A nerd trying to make the world a better place.
The DD is never done.
Power to the Players.🎮
Jul 1, 2022 • 9 tweets • 2 min read
My friend from Ukraine is heading to NY for a week to be with friends he knew back in his hometown of Ternopil. Having support from others who are going through the same pains and heartbreak is so important. I'm wanting to do the charity event when he gets back.
Does anyone have any good ideas on what we should do? I figured we could stream and discuss current events. Neither of us has done anything similar to this so, we could use any suggestions, tips, or advice.
Jun 30, 2022 • 7 tweets • 4 min read
I use engineering methods to analysis stocks such as $GME because the overall behavior is so well controlled that it behaves just like a systemic process.
Manufacturing engineering often uses the below chart to monitor live data. The upper and lower control limit (UCL /LCL) are used for quality controls. These values can be defined by a static value defined by requirement or general distribution of the population.
Below is an on-going list of DD I have written. Each subject is organized into general topics with more DD tweeted and linked respectively. Any and all of my future analysis and research will be added to this pin.
In the linked DD, I was able to identify how $GME followed a very set trend to the extent that important dates were almost the same for over a decade. Currently, I've been working on showing how the values also are predetermined.
2/9: One of my many $GME hypotheses is each specific share price range have their own set of "rules" that govern the behaviors. This is called a piecewise function. An example below shows when x > 0, then the x+3 is used to calculate y. For all other values of x, -x is used.
Mar 28, 2022 • 5 tweets • 2 min read
Derivative and constants
Jan 23, 2022 • 10 tweets • 5 min read
1/9: So, here is a quick glance of SOME of the $GME shit showing how all this shit is related. Aight. Buckle up. Get your #GME tittehs jacked. This is only the beginning. First we got to separate this shit into 2 distinct sections: the parabolic shit and the linear shit as shown.
2/9: First the parabolic. I did mathz to determine the best dates to most accurately represent that shit. For easier math, I replaced dates to relative days so math is easier. Anyways, focusing on the high volume days, we get this fun graphs from 11/5/2004 to 01/10/2008.
Sep 13, 2021 • 12 tweets • 8 min read
I believe @michaeljburry is referencing how for #GME 2021 has similar volatile dates as 2019. I've included a previous DD, 2019 vs 2021 share price data (that has been planarized, and other related stuff indicating this as well. #GameStop#math
Here is a close up of that oscillating behavior beginnign in 2019. The volume data on the bottom has shows this signiature swing. You can also see how there are max volume outliers that seem to have an even displacement between each other.
Given how so many of my twitter spaces have been about looking at the #data as well how to prepare yourself for #MOASS with the focused audience on the #n00bie#investor much like myself, I'm wanting to write down my suggestions on how to prepare.
If anyone knows of any related #DD, will you please send it my way so I can use it as a source and give shout outs? I plan on writing this up to be SUPER beginner friendly. Thank you in advance.