I made 10 million in one day trading
Amazon options on the on earnings and
everyone called me a degenerate because
it was a lever trade where I would have
lost a few million if it didn't go my
way. You know what people don't see is
the, you know, 100 plus hours of deep,
deep research that went into that trade
across every single data point that was
available on Amazon and cloud computing
and compute prices that quarter and even
like deeply assessing what the
management team was likely to say on
that earnings call based on what
Microsoft said 3 days earlier, right?
And so like
>> you I think are known for one thing but
I know you for a completely different
thing. Uh most people know you for the
idea of kind of social arbitrage
investing really understanding what's
happening in the world in reality buying
those stocks before kind of Wall Street
figures that out. Um but you've been
spending a ton of time and pouring a lot
of your own personal money into
robotics, humanoids, kind of the
intersection of AI and and the physical
world. Can you talk a little bit as to
are those two things actually the same?
Like do you see some arbitrage and
you're like, "Hey, this is going to
happen, but the world hasn't figured it
out yet."
>> I mean, I I I think about what I do as
being completely and purely
opportunistic in terms of information
asymmetry. I mean, I spent the entirety
of the last 20 years
essentially just trying to detect any
change that's happening in the world a
little bit quicker than others. And you
know, I use that word change loosely cuz
like in the past, uh, it's meant change
in consumer behavior. It's meant change
in culture. It could be changes in
politics, in in in weather. Uh, but
recently, the last four years, it's all
been about technology, right? So,
changes in technology. I always say that
the larger the change, the bigger the
opportunity, the faster that change is
coming at us. the bigger opportunity
and there's never been a bigger change
that's hitting us as quickly as this age
of AI. So, you know what I do as an
observational investor or social herb
investor is I try to detect change and I
try to connect dots quicker than anyone
else. It's really that simple to
investable opportunities and I just try
to stay hyper opportunistic about that.
I don't have a framework. I wasn't a
physical
um AI investor, you know, embodied AI
investor prior to humanoid robotics. I
had zero experience in that world, but I
cast a really wide net at the top of my
funnel. And because I only work for
myself, as you know, I'm invested in
about 180 early stage companies. Uh
although I'm primarily focused on public
equity markets, I can do anything I want
whenever I want. So tomorrow I can wake
up and say I'm going to laser focus on
this one thing for the next 6 months and
not do anything else. And if I just try
decide to change my mind a month into
that, I'll effing change my mind and
I'll become a crypto guy like whatever
whatever I want to do. And I think that
provides the maximum opportunity because
so much of institutional Wall Street as
you know has to work within a framework.
They have to work within an area of
expertise. They have they're handcuffed,
right? I have complete and utter freedom
to chase the opportunity that's in front
of us. And dude, I'm telling you right
now, I said this what, four years ago,
three and a half years ago,
the day I got on chat GPT for the first
time. Nothing comes even close to what
we're seeing right now. That said, I
know you mentioned robotics.
We're years away, but that will be the
biggest thing that humanity ever sees.
Like embodied AI, robotics, humanoids,
all the stuff.
It's years out. Don't believe what all
the hype tells you. like we're not going
to have robots doing all the stuff next
year or the year after or the year
after. Believe me, I'm probably deeper
in this space than anyone in the world
of finance. Uh deployment is an
exceptionally difficult thing to achieve
when it comes to generalized robotics.
It's never been done before. Uh we're
going to learn a lot over the next 5 to
10 years. But when it happens, and it
will happen slowly, kind of like
autonomous cars happened meaningfully
more slowly than anyone would have
anticipated, including Elon and all the
Tesla guys. But it's starting to happen,
and when it happens, it will be bigger
than anything we've ever seen in our
lifetime.
>> You mentioned changing your mind, which
I think is a very fascinating uh kind of
exercise. It's very difficult for most
people in this room to do that because
it requires you to one go from something
I believed in to maybe I don't believe
in it as much. And it could happen by
I'm running towards something new. So I
see a bigger opportunity, a better
asymmetric thing. Or it could be I want
to run away from the thing that I
thought was true and is no longer true.
How have you learned to change your mind
and do it with such conviction that you
can actually not only change your mind,
but that you change your portfolio as a
result? I I would say it's one of the
things I'm most proud of that has been
one of the most difficult things to
accomplish as an investor over the
course of my multi-deade journey as an
investor, especially as an investor
who's very public on YouTube and X and
talking about almost everything that I
do. Uh I'm always kind of questioning
the counternarrative. I'm always looking
for the best case against my thesis and
I'm re-evaluating that on a daily basis.
