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Lots More With Charlie McElligott on This Week's SaaSpocalypse | Odd Lots

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Lots More With Charlie McElligott on This Week's SaaSpocalypse | Odd Lots

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946 segments

0:01

[music]

0:02

Bloomberg Audio Studios, podcasts,

0:06

radio, news.

0:08

>> I think there's a chance you might have

0:09

to re-record an [laughter] intro or at

0:11

least the intro might be out of date by

0:13

the time the episode comes out.

0:15

>> That's how you know.

0:16

>> That's how you know it's bad. That and

0:18

when people start waving around standard

0:20

deviations,

0:20

>> standard deviations

0:21

>> and also when people start saying it's a

0:23

healthy correction in the market,

0:25

although I haven't seen that much of

0:26

that.

0:27

>> It's pretty gnarly. Also, when we don't

0:29

just say the date that we're recording,

0:31

but [laughter] we say the minute we're

0:33

recording this at 7:04 a.m. on February

0:36

6th, 2026. All the signs are back.

0:41

[music]

0:42

>> Joe, I want a t-shirt that says ruthless

0:45

utility maximizer.

0:46

>> Black gold.

0:47

>> Let's talk about losers.

0:48

>> Who cares?

0:49

>> I've decided I'm going to base my entire

0:51

personality going forward on campaigning

0:53

for a strategic pork reserve in the US.

0:55

>> Skulls Unlimited.

0:56

>> Ooh, what's the ticker for that? No, I

0:58

think that like in a couple years the AI

1:01

will do a really good job of making the

1:03

OddLots podcast.

1:04

>> How do I get more popular and

1:06

successful?

1:06

>> One day that person will have the

1:08

mandate of heaven. We do have

1:10

>> the perfect guest. [clears throat]

1:13

>> Welcome to Lots More, where we catch up

1:14

with friends about what's going on right

1:16

now

1:17

>> because even when Odd Lots is over,

1:19

there's always lots more.

1:21

>> And we really do have a perfect guest.

1:29

But it is weird, isn't it? Because it's,

1:30

you know, it's a little different.

1:32

>> It's been a while.

1:32

>> Very strange. It's a surreal It's a

1:34

surreal type of market environment,

1:36

especially over the last week.

1:37

>> Right. So, if you've been living under a

1:39

rock, markets have been tanking. There

1:42

have been a bunch of different things

1:43

going on, but first of all, gold and

1:45

silver and the metals complex started

1:47

plunging.

1:48

>> Then you had like basically a slaughter

1:52

in software stocks. What else? There was

1:55

one. Oh,

1:55

>> and crypto.

1:56

>> Crypto. Crypto is a big one. So, Bitcoin

1:59

is like down to 66,000 something like

2:02

that.

2:03

>> And I think it hit 60,000.

2:04

>> Oh, wow. And that's the thing. I can't

2:07

keep up anymore.

2:08

>> It doesn't matter.

2:09

>> And also, there's concern about private

2:11

credit because private credit has so

2:14

much exposure to software and they

2:16

basically lent all the money at the top

2:18

of the valuation cycle, which I wrote

2:20

about in the newsletter yesterday. But

2:22

anyway, there's a lot to talk about in

2:23

markets. Who do we call when markets are

2:26

moving? That's right.

2:27

>> Sup, Charlie.

2:28

>> You guys are amazing.

2:29

>> So, this is Charlie McGeligette. Of

2:31

course, he is the crossasset macro

2:33

strategist over at Namora. I'm going to

2:36

start with the the simple question.

2:38

Maybe it's not an easy question, but

2:40

what was the approximate catalyst for

2:42

all of this because you have a bunch of

2:43

different things going on, including, by

2:46

the way, the nomination of Worsh at the

2:48

Fed. So absolutely part of the feedback

2:52

loop

2:53

>> and but these things are never singular

2:56

input you know in a world of thousands

2:58

of macro factor variables in this case

3:02

and you know I'm an ambulance chaser

3:04

that's kind of what my gig is a grave

3:07

robber a carpet bagger [snorts]

3:09

you know all those things I try to

3:11

reverse engineer car accidents yeah

3:13

>> and kind of the qualitative starting

3:15

point of that is to locate

3:19

consensus

3:21

positions that tend to then crowd

3:26

>> in positioning when trend trades develop

3:30

that's usually accompanied or

3:33

requirement or requirement being low

3:35

volatility to accumulate those kind of

3:39

smooth trends. So point being I think

3:42

there were a number of market narratives

3:46

that got a little lazy.

