LEBRON // TRANSCRIPT ATLAS
Corpus from Deepgram · 10 unique talks · equilibre

What Agustin Lebron talks about

Exploratory map of ~98,413 words across podcasts and an audiobook preview: theme frequencies, content n-grams, idea cards, per-talk breakdowns, and raw transcripts.

10
Talks
98k
Words transcribed
10h 56m
~ speaking time
173
Top theme hits (Risk)

01 Exploratory data analysis

Theme lexicon hits (whole corpus)

Keyword/phrase matches (not exclusive topics). Click a bar to filter talks below.

Risk
173
Edge
171
Decision-making
120
Engineering / tech
112
Strategy
97
Costs
94
Retail
93
Hiring / comp
92
Quant / systematic
80
Jane Street
79
Market making
77
Models
69
Volatility / crisis
55
Crypto
45
Poker
41
Information
40
Laws of trading
37
Stats / sample size
29
Adverse selection
20
Mentorship
4

Frequent content words

Stopwords, fillers, and contractions stripped.

tradingmoneytimetradestuffmarketworldedgebackriskbookmarketsdifferentyearsseeneedtradergettingcompanyinterestingquestionprettytakeretailmighttryingideaworkfindstreetcompaniestradesmhmmtalkdefinitelydata
Read of the data: Lexicon hits lean risk, edge, and decision — trading as decision-making under competition. Content n-grams surface institutional phrases (Jane Street, financial markets, market makers, adverse selection, retail traders).

02 Content bigrams & trigrams

Only phrases where every token is a content word. Removed: stopwords (because, its, are, …), contractions (that's, you're), fillers (blah, uh), and stutter repeats (x x).

Top bigrams

Phrasen
jane street72
financial markets50
market maker21
trading firms20
market makers19
adverse selection18
retail trader18
years ago16
quant trading15
retail traders15
investment banks14
prop trading13
trading firm13
retail trading13
risk taking13
machine learning13
hedge fund11
trend following11
market rate10
different kinds9
united states9
somebody else9

Top trigrams

Phrasen
prop trading firms8
compound annual growth6
left jane street5
risk tolerance set5
jane street capital4
quant trading firms4
annual growth rate4
etf market maker3
jane streets biggest3
expected value terms3
common failure mode3
obscure chess variant3
options market maker3
jane street provides3
red blooded risk3
tolerance set point3
pro gambling direction3
online poker back2
prop trading firm2
micro cap stocks2
machine learning space2
technical consultant turns2

03 Core ideas (distilled)

Stable claims across talks — flashcards for interview vibes.

Edgecore

Edge vs marginal participant

Edge is something you know or can do that the marginal market participant doesn't or can't — tech, models, access, cost structure, or judgment.

careerRetail

Default advice: don't trade

If you're good enough to make a living trading, there's often an easier path. Table selection: don't sit with the best machines for free.

Adverse selectionRisk

Adverse selection is structural

You're never happy with size: good trades should have been larger; bad trades shouldn't have happened. Applies to markets, hiring, and deals.

Risklaws

Take only risks you're paid for

Hedge residual risks. Good EV decisions can lose; bad ones can win. Process over outcome.

Market makingJane Street

Market making = service business

Baloney sandwich analogy: buy components, assemble, sell liquidity. No strong directional view — the hard problem is adverse selection.

Quant / systematicStrategy

Quant firms colonize adjacently

Start simple and self-contained; improve incrementally; expand to the next most similar market. Even the worst skill should be 'pretty decent.'

EdgeStats / sample size

You can't know edge for sure

Only statistical bounds. Many small trades → more certainty, usually smaller edges. Poker: win-rate needs huge N; decision quality can be judged sooner.

Volatility / crisisRisk

Crisis can be opportunity if unforced

Volatility often means forced flow. If you aren't forced and have risk capital, absolute edge can rise even if models are strained.

RetailCrypto

Gamblization of everything

Retail boom, sports betting, prediction markets — more uninformed flow; part of why large MM profits rose.