You know, there was a trade I made, I
don't know, a year or two ago on
Lululemon and it was based on Google
Trends data. I I have been monitoring
Google Trends data from the day that it
first came out, I don't know, 17 years
ago. I'm fairly well known as probably
one of the best Google trend an analyst
I think in the world. Like I probably
spent more time on Google trend data
than anyone I know in finance. And there
I think it was like the summer of 25 we
saw anomalies in the data set that we
had never seen before. It was
astonishing and it was across a bunch of
different brands. Lulu just happened to
be one of them. Uh if you were going on
that data alone, it was an unprecedented
quarter for Lululemon. We saw spikes
that were just never achievable
midsummer. spikes that don't even rarely
even happen during the holiday season.
And we made an investment, you know, on
that, a pretty heavy investment call on
that on Lulu. And then about, I don't
know, 10 days later realized that the
entire Google Trend data set had been
corrupted by AI AI queries. I wrote
articles about it. No one believed me.
To this day, they still don't believe
me, but it's still going on today. I
essentially have more or less not used
Google Trends since last summer because
of this.
>> Let's go a little bit deeper on this for
a second just to kind of set the scene
here. So, you're monitoring Google
Trends in general.
>> We're looking at search patterns on all
the products that Lulu sells.
>> Okay. You see a huge spike,
>> massive.
>> Okay. And you say spike equals increased
sales, which equals beat, which equals
higher stock price. M
>> and so you go and you put a position on.
>> How do you uncover that it's not an
organic spike
>> once you start building the full data
matrix of all the other data points that
should theoretically be aligned with
what you're seeing on one data source.
Nothing else aligned. Okay, so that was
a huge red flag. Then we started to
figure out why are they not aligned?
What other is this a corrupted data set?
We looked at similar types of queries
that had nothing to do with Lulu and
they were all started spiking around the
same time within a couple weeks.
Something had happened where they had
switched. It was I think it was chat GPT
had started gaining access to queries on
Google and they started getting counted
and registered. So the entire entire
data set got corrupted. So I had to come
out and basically say now I'm I'm out of
that trade right now. Most people see
you when you get in a trade. They rarely
listen to you when you get out of a
trade. Like it was like and of course
Lulu completely got destroyed on
earnings that that quarter last summer.
Not this summer, but last summer. And
most investors just wouldn't do that.
Like it's crazy. Like like I I tell
investors like once they get in a
thesis, they can't get out of it. Like
they cannot ingest new information that
hits them. It's like you have a thesis,
you test it, you continue to test it,
then new information surfaces that all
of a sudden makes your thesis fall
apart, but because they've been vocal
about it, whether to themselves, their
friends, in their head, they already
have this thing where they think they're
going to make a bunch of money off of
it, especially with content creators,
they refuse to like say, "Hey, I now
have new information and my thesis is no
longer valid. It's wrong, and I'm going
to exit out of the trade even though
maybe I'm down, right? That is one of
the most difficult things for an
investor to do. Institutional, retail,
doesn't matter. I it took me
two decades to be able to have the
strength to do that. Um, but it's one of
the most important attributes of a great
investor is to let the information
follow the information as it as it's
shifting.
>> So, if you're looking at Google trend
data, let's just call that somewhat
quantifiable data. If it doesn't line,
it's kind of math, right? Then you start
to ask questions. What about when you're
doing more of the like reading Tik Tok
comments or things that are maybe more
uh less quantifiable, more, you know,
kind of quantit or um um qualitative in
the sense of it's a little bit harder to
know is this shifting? Do you just have
like a feel for like, hey, I'm seeing
less comments or or what happens there?
I yeah I basically is if you yall don't
know me I basically built my entire
career on uh conversational data sets
which is a concept that if you're trying
to detect change in the world quicker
than others where is the origin point
where is the earliest point where you
can detect that change? Most hedge funds
rely on transactional data sets credit
card data swipe data right uh what do
people do before they buy something?
