Max Peng

5 posts

Max Peng

Max Peng

@pengmaxpeng

CS/Stat @Harvard '27 interests: finance, forecasting, ml/ds personal: @AvogadrAvocado prev: https://t.co/Xt9VoNW5xM & @capitalgroup incoming: @point72careers

NYC Katılım Ocak 2026
36 Takip Edilen2 Takipçiler
Max Peng
Max Peng@pengmaxpeng·
@0xaporia is "edge" the cause or effect here? intuitively i thought "alpha" provides you an "edge". or is your "edge" the result of some "alpha"? my confusion in the order probably lends credence to your idea that similar usage creates confusion...
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Aporia
Aporia@0xaporia·
I think people should stop using “edge” and “alpha” as synonyms for “consistently profitable.” This might sound pedantic but it’s not just semantics imo. The usage collapses cause and effect into one word, and that quietly does damage. When the language fuses the outcome with one specific cause, the more important upstream question never forms: what is actually generating P&L, what’s the source of it? People skip straight from “I’m green” to “I have edge” and the step in between (the only step that really matters) gets eaten by the word itself. Ask the question honestly and, for most people, the answer isn’t some mysterious edge but compensated risk. Which is a completely fine thing to have. But only if you know that’s what it is. Call me petty but I feel it’s important. It would’ve helped me when I started out. For a long time I didn’t make that distinction.
Riz Iqbal@Wordsofrizdom

I sat down with a trader who made 290% returns in the US Investing Championship. I asked him what the easiest part of trading is. He said something most traders never want to hear. Finding an edge is not hard. You can find one today. The setups are already out there. The strategies already exist. Everyone is searching for the holy grail. Running from strategy to strategy. Looking for the next new thing. But the real holy grail was never a strategy. It was never an indicator. It was never a system. It was you. Your ability to find an edge and keep it. Finding the edge takes a day. Maintaining it for years takes everything you have. Most traders spend their whole career looking for something new. The best traders spend their whole career mastering what they already know. Which one are you?

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Jonas
Jonas@jonaswillett1·
I created a list of my favorite cafes to work at in NYC. Coffee shops > offices. I started my company inside a coffee shop. Beautiful spaces. Good energy. Surrounded by people locking in. And you randomly meet the most interesting people. My list includes the cafe name, neighborhood, and a proprietary, confidential scoring system based on: - Work space (tables, outlets, WiFi, design) - Food (quality, options, price) - Music (playlist, can you take calls) - People (do interesting people go here) - Coffee (does it hit) - Vibes (overall energy) I'd love to share this list with you + add new spots. Comment "CAFE" and I'll DM you the list.
Jonas tweet mediaJonas tweet media
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Max Peng
Max Peng@pengmaxpeng·
@DeepDishEnjoyer @W98AB curious if you can expand on the "hedge fund cannibalization" part. do you think top HFT firms are taking over profit-generating businesses of even top multistrats and systematic funds? there's been a lot of talk about how the two (HFT/HF) are converging, but it seems one-sided.
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peepeepoopoo
peepeepoopoo@DeepDishEnjoyer·
@W98AB the bank cannibalization has been going on since 2020, recently it's more hedge fund cannibalization
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Max Peng
Max Peng@pengmaxpeng·
@henlokid wait how do they have more profit > revenue? specifically hyperliquid?
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Kid
Kid@henlokid·
i get why ppl wanna king make hyperliquid but profit more than revenue is just too much
Deedy@deedydas

Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.

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