3:48

You know, for instance,

3:51

Q4 of last year, as we recall, I think

3:55

there was, you know, somewhere 3 to four

3:57

months ago, there was still a fair bit

3:58

of concern with regards to this idea of

4:00

like labor cracking, you know, and there

4:04

was still a lot of feedback with regards

4:07

to Liberation Day

4:09

>> and the policy volatility dynamics, you

4:11

know, before things really got hot with

4:13

policy volatility most recently. Um, and

4:15

that was leading to some, you know, some

4:17

skepticism and as it relates to kind of

4:20

the equities world, what did you do? You

4:23

just stuck in the stuff that kept

4:25

working. And that was that same dynamic

4:27

we spoke about a number of times last

4:29

year. You know, that crowding into

4:30

secular growth, mega cap tech, AI, they

4:33

just keep growing earnings,

4:34

profitability, all of those metrics, and

4:37

they took up this massive part of the

4:38

market. That's part of this positioning

4:41

that set you know at some point in Q4

4:44

run hot starts happening. you start

4:46

seeing data upside surprising again,

4:48

right? He starts openly and more

4:51

recently transitioning into January

4:53

talking openly advocating his weak

4:55

dollar policy.

4:56

>> Europe is playing along Trump, right?

4:59

You know, so you you start having these

5:00

things where people were really

5:02

accumulating around effectively a lot of

5:04

short dollar trades.

5:05

>> And when I'm sitting there and I'm

5:07

seeing like how do these narratives go

5:08

wrong? How does this crowding go wrong?

5:10

And I'm seeing, you know, gold and

5:13

silver being attributed to this

5:15

debasement narrative or this

5:17

ddollarization narrative. There's

5:19

credibility in those arguments, but I'm

5:21

also a skeptic with regards to the flows

5:24

and the actual like singular catalyst of

5:27

those. But I start seeing those

5:28

positionings really overshoot. We're not

5:30

talking like linear projections like

5:32

bending off the curve type of, you know,

5:35

price performance of late. I see EM

5:38

equities crowding. I see cyclical

5:40

equities because everybody owns secular

5:42

growth and nobody had enough economic

5:44

sensitivity. So I start seeing these

5:46

kind of positioning overshoots, you

5:47

know, that's all the work that we do

5:49

internally. And it just said if the

5:52

dollar starts agitating and it stops

5:54

going lower and you start losing these

5:56

short-term trend windows and then you

5:59

get, you know, maybe a little bit of

6:01

wow, we didn't get the max doubbish

6:03

hasset trade, right? Oh, we start seeing

6:06

upside surprise data. When everybody is

6:08

short dollar and thinking rest of world

6:09

growth and actually US is maybe leading

6:11

to the upside again or reacelerating

6:13

dollar starts performing,

6:16

people start monetizing and you start

6:18

taking money out of these trades and

6:19

that turns into a bigger derisking.

6:21

Obviously, we want to get into like got

6:24

to get into everything including like

6:26

the software selloff and its connection

6:28

to silver etc. You know, it occurs to me

6:30

speaking of the software thing and I'm

6:32

glad you brought up a liberation day.

6:34

One of the memes of 2025

6:37

>> was just this idea that well look we

6:40

don't really know what tariffs are going

6:42

to do. We're not really sure what effect

6:43

they're going to have on the economy.

6:45

But one thing we could be pretty sure of

6:47

is that it's only going to affect the

6:48

sort of physical goods economy and not

6:50

the digital economy. And so tariffs in a

6:53

way sort of seem to embolden the

6:55

software maybe crypto digital trade

6:58

because it's like this stuff is

6:59

borderless. It doesn't it's not going to

7:00

get held up in customs. So let's lean

7:02

into this and then so it's interesting

7:05

to hear you know then you get this big

7:06

reversal. Can we measure it when you

7:08

talk about like how leveraged and how

7:11

consensus these trades were whether

7:13

we're talking about software or

7:14

whatever. Can we measure how crowded

7:17

those trades were, how levered these

7:19

trades were?

7:19

>> Absolutely. I mean, I I'll I'll look

7:20

across, you know, we we we have internal

7:24

money that we run within QIS businesses

7:27

where there's billions of dollars

7:28

behind, you know, very sophisticated,

7:30

not like naive toy models from trend to

7:33

risk par, you know, vault control,

7:36

target volatility. So, I look at where

7:39

those gross exposures are and like

7:41

period point blank grosses were too big,

7:45

right? If you look at a snapshot of a

7:48

model risk parity portfolio, four

7:50

assets, long only using leverage to

7:52

allocate your volatility, right? Long

7:55

only in equities, bonds, credit,

7:58

commodities, different waitings based on

8:01

different economic scenarios like very

8:02

kind of generic risk parity.