What do people do before they take the
trip? Uh before they change their
behavior,
they speak about it. They speak about it
before and during. So conversational
data will always be the earliest data
point an investor will ever have access
to. And it's free, right? Like so I
spend the majority of my time the last
decade decade reading comments on videos
mostly Tik Tok because that's where most
of the organic raw conversations are
happening. The problem with
conversational data is that it's highly
interpretable and it doesn't have an
historical correlated history to any you
know revenue point at a company right
because it's it it even the way you
speak changes over time so it's it's
very difficult but if I find something
in conversational data that leads to me
to believe that people are changing
their behavior or their buying patterns
or there's something happening with
technology it's not always consumer
stuff. Sometimes it could be developers
talking about going on cloud. That's how
I invested in AWS, I don't know, 13
years ago in Amazon. It could be people
right now speaking about their use of
AI, right, at incumbent companies. if
you're trying to really detect the speed
at which AI is really uh meaningfully
being adopted across the spectrum of of
the of the world economy.
That's just one data point, right? That
that you build a thesis off that. There
could be 15 other data points now that
you want to build a matrix off of. It
could be search data. It could be
website traffic. It could be going out
and interviewing store managers uh or
actually seeing things in the real
world. uh it could be transactional
data, credit card swipe data. So you
want to build that data matrix and you
want to generally see how many aligning
data points exist, right? And and that
defines the degree of conviction you
have in a trade. So the trade that was
the biggest trade of my life last
quarter on Amazon, it was the I' I've
done shows about this. I made 10 million
in one day trading Amazon options on the
on earnings and everyone called me a
degenerate because it was a lever trade
where I would have lost a few million if
it didn't go my way. Um, you know, what
people don't see is that, you know, 100
plus hours of deep, deep research that
went into that trade across every single
data point that was available on Amazon
and cloud computing and compute prices
that quarter and even like deeply
assessing what the management team was
likely to say on that earnings call
based on what Microsoft said 3 days
earlier, right? And so, like, people
don't understand to have that level of
conviction where you're willing to put
10% of your liquid net worth on a trade
that's going to disappear in 24 hours if
you're not right. An options trade,
obviously, right? Uh, I'm willing to do
that, but I'm only willing to do that
when I put a 100 hours into something.
So, I hope you're enjoying this
conversation. But before we continue,
most of you know I live in New York
City. And when I try to go to sleep, it
is noisy as hell outside. There's
trucks, there's sirens, there's all
kinds of noise, including people just
yelling and screaming for no damn reason
late at night. That's why I'm so excited
to tell you about the Fit Nexa Somni
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There's a private alarm built in, too,
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Doing something like that going into an
earnings call. One of the areas that I'm
very excited about is let's say that you
had a op in on what was going to happen
with AWS revenue. I'm boiling it down.
Let's just say that that was the the
kind of bet and you buy the stock going
into earnings because you think AWS
revenue is going to beat but when that
occurs all of a sudden the stock goes
down because the CEO says something or
some other part of the business is weak
etc. The promise of the prediction
markets if they become liquid enough
would be you could actually isolate the
economic data point of just is AWS
revenue going to beat or not. Are you
excited about being able to do that or
do you think actually there's more
opportunity by having the complexity of
the stock price is not just AWS revenue
it is made up of what they say on the
earnings call the other business lines
AWS kind of everything together.
>> I I think it's first of all I think it's
awesome. I think it's super interesting.
I love it. Uh, but for me, if you're
willing to like do the real work, it's
it's the nuances and the complexity and
the vagueness of what you think the
marginal driver of action is going to be
that day. That listen, I knew AD WFS was
going to was going to beat based on my
analysis. Most of the street did as
well. I actually was a little more
bullish than the rest of the street, but
that was not the marginal driver of my
conviction that day. The marginal driver
of my conviction that day that made me
place that trade was my confidence that
Amazon management was going to
uh address the capex issue headon on the
earnings call and that based on what
Microsoft had done two or three days
earlier on their earnings call which
went exceptionally well, they did the
same thing. Microsoft addressed it and
Microsoft got rewarded for it.
Jasse, I knew, listened to that call. He
saw what they did. He's smart. I knew he
would do the same thing in his own way.
And that's exactly what happened. Amazon
came out and said, "Listen, we're going
to increase capex again from 200 to 220
billion." But don't be concerned. Number
one, 100% of that is accounted for in
terms of we have demand for every penny
of that capex. And even in the event
that something some anomaly happens to
where you know he was essentially
referring to maybe someone like
Anthropic or OI goes out of business or
something like that, right? Like the
majority of that commitment
[clears throat]
we hold very close to the vest right
before the revenue hits. meaning like
taking those final equipment deliveries.
