Anthony Pompliano
OG Crypto Investor SOLD HIS BITCOIN For AI
Resumen
- Avi Felman dice que el trade más limpio ha pasado de la exposición pasiva a Bitcoin hacia el crecimiento real ligado a IA: robótica, biotech, defensa, energÃa y negocios crypto selectivos con ingresos de verdad.
- Su rotación más explÃcita es salir de Bitcoin como macro hedge y entrar en un stack de Hyperliquid, spillovers de IA desde memoria hacia aplicaciones, Intel/reshoring, vehÃculos de robótica, biotech, defensa y mineras de uranio.
- La tesis de fondo es tan social como financiera: un contrato social roto para la clase media está empujando a más gente hacia trading, especulación y mercados guiados por narrativa, por eso le gustan las infraestructuras de un mundo más financialized pero sigue atento a la psicologÃa de burbuja.
◆ Primero las anclas: por qué vendió Bitcoin
Felman es muy directo: está en crypto desde 2016, llegó a tener cerca del 80% de su cartera en Bitcoin/crypto y ahora tiene cero Bitcoin y casi nada de exposición pasiva al sector. Su argumento no es que Bitcoin haya muerto. Su argumento es que Bitcoin funcionaba mejor como vÃa de escape frente a un mundo dominado por la Fed y la liquidez, mientras que hoy el capital está siendo atraÃdo por crecimiento secular real en IA, robótica, biotech, defensa y buildout industrial. En su marco, Bitcoin sigue teniendo un precio al que volverÃa a ser atractivo, pero ahora mismo le parece una carga frente a activos ligados a cambio tecnológico real.
â–¶ Qué tendrÃa que pasar para que volviera a comprar Bitcoin
Deja tres condiciones bastante claras. Primero, el mercado necesita digerir el overhang de Strategy / “Stretchâ€, porque cree que el capital tradicional está preocupado por la estructura de Michael Saylor y por escenarios de forced selling o estrés de balance. Segundo, quiere ver resuelto el riesgo narrativo de quantum. Tercero, necesitarÃa ver o bien nueva inyección de liquidez o una postura de la Fed que le haga volver a temer inflación y error de polÃtica. Incluso dice que si Bitcoin hiciera un puke hacia 40.000 dólares, probablemente mirarÃa reentrada.
★ Su exposición crypto no desapareció; se movió hacia rails con ingresos
Su rotación es menos “anti-crypto†que “anti-crypto vacÃoâ€. Dice que todavÃa quiere exposición a negocios que usan infraestructura crypto y generan ingresos reales. Hyperliquid es su ejemplo principal, y también menciona proyectos más pequeños ligados a actividad transaccional y productos monetizables. El giro es desde tokens que vivÃan de narrativa y liquidez hacia plataformas que se parecen más a negocios fintech con rails crypto.
◆ Hyperliquid y la tesis de financialización
Su caso alcista para Hyperliquid es, en realidad, una tesis más amplia sobre la financialización de la vida cotidiana. Cree que más gente va a tradear más cosas, más veces, porque el viejo camino de “trabaja, ahorra y jubÃlate cómodo†ya no se siente creÃble. Eso empuja a la gente hacia brokers, prediction markets, apuestas deportivas y especulación permanente. En ese mundo, él quiere la capa de plataforma: el equivalente a poseer un brokerage, un venue de mercado o los rails que monetizan el aumento de participación. Hyperliquid, para él, se beneficia de la misma fuerza estructural que Robinhood o Polymarket, pero con mejor distribución nativa dentro de crypto.
▶ Hacia dónde va el trade de IA después de memoria
Su tesis es que el trade crowded ya rotó de MAG 7 hacia memoria porque el capex de hyperscalers tiene que aterrizar en algún sitio. Pero no cree que la historia termine ahÃ. Su siguiente paso es preguntar qué cambia realmente la IA aguas abajo. Sus respuestas son concretas: biotech porque IA acelera drug discovery y mejora la economÃa del sector, defensa porque drones y sistemas militares potenciados por IA cambian el despliegue, robótica / physical AI porque el software está saliendo al mundo real, y reshoring industrial y de chips porque las cadenas estratégicas importan más en una competencia EE.UU.-China.
★ Temas de mercado público que sà le gustan
Felman suena constructivo con Intel como apuesta geopolÃtica de reshoring / seguridad nacional frente a TSMC, con tierras raras y minerales estratégicos, con biotech, con defensa y con vehÃculos que den acceso público a robótica privada. También está alcista en mineras de uranio, con un matiz importante: no dice que el precio del uranio tenga que explotar sà o sÃ; dice que las mineras pueden ganar mucho más dinero si el volumen sube, incluso sin un commodity desbocado. Además, sostiene que SpaceX puede justificar múltiplos extremos con el tiempo porque, en la práctica, es la única gran compañÃa espacial realmente viable.
â—† Buscar el alpha
El alpha real no es “vende crypto, compra IA†en sentido perezoso. Es salir de hedges macro envejecidos cuando el mundo vuelve a pagar por crecimiento real y luego subir por el stack hacia los activos que monetizan ese crecimiento. Felman, en la práctica, está diciendo: crypto como ideologÃa tiene menos edge; crypto como rail de ingresos sigue funcionando; memoria fue la primera derivada del buildout de IA; biotech, defensa, robótica, energÃa y acceso a privados son las siguientes derivadas. Además, ata toda la estructura del mercado a una realidad social: más gente se siente excluida de la creación de riqueza, asà que el trading se convierte en comportamiento de masas. Eso favorece exchanges, brokers, prediction rails y trades de momentum casi tribales, pero también hace que las señales de burbuja se propaguen mucho más rápido.
- Rotación de capital: salió de Bitcoin como exposición pasiva y se movió hacia sectores ligados a IA e infraestructura crypto con ingresos reales.
- Mejor expresión: parece preferir plataformas, rails y capas de aplicación del mundo real frente a tokens puramente simbólicos o narrativos.
- Marco de burbuja: no pelea el momentum por ego; vigila apalancamiento, comportamiento crowd y señales de que gente sin interés previo en mercados empieza a repetir el mismo trade.
- Condición de reentrada: volverÃa a mirar Bitcoin si la estructura mejora, cambia la liquidez o aparece una dislocación de precio lo bastante severa.
| Tema / Activo | Señal | Lectura |
|---|---|---|
| Bitcoin | Vendido / en espera | Sigue viendo valor, pero no como el mejor uso de capital mientras el crecimiento real ligado a IA concentra la atención. |
| Hyperliquid | Positiva | Apuesta directa a un mundo más financialized y a infraestructura crypto que realmente genera ingresos. |
| Strategy / “Stretch†| Riesgo estructural | Cree que este overhang es una de las razones por las que el capital tradicional mira Bitcoin con recelo ahora mismo. |
| Biotech | Alcista | La IA acorta el camino entre computación, descubrimiento de fármacos y valor económico real. |
| Defensa / drones | Alcista | La IA está saliendo del chatbot y entrando en despliegue militar e industrial. |
| Intel / reshoring de chips | Alcista | La lógica de seguridad nacional puede reratear capacidad manufacturera estadounidense frente a dependencia offshore. |
| Mineras de uranio | Alcista | El buildout nuclear puede elevar beneficios de mineras aunque la trayectoria del commodity sea desordenada. |
| SpaceX | Alcista, con atención a valoración | Cree que puede sostener una escala extraordinaria porque tiene muy poca competencia real. |
| Stablecoins / Circle | Cautelosa | Le gusta la tendencia de stablecoins, pero duda que los ganadores bursátiles sean obvios, sobre todo con bancos entrando y Tether tan fuerte. |
â–º Resumen por capÃtulos
1. Intro (0:00)
Pompliano enmarca la charla alrededor de la venta de Bitcoin de Avi Felman, su rotación hacia IA, ideas en biotech y defensa, y cómo pensar la psicologÃa del trader en un mercado muy volátil.
2. Why he sold all his bitcoin & crypto (1:03)
Felman dice que la mejor narrativa de Bitcoin era servir de escape ante error de polÃtica y fragilidad del sistema. Con crecimiento secular real visible en IA, robótica, biotech y defensa, cree que hoy Bitcoin pasivo es un uso de capital menos atractivo.
3. The Hyperliquid thesis & the broken social contract (6:52)
Conecta Hyperliquid con una tesis más amplia: el contrato social de la clase media se siente roto y eso empuja a más gente hacia trading y especulación. Él quiere poseer la capa de plataforma de ese comportamiento.
4. What would make him buy bitcoin again? (20:01)
Nombra tres condiciones de reentrada: resolver el overhang de Strategy/Stretch, despejar el miedo a quantum y ver o liquidez nueva o un setup Fed/inflación que vuelva a favorecer Bitcoin. También dice que un movimiento hacia 40K le llamarÃa la atención.
5. Strategy + STRC & how to gain an edge in the markets (21:58)
Defiende que Strategy no es un clon de Luna, pero aun asà ve riesgo estructural alrededor de Stretch y de posibles forced sellers. Luego gira hacia una idea central de trading: el edge más valioso aparece cuando mantienes racionalidad mientras otros entran en pánico.
6. What comes after the memory stock boom? (33:40)
Su visión es que la primera derivada de IA fue el capex de hyperscalers y los ganadores en memoria. La siguiente derivada es aplicación: biotech, defensa, robótica y sectores donde IA cambia la economÃa real.
7. Biotech, defense, & rare earth minerals (37:58)
Dibuja un barbell entre beneficiarios de IA y aislamiento estratégico de EE.UU., destacando biotech, defensa, Intel frente a TSMC y exposición selectiva a tierras raras.
8. Robostrategy, private markets & NAV premiums (39:29)
Le gustan los wrappers públicos que dan acceso retail a robótica privada, pero advierte que hay que distinguir entre crecimiento real del NAV subyacente y expansión injustificada de la prima.
9. Why index fund returns may be lower going forward (44:08)
Sostiene que las empresas permanecen privadas durante más tiempo, permitiendo que el capital privado capture gran parte del upside antes de que llegue el público. Eso ayuda a explicar por qué retail persigue vehÃculos alternativos, herramientas activas y trades más volátiles.
10. Contrarian investing & spotting a bubble (55:40)
Su regla no es ser contrarian por postureo. Compra megatendencias en caÃdas violentas, reduce en subidas manÃacas y vigila apalancamiento, contagio social y chatter del mundo real para juzgar si una burbuja se está calentando demasiado.
11. Meme stocks, retail & future outlook (67:44)
Dice que las stablecoins probablemente importen mucho, pero eso no convierte automáticamente a Circle o Coinbase en las mejores apuestas públicas. También argumenta que la bolsa ya se comporta más como crypto: tribus online, memes e identidad compartida mueven cada vez más el precio.
12. The 1000x Podcast (73:25)
El cierre es sobre todo wrap-up y promo del show, después de una conversación centrada en cambio de régimen, rotación de capital y cómo sobrevivir mercados cada vez más guiados por narrativa.
Generado con algoritmo v2.1-anchor-first · modelo openai-codex/gpt-5.4 · 2026-06-29T23:05:56Z
Transcripción
[0:01] outside the system.
[0:03] >> Bitcoin is valuable because if the
[0:04] system makes mistakes, there's an escape
[0:06] hatch. But that only makes sense in a
[0:09] world where the Fed has massive control
[0:11] or the government has massive control
[0:13] over the direction of the economy, which
[0:14] was true for a very long period of time.
[0:16] I mean, basically from the Great
[0:18] Recession up until today, people watch
[0:20] the Fed like a hawk. Today, that matters
[0:22] less. And it matters less because you're
[0:24] seeing true secular worldchanging growth
[0:27] in robotics, in AI, in biotech, in
[0:30] defense. Things are genuinely happening.
[0:32] Things are genuinely being built. I
[0:34] mean, SpaceX is a great example of this.
[0:36] What's going on, guys? Today, we got a
[0:37] great conversation with Avi Filman. He's
[0:39] an extremely successful former hedge
[0:40] fund manager and he's the host of the
[0:41] Thousandx Pod. Avi and I talk about the
[0:44] AI trade, why he doesn't own any Bitcoin
[0:46] right now, what's going on in the crypto
[0:47] industry, how he's thinking about
[0:48] biotech, defense stocks, and then we get
[0:50] into the psychology of a trader and
[0:52] what's been happening in the market with
[0:53] so much volatility, how you can generate
[0:55] an edge, and then what should you be
[0:57] thinking about going forward and how to
[0:59] spot a bubble and maybe when you should
[1:00] sell. All that much more in this
[1:02] conversation with Avi Felman. All right,
[1:04] Avi, uh, you were just telling me
[1:05] something that I think we got to get
[1:06] right into is that you've been in crypto
[1:08] since 2016, but you now own no Bitcoin
[1:10] and it sounds like almost no crypto.
[1:12] you've completely divested. What's going
[1:14] on? Did you just like lose the faith?
