What happened on Thanksgiving 2020?

(Alameda edition -- a thread about maximizing)

I'm sure it's no surprise that the threads I post here are "delayed" a bit -- the sorts of insights I'm sharing tend to be about what *happened*, but at Alameda we're trying to figure out what is *about to* happen. How did we do that today?
This tweet *sort of* describes Alameda's game plan headed into the day. We thought it was probably more likely to keep going down just based on Thanksgiving = no U.S. people to buy again -- but mostly? We expected momentum.

All week we've been expecting momentum -- every time there's a move, it triggers liquidations and things are likely to keep going in the same direction. So, we've changed a bunch of our trading strategies to anticipate that.
One example change: we're hedging a lot of the trades we're picking up "by accident" a lot faster. We're making lots of markets, and typically when someone trades against us we hedge in X time. If there's momentum, though, if someone e.g. buys from us, more often than not, ...
the market will keep going up. For instance, take a look at one of our PNL charts from a recent 3hr period for all XRP trading. t1 PNL (marked to 1m after trades happen) is markedly / consistently better than t5 -- this suggests the market consistently moves against our trades.
So after that period, we used this chart as evidence we need to hedge XRP faster -- and that got rid of the issue. We did this across a lot of parts of our systems, and also introduced some new signals into our trading -- e.g. one-way flow in X product -> go the same direction.
Most important, though: if we don't know direction a priori but do feel we know there will be momentum, we adopted the strategy of: when markets move, put on deltas in the same direction, wait til liquidations stall for X seconds, and start hedging out. This worked really well!
We made those kinds of bets all day and hedged accidental deltas fast -- this mostly just went well. We did a lot of tracking OIs, watching liquidations, and trying to guess what would get liquidated next and when they were over -- all amidst REALLY low liquidity.
OK, now, what is "maximizing" and why did I claim that's what this thread is about?
Maximizing is the practice of taking pains to seal up every bit of EV you can. That's a little dumb since of course we're trying to maximize EV, but it's typically applied to spots where a 50% job is good and where many would stop -- but a 100% job is worth WAY more than 2x.
Crazy days are days where maximizing is critical -- doing a good job will make a lot of money, but doing an outstanding job will make a LOT of money. What are some things we did to make sure we were maximizing? Here are just a few of them which made an otherwise good day great.
As I've mentioned, today alts mostly moved with BTC, but their low liquidity + insane OIs often made them move with >1 beta -> so, when BTC moved 1%, often they'd move 1.3% or something (depending on the coin, and also how much got liquidated, it varied).
If BTC starts moving (say, down) and I know there's gonna be momentum, I *could* sell a bunch of BTC before the bulk of the down move and do a good job. But if ETH is likely gonna move the same way but *more* ... why not just sell a bunch of ETH? And also every other major alt?
Well there's less liquidity so you've gotta be a little careful, but, yeah, this works and it turns out is better than just selling BTC! Of course you can also do both, which is truly maximizing, and also what we did -- trade in the momentum-y direction with the *best* coins.
What else? Trading in the momentum-y direction is really only half the battle -- you've also gotta exit, since we know that post-liquidation moves tend to revert. Sure, they don't really revert all the way, so it's not *critical* to nail this -- but you're leaving $ on the table.
So, how to improve? Turns out there are patterns here that, if you put in time to a) get the fastest data b) record it c) spend time thinking about it, you can deduce. So, we did that! And it let us get a *lot* better at determining when to try to buy back after a big crash.
... and also how to size that. Turns out knowing *when* isn't all you need, either -- you've also gotta know how aggressive to be, which is dependent on liquidity, which, as we discussed, was super low today. So studying all these things in real-time is needed to maximize too!
(And that's not even to discuss figuring out what prices to try to send at, whether to do it all at once or staggered, and how all this varies per coin -- all of which we either studied or gained reps / intuition in throughout the day, because today was so fucking weird).
So many other examples! These alerts told us XRP was trading SUPER rich on Coinbase (XRP was *crazy* today) -- level one would be to send there and sell. But that runs the risk of crushing the premium -- to maximize, we added extra edge to improve our average price.
With low liquidity, where your capital is matters a ton. With all that was going on, it would have been easy to leave $ be and try to optimize around that -- but we put in the annoying work of manually freeing capital from bad spreads / places, making our great returns on more $.
We realized that one product we make markets for was losing $ consistently. It was *really* busy, but someone dug in anyway, and it turned out *this* was the key to realizing how low liquidity was -- we were losing because we hadn't sized down and others could take advantage.
(So we sized down a lot of our quotes, not just for the original product, solving problems we hadn't even found yet, and also letting us know that there'd probably be even more momentum than we were originally expecting.)
And so on. In all cases, the pieces for a *good* trade were easy, and the pieces for a *great* one were hard -- when our time is well-spent going for the latter, we're *always* gonna do it, and that's part of what makes us so consistently successful at chasing (and realizing) EV.
For the market, this week was dense. For Alameda, this week was *exhausting*. We're a small team, and we PUSH during periods like this -- it's fine when it lasts a day, but a week? It tests all of us.

