Skip to content
Dwarkesh PodcastDwarkesh Podcast

Agustin Lebron - Trading, Crypto, and Adverse Selection

Agustin Lebron began his career as a trader and researcher at Jane Street Capital, one of the largest market-making firms in the world. He currently runs the consulting firm Essilen Research, where he is dedicated to helping clients integrate modern decision-making approaches in their business. Episode website + Transcript: https://www.dwarkeshpatel.com/p/agustin-lebron Apple Podcasts: https://apple.co/3Rhttnm Spotify: https://spoti.fi/3COMNEe Follow me on Twitter to be notified of future content: https://twitter.com/dwarkesh_sp Follow Agustin on Twitter: https://twitter.com/AgustinLebron3 Buy The Laws of Trading: https://www.amazon.com/Laws-Trading-Traders-Decision-Making-Everyone/dp/1119574218 TIMESTAMPS: 0:00 Introduction 4:18 What happens in adverse selection? 9:22 Why is having domain expertise in trading not important? 15:09 How do you deal when you're on the other side of the adverse selection? 21:16 Why you should invest in training your people? 25:37 Is finance too big at 9% of GDP? 31:06 Trading is very labor intensive 36:16 Overlap of rationality community and trading 48:00 The age of startup founders 50:43 The role of market makers in crypto 57:31 Three books that you recommend 58:47 Life is long, not short 1:03:01 Short history of Lunar Society

Agustin LebronguestDwarkesh Patelhost
Jun 22, 20221h 4mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Why Most People Shouldn’t Trade: Edge, Hiring, Crypto, Rationality, Risk

  1. Agustin Lebron, former Jane Street trader and author of *The Laws of Trading*, explains why most people lack true edge in markets and why, in expectation, they should generally not trade. He uses concepts like adverse selection, edge, and technical debt to analyze hiring, tech-company bootcamps, and software organizations. The conversation explores finance’s social value, the future of trading in an AI world, and how crypto may integrate into traditional finance rather than replace it. Lebron also discusses talent arbitrage, rationalist culture at Jane Street, and career strategy built around “sequential excellence” across multiple deep specialties.

IDEAS WORTH REMEMBERING

5 ideas

Most individuals should not trade; lacking durable edge means negative expected value.

Lebron agrees the “strawsonian” reading of his book is that if you’re smart and hardworking enough to succeed at trading, there are usually easier, more reliable ways to make money; retail traders typically underestimate costs, risks, and the true sophistication of marginal counterparties.

Adverse selection is central to both markets and hiring; design around it consciously.

Employers are often bidding against each other for talent where the marginal candidate on the market is weaker, and applicants with many offers pick the best, leaving firms systematically adverse-selected; similarly, retail traders and naive liquidity providers are routinely on the wrong side of trades.

Hire for ability and potential, not narrow skills; train via intensive bootcamps.

Lebron argues tech firms over-index on legible skills (e.g., specific languages) instead of raw intelligence, curiosity, competitiveness, and grit; he advocates mass screening for global high-g talent and then short, intense bootcamps that convert them into high-value employees.

Motivation quality matters: love the game and problem-solving, not just money.

While wanting to “win the game” is necessary in trading, a pure desire to maximize income correlates with bad behaviors and short-termism; the best traders are intensely curious, enjoy competitive environments, and are driven to get very good at obscure, difficult things even without guaranteed payoffs.

Technical debt should be treated like real financial debt with explicit trade-offs.

Startups should consciously take on technical debt (like non‑recourse debt) to move fast, expecting rewrites if successful; mature firms end up with huge “interest payments” in the form of migration, refactoring, and maintenance, often absorbing the bulk of their engineering headcount.

WORDS WORTH SAVING

5 quotes

If you're smart enough and hardworking enough to make a living at trading, there's probably an easier way to make money.

Agustin Lebron

Software development is fundamentally an exercise in sociology, in organizing teams and creating processes and culture around the building of software.

Agustin Lebron

I would love to talk to the person who is the third-best player in the world at some weird, obscure chess variant.

Agustin Lebron

Life is not short, life is long. You should think of yourself as having many opportunities to learn things, and try things, and do things.

Agustin Lebron

Success for crypto definitely looks like integration into the financial system… we end up with something that's kind of a hybrid of the best of both.

Agustin Lebron

Adverse selection, edge, and why most people shouldn’t tradeHiring, talent arbitrage, and bootcamp-style training in tech and financeMotivation, rationality, and the culture of firms like Jane StreetTechnical debt and software development as sociological complexity managementThe size and social value of finance, regulation, and market structureCrypto, automated vs traditional market making, and future integration with TradFiCareer strategy, sequential deep expertise, and general intelligence as a predictor

High quality AI-generated summary created from speaker-labeled transcript.

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome