Lots More With Charlie McElligott on This Week's SaaSpocalypse | Odd Lots
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>> I think there's a chance you might have
to re-record an [laughter] intro or at
least the intro might be out of date by
the time the episode comes out.
>> That's how you know.
>> That's how you know it's bad. That and
when people start waving around standard
deviations,
>> standard deviations
>> and also when people start saying it's a
healthy correction in the market,
although I haven't seen that much of
that.
>> It's pretty gnarly. Also, when we don't
just say the date that we're recording,
but [laughter] we say the minute we're
recording this at 7:04 a.m. on February
6th, 2026. All the signs are back.
[music]
>> Joe, I want a t-shirt that says ruthless
utility maximizer.
>> Black gold.
>> Let's talk about losers.
>> Who cares?
>> I've decided I'm going to base my entire
personality going forward on campaigning
for a strategic pork reserve in the US.
>> Skulls Unlimited.
>> Ooh, what's the ticker for that? No, I
think that like in a couple years the AI
will do a really good job of making the
OddLots podcast.
>> How do I get more popular and
successful?
>> One day that person will have the
mandate of heaven. We do have
>> the perfect guest. [clears throat]
>> Welcome to Lots More, where we catch up
with friends about what's going on right
now
>> because even when Odd Lots is over,
there's always lots more.
>> And we really do have a perfect guest.
But it is weird, isn't it? Because it's,
you know, it's a little different.
>> It's been a while.
>> Very strange. It's a surreal It's a
surreal type of market environment,
especially over the last week.
>> Right. So, if you've been living under a
rock, markets have been tanking. There
have been a bunch of different things
going on, but first of all, gold and
silver and the metals complex started
plunging.
>> Then you had like basically a slaughter
in software stocks. What else? There was
one. Oh,
>> and crypto.
>> Crypto. Crypto is a big one. So, Bitcoin
is like down to 66,000 something like
that.
>> And I think it hit 60,000.
>> Oh, wow. And that's the thing. I can't
keep up anymore.
>> It doesn't matter.
>> And also, there's concern about private
credit because private credit has so
much exposure to software and they
basically lent all the money at the top
of the valuation cycle, which I wrote
about in the newsletter yesterday. But
anyway, there's a lot to talk about in
markets. Who do we call when markets are
moving? That's right.
>> Sup, Charlie.
>> You guys are amazing.
>> So, this is Charlie McGeligette. Of
course, he is the crossasset macro
strategist over at Namora. I'm going to
start with the the simple question.
Maybe it's not an easy question, but
what was the approximate catalyst for
all of this because you have a bunch of
different things going on, including, by
the way, the nomination of Worsh at the
Fed. So absolutely part of the feedback
loop
>> and but these things are never singular
input you know in a world of thousands
of macro factor variables in this case
and you know I'm an ambulance chaser
that's kind of what my gig is a grave
robber a carpet bagger [snorts]
you know all those things I try to
reverse engineer car accidents yeah
>> and kind of the qualitative starting
point of that is to locate
consensus
positions that tend to then crowd
>> in positioning when trend trades develop
that's usually accompanied or
requirement or requirement being low
volatility to accumulate those kind of
smooth trends. So point being I think
there were a number of market narratives
that got a little lazy.
You know, for instance,
Q4 of last year, as we recall, I think
there was, you know, somewhere 3 to four
months ago, there was still a fair bit
of concern with regards to this idea of
like labor cracking, you know, and there
was still a lot of feedback with regards
to Liberation Day
>> and the policy volatility dynamics, you
know, before things really got hot with
policy volatility most recently. Um, and
that was leading to some, you know, some
skepticism and as it relates to kind of
the equities world, what did you do? You
just stuck in the stuff that kept
working. And that was that same dynamic
we spoke about a number of times last
year. You know, that crowding into
secular growth, mega cap tech, AI, they
just keep growing earnings,
profitability, all of those metrics, and
they took up this massive part of the
market. That's part of this positioning
that set you know at some point in Q4
run hot starts happening. you start
seeing data upside surprising again,
right? He starts openly and more
recently transitioning into January
talking openly advocating his weak
dollar policy.
>> Europe is playing along Trump, right?
You know, so you you start having these
things where people were really
accumulating around effectively a lot of
short dollar trades.
>> And when I'm sitting there and I'm
seeing like how do these narratives go
wrong? How does this crowding go wrong?
And I'm seeing, you know, gold and
silver being attributed to this
debasement narrative or this
ddollarization narrative. There's
credibility in those arguments, but I'm
also a skeptic with regards to the flows
and the actual like singular catalyst of
those. But I start seeing those
positionings really overshoot. We're not
talking like linear projections like
bending off the curve type of, you know,
price performance of late. I see EM
equities crowding. I see cyclical
equities because everybody owns secular
growth and nobody had enough economic
sensitivity. So I start seeing these
kind of positioning overshoots, you
know, that's all the work that we do
internally. And it just said if the
dollar starts agitating and it stops
going lower and you start losing these
short-term trend windows and then you
get, you know, maybe a little bit of
wow, we didn't get the max doubbish
hasset trade, right? Oh, we start seeing
upside surprise data. When everybody is
short dollar and thinking rest of world
growth and actually US is maybe leading
to the upside again or reacelerating
dollar starts performing,
people start monetizing and you start
taking money out of these trades and
that turns into a bigger derisking.
Obviously, we want to get into like got
to get into everything including like
the software selloff and its connection
to silver etc. You know, it occurs to me
speaking of the software thing and I'm
glad you brought up a liberation day.
One of the memes of 2025
>> was just this idea that well look we
don't really know what tariffs are going
to do. We're not really sure what effect
they're going to have on the economy.
But one thing we could be pretty sure of
is that it's only going to affect the
sort of physical goods economy and not
the digital economy. And so tariffs in a
way sort of seem to embolden the
software maybe crypto digital trade
because it's like this stuff is
borderless. It doesn't it's not going to
get held up in customs. So let's lean
into this and then so it's interesting
to hear you know then you get this big
reversal. Can we measure it when you
talk about like how leveraged and how
consensus these trades were whether
we're talking about software or
whatever. Can we measure how crowded
those trades were, how levered these
trades were?
>> Absolutely. I mean, I I'll I'll look
across, you know, we we we have internal
money that we run within QIS businesses
where there's billions of dollars
behind, you know, very sophisticated,
not like naive toy models from trend to
risk par, you know, vault control,
target volatility. So, I look at where
those gross exposures are and like
period point blank grosses were too big,
right? If you look at a snapshot of a
model risk parity portfolio, four
assets, long only using leverage to
allocate your volatility, right? Long
only in equities, bonds, credit,
commodities, different waitings based on
different economic scenarios like very
kind of generic risk parity.
>> We're seeing on a let's say a 5-year
look back 99 spot 7 percentile gross
exposure. It just so happens, right, you
know, Goldman Sachs prime brokerage data
with regards to equity hedge fund
grosses as of last Friday, 100
percentile on a 5-year look back. So
like these are these are synonymous. Now
now gross exposure is not purely a
function of trailing realized
volatility, right? Different strategies
deploy different leverage. different
strategies, you know, will try to
amplify a market neutral versus a net
lean or a directional lean, but by and
large, the grosses were too damn big.
It's like the guy that used to run for
mayor. And when you see grosses being
that big and you see prices bending off
the curve and you see the the thesis
behind it, and this is where I I'm
pumped to tie in like the Bitcoin read,
right?
>> Yeah. if debasement was actually what
people are saying it was right this idea
that in darization you know moving away
from fiat you know US policy volatility
US fiscal deficit which by the way okay
like same with Europe same with Japan
now you know with their little trust
moment you know Europe is taking the
austerity break off that's a global
phenomenon with fiat currency so like
okay I can get with that to a certain
extent but like why didn't Bitcoin
participate if that's what people kind
of claim is, you know, Bitcoin's a shape
shifter as is gold. But, you know, my
story and my skepticism with regards to
that debasement or that deolarization
was the way that Bitcoin absolutely did
not participate when it was gold and
silver. And I and look, you know, I sit
in an options business. I see just
outrageous call SKs and demand for
upside and people, you know, keep
putting on keep reloading into these,
you know, the call spreads and upside
trades in SLV and GLD. The options
volumes are massive. We became a
speculative macro touourrist retail type
of a trade on top of all this.