8:05

>> We're seeing on a let's say a 5-year

8:07

look back 99 spot 7 percentile gross

8:11

exposure. It just so happens, right, you

8:13

know, Goldman Sachs prime brokerage data

8:16

with regards to equity hedge fund

8:18

grosses as of last Friday, 100

8:21

percentile on a 5-year look back. So

8:24

like these are these are synonymous. Now

8:26

now gross exposure is not purely a

8:29

function of trailing realized

8:30

volatility, right? Different strategies

8:33

deploy different leverage. different

8:35

strategies, you know, will try to

8:37

amplify a market neutral versus a net

8:40

lean or a directional lean, but by and

8:43

large, the grosses were too damn big.

8:45

It's like the guy that used to run for

8:46

mayor. And when you see grosses being

8:49

that big and you see prices bending off

8:53

the curve and you see the the thesis

8:55

behind it, and this is where I I'm

8:57

pumped to tie in like the Bitcoin read,

8:59

right?

9:00

>> Yeah. if debasement was actually what

9:02

people are saying it was right this idea

9:06

that in darization you know moving away

9:08

from fiat you know US policy volatility

9:12

US fiscal deficit which by the way okay

9:15

like same with Europe same with Japan

9:17

now you know with their little trust

9:19

moment you know Europe is taking the

9:21

austerity break off that's a global

9:23

phenomenon with fiat currency so like

9:25

okay I can get with that to a certain

9:26

extent but like why didn't Bitcoin

9:28

participate if that's what people kind

9:29

of claim is, you know, Bitcoin's a shape

9:31

shifter as is gold. But, you know, my

9:33

story and my skepticism with regards to

9:37

that debasement or that deolarization

9:39

was the way that Bitcoin absolutely did

9:42

not participate when it was gold and

9:43

silver. And I and look, you know, I sit

9:45

in an options business. I see just

9:47

outrageous call SKs and demand for

9:50

upside and people, you know, keep

9:52

putting on keep reloading into these,

9:54

you know, the call spreads and upside

9:56

trades in SLV and GLD. The options

9:58

volumes are massive. We became a

10:00

speculative macro touourrist retail type

10:03

of a trade on top of all this.

10:05

Bitcoin kept going lower and I started

10:07

seeing one if people are grabbing people

10:10

clearly have this preference for real

10:11

assets you know physical assets right

10:13

now in this world of debasement of fiat

10:16

of fiscal deficit spend perpetual

10:19

issuance all those things Bitcoin is

10:23

trading like software it's trading like

10:25

SAS which is going through an

10:26

existential crisis right now for really

10:29

justified reasons especially with

10:31

regards to valuation right and the funny

10:33

thing is when we were talking about, you

10:35

know, how AI was actually going to I was

10:39

making the point kind of Q4, start of Q4

10:42

last year, there's two major tailwinds

10:45

for equities that become potential

10:47

headwinds in 2026. They're very well

10:49

socialized, but they still ring true.

10:52

Ironically, we kind of got a back door

10:54

on it. One was that the capex spending

10:56

with regard to AI, you know, was burning

10:58

your cash and you were moving through

11:00

the cash so fast, right? and the cash

11:02

that made these companies so preferred.

11:05

So, you know, screening is quality and

11:07

profitability and all these great

11:08

things. They're liquid. They're big. You

11:10

can move in and out of them. They only

11:12

go higher, you know,

11:13

>> and they did a bunch of buybacks.

11:14

>> Well, that's the trick, right? So, like

11:16

you aggregate kind of like the MAG seven

11:18

or like, you know, maybe the 12 biggest

11:20

kind of like AI contingent types of

11:22

players. You're talking like 20 to 30%

11:25

of the overall S&P 500 buyback. So,

11:27

that's a huge point for me because I've

11:28

made this before. Buybacks are like

11:31

seven to eightx the largest source of

11:33

demand for equities over the past 15

11:35

years.

11:35

>> Wow.

11:35

>> And it's a vault suppressor.

11:37

>> Yep.

11:37

>> Right. I mean, you are a

11:40

>> you're a passive bid under the market on

11:42

a Vue up order or more importantly, when

11:45

there is a draw down, that's when they

11:46

get most active. So, it's like long

11:48

gamma. It's like synthetic long gamma

11:49

market. So, one, you're burning through

11:51

your cash and you're no longer doing

11:52

that. two, you're burning through your

11:55

cash and you're no longer buying back

11:56

stock as this v shock absorber and

11:58

passive bid into the market from kind of

12:00

sort of a quarter to a third of the

12:01

overall S&P's buyback that you're then

12:04

too having to take on this new debt. You

12:06

take on new loans, you know, to a

12:08

certain extent, you're trying to lever

12:09

the balance sheet, but you know, more

12:11

importantly, what does that mean for

12:12

credit? Credit has been this perpetual

12:14

kind of va bleed.

12:16

>> Yeah.