So he goes, we have a tre we have
flexibility, right? And so again, I knew
he would address it because it was the
exact thing that destroyed Amazon the
previous quarter and for the previous
four months, right? So it was the number
one issue the company was having with
investors.
He knew exactly how to address the
issue. Microsoft had just done it. I
thought it would be wild if he wasn't
able to pull that off. He's not the type
of CEO that's not measured. So again,
while the rest while the very few
investors are thinking like I think,
right? Like how many investors were
thinking so laser focused on that?
Almost none. I can guarantee you, right?
They're looking at numbers. They're
looking at what's the number going to
be? Are they going to beat? No, I know
what's I know what's going to move that
stock cuz I've been thinking about it
every second of every day for 3 months.
And and that was my move. Okay. Even
then, I knew that I didn't know what I
didn't know. There were other factors
that can come into play. I had to hold
those options overnight. I didn't know
what Trump was going to say about Iran
that night. Who knows? The whole market
could have fallen apart, you know, to
the degree that earnings wouldn't have
even mattered that much. So I told
everyone like listen post trade there
was still a 20% chance that trade was
going to go down the wrong way even
though I felt I had covered my basis and
I had never had higher conviction in an
earnings trade but there was still like
an only an 80% shot of that trade
working.
>> Let's talk about actually like executing
the trade. You could have bought that a
week before the earnings. You could have
bought it the night before. You could
have bought it the morning of. You could
have bought it, you know, 20 minutes
before the market close.
How long do you wait to make sure you
have all the information necessary to do
it? And I say that as like if you bought
the options in the morning, something
happens at noon, you may change your
mind, but you also don't want to like
359 it, you know, and like hope hope you
sneak in. So, how do you think about the
actual day of executing a trade like
that?
>> Well, everything's a trade-off. And I
did buy options that expired the week
before. Took a 100% loss. I was fairly
confident
uh that with Microsoft earnings, which
killed
that the Wednesday expiration was going
to be the move. And I went all in on the
Wednesday expiration.
Wild that it did not work out. Uh took a
100% loss, a seven figure loss that day.
And I talked about this. My account was
had been destroyed at that point because
I had been getting crushed on Amazon for
weeks. And so even with my account
crushed, I decide to take I don't know,
it was like another 10 or 15% of my
liquid net worth and put it into that
last trade going into earning. And
that's why everyone called me a
degenerate, right? Um
>> you were going to make it back in one
last trade.
>> But again, this is this is 6 to 8 months
of work going into this trade. And I
understood why it didn't work the week
before and why it didn't work on that
Wednesday. And so I decided to say, you
know what, I'm going for it. I put it
all in on Friday and of course the stock
had been dropping so the options were
cheaper. So I was able I think I was
down 8 million and I made 11 million. So
you know I I I made my money back that I
had lost in the weeks and weeks and
weeks prior including that Wednesday
plus some. And I thought it would be
irresponsible for me not to make that
trade as crazy as that sounds with the
work that I done because there are very
few times when you have that type of
conviction
in a in a company in in a specific
trade. It it it happens one to five
times a year, right? It could be zero
that whole year. So, I didn't know when
the next one was going to come around.
It could be a month or a year. You're
the perfect person to ask about cash
>> because uh I think most people when they
know your story, they see how you
invest, they're like, he must be 100%
invested at all times.
>> How do you think about using cash to
wait for another idea, another trade, do
research, risk manage? Like, do you hold
cash in your portfolio? And how do you
think about it? Yeah, I I think I think
one of the biggest mistakes investors
make is not properly bucketing their
money uh for the objective of that
particular account and the degree of
risk that you're willing to take to
achieve the reward that that is aligned
with that account type. So um
for this particular account which is my
primary account which is the vast
majority of how I invest in public
equity markets I have a very specific
objective which is very different from
what other investor how what the
objective of other investors you know
I'm trying to generate 50 to 80%
annualized returns which I have done now
for 18 years in that account every year
year in and year out and the Only way
that I can achieve that is by
taking concentrated levered bets when I
have a high degree of conviction. So my
account is generally levered 30 to 70%.
