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Bitcoin. P- Modeling Pt 34. Model Q and Model RI am sorry for the lack of updates. Life takes a strange twist every now and again which leaves you non-functional. I am pretty non-functioning right now. Come back for updates if you please. I will be super short. As you all know by now I am doing something 100% theoretical and designed by me. I can give a shit less if you care to understand what i am doing or not. But I have my reasons. Period. Only those who take the time to decode my method in even the slightest will benefit from what I am doing. It is only going to get more complex, more coded, and way more interconnected. If you think you are witnessing the birth of something new. You would be right. Do not believe me? ok. Suit yourself. I respect your opinion. Just Watch. You will see eventually. Doubt is the fuel to my fire. And something poured ether in it. Good luck :). Model Q of sequence two of the algorithm has been rendered. Rendering of Model Q was decided on the powerful sentry, the evil operator, a converted Geo_Operator and the NEW extended Model M,N,O,P intersect (yellow line). Sentry and Evil Operator along with the converted geo_operator means that they are in full control. They do as they please. We must break their grasp or they must let go of us. Simple really. New Intersect is extended. Geo_indicators are right on point. New Connect at Model P to Model Q. Follow the geometry. Have a good day.
BITFINEX:BTCUSD
by Glitch420
Bitcoin. P-Modeling Pt 33. Sequence Three & Model P.Fascinating results.. Come back for updates. Failure finally occurred after 50 days. A completely new theoretical charting style and modeling technique designed by me has stayed valid for 50 days continuously. I find that to be a success, not a failure. I mentioned needing it to fail since the very beginning. It has done so and I could not be happier.. Why? because.. we now have Model P which is the start of sequence three. But wait.. how did we get to Model P.. Lets dig in shall we? When we ended Sequence One with Model O and went into towards a criticality shift.. We modeled this with Criticality Fans. These fans are directional indicators. Not rendered Models. Model P is a rendered model based upon a different set of proposition rules than the criticality fans. These fans represented the shift between sequence one and sequence two. Problem is.. Sequence One failed to critically shift into sequence two, due to the fact that the original evil operator converted the geo_divergent operator into a geo-convergent operator. The sentry then took full control of the trend and pushed us down. This combined with psychological FUD from world news.. Tipped the scales completely in the evil operator's favor. The new evil operator (orange framework) now has complete control of us. Model P's upper boundary starts at Bitcoin to C and lower boundary ends along the resistance line of the sentry that intersects the Mega geo_cross indicator. Model P indicates downward movement to 8.1k. Then as always.. we must have a LB outlier. This is where it gets interesting. Model G, H, I, K, L, O, P intersect shows a possible flash drop to 7600-7400. This is where we have the chance to do something we have never done before.. Go from 7.4k to 10k +... call me fucking insane because i probably am 97% sure I am wrong.. But.. Never say never.. I have good reason to believe this was all a massive set up for those with big pockets and are going to end up creating the biggest supernova crypto has ever seen. But i am most likely just daydreaming here. But what if.. Blue bubbles = current comments Red bubbles = past events/comments Yellow bubbles = mainframe descriptions. Black bubbles = algorithm descriptions Purple bubbles = error descriptions Pink bubbles = Master Operator descriptions Red lines = Evil operator boundaries and resistances. Purple Lines = (good) Master Operator boundaries You are seeing this chart at a timeframe of 45 min increments. Between the dates of April 9th and May 18th. Start date of algorithm was 3.22.18 End date of algorithm sequence One was April 23rd. End of criticality sequence + error rate was May 10th. Algorithm Official declaration of failure for Model One sequence start: May 11th, 2018 Full algorithm sequence completed: Model A thru Model O + Criticality Fans 1, 2 & 3 New Sequence started: May 11, 2018 Total days of active algorithm modeling to date: 50 days. Sequence One Accuracy: 95.4% Sequence One Error: 4.6% Sequence Two Accuracy: FAILED. Sequence Two Error: 100% Sequence Three: Starts at Model P. The only way you can learn about my technique is to watch what I am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
18
