.. and this will set in motion a new way of looking at TA in crypto. April 19th shows the end of an operator.. criticality has been detected.. Change blows in the wind.. As always, thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
1
Bitcoin to C. P-Modeling Pt 22. Model N & Crucial Days Ahead.. Come back for updates. This is Part 22 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 N. Model N will be 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 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.. Oh how far we have come.. But i fear we have reached the end of the modeling sequence... In my eyes we have two options; Model Sequence Failure or we reach Bitcoin to C's goal of 9100-9400 by April 19th. I have detected the end of a an operator.. All indicators clearly show evidence of a model sequence failure IFFF we do not REACH 'Bitcoin to C' but instead cross this operator intersect.. Crossing this operator intersect is not an option. If we cross it I will declare sequence failure and this will end, 'Bitcoin to C sequence'. At which point I have the choice to start from scratch, or find a connect from the last previous working Model. If i can not find a connect to a previous working model. I will have to start from scratch once again. I know this is confusing. It is kind of designed to be because I am creating it as we go. This is a MASSIVE learning curve for me, using my modeling technique here. My modeling technique was not designed for crypto. So it is a learning process.. Understand that. Model N will be rendering soon. I have added a new tool: Gann Fan. The Gann fan works very well with what i am doing believe it or not. I just discovered it yesterday. I have learning so much over the past month. Thank you to all who continue to inquiry about this and ask questions. I love it. As always, thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
6
Bitcoin to C. P-Modeling Pt 21. Model M: Statistical Outlier #28This is Part 21 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 -2.63% 1.34% 13.88% -0.55% 2.03% and Ethereum -3.77% 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 IMPORTANT SHIZ ABOUT STATISTICAL OUTLIER #28: it has a MASSIVE drop/rise zone. Important outlier bounce line is 7600 indicated by red boundary line. Model Sequence bottom is 7350. If we go lower then the Model Sequence bottom, and fall past and STAY past the Modeling sequence boundary's; it will be considered a Model Sequence failure. At which point our modeling would end for the moment. We have not had a model sequence failure yet. Falling and staying below 7350, will fail my model sequence at Model M. I expected model sequence failure around Model C and D. Yet here we are at Model M. Anything above 7600 is fair game, but anything below 7350 is extremely dangerous territory. But what the shit do i know.. I have been doing this for about 3 weeks now, and based off of something completely theoretical. haha Each arrow is placed precisely where i want them, and this is based off of the sine line pattern I found. I doubt they will remain perfect, but the trend SHOULD follow them decently, IF it does what i think it will do. If you like what you see, hit that like button! Lets see what happens!! I doubt it will happen.. But what if ehh? ... Epic sauce.. Come back for updates, I will post all new Model M updates here. As always, thanks for looking! :) Glitch420
BITFINEX:BTCUSD
by Glitch420
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