Uh there are times when I'm 100% levered
and then there are times when I'm 100%
levered and things don't go well and I'm
getting margin called on the daily and I
still have exceptionally high conviction
and I have to take money out and start
buying options, right? So it's like I'm
100% levered. So the only way I can go
in deeper is by taking equity and trans,
you know, transferring equity to
derivatives to options. And that's where
I'm like crazy levered. That's exactly
where I was when I made that Amazon
trade. Um, there are other times when
the market is volatile and I don't have
a lot of conviction. I'm 30% levered.
But for me, being 30% levered and not
holding any options is like the
equivalent of holding cash, right?
Because [clears throat] if I'm only 30%
levered, I don't have options, I have a
lot of opportunity to dip into my
account to lever up, lever up, lever up.
Even if I'm wrong two or three times in
a row, I can still dig in deeper. So,
everyone, it's diff, the answer is
different for everyone. But I will say
this, I think retail investors
really underappreciate the power of
concentration and leverage. And I'm not
saying that you should be doing this in
your retirement account or your kids's
college education account, but everyone
should have an account where they are
willing to take responsible amounts of
leverage and concentration to generate
outside returns if that's an objective
for you. But I would imagine most of us
would like to have an account where we
can get rich quick rather than get rich
slow, right? over 50 years. And I just
don't understand this stuff that's been
kind of pushed into our head by Wall
Street for 50 years, which is you must
have uncorrelated returns. You
shouldn't. You should avoid draw downs.
What's wrong with a 70% draw down on an
account that's designed to generate
wealth over 30 years? I'm happy to take
a 70% draw down every once in a while. I
took one this summer. Okay?
There's nothing wrong with a 70% draw
down if over time you're going to
generate two to 3x market returns.
Again, if most of us are investing over
20 to 40 years, correct? Most of us. I
mean, I'm not young. I'm still investing
for 20 to 30 years at my age right now.
So, why do I care about a 70% draw down?
Why would I not want to have an account
that's correlated,
concentrated,
levered, and generates 30, 50, 60%
annually because it's concentrated and
levered and correlated to what the world
cares about, which right now is
technology and the industry of
intelligence. And if you push forward a
few decades,
it's all that matters quite honestly.
intelligence and technology and global
buildout of I mean
I just think it's a really messed up
thing and and I'm I'm trying to drill
this through retail investor's head.
You're so goddamn afraid of leverage.
Well, maybe you should be afraid of
leverage if it's in your kid's college
education account, but why don't you
start a new account with 20 bucks in it
or whatever you want, right? And and
start learning how to invest with
leverage and concentration because
anybody can do what I do. We're just
afraid to do it.
Are you willing for that account to go
to zero?
>> Yeah. So, that's a great question. When
you're in like what I'm going to bring
up here is if if you if you have someone
who's not a stock picker, okay, who's
like, Chris, I don't want to do the crap
you do, but I want to I want to get
gains that are bigger than 9% and 10% a
year. I want 18%. You know, that'd be
insane. That it's a life-changing thing.
The difference between nine and 18,
whatever it is, right? So if you look at
the triple lever S&P ETF, I'm not
talking about triple leverage ETFs on a
sector or on a single stock. I'm talking
about across the entire S&P or the
NASDAQ. There have been studies done,
there are white papers written on this
where they've gone and backdated if you
would have done that over the last 80
years, right? What are the draw downs?
What are the what are the returns?
Basically, the returns are 1.8x the
market, okay? With some massive draw
downs in between. But again, if you're
investing over decades, why the hell do
you care? Even if it's a 90% draw down,
why do you care? Um, and of course, when
you're investing over time, it compounds
even bigger than that, right? So, my
question to you is there is a
theoretical risk of a in an anomaly
situation that we've never seen. We
haven't seen in 80 years. We've never
seen it ever. There is an anomaly
situation where you lose it all. But if
I told you that that anomaly was like
onetenth of 1% which is probably what it
is, okay? It's like onetenth or two ten
of 1% that we will hit something that
we've never seen in our history and
instead of a 70 80 90% draw down it's
like 100% basically.
Would you not take that bet knowing that
you basically have close 99.9%
chance you're going to basically double
your returns over 30 years? Okay. So
instead of retiring with 3 million,
you're getting six.
So
it's just nonsensible. It doesn't make
any sense at all, right? That that that
you're not willing to take in a in an
account that's designed for that,
right? There is a tail risk. We have to
acknowledge that there is a tail risk.
