
ۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗۗWolf Down Crypto Data :3. Was at @castle__cap. Data analyst. Be helpful today. Funemployed. Not a furry???
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Joined March 2015
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This pinned tweet will be used to save interesting notes on market microstructure as they are rare to come by, and we can learn a lot of first principles
By understanding the basics, we know what is considered normal, when anomalies arise, and therefore identify opportunities
does this also mean kraken and their perps is kinda cooked? CRCL and COIN should also giga pump?
trade[XYZ] launched its first market on Hyperliquid 381 days ago. Today, we are joining forces with ICE, parent company of the New York Stock Exchange, to bring perpetual futures on Hyperliquid to U.S. regulated markets.
I don’t usually write long posts, but today merits reflection.
For years, builders across this industry have worked to show that open, onchain markets could support price discovery, manage risk, and withstand stress to the standards of traditional market infrastructure, all while staying open when and where those markets aren’t.
Our achievements stand on the shoulders of those builders. And today, the company that owns the New York Stock Exchange has chosen to build upon the work of every developer, trader, market maker, and user who took a chance on us and our markets. We share this moment with all of you.
Markets are shaped by their participants. A new generation of investors trades from their phones, across asset classes, at any hour of any day. Until Hyperliquid, the right infrastructure for those markets didn’t exist.
Building these markets was hard. It took novel approaches to pricing, funding, and risk, refined with real capital at stake, in markets that don’t close. It also meant earning the trust of the people trading on them. We’re honored that the community recognized that effort and responded in kind.
That trust is what allowed us to grow our volumes to a ~$1 trillion annualized run rate in just over a year, to help pioneer new instruments like pre-IPO perps, and to earn the confidence of storied institutions like S&P Dow Jones Indices. That’s why ICE has chosen trade[XYZ] as its exclusive partner to bring 24/7 perps to the U.S.
Shifts in technology have pushed markets toward greater transparency, better price discovery, and broader access: from the coffee house to the curb exchange, ticker tape to the telephone, the trading floor to digital exchanges.
ICE helped write that last chapter. In 1997, Jeff Sprecher bought a small power-trading technology business for $1. ICE launched as an electronic energy marketplace in 2000, helped digitize major commodity markets, and acquired the NYSE in 2013. It has grown exponentially because of this appetite for innovation. That’s the partner we wanted: a partner that looks forward and embraces progress.
Americans deserve access to the most innovative markets in the world, and the protections of U.S. regulation. With trade[XYZ] and ICE, subject to regulatory approvals, they’ll have both.
The difference isn’t just access. Perps don’t expire, so traders never have to roll positions, and liquidity concentrates in a single deep market for each asset. Cross-margining enhances capital efficiency by letting one pool of collateral back positions across stocks, commodities, and crypto. Underpinning it all are atomic clearing and settlement, real-time risk management that enables continuous markets, and universally applied rules that anyone can verify. This is the next chapter we’ll write together.
My responsibility, our responsibility, is to now build markets worthy of the confidence our partners and our users have placed in us. Our commitments will not waver: to fair and transparent markets, to diverse markets, to low costs of execution, and above all, to market integrity.
All of this in pursuit of one thing:
A universal exchange, open around the clock, coming to the United States.
We’re proud to have deployed more than 100 markets on trade[XYZ]. But measured against the opportunity ahead, we’ve barely started. There is an enormous universe of assets we haven’t reached, alongside things people want to trade that have no established market at all. Wherever there is demand to trade an asset, we want trade[XYZ] to be where its price is discovered.
Global stocks, commodities, bonds, pre-IPO companies, compute, new indices, digital assets, interest rates, equity baskets, volatility products, alt assets… Anything. Anytime. Anywhere.
Ultimately, everything you own should work with everything you trade. Picture a headline breaking on Saturday night. You should be able to post tokenized shares as collateral, hedge your portfolio with an index perp, add exposure to oil, and take a view on a company that has not yet gone public. All in one account, all on one risk engine, before any traditional market opens. trade[XYZ] and Hyperliquid were built for this.
I hope someone opens their first investment account years from now to find that trivial, and to wonder why their predecessors needed so many separate financial relationships. Getting there will take liquidity, reliability, trust, and prices people have reason to believe. It will take years. I’m prepared to spend them.
Finally, a few thank yous.
First to the XYZ team: For the tireless nights and for committing to this vision before it was obvious.
To Jeff Sprecher and ICE, with special thanks to Michael Blaugrund and Trabue Bland who championed us throughout: You’re a world-class, technology-embracing team that proves innovation and scale are in fact not at odds.
To Stan Druckenmiller: For your partnership and helping us turn the next page.
To Hyperliquid Labs: For being the best partners we could ask for. You set an impossible standard, one we continually strive to meet. @chameleon_jeff, @iliensinc, @xulian_hl
And most importantly, to our users: You traded these markets when no one thought it mattered.
Guess what? It did.
I love eating this jelly because the spice is intense, but my fear has always been that it cuts the side of my mouth due to its aluminum packaging and I become the Joker.
Haha for the longest time I've been using Google's AI search for short coding qns since I am an "add new tab" away (plus no quotas)
but they patched it now 😭. It refused my coding qn...
~~🌸Just earnings miss things...🌸~~
yo bro wtf im in intel because of this tweet hahaha
and earnings is today
the irony of bubble boi in jail right before the intel report tomorrow is too much.
teapaw.org/SingularityRes/status/…
Such a good post. Good product does not mean good stock/token. BABA, PDD, CHA are similar too.
Tokenomics is a whole different topic than the fundamentals of a venue and doesn't always share the same path, the main edge in for example HYPE was conviction in the long term product ignoring price discovery noise
Would you be able to identify on this volume chart where HYPE did a 10x, then did a -75%, followed by another 5x ?
I’m not trying to doubt Hermes or nous or teknium or whatever but at the speed of their development and their openness of their codebase it’s low key scary that a bad PR can go through.
I’m saying this as a big fan and user of Hermes
Claude just saved my ass from a North Korean supply chain attack
Like actually
Thank you @AnthropicAI
This is an interesting qn as this sorta happened before. Ask your AI “Hotel bed wars”
TLDR:
Hotel bed quality increased but hotel margins gets squeezed
From a customer segmentation PoV, not everyone needs it
ok gotta revamp the morpho datasets on kaggle, tbh it's atrocious. ashamed of that work tbh
Trading in itself is very tiring and it’s unstable in terms of edge and earnings, so naturally you have a sense of paranoia to always learn something new and never really relaxing.
Those that relax are managers not operators, even so they won’t do it for the love of the game
This wash trading query was crazy. I would have used concat to make a group and stinky joins instead of using greatest and least.
And TIL you can run count in HAVING after a "group by" wow
Also TIL even in HAVING, you are still referencing the base table, not columns in select.
TIL you can use qualify on the aliased column as opposed to writing the clunky window fx in the qualify clause
i always dread using qualify because tbh I am never clear on the order of operations lol. This the part of SQL I don't like sometimes


