[1:16] >> Yeah, it's a it's something that I've
[1:17] actually been struggling with for a
[1:19] while because I actually made crypto
[1:21] somewhat part of my identity
[1:23] >> for a period of time. I mean, I
[1:24] graduated university in 2017 and went
[1:27] straight into the industry because I
[1:28] found that there was a tremendous amount
[1:29] of edge at that time. Basically, nobody
[1:32] cared about crypto. You talk to your
[1:34] average person on the street, they had
[1:35] no idea what Bitcoin was. I remember
[1:37] when Bitcoin first made into the front
[1:39] page of the Wall Street Journal and
[1:40] everyone was just going, "This is
[1:42] incredible. I can't believe it. I can't
[1:44] believe that we've we've done this.
[1:46] We've won." Back in 2017 when Bitcoin
[1:49] finally broke its all-time highs again.
[1:51] And basically from that moment up until
[1:53] 2025,
[1:54] I've had a significant portion of my
[1:57] investment portfolio in crypto. And
[2:00] today, the world is just a very
[2:02] different place than it was in 2017.
[2:03] It's a very different place than the
[2:05] world was in 2020. I mean when you look
[2:07] back at what happened to Bitcoin in 2020
[2:09] because of co look you know as
[2:11] >> crazy
[2:12] >> insane you know as well as I do what
[2:14] happened was the entire world shifted
[2:16] online people didn't have anything to do
[2:18] in in the real world and what was
[2:21] happening is that there was so much
[2:22] liquidity shoved into the markets
[2:26] because of the Fed because of the
[2:27] government because they were worried
[2:29] that secular growth in America had ended
[2:32] that there might be a complete and utter
[2:34] shutdown of the markets and they needed
[2:35] to keep people afloat. Mhm.
[2:36] >> And so a huge portion of this idea of
[2:40] crypto, if you really dig into it, what
[2:42] is it? Why is Bitcoin valuable? Bitcoin
[2:45] is valuable because it exists outside
[2:46] the system.
[2:47] >> Bitcoin is valuable because if the
[2:49] system makes mistakes, there's an escape
[2:51] hatch. You can say if the Fed raises
[2:54] rates incorrectly or cuts rates
[2:56] incorrectly, stimulates the economy too
[2:57] much, inflation runs out of control.
[2:59] There's somewhere for you to go.
[3:02] But that only makes sense in a world
[3:04] where the Fed has massive control, the
[3:07] government has massive control over the
[3:08] direction of the economy, which was true
[3:10] for a very long period of time. I mean,
[3:12] basically from the Great Recession up
[3:13] until today, people watch the Fed like a
[3:16] hawk. Today, that matters less. And it
[3:18] matters less because you're seeing true
[3:20] secular worldchanging growth in
[3:22] robotics, in AI, in biotech, in defense.
[3:26] Things are genuinely happening. Things
[3:28] are genuinely being built. I mean,
[3:29] SpaceX is a great example of this. It's
[3:31] possible in 15 years we have genuine
[3:33] asteroid mining. It's possible in 20
[3:35] years we're going to Mars. I mean, these
[3:37] are advancements that humanity couldn't
[3:39] even have dreamt of 30 years ago. And
[3:42] so, the amount of money that is pumped
[3:44] in the system, the irresponsibility of
[3:46] the Fed or the irresponsibility of
[3:48] government somehow now takes a backseat
[3:50] to the actual future. And that's one of
[3:53] the reasons that I think crypto has been
[3:54] struggling so much is because we don't
[3:59] have a narrative for it right now.
[4:02] With that being said, at the end of the
[4:04] day, I'm a trader
[4:06] >> and I think that there's a price at
[4:07] which Bitcoin makes sense and the
[4:09] Bitcoin is not going away. I don't think
[4:10] it's going away. I just think at this
[4:12] moment in time, attention is elsewhere.
[4:14] For the foreseeable future, attention
[4:16] will be elsewhere. And so for me, it
[4:18] just doesn't make a ton of sense to be
[4:19] holding this drag when I can be holding
[4:21] memory stocks or I can be investing in
[4:23] something that's genuinely going to
[4:24] change the world, right? If you have the
[4:25] choice between hedging your bets with
[4:28] Bitcoin, I mean, it used to be used to
[4:31] be 80% of my portfolio, right? Used to
[4:33] be substantial amount of my holdings
[4:35] versus investing in biotech companies
[4:37] that are now using AI to discover drugs
[4:39] that we could have again never dreamed
[4:41] of before and at a faster pace than ever
[4:43] and actually make real money and impact
[4:45] real lives. you kind of have to go with
[4:46] the ladder. But that doesn't mean that
[4:48] crypto is dead. It's just changed. It's
[4:51] all of the crypto that I'm invested in
[4:53] now
[4:54] are companies that are using crypto
[4:56] technology.
[4:57] >> That's what I'm most interested in.
[4:58] >> Like what's an example?
[4:59] >> So Hyperlquid is the is the obvious
[5:01] example, but I'm even looking at things
[5:02] like cards, right, which is which is a
[5:05] lower cap um coin that basically has to
[5:07] do with the trading collectibles, the
[5:09] trading card market, right? That makes
[5:10] that makes revenue. If you look at VVV,
[5:13] which is Eric Vorhees's project, uh the
[5:15] exact
[5:18] value acral to the token is debated, but
[5:20] the thing is making money. It's actually
[5:22] pulling in revenue. It's a good product
[5:24] that uses crypto infrastructure to
[5:26] generate revenue. And that's really
[5:27] where we're going is people have
[5:29] realized now, wait a second. So maybe
[5:33] the vast majority of things that we
[5:35] created, these infrastructure projects,
[5:37] uh these tokens that pump to the high
[5:39] heavens, they weren't actually useful
[5:41] because they weren't generating any real
[5:44] money. And at the end of the day, what
[5:46] you need is you need users and you need
[5:48] revenues. And so there are a ton of
[5:50] crypto projects out there that are
[5:51] generating revenues. And it's the same
[5:52] way that you go back to the internet
[5:55] bubble, right? People love using this,
[5:57] but it is a varied apt comparison.
[6:01] If you think about it, in the beginning,
[6:03] everyone talked about how internet
[6:04] companies were going to take over the
[6:06] world. Then the bubble burst and then 10
[6:09] years later, nobody was really talking
[6:10] about internet companies. They were just
[6:11] talking about companies, right? Does
[6:13] Facebook make money? Does Google make
[6:15] money? Walmart is benefiting from having
[6:17] an online store. Companies adopted the
[6:19] tech.
[6:20] >> Mhm. New companies certainly were built
[6:22] using the basis of the tech like
[6:24] Netflix, right? Would would have never
[6:25] have worked without the internet, but
[6:27] people stopped referring to them as
[6:30] internet companies or just tech
[6:32] companies now, right? And that's that's
[6:33] that's the sector. And that's what's
[6:35] going to happen in crypto is we're no
[6:37] longer going to have crypto companies in
[6:40] the same sense. We're going to have
[6:42] fintech companies that use crypto as a
[6:43] back end. I mean, I would classify
[6:44] Hyperlid as a fintech company. I think
[6:47] tokenization is going to be massive just
[6:49] because it's better. It's easier. It's
[6:50] simpler. It's faster.
[6:52] >> What is the thesis on hyperlquid?
[6:54] >> So the thesis on hyperlquid is quite
[6:58] simple. It's that the financialization
[7:01] of the world is here. People are trading
[7:03] everything now. People are trading
[7:05] people are trading the weather. People
[7:06] are uh punting on Korean stocks. People
[7:09] are punting on US single single name
[7:11] equities more than ever. And what you
[7:13] want is you want an easy way to be able
[7:15] to do that. And so the hyperlquid thesis
[7:17] is actually basically the same thesis as
[7:20] the Robin Hood thesis. It's the same
[7:22] same thesis as investing in any in any
[7:24] brokerage that or the college street
[7:25] thesis or the poly market thesis. But I
[7:28] think that the market is big enough that
[7:29] there are going to be multiple winners
[7:30] here that are going to be generating
[7:32] tremendous amounts of value. I think and
[7:35] this is something we can get into cuz
[7:36] this is actually very important is my
[7:39] view is that the social contract with
[7:42] the with America has been broken with
[7:44] the average which your average American
[7:46] has been broken prior if you put your
[7:49] money if you worked for 30 years you put
[7:51] your money into a pension fund you could
[7:53] retire you could get paid out that
[7:54] doesn't really exist anymore there not
[7:55] many pension funds right so now the
[7:58] entire crux of the argument is if you
[8:01] work and you invest in your 401k and you
[8:02] put into the stock market, then you'll
[8:05] be able to retire comfortably. But the
[8:06] reality is that inflation for the
[8:08] average person over the last 30 years
[8:09] has been horrendous. And even if you had
[8:12] all of your earnings put into the stock
[8:13] market, housing prices have run away
[8:15] from you, right? a lot of things have
[8:17] just completely run away from you
[8:18] because the top end the capital the
[8:20] capital class of which I you know
[8:22] obviously I don't want to sound like a
[8:24] communist here but it is it is true that
[8:26] the capital class has sucked up a
[8:28] tremendous amount of wealth and they've
[8:30] deployed that into assets and shot shot
[8:32] the price up so the social contract in
[8:33] many ways has been broken so people are
[8:35] searching for ways to escape that right
[8:39] they're searching for ways to escape you
[8:41] know the permanent underclass
[8:43] >> as people call it and what they're doing
[8:45] is that they're gambling on sports,
[8:46] they're betting on the weather, they're
[8:47] on koshi, they're on poly market, and
[8:49] this entire area is just going to grow
[8:51] because I don't especially with AI.
[8:54] I don't know if I foresee this getting
[8:56] better. I actually potentially foresee
[8:58] it getting worse. Now, when we look at
[9:01] sports gambling apps, the prediction
[9:03] markets, I think a lot of folks say,
[9:05] "Hey, that is some form of speculation,
[9:07] gambling, etc." Hyperl is the same in
[9:12] your mind or it's different. Is it more
[9:13] like the New York Stock Exchange or is
[9:15] it more like a sports, you know, sports
[9:17] book?
[9:17] >> It's a combination. And what you're
[9:20] actually seeing is you're actually
[9:21] seeing the New York Stock Exchange and
[9:22] NASDAQ and all these other companies,
[9:25] they're coming closer to the call sheet.
[9:27] They're integrating this the gambling.
[9:29] They're integrating all that because
[9:30] they realize that's where the world is
[9:32] going. I mean, look, pump
[9:35] three years ago, Wall Street Bets was
[9:37] the biggest subreddit in the world. I
[9:39] mean, the level of activity there was
[9:41] through the roof. And that was 3 years
[9:43] ago. Um, if you remember during co,
[9:47] everybody became a day trader because of
[9:48] all because of the GameStop squeeze. And
[9:51] it gave people a taste of what it's like
[9:52] to be on the winning side.
[9:54] >> Mhm.
[9:54] >> And I think that addiction has stayed
[9:56] with us. And that's what people are
[9:58] really looking for because you're
[9:59] thinking to yourself, if I make 100,
[10:01] even if you make 100k a year for the
[10:03] next 30 years, that's
[10:06] 3 million in gross. And how much is a
[10:09] house? How much is like a How much is a
[10:11] three-bedroom apartment in Manhattan?
[10:12] >> Well, you gota pay taxes, all you got to
[10:14] live, you gota do all this stuff. Yeah.
[10:16] >> And and so what's happening right now is
[10:18] that people are really searching for
[10:19] ways to basically accelerate their
[10:22] growth. And so that's why trading and
[10:26] investing has become a bigger part of
[10:29] everyday people's lives. I mean again,
[10:30] you go back 30 years, your average
[10:32] person was not trading the stock market.
[10:34] They might be invested, but they're not
[10:35] trading. And today they are. And that
[10:37] actually is also a function of there's
[10:40] more opportunity now. There's more
[10:41] opportunity than ever. That and that was
[10:42] that was the beauty of crypto is like
[10:44] crypto was a playground for people that
[10:46] were intelligent and smart and could
[10:48] generate edge. It was a playground
[10:50] because at 22 years old I get into the
[10:52] market and I find that this is a great
[10:55] place to be.
[10:56] >> Mhm.
[10:57] >> Because there's tremendous edge because
[10:59] not a lot of people are playing in it
[11:01] yet. And there's a there's a way to make
[11:02] money. There's a way to basically fast
[11:04] forward my career as a 22-year-old. And
[11:06] that's what people I think are really
[11:08] they've seen that happen in many
[11:10] different industries over and over and
[11:12] over in the last 10 to 15 years whether
[11:14] it's you know what happened with a bunch
[11:16] of these people in AI in Silicon Valley
[11:18] or uh in crypto in in 2017. And today
[11:22] what people are thinking to themselves
[11:23] is how do I escape? How do I get there?
[11:25] How do I get to the next level?
