HomeVideos

The Market's Biggest Warning Signs Right Now with Todd Sohn | The Real Eisman Playbook Ep 66

Now Playing

The Market's Biggest Warning Signs Right Now with Todd Sohn | The Real Eisman Playbook Ep 66

Transcript

1688 segments

0:04

Hey, this is Steve Eisman and welcome to

0:06

another episode of the Real Eisman

0:08

Playbook. Today,

0:10

we're going to be talking to Todd Sohn,

0:12

who is the chief chartist at Strategas.

0:15

In the world of Wall Street, chartists

0:17

are like the video game of our world.

0:21

You look at the charts, and they really,

0:23

if you know how to look at them, tell

0:24

you what's going on in sectors, the

0:26

market, etc. We're going to have a lot

0:29

to talk about, and I'll be back

0:31

afterwards with some lessons learned.

0:38

Hi, this is Steve Eisman, and welcome to

0:39

another episode of the Real Eisman

0:41

Playbook.

0:43

So, I thought today would be a good

0:44

time, given how much has gone on this

0:46

year, is to take a step back and look at

0:49

charts and what charts are telling us.

0:52

And so, today we have

0:54

recurring guest, Todd Sohn, chief

0:56

chartist of Strategas. Hey, Todd,

0:57

welcome back.

0:58

>> Thank you. Always great to be with you.

1:00

>> So, before we even talk about any

1:01

charts, for the for those members of my

1:04

audience who are not as familiar with

1:06

charts as others,

1:07

what's the philosophy of charts? What

1:10

are you trying to learn? What are they

1:11

good for? What are they not good for?

1:13

>> The The old saying is picture tells a

1:14

thousand words. If you were stranded on

1:18

a beach island, let's just say for a

1:19

month,

1:21

maybe you're on vacation.

1:22

You come back, you need to figure out

1:23

what happened in the world in that last

1:25

month, you look at 100 different charts,

1:27

and you have the story right there. The

1:28

charts will summarize everything you

1:30

need to know

1:31

very succinctly, efficiently,

1:34

uh and they can also tell you when

1:35

you're wrong or you're right about

1:36

something. So, there it's a great great

1:39

great way to understand what's going on

1:40

across all sorts of different asset

1:41

classes.

1:42

>> So, let's start with some

1:44

individual stock charts, and then we'll

1:46

dig deeper into market stock charts,

1:48

which are kind of more intricate.

1:51

So, I'm looking at a chart, and we're

1:53

going to put this on the screen for

1:54

everybody, the semiconductor

1:57

ETF, which is the socks SOXX index. And

2:01

just to show everybody, you know, I'm

2:02

going to again we're going to put this

2:03

on the screen, but this is what it looks

2:05

like. And the charts are also going to

2:06

be in the attachments in the description

2:08

for for everybody to look at. So, this

2:10

is the semiconductor your

2:13

this piece of paper shows the chart

2:15

itself.

2:16

And then below there's a chart called

2:18

momentum. So, here's the chart. Tell me

2:21

what this is saying. And what is what

2:23

what is the momentum thing mean?

2:25

>> It's technically called RSI, relative

2:27

strength index. That's the fancy word in

2:28

the in the technical world.

2:29

>> that mean?

2:30

>> It's literally just measuring how fast

2:32

something is rising or falling, right?

2:34

How overbought or oversold is something.

2:37

It is a guideline. It's not a rule as to

2:40

what it says. Um, you know, what you can

2:42

you can try to gain some information

2:45

about it. You know, something reaching a

2:46

new high without being as overbought,

2:48

that can be a little bit of a warning

2:49

sign. Or something making a new low

2:50

without being as oversold, that can be a

2:52

a perhaps change of trend that the

2:53

pressure of selling is not as high.

2:55

>> is the semiconductor chart telling you?

2:57

>> This is a market about semis.

2:59

>> The market's all about semis.

3:00

>> Oh, yeah. Yeah.

3:01

>> Elaborate on that.

3:02

>> We have seen semis on a massive run,

3:05

especially since March 30th. We're going

3:06

on almost 3 months of that.

3:08

Uh, we talked about last time. They're

3:10

18% of the S&P 500 now, going on 19%.

3:13

>> And where were they

3:14

10 years ago?

3:15

>> 2%. Amazing, right?

3:17

>> It's amazing. 2% to 18-19%

3:20

in 10 years.

3:21

>> So, you have a group here

3:24

and we're using SOXX the ETF. There can

3:26

be other semi and conductor ETFs.

3:28

They're all going to be weighted

3:29

differently. This one's the probably the

3:30

most even footed. You're not weighted

3:32

too much towards Nvidia or whatnot.

3:33

Super overbought, perhaps consolidating,

3:36

maybe a little bit of a crescendo as we

3:37

just had big IPO and some earnings.

3:40

Um, but nonetheless, they are in charge

3:42

of the market right now.

3:44

>> So, the market

3:46

for lack of a better term, lives and

3:48

breathes

3:49

by this index.

3:50

>> Yeah.

3:51

>> If tomorrow if something happened and

3:53

this index

3:55

I'll just going to make this up

3:55

collapsed.

3:56

>> Right.

3:57

>> By definition the market would collapse.

3:58

>> Yes. In on the surface indices would be

4:01

very weak, right? Maybe there's

4:02

something internally that's going on

4:04

different, you know, you rotate away

4:05

from semis, but on the surface for index

4:08

based investors you will feel that pain.

4:10

>> Okay. Software.

4:12

Maybe this is the inverse of the stocks

4:14

has has been. Tell us what This is the

4:16

software ETF.

4:18

>> Right.

4:19

>> What is this telling you?

4:21

>> A little messy.

4:22

Um could I make the case the worst is

4:25

past for software stocks.

4:26

>> Well, the stocks have done generally

4:28

terribly throughout the last year.

4:30

>> Yes. They have been a rough year.

4:31

>> had a rally.

4:32

>> Had a nice little rally.

4:34

Um in the technical world they have what

4:36

I would describe as mean reverted back

4:37

to some moving averages, you know, your

4:39

200 day, your 50 day.

4:41

Um

4:42

it's not something I feel great about,

4:44

right? If you want to take a flyer on

4:47

them, you got to respect your stop loss

4:48

levels. That's totally the way I'd go

4:49

for software stocks going forward.

4:51

>> So this chart is is not telling you it's

4:54

time to buy.

4:55

>> Yeah.

4:55

>> It's told you it was at a mean reverted

4:57

back to a lower level.

4:59

>> A a reprieve.

5:00

>> A reprieve.

5:01

>> from very negative sentiment.

5:03

>> Oversold.

5:04

>> Oversold negative levels, right?

5:06

>> But it's not telling you this is a great

5:08

buy.

5:08

>> Do I think it's

5:10

as what is defining as semiconductors?

5:12

No. No. Could it be a great buy?

5:14

Absolutely. I look at something like

5:15

this, software, where it's a little bit

5:17

of a mess and it's a great use of the

5:18

options market where I can structure a

5:20

trade

5:21

and I'm going to pay my premium, however

5:23

it is, and that's my risk.

5:25

>> And that's it.

5:26

>> That's it.

5:27

>> So you're not a buyer of the group,

5:28

you're a you're a speculator.

5:30

>> Where I can only lose certain amount.

5:32

>> Yeah. Yeah.

5:32

>> Okay. Got it.

5:34

GEV. One of my favorite stocks. I've

5:37

owned this stock for very, very long

5:38

time. My viewers know that. This is GE

5:41

Vernova, the power company.

5:43

>> The power story.

5:44

>> The power story.

5:45

>> And this ties in somewhat to the

5:47

semiconductors, right? They're all kind

5:48

of the same.

5:49

>> of the same

5:51

neighborhood.

5:51

>> If you showed me this ticker, this chart

5:54

without any without telling me what the

5:55

ticker was, I would tell you it's going

5:57

to be a buy pretty soon, right? You have

6:00

a great trend, you got very overbought.

6:03

Uh and now you're just consolidating,

6:04

you're re-earning some profit taking.

