Episode Transcript
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0:00
Do you remember the last time Jeff was on the show?
0:03
Guess. Like exactly what it was? No, just like around when. Oh,
0:07
we'll put it on camera. We'll put
0:09
it on camera. You gonna talk about it? Yeah, we'll talk about it. When do you think
0:11
he was on? Uh... Who you guess? I
0:14
don't know. I know you don't know. Guess.
0:16
Wait, why would I know? Aye, I'll tell
0:18
ya. What the **** are you gonna talk about? What do you want from me? It was
0:20
so long ago. Oh, alright, fine. You want me to
0:23
guess? It was... December. Yeah, 2022. I'm
0:26
back. Wait, what? Yeah. Really? Yeah, dude. We haven't
0:28
seen you since then? It's been a year and
0:30
a half. It doesn't feel like a year and
0:32
a half, does it? No. Time. It's
0:34
too fast. Wow. It's
0:37
not a constant, though. No, it's not. So
0:39
the title was The Game Has Changed. And
0:42
that was... Back then? That was the bottom. Yeah, that's
0:44
right there. That was the bottom. Do you feel like
0:46
time is speeding up as you get older? You're kidding
0:48
me? I mean, I feel like the
0:50
months are flying by. I don't think... So they're
0:52
close. I didn't even notice the
0:54
change anymore. I just took my son on
0:56
a... My youngest on the college tours, right?
0:59
Down south, I'm like, well, like, you kidding
1:01
me? See 11th grade? Yeah. Okay.
1:03
Come on. You're the last kid? Yeah. I
1:05
just... My first kid just got into... Got
1:07
into school. Nice. So we met last year.
1:09
Yeah. She's graduating
1:11
in a month. I don't know how. It's
1:15
ridiculous. Yeah. I agree.
1:17
So my kids are five and seven. And
1:20
seeing Josh's daughter go to school makes me
1:22
feel really weird. Because when
1:24
I met... When I started working with
1:27
Josh, she was six. Yeah.
1:29
She's a baby. Like, what
1:31
the f***? Great. And so it's
1:33
like freaking me out a little bit. Well,
1:36
the thing that somebody said to me, that's like
1:38
the most true thing I've ever heard is that
1:42
the days are long, but the years are short. Yeah,
1:44
right. So when they're little and you're
1:46
like on soccer fields and then baseball fields and
1:49
it feels like it's forever. Right.
1:51
Yeah. But then you realize, oh my God,
1:53
another year just went by. Totally. That's totally
1:55
true. Dude, Jeff, if you need anything, just
1:57
hear the noise. It's great. Yeah. It's great.
2:00
Exactly. And that's me for
2:02
the fact that we're for the barbie
2:04
you ever had. You
2:07
gotta get the engineers involved. That way it's
2:09
like a complete shit job. Just
2:12
derailed. Exactly. Ladies first and foremost,
2:14
I can't help. I'm good, thank you. I'm great, I'm
2:16
good. Maybe in a little bit. We just
2:19
had a lunch and we had
2:21
Santoli showed. Santoli's
2:27
great. He's great. He's off to... He's
2:30
one of the best. No, not the best. I say
2:32
he's the best. Jeff, no laptop today? The full...
2:35
I mean, I can put this up. Do you want to do
2:37
that? I mean, if it... Sure. Yeah.
2:40
If it hides my sweat marks... We'll talk
2:42
about this, but that was the top and rates, no?
2:52
When? Just recently? Yeah.
2:55
I'm in that camp. The chart doesn't tell
2:57
you that that's officially there, but I think
2:59
when you've got the chart on, I think
3:01
you're trying to make it look like something.
3:04
Yeah, I know. I'm... We
3:06
have more important things for that. Is
3:10
Peloton going to zero? No.
3:12
It's $2 stock. Are you
3:14
sure? No, I'm not sure. It'll get bought. I don't
3:16
know anything about that. I just don't know who buys
3:18
it. Yeah. Okay. Peloton
3:21
CEO Barry McCarthy steps down amidst the company's
3:23
restructuring, laying off $15 percent
3:25
of the global workforce, which is 400 employees.
3:30
He came in hot. Hold on. So
3:32
the stock spiked immediately following the announcement
3:34
because for most companies, layoffs are good,
3:36
not this one. Stock price
3:38
then dropped. This is the fifth round of
3:40
layoffs for Peloton since 2021 when it had
3:43
8,600 staffers. Yeah.
3:48
This was a $261... Was it $161 or a $261 stock? I
3:52
forgot. What was the high?
3:55
It couldn't have been a more perfect storm for that stock,
3:58
right? In both directions. Everybody's getting
4:00
fat like you know caps down 98% But
4:04
what what is what was the peak share price
4:06
because I'm a dollar guy. I know I know
4:08
Josh doesn't do percent He's right divided by 86
4:10
very traditionally. Yeah, the top was 167. It's not
4:12
under three bucks Is that bad dude that is
4:14
is bad and that was a meme stock for
4:17
a minute, right? So
4:23
Not really a ton Who
4:26
would buy this though like is there any value
4:28
nobody and there's not even a short squeeze Like
4:31
the shorts their shorts are going to cover at
4:33
zero were never covered So the last time I
4:35
looked which was a year ago, maybe
4:38
more they had They
4:40
had hundreds of millions of dollars and recurring
4:42
subscription revenue Like there's something there
4:44
because the machines they're losing if
4:47
you're losing money on the machines just to
4:49
get recurring revenue You could
4:51
do that and eventually catch up But
4:53
if the the sales of the machines
4:56
keeps falling then you install base that
4:58
you're modeling those recurring revenues for is shrinking too Well,
5:00
you know what? Maybe doesn't you can maybe a private
5:02
equity comes by two four pennies on the dollar and
5:05
clean I don't know what the debt is more importantly
5:07
what happens to my peloton It's
5:10
a regular bike now. I haven't ruined my peloton
5:12
I haven't a year, but you know what it
5:14
holds eight jackets. Exactly. I figured out It all
5:16
three jackets. It's not too long So
5:19
it's worth speaking of a question now. Did
5:21
you see these yet? What'd you
5:23
think? Pretty nice, right?
5:25
Not bad Nicole get a
5:27
shot get a shot of that show is gonna be
5:30
blowing off my back as I'm flying through the air
5:32
on the material That's
5:34
pure velvet. That's nice. That's this is
5:36
like the dry fit the dry fit
5:38
We can velvet and maybe there's an
5:40
overshare But the dry fit material has
5:42
this combustibility chemical with my skin where
5:44
I put it on what's going on
5:46
here I put it on and I
5:48
smell that's three What
5:50
three that's three? What
5:52
Michael is part stop piling excuses in advance for
5:54
the money? I'm just saying I'm what if I've
5:57
now that's all He came in today's
5:59
a guy Where is this five key a
6:02
Central Park JP Morgan corporate challenge?
6:04
Yeah, he goes guys I was
6:07
on the phone and I stepped off the curb and hurt
6:09
my ankle. No, no, no, I Crumbled
6:13
I took a step off the sidewalk and I my ankle
6:15
like that. I almost hit my knee That's how
6:18
many weeks of training you miss because nothing good all
6:20
wrong tomorrow All right, and but now also we have
6:22
an issue with the shirts. I
6:24
have no issue with the shirt I'm just that it's combustible
6:26
with my you just said if you run in this race
6:28
with us You're gonna be on fire smelling. I
6:31
will smell that's okay. That's fine. You'll be
6:33
nowhere near me. I don't mind Okay, what's your
6:35
shoe of preference? What are you running? I
6:39
just I went in my on clouds although although so Josh
6:41
and I were just in In
6:44
Los Angeles and we were walking from you
6:46
come sir Josh. I don't know we were
6:48
walking up And
6:51
we're walking up the hill and he like sell to
6:53
his knees. I didn't fall to my knees. I'm like
6:55
Nicole I took a break. I
6:57
didn't write you know, I didn't fall right, but you can't
6:59
walk but you can run I don't get
7:01
it. No, I can walk and run but I took a
7:03
break It was a lot of
7:06
walking you walked us into the Hollywood Hills. We have
7:08
photo evidence Well of me sitting
7:10
set the worst that ever happened Really
7:17
no at this point it's pure spite I'm
7:20
only I'm only running a runner
7:22
at this point I'm only running and training
7:24
because Michael said I can't
7:26
finish a 5k. Well, I didn't know I assume I
7:29
thought it's a safe assumption. Was it 3.21 dude? It's
7:31
it's 3.5 miles. I don't know pretty much Slightly
7:40
longer than a 5k. Have
7:42
you done this before these are metric miles? The
7:45
JP Morgan one. Yeah, he's a real runner bad He
7:49
ran the marathon like three three hours 40
7:51
minutes. No two hours 40. I guess you what
7:53
I'm saying is like The
7:56
people that are running in this race are not marathoners.
7:59
It's just like regular people completing
8:01
a 5k it's like no big
8:03
deal are
8:05
you kidding me oh that's not great
8:07
for Michael Shinspielin's the hell I line up
8:10
I line up in the
8:17
back you know David Kelly's a mayor I don't want to
8:19
be in anyone's way who
8:22
is David Kelly dr. David
8:24
Kelly he he got when he
8:26
was here we were talking about he's run
8:29
marathons yeah well I don't but
8:31
you're right about that point everyone tries to
8:33
get up to the front and then they
8:35
can't really explode out of the gates and
8:37
something like this it's Hillary and hotter I
8:40
think though that we
8:46
want to not lose sight of the fact that it's for charity right
8:50
like like yeah isn't
8:52
that for charity yeah I'm pretty
8:55
sure it's gotta be right it's the
8:59
corporate channel they raise money but I think it
9:01
we do a great job making a well-known
9:04
who's answering it John we good I
9:08
think I think they raised money for the park itself so
9:12
Apple reports tonight what's
9:14
your whisper number you you
9:18
know how we do you know how on CNBC like we
9:21
do a recurring segment does the
9:24
market need Apple to route you know like
9:26
you've heard that before I haven't heard that one oh why I'm
9:28
talking about this later I will go there we'll
9:30
go there later
9:33
is that me Ben
9:36
Carlson take it very
9:40
confident in my assertion Ben you're
9:44
in the studio with Jeff de Graf and Josh we're
9:46
about to start recording the compound and friends what's on
9:48
your mind that's your calling
9:50
in you called
9:53
me a man that's embarrassing Ben
9:55
Mike Mike called you because he missed you while he was in
9:58
California this week all right love you I'll call you out Love
10:00
you. Love you is a lot. Very
10:02
confident in my shirt. Very confident in my shirt. Shout
10:04
out to Ben. What kind of show we
10:06
doing here? Uh...
10:09
One more second. And
10:11
on that note, turn on Do Not Disturb. Good
10:14
idea. Good idea. Good idea. True. You
10:18
called me, it was pretty good. True
10:21
story. He does have me there. I actually called him. Are
10:24
you on a good one? Yeah, I think so. Alright. Three
10:27
o'clock. Coming in. Thank you. I
10:58
may maintain positions in the securities discussed in
11:00
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11:04
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11:37
Episode 140. Ladies and gentlemen, you
11:39
are now tuned in to
11:42
the world's greatest financial slash
11:44
investment slash lifestyle
11:46
podcast. You're
11:48
the best fan of the world last week, this week.
11:52
Michael and I were in Los Angeles. Great
11:54
turnout, great enthusiasm. We
11:56
had so much fun meeting you guys. Thank you
11:59
to everyone. who got up, got in
12:01
the car, came to see us in Los Angeles.
12:04
That show, for those of you who missed it, is
12:07
going to be on all channels
12:09
shortly. But I wanted to
12:11
just give a shout out to the fans who
12:13
came. Today's show is going to be amazing. We
12:17
are with technical greatness,
12:20
is the way I would phrase
12:22
it. Our friend Jeff DeGraff is the chairman
12:25
and head of technical research
12:27
at Renaissance Macro Research, AKA
12:30
RenMac, Jeff DePiment, Merrill Lynch, Lehman
12:32
Brothers, ISI Group. He is a
12:34
member of the Institutional Investors Hall
12:37
of Fame. He's
12:39
a private pilot. He's
12:42
a CMT and a
12:44
CFA charter holder. Jeff DeGraff, welcome back to
12:47
the compound of the class. Thank you, it's
12:49
been a while. You didn't realize
12:51
how long it's been. No, no, we didn't realize
12:53
how long it's been. So happy that you're here.