Bitcoin kept going lower and I started
seeing one if people are grabbing people
clearly have this preference for real
assets you know physical assets right
now in this world of debasement of fiat
of fiscal deficit spend perpetual
issuance all those things Bitcoin is
trading like software it's trading like
SAS which is going through an
existential crisis right now for really
justified reasons especially with
regards to valuation right and the funny
thing is when we were talking about, you
know, how AI was actually going to I was
making the point kind of Q4, start of Q4
last year, there's two major tailwinds
for equities that become potential
headwinds in 2026. They're very well
socialized, but they still ring true.
Ironically, we kind of got a back door
on it. One was that the capex spending
with regard to AI, you know, was burning
your cash and you were moving through
the cash so fast, right? and the cash
that made these companies so preferred.
So, you know, screening is quality and
profitability and all these great
things. They're liquid. They're big. You
can move in and out of them. They only
go higher, you know,
>> and they did a bunch of buybacks.
>> Well, that's the trick, right? So, like
you aggregate kind of like the MAG seven
or like, you know, maybe the 12 biggest
kind of like AI contingent types of
players. You're talking like 20 to 30%
of the overall S&P 500 buyback. So,
that's a huge point for me because I've
made this before. Buybacks are like
seven to eightx the largest source of
demand for equities over the past 15
years.
>> Wow.
>> And it's a vault suppressor.
>> Yep.
>> Right. I mean, you are a
>> you're a passive bid under the market on
a Vue up order or more importantly, when
there is a draw down, that's when they
get most active. So, it's like long
gamma. It's like synthetic long gamma
market. So, one, you're burning through
your cash and you're no longer doing
that. two, you're burning through your
cash and you're no longer buying back
stock as this v shock absorber and
passive bid into the market from kind of
sort of a quarter to a third of the
overall S&P's buyback that you're then
too having to take on this new debt. You
take on new loans, you know, to a
certain extent, you're trying to lever
the balance sheet, but you know, more
importantly, what does that mean for
credit? Credit has been this perpetual
kind of va bleed.
>> Yeah.
>> Because spreads are so tight, credit,
>> people have been issuing to fund
buybacks as well.
>> Yeah, 100%. I mean, ironically, that's a
probably a separate podcast. But
remember, we used to kick and scream
like, "Ah, QE, this is crazy. Like this
malinvestment, like they're bringing
debt for buybacks and they're not doing,
you know, R&D and they're not spending
capex, they're not building plans."
Well, here you go. You know, Duck said
something like this, you know, many
years ago in an interview. He's like,
actually, when you start to see, you
know, the cash turn into capex spend,
there's usually kind of a point of
agitation. It's not always in the right
direction for equities, let's say,
right? And in this case, I think we're
starting, obviously, we're starting to
get that, but the credit point is
critical because the pace of the capex
kind of prisoner dilemma that we're
still seeing right now with like
yesterday's earnings releases. The
magnitude of that supply in the
investment grade market is simply going
to widen spreads. Tech is a big part of
that. Now, this is the punchline.
bringing it back to software, bringing
it back to Bitcoin
as we were all kind of watching this
potential for, you know, the credit
markets to become a headwind. Not in a
shock, not in a freeze, you know, not
anything close to a systemic dynamic,
just too much supply with spreads too
tight. You're not being compensated for
it. So, like there was kind of this
general shortened credit because guess
what? The whole world is watching one in
like baby footsteps. Can Oracle get
their funding done? That was the one day
we had a sigh of relief this week by the
way. They got 25 billion of investment
grade done plus converts
>> with like 129 billion of demand. The
market huge exhale. But guess what? Open
AI is still in the background somewhere.
We're like kind of sort of in the next
two months they got to come up with like
anywhere from 100 to 200 billion bucks.
And that is still a major point of
skepticism.
>> It's not a funny punchline, is it?