Ethereum. P-Modeling Pt 9. Model E + The Master Operator Welcome.. This is a huge update for Ethereum. Come back for updates! To understand how we got here please see previous charts separated by parts. This is part 9. For awhile, we had the Evil Operator in control. (red line). It really did not both us much in Ethereum. The modeling sequence for this algorithm starts at A and goes to E. Model E is the newest Model rendered in the sequence. April 12th I called for a switch to occur based on the geometry in my chart. The switch was to occur on May 12th. (See first few Pt's of Ethereum). Today is May 13th and today our switch was initiated. The switch indicates a reversal here .. or the high probability for one. Notice how the purple and red lines switch. Ultra important. Notice how we now have a battle zone projected between the new Strong Master Operator and the weak old evil operator. All the geometry supports the new switch, the new master operator, and are subjective belief theory that is upholding our proposition. Now i want you to look at the Master Operator. The Master operator was birthed from lowest boundary intersect of rendered Models B, C, and D. (yellow line) + the Geo_operator intersect (purple) and.. The newest Master Operator Lower Boundary. The connect for that intersect birthed a new Master Operator. A very very STRONG operator. But that old evil operator is right there.. it is very weak and has very little geometry to support it.. We are going to shift. Proposition stands at .89 Master Operator Sequence is now complete since we have a operator connect, operator intersect and both a lower and upper boundary of the operator. This is going to be cataclysmic.. But I can be wrong.. no shame in being wrong at all. But i can also be right. Who really knows.. Lets see how it plays out. Map: Purple Lines: Master Operators foundation Matrix. Light Blue Symbol: Master Operator. Red Symbol: Evil Operator and sentry Green/White lines: blast paths. Red lines: resistant paths. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. As always thanks for looking, Glitch420
BITFINEX:ETHUSD
by Glitch420
Ethereum. P-Modeling Pt 8. The Impossible?.. :)Well.. call me crazy.. but how does 30% sound? Sounds crazy too me.. But hey.. crazy is unique. Unique is interesting. I like interesting shit .. do you not? I am most likely wrong here but i got a hunch. Bitcoin and Ethereum algorithms explain two sides of the same coin. It is fascinating to see the correlation between them. On April 12th, in one of the earlier Pt's for Eth I said May 12th we will be close to what i refer to as the 'switch". Well we are still pretty damn far... But i called it right on the day however 30% brings us within the mainframe lines of that switch. That is all we need here 30%.. this is no small feat.. actually it will defy many odds if it happens.. and almost seems impossible but it is not. This switch.. is exactly what the name implies. A reversal. A switch from the past.. to the future. Today is that day.. I know it sounds crazy and it is.. But this set up is very suspicious to me. The geometry is hinting at pulling off the impossible. Why though, would it be impossible to blast 30% upwards when we can blast 30% downwards on some days... We have had WEEKS and WEEKS of accumulation by big hands.. WEEKS AND WEEKS of suppression for this accumulation.. We are at the end of the suppression cycle it seems.. Now it is time to make those that have invested large sums of money.. profitable. The only way to do that cataclysmic-ally increasing the price followed my a MASSIVE drop to take the profit form our insane explosion. And i am ok if i call it wrong too, this is an experiment.. Period. This is to find validity in what i am doing and to cement my theory and its constructs in stone. You can not do that without trial and error and subjective understanding of the reality around you. This is my trial and error. Map: Purple Lines: Master Operators foundation Matrix. Light Blue Symbol: Master Operator. Red Symbol: Evil Operator and sentry Green/White lines: blast paths. Red lines: resistant paths. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. As always thanks for looking, Glitch420
BITFINEX:ETHUSD
by Glitch420
2
Zilliqa. P-Modeling Pt 1. Finding the trail.. Day 1.Zilliqa is going to be token #3 that I will be actively using my personally designed theoretical geometricc linear regression model technique. The reason on choosing Zilliqa is picking up on a new trail to continue testing the validity of my algorithm. I needed a new coin that is very new with little data behind it but has great potential. The less data I have to work with the better my technique needs to be on, 'finding the trail'. I will be incorporating many new constructs and playing around with new tools to enhance my prediction accuracy. This will allow me to continue to scale my algorithm organically with useful knowledge from other tokens and what I have been doing with them. First token subjected to my modeling technique was Bitcoin. Currently, 31 sequential ideas have been created for bitcoin. Start date 3.22.18 Second token subjected to my modeling technique was Ethereum. Currently, 7 sequential ideas have been created for Ethereum. Third token that will be subjected to my modeling technique will be Zilliqa. This is part one of finding the trail using geometric linear regression modeling for predicting Zilliqa. Enjoy.. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. If you are enjoying what I am doing.. Hit that like button and let me know you observing in the background like a ninja. All comments welcome. :) Have a great day. As always thanks for looking, Glitch420
