173 karma · joined May 17, 2020
On top of that, my opinion of the DTCC (I worked at a self-clearing firm for a while, so we had to interact with them) is that they are intentionally dumb and conservative when it comes to asking for collateral. And until now, this hasn't really drawn much attention, mostly because the rest of the firms out there are a lot better capitalized than RH. My guess for why they're better capitalized is just that they're larger (in AUM), older, and operate in more markets.
I don't like RH, but I wouldn't blame them for getting blindsided by the DTCC to the amount that they did. Props to them for being able to raise the cash, I hope it wasn't all equity, since they won't need that cash in a couple of months. I saw recently that they had $12B in AUM--it doesn't make sense to run with $3B in operating capital.
On the flip side, (1) they’re known to ask people to post more money than necessary, because they like to err on the side of caution, and (2) if they ask you for money, you just post it, or you risk being kicked off from trading US equities for a long time.
All that said, my personal opinion is that they couldn’t check in a code change to handle the increased collateral requirements, so the only feasible and somewhat legal way to save RH was to prevent its users from buying more. Pretty shitty, but then again, ever since RH crashed on 2020-02-29 because none of their devs thought of leap years, I can’t say I expect very much from them technology-wise.
That’s my take on mentors—and generally, I feel that mentors aren’t people who do this to get paid. Alternatively, if you’re looking for someone to take on the role of a tutor and willing to pay up, you could go on Stanford/MIT’s popular CS classes, find out who were the TAs last semester, and reach out to them offering 2x-3x the pay.
I saw people comment on the "fast<->smart" continuum, and in this context, I believe they mean smart=computationally intensive. (An extreme example is a stat arb shop running its portfolio optimizer.) But there's another way to gain an edge, which is to iterate quickly on your "fast" algorithms and develop them so they take advantage of opportunities that are only partially exploited by competitors. Java seemed pretty good for that purpose for about a decade. Things like JVM warmup, GC, individual ultra-low-latency responses whenever necessary, were all dealt with after the fact.
For all I care, the article could have been “Fed props up economy, retail investors buy QQQ and its ETF manager wins big.”
On the other hand, I feel like there are plenty of people who have either graduated with a humanities degree or simply do not have the ability to go to a good technical school: I would hope that this provides a new on-ramp for people like that, and it actually adds value to people’s lives. Even though as most people here have stipulated, this seems commercially motivated by Google’s interests.
[1] https://en.wikipedia.org/wiki/Professional_technical_school
Would you guys be open to providing a self-hosted solution for large clients?
There are a couple of large firms that make 5-6 figures a day from arbitraging the closing cross. I'm sure they'd love to run their strategies all day; whether they would make more money than HFTs make now is anybody's guess.
A single data point, but a company I held equity in went public 4 months after a liquidity event in which shareholders were allowed to participate. The IPO went at ~50% above the price of the private transaction. If I were you, I wouldn't sell all of my shares now, especially if you think there's a good chance the company will go public very soon. Selling some fraction makes sense, as others have said--take some money off the table, depending on how much of your total net worth is in this equity stake.
As you might have noticed, the tech sector is in very high demand by investors right now; I wouldn't at all be surprised if VCs and anyone within the company is rushing to IPO, and it doesn't surprise me that investors would want to buy some extra shares at pre-IPO prices. This can all come crumbling down, as some stipulate on HN and elsewhere. Just to mention it as an option: you could partially reduce the risk of holding all or fraction of your shares by shorting a small amount QQQ. If the IPO gets postponed/canceled, it will probably be correlated with the tech sector dropping, so you'll make a modest amount of money on that.
[1] https://www.amazon.com/wheel-layer-Chassis-Encoder-Arduino/d...