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141 W. Jackson Boulevard
Joined June 2026
Balyasny's founder Dmitry Balyasny on why his PMs were trading too much and not investing enough: "One of the keys to enduring success in the money management business is finding a balance between trading and investing." "You can't survive in a hedge fund type model just being a long term investor, and you can't really scale in a significant growing hedge fund being just a super active trader." "Folks were really trading a little bit too much in the fundamental equities business, and were a little bit overly focused on each data point. We were kind of missing the forest from the trees." "We were chopping ourselves up a little bit too much, missing some of the bigger winners and creating a lot of trading slippage costs." "Find investments where there's multiple ways to win, where you're not playing for one particular data point. You're playing for a whole series of data points that's going to revalue that security over time."
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Every top Netflix show had the same viewers. One ran 3x at the water cooler. Chris Camillo turned $20K into ~$80M over 18 years trading 'social arb' — alternative data before Wall Street sees it. Chris Camillo explains: "Every top Netflix show had roughly the same amount of viewers. Orange is the New Black was roughly the same as Stranger Things." "The metric wasn't how many watch it — it's how many people are talking about it at the water cooler." "That conversation spreads: 'I keep hearing about Stranger Things. Maybe I'll get Netflix and watch it.'" "Stranger Things was about 3x any other show in the history of the company." "That was one of the biggest trades in the history of Netflix — the quarter it came out and the subscribers it grew." "The only way to assess it was monitoring conversational volume against historic benchmarks of past hits."
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Prime Macaya Capital's Managing Partner Alix Pasquet (@alixpasquet) on why his fund refuses to compete with the pods: "A lot of game theory is very technical and mathematical, but it really can be reduced to one thing, which is play weaker players. Don't get into the ring with Mike Tyson." "We don't try to compete with the pods. They are richer than we are, smarter than we are, move faster than we are, have more resources, and in many cases are better looking." "We don't try to compete with them with who they hire. They're starting to interview sophomores and juniors in college now. I can't afford to pay an analyst $300,000 plus a bonus." "It's very difficult to hire and compete with Ken Griffin or Dimitri or any of these guys. We have a lot of respect for them. We admire them greatly. We've studied them. We don't try to compete with them." "Whereas pods have been lengthening the type of trades they do in terms of weekly, monthly, we tend to like dynamics that are 6 to 18 months in length, and even above that."
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This is great — thanks @Ritholtz
Balyasny's founder Dmitry Balyasny on what a $50 million trader pay package actually is: "If you have something that says Trader XYZ lost $50 million, that sounds like a giant number, but you have to remember, we're managing $28 billion." "A typical portfolio manager might be managing a couple billion in gross market value. So that's 2.5%, which is not good." "That pay package is composed of lots of different things." "It might include a guarantee for the time that the person is out of the market. It might include a budget for hiring out their team." "And it also might include extra upside incentives which are only paid out if the person delivers a certain amount of P&L." "Usually with that type of number, you're budgeting that person to generate P&L of one hundred million plus a year."
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Great line: "The fact that we're debating about a bubble means there's a bubble. If people are trying to explain away a bubble, there's a bubble. It's that simple."
Ex-Point72 Head of Prop Research Kirk McKeown on the simplest bubble test there is: "What's my body of work that I can look back to for bubble dynamics? It's obviously the internet bubble, the housing bubble." "You can look back to the Great Depression. Sorkin just wrote a piece on it." "You need a corpus of knowledge that you can draw on, you don't have to ask a robot for. So read the books, do the work." "Having a competitive advantage takes work. And it's not asking a chatbot. It's reading a book." "The fact that we're debating about a bubble means there's a bubble. If people are trying to explain away a bubble, there's a bubble. It's that simple."
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Citadel's CEO Ken Griffin on why there are 'almost certainly' bubbles in AI, and why that's normal: "So the big picture is there's almost certainly bubbles within this moment in time. And any radical transformation of our economy is generally intertwined with a bubble." "I remember back in 1999, 2000, the metrics that we used to value Internet companies. And let's be clear, some of these Internet companies had pretty fanciful business models." "But I mean, I just wish I'd kept my Amazon stock from that moment in time." "And the Internet, which was the great bubble. Could it be more of a part of our daily life today than it is?" "What's left in the wake of these bubbles is often game-changing for the world. And the companies that are on the other side of that bubble are the market leaders for decades to come."