12:17

>> Because spreads are so tight, credit,

12:19

>> people have been issuing to fund

12:20

buybacks as well.

12:21

>> Yeah, 100%. I mean, ironically, that's a

12:24

probably a separate podcast. But

12:25

remember, we used to kick and scream

12:27

like, "Ah, QE, this is crazy. Like this

12:29

malinvestment, like they're bringing

12:30

debt for buybacks and they're not doing,

12:32

you know, R&D and they're not spending

12:34

capex, they're not building plans."

12:36

Well, here you go. You know, Duck said

12:37

something like this, you know, many

12:39

years ago in an interview. He's like,

12:41

actually, when you start to see, you

12:43

know, the cash turn into capex spend,

12:46

there's usually kind of a point of

12:48

agitation. It's not always in the right

12:50

direction for equities, let's say,

12:51

right? And in this case, I think we're

12:53

starting, obviously, we're starting to

12:54

get that, but the credit point is

12:56

critical because the pace of the capex

12:59

kind of prisoner dilemma that we're

13:01

still seeing right now with like

13:03

yesterday's earnings releases. The

13:04

magnitude of that supply in the

13:06

investment grade market is simply going

13:10

to widen spreads. Tech is a big part of

13:12

that. Now, this is the punchline.

13:15

bringing it back to software, bringing

13:17

it back to Bitcoin

13:20

as we were all kind of watching this

13:22

potential for, you know, the credit

13:24

markets to become a headwind. Not in a

13:27

shock, not in a freeze, you know, not

13:30

anything close to a systemic dynamic,

13:32

just too much supply with spreads too

13:33

tight. You're not being compensated for

13:35

it. So, like there was kind of this

13:36

general shortened credit because guess

13:38

what? The whole world is watching one in

13:41

like baby footsteps. Can Oracle get

13:44

their funding done? That was the one day

13:46

we had a sigh of relief this week by the

13:48

way. They got 25 billion of investment

13:49

grade done plus converts

13:51

>> with like 129 billion of demand. The

13:54

market huge exhale. But guess what? Open

13:56

AI is still in the background somewhere.

13:58

We're like kind of sort of in the next

13:59

two months they got to come up with like

14:00

anywhere from 100 to 200 billion bucks.

14:02

And that is still a major point of

14:03

skepticism.

14:04

>> It's not a funny punchline, is it?

14:06

>> No, it's not. it doesn't make you feel

14:07

really good. But here's the thing as

14:09

Anthropic has done their thing and I

14:11

mean bang you guys are in in it right

14:13

now with regards to claude and the

14:15

implications of vibe coding and you know

14:18

a whole reset with regards to certain

14:21

industries and taking out even if it's

14:23

just the basic level of like legal

14:25

compliance documentation and we've seen

14:27

it start to hit bottom lines with

14:29

regards to earnings mentions and things

14:31

like that that is happening so fast that

14:33

software is going through this

14:33

existential crisis and here's the deal

14:35

those dudes are stuffed on restricted

14:39

shares. They're stuffed on RSUs in the

14:41

concentric circles of

14:45

VC boys and tech boys and SAS bros and

14:50

Bitcoin bros has a lot of overlap.

14:53

>> It's all the be boys and bros.

14:55

>> It's not a ven diagram. It's just a

14:56

circle.

14:57

>> It's kind [laughter] of like straight up

14:58

overlap. And you know, in this sense,

15:01

you can't sell. you're kind of being

15:03

haircut 10% it feels like every week

15:05

right now with regards to do I have a

15:07

job what are the prospects where is this

15:09

industry going

15:10

>> and what do you have to sell you know

15:12

and I think that that's why it is

15:14

trading tick for tick year to date with

15:16

SAS software and it's quite remarkable

15:19

and that to me as I step back to this

15:21

large conversation

15:23

it's not really about the basement

15:26

right this is a digital phenomenon this

15:28

is a liquidity crunch with regards to

15:30

this the idiosyncratics of that sector

15:33

really coming under attack.

15:34

>> And by the way, now it's also become a

15:37

backdoor credit story where it's not

15:39

simply the spread widening from the

15:40

hyperscalers. It's people worrying now

15:42

about private credit, private equity,

15:45

the BDC guys which are, you know,

15:47

sitting on a lot of this stuff with, you

15:48

know, really tricky valuations and not a

15:51

lot of like buffer room on, you know,

15:52

with gross covenants and things like

15:54

that. So, you know, it's become a huge

15:56

macro story. They kind of did the

15:58

endound with regards to where we thought

16:00

it was going to come. But we can handle

16:03

a couple things at once. You know, you

16:05

all of a sudden you get a little bit of

16:06

a surprise with regards to the Fed

16:08

chair. Dollar stabilizes. You already

16:11

had people in all these short dollar

16:12

trades. People start taking money out

16:14

of, you know, gold upside, silver

16:16

upside. They start taking off some EM

16:18

upside. And at that point, like last

16:20

Thursday, I'm looking at grosses. I'm

16:23

looking at our CTA trend net exposures

16:25

in commodities and metals 98 percentile.