12:55
So what's the day today? We're
12:57
taping this on Thursday, May 2nd at approximately
13:00
3.08 in the afternoon. And
13:02
I guess it's been 16 months since
13:04
you were here? Almost 16. Okay.
13:07
Should we go back to what Jeff told
13:09
us last December? What did you tell us
13:11
last December? Well, it was
13:13
two December's ago. Two December's ago. Excuse me, two December's
13:15
ago. What was the name of it? What did we
13:17
call it? Oh, the change
13:19
is coming? Yes, or something changes here,
13:22
something like that. Something catchy.
13:24
Yeah. Yeah, catchy. The game
13:26
has changed. There we go, right. But you,
13:28
so I know you're not like,
13:30
you don't do like extended victory laps, but there
13:32
were a lot of key things about that period
13:35
of time that were changing. And
13:37
some people picked up on them, some people
13:39
didn't. Yeah. But in the charts, it was
13:41
pretty clear that stocks were behaving differently. Definitely.
13:43
What do you remember about that moment? And
13:46
what do you think you'll be able to
13:48
use going forward as a reference point for
13:50
your own, just like, oh, here's how the
13:52
market works. Like edification. Yeah. So
13:55
it's almost cinco de mayo, so I brought you guys
13:57
some margaritas. We appreciate that.
14:00
Cheers. Happy Synchodomyo. I'm going to hold off on
14:02
my first step until we get at least 45
14:04
minutes in. That's fine. No problem. I'm already three
14:06
in. Okay, good. So
14:08
a couple of things were going on then. I think
14:10
the big one, and this has been really a part
14:12
of our process for 25 plus years, which
14:16
was this relentless improvement in the
14:19
credit markets. It just was
14:21
continuing to get better and better and better
14:23
corporate spreads, etc. And
14:25
that's just not something that you'd expect to see
14:27
if we're going into recession, which is what everybody
14:29
was predicting. And look, I mean, the curves inverted.
14:31
There are a lot of signposts there that say,
14:34
hey, historically, when this happens, then that happens. But
14:37
if you looked at the real-time indications, what
14:39
the blood pressure of the market actually was,
14:41
it's like, this patient's not dying. This patient
14:43
is actually stable at a minimum
14:45
and maybe actually flourishing underneath the surface. So
14:47
we had Neil Dudda on recently, your partner
14:49
at Renmat. And similarly, he
14:52
became known for being one of the
14:54
few voices in macro, saying, I know
14:57
everyone, I know the
14:59
consensus is now recession is a foregone
15:02
conclusion, but I don't see it that way. And
15:04
he ended up being right as well. What's interesting
15:06
to me is he arrived at the
15:08
same conclusion that you did, but he's looking
15:12
at the economy and you're looking at market behavior.
15:14
Right. And I think that's an important part
15:16
of our process at Renmat, which
15:18
is we don't get in a room and say,
15:20
I'm bullish, so therefore you be bullish, or you're
15:22
bullish, therefore I'm going to be bullish. We come
15:24
to our own conclusions. And
15:26
I think it's important because if you don't, then
15:29
you're going to lose good people. I mean, you
15:31
have to have your own sort of intellectual horsepower
15:33
and curiosity and independence. And
15:36
so when we come together and I'd say
15:38
we're on the same page, boy,
15:40
I'd say it's probably 70% of the time, but
15:43
it's for different reasons. And
15:45
we can play off each other and then we can also
15:47
challenge each other too. And so I think it's really helpful
15:49
to say, hey, Neil, what's going on
15:52
with the truckers? Oh, this is something to do
15:54
with labor unions. Okay, that's fine. The charts look
15:56
bad, but that's an idiosyncratic problem. Right. And
15:59
So we. We play around that and nobody
16:01
does that and I think it becomes a real
16:03
problem. One who do you follow because everybody some
16:05
religious and be wrong? So do I really want
16:08
to be stuck torn down the drain with somebody
16:10
else? Thought of myself, funny that you say that
16:12
on them are obviously Michael an eye on selling
16:14
research. But ah, we do a show on you
16:16
tube that's been running for like five years now
16:18
and we often disagree. But. We work
16:21
together. It's. Possible to have a
16:23
you a workplace environment. Where.
16:25
Two people arrive at different opinions for entirely
16:27
legitimate reasons. Yep, and eventually one of them
16:30
will be right. The of, or maybe both
16:32
will be wrong. And. That's like okay
16:34
so we don't have to have a
16:36
situation where you work here. I work
16:38
here, I I has seniority. Therefore, you
16:40
have to accept what I'm saying. Gross.
16:42
So I think that that's the way
16:45
things should be. But. I also
16:47
understand, especially on Wall Street where reputations
16:49
and egos. I understand why. does a
16:51
lot of research shops where it's not
16:53
that was right for herself on enlisted
16:55
in our business the the date is
16:57
changing daily right? A Me: Neil gets
16:59
a data point. Every. Single Day
17:01
if I mean if he's looking globally,
17:03
it's homes every single our rights. We
17:05
get market feedback every single day and
17:08
so you know you're gonna. You're gonna
17:10
have to be malleable and your views
17:12
are going to change through time as
17:14
the data changes in the market. So
17:16
you should be thinking about things. So
17:18
in a being very rigid in those
17:20
outlooks is just. it's a recipe for
17:22
disaster. Yeah, he really needed to be
17:24
fluid and you're thinking in. And I
17:26
have something that I've always thought about,
17:28
which is. Okay, Here's where
17:30
I think we are now. what are the likely
17:32
paths to where we're going rate And so what
17:34
are those signposts? What are those things that were
17:37
going to tell me that I'm on the right
17:39
path or a mom or on the wrong path
17:41
of i'm on the wrong path and what is
17:43
that path? How to identify that path and when
17:45
I do with them for their and that's really
17:47
it's a daily process of and I write daily.
17:49
Our clients get of shows that the graph daily
17:51
these they see or daily commentary and it is
17:53
a royal pain yes was no doubt about it
17:55
sorry but claims of their the good but the
17:58
reality is I do as much for my. As
18:00
I do for clients because it forces me
18:02
to look at the markets every single day
18:04
and figure out what's going on. Or at
18:06
least put the chart and the pile that
18:09
says i got a figure that out like
18:11
I don't know what's happening here Of that,
18:13
what should I be doing about that? Do
18:15
you think the market as noisier than it
18:17
was when you started just because you mentioned
18:19
the data points that we get there? So
18:21
many more data points that literally technology wasn't
18:24
able to capture? Probably when you're first, when
18:26
you're start your career. I think every six.
18:28
there's an old story about. A
18:30
client who used to messenger
18:32
car service black car ah the
18:35
financial times to his office
18:37
from Jfk to get the. The.
18:39
Head start to get the information advantage right?
18:41
So you have a guy their ads. Whatever.
18:44
it was four thirty in the mornings. grab
18:46
in paper to information. highway yes was obvious
18:48
to think it's a race otherwise knows the
18:50
Van Wix. Ah, read to his office. we
18:52
can read in early before the rest. The
18:54
streets. It's. A good question.
18:57
I mean, work. We don't find that there's
18:59
more or less mean reversion. We don't find
19:01
that there are more. Or.
19:03
Less have faults. Trends are legitimate
19:06
trends that the markets chemistry is.
19:08
We view it the way that
19:10
we look at the world has
19:12
stayed relatively. Similar. That's
19:14
exactly the same. I will say that things like
19:16
bread speak at addict as because of Bts breath
19:18
tends to pendulum. In other words it'll be a
19:20
hundred or one hundred percent of the financial stocks
19:23
or up on the day. Or one hundred percent
19:25
or down because it just becomes a ballet. their
19:27
bought and sold Now yeah it's just easier to
19:29
do it that way that were backing me on
19:31
my day at Lehman. it wasn't It was never
19:33
like to have your front of asked we could
19:35
do it with to names on for you to
19:37
find. Things within the markets are different but. I.
19:40
Made a chart of the Rolling Thirty
19:42
day. Saints. In the Sp:
19:44
Five hundred gone back to the beginning of
19:46
of time and just by that one muttering.
19:49
There's. no there's no difference between now and
19:51
hundred years your twins within the sp
19:53
five hundred f or whatever marketers using
19:55
just it's any kids or yeah yeah
19:57
i want an insurance on ask you
19:59
if you think it's possum for a
20:01
technician to have quote-unquote conviction versus
20:04
someone that's looking at macro
20:06
or fundamentals. I'll tell you why
20:08
I'm asking that question. You're looking at
20:10
the charts every day. You might
20:12
believe something on a Monday that two weeks
20:14
later, two following Mondays
20:17
later, becomes completely invalidated
20:19
by price. As
20:21
a technician, you can't double down on what you
20:23
thought two weeks ago. You have to say this is
20:25
what I thought, but this is what I think now. It's
20:29
a discipline that inherently does not
20:31
lend itself to the concept of
20:33
conviction if you're truly focused on
20:35
price because prices change. Someone
20:38
who follows the macro, they
20:41
probably shouldn't have as much conviction as maybe
20:43
they have, but they can say,
20:45
no, this is a blip. My original opinion is
20:47
still right. What's
20:50
the push and pull within your own mind
20:52
when you're deciding whether or not you've
20:54
changed your mind or you decide,
20:56
no, I still think I'm right because
20:59
you kind of have to be somewhat malleable,
21:02
not in your principles or how you look at things, but
21:04
in your conclusions. I think
21:07
the word you use is probably the
21:09
most dangerous word on the street, which
21:11
is conviction. What conviction implies is that
21:14
you know something that the rest
21:16
of the market doesn't know. And
21:19
everyone else is wrong. That's pretty dangerous in this business.
21:22
Look, there are people that can make money doing that,
21:25
but there are also plenty of people that lose a lot
21:27
of money after they've made it that do it. We
21:31
have an old saying, conviction
21:34
kills and dogma is
21:36
death. And I think
21:38
you have to be pragmatic. And when you're
21:40
pragmatic, the idea is that look, I believe
21:42
that this trend is in place. I try
21:45
to really disassociate myself with the
21:47
narrative and the news flow. That's pretty hard to do,
21:49
but I really try to do that. And you have
21:51
to rely on those tools. Now,
21:56
for us, sentiment is important. For
21:58
us, we're going to be doing it. mean
22:00
reversion indicators, long-term mean
22:02
reversion indicators are important. And
22:04
in the interim, the trend following indicators are important.
22:07
So if I'm in a situation where I know, and I
22:09
know we talked about China a little bit, China
22:12
to me is very similar to the last time you
22:14
had me on for the US. I think that we're
22:16
in a game-changing environment. We gave you
22:18
a shot on a halftime report today. I appreciate
22:20
it. You were on with Scott last night talking
22:23
China or something? Yeah, two days ago. Two days
22:25
ago. Okay. All
22:27
right. I'm going to walk you through it, which is we
22:29
know that the long-term alpha generation, just by
22:32
owning the Shenzhen 300 or the ETF, whatever
22:34
you want to look at, the long-term alpha
22:36
generation is the worst it's ever been in
22:38
the history of our data. You've
22:41
never lost more money in China versus
22:43
China versus S&P. MSCI
22:45
world, the entire world. So
22:47
you've never lost more money with more volatility
22:49
than you have as of basically the beginning
22:51
of the year. So
22:53
that to us starts to perk our antenna.
22:56
Okay, this is so bad that maybe it's
22:58
good, but that's the first set. The
23:01
second is then where is the sentiment? Usually the
23:03
sentiment will follow the price and particularly the risk-adjusted
23:05
price. We measure a lot
23:07
of different things, but the ETF outflows were one that
23:09
stood out to us that people are just saying, why
23:12
am I in China when I can own Nvidia or
23:14
whatever the case may be? Yeah. So
23:16
you've got that behavioral aspect that set itself
23:18
up. Then we wait for price.