But guys, there's also a tail risk that
someone's going to put a nuke off. we're
all going to be dead in 5 years, right?
There's a tail risk that yeah, the AI is
going to kill us or a bad actor is going
to get hold of a virus with AI and kill
it. So, there's tail risk everywhere in
life. There's tail risk going out in the
street, you're going to hit by a bus.
You know, the the the girl that was
homecoming queen of my grade in high
school literally got hit by a bus in
Manhattan, I don't know, 10 years out
and is no longer with us, right? That's
act that's real. That's like my
homecoming queen of my high school
class. This is not some one in 10
billion tail risk. So what the hell are
you so afraid of? A ridiculously small
tail risk that something that's never
happened in human history might happen
and you might get wiped out.
>> When you think about some of these tail
risks, one that has become talked about
more, but I don't think it's very big is
like AI is going to kill us. Um I have
yet to understand how a software AI will
kill us, but um no one's really kind of
laid that out. They just like to say it.
But I do think that there's a lot of
people who are worried about the
physical embodiment of AI. You know,
obviously if the AI had a weapon or the
AI could, you know, humanoid beat us up
or go through all these kind of
scenarios.
>> You are probably one of the closest
investors in the world to the
development of robotics.
>> Do you worry about any of that stuff?
>> I I worry about all I don't want to say
I I think about all of it and I do think
there actually is meaningful risk even
without the embodied AI there. Listen,
there's viruses that can be schemed up.
There's electrical grid that can throw
society into complete and utter chaos. I
mean, there's there's
listen, you mess with the banking
system, you mess with the infrastructure
of society and that in many ways could
be more dangerous than the physical
because people will implode on
themselves. Okay, you mess with the food
chain. Like there's a lot of stuff in
terms of embodied embodied AI. I am
exceptionally concerned about that. But
I'm not so concerned about the ro the
big robots, right? Yeah. I'm concerned
about drones, right? I'm concerned about
fleets of millions of I'm concerned
about, you know, countries like America
that historically have been able to
leverage our resources to kind of
provide defense safety to the world as a
as a good as a somewhat of a good
player, right?
basically no longer having uh that
strength in a world where anyone can
access millions and millions and
millions of drones, right, that are
autonomous that you saw a little bit of
and this happened this last year, right,
where we couldn't gain control over the
straight because of a we're in like not
even in the first inning of autonomous
warfare. What do you think that's going
to be like in 10 years? It's going to be
crazy.
>> It's going to be crazy, right? So, like
to say that that's not a realistic
concern is wild. It's very real. There
are so many concerns when you have a
fragile society where technology is
moving quicker than we're capable of
dealing with, right? And it's everything
is becoming more democratized. You know,
we love it that intelligence is becoming
democratized, but there's a negative
side to that. Bad actors. So, I'm not as
concerned with the AI turning against
us.
Mostly because I don't think any of us
can really fully assess the degree to
which that's realistic yet. Yet, I'm
exceptionally concerned about bad actors
leveraging infinite intelligence to be
bigger, better actors because the one
thing that I know exists are bad actors.
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>> Yeah. I I don't have an answer. Uh I'll
just leave it at this. It is super
concerning to me. I try not to think
about it too much because it it actually
is really concerning to me. Uh I'm just
going to try and enjoy the days that we
have left before it gets really crazy.
Uh and I do think it's we're going to
hit a more I I hate I I'm just being
honest with you.
>> I know. I'm just laughing. The days you
want to enjoy are you like triple
levered up on your stock account?
>> No, I [laughter] mean like I listen I'm
spending you know it's funny. I I spoke
at another conference this morning and
and there's all these events happening,
your events tonight, all this stuff. And
I'm like, people are like, "Why are you
not I'm in New York for under 24 hours."
Like, "Why are you going home?" I'm
like, "My son plays JV football. He's
got three games left.
I don't know how many days he'll see the
field. Like, I'm getting my butt home to
see my son play football." Like, that is
what I care about, right? Like, so, and
I I say that to you guys because as
investors, we get so caught up in all
this stuff. We all do. We love it.
Let's, you know, the thing I love about
investing in 2026, partially because of
guys like you, uh, is that this is no
longer a profession. This is a
lifestyle. This is I don't I don't want
to call it a hobby. This is our life.
We're a community now. Like I I thought
about this the other day and I had a
little anxiety and stuff. There was some
stuff going on in my life and I got on X
because it was like those are my people.