[11:27] >> And so Hyperlid is capturing that
[11:29] financialization
[11:31] of the world. And I think the tech
[11:33] behind it is ob I mean it's just as a
[11:36] native user of crypto it's just easier
[11:38] to use than a Robin Hood or Interactive
[11:41] Brokers or any of these other sites
[11:43] maybe less so than a Koshi Kali is
[11:45] actually pretty easy to use. Poly
[11:47] market's a little bit tougher and I
[11:49] think that this entire sector is just
[11:52] going to grow. I mean we're going to see
[11:53] people trade literally everything. I
[11:55] mean there could be a future in which
[11:56] people are just like betting on what
[11:58] words you say during this podcast,
[12:00] >> right? And that market could grow large
[12:02] because if people are like, well, I just
[12:04] got to find something to bet on. You got
[12:05] to you got to scratch the itch.
[12:07] >> Mhm.
[12:07] >> I mean, that's that's really that's
[12:09] really my take. And I think that
[12:10] Hyperlid obviously makes a ton of money.
[12:11] And so that that's very valuable.
[12:13] >> One of the things that I find
[12:14] interesting is if you look at this like
[12:16] K-shaped economy, basically it's the
[12:17] hollowing out of the middle class, but
[12:18] when you dig into the data, there are
[12:20] definitely people who are worse off.
[12:21] There there's a lot of people, right? Um
[12:24] if you go and look at the poverty data
[12:26] as an example um in uh 2025
[12:30] or excuse me 20 uh 2005 give or take
[12:33] there was about 35 million people who
[12:36] were below the poverty line. Today 20
[12:38] years later all the work that's been
[12:39] done all the there's still about 35
[12:41] million people in America that are
[12:42] estimated to be below that poverty line.
[12:44] So what ends up happening is the poverty
[12:45] rate has come down because more people
[12:48] live in the United States than they did
[12:49] 20 years ago. But the same number of
[12:51] people are still living in poverty. Now
[12:53] at the same time we have actually seen a
[12:56] lot of people in the middle class be
[12:57] able to ascend in from a socioeconomic
[13:00] standpoint. There's mobility to the
[13:02] upside. So what you got is you got this
[13:03] like bifurcation and the middle class
[13:05] went away because some of them got
[13:06] pushed down, some of them got pulled up,
[13:08] right? And I think that that's even kind
[13:10] of a weird dynamic of that middle
[13:12] ground. How many people do you know
[13:14] that, you know, live a quoteunquote
[13:16] middle of, you know, the economic stack
[13:20] lifestyle? There's really not that many.
[13:22] Either you got money and you can go do
[13:24] cool things and, you know, kind of live
[13:26] the life that everyone, you know, dreams
[13:28] of doing or you don't. And that middle
[13:31] ground doesn't really seem like a thing.
[13:33] Like, I don't know a lot of people even,
[13:35] you know, seeing online that are like, I
[13:37] only go on one vacation per year. It's
[13:40] kind of like I go on vacation a lot or I
[13:42] don't go on vacation at all. And I think
[13:44] that that is like a very weird dynamic
[13:46] that just didn't exist 20 30 years ago.
[13:49] >> Absolutely. And it's actually becoming a
[13:51] social problem
[13:52] >> now at this point. I mean, I don't know
[13:53] if you saw the elections in New York
[13:56] recently, but the the socialist sweep is
[13:58] a direct result of downwardly mobile
[14:01] individuals that are living in New York
[14:03] that or downwardly mobile being they're
[14:05] doing worse than their parents
[14:07] >> and they're voting for socialism because
[14:08] they they feel like the social contract
[14:10] has been broken. Now, what I always say
[14:11] to these people is that the best way to
[14:14] get a car in every driveway and a
[14:15] microwave in every kitchen is to allow
[14:17] the capital class to invest. is to allow
[14:19] invention to occur and to actually
[14:22] encourage success in America because
[14:24] that's how you get lower cost for
[14:26] everything. I mean, when you look at
[14:28] quite literally everything that's ever
[14:30] been invented,
[14:31] >> it gets more accessible as time goes on
[14:33] because we figure out better ways to
[14:34] deliver things to people, right? Without
[14:36] I mean, Amazon has probably lowered
[14:38] costs for,
[14:40] you know, millions and millions and
[14:41] millions of different types of goods
[14:43] because of their logistic system. And
[14:44] now you can get things in two days where
[14:47] 30 years ago you'd have to wait two
[14:48] years for some of this stuff.
[14:49] >> Well, there's also there's also the
[14:51] famous chart of like the private market
[14:53] is driving cost down and then everything
[14:55] the government's involved in in terms of
[14:56] education, healthcare etc is all, you
[14:58] know, skyrocketing and so in a weird way
[15:00] you you don't want that. I also think
[15:02] you know one of the uh aspects of
[15:04] society and I feel like you you
[15:06] obviously pay a lot of attention to the
[15:07] financial markets but you you're very
[15:08] aware I think of social trends of uh
[15:10] some political stuff etc. is um there is
[15:14] something about testosterone
[15:18] in society. Yeah. And we know that
[15:20] testosterone in general is falling for
[15:22] all men um across age groups. And so
[15:25] like that is on one hand like there's a
[15:27] health component to it but there's also
[15:28] like a social component to it. But also
[15:30] there's now a lot of studies that are
[15:32] coming out that uh young women who
[15:35] either are in a relationship, spend time
[15:37] with a lot of other men etc. they
[15:40] actually start to move where they are on
[15:43] the political spectrum,
[15:44] >> right?
[15:44] >> There are studies that are coming out
[15:46] that if you take a male and you give
[15:48] them external testosterone, they start
[15:50] to shift right on the political
[15:52] spectrum. So, you see these like data
[15:54] points and there's no like kind of like
[15:55] perfect analysis. There's no like, hey,
[15:57] here's the quintessential, you know,
[15:59] study to go look at. But what you start
[16:01] to realize is like in a very weird way,
[16:02] there's a biological connection to some
[16:05] of the social ramifications through the
[16:07] political process, right? And the reason
[16:09] I bring that up is because increasingly
[16:12] we know that there are lower marriages
[16:14] or people waiting longer to get married.
[16:16] They're waiting longer to have children.
[16:17] Like all the again all of these things
[16:18] that we know of. But when that happens,
[16:22] then you take the like quote unquote
[16:24] average voter. Okay, they're older.
[16:27] They're less likely to have children.
[16:29] They're less likely to have, you know,
[16:31] multiple children. They're less likely
[16:33] to hit, you know, kind of check all
[16:34] these boxes. they actually have less
[16:37] investment in the future.
[16:38] >> Yeah.
[16:39] >> And so in a weird way it becomes what
[16:41] can I get now versus what can I wait for
[16:44] in the future. And the statistics that
[16:46] we've been talking about a lot is 89% of
[16:48] boomers or you know uh kind of senior
[16:51] citizens they are in favor of taxing
[16:53] young people more so they can keep
[16:55] getting their benefits.
[16:56] >> Absolutely.
[16:57] >> But it makes sense, right? Like if
[16:59] you're 70 years old like of course
[17:00] that's what you believe.
[17:01] >> Of course. Of course this is of course
[17:02] it's happening. Look, I think that you
[17:05] might be asking if you're if you're
[17:06] listening to this podcast like why why
[17:07] are two people that are ostensibly
[17:09] talking about the financial markets
[17:10] discussing social dynamics and there's
[17:12] actually a very important reason and the
[17:14] reason that I've started paying
[17:15] attention to politics a lot I mean I
[17:16] grew up in Washington DC. I grew up
[17:18] around politics my entire life. It's
[17:20] something that I've always been
[17:20] interested in from a personal level uh
[17:22] and also somewhat from a professional
[17:24] level. But it's more and more likely to
[17:27] impact the markets than ever before. If
[17:29] you're a trader or an investor or
[17:31] anybody that wants to make money in this
[17:33] world, you have to understand what what
[17:34] made you your money and what can stop
[17:36] you from making money.
[17:37] >> And these trends that you're talking
[17:38] about are the single biggest risk to the
[17:41] future performance of the markets. Index
[17:43] funds, uh, single name stocks, literally
[17:45] you name it, socialism and communism,
[17:48] the rise of all of that is the single
[17:50] biggest threat to the markets. Mhm.
[17:53] >> And so when I look at investing, I right
[17:56] now the way that I view the markets is
[17:57] very is very straightforward. It's we
[17:59] are in a period we are in at an
[18:02] inflection point. The markets are
[18:04] growing faster than ever because of true
[18:06] revolutionary technology that is
[18:08] unfortunately at the same time actually
[18:11] taking capital and condensing it within
[18:14] a top the top 1% even further. Now, that
[18:17] doesn't necessarily have to be a bad
[18:19] thing, but social unrest occurs not
[18:22] because of absolute value. You might be
[18:25] better off in 5 years than you are
[18:27] today, but if you look at your neighbor
[18:28] and your neighbor is 10x better off than
[18:30] you, you feel discontent. And so, that's
[18:33] why I I sent out a tweet the other day
[18:34] that really riled people up. But it was
[18:37] that so social inequality or income
[18:40] inequality is not a real problem. It's a
[18:41] social problem,
[18:43] >> right? Because income inequality doesn't
[18:44] directly lead to the degradation of the
[18:47] people at the bottom half of the K.
[18:49] Doesn't lead to the degradation of their
[18:50] lives. What it does lead to is
[18:51] comparison.
[18:52] >> Mhm.
[18:53] >> And to me, I mean, comparison is is is a
[18:55] thief of joy. But that is probably going
[18:58] to end up with at some point as people
[19:01] continue to get wealthy in the stock
[19:02] markets. You're going to see agitation
[19:04] for wealth taxes. You're going to see
[19:05] agitation for potentially at some point
[19:08] seizing seizing capital. And this is
[19:10] when I go back to crypto. This is why
[19:12] crypto still has value. This is why at
[19:14] some point I will own crypto again. And
[19:16] I think it's probably important to own I
[19:19] mean I own Zcash um and a little bit of
[19:21] and a little bit of Monero as well
[19:22] because I think that it's important to
[19:24] have these things as a hedge. But this
[19:25] is where this is where the world is
[19:27] going. And so at the same time that you
[19:29] have these massive sec secular growth
[19:32] trends in all of these incredible areas,
[19:35] you have this dangerous political trend
[19:37] rising. And those two things are
[19:39] inevitably going to come to a head. And
[19:41] you have to be prepared. You have to
[19:43] understand what's going on. You have to
[19:44] be paying attention to what's happening
[19:46] in the world of politics. So you can
[19:47] start to think to yourself, well, okay,
[19:49] maybe we were maybe last year I thought
[19:51] we were 5 years off. Now we're 2 years
[19:53] off.
[19:53] >> I mean, with the elections in New York,
[19:55] maybe 2028 looks different, right? And
[19:57] so that's that's really why I focus on
[19:59] this kind of stuff and I and I think
[20:01] about it.
[20:01] >> What has to be true for you to buy
[20:02] Bitcoin again?
[20:04] >> It's a good question. Well, right now
[20:07] it's a flows issue. Right now it's that
[20:10] Michael's I mean this morning when I
[20:12] checked Stretch it's at 76. Stretch
[20:14] being the Bitcoin savings account that
[20:17] Michael Sailor has set up for himself
[20:18] and and for you the investor.
[20:22] It's not looking good and people are
[20:25] afraid to touch Bitcoin. I mean, I came
[20:27] a little bit of my background is that I
[20:29] used to be the portfolio manager of a
[20:31] hedge fund called Block Tower, uh, which
[20:34] was an institutional crypto fund and
[20:36] then I moved over to actually start the
[20:38] crypto and alternative assets business
[20:39] with a partner named Joe Nagger under a
[20:42] $50 billion credit fund called Golden
[20:44] Tree. Uh, serious shop. They got into
[20:47] crypto in 2022 when I came over
[20:51] basically because they thought that
[20:52] crypto was going to be worldchanging
[20:54] tech. And fast forward 4 years when I
[20:58] talk to my old colleagues or when I talk
[21:00] to people from the traditional world of
[21:02] finance, they're just worried about
[21:04] Sailor. They're worried about they're
[21:06] worried about two things. They're
[21:07] worried about quantum and they're
[21:08] worried about Sailor. And then the third
[21:10] thing is that there's no narrative to
[21:13] drive purchase of Bitcoin.
[21:16] That's honestly lesser than what's h
[21:19] what's happening right now, which is
[21:20] people are kind of chucking out. So,
[21:21] what I need to see specifically is I
[21:22] need to see the sailor problem solved. I
[21:25] need to see the quantum problem solved,
[21:27] and I need to see liquidity or I need to
[21:32] see the Fed acting in a way that would
[21:35] make me worried about increasing
[21:37] inflation.
[21:38] >> I I would need to see injection into the
[21:40] injection into the economy. And right
[21:42] now there is a ton of liquidity, but
[21:44] there's also real growth and people are
[21:46] making real money. And that's I think
[21:47] the biggest the biggest difference. So
[21:48] with Bitcoin specifically, I'm wait I
[21:50] mean maybe I'll buy it. If we get like a
[21:52] puke out, if we trade 40K, I'll probably
[21:55] get back get back in. But until then,
[21:57] I'm waiting for these three things.
[21:59] >> Do you think that uh strategy and uh
[22:03] stretch their preferred equity are
[22:05] sustainable or are you worried that
[22:06] there could be some implosion?
[22:10] So the the difference people compare it
[22:13] to Luna. It can't be a Luna. And the
[22:15] reason that it can't be a Luna is
[22:17] because there's in Luna there was I'll
[22:19] tell you I'll tell you a story. When I
[22:21] was when I first came to Golden Tree, it
[22:23] was basically the first week that Luna
[22:26] like that Luna really started dagging.
[22:28] And one of the partners at the firm
[22:31] wakes up one day and calls me and says,
[22:34] "Hey Avi, I really think we should buy
[22:36] some some Luna here or US or Luna. It's
[22:39] down 75%.
[22:42] And I said, "You can't buy it. Like, you
[22:44] just you can't buy this thing. It's
[22:46] going to go to zero." He goes, "That
[22:48] makes no sense. I've been trading
[22:50] markets for 30 years. I've never seen an
[22:52] asset go down 75%." And not bounce.
[22:56] Said, "You don't understand. There's a
[22:57] mechanism here." And the mechanism was
[22:58] you could buy US and turn it into Luna.
[23:02] And as long as Luna kept going down
[23:05] there, there there was a continuous ARB
[23:06] to just print infinite Luna and send it
[23:08] to zero. You can't do that with that
[23:12] doesn't exist. So So the people trying
[23:13] to make a comp, there's no direct comp
[23:15] here. What's happening with Stretch is
[23:17] that Michael Sailor has two levers he
[23:19] can pull. He can either sell well three.
[23:21] He can he needs to fund the dividend for
[23:23] Stretch. So he can either sell MSTR to
[23:26] generate cash, you can sell Bitcoin to
[23:28] generate cash, or you can buy you can
[23:29] get people to buy into Stretch at Par to
[23:31] generate cash to to buy Bitcoin and then
[23:33] use part of that to end up paying out
[23:36] the dividends. The dividend is not in a
[23:40] smart contract. He can pause it at any
[23:42] time there. He can just say, "Guess
[23:44] what, guys? I'm not paying you out. This
[23:47] every holder of Stretch is going to get
[23:49] totally nuked. this thing's basically
[23:51] going to go to zero, but I'm holding the
[23:53] Bitcoin, right? I'm not I'm not going to
[23:55] sell the Bitcoin. So,
[23:56] >> I've thought multiple times,
[23:57] >> right?
[23:58] >> Again, reputationally, there would
[24:00] probably be a lot of damage, but from a
[24:02] pure economic standpoint, if they let
[24:05] Stretch go to zero by just simply
[24:07] turning off the dividend, they keep all
[24:08] the Bitcoin, they don't owe anybody
[24:10] anything. I mean, it's kind of this
[24:11] crazy, you know, what is I think a lot
[24:13] of people deem as a potential edge case,
[24:15] but it's possible, right?
[24:16] >> It's it's for sure possible. And not
[24:18] only that, it's probable. You think so?
[24:20] I think so. I think that he's probably
[24:22] he's going to either have to do it or be
[24:26] or want to do it. I mean, if there's one
[24:28] thing we know about sailor that sellers
[24:30] are genius at financial engineering.
[24:31] >> Mhm.
[24:32] >> He is he's come up with a ton of
[24:36] different ways to juice value from BTC.
[24:38] And what he wants to avoid more than
[24:40] anything is a total implosion of his
[24:43] story.
[24:43] >> Mhm.
[24:44] >> And of MSTR
[24:45] >> of MSTR of of MSTR stock. And if MSTR
[24:48] stock, if he doesn't solve this
[24:50] stretches issue, basically MSTR goes to
[24:52] zero. And you you you kind of have to
[24:54] stop playing the game. I don't think he
[24:55] wants to stop playing the game. It's
[24:57] much easier to just shut down the
[24:59] stretch product than it is to battle
[25:01] this all the way to the dirty end and
[25:03] have MSTR end up going to zero because
[25:05] he keeps having to issue at the money
[25:07] offerings for for it to to pay off the
[25:08] difference.
[25:08] >> Is there a world where MSTR has to
[25:11] become a force seller and puke out a lot
[25:13] of the Bitcoin?
[25:15] uh there is there is a world in which
[25:18] that happens and I think Sailor was
[25:19] trying to basically frontr run that
[25:22] potential uh fear in the market. He used
[25:26] with with the sale. I mean he
[25:28] >> only 32 bitcoin
[25:29] >> but but he used the word inoculate
[25:32] >> like he quite literally used the word
[25:33] like a this is a vaccine pump. This is a
[25:36] vaccine. It's I'm going to sell a little
[25:38] bit so that when I sell more later you
[25:41] have the antibodies to resist fear.
[25:43] >> That's really what he was doing is like
[25:45] let me get this let me get this out of
[25:46] the way now.
[25:47] >> Mhm.
[25:47] >> And to me that's um that's dangerous. I
[25:50] do think that it's it's pos it's
[25:53] possible that he sells a portion of his
[25:55] Bitcoin. He doesn't need to sell all of
[25:57] it to cover his debt. I think the the
[25:59] number is uh you know he needs to sell
[26:01] any somewhere between 15 to 25% of his
[26:04] overall Bitcoin.
[26:04] >> The debt would be the stretch debt or
[26:06] >> all the debt that he's taken out to buy
[26:09] >> the converts everything.
[26:10] >> Yeah. the converts and everything
[26:11] because a lot a lot of the bitcoins
[26:12] actually bought just with cash and at
[26:14] the money equity offerings and the
[26:16] convert somebody converts you know
[26:17] obviously went to equity
[26:19] >> as well like not all of it remained as
[26:20] debt.
[26:21] >> Mhm.
[26:22] >> And so I think the numbers maybe don't
[26:24] quote me on this but it's like 15 to
[26:26] 25%.
[26:28] And so he doesn't need to sell all of it
[26:30] and obviously Bitcoin would take a
[26:33] beating in that scenario and that would
[26:36] probably be like you guys got to buy as
[26:38] much as possible. Like you guys got to
[26:40] get in there and just if Sailor's
[26:42] getting liquidated, if there's one thing
[26:43] that I've learned about trading is
[26:45] whenever there's a forced seller in the
[26:46] market, you need to step in there and
[26:48] buy as much as you possibly can. The
[26:51] best trade that I've ever taken in my
[26:54] entire life was buying
[26:58] Ripple equity off of the FTX estate.
[27:01] >> Explain. And so when FTX, this is
[27:04] actually kind of an I've never told this
[27:06] story on a podcast before, but when FTX
[27:10] went down, I was working at Golden Tree
[27:12] and Golden Tree is a big distress shop,
[27:14] distressed shop, and I got a call from
[27:18] Sam Bankman Freed on that day because he
[27:21] knew that there were only a few shops in
[27:22] this world that could plug the hole for
[27:24] him.
[27:26] Golden Trade, the Times, 50 bill. I get
[27:29] this call from this unknown number. Then
[27:31] I get a text. Hey, it's Sam Bankman
[27:33] Freed. Like, there's just no way. Why
[27:35] are you call? I mean, I I'd been
[27:36] friendly with him, but I I didn't think
[27:38] that he'd actually call me. So, I say,
[27:39] "Send me a selfie." Dude sends me a
[27:41] selfie. And he's like sitting there in
[27:42] his Bahamas apartment. He sends me a
[27:44] live photo. It's the funniest live
[27:45] photo. I'll show you offline. I can't
[27:47] share with the world, but it's the
[27:48] funniest photo ever. And I go, "Okay, I
[27:51] guess I'll talk to this guy." But at
[27:53] first, I text lawyers. I'm like, "Okay,
[27:54] should I do this?" 100%.
[27:57] >> Like, am I allowed to talk to this guy?
[27:58] I like text I text the CEO of Golden
[28:01] Tree. I'm like, "Hey, should like we we
[28:02] talked to this guy and I end up chatting
[28:05] with him and like how big's the hole?"
[28:08] He goes, "Well, you know, you know, um I
[28:10] think it's like, you know, we need 2
[28:12] billion, 2 to three billion to cover the
[28:13] hole." I'm like, "Well, okay, but how
[28:15] big's the hole?" He goes, "Well, no, no,
[28:16] we need two to three billion to cover
[28:18] the hole." He's like, "No, no, that's
[28:19] not what I'm asking you. Like, how big
[28:21] is the actual hole?" Uh, it's like 8
[28:23] billion or something like that. Like,
[28:24] all right.
[28:26] which actually looking back on it, if we
[28:29] had filled that hole and taken over FTX
[28:32] and kept all the things that they had
[28:33] within it, that would have been great.
[28:35] Um, but it's those moments when there's
[28:38] peak fear in the markets when you're
[28:41] talking to somebody that is not thinking
[28:43] or acting rationally because of what's
[28:47] going on in the markets, you have to
[28:49] take the other side. I mean, that's what
[28:51] that's what Warren Buffett means when he
[28:54] says buy when there's blood on the
[28:55] streets. He doesn't
[28:56] >> he doesn't mean buy when the market's
[28:59] down. He means buy when people are truly
[29:03] panicking. When people are not making
[29:04] rational decisions and they're selling
[29:06] good stocks, good companies at
[29:09] irrational prices because they are fully
[29:11] panicked.
[29:11] >> March March of 2020 with crypto stocks,
[29:14] etc.
[29:15] >> Exactly. And when the market goes down,
[29:17] sometimes people will abuse this phrase.
[29:19] They'll say, "Well, the market's down 10
[29:20] to 15%, buy when there's blood on the
[29:22] streets." And it's like, well, there's
[29:23] no blood. This has been a very
[29:25] reasonable selloff. It's selling off for
[29:27] good reasons. People are repricing the
[29:29] future.
[29:30] >> I mean, like one example of that was um
[29:34] the first week after the tariffs went
[29:40] out. It's the the the first bit of the
[29:43] selloff. It's purely rational.
[29:45] >> If you put up 200% tariffs on China, the
[29:48] market should probably be down 5 to 6%.
[29:51] Shouldn't be down 40 though, right? And
[29:53] so that's how you kind of have to think
[29:55] about these things is when are when is
[29:57] the market and its market participants
[30:00] acting purely irrationally.
[30:01] >> Mhm.
[30:02] >> And that's actually I mean it's very
[30:03] hard to do as you know because everyone
[30:05] everyone gets emotional. Even the even
[30:07] the smartest people in the world get
[30:08] emotional. I mean I've worked for quite
[30:11] a few billionaire hedge fund guys and I
[30:14] can tell you this.
[30:17] Nobody nobody knows like people
[30:20] know a little bit more than others. And
[30:22] really what it comes down to is being
[30:24] able to keep like logic and emotionality
[30:29] when your emotionality in check and
[30:30] logic when things are going against you.
[30:32] And this is maybe the most important
[30:33] thing about being an investor in my in
[30:36] my personal opinion.
[30:36] >> If people don't know anything, how do
[30:38] you generate an edge in the market? It's
[30:40] >> that was a little flippant, but it's
[30:42] it's people do know. Jim Simons for sure
[30:44] knows things. Uh, but that's a that's a
[30:46] really good question. And it's it's not
[30:49] that
[30:51] edge is
[30:53] let me take a step back. When I first
[30:55] got into trading, the one of the reasons
[30:56] that I first got into trading is because
[30:59] I viewed it as a purest expression of
[31:02] your skill set applied. It's like if
[31:04] you're really intelligent, you can solve
[31:07] this massive markets puzzle. But the
[31:09] question is, do you want to solve the
[31:11] 30,000 piece jigsaw puzzle or do you
[31:14] want to solve like your kids puzzle that
[31:16] has three pieces that you just like the
[31:18] blocks like put the blocks in and
[31:22] trading the equity markets is like that
[31:25] 30,000 piece jigsaw puzzle and trading
[31:27] the crypto markets at that time was
[31:28] playing with blocks. And so obviously
[31:30] some people have an ego to it and
[31:32] they're like I want to do the hard thing
[31:33] to prove to myself that I can do the
[31:34] hard thing. As an investor, you just
[31:36] have to say, "No, I'm going to do the
[31:38] thing that makes me money. I'm not going
[31:39] to do the hard thing." I had some
[31:41] friends back in college that what they
[31:42] would do is uh they would go play poker
[31:46] at Lumiere. I went to school in St.
[31:47] Louis. They would go play poker at this
[31:49] casino called Lumiere outside St. Louis
[31:51] at 2 a.m. on a Saturday to pick off
[31:54] drunk people. It's like, well, that's
[31:56] the kind of thing that you need to think
[31:57] about when you think about what is
[31:59] generating edge. So when I first got
[32:01] into crypto, what I would do is back in
[32:03] 2016, 2017, I started reading these
[32:06] papers on the Malaysian stock market
[32:07] when it first opened up, like posts
[32:09] Soviet Russia collapse when the Russian
[32:11] stock market opened up and strategies
[32:13] for trading those markets. I would take
[32:15] those strategies and I would apply them
[32:16] to crypto.