23:20
We wait for price to confirm. We
23:24
made a tactical call back at the
23:26
end of January that we thought the
23:28
confluence of those two
23:31
sentiment and the alpha was enough to say, look, let's
23:33
play for a bounce. I think this is washed out.
23:35
That was the bottom. But yeah, we
23:37
thought it was at least a tactical bottom. That
23:40
tactical bottom to us is like, that's 20%, 25% in a pretty short
23:42
period of time. You can
23:44
play it and make money, and it's a pretty low risk
23:46
way to do it. But what's happened
23:48
is we never came back and retested. We actually
23:50
stayed up there, and now we're starting to break
23:52
out again. We're starting to change these trends. And
23:54
so from my standpoint or my seat, I look
23:56
at it and say, look, the biggest sin I
23:59
can as a technician
24:01
and as a listener to
24:03
the market is not believing it
24:05
when it happens. I've got these
24:08
two preconditions that I know historically are pretty good
24:10
and now the market is telling me that it
24:12
wants to go higher. I might
24:14
be wrong. There's no doubt I might be wrong, but if
24:16
I'm wrong, I'm going to be wrong by that much. How
24:18
much is K-Web up off that late January print? I don't
24:20
know, probably 20ish percent. A
24:22
lot of bonafide bull markets. You know what's so funny about
24:25
what you're saying? We're looking at
24:27
this through the lens of price and technicals. Somebody
24:30
that doesn't focus on that at all
24:32
could have made the exact same bull
24:34
case on Chinese equities
24:36
in January, but for entirely different
24:38
reasons. Somebody who focuses on
24:40
the news flow would have said, hey,
24:44
the authorities on Beijing seem
24:46
to be saying a lot of things that are constructive
24:49
about their own stock market. They threw
24:51
out the head of their version of the SEC. They
24:54
enacted all sorts of more friendly policies.
24:59
Even what's his name made an appearance, Jack
25:02
Ma showed up in an interview
25:04
or something. This
25:06
guy was exiled probably where Napoleon bought
25:09
the farm. Were his hands in front
25:11
of him or were they behind him
25:13
still? Dude, he was relaxed and he
25:15
was talking about Alibaba or something publicly.
25:19
Somebody that focuses on news flow and not
25:22
technicals could have said, I think these stocks
25:24
are worth the risk here. They're in an 80%
25:26
drawdown or whatever. Now you could have
25:28
somebody that's fundamental. They could say, oh, valuation-wise, these are
25:30
the cheapest stocks in the world, growth stocks.
25:33
They were. The Chinese internet companies were
25:35
growing still, I think 20%, 30%. They
25:39
were selling for multiples as if they would never grow again,
25:41
probably because the risk was existential. Like
25:44
will these things get taken off the US
25:46
markets? That was a term
25:48
that I had heard a couple of times.
25:51
It's always music 20 years, which is this
25:53
market is uninvestable. Uninvestable
25:55
was the consensus on these assets.
25:58
Yes, correct. Perfect. What
26:00
are you going to start buying Russian assets? I
26:03
was going to go next. Anyway,
26:06
I think that's really interesting that different
26:09
people looking at the market with a different
26:11
discipline could have all reached the same conclusion.
26:15
That looks like one of the better global
26:18
markets you're to date right now. That's a good
26:20
point too, Josh, which is, is it easier to
26:22
create a bull market in the lone
26:27
bear market when all the other G7 are
26:29
in bull markets, or is it easier to
26:31
create a bull market when everything
26:33
else is in a bear market?
26:35
Of course, there's just some tailwind
26:37
that you get there. I think
26:40
what could be interesting, it's not
26:42
our call, but I'm thinking about it, which is,
26:45
are we today in an asynchronous
26:48
world? In other words, the Fed's trying to slow
26:50
down the US. There seems to be some evidence
26:52
that it's happening a bit. At
26:54
the same time, you have China stimulating, do we
26:57
end up doing this, that in aggregate, it ends
26:59
up being 2.5%, 3% growth, but nobody's growing too
27:01
hot too fast. It's
27:05
not collectively synchronized. As
27:07
we slow, then we start to stimulate, they speed
27:09
up or get too hot, they start to pull
27:11
it back. How the world
27:13
used to be before the great financial
27:15
crisis, you had different central banks moving
27:17
in opposite directions at all times, right? Before
27:21
the 90s was really it. It came out that
27:24
modern portfolio theory started adding
27:27
to particularly EM back in
27:29
the 80s, early 90s, and
27:31
about the time that that was published, it stopped
27:33
working. For the last, that's an interesting observation because
27:35
for the last 10 years, it was all global central bank
27:37
coordination. Everyone was doing the same thing. You
27:41
have less currencies now also. The 80s and 90s,
27:43
every country had its own currency. Now
27:45
there's four that matter. It
27:48
would be nice if we had an environment where
27:50
if the S&P has a bear market, you can call
27:52
your clients and say, all right, cool,
27:54
but Brazil and Japan kind of bailed us
27:56
out there. We just haven't had that
27:59
in a really long time. I remember the
28:01
back in the days in the early
28:03
90s where the the big bearish Narrative
28:07
on the US was you've got the
28:09
second largest Country in the
28:11
world which was Japan in this massive
28:14
bear market. There's no end to it How
28:16
are we ever gonna you know, not be
28:18
sucked into that vortex? Yeah, and we weren't
28:20
right and so You know the
28:22
stranger things happen. I guess is the way to think about not
28:24
to belabor we can move off this China thing in a minute,
28:26
but I was telling you before we started that I Bought
28:30
China and a few days later. I said I don't
28:32
want to deal with this headache Guys
28:36
the same thing washout and sentiment
28:38
reading proxies in Completely
28:41
washed out and the stocks did
28:43
stop going down I said, you know what? I'm gonna take
28:45
a shot and then I couple this edge So, you
28:47
know, I just don't feel like I just don't feel like allocating my money I'd
28:49
rather just put somewhere else there because there's so many things working over here. Yeah
28:53
but there's a big difference between identifying
28:55
a trend change and
28:57
then Putting the money there and
28:59
sticking with it like on the way up and
29:02
especially during the top. It's hard It is hard.
29:04
I think you know an important part. I
29:07
started trading commodities probably 25 years ago Best
29:10
thing I ever did in terms of just creating
29:12
the discipline one because there's a massive amount of
29:14
leverage So you can't mess around to
29:19
It's it really lends itself to technical
29:21
analysis because there's no way I can
29:24
know what's going on on the Ivory
29:26
Coast with cocoa at the Same time I know
29:28
what's going on with soybeans. I mean, it's just
29:30
it's impossible You have to obey
29:32
price on that market. No matter what so with
29:35
that I knew at every point where I
29:37
was gonna get out or where I was gonna
29:39
get in right? No, if Sandra butts no messing
29:41
around I just knew where it was gonna
29:43
be And so it's not that I didn't
29:45
have that emotional creep that comes in and says I
29:47
was this right Should I be here should I be
29:50
here? But it just kept you disciplined and just
29:52
said look, you know, if I'm wrong fine I'll
29:54
be wrong at this level. You knew before the
29:56
I knew before the trade right? Absolutely Federal
29:58
Reserve FOMC was
30:01
yesterday rates were left unchanged Seemed
30:05
like a pretty positive reaction. I felt
30:08
like today like people woke up and just said, you know
30:10
what? Yeah, that's kind of cool He
30:12
didn't he didn't double down
30:14
on hawkishness. Yeah, he didn't seem nervous He
30:17
didn't intimate that we
30:19
could have hikes on the table These were
30:21
some of the things that crept into market psychology
30:23
during the course of April I think April was
30:26
the the worst month we've had
30:28
in in September or something So it's
30:30
already 500 with so a lot
30:32
of like rollbacks of people's expectations for rate cuts
30:34
in the second half of the year and A
30:38
lot of concern that you know, the
30:40
economy is slowing But maybe it's stagflation
30:42
because inflation is still with us, etc
30:45
So he kind of poured cold water on all of that
30:47
and the market was able to recover. Is that how you
30:49
read it? I do read it that way I think
30:52
the setup was important though and the setup to
30:54
us was There
30:57
was a there was a narrative that
30:59
developed Partly because of what you're
31:01
talking about which was policy wise and partly because
31:03
of what we've seen from AI And
31:06
we call the momentum narrative, right?
31:08
So right you had momentum running
31:10
in Basically
31:12
the 94th percentile the spread between high
31:14
momentum names and low momentum coming into
31:16
April In as actually
31:18
as early as early March. Okay in that so
31:21
we are We are
31:24
unapologetic momentum players trend
31:26
followers I mean we will do it all
31:28
day long until it gets to
31:30
an extreme where it tells us that
31:32
that good chart is actually Vulnerable because
31:35
the momentum factor is so strong. You want
31:37
your momentum going more like this and less
31:40
like that Yeah,
31:42
I want I want the spread between the best
31:44
stocks and the worst stocks to be somewhere between
31:46
the 20th and 80th percent You
31:50
want a slope you don't want Empire State Building,
31:52
correct, right? And so once you get
31:54
there, it's the one area that we found that we're
31:56
gonna say hey, we're selling good charts We don't want
31:58
to be a part of this And
32:01
what you end up with from
32:03
momentum extremes is usually a sentiment
32:05
extreme, right? So price drives
32:07
behavior. It's not the other way around.
32:09
So when you get the strength people
32:11
become more bullish They start
32:13
making Called irrational decisions
32:16
or at least you know, not well
32:18
thought-out decisions And
32:20
so you have this pocket
32:22
of opportunity for disappointment And
32:24
I think that's exactly what the Fed did and what we
32:26
saw with the inflation numbers is It
32:28
wasn't that those numbers were so bad It was
32:31
that the expectations were so high Yeah And it
32:33
just didn't take as much to push you
32:35
off into that what we think is a consolidation
32:37
slash correction right now not the end of the
32:39
world but Certainly it was a
32:41
function of where the positioning was and the expectations
32:43
of where things were gonna be It was I
32:46
think it would I think they're exactly right. It
32:48
was really easy to make money in
32:50
January February March We had that narrative
32:52
of the broadening which was true at the
32:54
time You could I
32:56
think a ten out of eleven sectors were positive
32:59
on the year you were making money
33:01
and things that Didn't
33:03
really work last year. Yep, but then also
33:05
the stuff that worked last year was really
33:07
working this year you had a super micro
33:10
and Ariston networks and
33:12
this whole new crap of AI names leading
33:14
and it was just easy And
33:16
you woke up you bought NASDAQ stocks by the end
33:18
of it, you know by the clothes you were higher
33:20
Yeah, and once it gets like that, I totally agree
33:23
with you. It changes people's behavior They bet bigger they
33:26
are bolder. Yep the way they
33:28
come into stocks and More
33:31
stocks start working because they start looking for what's
33:33
the next in video? What's the next?
33:35
All right, so we had that behavior I think it
33:37
got washed out in April I don't
33:39
know though on the internals if it really
33:41
hit extreme levels I mean
33:44
more like when you talk to people they
33:46
don't seem as bullish as they seemed in February.
33:48
Definitely not. Okay, but I wouldn't
33:50
say they are To the
33:52
point where we can say with high
33:54
conviction that this correction if it's
33:57
oh, no, I agree Nobody because nobody's
33:59
despondent, right? buying stocks. Just as one
34:01
random anecdote. So this is a chart of
34:03
Caterpillar. Right? Like the correction
34:05
that we just happened was absolutely
34:08
necessary. Right? Like this is it. You
34:10
look at this, you say this is a good thing. You
34:12
need these corrections along the way. This is what sets up
34:14
the next like higher if we do get one. I'm not
34:17
speaking of Caterpillar, but just generally speaking. So interestingly enough, the
34:19
two areas that had were reflective
34:21
of the most momentum was
34:24
tech obviously. Right? That's easy. But
34:26
industrial was the second tech has,
34:28
has, has corrected from the 23rd,
34:30
94th percentile of momentum down
34:35
to the 61st. So that's kind of done what you
34:37
would hope it to do. It should get a little
34:39
better, but not the end of the world. Industrial's
34:43
were in the 99th percentile. So higher than
34:45
anything we'd ever seen. Those are the best
34:47
charts. They're unbelievable, but it's only corrected the
34:50
94th percentile. So
34:52
the point being, there's probably still more of
34:54
that to work itself out. Now that doesn't
34:56
mean that it's bearish for the next year, but
34:58
what it means is that the next three months,
35:01
the next maybe six months, you're probably going
35:03
to have underperformance. And that's why to us, the
35:05
narrative is important because once you get those
35:08
momentum spikes, the narrative generally changes. People want
35:10
to go back to whatever that was back
35:12
in January, February, we want that right.