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Balyasny's founder Dmitry Balyasny on what a $50 million trader pay package actually is: "If you have something that says Trader XYZ lost $50 million, that sounds like a giant number, but you have to remember, we're managing $28 billion." "A typical portfolio manager might be managing a couple billion in gross market value. So that's 2.5%, which is not good." "That pay package is composed of lots of different things." "It might include a guarantee for the time that the person is out of the market. It might include a budget for hiring out their team." "And it also might include extra upside incentives which are only paid out if the person delivers a certain amount of P&L." "Usually with that type of number, you're budgeting that person to generate P&L of one hundred million plus a year."
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Citadel's Head of Global Equities Justin Lubell on why Citadel doesn't mind when two of its investors land on the same idea: "One of the great advantages that we have at Citadel is that we don't worry if people do agree. It's not a problem for us." "We have a really large capital base, and the positions that we can take because of that can be large." "If one person has a great idea and another person discovers the same great idea, if it's that great, we would love to own twice as much. If it's really great, we would love to own three times as much." "So we don't actually look to make sure that there is diversity of thought. We want there to be the best thought."
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Ex-Point72 Head of Prop Research Kirk McKeown on the simplest bubble test there is: "What's my body of work that I can look back to for bubble dynamics? It's obviously the internet bubble, the housing bubble." "You can look back to the Great Depression. Sorkin just wrote a piece on it." "You need a corpus of knowledge that you can draw on, you don't have to ask a robot for. So read the books, do the work." "Having a competitive advantage takes work. And it's not asking a chatbot. It's reading a book." "The fact that we're debating about a bubble means there's a bubble. If people are trying to explain away a bubble, there's a bubble. It's that simple."
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A badly run store. One brilliant candle display. Pabrai on Sam Walton’s habit of learning from anyone. Mohnish Pabrai explains: "Every single thing at Walmart came from somewhere else. Everything was copied." "He meets Sol Price, looks at Price Club, says 'No-brainer.' He sets up Sam's Club." "Walmart came from Kmart." "'There is no human who has stepped into more retail stores of my competitors than I have. And no human after me will ever beat that record.'" "A manager says 'Sam, that was such a poorly run operation.' Sam says: 'Yes, but did you see the candle display?'" "Sam said, “You can learn from anyone. You can learn from the biggest idiot operator.”" "He'd go 5:30 in the morning to the distribution centers with donuts, sit with the drivers, and ask: 'What do you see when you go in?'"
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Balyasny's founder Dmitry Balyasny on the 2008 redemptions that took half of Balyasny's capital: "When Lehman went under, we made the decision to go to cash." "For the next three or four months, people just wanted their money." "I remember sitting waiting for the money to come in from the brokers, and they're like, no, no, the wire is coming, the check's in the mail. We're like, it's not here. Day after day, it's not here." "We wound up getting hit with redemptions for probably close to 50% of our capital. And we decided not to gate people, as we were liquid, and just didn't think it was the right thing to do when we could pay them the money that they needed." "So we had to reach into our pockets and put more money into the firm." "Then investors came back, and they appreciated that you gave them the money when they needed it and treated them fairly."
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Prompts vs. embeddings: AQR's Managing Director Peter Hecht "You literally ask ChatGPT or Claude, is Apple cheap or expensive? Give me your analysis and give me the details why you think it's cheap or expensive. That's prompt, okay?" "Then there's a way of using a large language model where you feed in documents, financial documents, broker reports, earnings reports, and you go under the hood of the large language model and you take what we call a word embedding, which is a numerical representation of the text." "When we use large language models, we're doing the latter. We're not doing the prompt-based approach." "All of the special sauce is not in the large language model. The fact that you can get a numerical representation of the data is sort of a commodity." "The hardest part is can you find whether that numerical representation of the data can predict future returns." "That is very difficult to do, requires a ton of skill and it's highly subjective. And that's why I don't think there will be convergence."
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Citadel's CEO Ken Griffin on why AI is filling in competitive moats with bulldozers: "In that year, the advancement in AI models has been absolutely tremendous. And there's no doubt that in a number of fields, AI is literally game-changing." "Work that used to take our PhDs and masters four to six weeks to complete, high-level, white-collar jobs, press a button on a keyboard, wait a few hours, there's the exact same answer." "When I went home after seeing this, it was a Friday, it was a very depressing moment. You're seeing the threat to white collar jobs playing out." "As a business owner, you're seeing your competitive moats be filled in by bulldozers." "And then at the same time, you're thinking that this will be a golden era for entrepreneurs. For the young entrepreneurs in this country, what a golden opportunity this is."