[32:17] >> And by the time I'd graduated, things
[32:20] were going reasonably well for me. And
[32:22] so that's really how you generate edge
[32:24] is it's not it's not necessarily
[32:27] prognosticating about the future and
[32:29] knowing how everything is going to play
[32:31] out. It's what do you know that other
[32:34] people either aren't looking at or don't
[32:37] understand. Right? If you can truly say
[32:40] people don't understand like post chatb
[32:43] people don't understand how much memory
[32:45] is going to be needed. I'm going to buy
[32:46] memory.
[32:48] When I say people don't know it's
[32:50] like a lot of these macro
[32:52] prognosticators are going to talk about,
[32:53] well, rates are here and and the 10-year
[32:56] is there and the two-year is here and uh
[32:59] NASDAQ V is here and the VIX is here and
[33:01] skew is here and it's like that kind of
[33:03] stuff um quite literally doesn't matter
[33:06] in my opinion unless you're running a
[33:09] quant fund.
[33:10] >> Uh it's it can give you it can give you
[33:11] certain frameworks for things, but it's
[33:14] not going to make you money. I mean, I
[33:16] think a lot of macro talk is kind of
[33:17] just astrology for men.
[33:19] >> As somebody that's been inside these
[33:21] these funds, I mean, it it's useful for
[33:24] sort of figuring out what environment
[33:25] you're you're in, but it's not actually
[33:27] useful for making money. Where the money
[33:28] is made is figuring out what do people
[33:32] really not understand right now. Like
[33:34] what are people missing and what are and
[33:36] this can be for a variety of reasons.
[33:39] Um, I'll give you an example of what's
[33:41] happening in the markets right now. The
[33:43] trade has been for a very long time the
[33:45] Mag 7 trade and Mag 7,
[33:48] everyone crowded into that and everyone
[33:50] was looking at Mag7 as memory overtook
[33:52] it and absolutely shot up. And what
[33:54] people didn't understand is that if
[33:56] they're going to be building out $600
[33:57] billion of data centers, they're
[34:00] spending that money somewhere and that
[34:01] that money is going to memory and okay,
[34:05] so then they're also selling equity. So
[34:08] that's going to depress their prices and
[34:11] people are kind of nervous about the
[34:12] demand for that capex right now and now
[34:14] it's become a game of survival. These
[34:17] mag the uh the top tech companies are
[34:19] not building out data centers in order
[34:21] to get ahead. They're building them out
[34:23] in order to remain competitive with each
[34:25] other and so that then memory stocks are
[34:27] really taking off and okay now now that
[34:29] memory stocks are in a crazy crazy
[34:32] bubble you have to start to think to
[34:33] yourself well where are people not
[34:35] looking? Mhm.
[34:36] >> Like what are people not if they're so
[34:37] focused on memory? What are they not
[34:38] looking at? What's downstream for
[34:40] memory? The next trade is what is AI
[34:43] actually going to touch? What is AI
[34:46] going to change?
[34:47] >> Mhm.
[34:47] >> And the answer is well, you look at
[34:49] Accenture going down 30% in a day. It's
[34:51] changing that.
[34:53] >> It's changing biotech. Biotech's, you
[34:55] know, if you look at ARCG, which is
[34:57] Kathy Wood's uh, you know, advanced
[34:59] genomics fund. If you look at XBI, XBI
[35:02] is doing really well, but a lot of these
[35:03] things are starting to look really good
[35:05] and it's because they're genuinely going
[35:07] to benefit in a massive way from AI.
[35:10] So, you know, maybe short the
[35:12] consultant, buy Biotech. Defense is
[35:14] obviously, I think, going to be hu AI is
[35:17] hugely beneficial for defense companies
[35:19] right now as well because they're
[35:21] building, you know, smart forward
[35:22] deployed drones. Uh it's kind of
[35:25] interesting like the the the old world
[35:27] is dying and we're we're ushering in an
[35:29] era for the new world. And so now we've
[35:31] built the infrastructure with the with
[35:34] the hyperscalers. We've supplied the
[35:36] infrastructure with the Microns and
[35:38] SanDisks and Intels of the world. And
[35:41] now we're going to change the world. And
[35:43] so that's the next trade in my personal
[35:45] opinion and that's what people need to
[35:46] start looking at is is what's going to
[35:48] change. Today's episode is brought to
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[37:58] mentioned biotech, uh, the arc fund.
[38:01] What else goes in that bucket for you or
[38:03] like what are you allocating to or think
[38:05] are is most interesting?
[38:06] >> Um, it's really right now I'm focused on
[38:10] sort of two two main areas that are
[38:13] almost barbell approach. It's the what
[38:16] is AI going to affect and then betting
[38:19] on American uh isolationism
[38:22] >> as well because I think what's what's
[38:24] happening right now is I mean you saw
[38:25] with the Iran war, you saw with the
[38:28] Venez with what's happening in
[38:29] Venezuela. Who knows maybe we're going
[38:30] into Cuba next. All of this has nothing
[38:32] to do with those specific companies. It
[38:34] has everything to do with China
[38:35] specifically.
[38:36] >> And so the question is uh how are we
[38:39] going to how are we going to be battling
[38:42] with China, right? And that's why I'm
[38:44] still a huge believer in Intel. Intel is
[38:46] at 600 billion market cap. TSMC, which
[38:49] is based in Taiwan, is at a 3 trillion.
[38:51] They're going to close that gap because
[38:52] the U critical. Imagine being able to
[38:56] bet on the Manhattan project,
[38:59] right? If you could go invest in nuclear
[39:01] weapons back in 1944, you take that
[39:04] opportunity all day. And that's what
[39:05] chips are, right? And so obviously,
[39:07] we're going to need to get away from
[39:08] TSMC and we're going to need to get
[39:09] we're need to get get into Intel. So
[39:12] that's and then the rare rare earth
[39:14] minerals. Ramx us is a little bit shaky.
[39:18] I don't know if I would touch that one,
[39:19] but uh Ramx is is is the safer is a
[39:22] safer play that that I would touch. And
[39:24] then you have I'm investing in biotech
[39:27] and robotics. Uh I know you had Andrew
[39:29] Kang on here. Also interviewed him on on
[39:32] my pod. I think that he has
[39:35] I'm nervous about where the nav is on
[39:40] robo strategy, but I really like the
[39:43] idea and I think that there there's
[39:44] going to be a good way to get into that
[39:46] at some point.
[39:47] >> Let's talk about that because I I think
[39:48] that we talked earlier about hyperlquid
[39:51] giving people access, right? And now
[39:53] what I think we have seen is um there's
[39:55] this whole new crop of these investment
[39:58] uh kind of vehicles that are coming out.
[40:00] So you have uh Robin Hood has a publicly
[40:03] listed vehicle that gives you exposure
[40:05] to private uh venture capital.
[40:08] >> Fundrise has one that you know exploded
[40:11] when they took it public. Uh Angelist
[40:13] has one as well. Most of those are kind
[40:16] of general uh earlyish stage uh venture
[40:21] capital or late preipo growth type you
[40:24] know exposure. They're not thematic.
[40:27] They're not in any way, you know,
[40:29] different than uh investing in a venture
[40:31] fund that somebody says, "Hey, give me
[40:32] some money. I'm gonna go find some good
[40:34] deals." It's just that now there's a a
[40:36] public ticker that you can get in and
[40:37] out of them. What Andrew is doing is
[40:39] more thematic in that it is just
[40:41] physical AI and robotics. And what I as
[40:44] I looked at it and I uh am an investor
[40:47] uh in it still hold today. Um what I
[40:49] find interesting is on one hand there's
[40:52] an access component. So, a lot of people
[40:53] will become interested because they're
[40:55] saying, "Hey, I can't invest in these
[40:56] private robotics companies myself, so I
[40:58] can buy this ticker and get exposure. On
[41:00] the other hand, as you point out, is
[41:02] that it trades at a premium to NAV, at
[41:03] least at the stated NAV. Um, and at
[41:06] times it's been pretty substantial. It's
[41:07] traded at 500% the stated NAV. That
[41:10] scares people. But when you go and you
[41:12] look at the actual companies, private
[41:15] markets have this weird dynamic of, you
[41:17] know, you raise your seed round at $20
[41:20] million valuation, you raise your series
[41:21] A at 50, your series B is at 200, and
[41:25] you're about to go raise your series C
[41:27] and it's going to be at 2 billion, but
[41:29] everyone still references the 200
[41:31] number,
[41:32] >> right? And so in the stock market, like
[41:34] you go from 200 to two billion over
[41:36] time, and people kind of see where you
[41:38] are. Now, there's also companies who
[41:42] like we're going to be at 2 billion and
[41:43] they're actually at near zero and just
[41:45] don't know it yet, right? And so there
[41:46] there's like a lot of opakqueness and
[41:48] and you got to kind of underwrite this
[41:49] stuff, but usually when I see these
[41:52] publicly traded, closed end funds that
[41:54] have private market exposure and you
[41:57] start to look at them, the marks are
[41:59] off. Not because they're doing something
[42:01] wrong or auditors or whatever. It's just
[42:03] that like the way that you have to value
[42:05] these on a like a marktomarket basis is
[42:07] always at the last fundraising round.
[42:09] >> Mhm.
[42:10] >> And so these companies make progress,
[42:11] especially when you have so much capital
[42:12] available to you in the private market,
[42:13] you may not raise money for two years,
[42:15] three years. So if it's 18 months after
[42:17] you last raised money, if you end up
[42:19] raising more money, it's because you're
[42:20] doing well.
[42:21] >> 100%.
[42:22] >> Right? And so it's like this weird
[42:23] dynamic of just me as an investor just
[42:25] trying to figure out for myself like
[42:26] what is the actual premium to the nav of
[42:28] some of these things. It's not as clear
[42:30] as just like what's the state of NAV and
[42:31] and what is it currently trading at?
[42:33] Right.
[42:33] >> 100%. And there's actually there's a lot
[42:35] to unpack here. You hit on a lot of
[42:36] things that I've been thinking about for
[42:38] a long time. Number one, I'll start with
[42:40] the Nav. I'll answer that question.
[42:42] There is a difference between NAV
[42:44] expansion and just general NAV. Right?
[42:48] So, what do I mean by that? If I'm
[42:50] looking at investing in Robbo Strategy
[42:51] and they ra let's let's say at an
[42:53] aggregate they raise at a two billion
[42:54] valuation across all companies. Now,
[42:56] they're trading at a four billion.
[42:58] You're 100% right. That might actually
[43:00] just be the true price of those
[43:01] companies now because maybe that
[43:03] happened six months ago. But what makes
[43:05] me nervous about investing whenever you
[43:07] look at any of these companies? What
[43:08] makes me nervous is well the NAV just
[43:10] went from 200% to 500% in 2 days, right?
[43:14] Did the companies do that? Like did
[43:15] something happen? Is there a change? Why
[43:18] did it do that?
[43:19] >> That's when you get nervous about NAV.
[43:20] The actual absolute number
[43:23] >> almost irrelevant in terms of investing.
[43:25] It's possible that if this thing raised
[43:27] at, you know, 200 200 million and three
[43:30] days ago it came out that they just got
[43:32] a $2 billion order from the US
[43:33] Department of the Department of War.
[43:36] Sorry, Department of War. Now, uh it's
[43:38] possible that that NAV should be,
[43:40] >> you know, mispriced like,000%.
[43:43] >> Right? So, like I I'm actually 100% in
[43:46] agreement there. So, as an as an
[43:47] investor, as a trader, what you want to
[43:49] be looking at when I say I'm nervous
[43:50] about NAV is well, how quickly did that
[43:52] expand and does it deserve does it
[43:54] deserve that expansion? So in in such a
[43:56] short period of time with that being
[43:58] said I actually think robot strategy is
[43:59] a brilliant brilliant vehicle and not
[44:02] only just for the reason that I think
[44:04] Kang's a smart guy and robotics is the
[44:06] future. It's because of something that
[44:09] I've been thinking about for a long time
[44:10] which is that the forward return in
[44:14] index funds
[44:16] might be lower in the future because
[44:18] companies are staying private so much
[44:19] longer. Mhm.
[44:21] >> Venture funds have made so much money
[44:24] over the last 15 years and the private
[44:26] market has expanded so much. Private
[44:28] credit has expanded to insane heights
[44:31] that now companies can wait until
[44:33] they're 1.5 trillion to go public. And
[44:35] they're actually taking those returns
[44:38] from your average American.
[44:40] >> And I actually don't necessarily think
[44:41] that's fair. either you loosen
[44:45] government restrictions on private
[44:47] citizens investing below the accredited
[44:50] investor threshold or you force
[44:52] companies to go and list earlier and
[44:55] stop taking money at a certain point.
[44:57] Obviously, I'm in favor of the first
[44:59] one, not the second one. But something
[45:00] needs to change.