by Glitch420
1
Ethereum. P-Modeling Pt 7. Patience... It will happen.. Once again we find ourselves continuing the supernova countdown for ethereum just like bitcoin. Come back for updates! This shift has gone a lot longer than I thought it would. But it is coming.. it is not a matter of IF but WHEN. It will happen very soon. Or not.. I can be talking out my ass you know.. Question everything. Question the one's asking questions. Question reality. Now things to note: One new Master operator was born One is Good and one is Evil. We are trying to escape the old evil operator's grasp. The Good operator is trying to take control. Control is taken when we land within the operators foundation matrix. We are still underneath the newly born Evil operator. This is a problem. Control must be forcefully taken or given up. If it occurs by force.. Supernova time.. A fight between operators is possible.. Map: Purple Lines: Master Operators foundation Matrix. Light Blue Symbol: Master Operator. Red Symbol: Evil Operator. Green/White lines: up paths. Red lines: resistant paths. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. As always thanks for looking, Glitch420
BITFINEX:ETHUSD
by Glitch420
1
Bitcoin. P-Modeling Pt 32. Algorithm Failure? Nope... not yet at least.. :). But we did test the most outer limits of my subjectively designed algorithm for hours though. I was so sure it would fail, that when it was on the death line I turned off my phone and computer and went outside to enjoy the fresh air and ponder what I would do next. Algorithm failure is no joke now. I have so many days of continuous modeling in this algorithm sequence that it is hard to think of starting over from step one again. But if it is meant to be it will be and i will accept it. Failure is a means of an opportunity for growth. Insanity, is doing the same thing over expecting a different result. We adapt our perceptional understanding to new information or we resist and fail victim to a variety of unhealthy emotions and habits. A dynamic perspective of life is needed to understand what I am doing here. If you are bound by the norms of our social reality and fail to think out of the box you will not see the connection. That is ok too.. My understanding of reality is no better than yours, nor is your understanding of reality better than mine. That understanding is unique to the one perceiving and can not be compared. But we do it anyways.. :) Humans can not help it unfortunately. Anywhooo.. The 8/1 Gann Fan Boundary represented algorithm failure. It was widely documented through out our journey.. We did indeed hit that line and passed it. Technically running outside the modeled limits, but not quite straying far from that 8/1 boundary line. We are literally tip-toeing death right now. In my eyes it has not failed until we have a big drop with no chance of possible return to the modeling boundary. We are so close to that line that error rate attributed to subjective boundary placement can be accounted for here. That line is valid, and so is the algorithm as long as it is being followed closely like it has been. Battles So many pieces of the puzzle have been fitting together over the last couple months.. what started as a joke to me 3.22.18 has turned into something that is very much not a joke anymore. But a real possibility of being something unique to contribute to this ever evolving world we live in. We are headed towards a paradigm shift with crpytocurrency and it being mass adopted. The old methods of understanding this new phenomena will not be enough. People need to continue thinking outside the mainstream box. Review One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
17
Bitcoin. P-Modeling Pt 31. Patience.. It will happen. Once again we find ourselves continuing the supernova countdown. This shift has gone a lot longer than I thought it would. But it is coming.. it is not a matter of IF but WHEN. It will happen very soon. Or not.. I can be talking out my ass you know.. Question everything. Question the one's asking questions. Question reality. Now things to note: Two new master operators were born. One is Good and one is Evil. We are trying to escape the old evil operator's grasp. The Good operator is trying to take control. Control is taken when we land within the operators foundation matrix. We are still underneath the newly born Evil operator. This is a problem. Control must be forcefully taken or given up. If it occurs by force.. Supernova time.. I have outlined a very possibly volatile variance overlap in the projection lines. (Orange). A fight between operators is possible.. Map: Purple Lines: Master Operators foundation Matrix. Light Blue Symbol: Master Operator. Red Symbol: Evil Operator. Green/White lines: up paths. Red lines: resistant paths. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