You know what I'm saying? And it's like
I want to see what my people are talking
about today, you know, and like I even
put out a tweet. I want to talk to them.
But like this is a culture now. It's a
culture of being in the investor class
and we're all in it together and it's
really special. But I've been doing this
before there was a retail investor class
when you know me and Howard Linden joke
when you had to go on a Yahoo message
board in 1998 and you put a post and
wait 2 days for someone to respond to
you. Like there was no such thing as a
retail investor really, right? But like
we get so caught up in it that so many
of us like I used to get depressed on a
Friday when the market would close. I
know you don't care cuz you're a crypto
guy. It's always open. But like like but
like I see a lot of young guys now
they're like oh they get depressed when
the market's not open or whatever.
They're like they want 24-hour mark. I'm
like dude
live life right? Like there is more to
this than our little investing chaotic
investing world. It's why I use Sylvia
Misfits and the Misfit uh name. It
started with because I don't know if you
guys know this, but we have uh the
engineering team is a very uh unique
group of people who you normally
wouldn't think would come together. And
I and I first started using it as like
the team was a team of misfits. It was
something we were proud of, right? It
was kind of like, hey, us verse the
world. And then it quickly hit me that a
lot of people in this room feel like
misfits to the traditional financial
world. And so your point about like
there's a culture, there's a community,
all this stuff. You know, Chris has uh a
show, Dumb Money,
>> right? Like that it's almost like you
own the thing that they try to use as
the the thing to, you know, uh put you
down or or whatever. And I think that
that is part of the culture is this idea
of like, yeah, yeah, you're right. Dumb
money, 50 plus% returns annualized. What
are your returns?
>> Right? And so it's I think this element
of uh there's an irreverence to it. But
the thing that I tell every time I talk
to anyone who works at a hedge fund, big
Wall Street institution, I say you're
underestimating this group of people in
two ways. They are smarter than you
think and they got way more money than
you think.
>> And you can see it's now starting to
resonate where they're starting to say
themselves, well, if that is true, maybe
I should be learning from them. Maybe I
should be paying attention. Maybe I
should be reading X. I should be reading
the newsletters. Be watching the
podcast. all this stuff
five, six years ago that was impossible
to see.
>> Yeah. I I I think people don't fully
understand and it's a small number of
retail investors, by the way. And this
is what I would like my recommendation
to all of y'all would be to find these
people. They're out there. Like over
half of my biggest trades the last eight
or nine years were not surfaced by me.
They were surfaced by people in my
network who are psychotic like me in a
different way. and they put their 100
hours or their 200 hours into a trade
and then like I'm like, "Okay,
I'm going to now put my time into that."
But it because of them because they're
crazy and they did they did work that no
one does on Wall Street. Like you would
never do this type of work for a job
because no one would appreciate it. You
do it for the love of it because you're
a little nuts. You're maybe a little
autistic. You're you're you're you're
hyperfocused. Like we're all like this.
I have it in me. There's a group of
investors that I've gotten to know over
25 years. They're all crazy. But when
some of one of them calls me or DMs me,
they're like, "Dude, I got a big trade
I've been working on for 4 months." I'm
like, "Okay, what is it?" And then I'll
start my process. You're not in this
alone. You got to find these PE. I'm one
of them. Okay? Like I always tell
people, steal, don't copy trade me, but
steal my ideas and then do your own
research. Poke your holes in it. Let me
know if you find a hole because like
that's you know I want you to play
devil's advocate on my ideas. None of us
are perfect but there are some of the
best investors in the world are retail
investors that are just psychopaths that
literally they will do things like when
I when I go deep on a trade
people like well what in I'm like no you
don't understand like I will buy every
piece of data I can buy. I will buy
Neielson data. I will I buy hedge fund
data. I will read every piece of
information in the world. Anyone
speaking about the company as an
investor. If they're a customer of the
company, you know, I if it if the
customer of a company is an engineer, I
will read every Reddit forum where
engineers are talking about the thing.