6:05

>> And when you say it was overbought, is

6:06

that when the momentum momentum thing

6:08

over here is above the red line.

6:11

>> Exactly.

6:11

>> Okay. That was overbought, and so the

6:13

stock has had a little bit of

6:15

>> Yeah, it'll come down here. I think

6:16

expectations for power and

6:17

semiconductors

6:17

>> still think the chart looks good.

6:19

>> Yeah, for now, in its current state,

6:21

yeah. It's it's one that you would

6:22

suggest as buyable. Now

6:24

it's just a matter of you know, what's

6:26

the next catalyst to take it higher. Is

6:27

it more CapEx? Is it earnings? You name

6:30

it.

6:31

>> Big tech.

6:32

Amazon.

6:34

>> Okay.

6:34

>> think this chart looks so great.

6:36

That and I know nothing.

6:38

And I own Amazon, so I wish it looked

6:40

good, but this doesn't look so great.

6:42

>> lot worse charts out there.

6:44

Granted, but there's a lot better

6:46

charts, too. I think it's pretty middle

6:48

of the road.

6:49

>> A two out of a one, two, three.

6:52

>> Yeah. Yeah, totally middle of the road.

6:54

Can I make the case

6:55

Again, I think it's a similar one where

6:57

you play options on this, you know, do a

6:59

a straddle. I'm not really an options

7:00

expert, but

7:01

if you're skeptical on whatever their

7:03

business is, buy some puts. If you think

7:04

that this thing can rebound as it tests

7:07

the middle of the range, call options

7:09

again.

7:09

>> So, it's you call this call this chart

7:11

an eh.

7:12

>> Yeah, no strong opinion.

7:13

>> Okay.

7:13

>> All right.

7:14

>> Now, here's a

7:16

maybe more important name in some ways.

7:19

Meta.

7:20

>> More much more messy.

7:22

>> Talk to me about this chart. What is

7:23

What is this chart showing you?

7:24

>> I will admit I was have been skeptical

7:27

this

7:28

>> Skeptical of what?

7:30

>> Of the stock, of the chart

7:33

a few times over the last decade. And

7:35

it's always come back.

7:37

Right? I remember in 2022 I was like,

7:39

"Oh, this thing's done." You know, it

7:40

was down 60, 70 maybe from its high. I

7:42

don't I don't remember.

7:43

Like there's no way this is getting back

7:44

to now. It came right back. In its

7:46

current shape, not great. It looks more

7:48

like a short.

7:50

>> So, what I just when the viewers look at

7:53

it, when they'll look at this chart,

7:55

like like what is it about this chart

7:58

that tells you this is bad?

8:01

>> So, there's a couple of tells.

8:02

>> Okay.

8:02

>> Right. One, you have a market that is

8:05

making a new high. S&P 500, equal S&P

8:07

500, small caps are making new highs.

8:08

This is not made a new high in months.

8:10

>> Months.

8:11

>> tell number one.

8:12

>> Right.

8:12

>> Tell number two is we really like to

8:14

work off of the slopes of moving

8:17

averages. Everyone uses a 200-day moving

8:19

average. That's just kind of been the

8:21

the the bible

8:22

>> the bible of

8:23

uh charts.

8:25

When the like GEV, the slope of the

8:27

200-day is rising. Tells you the

8:29

market's the the trend is higher.

8:31

On a name that might be in an

8:33

unfavorable group, the slope of the

8:35

200-day would be going down.

8:36

>> Okay.

8:37

>> When you start to see it flatten out and

8:38

roll over, that's usually a tell of a

8:40

vast something's changing or the trend

8:41

of that name is changing.

8:43

>> 200-day moving average is beginning to

8:45

slope downward.

8:46

>> it's flat to downward, which tells you

8:49

something's different. Uh and there's no

8:51

great edge. I'm very curious to see how

8:52

that one plays out, especially compared

8:54

to its peers.

8:55

>> Oracle.

8:58

This is a weird-looking chart.

8:59

>> Yeah.

9:00

It's like software. I mean, it's it is

9:02

software.

9:03

Um where I can make again make the case

9:05

the low might be in, but you have to

9:06

respect it.

9:08

Um would I take a flyer on it? Perhaps,

9:10

but I think there's a lot of better

9:11

opportunities out there as well from,

9:13

you know, whether it's hardware, semis.

9:15

>> And is the 200-day moving average

9:16

rolling over in Oracle?

9:18

>> it also is rolling over. It's downward

9:19

to to flat, which again reflects messy.

9:22

>> Messy.

9:23

>> And messy is super frustrating,

9:24

especially in a market that is making a

9:26

new high.

9:27

>> Right.

9:27

>> Right. It's really hard.

9:29

>> what's the matter with me that I own a

9:30

stock that's messy when the market's

9:31

going up? It's frustrating.

9:33

>> you're going to have you're going to

9:34

frustrate yourself, and there's nothing

9:36

enjoyable about that while everything

9:37

else is rising.

9:38

>> All right, let's talk about another

9:39

iconic name. This is fun. This is fun by

9:42

the way.

9:42

>> [laughter]

9:43

>> Just for our viewers understanding on

9:45

Wall Street, this is our version of

9:46

video games.

9:47

>> Oh, yeah, totally. Listen, the most

9:50

useful exercise I do, Chris Perrona

9:53

does, even Jason Trennert at Strategas

9:55

is print out 100 stock charts.

9:58

>> S&P 100.

9:59

>> Not even a day, a week, whatever. It's

10:01

like a homework assignment. Print them

10:01

out, just look through them.

10:03

>> And and figure out what's going on.

10:04

>> And you can get the message of the

10:06

market so quick.

10:07

>> Yeah.

10:08

>> Say, all right, these stocks are going

10:09

down, these ones are going up, or the

10:10

whole market's a mess.

10:12

>> Microsoft. What is this chart?

10:14

>> Similar position as Meta, if not weaker.

10:16

>> If not weaker.

10:17

>> Yeah, you're you're already almost

10:19

retesting the lows from earlier in the

10:21

year, what in the spring, in April.

10:22

Right.

10:23

Which to me, that's a little bit of a

10:25

red flag.

10:26

>> That's a red flag. Okay.

10:27

>> Is the bar low for it? Maybe, but again,

10:29

it all goes back to the

10:31

Yeah, it's all it's it's ugly compared

10:32

to again a market that's making a new

10:34

high.

10:34

>> Right. Google.

10:36

>> Different story.

10:37

>> Different story.

10:38

>> One that

10:39

A got very extended, super overbought.

10:41

Think about you run a mile in 4 minutes,

10:43

you're exhausted. You take some some

10:45

money off the table and revisit. It will

10:48

likely be viable, I would guess.

10:50

>> Okay.

10:50

>> That And if you just compared on one

10:52

screen, Google, Alphabet, whatever you

10:54

want to call it,

10:55

Meta, Microsoft, you'd have Google would

10:57

be the contrast there.

10:59

>> Google has the best chart.

11:00

>> Yeah.

11:00

>> Of those big names.

11:01

>> Of those big names, yeah. I mean, it's

11:02

it's most similar to GE V.

11:04

>> Yeah. And I and I, you know, they're

11:06

probably

11:07

in cahoots together, right?

11:09

>> Well, I'm sure they are.

11:09

>> power in the AI of Google.

11:11

>> All right.

11:11

So, that was fun. Let's Now, those were

11:13

the ones that I actually asked you to to

11:15

print out to give me for individual

11:17

stocks, cuz that's what I wanted to do.

11:19

Let's Then you have the book.

11:22

>> Oh, yeah.

11:22

>> Okay. So, before we get through go

11:24

through the book,

11:27

give me a summation of the book.

11:29

>> So, the book is about how you can use

11:32

ETFs to invest what we're seeing in the

11:36

markets through the lens of ETFs. ETFs

11:38

are a great measurement of investor

11:39

behavior, right? I can see flows,

11:42

volumes, and product launches every

11:44

single day.

11:45

And they are becoming more and more

11:46

ingrained in the market. On an average

11:48

day, ETFs will do about 30% of volume.

11:51

>> Say that again.

11:52

>> ETFs will do about 30% of US exchange

11:55

volume on a given day.