16:29

I'm looking at our net short dollar

16:31

exposure 0 percentile. Look at our net

16:34

equities exposure 97th percentile. I'm

16:37

saying these are the qualitative things

16:39

I need to see where profit taking and

16:42

monetization turns into a riskmanagement

16:44

exercise.

16:55

>> [music]

16:58

>> So speaking of selling what you can and

17:01

not necessarily what you want, one of

17:03

the reasons that yesterday, February

17:05

5th, I guess, was so painful is because

17:08

we started to see the places, the few

17:10

places where people were able to hide

17:14

start to go down. So consumer staples

17:16

for instance, it wasn't a big drop, but

17:18

still they'd been surging earlier in the

17:21

year

17:21

>> as people sort of switched out of

17:23

software and into consumer goods, but

17:26

now it's not quite clear where they're

17:28

going to go. So correlation seems to be

17:31

picking up, right? Like in a market

17:33

crash, correlation goes to one, but at

17:37

the same time, I can't figure out what's

17:38

going on with implied correlation

17:40

because if I look that up, it's still

17:42

pretty low. So this is you know

17:46

absolutely topical and it's something

17:47

that you know we continue to get

17:49

questions on over the last few years you

17:51

know that generic like why is V so low

17:53

right you know and low V or high V is

17:56

incredibly subjective it's about the you

17:58

know the V surface it's about skew it's

18:00

about where the starting point was where

18:01

you've moved from how quickly all you

18:03

know it's it's art plus science the part

18:07

of the problem with V in general

18:10

certainly being sticky and I think it

18:12

comes down to where the money has flowed

18:15

with regards to the hedge fund space is

18:17

that you know maybe 101 15 years ago the

18:20

long short universe you know running net

18:23

exposure

18:25

was I don't want to say you know

18:26

necessarily dollar for dollar like axed

18:29

or necessarily larger than you know the

18:31

multistrats at the time but like they

18:32

ran net and they would lever up

18:35

positions or they would hedge their

18:37

longs and there were you know generally

18:39

speaking there was buyers volatility

18:40

with those guys to a certain extent you

18:43

If you look back kind of on the sort of

18:44

let's say five at 10 years of dollar

18:47

flows into the hedge fund space with

18:50

regards to all new flows multistrats are

18:54

conservatively 80 cents of every dollar

18:56

in

18:57

>> and then if you actually include

19:00

outflows from other strategies you're

19:02

legitimately through $1 of. So the point

19:05

I'm making here and multistrats are

19:07

unbelievable

19:09

with regards to their low volatility

19:13

with regards to the consistency of their

19:15

returns with regards to the the

19:17

disciplined risk management the tight

19:20

stops model yeah

19:21

>> the non-correlated returns which is the

19:24

whole story why people keep allocating

19:26

into them

19:28

>> they've proven to be such an absolutely

19:31

undeniable force hence all this dollar

19:33

flow but think about it like this. We

19:36

don't see the core ones anymore. And

19:37

this is like

19:38

>> core ones.

19:39

>> Core ones meaning like when things

19:41

shock, everything trades up together or

19:44

down together, right?

19:45

>> And that was kind of the old state of

19:47

the world. But now what we tend to see,

19:49

and this is exactly what we saw earlier

19:50

this week when you had, you know, and of

19:53

course financial market returns are not

19:54

on a normal distribution, but for you

19:56

know,

19:57

>> I hate people that point that out.

19:58

>> It's like it's like like something in a

20:00

pharmaceutical ad.

20:02

>> Yeah. like you have to include it cuz

20:04

otherwise someone annoying

20:05

>> don't take this drug if you're allergic

20:07

to this drug. Yeah. So the point here

20:09

being that you know you would see kind

20:12

of like a risk on risk off type of core

20:15

one phenomenon you know in past era.

20:18

Part of what is happening now in my

20:21

mind, you know, with these, you know,

20:24

little bit of fragmented, you know,

20:26

bullet points, you know, triangulating

20:28

here is the fact that the dollars and

20:31

the leverage controlled by the market

20:33

neutral multistrat equity space are so

20:37

overwhelming in the sense that when you

20:39

get when you are forced to derisk or

20:42

degross,

20:44

you know, the tilts go wrong

20:46

>> that you have the offsetting short on

20:49

the other end, right? It's not just you

20:53

stop out of your net longs or your

20:54

crowded longs, right? It's that you're

20:56

also, you know, theoretically an equal

20:59

dollar amount on the short side being

21:01

covered. And what ended up happening on

21:03

like the two big down days this week, it

21:05

was like 250 stocks were up, 250 stocks

21:08

were down. So, you're getting this like

21:09

reverse dispersion.