5
Ethereum Criticality Shift. P-Modeling Pt 6. Supernova Time?First, I would like to apologize for lacking on the Ethereum updates.. Ultra busy with finals.. But now I am free! Finally... Let us continue where we left off.. Make sure to come back for thy updates! Give this a like so i know you observing in the background like a ninja! Where to start... Model C has been fully rendered. Following the geometry I saw a whole bunch of new things begin to manifest. Outlier #7 has occurred and completed. Market manipulation with a suppression zone. Model B and C has a connect and a trend crossing through it which makes it true. Model C follows the geometry accordingly until we saw some intense upward movement. This created new geo_divergent vectors in which upward trend modeling can occur.. An evil operator has been identified. It is responsible for the sentry's helping keep us in suppression. We must cross the horizontal Evil operator boundary in order to sit squarely between the foundation matrix of the new Master Operator. Something insane now. Ready? Bitcoin P-Modeling Pt 30 & 28 shows two things. Pt 28 explains a little on criticality fans and error. Pt. 30 (current idea) shows the time it has taken to reach the end of criticality from our suppression zone. 8 days. 12 hours. If measured between the upper and lower Master Operator boundary like shown it comes to exactly 8 days and 12 hours. I will post bitcoins current chart below to show you how long the criticality residual error was.. I can give you a hint.. 8 days and 12 hours on the dot. SEE LINKS TO RELATED IDEAS BELOW. Coincidences? I do not believe in them. Validity +1. ;) Next, I have been experimenting with Elliot Wave theory. It seems to be the "most popular method" in crypto for many instances in prediction modeling. Elliot waves are only medium trend decoders. Period. There are other dimensions of decoding levels present in a global signals such as Bitcoin and Ethereum. My TA style looks at a very misunderstood dimension of decoding of a global signal. The background noise. Order is found in Chaos. That is my motto at least.. :). Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. As always thanks for looking, Glitch420
BITFINEX:ETHUSD
by Glitch420
4
Bitcoin's Criticality Shift. P-Modeling Pt 30. Supernova Time?I must apologize I have been extremely busy. Finals suck.. they consume precious time. We are still in criticality.. Come back for updates. :) Earlier i thought we were going to done. I thought this algorithm that has been going since 3.22.18 would be finished today as it looked so close to failing.. But it did not.. it held the line.. and inched upward. Painfully slow and it is still rising painfully slow. Price compression and a suppression zone is evident here. Someone is manipulating the price in order for excellent accumulation potential and they are succeeding. This rocket is only going one way and that is up. Now how will we go? Painfully slow.. or brutally fast.. Supernova speed or Tortoise speed... That is the question now.. We are a long way from the new sequence modeling zone to render Model Two of the new algorithm sequence... The criticality shift is about to present its final act and I feel we are in for quite a show. Now things to note: Two new master operators were born. One is Good and one is Evil. We are trying to escape the old evil operator's grasp. The Good operator is trying to take control. Control is taken when we land within the operators foundation matrix. We are still underneath the newly born Evil operator. This is a problem. Control must be forcefully taken or given up. If it occurs by force.. extreme suppression and volatility. If it occurs by bears waving the white flag.. Supernova time.. Map: Purple Lines: Good Operators foundation Matrix. Sentry of Old and New operator. Green lines: up paths. Red lines: resistant paths. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. YOU WILL FIND THIS NOWHERE ELSE. As this is designed from scratch based off other research I am working on in my professional domain. This is a grand experiment, I thank you for all participating with me! Hit that like button, it lets me know you are watching like a ninja in the background! If you are confused how i got here.. Please go back and look at my charts. They are sequentially marked by Pt's for easy identification. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
14
Bitcoin Criticality Shift. P-Modeling Pt. 29 Up, Up & Away...?This is it... (I hope..) Thy Criticality Shift is upon us. Return for thy updates. We need some serious upward movement for this shift. Let us see what unfolds.. Paths are set. We MUST enter the purple foundation lines which represent a NEW Master Operator. This operator will have full control once we enter its mainframe. Criticality Error Detected: 13.9% Algorithm Sequence Error: 4.6% Total Error w/including Criticality: 18.5% Algorithm Accuracy: 81.5% Enjoy the show.. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, take it with a grain of salt. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. You will find this no where else. As this is designed from scratch based off of other research I am working on. This is a grand experiment, I thank you for all participating with me! Hit that like button if it so fits your fancy.. Speak up if you are curious. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