[45:01] >> You can't just have companies going
[45:03] public after the private after a small
[45:06] cabal of private investors aided by
[45:07] government regulation takes all the
[45:10] profits. That's one of the things that I
[45:12] found so beautiful about crypto, right,
[45:14] is that anybody could invest at any
[45:16] time. There wasn't some well some assets
[45:19] obviously there were there were some
[45:20] cabalas that you had to contend with,
[45:21] but mainly across the board it was if
[45:24] you got your money into the ICO, you got
[45:25] your money into the ICO. If you if you
[45:27] made a Telegram account, you DM the
[45:29] founder, he was probably going to take
[45:31] your 5K check. That's how crypto was in
[45:33] 2017 to 2022,
[45:35] >> right? If
[45:36] >> you could people were angeling $1,000,
[45:39] right? And that I think is actually very
[45:41] important and something that we're
[45:42] missing. So what Andrew has done, what
[45:45] Fundrise has done, what all these other
[45:46] companies have done now, I think is very
[45:49] important. Take these private companies,
[45:51] roll them up, allow private allow
[45:53] private citizens that may not meet the
[45:55] accredited investor thresholds, invest
[45:57] into these companies, and take part in
[45:58] the American future. I mean, I'm right
[46:01] now very constructive on the markets,
[46:03] and I'm exceptionally constructive on
[46:06] these robotics, defense companies.
[46:08] uh what's being built out in Silicon
[46:10] Valley right now. I mean, people should
[46:13] be able to put their money to work. And
[46:15] so, I'm very grateful for these, you
[46:17] know, these uh these assets popping up.
[46:20] The only thing that I would hope is that
[46:22] at some point this actually becomes
[46:24] commoditized. It's like the same thing
[46:25] with happen with ETFs, right? The the
[46:29] expense costs just have to come down
[46:31] down down down cuz right now people are
[46:33] making a lot of money at expense of the
[46:35] retail investor. That's also why retail
[46:37] investors are punting on the weather.
[46:40] >> It's also why people are punting on
[46:42] sports is because they feel that they
[46:43] have like they're they're getting the
[46:45] real return that they quote unquote
[46:47] deserve from that. Like there's no
[46:48] middleman uh taking that from you.
[46:50] You're just in theory on on Kali or in
[46:54] theory on Hyperlid you're just betting
[46:56] directly against somebody else that
[46:58] wants to take the other side. And so the
[47:00] cost of the middleman is sort of cut
[47:02] out. Whereas in these vehicles, the cost
[47:04] of middleman's and by the way,
[47:06] rightfully so if you know better than
[47:09] anybody how hard it is to take a company
[47:10] public and like it takes a lot of work.
[47:12] It's very difficult and so people that
[47:14] do it should be compensated for it. But
[47:16] over time hopefully those costs come
[47:17] down.
[47:18] >> You know what's interesting to me is um
[47:19] I spent a lot of time focused on what I
[47:21] call like the independent investor. So
[47:22] these people get all their information
[47:23] online. They want to manage their own
[47:25] money. They're chasing financial
[47:26] independence whatever. And we've got
[47:28] this AI CFO product called Sylvia. And
[47:31] so uh people come in and they are owing
[47:33] read access for the product into their
[47:36] accounts and then they can talk to an
[47:38] LLM and they're getting all the context
[47:39] of their financial situation fed to the
[47:41] LLM and as you would imagine all the
[47:43] personal information is you know
[47:45] encrypted and secure and private etc.
[47:47] But what we can see is we can see kind
[47:49] of across the user base these different
[47:52] trends. And one of the things that we
[47:54] found very interesting is if you use
[47:55] Sylvia regularly or heavily your net
[47:58] worth has grown 16 to 40% in the last 6
[48:00] months. Now the reason why that's
[48:02] interesting is because
[48:03] >> in the last 6 months
[48:05] >> the last 6 months that that's pretty
[48:06] good
[48:07] >> to 40%. Now here here's what immediately
[48:09] when I hear that from somebody on our
[48:11] team I say well is that because only
[48:12] like rich people or you know whatever
[48:14] right
[48:15] >> across all income levels and across all
[48:18] starting net worth positions true 16 to
[48:20] 40%. Okay. So you start digging deeper
[48:23] and deeper and deeper into this. And my
[48:25] biggest takeaway is actually that there
[48:28] are three things that you can look at.
[48:30] The first is AI in this applied sense in
[48:34] education. If you want a child to learn,
[48:36] what happens? Give them oneonone private
[48:38] tutor. Healthcare, if you want somebody
[48:40] to be healthy, what do you do? Private
[48:41] one-on-one healthcare, you know, and
[48:42] insights, right? Finance, same thing. So
[48:45] having personalized insights on a
[48:46] one-on-one basis, of course, you should
[48:48] be able to grow your assets faster than
[48:50] somebody who doesn't use that type of
[48:51] thing. No different. You should learn
[48:52] better, etc. Okay? So there's something
[48:54] about using a AI based tool that gives
[48:57] you one-on-one personalized insights
[48:58] that definitely has an impact.
[49:00] >> The second thing is that you're paying
[49:02] attention. If you use these types of
[49:04] products, you care, you're measuring,
[49:05] you're you're you're inclined to be
[49:08] involved.
[49:09] >> You probably should grow faster than
[49:10] somebody who isn't, who's just kind of
[49:11] passively living their life, not paying
[49:13] attention, right? So those two things I
[49:14] think are like pretty common sense.
[49:16] >> The third thing though is how fast
[49:19] people's net worth grows regardless
[49:21] whether you use a product or not. Like
[49:22] the volatility
[49:24] >> of the things that people are holding
[49:26] now is so much greater than ever before.
[49:28] >> So people know about the Bitcoin stuff
[49:30] and you all like the things that have
[49:31] been popular over the last 5 years.
[49:34] >> But now we're talking about memory
[49:36] stocks are
[49:38] >> up 20% today.
[49:40] >> It's crazy. Micron was up 10% just off
[49:42] of an earnings, you know, call, right?
[49:44] >> So, okay, that's memory that that's a
[49:46] really hot sector.
[49:47] >> Like, no, man. If you go look at some
[49:50] like pretty basic stocks, I mean, one of
[49:51] the jokes right now is that Grinder, you
[49:53] know, the gay app is outperforming a lot
[49:55] of crypto coins over the last, you know,
[49:57] year.
[49:57] >> Yeah.
[49:57] >> And so, you go and you say to yourself,
[49:58] wait a second here, if capital and
[50:02] information now move at the speed of
[50:03] light, everything becomes more volatile.
[50:07] And so if you position yourself well,
[50:08] obviously that means you can
[50:09] significantly grow your net worth. But
[50:11] if you position yourself incorrectly, if
[50:13] you're betting on the weather, if you're
[50:14] doing some of these things and you're
[50:15] wrong, you can destroy your net worth
[50:18] overnight. And it almost feels again
[50:20] like that K-shaped economy is in
[50:21] economic outcomes, but also in the
[50:23] performance in the market. There seems
[50:24] to be this like bifurcation into like
[50:26] the winners and losers as well, right?
[50:28] >> I think in a huge way. And what's kind
[50:30] of interesting is that this is I think
[50:32] this is actually a function of AI in
[50:34] some ways
[50:35] >> and and also a function of just retail
[50:37] entering the market in in droves. If you
[50:39] go back 15 years and there's a new trend
[50:43] that comes out.
[50:44] >> Your average person cannot become an
[50:46] expert on that new trend in 3 days.
[50:49] >> Mhm.
[50:50] >> A little bit of knowledge is very
[50:52] >> tell the people on Twitter that
[50:54] >> they only need about an hour.
[50:57] It's like any anytime anything goes down
[50:59] it's like wow you're a geopolitical
[51:01] expert now wow you're a vi you remember
[51:03] when everyone became a veriologist
[51:05] >> in 2020
[51:05] >> I was right there with them I said ah
[51:07] let me do the math here
[51:08] >> but you know the kind of kind of the
[51:11] joke is that now it's kind of becoming
[51:14] possible
[51:15] >> with AI
[51:16] >> it's kind of it's actually genuinely
[51:17] possible to become an expert now and by
[51:19] using by using AI if you spend a week
[51:23] researching a topic with AI I you can
[51:26] get I mean obviously you're not going to
[51:27] become an expert but you can get up to
[51:29] speed on things and you can find things
[51:32] genuinely you probably were too lazy to
[51:33] find before. So you so for example like
[51:35] the Korean stock market just to hop in
[51:37] there for a second. I guarantee you that
[51:39] the only reason that SKH highinex went
[51:42] up as much as it did is because people
[51:44] were able to find it
[51:46] >> and people were able to bet on it.
[51:48] >> And maybe it would have gone up that
[51:50] much because there would have been some
[51:52] hedge funds that would have absolutely
[51:53] piled into it, but it would have been
[51:55] only the hedge funds that would have
[51:56] done it. But now you go into Claude and
[51:59] you type in what are the biggest
[52:00] beneficiaries from the AI trade and all
[52:03] these companies populate and your
[52:05] average person can do it in 3 seconds
[52:07] and then they do literally zero
[52:09] research. I've seen this happen many
[52:11] times cuz I host I host a a live stream
[52:14] twice a week just on the financial
[52:15] markets and we get all these comments
[52:17] from people that are like, "Yeah, I put
[52:18] my half my net worth into this thing
[52:20] because I found it. Uh Claude told me to
[52:22] buy it. What do you guys think about
[52:23] it?" I'm just like, well,
[52:25] >> you kind of already bought it, dude.
[52:26] >> Yeah, you kind of like you're you're in
[52:28] it, man. Ride it out.
[52:29] >> So did Stanley Duck Miller like enjoy
[52:30] it.
[52:30] >> And and Duck, I mean, I don't know if
[52:32] you know the story, but uh he heard a
[52:34] speech from Javier Malay. And then uh
[52:36] when he heard the speech, he basically
[52:37] was like, "I like this guy. I like his
[52:38] policies." He went on, he said,
[52:40] "Perplexity." And he just said, "What
[52:41] are the five most liquid Argentinian
[52:44] ADRs?" And he bought them. And that was
[52:46] like his due diligence. And then he's
[52:47] like, "And then I was spend some more
[52:48] time looking at it, but it was like an
[52:50] invest than than research." And so in a
[52:53] weird way what you're talking about so
[52:54] everyone can become an expert. My like
[52:55] framework for this is everything in our
[52:58] lives is becoming compressed time frames
[53:00] 100%.
[53:00] >> Right. Well now if you wanted to be a
[53:03] viologist as you know just the extreme
[53:05] example you had to one be interested in
[53:07] it then you had to go figure out like
[53:08] what school can you go to and you had to
[53:10] go sit in a bunch of classes take a
[53:11] bunch of tests do all the like whatever
[53:13] maybe that took 10 years right maybe it
[53:15] took six years whatever it was years of
[53:17] work to become a viologist.
[53:20] Could you get 70% of that knowledge
[53:24] in an hour of Googling AI models now? I
[53:29] don't know. Could you get 30% of it in
[53:30] an hour? Like like like you've
[53:32] compressed the time frame to get some
[53:34] material amount of that information. And
[53:36] then the beauty is that you don't have
[53:37] to know everything about viology.
[53:39] >> You just need to know specific for this,
[53:41] >> right? And so whether that's finance,
[53:43] that's, you know, uh social stuff,
[53:44] whatever. I do think that there's this
[53:46] weird element of like the me the the
[53:48] meme has truth to it and that you can
[53:51] very quickly get up to speed on things
[53:52] and then have an opinion about it.
[53:53] >> No, it does. I mean, I love the drunken
[53:55] Miller quote. I I'm a big big fan of I'm
[53:58] a big fan of studying the greats
[54:00] >> and making sure you understand how they
[54:01] make their decisions. And what he says
[54:03] specifically is anytime he hears a good
[54:05] idea, he buys a little bit of it because
[54:06] it actually forces him to investigate it
[54:08] and pay attention a little bit more. But
[54:10] once you put a little bit of skin in the
[54:12] game, I mean, the whole world opens up
[54:13] to you. And that's what's happening now
[54:16] with AI. I mean, people are putting a
[54:17] little bit more than skin in the game.
[54:18] They're full, you know, full porting
[54:20] things sometimes. And but that's we're
[54:23] opening up the markets to retail in a
[54:24] way that have never been opened up
[54:26] before because again, a little bit of
[54:27] knowledge is very dangerous. And people
[54:28] are willing to throw money at these
[54:30] things. And if you take a if you take a
[54:33] step back, it's a combination of that
[54:36] and then everything that we talked about
[54:37] at the beginning where people are more
[54:39] likely to be traders today because they
[54:41] want to escape the rat race. They want
[54:43] to escape the underclass. And so
[54:45] >> taking it full circle to the volatility
[54:47] point, that's why you're seeing all
[54:49] this. That's why
[54:51] >> Jane Street is cleaning up. That's why
[54:53] these market making firms are making a
[54:54] ton of money is because a when there's
[54:57] volatility on the market, market makers
[55:00] tend to make money as long as it's not
[55:01] trending volatility like unidirectional
[55:03] volatility.