21:11

>> Yeah.

21:11

>> Right. very much the opposite of what

21:14

last year was which is this crazy

21:16

concentration of like top decile bottom

21:19

decile just spread 99th percentile on

21:21

like a 10-year basis which feeds into

21:23

why people are loaded into momentum

21:24

right the higher stuff keeps going

21:26

higher it's human nature this is like

21:28

fine French this is factor alpha you

21:30

know commoditized alpha so these things

21:32

I think due to this kind of where the

21:34

dollar flows have been the market

21:36

neutrality the fact that there's always

21:37

this offset against it you're not

21:39

getting core shocks and when you don't

21:41

get core shocks necessarily at least

21:43

initially because V did not really react

21:46

until just like two days ago and

21:48

yesterday volav

21:52

you need correlation as an input to

21:54

higher vault to like sustain and you're

21:56

just not getting that you still have low

21:58

core now the trick is to your point D is

22:00

very interesting you mentioned the

22:01

defensives right

22:04

>> the reversal that we saw when people

22:05

said look I'm I'm too much exposure in

22:09

secular growth mega cap tech AI I which

22:11

gives you a lot of momentum exposure a

22:13

lot you know you know unintended kind of

22:16

exposures that when people said I need

22:18

more economic sensitivity I'm taking up

22:20

my cyclicality right the three best

22:22

performing sectors kind of year to date

22:23

for most of the year have been like

22:24

energy materials industrials right right

22:27

stuff that people have kind of been

22:28

underweighted for the longest time

22:30

>> in the absence of a hot economic cycle

22:33

you know but also too when you started

22:35

seeing defensives join in that rotation

22:37

like it was this massive value

22:38

overgrowth trade and that's the three

22:40

four 5Z score types of moves that you're

22:42

talking about where people didn't have

22:43

that stuff on and your longs go against

22:46

you and your shorts go against you and

22:47

and that is also amplifying you know

22:50

these kind of moves because look it's

22:52

not just the market neutrals like

22:53

they're not boogeyman here they're

22:55

unbelievable they barely lose money ever

22:57

on a monthly basis they just have very

22:59

disciplined tight stops to to get out of

23:01

these leans and tilts

23:03

>> hard and fast unemotionally and but

23:05

guess what it's you know retail it's all

23:08

the story stocks all these themes that's

23:10

why I pointed out for the last two years

23:11

of the boom in leverage ETFs like 82% of

23:14

the assets in leverage ETFs which act

23:16

like synthetic negative gamma right the

23:18

higher you go the more you have to buy

23:19

at the end of the day the lower you go

23:21

the more you have to sell you know

23:22

massive pool of aum now because of like

23:24

retail you know tilted speculative

23:26

leverage behavior are tied into that

23:29

concentric circle of AI mega cap tech

23:32

semis you know disruptor crypto so we're

23:36

super overweighted super overindexed to

23:39

that stuff which amplifies when you have

23:42

the tight market neutral stopouts, you

23:44

know, with all that leverage with all

23:46

that AUM, you know, to get their factors

23:48

right because at the end of the day,

23:49

those guys are not trying to make factor

23:52

bets. There's scenarios where you maybe

23:54

run even a little net if there's like a

23:55

big, you know, economic reaceleration

23:57

trade or something like that. But

23:58

generally speaking, the idea is like we

24:00

don't want beta to the S&P. That's the

24:02

point. That's why people pay us. Stop

24:03

comparing us to S&P returns. So all

24:06

these things are part of this like

24:07

backdrop plus the narrative overshoots.

24:09

To me

24:10

>> that was fantastic and it's very

24:12

intuitive. I mean there is already good

24:13

theoretical ideas for thinking that the

24:16

multistrats

24:18

were huge drivers of all this. And then

24:20

when you add in the fact that the

24:21

staples like the sort of underloved

24:23

areas or energy materials are the

24:25

winners very intuitive to your point on

24:28

software you know no one really knows

24:31

obviously the degree to which AI is

24:33

going to obliterate these business

24:34

obiate these businesses no one really

24:36

knows but like from the perspective you

24:39

mentioned the tight stops that each

24:41

manager has within these firms. Can you

24:44

give us like some sense of how much is

24:46

it like look I just want to keep my job

24:50

here and this is the ugly stuff that's

24:52

going on and so I'm just going to sell

24:53

now and ask questions later. Like how

24:55

much does that play into on a week like

24:58

this?