>> No, it's not. it doesn't make you feel
really good. But here's the thing as
Anthropic has done their thing and I
mean bang you guys are in in it right
now with regards to claude and the
implications of vibe coding and you know
a whole reset with regards to certain
industries and taking out even if it's
just the basic level of like legal
compliance documentation and we've seen
it start to hit bottom lines with
regards to earnings mentions and things
like that that is happening so fast that
software is going through this
existential crisis and here's the deal
those dudes are stuffed on restricted
shares. They're stuffed on RSUs in the
concentric circles of
VC boys and tech boys and SAS bros and
Bitcoin bros has a lot of overlap.
>> It's all the be boys and bros.
>> It's not a ven diagram. It's just a
circle.
>> It's kind [laughter] of like straight up
overlap. And you know, in this sense,
you can't sell. you're kind of being
haircut 10% it feels like every week
right now with regards to do I have a
job what are the prospects where is this
industry going
>> and what do you have to sell you know
and I think that that's why it is
trading tick for tick year to date with
SAS software and it's quite remarkable
and that to me as I step back to this
large conversation
it's not really about the basement
right this is a digital phenomenon this
is a liquidity crunch with regards to
this the idiosyncratics of that sector
really coming under attack.
>> And by the way, now it's also become a
backdoor credit story where it's not
simply the spread widening from the
hyperscalers. It's people worrying now
about private credit, private equity,
the BDC guys which are, you know,
sitting on a lot of this stuff with, you
know, really tricky valuations and not a
lot of like buffer room on, you know,
with gross covenants and things like
that. So, you know, it's become a huge
macro story. They kind of did the
endound with regards to where we thought
it was going to come. But we can handle
a couple things at once. You know, you
all of a sudden you get a little bit of
a surprise with regards to the Fed
chair. Dollar stabilizes. You already
had people in all these short dollar
trades. People start taking money out
of, you know, gold upside, silver
upside. They start taking off some EM
upside. And at that point, like last
Thursday, I'm looking at grosses. I'm
looking at our CTA trend net exposures
in commodities and metals 98 percentile.
I'm looking at our net short dollar
exposure 0 percentile. Look at our net
equities exposure 97th percentile. I'm
saying these are the qualitative things
I need to see where profit taking and
monetization turns into a riskmanagement
exercise.
>> [music]
>> So speaking of selling what you can and
not necessarily what you want, one of
the reasons that yesterday, February
5th, I guess, was so painful is because
we started to see the places, the few
places where people were able to hide
start to go down. So consumer staples
for instance, it wasn't a big drop, but
still they'd been surging earlier in the
year
>> as people sort of switched out of
software and into consumer goods, but
now it's not quite clear where they're
going to go. So correlation seems to be
picking up, right? Like in a market
crash, correlation goes to one, but at
the same time, I can't figure out what's
going on with implied correlation
because if I look that up, it's still
pretty low. So this is you know
absolutely topical and it's something
that you know we continue to get
questions on over the last few years you
know that generic like why is V so low
right you know and low V or high V is
incredibly subjective it's about the you
know the V surface it's about skew it's
about where the starting point was where
you've moved from how quickly all you
know it's it's art plus science the part
of the problem with V in general
certainly being sticky and I think it
comes down to where the money has flowed
with regards to the hedge fund space is
that you know maybe 101 15 years ago the
long short universe you know running net
exposure
was I don't want to say you know
necessarily dollar for dollar like axed
or necessarily larger than you know the
multistrats at the time but like they
ran net and they would lever up
positions or they would hedge their
longs and there were you know generally
speaking there was buyers volatility
with those guys to a certain extent you
If you look back kind of on the sort of
let's say five at 10 years of dollar
flows into the hedge fund space with
regards to all new flows multistrats are
conservatively 80 cents of every dollar
in
>> and then if you actually include
outflows from other strategies you're
legitimately through $1 of. So the point
I'm making here and multistrats are
unbelievable
with regards to their low volatility
with regards to the consistency of their
returns with regards to the the
disciplined risk management the tight
stops model yeah
>> the non-correlated returns which is the
whole story why people keep allocating
into them
>> they've proven to be such an absolutely
undeniable force hence all this dollar
flow but think about it like this. We
don't see the core ones anymore. And
this is like
>> core ones.
>> Core ones meaning like when things
shock, everything trades up together or
down together, right?