35:14
But the market doesn't give you that the market
35:16
will not be a bear market. It'll still be
35:18
in a bull market or a bull phase, but
35:21
it will pick up on something else. And that's
35:23
why the China breakouts,
35:25
that's why the copper breakouts, these things are
35:27
so important to us because we feel like
35:29
the high probability trade is not
35:32
bullish to bearish, but bullish
35:34
to rotational into something else.
35:36
And that's what we're still trying to
35:38
sort through in the dark here. Where
35:40
are those charts? Where are those lead
35:43
or those potential leadership names? But
35:45
that's our right here. That's our top
35:48
play. One of the ways that we
35:50
got a positive reaction post
35:52
FOMC, is that okay,
35:55
we still have no idea when the rate cutting cycle is going
35:57
to start, if it's going to start this year or not. But
36:01
they did say that they would slow the pace
36:03
of reducing the balance sheet starting in June, which
36:06
is something that maybe we don't focus on all the
36:08
time. But shrinking that balance
36:10
sheet is the fact they're pulling liquidity from the
36:13
markets. It's doing so in a fairly invisible way,
36:15
unless you work in a bank. You can't really
36:17
see it. It's not posted in the newspaper. It's
36:21
a little liquidity here in the room with
36:23
us right now. Yeah. But specifically, it was
36:26
cited that that decision to do that
36:28
was to ensure that money market funds
36:31
don't experience the volatility and
36:33
stress that they saw
36:35
in September 2019. Which
36:38
is when they started doing reverse repo out of nowhere.
36:40
And people were like, wait, why are you doing that?
36:42
So I guess maybe that was like a
36:44
little bit of an olive branch to the people that were hoping
36:47
for a sooner cut. But
36:49
all things considered, we
36:51
still have high inflation points. And we still have
36:53
no idea when we're getting rate cuts. And
36:55
the market is holding up fairly well in the
36:58
face of that much uncertainty. And I'm actually a
37:00
little bit surprised that the reaction wasn't worse. From
37:03
the markets. Yeah, for stocks. Yeah. You
37:07
don't sound like you are. Yeah. Look,
37:09
I think we had two weeks ago, we had there's
37:11
three things that we look for at a low. We
37:14
look for what's called an external oversold condition, which
37:16
I can talk about in internal oversold condition. And
37:18
then we look for a sentiment extreme, a sentiment
37:20
spike. We'll stop right there. What is the difference
37:22
in those two things? So an external oversold condition
37:25
is you look at the S&P, it's
37:27
a conglomerate of 500 different names. And
37:30
that oscillator, we use our
37:32
own oscillator is oversold. And
37:34
it says the market's oversold. So you could put that on,
37:36
you could put it on corn, you could put it on
37:38
copper, you could put it on cotton. It doesn't matter. It's
37:40
just what it is. An internal oversold
37:43
condition is what's happening to the constituents
37:45
within the market. So the first one
37:47
doesn't care about what 3M's weight is
37:49
versus Google versus anything else. The
37:51
internal is individually how many names are oversold,
37:54
right? We do that on a percentage basis.
37:56
So 54% of the S&P 500 may a
38:00
20-day low simultaneously back about two weeks
38:02
ago. That's a good number. That's
38:04
a number that says- That's a washout number? Yeah.
38:07
The risk managers are tapping people on the shoulder saying, I don't
38:09
care what you think about XYZ, take it down. We
38:12
don't want that much of it. We
38:15
had 10% of the names trading above their
38:17
own 20-day moving average, very
38:19
short-term moving average. Both those are internal
38:21
measures of being oversold. 90% were
38:23
below. That's a washout. Yeah. So
38:25
we have an external oversold condition. We have
38:27
an internal oversold condition. We start
38:30
saying, okay, this is getting- we're in the
38:32
zone. This is the zip code. What
38:34
we'd love to see, it doesn't always happen, so
38:36
this is the challenge. What we'd love to see
38:38
is spiking put call ratios, something that shows that
38:40
people are now- That's the sentiment
38:42
part. Right. Positioning themselves differently,
38:44
playing more or protecting more for the downside than
38:47
the upside. We hadn't really seen that. Now, it's
38:50
not that surprising because one, the
38:52
correction lasted all about three weeks. So sentiment's
38:54
a function of time and price. We're down about 5%
38:57
three weeks ago. Well, so it wasn't totally severe. Right.
39:00
So I sense that it's just going to kind
39:02
of grind a little bit more and take
39:05
it out, but we had a good oversold condition.
39:07
The problem is, is it really a correction if
39:10
Amazon and Alphabet are making fresh all-time
39:13
highs? Yeah, I agree. You
39:15
know what I mean? It's hard to really characterize it as
39:17
a correction. Yeah, but that's why we use those internal measures,
39:19
right? Because usually if it's above 50%, it's good enough, right?
39:23
As somebody who wants the
39:25
market to go higher over time, I would much
39:27
rather- Is that you or me? Me. Okay.
39:31
Not you. As somebody who wants to
39:33
see that, I would much rather see this sideways
39:35
corrective action as opposed to the market just continuing
39:37
to go higher and higher and higher because that
39:40
sets up for instability. Yeah. Yeah,
39:42
I agree. If we have a consolidation that
39:45
takes us in through the end of May, I think
39:47
that's good news. Okay. If
39:50
you look at presidential election years, the
39:53
lows seasonally in election years tend to come
39:55
right around Memorial Day. So there's
39:57
no- Yes. There's notion of sell in May and go
39:59
away. For one, I
40:01
don't know where they ever came from because it's not
40:03
really true. You should be selling in mid-July. It does,
40:05
Ryan. I know. It does. We have those charts. We'll
40:07
get to that in a second. In July and say
40:09
goodbye. I want to make sure that we hit your
40:11
Renmak Econ market cycle chart.
40:14
What are we, can I throw this out
40:16
please? It's a clock. Yeah. We've got inflation and
40:18
growth. What time is it? Text the treasure
40:20
map. So what time is it? Please. So
40:22
it's nine o'clock, right? This is juxtaposing inflation versus
40:24
growth. I'm sorry, Jeff. Tell everyone what is
40:26
this called? This is our market cycle clock.
40:28
Renmak market cycle clock. There's
40:30
no CM there. There's a- You guys should CM
40:33
this. Yeah, we should. Okay. There's a
40:35
relationship between inflation and growth. All
40:37
right. There's a lot of
40:39
different ways to measure both. It's proprietary how we
40:41
do it, but it's all public information. We're not
40:43
coming up with something terribly
40:47
outside the box here. We do the
40:49
math. The transformation is a little unique in that we
40:51
use some
40:54
diffusion indices versus
40:56
rate of changes, et cetera, because they tend to
40:59
be echoey and you don't want that. We
41:01
do the same thing. Yeah, right. So we concur. Well,
41:03
I mean, you know, COVID, right? What happened to COVID?
41:05
Wait, what do you mean diffusion? What
41:08
are we saying? Good or bad. Okay. Good
41:10
or bad, better or worse, right? Okay. Not
41:13
the numbers. He's neither CFA nor CMP. You have
41:16
to dumb it down, please. It's fine. No,
41:18
it's fine. Talk to me as if you
41:20
would a small child or a golden retriever.
41:22
I understand. Okay. I understand.
41:25
The inflation has perked up. Those shadows that you
41:27
see is where we were over the last six
41:29
months, right? So we were down the bottom left-hand
41:31
zone. The color, this is for you, Josh. But
41:33
you want to be there. You want to be
41:35
on the bottom right? Absolutely. We were there
41:37
the entirety of 2023. But is that
41:39
why it's that dark colored green? Yes, because good things
41:41
happen. That's the best place to be. Yes. So
41:44
now we're drifting away from that. We're
41:46
drifting in a spot that's now historically
41:48
more average returns. But here's the kicker.
41:52
It's really unusual that
41:54
this move clockwise, usually
41:56
it moves counterclockwise. In other words, when we're in
41:58
the bottom left, expect to
42:00
go to the bottom middle this way
42:02
and then start going higher. So
42:05
we think and Neil would. That's
42:07
a re-acceleration of inflation. That's why that
42:09
happened. Right. But where Neil's
42:11
coming down is these data points that
42:13
we're seeing, the long-term data points would suggest
42:15
that that rate of change, that inflation is
42:18
going to continue to move in a
42:20
favorable trajectory. And what we've really seen
42:22
is kind of these random four
42:25
or five indications that have popped, but
42:27
they've had enough weight in the
42:29
inflation prints to give us more
42:32
than what's really underlying trend inflation.
42:34
And so the idea here is it's a
42:36
very unusual move. The only time that we
42:38
did something like this before was when Saddam
42:41
Hussein invaded Kuwait and we
42:43
had the oil shock. Right. So
42:45
it was a spike in. It was exogenous. Exogenous to
42:47
that. Exactly. And so
42:49
it was a supply shock. It spiked the
42:51
inflation and then we went right back into the
42:53
end of the clock. So
42:55
this is an unusual period that we're
42:58
living through, obviously, with inflation falling, new
43:00
trend and growth still doing
43:02
reasonably well. Yesterday, Powell
43:04
said, I don't understand where concerns about stagflation
43:06
are coming from. Stagflation in
43:09
the 1970s was 10% unemployment, high single-digit
43:11
inflation, slow growth. Now we have
43:13
solid 3% growth and inflation under 3%. I don't see
43:15
the stag or the inflation. Right. I
43:17
think that's totally fair. I want to ask your
43:19
opinion on- Stagflation, by the way, would be there.
43:22
Put the clock. Put the clock
43:24
back up. I have
43:26
one more question on this. It would be in the
43:29
top left to top middle. That
43:31
would be your high inflation, lousy
43:33
growth, middling growth. Not where we
43:36
are. So, Jeff, the Y
43:38
axis here is inflation. The X axis
43:40
here is S&P 500 annualized monthly return.
43:42
Who says he doesn't know he's talking
43:44
about that? And what we're saying here
43:47
is where the hot dot is right now.
43:52
It's not in some sort of, for those who are listening,
43:54
it's not in some sort of a danger zone. It
43:57
just tends to lead to average returns. The
43:59
buck. is white. Correct. Okay.
44:03
So this is not something to be alarmed about. This is my question. If
44:05
we continue to move clockwise, which you
44:08
said does not happen very often, and
44:10
we get into that top left hand
44:12
corner, it's still a
44:14
white box where the average returns
44:16
for stocks prevail. But
44:20
if this is an aberration, that would
44:22
seem to be a huge aberration. That'd
44:24
be a big outsized event and probably
44:27
almost impossible without some question. So almost impossible
44:29
is the thing. Could
44:31
oil prices do it? Sure, absolutely. That's
44:34
usually the driver of inflation. But so would you
44:36
and Neil sit there and say, well, it's just
44:38
oil prices? Or that passes
44:40
through. That's a big deal. Okay. So
44:43
then you would say, okay, now the
44:45
clock is a doomsday clock because it is continuing
44:47
in the wrong direction. It's in a bad spot
44:50
and your clock is slow. That's
44:52
a bad outcome. And by the way, that's white and it's a
44:54
low number, 2.74% is a low number. So
44:57
why is it white? It's because it happens so
44:59
few times. 41 is the number of instances
45:02
that statistically it's too few to
45:04
really... What is
45:06
200 basis points? How much confidence do we have in 240 basis points? Not
45:10
enough to make that call. So
45:12
expectations, John, please. Expectations
45:14
of a Fed cut increased yesterday during
45:17
and after Powell was speaking. Are you
45:19
surprised for people that are listening,
45:21
not watching, are you
45:24
surprised that the expected basis points
45:26
of total threat cuts in 2024
45:29
drifted lower the entire year as
45:31
the market seemed to really not give a shit at all?
