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EOS the Chestahedron Abundance Coin Dual chart [BTFD]So we been giving big props to EOS recently our first buy signal was at $5/6 and now peaked at $23, hope u took profits and looking to get in again EOS has smashed away from bitcoins grasp in last few months but started to take shape back within the kings reach.... looking for best re-entry using the fibs and gann fans for me EOS is like ETH last year when it was still under $10 and with ICO finishing in July it was have a huge market cap and has great press, recently an article in Forbes! if you dont wanna get stinky rich this year then simply dont buy EOS! really easy lol but i prefer to do things backwards :) im buying all the way down with EOS and riding all the way up to over $200 and beyond, EOS's mcap could make bitcoin and other alts look quite small when we get into just three figures... trade smart, join our telegram chatroom with ZERO pump spam :)
Long
by majorlee
4
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. Model A-G Predictive Modeling Pt. 11This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, and runs thru Model G. Model G is the newest Model. Each model is strictly built off of the preceding models geometricc regression points. The regression points from each model, creates a geometricc pattern of indicators, that can be read to PREDICT future trend movement, before actual traditional indicators occur. I am going to try my best to explain, as we go... There will be lots of bubbles with text, explaining each move and why.. and how i make prediction cones, and patterns using geometricc boundary lines and regression modeling. This is A FULLY EXPERIMENTAL MODEL. Take it for what it is worth. I will continue to make these charts regardless of comments or jabs. They are made for a specific purpose and until my purpose is fulfilled, they will keep being made. The idea here is to convince you, that what i am doing is not arbitrary but unique and useful. I know the immediate inclination is to doubt what I am doing. That is expected.. and understandable.. But human nature is unpredictable. And you never know when you can learn new things and be completely shocked at someones EXTREMELY insane ideas.. I like going against the norm.. being different is what makes you stand out.. So stand out from the rest.. So, watch what I do.. Ask questions, I will try my best to answer them.. if you are confused on how I got to Model A, B, C, D, E, F and G. Skim thru my old charts start from 3.22.18. It is about modeling sequencing, and appropriate modeling coherence. I want to try this different approach, to expressing myself in this realm. I have decided to explain each move I make regarding my theoretical modeling technique. This is part 11. Red Bubbles = the past. Blue Bubbles = Now + the predicted future. Statistical Outliers = Emotions + and/or Market Manipulation. We are now at 20 Statistical Outliers. Green Flags = Geometricc Convergence Indicators (There are 13 of them so far). Converging Geometricc indicators = DROP Diverging Geometricc indicators = RISE I want you to pay CLOSE attention to the modeling sequence and the converging geometricc indicators that can be found NEXT TO A GREEN FLAG. What do you see across the modeling sequence?.. Look at the each flag.. What do they have in common?.. Each green flag marks a whole bunch of convergence vectors.. Each vector is made up of a boundary line between one data point and the regression of all the other data points; that either converges inward or diverges outward. Lines that converge INWARD.. lead to a PRICE DECREASE. Lines that diverge OUTWARD lead to a PRICE INCREASE. This is a big deal.. Because it is consistent across the entire Modeling Sequence.. A thru F. In any theoretical modeling framework, each Model must obey any rule that governs the modeling sequence. Right now, following this logic, Model G.. shows that we are headed back down. as we know have convergence vectors present as long as we stay within that Model C prediction line.. WE MUST HAVE AN OUTLIER OCCUR TO BLAST US THRU OR WE WILL SEE A TRIPLE BOTTOM. 85% drop 15% outlier blast off. Every outlier that has occurred in the A-F model sequence.. all 20 of them.. have all been DROPS out of the modeling cones.. none of them have been INCREASES. I think we may witness our FIRST statistical outlier blast out of MODEL G. This is what is playing out now.. from my perspective.. and how the chart is reading out with convergences showing prices drops and divergences showing price increases. Now we have a divergence in the geometricc indicators... This is a massive development, because we are at a intersection with Model C prediction line which was responsible for 8 massive drops.. however.. we keep being denied at the Model C line. WE MUST HAVE AN OUTLIER OCCUR TO ESCAPE MODEL G or we will fall. As always thanks for looking! Glitch420
BITFINEX:BTCUSD
by Glitch420
2
Keep Howling for the Bulls!!! Looking at a 1h chart, we can see that BTC 1.55% just broke the resistance trend line ( in white ), consistently building the 5th Wave of the larger degree. - As Elliott said simple 2nd wave leads to a more complex 4th wave ( vice versa ), which ended right in the golden pocket! - If BTC 1.55% breaks the first resistance level ( 9583€ which is also the top of the 3rd wave ), we can forecast that the 5th Wave may end near the last resistance level ( 10697€ ). More volume would make me more confident about this idea. The golden box drown into the chart can be a good zone for profit taking because there's some confluence, mainly the first algo target (-0.23 in green ) and proximity of the heavier resistance. - We are finding support above the EMA waves indicating a strong move. - After ending the 5th Wave, are we going to see a simple ABC correctiong? I would expect, at least a 50% retracment of the entire move. Anyway we shall wait and see. This is just my perspective, my view of the BTC 1.55% chart. It is NOT a recommendation to buy or sell. I would like to ear your opinions and strategies! Correct me if I am wrong or if I'm missing something. Howling for the Bulls!! AUUUUU! Peace - BadWolf
by TheBigBadWolf
Bitcoin | Short Term Projection Bitcoin is currently trading at 11100, seeing as per the data it is trying to break first 11500, n then 11700 , then only it can rally to 12500 or 13k. Since Bitcoin is winging sideways, i thought of sharing analysis for short term. It is not advisble to jump for short term trades and i never advise to go for short term trades it is only for people who know what they are doing. So as per today's pattern. Bitcoin should find heavy support at 11050 n 10500 mark, and then go back upwards. Looking at chart it is forming a crown pattern and then breaking the upward trend, but again it is 30 min window only. Hence , this analysis doesn't stand for long term projection, Long term projection is still Buy and uptrend. For short term: BTC will 11050 or 10500 mark and then bounce back to 11500. This retrace is necessary for consolidation. Long Term : Buy Short Term : Buy at 11000 and 10500 and wait for trend to reveal more at 11500. If you like the post, please like share and subscribe KryptoTimes
BITFINEX:BTCUSDLong
by kryptotimes