11:57

>> So, in other words, total trading volume

11:59

>> Yeah.

11:59

>> stocks and ETFs is basically the

12:01

summation of all the all the trading

12:03

volume.

12:04

>> On a daily basis, ETFs are 30% of the

12:07

total.

12:08

>> Yes.

12:08

>> And stocks are the remaining 70%.

12:10

>> Correct. That's growing.

12:12

And then during more stressful

12:13

environments when everyone's freaking

12:14

out, they'll go up to 40 to 45% cuz

12:16

people are adjusting exposures. I see.

12:18

So, they're just great tools.

12:20

>> tech and they're buying staples or

12:21

whatever.

12:22

>> whatever it may be. Could be used for

12:23

hedging, shorting, whatever it might be.

12:25

So,

12:26

along with building charts, I handle all

12:29

of our ETF research at Strategas as

12:31

well. And so, I want to tell folks how

12:33

they can There's 5,000 of them, right?

12:35

How can we

12:36

>> ETFs. How many stocks are there?

12:39

>> Less than that.

12:40

>> There are more ETFs than there are

12:42

stocks.

12:42

>> still more mutual funds than ETFs, but

12:44

>> Right. But, they're they're they're

12:46

they're kind of passe.

12:47

>> They're yeah, they're kind of on their

12:48

way out.

12:49

>> Okay.

12:49

>> So, I just want to always provide what

12:52

ETFs you can look at and all sorts of

12:54

different information. I think the most

12:56

interesting thing right now is this boom

12:58

in leveraged ETFs.

13:00

>> Okay, so explain to my viewers what's a

13:02

leveraged ETF.

13:03

>> So, a leveraged ETF

13:05

gives you, depending on the fund, two to

13:08

three times the exposure of an asset,

13:10

underlying asset.

13:11

>> So, if I'm

13:12

let's say let's let's pick a stock,

13:14

Nvidia. I'm picking a single stock.

13:18

So, if if I buy a two times

13:22

Nvidia ETF,

13:24

>> Yes.

13:24

>> on a day where it's in theory where

13:26

Nvidia goes up 2% my ETF goes up 4%.

13:30

>> Correct. That's what it's supposed to

13:31

do.

13:32

>> to do.

13:32

>> Now remember it's only on a daily basis.

13:35

>> This is not

13:36

>> From point to point it doesn't

13:37

necessarily do that.

13:38

>> There can be some slippage. You know,

13:40

there's also fees embedded into the fund

13:42

that you're going to pay over time.

13:44

>> Okay.

13:45

>> And it's meant to be again daily. These

13:47

are not buy and hold instruments.

13:48

>> Right. It's a trading vehicle.

13:50

>> Yeah. And so that space is absolutely

13:52

booming. We just had a whole bunch of 2X

13:55

space ETFs launch today.

13:57

>> Two times a SpaceX.

13:59

>> Yep. Already.

14:00

>> Already.

14:00

>> So I have to imagine those are going to

14:01

be really popular.

14:03

>> Okay.

14:04

>> That's a $200 billion category by the

14:06

way.

14:07

>> $200 billion category.

14:08

>> Leveraged ETFs.

14:10

>> Up massively since 2020.

14:12

>> All right. So let's go through this

14:13

book. You got

14:14

this we'll start from the beginning.

14:15

There's a chart here. High beta and top

14:17

decile, low vol and bottom decile. Is

14:20

that ETFs or just stocks?

14:22

>> These are stocks. So this So this chart

14:24

it's a little complicated. It's the

14:25

rolling one-year performance of the beta

14:27

factor, right? Of high beta stocks

14:30

relative to low beta stocks.

14:31

>> So for viewers to know

14:33

what beta means is if the market goes up

14:37

1% in a day and a stock has a one one

14:39

times beta

14:41

that means it goes up 1%.

14:42

>> Correct.

14:43

>> if it's like Nvidia where it's almost a

14:45

two times beta on a day when the market

14:47

goes up 1% Nvidia generally go up 2%.

14:50

>> Right.

14:50

>> That's what beta is.

14:51

>> Yeah.

14:52

>> And Nvidia is a high beta stock.

14:54

Semiconductors

14:55

>> are high beta stocks.

14:56

>> Staples are low beta stocks. Exactly.

14:59

And so the performance of say semis

15:02

versus staples has gotten to

15:04

historically extreme territory.

15:05

>> In other words, semis are up a gazillion

15:08

and they and [laughter] and staples are

15:10

barely up at all.

15:10

>> Staples have been forgotten. They're 4 4

15:12

and 1/2% of the S&P.

15:14

>> It's amazing.

15:14

>> And so the point of this chart is not to

15:16

say, "Hey, sell everything." cuz it's

15:18

Listen, it's still a bull market.

15:20

But be aware that beta is getting

15:21

extreme. Low vol, on the other hand, is

15:24

an extreme underperformance and maybe

15:25

you should think about

15:26

>> mean?

15:27

>> It's basically looking at volatility

15:30

rather than beta. They're kind of the

15:31

same. They're They're They're They're

15:33

cousins.

15:33

>> Okay. So, high beta working versus low

15:36

vol is another way of saying tech is

15:38

working and and staples is not working.

15:40

>> are not.

15:41

>> are not.

15:42

>> And that's what's also reflected on this

15:43

chart here.

15:44

>> Okay. And this chart is similar scenario

15:46

at the sector level. What does this

15:47

chart telling me?

15:48

>> This is the rolling six-month

15:50

performance of sectors relative to the

15:52

S&P.

15:52

>> Okay.

15:53

>> And I equally weighted it, too, just to

15:54

put everything on an even footing.

15:55

>> Okay.

15:56

>> And the point is to say tech has done

15:57

great. We know that. If you're there,

15:59

stay there.

16:01

But if you're looking for stuff to hedge

16:02

tech, look in healthcare, discretionary,

16:05

financial,

16:07

yeah.

16:07

>> just people are wondering

16:09

what is the next move? Right, because

16:11

we're so used to this AI

16:14

and power theme that's been going on and

16:18

on and on.

16:18

>> Right.

16:19

>> Investors are looking for other stuff to

16:21

buy.

16:21

>> Page seven, you have a chart here that

16:23

says ETF This is a very

16:26

>> [laughter]

16:26

>> um What's the right word for it?

16:28

>> Could be aggressive.

16:29

>> Catches your eye.

16:30

>> Oh, yeah.

16:30

>> Says ETFs are the market. What does that

16:34

mean? And it's it's showing

16:36

cumulative ETF flows versus cumulative

16:39

mutual fund flows.

16:40

>> Yeah.

16:40

>> What does this tell us?

16:41

>> This is the chart why I think everyone

16:42

should be paying attention to ETFs.

16:45

It is the cumulative flows of both

16:47

vehicles since 1984. Now, ETFs didn't

16:49

exist

16:49

>> ETFs versus mutual funds.

16:50

>> Yeah. How much money's going in and out

16:52

>> Right.

16:52

>> on a monthly basis.

16:53

>> Now, ETFs started when?

16:54

>> 93. Technically, the first 10 years of

16:56

this chart, there's no data, but that's

16:58

just to make it pretty.

16:59

>> And I understand.

17:00

>> The whole point is that

17:01

>> for the first 10 years of this chart, it

17:02

was at zero.

17:03

>> [laughter]

17:04

>> Mutual fund flows peaked uh almost 8 9

17:09

years ago, cumulative flows.

17:11

>> Cumulative flows. What do you mean by

17:12

cumulative?

17:13

>> Just adding up month by month.

17:14

>> So, if it's gone down, does that mean

17:16

mutual funds are in outflow?

17:17

>> Outflows.

17:18

>> Are in outflow.

17:18

>> So, the point of this chart is that

17:20

mutual fund flows on a cumulative basis

17:22

are now negative since 1984. The vehicle

17:25

still exists. It's great for

17:26

>> that again. So, in other words, from 19

17:28

If you take a look at the cumulative

17:30

flows

17:31

>> Yeah.

17:31

>> into mutual funds from 1984

17:35

to today, and you added all up,

17:38

>> Yep.