45:33
I mean, eventually did, but maybe that was just noise when
45:35
it pulled back because rates went higher. Were
45:37
you surprised by the path of this juxtaposed with where the S&P
45:39
went? And what do you think of
45:41
our chartsmanship? Good God. I'm trying to
45:44
digest what you just said. I got to
45:46
get in Josh's crib here. Let me
45:48
think about this. So in 2020, we
45:50
ignored all of these dwindling... Odds
45:56
of cuts. But in 2023, this was
45:58
all that mattered. The market
46:00
was rallying heavily on expectations of a
46:03
fed cut Yeah, that peaked and the
46:05
market seemed to not give us crap. It
46:07
kept going higher. Yeah, you already
46:09
dropped the s-bomb So you might as well say it again.
46:11
I didn't know this cable first and foremost Look
46:15
the the
46:19
The the amazing thing to me has been since
46:23
Basically a year ago. Well, that's Before
46:26
that the forward curve right
46:28
when you look at the forward expectations The
46:30
forward curve has continued to be wrong, right?
46:32
The forward curve was we've got three more
46:34
months of hikes and then we're gonna get
46:37
cuts cuts cuts cuts Right and that is
46:39
just not played itself out and the market
46:41
hasn't Really cared one way
46:43
or the other now I think it got to
46:45
an extreme back in October Right and then it
46:47
reversed and that gave us, you know, obviously the
46:49
nice tailwind that we've seen over the last six
46:51
months But now there's some concern that that's not
46:53
gonna happen. And so we were getting this correction
46:55
and that's you know taking place I
46:57
don't know how long that's gonna go Powell seems to Intimate
47:00
that he's not gonna hike but maybe he has
47:02
to push this off a little further But he
47:05
took the hike off the table yesterday, right? You're
47:07
right, right So that was something that was a
47:09
concern that was out there that's gonna affect that
47:11
probability, right? The question is is is it one
47:13
is it two is it three this year? How does
47:16
that look and that's all gonna be inflation-dependent as he
47:18
said And if you look at
47:20
Neil's work in in how he's thinking about
47:22
these data points Within
47:24
three months the the alignment
47:26
with Powell's testimony yesterday with
47:29
the data Should come to
47:31
fruition other words by the middle of the summer We
47:33
should be in a pretty good spot if those data
47:35
points kind of go back to acting the way they
47:38
should and not have this kind Of random synchronicity that
47:40
they had that really threw things off One
47:42
thing that's been powering the market higher has
47:44
been consumer spending consumer resilience in the face
47:46
of higher inflation And it's pretty astounded to
47:48
see that consumers are not changing their spending
47:50
habits But there is one area
47:52
where where it started to come to fruition and that is
47:55
where people are spending their money in terms Of fast food
47:57
Pizza Hut is having some issues
48:00
who's Starbucks
48:02
yesterday was an absolute abomination
48:04
of a conference call. In fact, the
48:06
CEO started with, and I'm quoting, thank
48:10
you, Tiffany, and thank you all for joining us this afternoon.
48:12
Let me be clear from the beginning. Our
48:14
performance this quarter was disappointing and did not
48:16
meet our expectations. Our Q2
48:19
total company revenue was 8.6 billion, down
48:21
1% year over year. Global comp store sales
48:23
declined 4%. Negative
48:26
11% comp growth in China. Our
48:28
global operating margin contracted by 140 basis points.
48:32
And our overall earnings per share declined by 7%. This
48:35
is a wild open statement, and you've
48:37
probably seen this before. I never have, where you
48:39
see a gigantic gap
48:41
on a monthly candlestick chart, because it
48:43
happened. That's the beginning. John, we have
48:45
this chart. So look at this. These
48:49
are monthly candlesticks. I've never seen this
48:51
before. So this thing gapped down
48:53
17%. Ugly. What
48:56
about the five year price chart, John? From,
48:59
is it a Y charts? So
49:01
I'm not showing you candlesticks. I'm just
49:03
showing you price. This looks like
49:06
it's on the way toward the lows
49:08
from the pandemic. That's crazy
49:10
to me. Starbucks
49:14
ended the day down 15.84% yesterday. This
49:19
is the worst day for Starbucks since March 16th, 2020.
49:22
It was down 16.2% on
49:25
the day that the world came to an end. So
49:28
that's remarkable. Our
49:32
research associate, Sean, tells me, Wednesday
49:35
ranks as Starbucks' third worst day
49:37
in public company history. Its
49:39
actual worst day was July 1999, down 28%. Not
49:44
sure what happened there. And
49:46
again, minus 16% in March, 2020. The
49:50
CEO went on with Kramer. Kramer
49:52
cooked him. He was on
49:54
with David Faber, Carl Quintanilla, and
49:56
Kramer. And it was like, good
49:59
cop, bad cop, cop and Kramer just
50:01
lit him up. One
50:04
of the things that he said, which is relevant
50:06
to our discussion now, the CEO, the
50:08
occasional customer to Michael's point,
50:11
he kept saying, I think he said it 50
50:13
times in 15 minutes, the occasional
50:15
customer is visiting less. Then
50:19
he also cited deterioration of economic conditions, which
50:21
I'm not so sure about. He said weather.
50:24
Weather geopolitics in the Middle East was
50:26
an issue. It was really bad. Kramer's
50:29
like, what if you just priced yourself out of the
50:31
market for what people want to spend? Well,
50:34
they did. They did. So I am
50:36
a Starbucks daily drinker. He said, despite
50:38
strong mobile and order pay and sales, we
50:40
saw a mid teens percent order in completion
50:43
rate within the order shown on this past
50:45
quarter. In other words, they're
50:48
using they're putting items into their cart and they
50:50
sometimes choose not to complete their order. Siding
50:52
long wait times. It's not wait times. It's
50:55
so expensive. I do. It's a
50:57
$9 coffee. It's so I just I just get
50:59
the dark roast. That's it. I'm
51:01
a very simple man. And I've started to,
51:03
you know what? I don't feel like spending $4
51:05
today. And I've started to make
51:07
coffee at home, which I would never not make or don't make. You
51:10
put that make out. Not not make out. But
51:12
it's just our question. Our question is, what is
51:14
your order at Starbucks? I'm a
51:17
venti cappuccino extra shot whole milk. You know,
51:19
slightly wet. So what do you spend? So
51:21
you're at 75. That's a $7. I
51:23
don't know. I don't know anything
51:25
about that. That's a $7 plus. That sounds
51:28
like a $7 handle. But I went from I went
51:31
from the devotee category
51:33
to the occasional category.
51:35
So I brought in an espresso machine, which is fantastic, by
51:38
the way. I was 365 days a year. And
51:42
I'm probably down to 320 and I'm definitely not unique.
51:44
Now you're an occasional customer. So you know, I'm
51:46
still 85% of days. But
51:49
is this a canary in the coal
51:51
mine for consumer spending and therefore the
51:53
entire Starbucks
51:55
issue. We could look at
51:57
the gas. Look at look at Chipotle. Look
52:00
at Dominos. All right, look at McDonald's. They said the same
52:02
thing. Yeah, but look at Texas Roadhouse. I'm
52:05
sorry. So I think at best, that's
52:07
a stretch. I think it's very idiosyncratic. Well, there's companies
52:10
on this side that are able to raise prices, and
52:12
people keep going, to probably be a great example. And
52:14
then there is McDonald's and Starbucks, and people are starting
52:16
to say, you know what? Because at
52:18
some point, with some of these
52:20
foods, like, if I'm going to spend $16 for this,
52:23
I'll either spend $20 or $25, or I'll just make it at home. Yeah.
52:28
When we look at
52:30
industry groups, we do it equal weight, so we eliminate
52:32
the Amazon effect, right? This is
52:34
a consumer discussion. Yeah. And when
52:36
we go through, for restaurants specifically, we'll look at
52:38
the Russell 3, because that way we get a
52:40
huge population. But they're all equal, right? So
52:43
we'll get a huge population. And the restaurants
52:46
in the Russell 3 are still in an uptrend. Restaurants in
52:48
the Russell 1 are still in an uptrend. I know it's
52:50
just one thought, but... Yeah, Texas Roadhouse. But there are... Well,
52:53
that doesn't... They have the lemon pepper. That
52:55
doesn't count. I mean, come on. No,
52:57
the point is, there are some restaurants that are
52:59
killing it, and some are getting killed. Shake
53:02
Shack had Unbelievable Earnings yesterday reported. Yeah, and
53:04
Shake Shack's not cheap. And the stock held
53:06
up, and they don't sell cheap shit. Yeah.
53:10
So I am more than
53:12
occasional visitor. He's in the loyalty program. They
53:14
don't even have a loyalty program. They don't
53:16
even have a loyalty program. The royalty program,
53:18
homes. All right. Can we do Apple? This
53:22
is the second largest publicly traded company on Earth,
53:24
right? Microsoft bigger now? So I actually feel like
53:26
for the first time in a while... But you
53:28
answered that because I would not have known what
53:30
the bigger one was. Microsoft's bigger. I'm pretty sure.
53:32
They oscillate. Is that the right... I
53:36
think that Apple is marching at the beat of its own
53:38
drum and off. The market doesn't need it anymore. Unless
53:42
they see something... I think you're right. Unless they
53:44
see something really horrific about the consumer.
53:46
True. Probably okay. But
53:49
I think that for the most part, the Apple story is
53:51
actually an Apple story and less of an overall consumer story.
53:53
Well, here's the story on Apple. We're
53:55
looking for literally negative 10% on
53:57
iPhone revenue. Which
54:00
is half the company's revenue. Nobody's expecting anything.
54:02
It's not great. Yeah services should be up.
54:04
It's the only growth business there Um,
54:07
not a great chart. We're gonna tell you not
54:09
a great chart Not a great chart and I
54:11
think uh, nvidia Has been
54:14
the primary beneficiary of money out of
54:16
apple Like I think it's literally
54:18
handing market cap not market share market
54:20
cap to uh to nvidia Um,
54:23
this is their fifth out of
54:25
the last six quarters of
54:27
sequential year-over-year Revenue
54:29
contraction. That's really rare.
54:31
Yeah, and It's
54:34
not even like selling at 16 times earnings. It's
54:36
like a 28 times earning story uh,
54:39
so the market might not need apple But
54:42
a really bad reaction in apple is gonna
54:44
and we're gonna notice it I
54:47
mean we're gonna run this show tomorrow. So I don't want
54:49
to like go crazy on prediction, but I
54:51
still think it's important Well, here's so chart up
54:53
there keep it. So I so the chart that
54:55
I just made is apple divided by q's This
54:57
is weekly. Yeah, so it's it stopped going down
54:59
relative to the q's over the last couple of
55:01
weeks But this could break hard tomorrow. Yeah,
55:04
or or not or it could bounce who knows
55:06
I mean, I would think it would bounce from
55:08
there, but not to change like so that's in
55:10
our views That's that's just that's just the apple
55:12
week Yeah, the reason the reason I should pull
55:14
up because it's Kind of
55:16
falling off our radar. I can tell you this that the
55:19
50 day cross through the 200 day about three
55:21
weeks ago Um, you
55:23
know just as a very simple definition of trend
55:26
um, and so it went from well, you
55:28
know Tech is leading tech
55:30
is leading to this is actually rolling over
55:32
and looks vulnerable. That's not good Yeah,
55:35
so I would I would actually expect that to
55:37
rally and i'm a seller of the rally tell
55:39
you what else happened We found out
55:41
in the middle of february that berkshire hathaway had trimmed
55:43
its apple position in q4 For
55:46
the I think for the first time since
55:48
they started to invest in it That's
55:50
a larger shareholder and that was
55:52
the buyer of Basically every share
55:54
that someone else sold either was
55:57
bought by the queues the company
55:59
buyback or And
56:01
that dynamic is now not I
56:03
mean, maybe they started buying it again. Yes your
56:06
point. Nobody is expecting That's
56:08
the good news and and they
56:10
also are probably not gonna have a great
56:12
number from China Which I
56:14
think the expectation is it's like negative
56:17
14% China sales and people are
56:19
paying attention to that now It's a really key market to them.