Hiring / compAdverse selection

Hiring is adverse selection

Applicants on the market are selected against; best people are retained; final accept is the candidate's choice (winner's curse for employers).

lawsDecision-making

Laws of trading as jungle laws

Dense competition for scarce resources. Decision frameworks transfer outside finance — consulting tech cos on decision quality.

Engineering / techPokercareer

Engineer + poker → trading

Personal arc: RF chip engineering, poker boom, 'half engineering half poker' = quant trading; Jane Street through 2008.

CostsEdge

Costs are never negligible

If costs seem tiny vs edge, you're wrong about at least one. Attention and risk management are costs too.

Quant / systematicModels

Systematic still needs human gates

Even automated shops decide when to turn systems off in regime shift — OOD judgment remains.

Mentorshipcareer

Mentors accelerate learning

Hard to figure out alone from Twitter. Interactive help from seniors compresses the learning curve.

04 Talk × theme heatmap

Cell = raw keyword hits. Darker = more relative to that talk’s max among shown themes.

TalkRiskEdgeDecisiEngineStrateCostsRetailHiringQuant Jane SMarketModels
163: The Laws Of Trading - Agustin Lebron …423239443145119
The Art (and Science) of Profitable Tradin…49451712147261762865
Engineering Compensation Craziness Part 17145·10·312··6
Agustin Lebron - Trading, Crypto, and Adve…105543272281281910
Using the Laws of Trading to find our edge…273942881169·82917
The Laws of Trading: A Trader's Guide to B…45433152613···31
Ex-Jane Street Trader: How to Find “Edge” …93157234427653
How Quant Firms Took Over the Market, Ex-J…2741232218242
Agustin Lebron: Ex-Jane Street Trader on W…1413224251929·72104
Agustin Lebron on Building a Trading Strat…63323548·15··2

05 Talks & transcripts

2019-06-02 zAdWY4KezZ8 44.0 min · 6,595 words

163: The Laws Of Trading - Agustin Lebron [AUDIO ONLY]

Edge 23Decision-making 23Models 19Engineering / tech 9Laws of trading 9Poker 7Jane Street 5Risk 4

Welcome to Better System Trader, the podcast to help systematic traders of all levels improve their trading. We'll give you loads of expert tips and practical advice on system design and validation, money management, trading psychology, and many other topics. Whether you're just starting out or a savvy systematic trader, we're here to help you improve your trading and find more success. This is Better System Trader with your host, Andrew Swanscott. Hi there. Welcome to Better System Trader. Glad you could join us for this fine episode where we're going to be talking about something incredibly…

Theme hits in this talk

Edge23
Decision-making23
Models19
Engineering9
Laws9
Poker7

Top content words

trading (47), trade (22), book (22), story (18), decision (16), edge (16), laws (15), traders (14), need (14), personal (14)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

We'll also talk about identifying personal edge and leveraging that in the markets.
So the way I think about it, a true edge, a good edge is something that you know and can do that the marginal participant in the market doesn't and can't.
But what about if you're, like, if you're just starting out or perhaps you think you found your personal edge, but you're not getting the results that you're looking for?
Now in your book, you have a quote that says, if you can't explain your edge in 5 minutes, you don't have a very good 1.
2021-09-13 Dzh6Wc-Vvqg 95.0 min · 14,244 words

The Art (and Science) of Profitable Trading Decisions - Agustin Lebron Podcast

Risk 49Edge 45Jane Street 28Retail 26Decision-making 17Hiring / comp 17Strategy 14Engineering / tech 12

When a new trader joins predicting alpha, the 1st book we recommend they read is called the laws of trading by Augustin LeBron. It's not only an amazing book on trading, it's a phenomenal book on decision making in general, helping you shape the way you think about the world so that you can go out there and actually find good opportunities. In this podcast, I had the pleasure of sitting down with Augustine to have a really candid conversation about what it takes to make it as a trader. This was an awesome conversation. I really enjoyed having it, and I think you're gonna get a ton of value. So…