17:39

>> that number is now negative.

17:40

>> Correct.

17:41

>> That's a stunning statement.

17:42

>> right?

17:43

>> That's a stunning statement.

17:45

>> It's

17:45

>> The only reason why mutual fund assets

17:48

are where they are is because of the

17:49

market.

17:50

>> Yeah. If we had a

17:51

>> If we had a bear market, they'd be in

17:53

deep

17:53

>> or just be disaster. Or just a market

17:55

that didn't go up as strong as it did,

17:57

it would be the asset management

17:58

industry would be in trouble.

17:59

>> Right. Okay. Wow.

18:01

>> It's all the money's going to ETFs.

18:02

>> It's all the money's going to ETFs of

18:04

all various kinds.

18:05

>> Totally.

18:06

>> Right.

18:06

>> Core, you know, passive, active,

18:08

levered.

18:09

>> Right. Got it.

18:10

>> This is This is pervasive.

18:12

>> So, this this talks about daily ETF

18:15

volume as a percentage of total US

18:17

exchange volume. What does this tell us?

18:19

>> That was what we were talking about

18:20

before, how on a given day

18:22

>> Give it 30%, and then during more

18:23

stressful environments, it tends to

18:25

rise.

18:26

>> Yeah. As people adjust positions, you

18:28

know, portfolios, and whatnot.

18:30

And now, this is the sequel

18:32

to the chart just before on flows, and

18:34

it's most of those outflows are coming

18:36

from actively managed mutual funds.

18:39

They have some

18:39

>> Most of the outflows that we saw on on

18:41

the thing before,

18:43

so this is negative 5.1 trillion

18:45

cumulative

18:46

>> Yep.

18:46

>> negative outflows all from actively

18:49

managed equity funds.

18:51

>> Yeah. Tough go.

18:51

>> Wow. Not not an easy place to be at T.

18:54

Rowe Price.

18:55

>> No, but the good news is there's money

18:57

going back to actively managed ETFs now.

18:59

>> Actively managed ETFs?

19:00

>> Yeah. Yeah. So, they have They have

19:01

audibled.

19:02

>> Cuz they're cheaper.

19:03

>> They're cheaper. They're transparent.

19:05

You get exposure to almost anything you

19:07

want now.

19:08

>> Right. Okay.

19:09

>> It's just a better vehicle.

19:10

>> Got it. So, let's talk about this chart.

19:13

This says this is S&P 500 percentage

19:16

exposure and it says at the top tech

19:18

nearing 40% of S&P. I actually looked

19:20

this morning before I came in it was the

19:22

it infotech was 38%.

19:24

>> But yeah, came in a little bit. It's

19:25

okay.

19:26

>> Right.

19:26

>> It's okay. Story remains the same though

19:28

that

19:30

very popular indices are becoming more

19:32

and more dominated by tech. And that's

19:33

great. We've all benefited if you've

19:34

been long that index or that ETF

19:36

tracking the index.

19:37

>> Right.

19:37

>> You benefit from it.

19:39

Uh but I also think it's a great time to

19:40

look under the hood and understand how

19:42

much exposure do I have to a certain

19:43

coordinate names.

19:44

>> Okay. So, what So, elaborate on that.

19:47

>> So, if I own the S&P 500, if I own

19:50

Russell 1000 Growth, if I own a thematic

19:53

fund, I have a lot of Nvidia, Microsoft,

19:56

Meta exposure.

19:58

>> Exposure.

19:58

>> Cuz they all

19:59

>> Cuz they're so big.

20:00

>> They're so big. Most of the funds are

20:02

market cap weighted.

20:03

>> Right.

20:04

>> they inevitably end up at the top.

20:06

Again, it's worked out well, very well.

20:08

Made a lot of wealth. But But

20:10

>> But you're very exposed to tech.

20:11

>> You are so exposed. And so, you get a

20:13

day like what was it last Friday Friday

20:16

where there's an unwind and that's

20:17

painful. It's only one day.

20:19

>> What you're basically saying is people

20:21

think that if they own an index like the

20:23

S&P,

20:24

>> Yeah.

20:24

>> they're very broadly diversified. When

20:27

in fact, what has happened is because

20:28

tech is such a huge percentage of the

20:30

S&P, you're really not diversified.

20:33

>> And And here's the other angle. The the

20:35

pushback I get is oh okay, what about

20:36

international?

20:37

You know, Korea's two stocks, Italy's

20:40

three banking stocks.

20:41

Yes, those are more concentrated.

20:44

But the amount of money tracking the S&P

20:45

is far far far larger than Italian

20:48

stocks. Right? How much of your

20:49

portfolio is in Italian stocks and

20:50

Korean stocks? Pennies compared to the

20:51

US. That's why this matters.

20:53

>> Okay. I got it. So, basically the

20:55

message is

20:57

you own an index, but don't think you're

20:58

diversified because you own the index.

21:01

>> They're becoming less diversified.

21:02

>> Right. Cumulative sector ETF flows since

21:06

March 30th S&P 500 low.

21:11

I know what this is saying, but tell my

21:13

viewers what it's saying.

21:14

>> So, this is an extraordinary chart.

21:17

>> Listen, flows are investor behavior. All

21:19

right, you can measure investor behavior

21:20

with the video surveys, anecdotal

21:22

questions.

21:23

>> But, what they're actually buying is

21:24

what they're what they're doing.

21:25

>> literally what they are doing.

21:27

>> So, what this says to me is if if

21:30

the tech

21:31

the cumulative flows since March 30th

21:34

are up and to the right

21:36

>> Yep.

21:36

>> and everything else is flat-lined. Like

21:38

like no no demand. Nothing.

21:40

>> 27 billion into tech ETFs, give or take,

21:43

since the March 30th low.

21:45

>> Right.

21:46

>> Take all the other sectors and add them

21:47

up, minus 4 and 1/2 billion or so.

21:50

>> 27 billion have gone into tech ETFs

21:52

since the March 30th low

21:54

>> Yep.

21:54

>> and negative 4.4 billion into every

21:57

other sector combined.

21:58

>> Exactly.

21:59

>> So, basically

22:01

there's been one game.

22:02

>> One game.

22:02

>> One game and that's it.

22:04

>> Tech.

22:04

>> And really and really within tech, if

22:07

you take out software, because that's

22:10

been a real problem, it's really

22:12

semiconductors and equipment.

22:14

>> Yeah. So semis and hardware.

22:16

>> And hardware. And any type of hardware.

22:18

>> So, I I just and I this pairs off nicely

22:20

with the chart before on their weight.

22:22

Like it's just all in on tech right now.

22:23

This tech is the story.

22:25

>> By the way

22:27

God forbid anything bad happens here,

22:30

it's going to be a a disaster.

22:31

>> don't know. I don't know this

22:33

it

22:33

it it it it it

22:34

>> not predicting that. I'm just saying

22:36

given how the the tech is such a huge

22:38

percentage now of the S&P, if the if

22:41

there is an unwind in tech, it's going

22:43

to be ugly.

22:44

>> Yeah. Yeah, it comes in spurts and then

22:46

it rebounds, which is fine.

22:47

>> Right.

22:48

>> Um yeah, you just want to be prepared.

22:50

>> What does this mean, this chart? Factors

22:52

are loaded up on technology, too.

22:53

>> So, this goes back to the

22:55

diversification standpoint. Clients,

22:57

friends, whoever. Let's say, "Okay, I'm

22:59

going to buy the quality factor ETF."

23:02

And there's a bunch of that.

23:03

>> Quality factor ETF. David, what what's a

23:05

factor?

23:06

>> A factor, instead of measuring a stock

23:09

by how big it is, is measuring it by

23:11

characteristics. Right? You think in

23:12

sports, um,

23:14

baseball, what's their batting average,

23:15

what's their slugging percentage.

23:16

>> How many factors are there? Give us list

23:18

of some factors. Give me like the big

23:20

ones.

23:20

>> Value, quality, momentum,

23:23

profitability would be part of that,

23:24

free cash flow.

23:25

>> So quality would mean what?