>> And that was kind of the old state of
the world. But now what we tend to see,
and this is exactly what we saw earlier
this week when you had, you know, and of
course financial market returns are not
on a normal distribution, but for you
know,
>> I hate people that point that out.
>> It's like it's like like something in a
pharmaceutical ad.
>> Yeah. like you have to include it cuz
otherwise someone annoying
>> don't take this drug if you're allergic
to this drug. Yeah. So the point here
being that you know you would see kind
of like a risk on risk off type of core
one phenomenon you know in past era.
Part of what is happening now in my
mind, you know, with these, you know,
little bit of fragmented, you know,
bullet points, you know, triangulating
here is the fact that the dollars and
the leverage controlled by the market
neutral multistrat equity space are so
overwhelming in the sense that when you
get when you are forced to derisk or
degross,
you know, the tilts go wrong
>> that you have the offsetting short on
the other end, right? It's not just you
stop out of your net longs or your
crowded longs, right? It's that you're
also, you know, theoretically an equal
dollar amount on the short side being
covered. And what ended up happening on
like the two big down days this week, it
was like 250 stocks were up, 250 stocks
were down. So, you're getting this like
reverse dispersion.
>> Yeah.
>> Right. very much the opposite of what
last year was which is this crazy
concentration of like top decile bottom
decile just spread 99th percentile on
like a 10-year basis which feeds into
why people are loaded into momentum
right the higher stuff keeps going
higher it's human nature this is like
fine French this is factor alpha you
know commoditized alpha so these things
I think due to this kind of where the
dollar flows have been the market
neutrality the fact that there's always
this offset against it you're not
getting core shocks and when you don't
get core shocks necessarily at least
initially because V did not really react
until just like two days ago and
yesterday volav
you need correlation as an input to
higher vault to like sustain and you're
just not getting that you still have low
core now the trick is to your point D is
very interesting you mentioned the
defensives right
>> the reversal that we saw when people
said look I'm I'm too much exposure in
secular growth mega cap tech AI I which
gives you a lot of momentum exposure a
lot you know you know unintended kind of
exposures that when people said I need
more economic sensitivity I'm taking up
my cyclicality right the three best
performing sectors kind of year to date
for most of the year have been like
energy materials industrials right right
stuff that people have kind of been
underweighted for the longest time
>> in the absence of a hot economic cycle
you know but also too when you started
seeing defensives join in that rotation
like it was this massive value
overgrowth trade and that's the three
four 5Z score types of moves that you're
talking about where people didn't have
that stuff on and your longs go against
you and your shorts go against you and
and that is also amplifying you know
these kind of moves because look it's
not just the market neutrals like
they're not boogeyman here they're
unbelievable they barely lose money ever
on a monthly basis they just have very
disciplined tight stops to to get out of
these leans and tilts
>> hard and fast unemotionally and but
guess what it's you know retail it's all
the story stocks all these themes that's
why I pointed out for the last two years
of the boom in leverage ETFs like 82% of
the assets in leverage ETFs which act
like synthetic negative gamma right the
higher you go the more you have to buy
at the end of the day the lower you go
the more you have to sell you know
massive pool of aum now because of like
retail you know tilted speculative
leverage behavior are tied into that
concentric circle of AI mega cap tech
semis you know disruptor crypto so we're
super overweighted super overindexed to
that stuff which amplifies when you have
the tight market neutral stopouts, you
know, with all that leverage with all
that AUM, you know, to get their factors
right because at the end of the day,
those guys are not trying to make factor
bets. There's scenarios where you maybe
run even a little net if there's like a
big, you know, economic reaceleration
trade or something like that. But
generally speaking, the idea is like we
don't want beta to the S&P. That's the
point. That's why people pay us. Stop
comparing us to S&P returns. So all
these things are part of this like
backdrop plus the narrative overshoots.
To me
>> that was fantastic and it's very
intuitive. I mean there is already good
theoretical ideas for thinking that the
multistrats
were huge drivers of all this. And then
when you add in the fact that the
staples like the sort of underloved
areas or energy materials are the
winners very intuitive to your point on
software you know no one really knows
obviously the degree to which AI is
going to obliterate these business
obiate these businesses no one really
knows but like from the perspective you
mentioned the tight stops that each
manager has within these firms. Can you
give us like some sense of how much is
it like look I just want to keep my job
here and this is the ugly stuff that's
going on and so I'm just going to sell
now and ask questions later. Like how
much does that play into on a week like
this?