If it's an HVAC company, I'll read every
forum where HVAC people speak to each
other going back two years. I am I will
go to the ends of the world to cover
every single basis. So, I am not missing
anything. Even then, I know there are
things that I don't know that I don't
know about the trade, but we just are
crazy. Like, we will do that level of
deep dive research before I put 10 or
20% of my net worth in a trade that will
go away if I'm wrong cuz it's all
options, right? Um, but those people are
out there. Like, I have a few. They're
out there to find. They're on X. You
could find them. you know those find
those people, follow them, don't copy
trade them, but steal the crap out of
their ideas for yourself and and like do
your own work and then maybe you'll
become one of them or not, but like
start with one of them.
>> You you want to know uh why they do
that? I've come to the conclusion on one
hand there's no constraints.
>> So they don't have to go defend it to an
investment committee, all that kind of
stuff. There's no like, oh, our LPs are
going to get mad if we put more than 5%
of our portfolio in a trade, whatever.
So, you're kind of invest anywhere, do
anything, take unlimited risk. But more
importantly is it's their money.
>> Yeah.
>> It it's not an LP's money. And there's a
uh there's a gentleman who I don't think
he's here, but um I uh I talked to him,
he uses Sylvia, and he told me that he
came from a um uh a union family. And so
he's like, "I never really had money
before, but through some circumstances
of a company that he worked at for a
long time, basically got a lump sum of
money uh in like a buyout type
situation." And this is maybe I don't
know six years ago, 5 years ago. And he
basically started to allocate to all the
names that in hindsight were really
smart. You he bought Carvana really low.
He sold it. He rotated into Bitcoin in
the last bare market. He had Robin Hood
stock early. Like he just went through a
series of things that he had done this.
And he said, "Look, I I made all this
money." He goes, "But I'm basically
deathly afraid of losing it."
>> And it goes back to like, "What does
every CEO ever get told? Only the
paranoid survive."
>> Yeah.
>> Right. And so in a weird way, like he is
better positioned because to him, every
single dollar means something versus a
hedge fund manager who's like, "Nah, you
know, the LP is still going to be fine."
It's a very different relationship with
the portfolio.
>> It is. And I'll say, not that the money
isn't important. For some, that's
definitely the driving factor. For some
others, including myself, it again, I I
don't want to downplay it by using the
word game, but we are playing a very
serious game, and it's a game that we
love and we're obsessed with it. It's
like a game of chess, and we want to
win. And there's nothing like the
feeling of getting a pick, right?
Especially when the rest of the world
doesn't see it and you've worked harder
than anyone else. There's no I mean, the
money's great, don't get me wrong, but
like money is not a motivating factor
for me anymore. For me, it's winning.
And it's not necessarily winning against
others. It's like against myself. Like
to be able to nail that trade that no
one else saw because you worked harder
than everyone else. You did more
research. You kind of cut through the
noise. You figured out what that
marginal driver of performance or stock
price or like whatever it is is. And
like you found the nugget, right? And
you put in months of work. That is the
biggest satisfaction. And you do that
because you're obsessed with this game.
Like like I just I'm not a gamer. I
don't like actually play video games,
but I assume it's the same feeling that
those guys get. They want to win. They
want to play to win. And like that's
what I I love it so much. And I know
there's other guys just like me cuz I've
met them now over 20 years. They feel
the same way. They just god they love
just nailing that tra like Bloom Energy.
Like no one believed in us when we were
in bloom the last 2 years. Nobody
believed short sellers, short reports,
everyone like ah that company sucked for
13 years like like no one believed us
and like we just and then here is Bloom
from 30 to 300 you know in what 15
months and it's like nothing beats that
feeling.
>> What is uh the best way for people to
keep learning from you? Is it the
YouTube? Is it
>> for me? I live on X and YouTube, but I
also have like, you know, this year I
realize that not everybody wants to
watch an hour and a half YouTube show,
Dumb Money Live, uh, and they don't want
to follow me on X, cuz they just don't
like. So, like I do have these like clip
accounts. So, daily Chris Camilillo on
Instagram, daily Chris Camilo on TikTok,
whatever your favorite place is,
Facebook, like there's a daily Chris
Camilo and it's just like two clips a
day. Very digestible because I speak
forever. And so there's an editor that
figures out a way to get all my BS and
down to two tiny little 30-se secondond
clips. Uh but yeah, you can watch Dumb
Money Live. We do one a week or so and
then I love X, man. I'm just like I live
on X. It's my It's my community.
>> He really is a degenerate.
They [clears throat] were right.
>> Yeah. [laughter]
>> All right, Chris. Thank you so much for
doing this.
>> Thank you. It's been fun. makes heavy
on.