Chris HSIEH

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Chris HSIEH

Chris HSIEH

@chrishsh

Enthusiastic about natural wine/oenology, digital assets/blockchain technology, and anything technically quantitative and analytics.

Hong Kong Inscrit le Mart 2009
4.8K Abonnements319 Abonnés
Chris HSIEH retweeté
Ethan Kho
Ethan Kho@ethanrkho·
Ex-Point72 proprietary research head Kirk McKeown on what most people get wrong about measuring research quality: "You can't tie it back to returns." Every PM on the street is judged on three things: — Number of at-bats — Hit rate against those at-bats — Sizing against that hit rate Your research function has to create lift in one of those three. That's it. "You're not getting paid on the return. You're not getting paid on the at-bat. You're getting paid on the specific call." Separation of church and state keeps the research clean.
Ethan Kho@ethanrkho

Ex-Point72 Proprietary Research Head Kirk McKeown on building edge, alpha decay, & why everything that happened on Wall Street is about to happen on Main Street. Kirk McKeown (8.5 years @ Point72 under Steve Cohen | Built primary research at Glenview under Larry Robbins | Now founder of Carbon Arc @CarbonArcAI) "Alpha rewards those who value assets in a cold way. You want to get it right — not be right." We cover: - How alpha creation differs across multi-manager vs. concentrated shops - The 3 vectors every middle office function must move to justify its existence - Why he worked 6-hour Sundays from 2006-2020 — and the math behind it - The TSMC call that signaled semiconductor cancellations before anyone else knew - What the quant revolution on Wall Street tells us about the AI economy today - His framework: 4 market structures, 9 business models, & why they have rules - The MIT beer game & why every business problem is really an inventory problem - His hot take: a top hedge fund launches an enterprise AI lab in 2026 Highlights: 00:00 Intro 04:47 Tutor vs Glenview vs Point72: how edge differs 12:29 How to build “lift” for PMs: at-bats, hit-rate, sizing 18:44 Building research edge: outwork, read, fieldwork 27:16 Personal moat in 2026: analogs, history, decision trees 40:08 “Main Street becomes Wall Street”: what that actually means 44:30 Carbon Arc thesis: “decimalization” of data market structure 46:43 Why the edge migrates to data plus domain context 51:00 How to win in commoditized research: sample size beats anecdotes 01:03:26 Factorizing everything: themes, market structure, business models 01:08:37 Pruning decision trees: signals, scale points, inventory dynamics 01:14:18 Contrarian 2026 take: hedge funds launching enterprise AI labs 01:23:32 Final question: one habit to build career alpha

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Chris HSIEH retweeté
The Data of Everything
The Data of Everything@TheDataHubX·
Best in the World - 2025 1. Best Education - 🇸🇬 Singapore 2. Best Innovation - 🇨🇭 Switzerland 3. Best Food - 🇮🇹 Italy 4. Best Safety - 🇮🇸 Iceland 5. Best Healthcare - 🇹🇼 Taiwan 6. Best Quality of Life - 🇨🇭 Switzerland 7. Best Work-Life Balance - 🇳🇱 Netherlands 8. Best Public Transport - 🇸🇬 Singapore 9. Best Internet Speed - 🇸🇬 Singapore 10. Best Universities - 🇺🇸 United States 11. Best Happiness - 🇫🇮 Finland 12. Best Clean Energy Use - 🇮🇸 Iceland 13. Best Startup Ecosystem - 🇺🇸 United States 14. Best Manufacturing - 🇨🇳 China 15. Best Tourism - 🇫🇷 France 16. Best Governance - 🇩🇰 Denmark 17. Best Low Corruption - 🇩🇰 Denmark 18. Best Women Safety & Equality - 🇩🇰 Denmark 19. Best Smart Infrastructure - 🇸🇬 Singapore 20. Best Digital Government - 🇪🇪 Estonia 21. Best Rule of Law - 🇩🇰 Denmark 22. Best Air Quality - 🇳🇿 New Zealand 23. Best Climate Action - 🇩🇰 Denmark 24. Best Space Technology - 🇺🇸 United States 25. Best Financial Stability - 🇨🇭 Switzerland 26. Best Ease of Living for Expats - 🇵🇦 Panama 27. Best Social Security - 🇩🇰 Denmark 28. Best Urban Planning - 🇳🇱 Netherlands 29. Best Renewable Energy Share - 🇳🇴 Norway 30. Best Overall Living Country - 🇨🇭 Switzerland Source - OECD, UN, World Bank & Global Indexes (2024-25)
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ak0
ak0@annanay·
People talk a lot about quant firms. But not many people know what each firm specializes on. Here's a cheatsheet to understand what each firm does well. Disclaimer - these are just the ones I know well, some eg: Virtu are missing. The cool part? All of them are very profitable!
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Chris HSIEH retweeté
Demis Hassabis
Demis Hassabis@demishassabis·
‘The Thinking Game’ documentary has just passed 200M views on YouTube in just 4 weeks! 🤯Perfect holiday viewing if you’re interested in a behind-the-scenes look at how an AGI lab works, or what goes into making a Nobel Prize winning project like AlphaFold happen.🧬🚀
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Jlau
Jlau@JustinLau04·
this tier list is going around the cs careers discord a lot, how accurate is this
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Chris HSIEH retweeté
Massimo
Massimo@Rainmaker1973·
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MLB
MLB@MLB·
Mamiko's reaction to this sign was priceless and Shohei couldn't stop laughing 🤣 📹: Jaybug2714/TikTok
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The White House
The White House@WhiteHouse·
President Donald J. Trump & Japanese Prime Minister Takaichi watch the World Series! ⚾️
The White House tweet mediaThe White House tweet media
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zerohedge
zerohedge@zerohedge·
JPM: "Oracle's debt to equity ratio is already 500% compared to 50% for Amazon, 30% for Microsoft and even less at Meta and Google. In other words, the tech capital cycle may be about to change" (Cembalest, Sept 24) Also JPM: "Hi Oracle, here is $38 Billion in debt"
zerohedge tweet media
zerohedge@zerohedge

Bank of England Warns Of Devastating Fallout As AI Debt Bubble Pushed To The Limit With Record Oracle, Junk Bond Deals zerohedge.com/markets/bank-e…

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Chris HSIEH
Chris HSIEH@chrishsh·
@Cogito1781 Not shocking at all. What’s shocking should be hundreds of governments and corporations spending millions to pay McKinsey doing prompt engineering for them rather than implementing ChatGPT and train their employees with much lower cost and sustainable operating model.
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Chris HSIEH retweeté
Finn Murphy
Finn Murphy@FinnMurphy12·
Polymarket CEO at the Knicks literally on the phone front-running the markets on next to score - outrageous stuff
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Chris HSIEH retweeté
camilo
camilo@curiouscamilo·
we are running a trading strat for college football prediction markets, taking live signals from students at the game. our systems automatically size and execute trades based on their input. we currently have presence in Stanford and Berkley. if you are a trader at a U.S. university, please comment below. we are expanding our coverage!
Finn Murphy@FinnMurphy12

Polymarket CEO at the Knicks literally on the phone front-running the markets on next to score - outrageous stuff

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