Well, we're we're talking about wide
swaths of strategies and active, you
know, systematic versus, you know, field
directional trading. And, you know,
>> you know, tight stops are, you know,
typically that, you know, down 2% kind
of down one and a half% maybe even in
some cases. But you know that's why it
is managed so microscopically and you're
extracting these you know basis points
of alpha in your longs and shorts and
then you know using leverage like a you
know a market neutral is probably 200
300% gross by and large like long short
was always kind of like 50 net 150 gross
something to to that extent but they're
just not as big of a player anymore but
you know that's the trick here like when
I start seeing I always love the
systematic stuff because it's so tied in
it looks a lot like the options market
And market structure by and large feeds
momentum now, right? You're not scaling
out of positions the more they trend.
You're loading into them. So like
whether it's target volatility or CTA or
you assign a an exposure target you know
a leverage target and if the volatility
is five and your V target is 10 you got
to lever that two times or 12 you know
like and that is ironically the lower V
goes the more you need to add leverage
onto that position right to match your
target and that's why that's the problem
we create crashes because all of modern
anybody who's like on a VAR model is
actually a momentum trader, right? You
have to delever when V goes higher by
and large. Now, of course, if you have a
high conviction bet and V goes higher,
that's actually going to be part of your
potential return profile. You know,
that's great. And God knows people have
learned to like, you know, sell Rich V
and buy, you know, buy dips. It's become
conditioned. These time horizons are
like hours at this point. But like
>> some people have made an entire career
out of doing it once.
>> Yeah, for sure. And I mean, you got to
have a titanium stomach. Like I've been
talking to a buddy all week at a multi,
you know, this absolute madman and
there's many others like him. You know,
he's been shorting silver the last two
weeks. I'm like, "How you been sleeping,
dude?"
>> You know, he's like a little better now,
but you know, there's
>> the silver moves are unbelievable.
Yesterday was like 16. I mean, these
I've seen two people I've spoken to say
that the silver move specifically may
have been the crazy one of the craziest
moves they've seen their entire career.
>> It's crowding plus the trend plus the
optionality plus the leverage ETF. You
know, the optionality is leverage in and
of itself. And it's high beta, you know,
as is to regular, you know, big brother
gold. So, these moves are, you know,
wild. But we know that in the era of the
speculative era, you know, people seek
the movement. That's the opportunity.
You are not going to retire 4% in cash.
You know, that's just the way this world
works right now. Now, you know, do you
necessarily need to be like shorting V
or things like that? That's not the way
to do this. But people yolo. It's that
financial nihilism that we've spoken
about, you know, many, many times. You
seek out the movement. You want the
stuff that's moving. And generally
speaking, and this is where it's so
interesting, like you try to press moves
by and large, certainly like the retail
cohort, the world is not built the vast
majority of the time for mean reversion
anymore. Value is mean reversion. Like
something is rich, something is cheap.
It's this counter kind of like a gamma
type of a flow, you know, long gamma
type flow. we feed moves now because of
the riskmanagement dynamics and
especially too just like market
structure how much trend there is built
into the market leveraged ETFs options
things like that you know particularly
the way that people tend to use them
which is kind of to to feed into
prevailing moves
>> so all of this kind of changes the
behavior and the expected outcomes where
you know momentum has been you know this
remarkable factor
for you know academic history studying
these things because of like greed and
fear and things like that and moves can
extend longer than you think. Just
because a trade is crowded doesn't mean
it's the wrong trade. But when you start
to layer in, as I said, the positioning
data, the overall leverage data, the
kind of the conversational qualitative,
how many people are buying into this,
but then you see, you know, some like
divots here and there and like the story
and it doesn't actually make sense. And
actually, this thing is starting to
stall and now I got people taking money
out this thing and I got trend this
loaded into it. This is going to unwind
hard. And I sent that note Thursday, you
know, started unwinding hard. Friday,
doors got blown off. And guess what? It
waterfalls. So other crowded trades go.