56:21
You know always scares me about technology Is
56:24
the old saying that in the long run
56:26
every technology company makes toasters? I
56:29
mean, I thought that would have been true with this
56:31
thing ten years ago. It was true with Blackberry is
56:34
true with Motorola It's like at some point It's
56:36
probably gonna be true right unless they catch up
56:38
and they can somehow figure it out and the
56:41
toaster companies never figured out services Our
56:43
software I get it there. There are
56:46
differences. I'm sure there will be a question.
56:48
Don't worry about I just worry about You
56:50
know it becomes so ingrained in who we
56:52
are and what we do well iPhones Not
56:54
growing but some right and and something else
56:56
comes along. Um, well, it's not the vision
56:58
Pro at least not I'm sure
57:01
that'll come up and it's just been it's just been
57:03
an absolute bomb. Can we look at your Can
57:05
we look at your bullish call in
57:07
December based on escape velocity? Looking
57:10
for 5,800 by year end sure and
57:12
then you have a thrust indicator
57:15
Confirmation here right? So tell us the story.
57:17
What are you telling when Matt clients right
57:19
now? So there's two there's two ways that
57:22
we think about momentum One
57:25
is through trend which is path of least resistance. Think
57:27
about trend is I spilled this Delicious
57:29
margarita on the table and somewhere it's gonna
57:31
end the call will kill you The
57:34
path of least resistance somewhere that margarita will end up on
57:36
the floor. So that's the trend Then
57:38
we think about rate of change and rate of
57:40
change is momentum how quickly what's the velocity of
57:43
this thing? And so if
57:45
you don't have trend in a market If
57:47
you just wait for trend the risk is we
57:49
all know it the risk is that you're gonna be late Not
57:51
that it's gonna be completely wrong It's just gonna be
57:53
not as you're not gonna be as invested as
57:56
quickly or selling as quickly as you
57:58
might otherwise be able to So momentum Momentum
58:00
helps you bridge that gap and say, okay,
58:02
look, between a bearish trend and a bull
58:04
market, is there something I can do to
58:06
get myself in a more
58:08
favorable position? And momentum is one of those
58:10
things that we find. So
58:13
this is internal momentum. This is exactly what
58:15
we talked about with the 20-day lows, except
58:17
these are 20-day highs. Right? Okay. So when
58:19
we look at 20-day highs, again, that 50%
58:21
number tends to be a good number. You
58:23
can see our little green arrows. You can
58:25
see the forward returns. Those forward returns are
58:27
generally better than not. Now, there's a couple
58:29
other stipulations we use with that.
58:32
But the punch line here was we're
58:34
coming off of an extreme sentiment condition
58:36
in October, and all of
58:39
a sudden, we punch 20-day highs into
58:41
about 71%. That's
58:44
obviously a huge number on this chart. But
58:47
I'll tell you, in the last, whatever
58:49
it is, 70 years, since 1957, that
58:53
has only happened 70% or better six times. Wow.
58:56
So it was a really, really
58:58
unusual, bullish example. The
59:01
three-month forward return, when we get sorry,
59:04
the 71% is the percentage of stocks
59:08
making a 20-day high on the S&P. On the
59:10
S&P. Correct. Okay. So
59:13
the three-month average returns, zero
59:15
times was the market down from that point,
59:18
the day after, not including that day, right?
59:20
That the close of that day. Zero
59:22
times is the market down. One
59:25
quarter out, the average return was 9%, which we got.
59:29
And this is essentially the end of the year,
59:31
so it's close enough. Six-month returns were 14%, which
59:33
we haven't seen yet, but that tells us
59:36
there's still some dry powder left in this
59:38
thing. And 12-month
59:40
returns are 22%. Again,
59:43
zero losses, right? So the average
59:45
is 22%. So obviously, some are a little higher, some are a
59:47
little lower. But we looked at that
59:49
along with the sentiment and just said, look, this is a pretty
59:52
unusual number. We don't get this
59:54
very often. And
59:57
this is going to catch people off guard. So
1:00:00
certainly for the first six months, we got to
1:00:02
maintain this bullish stance. If
1:00:04
things deteriorate or there's something that happens in between,
1:00:06
we can reassess it. But between now and then,
1:00:09
these numbers are just too powerful for us to
1:00:11
ignore and say, well, I think it's the Middle
1:00:13
East or coming up with some bullshit issues. And
1:00:15
this was you at the beginning or at the
1:00:17
end of last year? This was officially December 14th
1:00:19
of 2023. So
1:00:21
let me ask you a question though. So I
1:00:24
understand that and bread thrust and there's
1:00:27
a psychology behind that. Why
1:00:29
all of a sudden is everyone buying
1:00:31
all these stocks? It can't be bearish. I
1:00:33
agree. But you also mentioned before
1:00:36
that you look
1:00:38
for mean reversion. This is not
1:00:40
one of those things that you're looking for mean
1:00:42
reversion in. No. Okay. Why?
1:00:45
Well, the history tells us that, right? And
1:00:47
usually after you get this escape velocity or
1:00:49
these thrusts, there's an element of time that
1:00:52
develops before you end up with the reversionary
1:00:54
factors being a problem. Now we go back
1:00:56
to that rolling alpha that I talked about.
1:01:00
Right now in the rolling alpha, I don't know exactly where it
1:01:02
is. I'd say it's probably in the 70th percentile. We worry when
1:01:04
it gets in the 90th percentile.
1:01:06
So it's not the reversionary
1:01:08
factors that we concern ourselves with, which
1:01:10
are long-term, by the way. They
1:01:13
don't tend to be very, very short-term. They're
1:01:16
just not in a position that's overly
1:01:18
concerned. Okay. I like that. And
1:01:21
I think most people, when
1:01:23
they see a bread thrust, they have one
1:01:25
of two reactions. Either they don't
1:01:27
notice it or even think too much
1:01:29
about why it's happening, which I
1:01:31
think is why most people. But
1:01:33
then there are people that do notice it,
1:01:35
and they're usually under-invested. Like for
1:01:38
me, that's a signal for people to chase. Absolutely.
1:01:40
That's exactly right. And but- It's like you're
1:01:43
not in the game. But what
1:01:45
is people's reaction to that, which is usually,
1:01:47
it's up too much, it's overbought, so I'll
1:01:49
wait for a pullback. And then guess what?
1:01:52
It never comes. It never comes. The game
1:01:54
go away is bullshit. Better to
1:01:56
sell in July and say goodbye. I
1:01:58
haven't heard that one before. I've been around for a long
1:02:01
time. Boom. And then
1:02:03
there's some tie-ins presidential election
1:02:05
years. Let's throw this one up. You
1:02:08
mentioned before that May normally is the
1:02:10
bottom of the market for
1:02:12
presidential election years. I
1:02:14
have a lot of opinions about why I think this
1:02:16
time will be different. I
1:02:19
think most people do, but walk us through this chart.
1:02:21
This is a composite. Yeah. So back to 1928, you
1:02:24
got two lines here. The gray
1:02:26
line is seasonality in every
1:02:28
other year other than an election year.
1:02:30
Right. So the year after the interim
1:02:32
midterms and the year before and
1:02:35
this is a two-year chart by the way. So you get kind of a
1:02:37
census what's going on. The
1:02:39
red is just specifically election years
1:02:41
that yellow stain is the the
1:02:45
election week. Right. So that's one excellent choice
1:02:47
of words. I might have said bar. What
1:02:49
stain is that? Good. So
1:02:52
the red dot is where we are today.
1:02:55
You can see that typically we will
1:02:57
continue to weaken into the Memorial Day
1:02:59
holiday. But as people start chirping about
1:03:01
selling me and go away that actually
1:03:03
ends up in presidential years being the
1:03:05
bottom. Now a word of caution statistics.
1:03:08
This is obviously a fourth the sample
1:03:10
size of what you'd have otherwise. 1928
1:03:12
to 2024. So
1:03:15
it's 40 different election years,
1:03:18
roughly. Right. 40
1:03:20
different cycles in here. 25, right? No,
1:03:23
I don't know. 100 divided by 4. Oh, yeah. Okay.
1:03:26
All right. So all right. So this
1:03:28
so we have 25 years that this
1:03:31
is an amalgam of. Yes, correct. So,
1:03:33
you know, it's not terrible,
1:03:35
but you know, you can still drive a mid-sized
1:03:37
car through it. But it's interesting how different it
1:03:39
is from correct. And that's what really stands out
1:03:41
is that this point right here, you know, I
1:03:43
wouldn't tell you in other from the gray, but
1:03:46
the end up in the spot,
1:03:48
which is also equally as interesting, correct, which
1:03:50
means that we rip right in June, July.
1:03:53
Right. And that's the that's the risk. Let
1:03:55
me ask this. Does does any individual year
1:03:57
actually look like this? Uh,
1:04:01
that's a good question. Does any of the 25
1:04:03
instances? All right. Uh, I think you, I think
1:04:08
this is one of those years that if it's
1:04:10
going to be aberrant, it'll make sense in hindsight.
1:04:13
Of course, this didn't look like a typical election year.
1:04:16
There's a non-zero chance that we actually don't
1:04:18
have an outcome to this election. So
1:04:20
I mean, it's, I'm just saying like, this is kind
1:04:22
of where we are. Okay. I don't want to say
1:04:24
more on that. We did China, Michael, what else? Oh,
1:04:27
should we do this? Let's just, let's do some of these
1:04:29
charts. We spoke about this earlier, so
1:04:32
we could just work through this quickly, but some of these are
1:04:34
too good to pass up. Yeah, I agree. Okay. Uh,
1:04:37
so all right. First one is the
1:04:39
Shanghai Shenzhen 300. What are we looking
1:04:41
at here, Jeff? Well, that's a
1:04:43
downtrend, right? But it looks like it's changing.
1:04:46
And now when I want you to point,
1:04:50
uh, what I want to point out is look
1:04:52
at that off the low, right? Look at that
1:04:54
just almost straight up right through the, through the
1:04:56
50 day, which is that red line. Uh, wasn't
1:04:58
even there. Like it wasn't even there, right? I'm
1:05:00
going to wait for a pullback. No, this
1:05:05
chart is, this chart is saying that the
1:05:07
Yuan is going to be the world's new
1:05:09
reserve currency by the end of this year,
1:05:11
as we devolve into civil war and chaos.
1:05:14
I don't know. Uh, this is like, this
1:05:16
is a remarkable move. It's a good move,
1:05:18
but that's what we call an acceleration wall.
1:05:20
That's why momentum is important, right? Because if
1:05:22
we're waiting for the 50 day across to
1:05:24
the 200 day, we're still waiting, right? But
1:05:26
we have momentum. It gives us an early
1:05:29
peak that the high probability of a trend
1:05:31
change is the bottom pain. That's your proprietary
1:05:33
oscillator. But you know, this
1:05:36
is so hard. Clearly just by the naked
1:05:38
eyeball and it's a very sophisticated naked eyeball.
1:05:40
This looks like a trend change, but the
1:05:42
downtrend is so powerful. Like you,
1:05:45
would you be, rolls over. It looks
1:05:47
like there was a fake out in 22 in 22. Yeah. But we didn't have the negative
1:05:53
alpha, right? So you've got the setup, which
1:05:55
is you just had this relentless
1:05:58
pounding of negative return. And
1:06:00
so for every quarter every year that
1:06:02
goes on when you get these thrusts again,
1:06:05
we could be wrong But we'll be
1:06:07
wrong by this much and
1:06:09
if we're right, we're right. What is the Shenzhen
1:06:11
300 look like? like
1:06:15
sector-wise That's
1:06:17
not important I don't
1:06:19
know at all. Yeah, somebody was just asking me. I was
1:06:21
just in a meeting before and somebody asked me they said
1:06:23
look We get what you're
1:06:26
saying China important How
1:06:28
should I play it? I'm like, what do you
1:06:30
mean? How should I play? Well, what sector should
1:06:32
I own? I'm like, all right first and foremost.