Thankful on this Thanksgiving Day to be part of such an incredible team.
Almost included something about "choosing to not sleep this week and sleep a lot next week is maximizing because this week matters more" but that felt "unrelatable."

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More from @AlamedaTrabucco

26 Nov
What happened on Thanksgiving 2020?

(Market color edition -- a thread about why liquidity matters)
I'd describe the past few week as *dense*. A ton has happened -- the market's paradigm has shifted seemingly a dozen times, and the sorts of moves we've seen would be seen as wild if they happened in a *year* in other markets.
Often, periods like this feel like they're building to something -- it's intangible, but there's often a ton of volatility and then BOOM, something giant happens. The vol doesn't always subside (and once Thanksgiving is over I expect more action). But right now? Calmer.
Read 23 tweets
25 Nov
What happened here? Quick thread while I brace for impact, in a way.
Heading into the past few weekdays U.S. time, there's been a kind of predictable pattern. Everyone knows the narrative by now -- BTC is getting bought up by institutional investors and other entities in the U.S. So BTC has been going up in the morning! Makes sense.
But let's suppose that the world understands this pattern -- won't it just go up before that? Well, today that *did* happen -- from about noon HK time right until the big crash at the peak, BTC steadily rose, presumably as people expected BTC to get bought during U.S. hours.
Read 13 tweets
23 Nov
FWIW, this market did end up existing (OTC and a bit otherwise), usually traded around 80 or so. I think the distribution / cost of capital outlined in my thread was pretty reasonable but the risk of ruin estimate was REALLY high -- I think markets were WAY too low.
That's understandable, FWIW! Anyone selling their OKEx capital below fair was just buying insurance, and insurance has to trade at a premium to make sense for all involved. The premium in this case seemed to be like 10% or something, though -- which is a lot!
There were lots of other cool little effects along the way during the OKEx lockup -- speculation about USDT maybe being guaranteed by Justin Sun or Tether led to a HUGE premium, and similar for a few other coins. Messed up a bunch of indices, too.
Read 7 tweets
18 Nov
So, what is BTC doing right now? I don’t *know* what’s driving a lot of it directionally (I do have theories, of course, but I don’t exactly know), but given that “up” is the direction it’s chosen to go in general, there is some headway I can make in dissecting what’s going on.
So, first off, why “up”? There’s been a lot of discourse about this -- some reasons for BTC to go up I’ve seen postulated include lots of institutional buying, increased adoption, “whales,” outflows from faddish products back into BTC, influence from other markets, etc.
My take would be: eh probably a combination. I do think that Biden’s victory and the vaccines were net good for e.g. SPY which has both short- and long-term correlation to BTC in the COVID era, which contributed.
Read 26 tweets
18 Nov
A thread about tails -- or, bullshitting about things that no one can really know for sure.

Something you’ll hear people talk about in trading a lot is “tails.” What are they, and why do they matter so much? To discuss, I think it’s worth delving into some examples, and why they often come down to making your best guesses about things it’s basically impossible to know.
Technically, tails refer to the sections of a distribution graph that are off to the sides -- see the attached graphs. A distribution is called “fat-tailed” if it’s relatively “flat” -- that is, if the probability one of its outcomes is far from the mean is relatively high.
Read 28 tweets
29 Oct
BTC has been quite the roller coaster lately -- just like old times! What’s causing all the BTC volatility lately? Also just like old times, I think it’s a combo of news, SPY correlation, and “weird liquidation effects,” but with a bit of a modern twist.
First, the news. There’s been a lot of big events recently which BTC (and the broader market, but notably BTC) has reacted strongly to in one direction or the other. This is a real throwback to 2017 -- it hasn’t felt like news impacts BTC much lately.
BitMEX KYC, OKEx hack caused BTC to go down, Paypal, the Singapore bank, and general “institutiuonal adoption” caused it to go up. Mostly these were predictable and happened over a short time period, and mostly BTC reverted a bit from each of them over the next hours or days.
Read 18 tweets

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