23:28

>> Does it have low debt? Right? High ROE,

23:32

good return on investment,

23:34

good, you know, not too high on the

23:35

valuation side.

23:36

>> Okay, is it

23:37

>> Is it well-run business? Now, listen,

23:39

I'm not a fundamental [clears throat]

23:40

analyst, that's also

23:40

>> Yeah, yeah, yeah. Okay, so what is what

23:42

is what is this talking about here?

23:43

>> Folks say, all right, I'm going to buy

23:44

quality cuz they're good companies and

23:46

they'll weather a downturn.

23:47

>> Right.

23:48

>> Right? Lower vol. The problem is some of

23:50

the quality ETFs out there are mirroring

23:52

the S&P now because S&P has kind of

23:54

morphed into a quality index.

23:55

>> What do you mean it's morphed into a

23:56

quality index?

23:57

>> companies at the top

23:59

have Well, they had so much free cash

24:01

flow, they would be labeled as quality.

24:03

>> Oh, because so Nvidia, because it's

24:04

swimming in cash, is not just tech and

24:07

momentum, it's also quality.

24:08

>> Yeah, yeah, according to some

24:09

>> According to these parameters.

24:11

>> you're just adding more of the same on

24:13

the on the top.

24:14

>> Okay, so people will think they're

24:15

buying an ETF quality, which gives them

24:17

diversification.

24:18

>> It's Yeah, it's not If you rip open

24:20

what's in the ETF,

24:21

>> it's all the same stuff.

24:23

>> to look under the hood. So, that's one

24:24

problem there. And you see momentum,

24:26

too.

24:27

Momentum factor could be full of semis.

24:29

>> Right.

24:30

>> So, you're just adding more and more of

24:31

the same.

24:32

>> So, leverage ETF usage, according to

24:36

this charge, is at a record.

24:37

>> Yep.

24:38

>> And that make you nervous?

24:41

>> It does.

24:41

>> Explain. [snorts] So, the leverage ETF

24:43

is what we were talking about, like

24:44

Nvidia two times.

24:46

>> Two times.

24:47

>> two times.

24:48

>> Correct. There's, um, so there's roughly

24:50

200 billion in assets across a few

24:53

hundred products now. There's been a

24:54

proliferation of them cuz it's a very

24:56

profitable business. You can charge 1%

24:57

on the ETF.

24:58

>> Really?

24:59

>> Yeah, good good good fee business.

25:00

>> That's a good fee business.

25:01

>> And what has happened is I think since

25:03

COVID

25:05

these products have been discovered. You

25:07

do not need a margin. You can do it on

25:09

your phone, on your brokerage account.

25:10

>> Oh, so this is a way to do the same

25:12

thing of options except

25:14

>> Yes.

25:15

This is not margin.

25:16

>> This is This is It trades as a stock.

25:19

>> A stock one-click solution. Buy 2x

25:22

whatever Tesla, 2x SpaceX, 3x

25:24

semiconductors. And so the volume of

25:25

this, called the usage rate, is huge. It

25:27

is huge. It is It is stair-stepping

25:30

higher.

25:30

>> And this is So this this is I this would

25:32

make me nervous.

25:33

>> It makes me a little nervous. Yeah, and

25:35

well, the other part

25:36

of which if you had a a derivative

25:38

specialist here, you know, one of our

25:40

guys at Strategas or something,

25:42

they would tell you that because these

25:43

funds rebalance at the end of every day

25:45

to reset that to a daily exposure, it's

25:47

adding more volatility into the market.

25:49

So on days when a stock with leverage is

25:51

up, they have to buy more to reset the

25:53

leverage. So that's why you can see some

25:55

some serious volatility on certain days.

25:58

>> So this chart says levered single stock

26:00

activity continues to stair-step

26:03

higher.

26:04

>> Yes. Okay, so

26:05

>> provocative that title.

26:06

>> [laughter]

26:06

>> Very provocative. What

26:07

>> That's what What does that mean?

26:08

>> That's what we do in sell-side research.

26:10

>> We try to be provocative. I learned that

26:12

from Jason. Got to be provocative, you

26:13

know. Tell the story.

26:14

>> taught it to Jason.

26:15

>> [laughter]

26:16

>> Okay, so So we were just talking about

26:17

the levered space.

26:18

>> Yeah.

26:19

>> The subset of that is now levered single

26:21

stocks. Those did not exist until

26:23

>> Levered single stocks.

26:24

>> Levered space was always on.

26:26

>> So these are basically ETFs of a single

26:28

stock. Like I was saying Nvidia two

26:30

times.

26:31

>> These didn't exist

26:33

until 2022.

26:35

The ETF was

26:35

>> This did not exist until 2022.

26:37

>> a newer

26:38

>> This is a newer game.

26:39

>> newer game and you're starting to see it

26:41

really being endorsed.

26:42

>> So before 2022, if you were playing a

26:44

levered thing, you would you could do

26:46

two times the stock the SOX index.

26:49

>> Yeah, yeah, an index, a the

26:50

>> Some index.

26:51

>> Yeah.

26:51

index, whatever.

26:52

>> Correct.

26:53

>> So, now you can do levered on individual

26:55

stocks.

26:56

>> There's hundreds of them.

26:57

>> Hundreds of them.

26:58

>> Like and you're getting smaller and

27:00

smaller on the market cap of the names

27:02

with leverage on them. You know, it's

27:03

kind of like a lotto ticket.

27:04

>> Like give me an example of the new one.

27:07

>> One of the quantum names.

27:08

>> One of the quantum names. Okay. Space.

27:11

>> space. Space. No, not SpaceX. I'm

27:12

talking like the really small space

27:14

ones.

27:14

>> Okay. [laughter] All right. So, things

27:16

are Whatever thing you're telling me is

27:17

things are getting frothy.

27:18

>> And I personally think so, but who

27:20

knows? Who knows? And retail Again, they

27:24

>> They love this.

27:24

>> They can they can go on Robinhood or

27:26

their brokerage and just buy it. They

27:27

don't need a special account.

27:29

>> Right.

27:30

>> As long as you understand how they work.

27:31

>> All right. So, here's something else

27:33

that you put out that I find

27:34

interesting. Chasing single themes can

27:37

be detrimental.

27:39

>> Yeah.

27:39

>> What does that mean?

27:40

>> So

27:41

>> and then it says thematic ETF universe

27:44

percentage drawdown versus volatility.

27:47

This is a complicated busy chart. What

27:49

does it say?

27:49

>> It's complicated. My apologies for that

27:52

one.

27:53

So

27:54

in the ETF world, right? You have your

27:56

core exposures, S&P, bonds, small caps.

27:58

>> QQQ.

27:59

>> QQQ.

27:59

>> SOX.

28:01

>> And everywhere happens is folks

28:02

complement that with thematic funds.

28:05

Thematic funds blur the line between

28:07

sectors. You think about uh natural

28:10

resources, energy materials.

28:12

>> Right.

28:12

>> Nuclear stocks, cybersecurity.

28:16

Could have tech and communications or

28:18

industrials in there.

28:20

Um space is the newest one of of a

28:22

theme.

28:24

>> So, you could have a theme where the

28:26

stocks in the ETF

28:29

are in more than one sector.

28:30

>> Yeah, exactly. It's meant to

28:31

>> Because it's multiple themes.

28:32

>> Yeah, and people like to add those cuz

28:34

it's adding to a portfolio, but it's

28:37

also reflective of performance chasing.

28:38

The amount of times you see a single

28:40

theme get hot and all of a sudden

28:41

there's massive flows into it. It's

28:43

reflective of herding behavior.

28:45

>> Okay. So, why is it saying chasing

28:46

single themes can be detrimental?

28:48

>> So what this chart is showing you is the

28:49

three-year drawdown for all the thematic

28:52

funds that are out there.

28:53

>> What do you mean drawdown?

28:54

>> How much they've declined, the most they

28:55

declined at one point over the last 3

28:57

years.

28:57

>> Okay.

28:58

>> Versus their volatility.

28:59

>> Okay.

28:59

>> They're very volatile and they can go

29:01

through substantial

29:02

>> ETFs are very volatile.