1:06:34
Let's do this by the index Right when you
1:06:36
when you get a when you get a raging
1:06:38
bull coming off a low Don't dick around trying
1:06:41
to figure out what your you know I think
1:06:43
I'm so smart because whatever is the leadership group
1:06:45
is going to become the largest correct It's
1:06:47
gonna become the largest waiting in the index
1:06:49
anyway, right? So why only the only thing
1:06:51
that we found consistently if it's a new
1:06:54
bull phase is beta. That's it So sometimes
1:06:56
beta is energy. Sometimes it's not sometimes base
1:06:58
tech. Sometimes it's not just make sure you
1:07:00
have beta That's really what you want. So
1:07:02
to your point about this just being the
1:07:04
negative excess returns in China This
1:07:07
looks nothing like the previous other
1:07:09
failed break breakouts. It's just the
1:07:12
the downward movement and for the audience
1:07:14
Jeff, what are we looking at? So
1:07:16
the bottom pane is What's
1:07:20
the best way to put this this is looking at the
1:07:23
amount of return I'm getting per unit of
1:07:25
risk Versus the MSCI
1:07:28
World Index literally off the charts literally off
1:07:30
the charts at the downside. Right? So
1:07:32
I mean this is getting all the volatility that you
1:07:35
would get from every other stock market and that literally
1:07:37
never making money from it Right at this point you
1:07:39
married this with the sentiment which we got to in
1:07:41
a second You just have to say all right just
1:07:43
close your hold your nose and buy stuff. That's what
1:07:45
that is This is this is the you hold you
1:07:47
know any other charts in the world that look like
1:07:49
this some health care charts in the US
1:07:52
like Life
1:07:56
Science Tools, I'm kind of bullish on on
1:07:59
on that idea. Yeah, so I think
1:08:01
the Biden administration there was just a ton
1:08:03
of fear. About drug prices and you
1:08:05
know what the government was in a common to
1:08:07
do. He. Might not be the president
1:08:09
three months or six months or whatever. like.
1:08:12
I. Think there's some really great set up their side
1:08:14
way. What else a the else. I
1:08:16
would send the other side of the
1:08:18
ledger. Homebuilders. Are actually excessively
1:08:20
bullish. Returns to the point I
1:08:23
want to marry discuss Mcnamee the
1:08:25
same, but the. Return. Profile
1:08:27
Risk Just Return. Profile of the homebuilders
1:08:30
is almost exactly what was in two
1:08:32
thousand and Five. It's a sounds. Very.
1:08:35
Interesting about. I. Love I love
1:08:37
it was that's when you want to do
1:08:39
these. yes I'll flows ah at last Lee's
1:08:41
Summit celebrate yes it is. So this
1:08:43
is for the such noise you appalling money
1:08:46
out of what are the big Chinese
1:08:48
yes besides say well as or sized athletic
1:08:50
I do have as you forget about
1:08:52
the tech one right? So it's A shows
1:08:54
A people had essentially said why am
1:08:56
I target why it went away on these
1:08:58
when invidious going up everyday eat or
1:09:00
how much nicer allocators answering clients and it's
1:09:03
like absurd. Why perfect. How long could
1:09:05
you go on descending. That he and right
1:09:07
right? Okay, I love, I love the idea of
1:09:09
what the crisis Dude, I've heard this year or
1:09:11
not I don't care for I say the same
1:09:13
thing. I'm tired of your convictions like about Ah
1:09:15
John. from a good the metal sort of. So.
1:09:18
There is a correlation between China and and
1:09:20
battles. It's like one of those things that
1:09:23
have that I. And. He doctor
1:09:25
copper when I do that. but like
1:09:27
it really matters a lot to serve
1:09:29
for the medals, right? Pittance intuit. Okay
1:09:31
so what's going on here specifically the
1:09:34
red wine is the or the relationship
1:09:36
the relative performance of copper vs. gold
1:09:38
rights. The idea is our industrial metals
1:09:41
outperforming monetary dc.org Chart yell jeb So
1:09:43
this is moving higher. It's you'd wanna
1:09:45
see this confirming with a move and
1:09:47
in China it is. So it's It's
1:09:50
just gives us a little more comfort
1:09:52
that what's happening in China. Isn't
1:09:54
just an aberration, but it has some fundamental
1:09:56
discipline? Or Jeff? Is there a chance that
1:09:59
this is the. tail wagging the dog and
1:10:01
people see Chinese stocks rally and they reach
1:10:03
for the more leverage way to play it,
1:10:05
which is copper. Maybe,
1:10:08
but I don't know if you have all the charts in
1:10:10
here, but it's happening in aluminum. It's happening in gold.
1:10:12
It's too broad. It's too broad for that to be manipulated.
1:10:15
I would buy that correlation. That makes sense to me. Yen
1:10:19
depreciation drawing attention. Yeah,
1:10:22
I saw people chirping about this. I mean, this is as
1:10:24
long as I've been in the business. Japan,
1:10:26
all they ever do is intervention.
1:10:29
Why is this a story now, do you think? Well,
1:10:33
because you've got yield curve control, right? So now they
1:10:35
have to kind of, they have to
1:10:37
decide, are they willing to let
1:10:39
the tightness be reflected, the
1:10:41
normalization of the yield curve be reflected
1:10:44
in the currency, which chokes off the
1:10:46
recovery, or do they want to keep
1:10:48
the currency in a competitive
1:10:50
landscape without being. They
1:10:52
have positive real yields on JGBs now
1:10:55
or close? I
1:10:57
think it's right there. Okay. So they
1:10:59
have a stock market at 33 year highs. So
1:11:03
what is this about from their perspective? It's
1:11:06
a good question. I'm not exactly sure what the
1:11:09
angst is, but I mean, it's
1:11:11
a bad chart. Does
1:11:13
this look like a reversal to you or way too soon to tell? That's
1:11:16
a bounce and a downtrend. So when that gets
1:11:18
overbought, that's absolutely simple. You've
1:11:22
got a lot of work to do to take that and
1:11:24
reverse that. So
1:11:27
you guys in late February, so you
1:11:29
mentioned the momentum names just got too
1:11:31
hot. The
1:11:34
stove is now burning whatever you put
1:11:36
on the- Not only that, but you
1:11:39
had the momentum differential, right? The
1:11:41
high momentum names versus low momentum
1:11:43
names. That differential was extreme. But
1:11:46
you also in the option market started to
1:11:48
see that the pricing
1:11:50
of upside was higher to
1:11:54
get the, to capture the
1:11:56
upside than it was to protect the down. That's backwards.
1:11:59
I remember reading. I remember reading this note
1:12:01
and not fully understanding the chart that you
1:12:03
included in it. So
1:12:05
maybe I can ask you why I got confused. This is the
1:12:07
Russell 1000 Momentum Q1
1:12:10
through Q5 performance. These are core
1:12:12
tiles within the Russell or?
1:12:15
Yeah, so you take the top 200 names, right? That are the
1:12:17
best performers over the last 12 months. Okay. You
1:12:20
take the worst 200 names and you just pair them off
1:12:22
against each other. Okay. And
1:12:24
that spread, we then because that spread was about
1:12:26
14%. So that's the thing that you're saying was
1:12:28
extreme. That's 200 versus the worst
1:12:30
200. Correct. Okay. So
1:12:33
why is that important to you? Because at those extremes,
1:12:35
it usually means that people have crowded into momentum
1:12:37
and that's the point where it's unsustainable. Okay,
1:12:39
got it. So where are we now? So we
1:12:41
went from the 96th percentile to the 81st
1:12:44
percentile. Historically, you will take it
1:12:46
at least back to the 50th percentile. You have to
1:12:48
go to the 10th. So when you do see that
1:12:50
in the 50th percentile, is that your
1:12:52
signal on a contrarian basis to say, I'm interested
1:12:54
in momentum again? No, not yet. Okay,
1:12:57
that's not what that means. No, it just says
1:12:59
it's just not the fact the factor, the factor
1:13:01
excesses have gone away and it's probably moved on
1:13:04
to something else quality. I think it moves on
1:13:06
to beta, but that's a lot of any of
1:13:08
the momentum stock ETFs or any of those meaningful
1:13:10
to your work. I don't follow them because everybody
1:13:13
has a different definition. When the momentum wanes
1:13:15
like this and it goes from the
1:13:18
90th to the 50th or whatever it is, are those no
1:13:20
longer momentum stocks? I don't think it reset. We
1:13:24
do it every quarter. So yeah, they can reset,
1:13:26
but really what you're seeing is, and I think
1:13:28
that's one of the reasons that you're seeing this
1:13:31
recent pickup in utilities, this recent
1:13:33
pickup in staples, is that they
1:13:35
were in the bottom 20%. So
1:13:38
as the high flyers
1:13:40
correct, the caterpillars that you showed and
1:13:42
the invidious, you've had Duke
1:13:45
energy breakout. You've had some
1:13:47
of these other procter and
1:13:49
gambles broken out. We have three of them breaking out.
1:13:52
We have consumer status. So
1:13:54
we keep our own list of
1:13:56
the best stocks in the market, predominantly based
1:13:58
on how they're acting. fundamentally
1:14:01
good. There's
1:14:03
24 left on the list and
1:14:05
I think half of them are utilities and staples. Jeff,
1:14:08
you're left. Such is another of my
1:14:10
trading hilarious stories. So I bought XLU
1:14:13
right near the bottom when it was going to puke and
1:14:15
the spread between XLU and SPY was at
1:14:17
an extreme. And I got annoyed
1:14:19
and frustrated and I sold it right over there. You
1:14:24
want him to put a bandaid on that? I
1:14:27
don't know. What do you want him to
1:14:29
do with Matt? My situation. You know what?
1:14:31
You know what works? Tequila works to kill
1:14:34
Matt. Hey, semiconductors, another call that you got
1:14:36
right. In early March of 24, you cited
1:14:40
the Momentum excess there. AMD reported
1:14:43
this week and I don't want
1:14:45
to say blew up, but negative
1:14:48
reaction. We've seen Intel
1:14:51
have a rough time. We went
1:14:54
from a situation where every name in the
1:14:56
SMH was up huge. Now it's gotten more
1:14:58
selective. Do you think that'll continue? I
1:15:01
absolutely think it will continue. This is the
1:15:03
excess returns. The exact same thing I showed
1:15:05
you with China. This
1:15:07
is just for semiconductors. There's
1:15:09
an old saying, price to
1:15:13
perfection. This is quantifying that. All we're
1:15:15
doing instead of somebody just shooting the
1:15:18
breeze and saying it, we're putting this to numbers.
1:15:20
And what this is saying is, look, if
1:15:23
you believe trees grow to the sky, then no problem. This
1:15:25
is going to work. But the idea is that once you're
1:15:27
up here, what you're really
1:15:30
asking is that every unit of
1:15:32
return per unit of
1:15:34
risk is going to continue at this torrid pace. And
1:15:36
we just don't see it that way. It
1:15:39
never happens. It can be as perfect as
1:15:42
the semiconductor trade had been for
1:15:44
a very long time. And I think
1:15:46
what's important, Josh, is that's not a
1:15:49
repudiation of AI. That's not how that's
1:15:52
going to change the world. None of
1:15:54
that has anything to do with this,
1:15:56
right? This has to do with people
1:15:58
looking at that narrative. and
1:16:01
extrapolating it into the ionosphere.
1:16:04
So let me redeem myself. I sold AMD 185 for the layout.