5
Bitcoin to C. P-Modeling Pt 28. Criticality Fans & C-Error A new Master Operator is taking control. But not without a fight from the other Master Operator who is currently in control. A criticality shift is cataclysmic in nature by theoretical understanding. This applies here too. A shift of this proportion is needed in order for control to be stably in the hand of the new operator. Modeling sequence A thru O and the error was calculated when we hit bitcoin to C. See (Pt. 25,26,27). Error was calculated between end of Model sequence and our goal which was Bitcoin to C. Criticality thus became the focus. Criticality represents a shift in the matrix. But we need an "event" for it to occur or "evoked potential" as i have come to call it. I am hoping for it to come soon.. Criticality Error will be calculated between the end of the error residual of the modeling sequence A thru O and our "evoked potential"/ "event". Criticality error and algorithm sequence residual error will be combined to give me an overall error of the algorithm as a whole. :) Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, it must be tested for any type of possible validity. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. The only way you can learn about my technique is to watch what i am doing. You will find this no where else. As this is designed from scratch based off of other research I am working on. This is a grand experiment, I thank you for all participating with me! Hit that like button if it so fits your fancy.. Speak up if you are curious. As always thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
7
Ethereum. P-Modeling Pt. 5: Model B & Criticality Shift with BTCThis is Part 5 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. Pt 4. We fully created Model B. Pt. 5 we focus on a criticality shift. HIt the LIKE. 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 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.. 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 throughout the sequence. 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 B has multiple FOMO outbreak attempts but re-enters Model B, so it is counted as an Statistical Outlier. This should be common as we go continue an upward trend with different models. Model B was extended to fit the geometry according to what I see in pt 4. All rules are being adhered to. Model C: Model C will be rendered when we get enough data points to continue. We are currently experience a criticality shift in Bitcoin (see newest idea Pt 27) and this mean Eth will definitely follow close behind. I have a target of almost 800 right now. Big moves are coming soon.. I think.. :) but do not put too much trust into me yet.. Model C to come soon. As always, thanks for looking! Glitch420
BITFINEX:ETHUSD
by Glitch420
5
Bitcoin to C. P-Modeling Pt 27. GOAL REACHED. Criticality Near.Holy shit it happened. After 33 some days of continuous theoretical geometric linear regression modeling the goal has been reached! Bitcoin to C is over! BUT.. we are not finished here it seems... We are entering a cataclysmic shift. Everyone with big pockets who have been eyeing the reversal trend of crpyto now is FULLY AWARE of what is to come... You should be too. We go up. WAY UP it seems. The manipulators of the market want profit now. So profit they shall have.. It is very clear we enter periods of controlled pumps and dumps. Something is missing.. Model One was rendered using very key foundation points, I can not even begin to ignore some of these lines.. This is leading me to believe the criticality shift will be massive. Review. One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, it must be tested for any type of possible validity. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. Lets talk about mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. My Human Error in rendering models has led to what I am terming, 'Model Residual'. This is the idea that the subjectivity of my choice to render a model in 3D-(X ,Y Z) space in the vector matrix, causes a chance like probability that my Model is not "Modeled/Rendered" in the most efficient spot vs another (X, Y, Z) space in the vector matrix. This residual of the incorrect placement in the vector matrix compounds over time with each added Model. I have gone 32 days without accounting for each Models residual in the vector matrix, which is caused by my human subjectivity. My subjective placement of each model was probably not the most "efficient rendering location" it could of gone VS. if we ran the same scenario with an A.I. program this program would be bound to very strict logic and math. No subjectivity allowed. But without