24:59

Well, we're we're talking about wide

25:02

swaths of strategies and active, you

25:05

know, systematic versus, you know, field

25:07

directional trading. And, you know,

25:09

>> you know, tight stops are, you know,

25:11

typically that, you know, down 2% kind

25:13

of down one and a half% maybe even in

25:15

some cases. But you know that's why it

25:18

is managed so microscopically and you're

25:20

extracting these you know basis points

25:22

of alpha in your longs and shorts and

25:24

then you know using leverage like a you

25:26

know a market neutral is probably 200

25:28

300% gross by and large like long short

25:31

was always kind of like 50 net 150 gross

25:34

something to to that extent but they're

25:36

just not as big of a player anymore but

25:38

you know that's the trick here like when

25:40

I start seeing I always love the

25:41

systematic stuff because it's so tied in

25:43

it looks a lot like the options market

25:45

And market structure by and large feeds

25:48

momentum now, right? You're not scaling

25:50

out of positions the more they trend.

25:53

You're loading into them. So like

25:55

whether it's target volatility or CTA or

25:58

you assign a an exposure target you know

26:01

a leverage target and if the volatility

26:05

is five and your V target is 10 you got

26:09

to lever that two times or 12 you know

26:11

like and that is ironically the lower V

26:16

goes the more you need to add leverage

26:18

onto that position right to match your

26:21

target and that's why that's the problem

26:23

we create crashes because all of modern

26:27

anybody who's like on a VAR model is

26:29

actually a momentum trader, right? You

26:32

have to delever when V goes higher by

26:34

and large. Now, of course, if you have a

26:36

high conviction bet and V goes higher,

26:37

that's actually going to be part of your

26:39

potential return profile. You know,

26:40

that's great. And God knows people have

26:43

learned to like, you know, sell Rich V

26:44

and buy, you know, buy dips. It's become

26:46

conditioned. These time horizons are

26:48

like hours at this point. But like

26:50

>> some people have made an entire career

26:52

out of doing it once.

26:54

>> Yeah, for sure. And I mean, you got to

26:55

have a titanium stomach. Like I've been

26:57

talking to a buddy all week at a multi,

26:59

you know, this absolute madman and

27:01

there's many others like him. You know,

27:02

he's been shorting silver the last two

27:04

weeks. I'm like, "How you been sleeping,

27:05

dude?"

27:06

>> You know, he's like a little better now,

27:07

but you know, there's

27:08

>> the silver moves are unbelievable.

27:10

Yesterday was like 16. I mean, these

27:12

I've seen two people I've spoken to say

27:15

that the silver move specifically may

27:17

have been the crazy one of the craziest

27:19

moves they've seen their entire career.

27:21

>> It's crowding plus the trend plus the

27:24

optionality plus the leverage ETF. You

27:26

know, the optionality is leverage in and

27:28

of itself. And it's high beta, you know,

27:30

as is to regular, you know, big brother

27:33

gold. So, these moves are, you know,

27:36

wild. But we know that in the era of the

27:39

speculative era, you know, people seek

27:41

the movement. That's the opportunity.

27:43

You are not going to retire 4% in cash.

27:47

You know, that's just the way this world

27:49

works right now. Now, you know, do you

27:52

necessarily need to be like shorting V

27:54

or things like that? That's not the way

27:55

to do this. But people yolo. It's that

27:58

financial nihilism that we've spoken

27:59

about, you know, many, many times. You

28:01

seek out the movement. You want the

28:03

stuff that's moving. And generally

28:05

speaking, and this is where it's so

28:06

interesting, like you try to press moves

28:08

by and large, certainly like the retail

28:10

cohort, the world is not built the vast

28:14

majority of the time for mean reversion

28:16

anymore. Value is mean reversion. Like

28:18

something is rich, something is cheap.

28:19

It's this counter kind of like a gamma

28:21

type of a flow, you know, long gamma

28:23

type flow. we feed moves now because of

28:26

the riskmanagement dynamics and

28:28

especially too just like market

28:29

structure how much trend there is built

28:31

into the market leveraged ETFs options

28:33

things like that you know particularly

28:35

the way that people tend to use them

28:36

which is kind of to to feed into

28:38

prevailing moves

28:39

>> so all of this kind of changes the

28:42

behavior and the expected outcomes where

28:44

you know momentum has been you know this

28:47

remarkable factor

28:50

for you know academic history studying

28:52

these things because of like greed and

28:54

fear and things like that and moves can

28:56

extend longer than you think. Just

28:57

because a trade is crowded doesn't mean

28:59

it's the wrong trade. But when you start

29:01

to layer in, as I said, the positioning

29:04

data, the overall leverage data, the

29:06

kind of the conversational qualitative,

29:08

how many people are buying into this,

29:10

but then you see, you know, some like

29:12

divots here and there and like the story

29:13

and it doesn't actually make sense. And

29:15

actually, this thing is starting to

29:16

stall and now I got people taking money

29:17

out this thing and I got trend this

29:19

loaded into it. This is going to unwind

29:21

hard. And I sent that note Thursday, you

29:23

know, started unwinding hard. Friday,

29:24

doors got blown off. And guess what? It

29:26

waterfalls. So other crowded trades go.

