Bitcoin to C. Model C + Model D. Predictive Modeling?
ที่อัปเดต:
Hello Strangers,
We are still in the midst of forming Model C. Later today, Model C may end and Model D may begin.
I am using geometric linear regression modeling to make my charts. I have 0 experience in Technical Analysis. I am using a theoretical analysis based off of my personal research. Consider the chart as a very unique experiment that you all get to be apart of..
The geometry is indicating a nice movement forward after leaving some very intense boundary lines. Emotion has been ultra high. A mix between Hope + Disbelief + Confusion + Denial + Excitement. Modeling behavior is extremely hard. It is even harder when you are not observing the behavior directly like I do with my clients. I have to observe trends in the data sets and make some sense of out the behavior of geometric patterns given off by a 24/7 worldwide behavioral trend line; Cryptocurrency.. is a unique phenomena in behavioral research and psychological research due to the fact that the market can both influence and drive human behavior and consequences can occur as a result..
We are all here for another reason though.. and that is some type of reward.. We get something from being here.. Now what that may be will vary per individual.. Whether that is money... or interaction, or intellectual curiosity.. you reap a reward, but not without consequences; good or bad.
My theoretical work is unique. My application of my theoretical work to crpyto is a grand experiment. One, in which is working out very interestingly and extremely surprisingly accurate.. I make these charts.. Based off of my understanding of sacred geometric shapes, statistical analyses (linear regression), and massive amounts of research on the brain and consciousness. Looking specifically for geometric patterns between neural networks in the brain. I study neural network modeling based on raw EEG data. There is a pattern in the trends you all look for with your TA's. Whatever tool you use.. it all is aiming to detect similar parameters in the data to find movement. I look for a data trend in neural networks. So i apply that to crpyto, and incorporate my perspective based strictly off of human behavior. PERIOD.
Geometry + Behavior = Geometric Linear Regression.
I am not trading off my modeling. Not yet at least. This is a way for me to become better at my research. This modeling is PREDICTIVE MODELING based off of behavior trends WITHIN the data set of bitcoin in particular.
So join me for this experiment.. It is going to be a lot of fun.. I do have an ego. I like criticism.. and i am always willing to learn. Just do not doubt my abilities, when passion takes over..
Thanks for looking,
Glitch420
We are still in the midst of forming Model C. Later today, Model C may end and Model D may begin.
I am using geometric linear regression modeling to make my charts. I have 0 experience in Technical Analysis. I am using a theoretical analysis based off of my personal research. Consider the chart as a very unique experiment that you all get to be apart of..
The geometry is indicating a nice movement forward after leaving some very intense boundary lines. Emotion has been ultra high. A mix between Hope + Disbelief + Confusion + Denial + Excitement. Modeling behavior is extremely hard. It is even harder when you are not observing the behavior directly like I do with my clients. I have to observe trends in the data sets and make some sense of out the behavior of geometric patterns given off by a 24/7 worldwide behavioral trend line; Cryptocurrency.. is a unique phenomena in behavioral research and psychological research due to the fact that the market can both influence and drive human behavior and consequences can occur as a result..
We are all here for another reason though.. and that is some type of reward.. We get something from being here.. Now what that may be will vary per individual.. Whether that is money... or interaction, or intellectual curiosity.. you reap a reward, but not without consequences; good or bad.
My theoretical work is unique. My application of my theoretical work to crpyto is a grand experiment. One, in which is working out very interestingly and extremely surprisingly accurate.. I make these charts.. Based off of my understanding of sacred geometric shapes, statistical analyses (linear regression), and massive amounts of research on the brain and consciousness. Looking specifically for geometric patterns between neural networks in the brain. I study neural network modeling based on raw EEG data. There is a pattern in the trends you all look for with your TA's. Whatever tool you use.. it all is aiming to detect similar parameters in the data to find movement. I look for a data trend in neural networks. So i apply that to crpyto, and incorporate my perspective based strictly off of human behavior. PERIOD.
Geometry + Behavior = Geometric Linear Regression.
I am not trading off my modeling. Not yet at least. This is a way for me to become better at my research. This modeling is PREDICTIVE MODELING based off of behavior trends WITHIN the data set of bitcoin in particular.
So join me for this experiment.. It is going to be a lot of fun.. I do have an ego. I like criticism.. and i am always willing to learn. Just do not doubt my abilities, when passion takes over..
Thanks for looking,
Glitch420
ความคิดเห็น
So far the modeling has been spot on.. Not bad.. ความคิดเห็น
New Modeling Cone.. I explain how i make it.ความคิดเห็น
ความคิดเห็น
Above i said that Market emotion can give us an outlier when we get close to the end of the modeling cone.... well like clockwork, emotions did not fail this time..ความคิดเห็น
New cone.. Market emotions running high.. Outlier possible?ความคิดเห็น
Outlier ? or right up the blue geometric line? I have no idea.. ความคิดเห็น
Cone expanded. New geometric indicator connected..
การนำเสนอที่เกี่ยวข้อง
คำจำกัดสิทธิ์ความรับผิดชอบ
ข้อมูลและบทความไม่ได้มีวัตถุประสงค์เพื่อก่อให้เกิดกิจกรรมทางการเงิน, การลงทุน, การซื้อขาย, ข้อเสนอแนะ หรือคำแนะนำประเภทอื่น ๆ ที่ให้หรือรับรองโดย TradingView อ่านเพิ่มเติมที่ ข้อกำหนดการใช้งาน