subjectivity you LOSE valuable data. This is the key component of the algorithm. Subjectivity. :) OH NO, NOT SUBJECTIVITY!!! YOU OBVIOUSLY DON'T UNDERSTAND THE SCIENTIFIC METHOD. (screams every hard bound scientist in the world reading this). What if we could MEASURE subjectivity and use it as a quantifiable foundation for accurate prediction forecasting? NOT POSSIBLE (screams the scientists). Oh but it is.. And we are doing it now. :) Compounding Error: Every model has residual the compounds on the next model, and goes all the way through the sequence until the end of that sequence. The residual compounded must then PLAY OUT AT THE END OF THE SEQUENCE once a sequence failure occurs. But have not violated ANY of the modeling rules except finishing criticality shift. The criticality shift.. occurs AFTER the END of the subjective residual of the modeling sequence. It will come soon.. So what I am saying is.. The modeling residual due to subjectivity create the criticality shift. Insanity. As always, thanks for looking, Glitch420
BITFINEX:BTCUSD
by Glitch420
Bitcoin to C. P-Modeling Pt 27. Model Residual & Compound Error.I want to start off by saying thank you to everyone who has talked with me in chat and who lurks in the background with curiosity about this new theoretical linear regression modeling I have been designing. When I started this on 3.22.18 I never thought it would go a month without failure. I thought it was going to fail within the week of trying it out. But here we are.. 32 days later. It finally failed. Or did it? One thing you should understand is that what I am doing is new. It is Theoretical. Thus being it is theoretical, it must be tested for any type of possible validity. I am certain i have found validity in what I am doing, so I will keep doing it. Despite any failures, or incorrect calls, or emotional builds ups only leading to disappointment. Is that not the fun of it? I found this stuff ultra fun and it works a good portion of the time it seems. But I am only human.. Humans make mistakes. Lets talk about mistakes. When rendering a model in my algorithm, the proposition that upholds the belief theory is subjective to a degree. I chose the best place I THINK it would go. Period. I follow the geometry as I see it in my eyes. That is subjective. No A.I. in crypyto trading has the ability to have subjectivity. But I do. No A.I algorithm created has subjectivity, unless it is a hybrid that incorporates HUMANS into it's analysis. The human operator is the most important aspect in understanding the real complex nature of human emotion and its interplay in something like crypto trading; as all bots programmed to trade (are based on emotions, and desires of the HUMAN programmer). Thus bots although automatic, ooze the emotional desires of the human programmer. An observable behavioral phenomena, to the train eyed. My Human Error in rendering models has led to what I am terming, 'Model Residual'. This is the idea that the subjectivity of my choice to render a model in 3D-(X ,Y Z) space in the vector matrix, causes a chance like probability that my Model is not "Modeled/Rendered" in the most efficient spot vs another (X, Y, Z) space in the vector matrix. This residual of the incorrect placement in the vector matrix compounds over time with each added Model. I have gone 32 days without accounting for each Models residual in the vector matrix, which is caused by my human subjectivity. My subjective placement of each model was probably not the most "efficient rendering location" it could of gone VS. if we ran the same scenario with an A.I. program this program would be bound to very strict logic and math. No subjectivity allowed. But without subjectivity you LOSE valuable data. This is the key component of the algorithm. Subjectivity. :) OH NO, NOT SUBJECTIVITY!!! YOU OBVIOUSLY DON'T UNDERSTAND THE SCIENTIFIC METHOD. (screams every hard bound scientist in the world reading this). What if we could MEASURE subjectivity and use it as a quantifiable foundation for accurate prediction forecasting? NOT POSSIBLE (screams the scientists). Oh but it is.. And we are doing it now. :) Compounding Error: Every model has residual the compounds on the next model, and goes all the way through the sequence until the end of that sequence. The residual compounded must then PLAY OUT AT THE END OF THE SEQUENCE once a sequence failure occurs. We just reached the end of our sequence. But have not violated ANY of the modeling rules except not having our criticality shift. The criticality shift.. occurs AFTER the END of the subjective residual of the modeling sequence. So what I am saying is.. The modeling residual due to subjectivity create the criticality shift, AFTER the end of the sequence. WE are IN the CRITICALITY SHIFT NOW. And my subjective error predicted the timeframe of Criticality till we shift.. I am sorry if you are confused. As always, thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
7
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 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