[55:05] >> And two, uh you have more retail that
[55:07] are just willing to cross spreads and
[55:08] pay whatever the heck they want to to
[55:10] get into assets. I mean, you're
[55:11] obviously going to clean up.
[55:13] >> And so that's the shifting nature of the
[55:16] markets today. Before what you had is
[55:18] you had really low volatility on the way
[55:21] up.
[55:23] Generally you just have like a step step
[55:24] step step step step step step step step
[55:26] step step step step step in S&P and
[55:27] NASDAQ and super high volatility on the
[55:29] way down.
[55:29] >> Now you have it in both directions.
[55:31] >> What happens when volatility goes
[55:33] through the roof? Your cash actually
[55:35] becomes more valuable
[55:37] >> and looking for opportunities becomes
[55:39] more valuable. So, the way that I tend
[55:41] to approach the markets now is I have
[55:43] these I have these mega trends that I
[55:46] want to allocate to. And anytime we get
[55:49] extreme volatility to the downside, I'm
[55:52] buying them. I'm buying and I'm I'm
[55:55] getting in. And if we have incredible
[55:57] insane volatility to the upside, we'll
[56:00] sell a little bit, right? We'll take
[56:01] advantage of we'll take advantage of
[56:02] that. Maybe you sell some calls against
[56:04] your position or something like that to
[56:05] sort of dampen dampen the V because when
[56:09] V is this high you get presented with
[56:11] opportunities basically every 3 months
[56:13] where things collapse 30%.
[56:16] >> And you want to be in a position to get
[56:17] back in. If V is 5% I mean just
[56:21] mathematics
[56:23] if V is 5% the price and and and you go
[56:27] up 5% the likelihood that you see the
[56:30] price 5% ago is much lower than if V is
[56:33] 100% and the price goes up 5%. So then
[56:35] the question is if V is much higher it's
[56:38] actually better to sell.
[56:40] >> That's just general. It's better to sell
[56:42] because the probability that you're
[56:43] going to get that entry price again is
[56:45] much higher when V when V is high. This
[56:47] is this is my old school trading coming
[56:49] back to
[56:49] >> when you think of these mega trends. Is
[56:50] this just as simple as like physical a
[56:52] robotics, defense tech, bio uh biotech?
[56:55] Is that like the mega trends you're
[56:56] talking about or there a different way
[56:57] to think about it?
[56:58] >> That's it. I mean the only thing that I
[57:00] think I haven't hit on is energy and
[57:02] specifically I'm a big uranium bull.
[57:04] Okay.
[57:04] >> I think that well right now you see the
[57:06] Trump administration is actively
[57:07] encouraging innovation and startups
[57:09] within the nuclear sector. And what
[57:12] we're seeing right now is we're also
[57:14] seeing that oil is very fickle. It can
[57:17] be cut off from you at any moment. And
[57:20] having nuclear reactors is actually a
[57:22] way to ensure national security. That's
[57:24] why France is building more. That's why
[57:25] Germany's building more. That's why the
[57:27] US is finally looking at at throwing
[57:28] these up. And at some point, I think
[57:30] what's going to happen is that the
[57:32] reason that we haven't had any nuclear
[57:34] reactors put up in a long time is just
[57:35] safety issues. And I think people are
[57:37] going to get over that and the
[57:39] government's pushing it. And that
[57:41] doesn't necessarily mean the price of
[57:42] uranium is going to go up. This is very
[57:44] important when you invest in
[57:44] commodities. The price of uranium could
[57:46] go down because if demand for uranium
[57:49] goes up, we could over supply, but
[57:51] what's going to happen is that uranium
[57:52] miners are going to make way more money
[57:53] than they were making in the past. Cuz
[57:54] if they're selling 10x and price is down
[57:56] 50%, they're still 5x up on their
[57:59] revenue. And so I I hold uranium miners
[58:02] as well. So en like infrastructure
[58:05] as as it relates to energy. That's why
[58:07] obviously Ashen Brener bought Bloom
[58:10] Energy. He's he's very he's very bullish
[58:12] on that. I'm I'm bullish on it as well.
[58:14] But uranium I think is overlooked and
[58:16] then everything else that we've talked
[58:18] about so far. What about SpaceX? I think
[58:21] that
[58:23] SpaceX is interesting. And I'll say
[58:26] this, SpaceX at the at the 1.8 8
[58:31] trillion. I think it was trading at 94x.
[58:33] It was making 18 billion. So if it's
[58:35] trading at 1.8 trillion, it's 100x price
[58:37] to sales. Nvidia,
[58:40] >> is that high?
[58:41] >> It's reasonably high. But Nvidia in 2023
[58:45] was trading at 45x price to sales
[58:48] and the maximum draw down that it ever
[58:50] had from that moment that it hit 45x
[58:52] price to sales was 10%. And now it's
[58:54] trading at 22 and it just grew into its
[58:57] valuation massively. And so I think
[58:59] what's probably going to happen with
[59:01] SpaceX is that it will actually it's
[59:04] quite literally the only viable space
[59:05] company that exists on the planet.
[59:08] >> Space will be valuable. They will
[59:10] extract that value. And they have so
[59:13] much goodwill because of the way that
[59:14] Elon's been able to keep Tesla, which is
[59:16] a much much much weaker company at its
[59:18] core. I mean EVs are not a worldchanging
[59:21] technology when you compare it to SpaceX
[59:23] in the same way. They are, but like
[59:25] autonomous vehicles,
[59:26] >> there's a lot more competition and
[59:28] >> it's just not the same. So, I think
[59:30] SpaceX can actually maintain its
[59:32] valuation and probably become one of the
[59:33] most valuable companies in the world in
[59:35] 25 years. Now, the question is, are
[59:37] there better things to own over those
[59:39] next 25 years? Will there be a lot of
[59:40] volatility? But I'm a buyer of SpaceX
[59:42] under a trillion for sure, 100%. And
[59:45] people just need to realize that because
[59:46] of what happened with AI and because of
[59:49] the time compression that you just
[59:50] alluded to, people have a lot more
[59:52] leniency for companies that are trading
[59:54] at massive
[59:56] >> ratios because it's like, well, they
[59:58] might get there in 3 years instead of
[60:00] getting there in 15, 20 years. If Nvidia
[60:04] was able to close that gap in just two,
[60:06] I mean, who knows? Maybe SpaceX will be
[60:08] able to do it, too.
[60:09] >> There's this interesting idea of like
[60:10] chasing momentum, right? And um I think
[60:13] that that's part of why Bitcoin has been
[60:14] suffering is like capital just chases
[60:16] returns and that's a human nature, you
[60:18] know, kind of fallacy of of investing.
[60:21] But I also think though that what a lot
[60:24] of investors have learned is maybe you
[60:26] don't always have to be contrarian,
[60:27] right? You know, there's this whole
[60:29] belief that like you got to be the one
[60:31] to find the thing that nobody else
[60:32] invests in. If you go to the private
[60:34] market, maybe where people have less
[60:36] knowledge, right? is well I could go
[60:39] find the company no one else has found
[60:40] yet and be the first person to believe
[60:41] and all or like I don't know Sequoia
[60:44] Andrees and Benchmark are all investing
[60:46] in this thing uh probably got pretty
[60:49] good odds they got a lot more capital to
[60:51] keep investing in it they got a lot of
[60:52] you know a good network of people they
[60:54] can help recruit like there's all these
[60:55] things that increase the probability of
[60:56] success so like do you want to be the
[60:58] hero or do you want to make money
[61:00] >> SpaceX is a great example like how many
[61:02] venture funds would have been better off
[61:03] not investing in 20 different companies
[61:04] and just put all their money in SpaceX
[61:06] >> 100% Now, in hindsight, it's obvious,
[61:07] right? And it might not have been then,
[61:09] but SpaceX had a 30 or $50 billion
[61:11] valuation. There weren't a lot of people
[61:12] yelling and screaming saying it's
[61:13] overvalued, right? So, it was more of
[61:15] just like, do you think you can go to
[61:17] LPS and be like, hey, you're basically
[61:19] going to pay me to just buy this one
[61:21] company and you don't go look to see how
[61:23] you could do it yourself, right? I think
[61:24] there's a lot of people doing that.
[61:26] Public market, same thing. Like, why is
[61:28] the memory stocks all going up? Like,
[61:29] part of it is, yeah, the companies are
[61:30] doing incredible, but also part of it is
[61:32] just like, I don't know, man.
[61:34] I buy and it goes up 10%. Like, who
[61:36] cares if it's overvalued or not? Like, I
[61:38] made 10%.
[61:39] >> There's It's funny.
[61:41] I'll take you back to to 2021 for a
[61:44] second when every single person in the
[61:46] entire world in crypto specifically was
[61:49] telling me crypto is overvalued and I
[61:53] need to be contrarian and I need to go
[61:54] short it. And these were all people that
[61:57] were in the industry. I mean, they're
[61:58] like all deep in the industry. And I'm
[61:59] looking around going, do you not realize
[62:01] what's happening here? Everyone in the
[62:03] industry is bullish, but that's not a
[62:05] bad thing because all of the capital
[62:07] that's coming in is coming from outside
[62:08] the industry. And actually, we're just a
[62:10] tiny little piece of this entire thing.
[62:12] And yes, we might be all 100% 150 300%
[62:16] allocated to this thing, but 99.9% of
[62:19] the world, zero. They haven't touched
[62:21] it. They haven't touched it at all.
[62:22] >> They're intellectually short,
[62:24] >> right? They're intellectually short. So,
[62:25] like, you're not you're not being smart
[62:27] and contrarian. You're just being dumb.
[62:29] M
[62:29] >> you can't you have to figure out you
[62:30] have to basically realize like when
[62:32] you're being contrarian who are you
[62:33] betting against are you act are you
[62:34] actually betting against the herd or who
[62:36] are you betting against
[62:37] >> when you're betting against memory right
[62:39] now you're betting against the continued
[62:42] growth of AI like are you betting who
[62:46] cares how many people are in it you're
[62:47] betting against the continued growth of
[62:49] AI now some things to look out for if I
[62:53] watch the leverage ratios in Korea a lot
[62:55] because they've 3x since since the start
[62:57] of the year look if we get up to If I if
[62:59] we get up to like $50 billion pumping
[63:00] skinex, I'm going to be a little bit
[63:02] nervous if I start seeing
[63:04] >> nervous around that one stock or nervous
[63:06] around the overall AI trade.
[63:07] >> Nervous around the overall because it's
[63:08] a it's a symptom. It's like you you
[63:10] build when you're when you're looking
[63:11] for
[63:11] >> too much interest, too much enthusiasm.
[63:13] >> When you look when you look for the top
[63:14] of a bubble, you have to build a you
[63:16] have to build a picture. You can't just,
[63:18] you know, there's no one magic silver
[63:19] bullet. If a taxi driver starts talking
[63:21] to me about Intel, I'm probably selling
[63:23] out. If I, you know, if I meet somebody
[63:26] that's never traded, like every single
[63:28] person starts around me starts trading
[63:31] stocks. If all my doctor friends start
[63:32] trading stocks, if if it feels like 2021
[63:35] crypto again, which it doesn't because
[63:37] there's actual real
[63:38] >> Mhm.
[63:39] >> value being created here so far. Yeah. I
[63:43] mean, you can you can sort of look for
[63:44] these things, but right now I'm
[63:46] personally not seeing them. Now, if
[63:48] inflation comes roaring back, maybe I
[63:50] get a little bit nervous, but that seems
[63:52] to be tapered because of the war with
[63:55] Iran coming to a close. So, right now,
[63:57] I'm kind of just seeing green lights.
[64:00] But again, I'm not focused on memory
[64:02] specifically now because I think that
[64:05] we're probably in the last eight, maybe
[64:07] the eighth inning. And don't get me
[64:09] wrong, the eighth and ninth inning can
[64:10] be awesome.
[64:11] >> They can be awesome. I mean, you can
[64:13] score 10 runs in in the top of the
[64:14] ninth, right? Like, this happens. But
[64:16] I'm focused on what AI is actually going
[64:18] to change now.
[64:19] >> Right.
[64:19] >> You want to hear a crazy story about the
[64:21] top of the crypto market?
[64:22] >> Please.
[64:22] >> So um my wife and I uh went to dinner
[64:26] with a uh a very well-known uh investor.
[64:29] Um he's probably worth I don't know five
[64:32] six billion dollars at the time. And uh
[64:34] we're sitting at dinner uh down in uh
[64:37] downtown Manhattan. And uh at some point
[64:40] he who was not in the crypto industry
[64:42] but had told me he owned crypto pulls
[64:44] out his phone and he tells me, you know,
[64:47] look look what I own. And he's holding
[64:49] it there for like a little bit longer
[64:50] than it's like normal.
[64:52] >> Yeah.