29:03

>> Super volatile and they they can decline

29:05

by 50%.

29:07

>> Well, this says the average 3-year

29:08

drawdown is is 32%.

29:10

>> Yeah, yeah.

29:11

>> And yeah, that's that's the average. And

29:12

some are obviously more. That's the

29:13

average.

29:13

>> Cannabis is the best example of that,

29:15

right? Super volatile and they're in

29:16

like an 80% drawdown.

29:18

>> 80%

29:19

>> And they have their days where they go

29:20

up 20.

29:20

>> Right, right.

29:21

>> Okay.

29:22

>> So just be careful when buying single

29:24

theme ETFs. Yes, they can help

29:26

>> Because they can be very volatile.

29:27

>> They can just blow up your whole

29:28

portfolio or blow up the whole part of

29:30

it.

29:30

>> Or whichever part you that you got in

29:32

the first place.

29:32

>> How overloaded you get on them.

29:34

>> This says most single themes come with

29:36

poor sharp ratios.

29:38

>> Yeah, now we're now we're getting we're

29:39

getting funky.

29:39

>> Funky. First, explain what a sharp ratio

29:42

is.

29:42

>> Sharp ratio measures how much return you

29:45

get for per unit of risk.

29:46

>> Right, right.

29:47

>> Risk-adjusted returns.

29:48

>> want a high sharp ratio.

29:49

>> Above one is better. That's kind of the

29:51

baseline, I think, right?

29:52

>> 70% have a sharp ratio less less than

29:56

one from thematic ETFs.

29:57

>> Thematic ETFs, 70% of them have a sharp

29:59

ratio of less than one. So they're very

30:01

volatile.

30:02

>> And their returns aren't so great given

30:04

their volatility.

30:04

>> are not so great.

30:06

>> I'm going to stay away from thematic

30:07

ETFs.

30:08

>> are very

30:09

You know what happens is they get very

30:10

enticing because inevitably you see, oh,

30:13

the space ETFs are running up on the TV.

30:15

>> Right, right, right, right.

30:16

>> Or

30:18

AI and you pick just pick it. Um, you

30:22

got to be really good. You got to be on

30:23

top of it.

30:23

>> Okay, next chart. This says short list

30:26

of industry groups

30:28

that have been more than a 15% weight.

30:32

So what then and then you list semis,

30:35

tech hardware, energy, software.

30:40

What is this all telling me?

30:41

>> So I wanted to go back.

30:43

We were talking about semis weight

30:44

earlier, 18% or so.

30:46

And history's the best guide we have for

30:48

this stuff cuz we don't know the future.

30:51

So, I just wanted to find has there any

30:53

been any other groups above 15% in the

30:55

S&P? That's an arbitrary number, nothing

30:56

special about that.

30:58

And when you got the data and found that

30:59

since 1990,

31:02

only tech hardware back in the tech

31:04

bubble, which semis were part of back

31:05

then,

31:06

>> Right.

31:06

>> climbed way above 15, got to like 30.

31:09

Uh energy in the mid-2000s got right

31:12

above 15. And then software

31:14

>> the fracking days.

31:16

>> Yeah, I guess so.

31:16

>> Yeah, I must have been or whatever you

31:18

want to call it.

31:18

>> Right.

31:19

>> and then software got above it, too,

31:20

back in the late part of the last

31:22

decade.

31:23

Two out of three of those times have

31:25

ended up with not so great results for

31:26

the overall markets and for that group.

31:29

>> That would be energy and software.

31:30

>> yeah. And then the 2018 example was

31:33

because MSCI GICS reclassified a bunch

31:35

of stocks and removed it.

31:37

>> Nonetheless, you know, it does not mean

31:39

this whole thing's going to pop and

31:41

we're going to have a problem. It's more

31:42

we're just looking at history here as a

31:44

as a road map to understand how far this

31:46

can go.

31:47

>> And here's a chart. I'm not quite sure

31:49

what this means. It has a very

31:49

interesting title which says broader

31:51

flows climbing, but not extreme. What

31:55

does that mean?

31:56

>> So, this is a sentiment measure. All

31:58

right, I'm looking at what percentile

32:01

equity ETF flows are in relative to the

32:02

last 1 year.

32:04

>> And the So, I say that again. You're

32:06

looking at percentile of what?

32:07

>> The what percentile equity ETF flows are

32:10

in over the trailing 1 year.

32:12

>> Okay.

32:13

>> look back.

32:15

Uh how aggressive are we? Or how

32:17

lukewarm are flows?

32:18

>> Equity ETF flows.

32:19

>> Flows are just a it's a temperature

32:21

barometer. They're not necessarily a

32:22

signal.

32:22

>> And so, where are we now?

32:24

>> Lukewarm given where the market is.

32:26

>> Not a not a signal that we're at a real

32:27

top.

32:28

>> Tech is the extreme part. There's no

32:29

doubt about that. But broader flows

32:31

>> flows not.

32:32

>> broader flows are kind of just going

32:35

along with it.

32:36

>> Then we have

32:37

cyclical versus defensive flows are

32:40

subdued too. What does that mean?

32:42

>> Similar idea. I've taken this chart

32:45

all the cyclical sectors without tech.

32:48

Financials, industrials, materials,

32:50

discretionary.

32:51

>> Right.

32:52

>> Add those flows up and then subtract

32:53

them from defensives, energy, staples,

32:56

utilities, health.

32:56

>> Why would you do that?

32:57

>> Just a measure of risk risk appetite.

32:59

>> Okay.

32:59

>> Right? We're trying to figure out how

33:01

bullish What are people doing with their

33:02

money at the sector level?

33:04

And right now in terms of cyclicals

33:08

and relative to defensives, they're not

33:09

that, you know, overenthusiastic.

33:12

>> That's cuz they're just buying tech.

33:13

>> Exactly. Yeah.

33:14

>> They're not buying cyclicals or

33:15

defensives.

33:16

>> kind of the same idea. I'm just taking

33:18

different showing different variations

33:20

of it.

33:20

>> And then it says contrast between

33:22

financials and industrials one reason

33:24

why. What is that about?

33:25

>> cyclical flows together are not showing

33:28

much appetite. There's been a lot of

33:30

money going [snorts] to industrials

33:31

because of the power story.

33:32

>> Because of the power story.

33:33

>> Exactly.

33:34

>> Which is just another form of tech.

33:35

>> Exactly.

33:36

>> And no flows into financials.

33:38

>> There's a lot of unease from financials.

33:40

>> Unease.

33:41

>> And you know, I I kind of look at that

33:42

as bullish, to be honest, but I think it

33:44

has a lot to do with the private credit

33:46

headlines.

33:47

>> Right.

33:47

>> People are getting scared by that.

33:49

>> Healthcare appetite has cooled off. I

33:52

didn't know it ever got hot.

33:53

>> It

33:53

>> [laughter]

33:54

>> It was a brief moment.

33:56

>> I missed it.

33:57

>> I would the most frustrating sector in

33:59

the last 3 years

34:00

>> is healthcare.

34:01

>> is absolutely healthcare. Without a

34:03

doubt.

34:04

>> Unless you own Eli Lilly.

34:05

>> Yeah. Yeah, it's true. Unless you own

34:07

Yeah, unless you own some of the stocks

34:09

that have been good stocks. If you're

34:10

just buying the sector, unbelievably

34:12

frustrating. Biotech's been good. But on

34:14

the whole,

34:15

a ton of money out of healthcare.

34:17

>> Out of healthcare.

34:18

>> Yeah. If I made this a cumulative chart

34:19

rather than a rolling 3-month sum,

34:21

>> Right. You would see just a massive

34:23

amount of money

34:23

>> Massive outflow.

34:24

>> And so, yeah, and this has been the case

34:26

now for forever.

34:28

The setup is there for healthcare to

34:29

work. It just doesn't want to It just

34:31

doesn't want get its act together. Okay.

34:33

[laughter]

34:34

>> That's what that chart here reflects. So

34:36

this says bull case for health care long

34:38

way to go for normalization. What does

34:40

normalization mean?

