Max Olson Profile picture
18 Feb, 11 tweets, 2 min read
More on the $GME/short-squeeze saga using this framework.

The investment thesis here in the weeks leading up to the major squeeze was pretty sound -- especially if you understand general human psychology & how market structure can provide an edge.
No good trader would fool themselves into thinking investing in $GME at $50 or $AMC at $20 was based on business fundamentals. But it doesn't need to be. Again, investing is about the odds, and only betting when you have an edge.
What was the edge here? A complete break down of collective accuracy of the market, driven by herd mentality + forced structural buying.
Each of these stocks was like a dying nightclub. But you don't have to own the nightclub to profit: you can get a cut of profits for only 1 or 2 nights [bet on short-term supply & demand of stock] or even make prop bets on how many people will show up in given night [call opts]
This is where basic psych comes in. People are memetic herd animals -- they want to do what other cool people are doing, especially if something becomes a ~~Story~~. This was breakdown #1.
#2 is a basic understanding of the mechanisms that force short sellers to buy back their shares after so much losses. (Beyond the scope of this thread, but checkout the original Reddit $GME pitch for more) reddit.com/r/wallstreetbe…
Back to a prop/options bet on 1 of these "nightclubs". The market is giving low odds they will be packed with people on any given night (with Covid & all). Lets just say 10/1 odds. But you think this is being skewed by relying too much on long-term chance these clubs will die.
You also know there is momentum building for people to go there, & (I know I'm stretching the analogy here but bear with me) that there's a *structural obligation* for some to go there once enough people show up, further increasing herd mentality.
So what are your odds? Even if you're realistic & think this is far from a sure thing, you think there's at least a 40% chance it happens. So 60% you lose entire bet, 40% chance you get 10x. That's… a pretty good bet.
And if you spread a handful of similar bets over different durations & multiple "nightclubs" it minimizes risk even further. (This is where Kelly allocations come in to properly size 1 or basket of bets)
This takes a very different mentality than traditional "value" investing based on business fundamentals. But it's investing nonetheless, and not just about luck.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Max Olson

Max Olson Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @maxolson

18 Feb
This is going to be a LONG thread on how I think about active investing.

They say all good investing is value investing. This is true in the sense that you're buying into a situation where the sellers are underpricing potential outcome. But…
Value investing doesn't = valuing income flows at $x and buying them at $x/n.

The essence of investing is in variant perception of probability distributions. Let me explain:
Market price is the result of expected value of potential future outcomes. So you could draw out a "market" probability distribution. For most stocks it would look bell-curvish. The price represents the $ value of area under the curve.
Read 29 tweets
29 Dec 20
1/ One of the models I use most in business analysis is tech stack trees 🌳

Every product is built on and enabled by 1 or more technologies.

Understanding where a product fits on its higher-level tech stack is an important part of any long-term strategy or investment thesis.
2/ A tech stack "tree" is higher-level version of a traditional tech stack. It shows not only the tech something is built on, but what's built on it. A typical stack tree looks something like this:
3/ Here's a few examples of stack trees from the tech industry, although they can be drawn out for products *any* industry. #AMZN #NVDA #TWLO
Read 8 tweets
17 Jul 20
🧵 1/n A quick primer on GPT-3 for anyone who's heard about it but doesn't know what it is.

Why? GPT is a game-changer in AI that has the potential to disrupt a huge amount of areas, potentially leading to truly generalized AI problem solvers.
2/ GPT is a series of language-based machine learning models built by @OpenAI. The goal of language models is essentially text generation: look at a sentence → predict the next word(s).
3/ The premise behind the GPT models: how much data & computing power can you throw at an unsupervised deep learning model? What are the performance limits before you start getting diminishing returns?
Read 16 tweets
21 May 20
1/ Modes of Effort

Why can't you manage a research lab the same way as a construction project? How were we able to accomplish large scale collaborative efforts such as the Apollo program or Manhattan Project, but can't do the same thing for curing cancer?
2/ Efforts (pursuits of some objective) can be classified based on the certainty their means and ends.

This can help us guide management methods and understand why some efforts are harder than others.
3/ How do we classify efforts into modes?

The best paradigm I've come across is the How/What quadrants. In 1994 Eddie Obeng described 4 types of projects: quests, movies, painting by numbers, and fog. Image
Read 13 tweets
6 Mar 20
How will the virus affect attendance of venues in the upcoming years (not just the next few months)? Valuations for companies like Six Flags $SIX looking enticing. Esp. when majority of attendance is in summer months, and there's some viral seasonality.
For $SIX looks like SG&A margins will matter a lot if rev drops. Quick & dirty valuation:

FCF@ Avg pretax margins of 27%: $400M
* 14x multiple
= $5.7B
- $2.1B net debt
- $0.6B noncontrolling interest
= $3B equity value
/ 84.6M shares
= $36 per share vs. $21 now
If they can hold pretax margins at 32% (2018:34%, 2017:33%), value/share ~= $50.

If 3-5yr margins drop to 24% (12 year avg), value/share ~= $28.

Their worst recent sales year, 2009, saw sales drop 11% and margins fall to 13% before recovering in 2010.
Read 4 tweets
4 Aug 19
1/ A recent lightbulb moment of mine was that competitive advantage can be represented visually as 1 or more feedback loops. These create an advantage "flywheel" that maintain and grow a moat over time.
2/ Here's a few archetypical examples of common advantages represented as feedback loops:
3/ And some real-world examples I sketched out that combine multiple advantages into the flywheel engines driving growth:
Read 7 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!