Glitch420

Glitch420 Updated 

This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, and runs thru Model H. Model I is the newest Model being rendered currently.. Each model is strictly built off of the preceding models geometricc regression points. The regression points from each model, creates a geometricc pattern...

Glitch420 Updated 

Design: Historical data, analyzed statistically only reveals one thing about the data in relation to the question be sought. The past. We observe or analyze a data set already formed (traditional TA indicators + traditional statistical analyses) to seek out patterns in the PAST data. This is great, but we want to know the FUTURE. So how do we bridge.....

Glitch420 Updated 

This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, and runs thru Model H. Model H is the newest Model. Each model is strictly built off of the preceding models geometricc regression points. The regression points from each model, creates a geometricc pattern of indicators, that can...

Glitch420 Updated 

This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, and runs thru Model 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...

Glitch420 Updated 

This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, and runs thru Model 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...

Glitch420 Updated 

This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D, Model E and Model F.. Each model is strictly built off of the preceding models geometricc regression points. The regression points from each model, creates a...

Glitch420 Updated 

This is a continuation thread of the theoretical geometricc linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D, Model E and Model F.. Each model is strictly built off of the preceding models geometricc regression points. The regression points from each model, creates...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D and now we have reached Model E.. Each model is strictly built off of the preceding models geometric regression points. The regression...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D and now we have reached Model E.. Each model is strictly built off of the preceding models geometric regression points. The regression...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at Model A, transitions to Model B, and transitions to Model C. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric ...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at; Model A, transitions to Model B, transitions to Model C, transitions to Model D and now we have reached Model E.. Each model is strictly built off of the preceding models geometric regression points. The regression...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at Model A, transitions to Model B, and transitions to Model C and now transitions to Model D. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model,...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at Model A, transitions to Model B, and transitions to Model C. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric ...

Glitch420 Updated 

This is a continuation thread of the theoretical geometric linear regression from 3.22.18. The modeling sequence starts at Model A, transitions to Model B, and transitions to Model C. Each model is strictly built off of the preceding models geometric regression points. The regression points from each model, creates a geometric pattern of indicators, that can be...

Glitch420 Updated 

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...

Glitch420 Updated 

This is a massive update to the continuation of thread, "BItcoin to C." that started 3.22.18. Model A was 100% accurate in predictions. Model B was 75% accurate in predictions. Model C is currently being modeled as we speak. Outliers = Emotion in the market. Last night we had statistically predictable emotion occur.. Before i went to bed, I said that we should...

Glitch420 Updated 

This is a massive update to the continuation of thread, "BItcoin to C." that started 3.22.18. Model A was 100% accurate in predictions. Model B was 75% accurate in predictions. Outliers = Emotion in the market. This morning and last night we had A LOT OF EMOTION OCCUR. Everyone thought it was over.. And the low targets were indicated.. But there were other plans...

Glitch420 Updated 

Hello strangers, On 3.22.18 I made my first prediction. Bitcoin to C. (See related Ideas) I started off with a inverse HS pattern that i noticed, using a statistical outliers as my starting markers and began connecting some regression dots with lines, aiming to find the best linear regression model that i could.. This would quickly turn into what i coined as,...