Cosby, everybody was like, you know,
no-brainer into that. Japanese bank
longs, right, which are short JGB proxy,
macro tourism. Like people start coming
out of these trades because they're
noncore, but they were high sharp,
>> right? So flows before pros, but now the
pros are chasing flows and that's
hurting the bros. [laughter]
>> That was good. That's really good.
>> That's incredible.
>> Thanks. Um, okay. So you just touched on
this, but what stops the bleed?
>> I think you're, you know, you're getting
certainly some relief here. I mean,
look, people will say, you know, at some
point on a smaller growth,
you don't really have to do anymore. You
don't have to reach for hedges, which
get dealersh gamma, right? Because
you're you don't, you know, have as much
exposure anymore. That's the first step.
People then have to monetize their
hedges. It's the way all of these
reversals happen. you take off your
hedges or you take off your directional
stuff, whether you're shorting futures
against the moves or you're buying
downside puts, you're buying VIX calls,
you start to unwind that and guess what?
Like now the dealers got to take off
their stuff and you got delta to buy.
And then some people say, "Oh,
everybody's taking their hedges off
around the street. Market's starting to
rally off these lows. I'm going to buy
some zero DTE calls." And you know, then
you create more delta to buy.
>> We're back to the races.
>> And and and V starts, you know, V starts
rolling over and guess what? Then the
systematic the v supply people come out
of the woodwork and they feel
comfortable to come back in lean into
this and that's de facto by the dip
right so th this is the cycle and the
world that we live in there's too many
assets this is a final point that that
may be tangential here but with regards
to how these dynamics end it's not
necessarily about like back in the days
like Warren Buffett steps in you know
provides some you know financing line or
you know Toma Bravo stepping in doing
some like deal
>> Satoshi Nakamoto is calling up Warren
Buffett Yeah, I don't know if that's
pulling up David
>> offering 10% of uh
>> it's more about you know these flows
kind of stopping the bleeding but you
know this is the other thing too like
the V flows are so important with
regards to the like the hedge unwinds
and creating the turn in the market the
inflection especially with the
conditioning buy the dip sell the vault
rip that like fixed income has been
trash for five years since the
tightening cycle since you know poor
inflation still running too hot right so
people said Look, this thing doesn't
work for me. It's not helping my
portfolio. My 6040 is awful, right? But
I can't just be long equities, but I
need some yield. I'm I'm boomer. I'm
old. I need some, you know, some
enhancement, but I want equities upside.
And we've talked about this so many
times, and it's true, you know, because
the assets keep growing. All these yield
enhancement vehicles, all these income
vehicles, they're selling equity
optionality. So, your long underlying
equities, you cap that upside to a
certain extent, but you're generating
yield by selling options. That's the new
fixed income. And those flows matter
because those flows that when the kind
of the coast is clear, they just come in
and it's just Vegas supply and it just
smashes all back down.
>> Thank you so much for for coming on at
short notice.
>> It's 7 in the morning.
>> 7 in the morning. Thank you very much.
>> Midday.
>> Yeah. Midday.
>> Yeah. Your day's over, right?
>> Lots [music] more is produced by Dashel
Bennett, Kerman Rodriguez, and Kale
Brooks.
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Ask follow-up questions or revisit key timestamps.
The market recently experienced a "surreal" downturn, marked by significant drops in metals, software, and crypto, compounded by concerns in private credit. This environment was fueled by "lazy" market narratives and extremely "crowded" positions in sectors like mega-cap tech and AI. When the dollar unexpectedly strengthened and US economic data improved, these overextended positions, particularly short-dollar trades, rapidly unwound. Bitcoin, surprisingly, traded like a software stock rather than a debasement hedge, reflecting an "existential crisis" within the software sector. Contributing factors include potential headwinds from AI capex spending and a reduction in stock buybacks, which previously acted as market stabilizers. The current market structure, dominated by low-volatility multi-strat hedge funds with tight risk controls and momentum-feeding retail leverage, results in fragmented market shocks rather than broad "core" movements. Recovery is expected through the unwinding of hedges and the "buy the dip, sell the vol rip" behavior, while "new fixed income" strategies involving selling equity optionality further influence market dynamics.
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