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Balyasny's founder Dmitry Balyasny on the young PM who bought a Ferrari with his first bonus: "The right psychology and mindset is probably the most important." "I remember interviewing a young PM years ago. He'd only been trading for a short period of time, and it randomly came up that he used his first bonus check to buy a Ferrari. Not a good sign." "You want people that are fairly humble, that are always trying to get better, always trying to learn, a real craftsman mentality, as opposed to a real hubris type of mentality where they think they have it all figured out, because the market will definitely humble you." "One of the things that helped me when I was starting off was just going around to different offices and sitting next to different top traders, and just asking questions and learning about what they did."
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Stan Druckenmiller’s ‘curse of the reserve currency’: easy financing can let short-term policy mistakes accumulate. "The reserve currency is an unbelievable privilege. That privilege, while you have it, allows you, if you choose to do so, to run very myopic policies that don’t address the long term." "Markets don't check you because you're being funded by outside sources." "The fiscal recklessness, the monetary recklessness — no other country could have pulled that off." "It's great while it lasts, but it enables you to keep digging and digging into a deeper hole until the consequences come to bear." "It probably, to some extent, you do it enough, you lose the privilege, and then you only have the consequences." "That's why I call it the curse of the reserve currency."
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Ex-Two Sigma quant Omer Cedar on why the costliest bias for smart managers isn't overconfidence: "They have an idea, they've done the research, they've done the analysis, they really know the stock, they really know the company, but they only put a 1% or 2% position down. Why? Why not a 4%? Why not a 5% position?" "Let's be conservative, let's see how this plays out. We're not betting and gambling on Robinhood here, we're being thoughtful, we're stewards of the capital of our investors." "It turns out that a lot of the alpha is actually lost in that initial stage of being conservative." "The bias is not necessarily to be overconfident when you're a really smart and talented and disciplined institutional investor. The bias is oftentimes on the opposite side: to be too conservative and not capture a certain amount of alpha up front." "That ultimately ends up sometimes being the difference between a manager earning, call it, five to six percent a year and a manager earning ten to eleven percent a year. That's how big those biases can sometimes be." "You're still too conservative relative to the alpha. And the data will disprove you again and again, and yet you still make the same mistake."
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Citadel's Head of Global Equities Justin Lubell on why small warning signs are harder to act on than thesis-breaking ones: "There's something I used to talk to my analysts about called analyst voices. These are the voices inside of your head that tell you, ooh, this is not quite what I was hoping for." "The best analysts are the ones who are able to hear those voices and react quickly, and not be anxious that they just told their portfolio manager to buy more yesterday, or that this is the idea they told John at Morgan Stanley is their favorite idea." "Really, they need to just be clean and say, something is changing here, I need to reassess. That's actually the most important moment for someone to identify a change." "I have found over time that really big changes, thesis-busting changes, are actually easier for most people to react to because they're so obvious. When there's a really profound change, people have less trouble parting with an idea than when something is just beginning to change on the margin."
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if you're wondering whether you should go all in on AI, the math is simple... > ignoring it = betting your entire life on the tech not mattering (you already lost) > going deep = infinite upside for a few months of your time that's not hype, that's just math > spend your days playing with the tech > solve real problems with it > build something, even if it's ugly at first worst case you wasted time learning the most important skill of the decade now flip it: > ignore AI completely > hope your current skills stay relevant > compete against people who didn't ignore it worst case you're irreplaceable... nah, worst case you're invisible there is literally no logical argument for sitting this one out the risk/reward ratio has never been this broken in your favor take the bet
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Balyasny's founder Dmitry Balyasny on how Balyasny competed with rivals 25 times its size: "So you have to think about how are you going to compete when you're smaller?" "When we were starting off, almost 25 years ago, our competitors, which are still the same guys we really compete with today, were probably like 25 times our size in AUM. And today, maybe they're like two, two and a half times our size." "It's like the large multi-strats, right? The Citadels, Millenniums, Point72s. It's pretty much the same group over 25 years." "When you're starting at such a disadvantage on scale, how do you compete for talent? By being a better place to work, where you're really trying to partner with people, really trying to help them develop their business." "Over time, you get that flywheel going: your capital grows, your returns grow, your investor base grows, your infrastructure grows, and so the gap on all that stuff starts to shrink. But you still have hopefully an edge on the cultural pieces."
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The casino model of diversification: AQR's Managing Director Peter Hecht "First off, we believe in diversification. So we are a systematic fundamental manager." "Most systematic managers have a small edge for any single security that they trade." "Like a casino, a casino would never exist if it could only play blackjack against you, one person." "They bring in thousands of uncorrelated blackjack customers. That's like bringing in thousands of uncorrelated trades." "So we believe in diversification. We're militant about thinking about: are these trades correlated with each other?"
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