Theme hits in this talk

Risk49
Edge45
Jane28
Retail26
Decision-making17
Hiring17

Top content words

trading (66), stuff (50), edge (45), mhmm (41), money (32), risk (30), jane (28), street (27), retail (26), data (25)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

Because you can you can ask you can sort of answer the question at a very base level by saying, well, their edge is that they understand prices better Than the marginal participant in the market.
And in in some sense, Jane Street's biggest edge is that Jane Street isn't bad at very many things.
And then I would say there's sort of there's the highest, the meta level, the thing actually that interest me the most, which is fundamentally, Jane Street has an edge because they hire really, really good people.
But I I, you know, I do think there is still edge for the the smaller fish.
2022-01-26 gKZbHsQRB8I 52.9 min · 7,932 words

Engineering Compensation Craziness Part 1

Hiring / comp 31Costs 10Risk 7Models 6Engineering / tech 5Decision-making 4Quant / systematic 2Information 2

Do you want to know what is going on in the minds of CTOs out there regarding compensation, hiring, retention rates, the churn rates in employment? Well, you're gonna have a wonderful opportunity today to listen listen in on a conversation led by Augustine LeBron with 10 CTOs in the room and very interesting thoughts and ideas about what's going on out there right now. So have fun. From 7 CTOs, my name is Etienne Gebruin, and you're in the CTO studio. Somebody said it was a hot topic. Yeah. Darmin's a hot topic. What do we pay people? What are we supposed to be paying people? So as I said, I'm…

Theme hits in this talk

Hiring31
Costs10
Risk7
Models6
Engineering5
Decision-making4

Top content words

pay (36), company (30), market (25), companies (22), value (21), question (17), work (16), rate (16), money (16), somebody (15)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

So you have people that are good at managing revenue, but you also have people that are good at managing risk or managing resources.
But the way I would measure the value of somebody who like a DevOps person or somebody who's good at at QA and managing risk, the way I would value that person is very different than the way I would value somebody in business development who could drive a lot of rent.
But, yeah, like, I think that the key insight there, Steve, that you're having is business value, whether it be revenue, risk, or whatever, is the thing that drives how much you like, what's the roof on what you can pay somebody?
Taking a job at a new company that you don't know is a risk, and there's a cost associated with that risk.
2022-06-23 3BBNG0TlVwM 85.7 min · 12,849 words

Agustin Lebron - Trading, Crypto, and Adverse Selection

Engineering / tech 43Jane Street 28Hiring / comp 28Crypto 23Market making 19Adverse selection 15Risk 10Models 10

I tell my kids this all the time. Like, life is not short. Life is long. And what that means is you should think of yourself as having many opportunities to learn things and try things and do things. Software development is fundamentally an exercise in sociology. Like, in organizing teams and in creating processes and culture and conventions around the building of software. I think finance is 9% of GDP. Is that too high a price to be paying for liquidity and price discovery? Okay. Today, I have the pleasure of speaking with Augustin Lebron, who is the author of the laws of trading, a trader's…

Theme hits in this talk

Engineering43
Jane28
Hiring28
Crypto23
Market19
Adverse15

Top content words

trading (38), street (33), time (32), jane (28), market (27), world (25), company (25), money (24), crypto (23), finance (20)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

Because you probably don't have edge because you're not better than a marginal trader.
And if you think you have edge, it's probably because you unfactored in risks and other costs.
How much are you willing to, give up your edge by telling us what this is?
Or because I would think you say in the chapter on edge that 1 of the ways you can actually get is to specialize.
2022-08-11 c1VAqJv1p4s 79.3 min · 11,896 words

Using the Laws of Trading to find our edge with Agustin Lebron

Edge 39Market making 29Engineering / tech 28Risk 27Models 17Information 14Crypto 13Costs 11

