$HOOD/Robinhood's IPO is tomorrow.
Here's my prediction & how I'll play:
TLDR: I won't. The risk-reward just ain't right.
1/ Best prediction market to get color on retail sentiment is @FTX_Official's tokenized $HOOD/USD.
Left side shows last 1 month. Right shows last 5 days.
What happened on June 19? Why the MASSIVE plunge?
That's when $HOOD announced a price target of $38-42 per share. Before that, retail had predicted $80+! Clearly no one cares for valuation here; the marginal buyer AT THE OPEN is price-insensitive which means downhill from there.
2/ Institutions also gonna sit this one out.
Why? Well here's how IPOs normally work (credit: @matt_levine)
Hedge funds get exclusive access to buy a new stock the day before it trades openly. They buy low & flip it higher the next morning to price-insensitive retail FOMOers.
But Robinhood saved 35% of its shares for retail at the IPO price! No more need to FOMO! 😲
So hedge funds are left wondering "If retail gets in with us, who's left to hold the bag?" 🤯
The asymmetrical advantage--read: systematically ensured alpha-- they normally have is gone!
Let's divide the trading world in 3:
- institutions
- smart traders
- dumb traders
Institutions gonna sit out for the aforementioned reason.
Smart traders read Matt Levine.
So ...
Dumb traders will rush in first & exhaust their buying power, leaving no marginal buyer after them.
3/ Good news for Robinhood is they still win!
The opening price should still come out higher than if Robinhood hadn't allocated any retail shares and just sold all to roadshow hedge funds. In other words, the quick buck that i-banks & funds usually pocket will instead go to RH.
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A friend of mine has zero finance background, never reads Buffett and makes 40% returns trading.
How?
He trades sneakers.
Turns out sneaker-flipping shares a lot in common with value, macro, & algo trading.
Plus there's more alpha.
🧵👇
1/ Market Overview
$2Bn was the size of the US sneaker aftermarket in 2019.
$30Bn is how big it will be in 2030.
Today 4% of all sneakers at release get purchased for immediate resale.
Why does this aftermarket opportunity exist? Why doesn't Nike/Adidas just capture the alpha?
Nike/Adidas are playing the Ferrari game: i.e. release a very limited supply to appeal to exclusivity & watch as the people bid up their kidneys.
Because of such tight finite supply, sneakerheads are the only remaining sellers after the initial drop & they get to set the market.
Unfortunately I read this too late. I learned the hard way that u gotta find product-PROMISE-market fit first.
The longer ur deal cycle, the costlier it gets to skip validation. Mine was 9-12 months!
Each week I write a 🧵about investing, startups, or a cool market segment. All of it is knowledge my mentors & friends have taught me over the years.
🙏💗Now I'm passing it forward.
Here's a megathread of all past & future 🧵s. I'll be updating as we go. If you <3, plz share!
👇
1/ 💸 Jim Simons’ Playbook: King of Quant 💸
90% of active managers fail to beat the market, but Medallion boasts >40% annualized returns.
For the last 10 yrs, hedge funds swarmed at "alternative data" like pigeons at bread crumbs. Why? What exactly constitutes alt data & does it actually generate investment alpha?
👇
1/ What is it?
"Alternative data" is just a fancy term for data that doesn't appear on a 10-K/Q or earnings transcript.
Things like foot traffic at a retail store or credit card orders at a restaurant. Such data helps hedge funds predict earnings better (supposedly, at least).
2/ What are some common data sources?
App usage-- # of downloads over time is used to predict MAUs/DAUs & forward adoption rate; reviews also used to gauge product quality
Supply chain & logistics-- used to predict inventory & sales bottlenecks, pricing/bargaining power, etc.
In 1926 McKinsey was a small tribe of bean counters led by a nobody accounting professor James. 95 yrs later that small tribe grew to a $10B ARR behemoth w/ 90 of the F100 as clients.
How?
What was McKinsey's secret sauce to world domination?
👇
1/ Language.
She who masters language wields the ultimate power of category creation. With this, all else falls into place.
McK’s biggest secret is that it category-created "management consulting.”
Projects aren't jobs; they’re “engagements.”
McK isn’t a bizniz; it's “The Firm”
Firing isn’t firing; it’s “corporate downsizing” and “increasing the bottom line.”
These nuances may seem trivial.
But we humans are storytelling animals. Nuances drive our narratives & narratives shape our aggregate spending. Today management consulting is a $255B industry. 🙀
Ryuk is the biggest Saas unicorn u've never heard of.
$150M ARR.
3 yrs old.
Maybe it’s taboo to learn business strategy from a cybergang. But the ransomware industry-- from supply chain operations to market microstructures-- is truly genius.
👇
1/ Some Highlights
$20B is the annual cost of global ransomware
$5M was the total payout to hackers @ Colonial Pipeline
$170K is the avg payout
2020 saw a 900% growth in fileless malware
67.3M attacks detected so far can be traced back to Ryuk
Every 11 seconds is a new attack
So how much $ do tier-1 ransomware gangs actually make?
The pie chart below shows total ransom paid to the top 15 groups in 2019. By 2020, outflows increased 311% YoY to $350M. Financial success in the cyber underground is clearly top-heavy, tracing out a power law distribution.