34:41

>> It's health care shrunk shrunk from 16%

34:44

of the S&P to 8%.

34:45

>> Say that again.

34:46

>> Health care has has gone from 16%

34:49

to 8%.

34:49

>> It's unbelievable.

34:50

>> The The joke we'll say is it took a

34:51

GLP-1 literally like by itself.

34:54

The health The health care sector had

34:56

its own GLP-1.

34:57

>> Its own GLP-1. Okay, I got it.

35:00

>> And so the performance is so bad

35:03

you could make the case it's good. I

35:04

have we we have this conversation

35:05

>> words, it's so bad maybe there'll be a

35:07

reversion to the mean.

35:08

>> Yeah, exactly. We're looking for

35:08

reversion to mean. We had this

35:09

conversation a year ago I'd be saying

35:10

the same thing. So I sound foolish, but

35:12

it's that's just what the data tells us.

35:15

Okay.

35:16

>> Small caps flows up but hardly fully

35:18

endorse. What does that mean?

35:20

>> No one really cares about small caps

35:21

anymore.

35:22

>> They don't care.

35:22

>> Um when you have

35:24

>> Why do you think?

35:25

>> Cuz you have trillion dollar IPOs.

35:27

>> Right. Which is which are all exciting.

35:29

>> Super exciting. I thought it was

35:31

interesting last year small cap ETFs had

35:33

outflows.

35:34

That was the first time since 2011.

35:37

>> Wow.

35:37

>> That's rare for an an important asset

35:38

class. And yeah, the money's come back a

35:39

little bit this year.

35:41

Uh but between the flows and just

35:43

conversations a lot of folks just kind

35:44

of gave up on it. I think it's because

35:46

it was such a rough period from 2021

35:49

till about a year ago.

35:51

>> Energy is coming off the burner. Well,

35:53

energy didn't do too well. This

35:55

everybody knows. This is it's um June

35:57

15th.

35:59

Um President Trump announced on Sunday

36:01

there was a deal and oil prices

36:03

collapsed and energy stocks have

36:04

collapsed. But you say but here prior to

36:07

that energy is coming off the burner.

36:09

What does that mean?

36:09

>> There was a massive sugar rush to energy

36:12

from uh it was a February 27th. It was

36:14

when they did the initial move overseas.

36:16

Big rush as energy got some momentum.

36:18

Money flooded in.

36:20

>> Right.

36:21

>> Coincidental that all of a sudden oil

36:23

started to peak too? Perhaps, who knows.

36:24

>> Okay. So it's coming off the burner.

36:26

>> To me people are now taking their

36:27

profits on energy as this moves along.

36:30

>> Consumer discretionary underperformance

36:32

in bottom decile. This chart look on

36:35

consumer discretionary, looks like we're

36:37

we're in a recession.

36:39

>> Yeah, it's strange, right? The

36:40

discretionary stock

36:41

>> Discretionary is is a a barometer of the

36:43

health of the consumer.

36:44

>> Discretionary is definitely reflective

36:46

of the K economy.

36:48

I don't want to opine on that, but

36:50

>> Right.

36:51

>> there's a lot of have and have-nots, and

36:52

it's resulted in discretionary

36:54

performance being awful.

36:55

>> Awful.

36:55

>> Uh

36:56

>> Awful.

36:57

This is an equal weight one, by the

36:58

>> Yeah, you know why? Cuz I don't like cap

36:59

weight discretionary is skewed by Amazon

37:01

and Tesla.

37:01

>> Right.

37:02

>> And so, whenever you backtest anything

37:03

from that sector, it's just going to get

37:05

Amazon type results.

37:07

>> Right. Yes, what what you're saying is

37:08

because the market cap of Amazon and

37:10

Tesla is so big relative to all the

37:12

other companies, if you do a market cap

37:14

you're all you're doing is measuring

37:15

Amazon and Tesla.

37:16

>> Yeah, so I I I think it's very flawed.

37:18

So, I yeah, I equally weight

37:19

discretionary.

37:19

>> Right.

37:20

>> There are good discretionary areas,

37:21

though. Hotels

37:23

and couple of the cruise lines are good.

37:25

The restaurants are starting to come

37:27

back, and then airlines are accountable.

37:28

>> I know the answer to this question, but

37:30

I'm going to say what it says. Staples,

37:33

do they matter anymore? I think the

37:35

answer is no. How How How big were

37:37

staples at the peak, and where are they

37:38

now?

37:39

>> they're like 19% at one point.

37:40

>> Staples were 19% of the S&P.

37:43

>> at one month or so in the early '90s,

37:45

the largest sector. Can you believe

37:46

that?

37:47

>> Staples.

37:47

>> Yeah, can you believe that?

37:48

>> In the '90s.

37:49

>> Yeah, it's crazy, right?

37:50

>> And where is it now?

37:51

>> 4 and 1/2.

37:52

>> 1/2%.

37:53

>> Third or fourth smallest after

37:55

>> So, the So, Nvidia is double the size of

37:57

the entire staple sector.

37:59

>> Yeah.

37:59

>> Right.

38:00

>> Uh

38:01

uh Amazon or Alphabet. Microsoft is

38:02

larger than it.

38:03

And you know, maybe this is a Gen Z

38:05

thing. People don't drink anymore.

38:08

And smoke a cigarette.

38:09

>> toilet paper.

38:11

>> [laughter]

38:11

>> It will take a market freak out for

38:14

algorithms to buy consumer staples

38:15

again, I think, is what is happening.

38:18

>> All right. This is an interesting title,

38:19

but I'm I'm quite sure what it means. It

38:21

says growth of derivatives and ETFs a

38:24

hurdle for allocating to staples.

38:27

>> Yeah.

38:28

>> Unpack that for me. What does that mean?

38:29

>> So,

38:31

staples, they were great in maybe the QE

38:34

era cuz some of those companies had

38:35

yield. They threw off yield at least at

38:37

least and they might have been lower

38:38

vol.

38:39

But because ETFs have proliferated so

38:41

much and there are such

38:44

a massive amount of ETFs using

38:45

derivatives. I'm not talking about

38:46

leverage. I'm talking about options now.

38:48

>> What you mean? So, there in with in the

38:50

ETF there are options etc. to to soup

38:53

soup up the performance.

38:55

>> Exactly.

38:55

>> Okay.

38:55

>> So, I can buy a covered call ETF which

38:59

is where I'm selling options to generate

39:01

income while maintaining some equity

39:03

exposure.

39:04

>> Okay. So, what's that got to do with the

39:06

hurdle for allocating to staples?

39:08

>> Well, if I have 10 bucks to allocate to

39:10

staples, yeah, the performance kind of

39:12

stinks. Why don't I just buy an S&P 500

39:14

covered call ETF? So, I get S&P exposure

39:16

plus the income

39:17

>> All right. I see.

39:18

>> Or,

39:20

I can buy a a buffered ETF which

39:21

protects me on the downside.

39:22

>> Okay. So, people are playing that much

39:24

or is it just

39:25

>> It's just having It's just having more

39:27

So, you go on a street.

39:28

>> Right.

39:29

>> one restaurant, now there's five.

39:30

>> Got it. We're working through our

39:32

sectors. REITs were a diversifier during

39:34

the tech bubble.

39:36

What does that mean?

39:37

>> So, I I want I I want to try and find a

39:39

case for REITs.

39:40

>> Good luck.

39:42

>> [laughter]

39:42

>> What But by the way, what percentage of

39:43

the S&P are REITs?

39:44

>> they're like 2% or less than that.

39:46

>> Less than two?

39:47

>> Yeah.

39:48

>> I mean, at that point from a portfolio

39:50

manager's perspective, like forget about

39:51

it.

39:51

>> stock. You know, if you're buying a If

39:53

you're doing that.

39:54

>> Right. You can buy one stock. It's I

39:55

think the REIT index is like 30 stocks.

39:57

But but you know, you're going to buy

39:58

one if you're going to buy anything.

40:00

>> So, okay. So, my bull case for REITs

40:01

then is in the tech the 2000s extreme.

40:04

Way too extreme right now.