Welcome to the derivative by RCM alternatives, where we dive into what makes alternative investments go, analyze the strategies of unique hedge fund managers, and chat with interesting guests from across the investment world. Happy main day people. Yep. That's main with an e, which is where I am right now on vacation. But through the magic of technology, I'm still here with you today. And I'll be back the next week too with our growing list of Voll episodes, which may end up being back to back to back, so sorry about that. But these guys are good. We gotta get them on. On to this episode where…

Theme hits in this talk

Edge39
Market29
Engineering28
Risk27
Models17
Information14

Top content words

trading (45), edge (39), market (35), back (33), time (32), trade (28), years (26), take (24), stuff (23), money (21)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

Very, very much the opposite of what you would think of as as we'll say, like, the modern high frequency, you know, low edge done 1000000 times kind of trading that I also did a bunch of.
Some of the stuff in your books about having edge and edge is the need for a marginal player.
Like, you don't have an edge unless you know someone who doesn't have an edge.
And the other side of, I think, the edge is, look, 1 thing that we know is that markets are incredibly complex, heterogeneous.
2024-02-13 CEjrwbgBQ8I 64.4 min · 9,662 words

The Laws of Trading: A Trader's Guide to Better… by Agustin Lebron · Audiobook p

Risk 45Decision-making 33Costs 26Laws of trading 15Retail 13Information 5Strategy 5Edge 4

Gildan Media, a division of recorded books presents The Laws of Trading, A Trader's Guide to Better Decision Making for Everyone by Augustine Lebron. Narrated by Timothy Andres Pobon. Limit of liability, disclaimer of warranty. While the publisher and author have used their best efforts in preparing this book, They make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or…

Theme hits in this talk

Risk45
Decision-making33
Costs26
Laws15
Retail13
Information5

Top content words

trading (109), markets (62), financial (54), trade (38), risk (34), laws (30), money (29), world (28), time (25), book (23)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

If your costs seem negligible compared to your edge, you're wrong about at least 1 of them.
And 3, every moment is unique, meaning every edge and outcome is truly a unique experience.
In any case, you wait for the next edge to appear and go through the process again and again.
By that, I mean a book that will not hit the best seller lists, but that as you go through life, you will find that it has been read by most interesting people you meet who care about trading, risk taking, economics, or decision making, and that you will recommend it enthusiastically to the rest.
2025-07-10 UmCRYENRp7Y 57.9 min · 8,683 words

Ex-Jane Street Trader: How to Find “Edge” in the Markets and Real Life

Edge 31Quant / systematic 27Volatility / crisis 12Risk 9Stats / sample size 9Engineering / tech 7Jane Street 6Market making 5

What is edge in the context of the financial markets, and how does it come about? It can be many different kinds of edge, but in the end, something that makes you money is something that either you know that nobody else knows or something that you can do that many other people can't do. You managed the Jane Street cohort for Sam Bagden Fried. He was definitely noticeable. He challenged people to explain things. Sam was like, day 1, I'm gonna ask all the questions. I'm gonna figure things out. We've seen a huge growth in retail trading post COVID. Prediction markets are growing in the last 5 ye…

Theme hits in this talk

Edge31
Quant27
Volatility12
Risk9
Stats9
Engineering7

Top content words

trading (32), edge (29), money (27), figure (19), years (18), quant (18), world (17), question (17), market (15), trying (15)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

The way I define it in the book is edge is something that either you know or you can do that the marginal participant in that market either doesn't or can't.
I guess this is more a specific question about, you know, executing on edge or rather well, it's just about trading in general.
Like, I definitely definitely have edge or I definitely can do this thing.
What is the way in which they're developing edge, thinking about it, improving it?
2025-07-17 6PX9JnyFTG8 12.3 min · 1,846 words

How Quant Firms Took Over the Market, Ex-Jane Street Trader Explains

Quant / systematic 18Volatility / crisis 12Stats / sample size 8Edge 7Market making 4Decision-making 4Poker 3Costs 3