29:28

Cosby, everybody was like, you know,

29:30

no-brainer into that. Japanese bank

29:32

longs, right, which are short JGB proxy,

29:34

macro tourism. Like people start coming

29:36

out of these trades because they're

29:37

noncore, but they were high sharp,

29:39

>> right? So flows before pros, but now the

29:43

pros are chasing flows and that's

29:46

hurting the bros. [laughter]

29:47

>> That was good. That's really good.

29:48

>> That's incredible.

29:49

>> Thanks. Um, okay. So you just touched on

29:52

this, but what stops the bleed?

29:55

>> I think you're, you know, you're getting

29:58

certainly some relief here. I mean,

30:00

look, people will say, you know, at some

30:02

point on a smaller growth,

30:05

you don't really have to do anymore. You

30:06

don't have to reach for hedges, which

30:07

get dealersh gamma, right? Because

30:09

you're you don't, you know, have as much

30:11

exposure anymore. That's the first step.

30:13

People then have to monetize their

30:15

hedges. It's the way all of these

30:16

reversals happen. you take off your

30:18

hedges or you take off your directional

30:20

stuff, whether you're shorting futures

30:22

against the moves or you're buying

30:24

downside puts, you're buying VIX calls,

30:26

you start to unwind that and guess what?

30:27

Like now the dealers got to take off

30:29

their stuff and you got delta to buy.

30:31

And then some people say, "Oh,

30:32

everybody's taking their hedges off

30:33

around the street. Market's starting to

30:35

rally off these lows. I'm going to buy

30:36

some zero DTE calls." And you know, then

30:38

you create more delta to buy.

30:40

>> We're back to the races.

30:41

>> And and and V starts, you know, V starts

30:43

rolling over and guess what? Then the

30:44

systematic the v supply people come out

30:46

of the woodwork and they feel

30:47

comfortable to come back in lean into

30:48

this and that's de facto by the dip

30:51

right so th this is the cycle and the

30:53

world that we live in there's too many

30:54

assets this is a final point that that

30:56

may be tangential here but with regards

30:58

to how these dynamics end it's not

31:01

necessarily about like back in the days

31:03

like Warren Buffett steps in you know

31:05

provides some you know financing line or

31:07

you know Toma Bravo stepping in doing

31:10

some like deal

31:10

>> Satoshi Nakamoto is calling up Warren

31:13

Buffett Yeah, I don't know if that's

31:14

pulling up David

31:15

>> offering 10% of uh

31:17

>> it's more about you know these flows

31:19

kind of stopping the bleeding but you

31:21

know this is the other thing too like

31:23

the V flows are so important with

31:25

regards to the like the hedge unwinds

31:26

and creating the turn in the market the

31:27

inflection especially with the

31:29

conditioning buy the dip sell the vault

31:30

rip that like fixed income has been

31:34

trash for five years since the

31:36

tightening cycle since you know poor

31:38

inflation still running too hot right so

31:41

people said Look, this thing doesn't

31:43

work for me. It's not helping my

31:44

portfolio. My 6040 is awful, right? But

31:48

I can't just be long equities, but I

31:50

need some yield. I'm I'm boomer. I'm

31:51

old. I need some, you know, some

31:53

enhancement, but I want equities upside.

31:55

And we've talked about this so many

31:56

times, and it's true, you know, because

31:58

the assets keep growing. All these yield

32:00

enhancement vehicles, all these income

32:01

vehicles, they're selling equity

32:03

optionality. So, your long underlying

32:05

equities, you cap that upside to a

32:07

certain extent, but you're generating

32:08

yield by selling options. That's the new

32:11

fixed income. And those flows matter

32:13

because those flows that when the kind

32:15

of the coast is clear, they just come in

32:16

and it's just Vegas supply and it just

32:18

smashes all back down.

32:20

>> Thank you so much for for coming on at

32:22

short notice.

32:23

>> It's 7 in the morning.

32:24

>> 7 in the morning. Thank you very much.

32:26

>> Midday.

32:27

>> Yeah. Midday.

32:28

>> Yeah. Your day's over, right?

32:31

>> Lots [music] more is produced by Dashel

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32:35

Brooks.

32:36

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Interactive Summary

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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