[64:52] >> And I realized that he wants me to look
[64:55] at how much he owns, not just what he
[64:57] owns, right? And he had I don't know,
[64:58] maybe five, six different names,
[64:59] whatever. And I look and I have to do a
[65:01] double take because he has a billion
[65:03] dollars like$1.1 billion or whatever on
[65:07] his phone. And naturally I like can't
[65:11] help myself. I'm like you're not like a
[65:14] crypto person. I don't think you knew
[65:15] the word crypto 6 months ago. Like what
[65:19] the hell? And so he tells me a story as
[65:21] he was at dinner a couple of weeks
[65:22] before. Um, and remember this is in uh
[65:26] I'm I'm sorry. Uh, yeah, this is in like
[65:28] Decemberish time frame. He tells me that
[65:32] basically he had been at a dinner and
[65:33] somebody had told him they thought that
[65:35] crypto was going to do really well and
[65:37] he had put $200 million and it had 5xed
[65:41] and I don't remember what he had in it
[65:42] all whatever. So, first of all, like
[65:43] you'd be pretty rich to like off a
[65:45] dinner conversation go put $200 million
[65:47] in, you know, crypto. But two,
[65:49] he was very proud of himself and so like
[65:52] I would have been too if I was him. So I
[65:53] kind of like memory hole that and we
[65:55] have a great conversation like
[65:57] incredible human all this stuff. So it
[65:58] was like a little out of character for
[66:00] this one five minute part of the
[66:02] conversation but great. We leave the
[66:05] dinner and an Uber picks us up and we
[66:07] get in and he drives to the stop sign
[66:10] and you know how they have like the
[66:12] phone uh kind of in like a phone holder
[66:14] sitting there. He flips from the Uber
[66:16] app to Robin Hood and I can't help
[66:19] myself. I say, "Uh, oh, you you you into
[66:22] investing, not trading." I say, "You
[66:23] into investing?" He goes, "Yeah." I go,
[66:24] "What are you looking at?" He goes,
[66:25] "Dogecoin." And I should have
[66:27] immediately got on my computer and sold
[66:30] everything, right?
[66:32] But like I think back and it's like uh
[66:33] like I'm mentally scarred cuz I'm just
[66:35] like it wasn't just like one it was like
[66:37] the sequence of like dude everywhere I'm
[66:39] looking rich people Uber drivers
[66:42] everyone is excited
[66:45] >> there can't be much juice left.
[66:47] >> Yeah.
[66:48] >> And at some point not now but at some
[66:50] point the AI trade will be the same
[66:52] thing. Probably far you know far away
[66:55] but like we will get back to that kind
[66:56] of craziness in that industry as well.
[66:59] >> Keep your eyes open. I mean, this is one
[67:00] thing that I'll say is if you look
[67:02] around at the world, you'll find
[67:04] opportunity and you'll find information.
[67:06] Talk to your Uber driver, talk to the
[67:08] person checking you out, talk to the
[67:09] barista, talk to everybody, ask them
[67:11] what they're thinking.
[67:12] >> Well, you ask them about uh you know,
[67:13] Micron.
[67:14] >> Yeah. You know, no, straight up, ask
[67:17] your like when next time you go get a
[67:18] coffee, go, "Dear Bista,
[67:21] this is the most antisocial advice I
[67:22] could possibly give you, but go up to
[67:24] them and say, hey, have you heard of
[67:26] Micron?" "No." "What about Sandas?
[67:30] You ever looked at the uh you ever
[67:33] looked at the inflation rate in Korea?
[67:35] >> No, seriously. Seriously. Like the most
[67:37] blue-haired, bull ringed weight like
[67:39] person you can find. Like if they're
[67:41] talking about it, like it's probably
[67:44] you're probably close to the end.
[67:45] >> Is there anything that people are
[67:46] excited about right now that you think
[67:48] is actually like there should be a
[67:50] warning issue to investors?
[67:53] >> Um
[67:54] a warning issue to investors. Uh, not
[67:57] really a warning issue, but what I'll
[68:00] say is that stable coins are going to
[68:02] eat the world, but that does not mean
[68:04] Coinbase and Circle are going to do
[68:05] well. Um, that's that's my general take
[68:08] on these things. I actually think that
[68:09] Circle could be in a in some trouble.
[68:12] Uh,
[68:13] >> why?
[68:13] >> Because
[68:15] basically
[68:17] the banks are fighting so hard against
[68:19] this to buy themselves time to issue
[68:21] their own versions of stable cos.
[68:23] >> Yeah. And so it's possible that and
[68:26] additionally Tether's kind of winning.
[68:28] Tether is doing an incredible job and
[68:30] you can't invest in Tether
[68:31] unfortunately. I mean you can try maybe
[68:33] ping Paulo ask him to put like five
[68:35] bucks in he's going to say no but te
[68:37] Tether's actually winning AC across the
[68:39] board. And so it's like people are
[68:42] really excited about this stable coin
[68:43] thing but where are you gonna where you
[68:45] going to put I can't put my money to
[68:46] work in anything that I actually think
[68:47] is going to be valuable here. Mhm.
[68:50] >> Um everything else that people are I
[68:53] mean if you're talking about AI, if
[68:56] you're talking about biotech, if you're
[68:58] talking about defense, I mean
[69:00] like what what do you see that people
[69:02] are excited about? I'm curious like this
[69:03] is this is goes back to our point about
[69:05] being conturan. It almost feels like
[69:08] there aren't that many places to be
[69:10] contrarian. The hardest thing to do is
[69:11] just to stick with it. I I have a a very
[69:14] uh hot take on this which is um
[69:18] >> X it's kind of like the global chat room
[69:20] >> and now there are so many people paying
[69:24] so much attention and are so smart and
[69:26] have access to so much information that
[69:29] the herd is actually more right than not
[69:31] in the public market.
[69:32] >> Mhm. In the private market, there will
[69:34] still be a lot of things, you know,
[69:35] there's certain new industries or
[69:36] applications of technology. You know,
[69:38] there's a little bit more bifurcation
[69:40] there. But in the public market, think
[69:43] about all the names that people got
[69:46] excited about over the last, I don't
[69:48] know, a year or two that we could think
[69:49] of. They were right on majority of them,
[69:53] right? Definitely more than 50%, but
[69:54] like maybe even like 90 plus%.
[69:57] So actually it becomes less of a like
[70:00] you need to think for yourself and like
[70:02] go find some idea that no one's ever
[70:04] thought of before. You still need to be
[70:05] a critical thinker. You still need to
[70:06] like doublech checkck the analysis and
[70:08] all that kind of stuff. But it becomes
[70:11] more of a game of am I online enough and
[70:15] know who to follow and what information
[70:17] sources to pay attention to to see these
[70:19] narratives as they start to bubble up
[70:22] and then get ahead of or as I like to
[70:24] joke just get in the way of the
[70:25] narrative and you will benefit and so
[70:29] crypto people are excellent at this.
[70:32] >> It's true.
[70:33] >> And they're very well positioned for the
[70:34] public market. Now, we'd always joke
[70:36] we'd want the crypto markets to become
[70:38] more like the equity markets, and the
[70:39] equity markets have just become the
[70:40] crypto markets. And it's hilarious to
[70:43] see, but it's also true. It's the people
[70:44] that are terminally online. You see the
[70:46] headline for H for peptides potentially
[70:48] being approved by the FDA and PIMs goes
[70:51] up 25%.
[70:52] >> Dude, Wendy's
[70:52] >> and Wendy's. I mean, the Yeah, the
[70:54] Wendy's stock.
[70:55] >> Did you look and see what the what like
[70:57] the initial catalyst for this was?
[70:58] >> I don't know. I just thought it was a
[71:00] meme. It's just like everyone just
[71:01] decided.
[71:01] >> So, basically, they're they've got like
[71:03] some debt. So, I don't know all the
[71:04] details of like the actual
[71:05] >> heavily shorted. I know that, but
[71:07] >> but somebody on I think it was on Reddit
[71:09] was like, you know, the meme of like,
[71:11] well, if we suck at trading, we'll just
[71:12] go back to our jobs at Wendy's. Well,
[71:13] like if Wendy's in trouble, we're not
[71:14] going to have jobs there either.
[71:16] >> And so, somebody basically was like, we
[71:17] got to save we got to save Wendy's.
[71:19] >> That's incredible.
[71:20] >> And bam, there you go.
[71:22] >> Yeah.
[71:23] >> And so, like, you think about like
[71:25] imagine being Nelson Peltz.
[71:28] >> Yeah.
[71:28] >> Sitting there. I think it was like 20%
[71:29] of Wendy's, right? like incredible guy,
[71:32] great track record investing, all this
[71:33] stuff. And somebody coming to you and
[71:35] being like, "Hey, you know that company
[71:37] that we own, it's up 30% today." Why?
[71:41] Cuz some idiots on the internet want to
[71:43] make sure that they have a potential
[71:45] job.
[71:45] >> Yeah.
[71:46] >> You know, like like he couldn't
[71:47] comprehend it.
[71:48] >> Yeah.
[71:48] >> He probably would like to say thank you,
[71:51] >> but like that is the market. But like
[71:53] once you understand the meme and you
[71:54] understand what happened, you're like,
[71:55] "Dude, of course." Like duh, of course
[71:57] they were going to do that.
[71:58] >> Yeah. And you know, you know what it is
[71:59] almost? It's a it's a shared of self uh
[72:02] shared identity is what I'll say. That's
[72:05] what people really seem to crave. And
[72:06] this is what happened with GameStop. It
[72:08] seems to be happening with Wendy's.
[72:09] Whenever you get a meme stock that runs,
[72:10] it's because people, it's so much more
[72:12] fun to make money together. That's
[72:13] actually what kind of held
[72:15] >> crypto together in a big way is you were
[72:18] part of this entire ecosystem. And when
[72:20] crypto was going up, you were making
[72:22] money with your friends. You were having
[72:23] you had inside jokes, you were laughing,
[72:25] you were really you were like genuinely
[72:26] enjoying yourself. And I think that's
[72:28] coming to the equity markets as well. I
[72:30] mean there there cults around every
[72:32] single major asset now. There Sandis
[72:34] there's a Sandis cult. There's an INTC.
[72:36] If I if I if you tweet the ticker INTC I
[72:38] mean like you get insane engagement.
[72:40] It's the same thing with Hyperlquid,
[72:41] right? The Hyperlquid cult. And
[72:43] >> what started off in crypto is now
[72:46] everywhere in equities,
[72:47] >> of course.
[72:48] >> And the traditional guys can't wrap
[72:50] their heads around it.
[72:51] >> They can't wrap their heads around it.
[72:52] It's kind of it's kind of it's
[72:53] incredible for people like you and me,
[72:54] but like if I have one piece of advice
[72:56] to anyone that's coming from the
[72:58] traditional world and trying to trade
[72:59] these crazy markets is deprogram
[73:01] yourself
[73:02] >> and just realize that it doesn't matter.
[73:06] >> Like like a lot of these things that you
[73:07] think about, they don't matter.
[73:10] But you still have to be careful because
[73:12] at some point when things get
[73:14] overexuberant,
[73:16] the market will fall apart and you just
[73:18] have to make sure that you've taken
[73:19] enough profit by then to get to get
[73:21] 100%, right? So, like if you're if
[73:22] you're in Wendy's right now, you
[73:23] probably want to get out.
[73:25] >> Tell us about uh your podcast real quick
[73:27] before I let you go.
[73:28] >> Yeah. No, I I I appreciate that. So, I
[73:31] started actually I started this podcast
[73:33] four years ago with my friend Jonah
[73:34] Vanberg who was the head of who was oil
[73:36] trading at Goldman and then a partner at
[73:38] Val. I was a big crypto trader and then
[73:41] I then I was at Golden Train. We
[73:42] actually just recorded we recorded a
[73:45] call and put it online four years ago.
[73:47] Sort of blew up and today we live stream
[73:50] twice a week. Mhm.
[73:51] >> Wednesdays at 1:00 p.m., Fridays at 1:00
[73:53] p.m., and I just talk about my take on
[73:55] the markets. We get Jonah's take on the
[73:57] market, and we talk to really
[73:58] interesting guests, and hopefully you'll
[74:00] come on one day as well. I think it' be
[74:01] a lot.
[74:01] >> It's called Thousandx.
[74:02] >> It's called the ThousandX podcast.
[74:04] Thousand X.
[74:05] >> What we're trying to do is at some point
[74:07] compete with CNBC cuz I think there's
[74:08] actually a big gap in the market between
[74:10] influencers and traditional media
[74:13] >> 100%.
[74:13] >> And I think we can deliver something in
[74:15] the middle. The number one thing that
[74:16] you got to know about it is it's
[74:18] practitioners talking about the market.
[74:19] It's two people that have managed over a
[74:21] billion dollars actually telling you
[74:23] what goes on inside the markets, how a
[74:25] real hedge fund trader would think about
[74:27] it, and talking to you every two days.
[74:28] >> Yeah, it's valuable, right?
[74:29] >> Yeah.
[74:30] >> Amazing. Well, thank you so much for
[74:31] coming to do this. We'll do it again in
[74:32] the future.
[74:32] >> I appreciate it. Thank you.