I wanna ask a little bit about your time at Jane Street. You worked in the London office. And 1 of the things that I think fascinates a lot of people is they see these stories of the news of these top quant shops raking in billions and billions of billions of dollars, but it seems like a black box. You know, we have the efficient hypothesis of the market. And, obviously, if these guys are capitalizing on all these different inefficiencies, that can't 100% be true. How do these quant shops hire talent that can continuously generate and execute on their edges and make money. I think every great…

Theme hits in this talk

Quant18
Volatility12
Stats8
Edge7
Market4
Decision-making4

Top content words

money (14), quant (12), trading (10), firms (9), market (8), definitely (7), trade (7), shops (6), edge (5), world (5)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

Like, I definitely definitely have edge or I definitely can do this thing.
What is the way in which they're developing edge, thinking about it, improving it?
And so maybe your system doesn't actually have to keep nearly as much of the relative edge because there's enough absolute edge to maybe make up for that.
If you're not constrained in that way, I if you have enough risk capital to deploy during those times, those are very often extremely good times to trade.
2025-12-11 Wxndr3Ady24 86.4 min · 12,964 words

Agustin Lebron: Ex-Jane Street Trader on Why You Should Trade | the Outlier Podc

Retail 29Strategy 25Decision-making 22Costs 19Risk 14Edge 13Market making 10Quant / systematic 7

What's up, outliers? Welcome back to the Outlier podcast. I have Augustine here to tell us how trading is super easy. It's a way to fast, easy riches with minimal effort, stable monthly income, and I'm really excited to learn the secret. So what's up, Gustin? Thanks for having me on. It's great. So being is that I nailed that intro, the funny part is for those that obviously wouldn't know, but when we originally started talking, I had mentioned doing a podcast, and you were like, that sounds kinda interesting, but I'm not sure it would be, like, exactly the right fit because my my primary piec…

Theme hits in this talk

Retail29
Strategy25
Decision-making22
Costs19
Risk14
Edge13

Top content words

trading (67), money (39), trade (30), retail (29), time (26), book (25), pretty (22), obviously (21), talking (21), strategy (21)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

But just the way they talk about their trading, there's probably a bit of what you just said, right, where, like, it's clear they have some edge, but they might not be thinking about it quite the right way or or or maybe as as optimally as they could.
But the times you see people just kinda get in over their heads just because, like, they're sort of destined to go broke because even if their trade did have edge even if their trade did have edge, you're way past, like, some Kelly fraction or something like that.
And I think this gets back to the 1st thing that we talked about, which is, like, really being self aware about what is the differential edge that you have in the market or that you might have in the market.
So I would say I think the chapter on edge, I I think I really like.
2026-04-08 ayqbZirKPkM 78.3 min · 11,742 words

Agustin Lebron on Building a Trading Strategy | The Outlier Podcast

Strategy 35Quant / systematic 15Retail 8Risk 6Costs 4Volatility / crisis 4Edge 3Decision-making 3

What's up, everyone? Welcome back to the outlier podcast. I have a familiar face, Augustine LeBron here in red celebrating the bloodshed. No. I'm just kidding. That's actually something we'd say in the military, though. But we are gonna be taking a look at strategy development. And this is something that you and I had gone back and forth in DMs a little bit on doing a follow on session, and you expressed that you wanted to do something, like, more practical and kinda hands on using a live example. And I love that because it's really easy to talk about stuff and to try and show pieces of it. I…

Theme hits in this talk

Strategy35
Quant15
Retail8
Risk6
Costs4
Volatility4

Top content words

stuff (46), time (38), momentum (38), might (37), different (31), back (28), strategy (27), looking (27), read (26), paper (25)

Watch on YouTube ↗ · Raw transcript

·

Pulled quotes

You can kinda think about the risk versus return efficient frontier that you wanna live on.

06 How this was built

  • Audio via yt-dlp → Deepgram nova-3 (chunked).
  • Transcripts: equilibre/transcripts/ · JSON: equilibre/deepgram/
  • N-grams: content-only tokens; stutter and filler chains dropped.
  • Companion: Interview prep (ML × trading)

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