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Jun 29 • 14 tweets • 15 min read
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.

The DD is never done.

#suckmyballshedgies
$GME Cycles:

7/6/21: reddit.com/r/Superstonk/c…

7/7/21: reddit.com/r/Superstonk/c…

7/8/21: reddit.com/r/Superstonk/c…

8/1/21: reddit.com/r/Superstonk/c…

8/9/21:
reddit.com/r/Superstonk/c… Image
The #Algorithm. The Ouroboros: Characterizing #GameStop share price and reverse engineering #HFT #algos.

10/4/21: Part 1
reddit.com/r/DDintoGME/co…

11/18/21 Part 2
reddit.com/r/Superstonk/c… Image
The Burning Cogs in The Wheel: Identification of Business, Investing and Financial Corruption

6/6/22: Part 1
reddit.com/r/Superstonk/c… ImageImageImageImage
#GME Timeline of Closing Price vs. Date. We Endure.

4/15/22:
reddit.com/r/Superstonk/c… Image
GME Misc:

3/29/22: The #Trading Halt was a Removal of the Buy Button
reddit.com/r/Superstonk/c…

4/4/22: The #Konami Code on GME's twitter profile bio was inspired by an article written by the founder of #Domo Capital

reddit.com/r/Superstonk/c… ImageImageImage
4/15/22: #Stock #Dividend and Why It's Lit AF
reddit.com/r/Superstonk/c… ImageImageImage
GME Price #Modeling:

6/13/21: Simple linear #regression using real world #data from an enginerd that has a hard on for #statistical #modeling and #analysis.
reddit.com/r/Superstonk/c…

6/14/21: Simple linear regression using real world data from an enginerd.
reddit.com/r/Superstonk/c… Image
6/25/21: Finding the Top Gaining Days and Finding the Correlation: T + 21 but with #Math.
reddit.com/r/Superstonk/c…

6/26/21: A look into when $BTC began to correlated with GME with lots of pretty pictures. <3!
reddit.com/r/DDintoGME/co… ImageImageImageImage
Other Misc:

5/18/21: It's never about free speech. It's always about money: #Musk, #Twitter, #Tesla, #Lyft, #Uber, #Google, and More - Part 1
reddit.com/r/StocksMarket… ImageImageImage
6/14/21: Determining the true GME share price and accounting for biases using real world data from an enginerd that has a hard on for statistical modeling and analysis.
reddit.com/r/Superstonk/c…
6/15/21: Simple linear regression using real world data from an enginerd.
reddit.com/r/Superstonk/c…

6/16/21: Simple linear regression using real world data from an enginerd.
reddit.com/r/Superstonk/c…
6/16/21: continued: Simple linear regression using real world data from an enginerd. A possible explanation for the increased deviation from the expected share price value.
reddit.com/r/Superstonk/c…
6/17/21: Simple linear regression using real world data from an enginerd.
reddit.com/r/Superstonk/c…

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More from @pwnwtfbbq

pwnwtfbbq Profile picture
Jul 1
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.
If anyone knows of a solid app or website that could easily show total money collected to aid in transparency, please let me know.
Read 9 tweets
pwnwtfbbq Profile picture
Jun 30
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. Image
As a very general statement, $GME's"high-low" values appear to be constant despite how the average values ranged from ~$120-$300. If ~$120-$300 is considered the average, the UCL and LCL are static and not relative ratio to the values suggesting a user defined variable. ImageImage
Read 7 tweets
pwnwtfbbq Profile picture
Jun 30
When @CEOAdam was borught onto $AMC, the company immediately went into billions of dollars in debt. Image
@CEOAdam @silverlake_news and @egon_durban have a long history of bankrupting companies once a partnership is made. ImageImage
@CEOAdam @silverlake_news @egon_durban Silver Lake recently help the acquisition of @VMware. It was only a few days after the department of homeland security told everyone to not use this software due to a cyber security breach from the North Koreans did @Broadcom purchase the company for $61 billion. Image
Read 6 tweets
pwnwtfbbq Profile picture
Mar 29
1/ 9: DD Teaser drop!

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.

reddit.com/r/Superstonk/c…
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.
3/9: Looking at GME, an absolute min of ~$3.75 occurred on 2/11/2003. This low was not seen until 7/20/20. Oddly enough, this was also the date I have identified when BTC started to move directly with GME. That DD is here:

reddit.com/r/DDintoGME/co…
Read 11 tweets
pwnwtfbbq Profile picture
Mar 28
Derivative and constants
Read 5 tweets
pwnwtfbbq Profile picture
Jan 23
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.
3/9: To figure out the limits, we set those regression equations to 0 to determine essentially what day a limit occurred. From those dates, we can then figure out more important numbers, specifically c_1, along with more important dates.
Read 10 tweets

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