40:06

But if you ever had to have another 2000

40:07

environment, the REITs actually went up

40:09

during it.

40:09

>> Right. They were the diversifier. Got

40:11

it.

40:11

>> That is the case for REITs.

40:13

>> Got it. Okay.

40:14

Here's a provocative statement.

40:17

Quality is wasting space in your

40:21

portfolio.

40:22

>> So, what do you mean by that?

40:23

>> goes back to what we were talking about

40:24

earlier with quality being full of tech.

40:26

>> Right.

40:27

>> This is a 50

40:29

>> Quality is now a disguised tech is what

40:31

you're saying.

40:32

>> exactly. So, it's not a diversifier.

40:34

>> No, it's the R squared of this ETF,

40:36

which is about a $50 ETF, is near

40:38

perfect to the S&P 500.

40:39

>> Okay.

40:40

>> Why do I need that

40:42

if it's doing the same thing?

40:43

>> As the S&P 500.

40:44

>> Yeah, I don't need it.

40:45

>> You don't need it. Exactly.

40:47

>> something

40:47

>> So, no point in buying a quality ETF.

40:49

>> can buy something that will diversify,

40:51

do something completely different.

40:52

>> buy the S&P 500.

40:53

>> I'm more S&P if you want, sure.

40:54

>> Right, but that's what you want. It's

40:55

just It's just not, you know.

40:56

>> Okay.

40:58

>> Maybe people might think I'm wrong, but

40:59

I That's how I would see it.

41:00

>> you.

41:01

Any thoughts on interest rates before we

41:04

finish up?

41:06

>> From the long end, too tough.

41:09

Um

41:11

you know, I know the two-year yield has

41:12

given a little boost here.

41:14

Maybe the Fed will have to tighten. You

41:16

know, that's more in Don and Jason's

41:17

lane.

41:18

>> Right.

41:19

>> Uh I would just say there's 8 trillion

41:20

of money market funds

41:22

and as a percentage of the bond agg,

41:25

that's very elevated. It's about 25%.

41:27

>> Okay.

41:28

>> So,

41:29

not that money market funds is the S&P,

41:30

that's kind of irrelevant here,

41:32

but money market funds are certainly

41:34

taking share from other bond managers

41:36

who could use some of that money when

41:38

the rate environment ever changes

41:39

whether it's higher or lower.

41:40

>> Okay.

41:40

>> I'm actually more than more interested

41:41

in what gold does here cuz it's it's

41:42

kind of falling off.

41:43

>> Yes, let's talk about gold.

41:45

>> Yeah.

41:45

>> Because somewhere in here is a is a gold

41:47

chart,

41:48

>> [laughter]

41:48

>> um which we'll we'll we'll put up on the

41:50

on the screen or we'll put in in the

41:51

show notes.

41:53

What in the world has happened to gold?

41:56

>> Whether it's higher rates,

41:58

uh

41:59

modestly higher dollar maybe's been a

42:01

headwind.

42:03

I look at it as more so what is a was a

42:05

blow off from metal mania earlier in the

42:08

year or actually last year. It feels I

42:10

don't even know what month it is now.

42:11

>> Right.

42:12

>> There was a massive amount of volume and

42:13

money going to that asset.

42:15

>> Last year.

42:16

>> Yeah. Oh, yeah.

42:17

>> What's interesting is that even you

42:19

would have thought

42:21

when that when the war started

42:23

and

42:24

interest rates were up

42:26

>> Yeah.

42:26

>> people were petrified of inflation

42:29

they're petrified about the world if you

42:31

would if you would said that to me and

42:33

said what would gold do, I would say

42:34

gold's up. And it wasn't.

42:36

>> Yeah, it's changed.

42:37

>> It's changed and I don't I don't I don't

42:38

know why.

42:39

>> Chris always likes to say pay attention

42:41

when stuff that is supposed to behave

42:44

one way does not.

42:45

>> Right.

42:45

>> And that's kind of been gold's case.

42:47

>> It hasn't acted the way you thought it

42:48

would should.

42:49

>> in the last couple of months, no. So,

42:51

I've seen a lot of money coming out

42:52

coming out of gold ETFs. So, that kind

42:53

of perks my interest of well, maybe this

42:54

thing will start to bottom out.

42:56

>> Okay.

42:56

>> And what about uh while we're on the

42:58

topic, Bitcoin? How's that chart look?

43:00

>> It's it's uh rough.

43:02

>> Rough?

43:02

>> Rough is the only way to describe it.

43:04

Same setup those gold where people are

43:07

like moving on from it. You know, uh

43:09

we're questioning it.

43:10

>> So, we we had a a thesis that that

43:13

people have that all all the young

43:15

people who used to trade Bitcoin are now

43:17

on Kelshi.

43:18

>> Mhm.

43:19

Good point.

43:20

>> And so, it's just it's just not cool.

43:22

>> Yeah. It got too um ingrained in the

43:24

system. Right. Went from DeFi to

43:27

traditional finance.

43:28

>> Traditional finance, which was death.

43:30

>> Um

43:31

but I'm also seeing money come out of

43:33

gold Bitcoin ETFs. So, you know,

43:35

>> They're coming out of the Bitcoin ETFs.

43:36

>> Yeah, yeah. So, the bar's low for both

43:37

of those assets. It's just the you know,

43:39

what what kind of environment do you

43:40

need now for them to recover?

43:42

>> Got it.

43:43

Any final thoughts?

43:45

>> Pay attention to what you own. That's

43:46

what I preach. Especially in this

43:48

environment, it's a bull market, but

43:50

you might be loaded up on more exposure

43:52

than you think in certain areas.

43:54

>> Okay.

43:55

Todd, thank you.

43:56

>> Thank you, Steve.

43:57

>> That was great. And we're back.

43:59

So,

44:00

that was really informative. You know, I

44:02

I I would say the the meta message here

44:05

is that tech has so dramatically

44:09

outperformed over the last several

44:11

years.

44:12

It's now almost 40% of the S&P. And then

44:16

if you add in all the other companies

44:18

like Google and Amazon, which are not

44:20

technically in tech, it's well over 50%

44:23

of the S&P. So,

44:25

Todd's message is that if you own an

44:28

index

44:29

and you think therefore you're

44:30

diversified,

44:32

you're actually no longer diversified

44:35

because tech so

44:37

dominates.

44:39

You know, we went through a whole bunch

44:40

of charts that just show flows into tech

44:42

ETFs off the chart. It flows into

44:45

everything else moribund. So, you know,

44:48

I think that's the big message. What's

44:50

interesting in terms of individual

44:52

stocks is the Google chart still looks

44:54

good.

44:55

But Meta,

44:56

Oracle,

44:57

Microsoft, Amazon, their charts look eh

45:01

to bad.

45:03

And that's A, either partly software

45:05

exposure to AI capital intensity

45:09

exposure. So, this the groups of tech

45:11

that have done the best are the ones

45:13

that are not related to that. So, that

45:15

would be semis and tech equipment.

45:19

And the other group that's done very

45:20

well would be a stock like GEV, which is

45:23

power related. So, everything is sort of

45:26

one theme.

45:27

It's what dominates the market. And the

45:31

scary part here, this is how I'll end,

45:34

is that if the stuff ever reverses,

45:36

there'll be no place to hide.

45:39

See you soon.

45:45

>> This podcast is for informational

45:47

purposes only and does not constitute

45:49

investment advice. The host and guests

45:51

may hold positions in stocks [music]

45:53

discussed. Opinions expressed are their

45:54

own and not recommendations. Please do

45:57

your own due diligence and consult a

45:58

licensed financial advisor before making

46:00

any investment decisions.

46:04

>> [music]

Interactive Summary

In this episode, Steve Eisman hosts Todd Sohn, the chief chartist at Strategas, to discuss the current market landscape through the lens of technical analysis and ETF data. They highlight how technology, particularly semiconductors and hardware, dominates the market, often creating a false sense of diversification for index-based investors. Sohn emphasizes that while the bull market persists, investors should be wary of their heavy exposure to tech and the potential risks inherent in leveraged and thematic ETFs.

Suggested questions

4 ready-made prompts