1:16:07
There we are. There we are. There we
1:16:09
go. It's too steep. Semi's
1:16:12
and semiconductor equipment option score. What's
1:16:15
in here? So that's exactly what we're talking
1:16:17
about. Yes, that's when we're talking about the
1:16:19
upside being priced versus the downside. That's
1:16:22
the extreme. So you want both the momentum
1:16:25
and the extremes in the pricing. Let's do
1:16:27
this last chart. We'll do Nvidia. How
1:16:31
about a chart? No, I'm kidding. This
1:16:33
is like, in my view, what
1:16:36
Nvidia has undergone in the
1:16:38
last three years is probably
1:16:40
one of the most magnificent
1:16:43
stories ever for growth
1:16:45
stocks. So it says nothing about where the
1:16:47
stocks can go from here, but just like we
1:16:49
really have not had a lot of Nvidia's throughout
1:16:52
the course of stock market history. It's
1:16:54
a really special and unique situation. A
1:16:57
lot of things make it that unique and that special.
1:17:00
I do think that there got to a point in
1:17:02
February, March, where if you were
1:17:04
a professional money manager and you
1:17:07
called yourself a growth manager and you didn't have
1:17:09
an allocation to Nvidia, you look
1:17:11
like an insane person, basically. There's like
1:17:14
career risk times 10 on
1:17:16
something like that. Because not only
1:17:18
was it such an amazing performer, it
1:17:20
became the fifth largest stock in the country. So
1:17:23
not owning it was not just underweighting it,
1:17:25
but really putting your career in jeopardy. You're
1:17:27
afraid of the trend. Okay, so that's probably
1:17:30
what drove the rest of the semiconductors quite
1:17:32
frankly. Sure, absolutely. Where are we now? Well,
1:17:35
so this is, I put this up because
1:17:37
this is specifically that
1:17:39
option score that we talked about, right? So
1:17:41
those red arrows are pointing, look, it happened
1:17:44
back in July of 23 too,
1:17:46
right? So this is
1:17:48
the point where the option pricing is
1:17:50
more aggressive for upside exposure than it
1:17:52
is to downside exposure. So
1:17:55
people buying calls are paying higher and higher
1:17:57
premiums. They're worried about the upside. They're worried
1:17:59
about the... It's about not catching the upside. Let's
1:18:02
say the stock is at 100. I
1:18:06
can buy a call for at 120. I
1:18:08
can buy a call for $5. That
1:18:11
same put at $80, so
1:18:13
same delta spread away, is
1:18:16
at say $10. The
1:18:19
cost of insurance is lower
1:18:22
than the cost of capturing the
1:18:24
upside. That's crazy. It's crazy. Yeah.
1:18:28
I'm going to go crazy at the time. That's the bell. That's
1:18:30
us where we just say, look. Again,
1:18:32
if we look 12 months out, I can't tell
1:18:34
you that it's worse or better. It's about the
1:18:36
same. If I look three months out, it is
1:18:39
definitively worse. If I look out six months, it's
1:18:41
kind of, yay. What you do,
1:18:43
in our view, you wait for when you have
1:18:45
that, you take that back to either at best,
1:18:47
you take it back to a market weight, but
1:18:49
you probably underweight it. There are different option strategies
1:18:51
you can employ to try to capture
1:18:54
that differential. You wait for
1:18:56
an oversold condition to develop, and you use that because
1:18:58
it's still within an uptrend to say, okay, this is
1:19:00
my chance to now step into this because it's still
1:19:02
within trend. We've burned off some of
1:19:04
the success sentiment. I still want to own the stock.
1:19:06
This is my opportunity. There is a universe where this stock
1:19:09
has to be 1,000 just because it feels
1:19:11
like it's a magnet pulling it there. That's
1:19:15
not extreme. It's an $850 stock. $85
1:19:18
stocks go to 100 all the time. If
1:19:21
this had done a 10th to 1 split, and
1:19:23
we're trading at 85 right now, nobody
1:19:26
would seriously say it can't get to 100. For
1:19:30
some reason, 1,000 both seems like it's
1:19:32
a magnet, but also seems like it's
1:19:34
going to be a ceiling. So
1:19:36
I don't know. So you're a micro to the same
1:19:38
thing, right? Yes. I don't really
1:19:40
know what to do with this, but I know
1:19:43
it's the most vexing stock in the market right
1:19:45
now, both for bulls and for bears. You're
1:19:47
closer to the oversold condition, which was a buy. That was
1:19:50
maybe a week ago. We
1:19:54
think it will still in trend. That's
1:19:56
the good news. If you're a long-term holder,
1:19:58
I think you're still fine. I would worry
1:20:00
and I would actually take action
1:20:02
and reduce the positions. Um,
1:20:05
if you broke under the low that we had, whatever that
1:20:07
was two weeks ago. So what was that? I can't
1:20:09
remember the number 20. Yeah. It's probably, I
1:20:13
don't think it had a seven 50. Oh, it got
1:20:15
that low. What was that? Was that, Oh, I was
1:20:17
on vacation. That was cause Taiwan sent me, uh, today
1:20:20
warning or they, I'm glad I didn't notice, but
1:20:23
it didn't last. It was there for a day. No, it
1:20:25
was, it was rolling over and then that hard break and then
1:20:27
it immediately recovered. So that was that hard break was one of
1:20:29
those days where 20 day, 20 day
1:20:31
low spiked and video recaptured. I'm just eyeballing 50% of
1:20:34
the loss. So is that the
1:20:36
individual stock chart people ask you the most
1:20:38
about or Tesla? Oh, in video,
1:20:41
in video more so than Tesla. I think they
1:20:43
probably know what you're going to say on Tesla.
1:20:46
Yeah, I think that's probably true. That's probably fair. Right.
1:20:48
Okay. So, but we've also, we've also been talking about
1:20:50
Nvidia, right? So we were cautious on it three months
1:20:52
ago. So now they're kind of like, what have you
1:20:55
done for me lately? Where, you know, where are we?
1:20:57
How do we think about that? So Jeff, you've
1:20:59
been, you've been really right on a lot of key things
1:21:01
in this market. What is something that we didn't ask you
1:21:03
about that you think is going to be important in the
1:21:05
second half of the year? No doubt about it. And I've
1:21:07
not been, um, I've not been
1:21:10
as sharp on yields. Okay. Um, I
1:21:12
would have expected yields to be flat,
1:21:14
not up flat to down, frankly, what
1:21:16
10 year yields. Yeah. Um, if
1:21:20
we break through 5%, you know, our, our
1:21:24
bullish leanings are not going to be great.
1:21:26
That's going to change your opinion on stocks.
1:21:29
The market will change our opinion. I'm sure the market
1:21:31
will do it itself. But I think the risk where
1:21:33
we are right now, when we look at our yield
1:21:35
impact model and we look at some of the things
1:21:37
that historically, um, would be a detriment, because keep in
1:21:40
mind, the 10 year yield
1:21:42
drives valuation too, right? So the higher
1:21:44
that goes, the more the valuation, uh,
1:21:47
pinch starts to hit. Why is
1:21:49
5% the number? Because that round
1:21:51
number, that's it. Yeah. That's
1:21:53
it. What do you mean the old high
1:21:55
from 18? Yeah. From November. Oh, the old
1:21:57
high. It's not getting to 5%. Yeah. think
1:22:00
it is either famous last words wait why
1:22:02
not old enough to remember when 3%
1:22:05
was gonna I'm half kidding I'm half kidding it just first
1:22:07
of all looks like it looks technically it looks like a
1:22:09
top you know better than I Jeff but based on based
1:22:12
on Powell's testimony yesterday the the
1:22:15
the risk that they're going to do another hike it's
1:22:18
over you would have to see a significant upside
1:22:21
surprise in inflation and I think that's
1:22:23
unlikely but if you have the
1:22:25
so the risk to that is that if you
1:22:27
don't if you don't take care of
1:22:30
inflation soon enough and I I'm with
1:22:32
you I agree with that but if you
1:22:34
don't take care of inflation quickly
1:22:37
enough then and growth is
1:22:39
strong enough then you can support
1:22:41
those higher yields right that's that's the risk
1:22:43
what you they're walking a
1:22:45
very very fine line here because you
1:22:48
want to push yields to the point where you actually break
1:22:50
that lower but you don't want to push this into recession
1:22:52
right so you want to break that lower that then
1:22:55
allows you right you take the yields to 4% but
1:22:57
that allows you to cut
1:22:59
rates by 150 basis
1:23:01
points on the short end and then you normalize the curve
1:23:03
and things are back to money in the bank to the
1:23:05
Fed yes okay so when I give opinions I'm a betting
1:23:08
man so I like to sort of quantify what I'm at
1:23:10
I don't think that when I say I don't think the
1:23:12
10 years you want to 500 5%
1:23:14
if I needed odds making this up if
1:23:16
I needed odds like what would it take
1:23:18
to get me to bet on 5% I'd
1:23:20
say like plus 275
1:23:23
something like that that's not about fair from
1:23:25
the guy with the Nick shirt on sure yeah that's
1:23:27
all right yeah I'm with you
1:23:31
yeah yeah just a graph ladies and gentlemen you
1:23:33
have fun on the show it's great why
1:23:36
haven't you been back all this time is it my fault
1:23:38
we can't let this we
1:23:42
can't let this length of time lapse in
1:23:44
between your appearances you're you're too
1:23:47
informative for us I'll come
1:23:49
for Cinco de Mayo and I want to the holiday you know
1:23:53
your Christmas fair across the street who made the marks
1:23:55
you are Eric Eric by pouring
1:23:57
in the 1800 Margarita mix into
1:24:00
the cooler that we bought at CBS in
1:24:02
aisle nine. Okay, wait what's the tequila
1:24:04
in here? Oh,
1:24:06
this is 1800. Where
1:24:08
did the mix come from? It's like powdered mix?
1:24:11
No, no. Oh, like
1:24:13
the bottle. Well, it's delicious. Straight from Mexico. Straight
1:24:15
from Mexico. It's getting the job done. This is
1:24:17
what's important. Let's do favorites. You got music for
1:24:19
us? What do you got? You. Me?
1:24:23
What are you talking about? I have something here. Go ahead.
1:24:26
No, you. Oh, the favorites. You
1:24:29
were fast about my books or whatever
1:24:32
and I said, you know, the one
1:24:34
that really jumped out to me this
1:24:36
week was fried chicken and evil
1:24:38
women. That sounds like it's a country song. Do
1:24:40
I have that right? It's not going to win any Grammys, but I think the title
1:24:43
should. Whose song is that? I don't even
1:24:45
know. I just saw it. Oh,
1:24:47
who's the country? Are you a country music guy? You
1:24:50
know, I have to say I
1:24:52
am. That's a
1:24:55
yes. So am I. I saw
1:24:58
what's his name? Luke
1:25:01
Brian. Yeah. No,
1:25:03
Zach Brian. Zach Brian. In Long Island, like
1:25:05
two weeks ago or whatever. He played UBS.
1:25:08
Yeah, but he also played the old Coliseum.
1:25:11
Oh, he did? Yeah. Okay. It
1:25:13
was one of the best shows I've ever seen. Tyler Childers on that?
1:25:15
No, he was not on that show. Who else was on that bill?
1:25:17
I just saw him in Tennessee. Okay. I
1:25:19
saw him with Winchester, 49 Winchester. Okay. Fantastic.
1:25:23
They were an opening act. They will not be an opening act for
1:25:25
long. Oh, really? Yeah. That's pretty good. Okay.
1:25:29
49 Winchester. So did you hear the, did
1:25:31
you hear the country song that remakes the rap song tipsy?
1:25:34
Did you hear that yet? No, that's
1:25:36
like one of the top songs on the country
1:25:39
charts right now. I think it might be the
1:25:41
only case ever of
1:25:43
country artists doing a remix, a
1:25:45
remake of a rap song, but
1:25:48
it's like pretty good. Like I don't hate it. I
1:25:50
thought I would hate it, but it's not bad. All
1:25:52
right. So we have a song from the show, or if you have
1:25:54
it here, Gin and Juice
1:25:57
by the Gourds. Oh yeah, I've heard that. Okay.
1:26:00
That's good. That's a good call back
1:26:02
unbelievable My song title reminds me of
1:26:04
fried neckbones and some home fries by
1:26:06
Santana. All right. Yeah I don't
1:26:08
know that one but the song is better than this song
1:26:10
But it's fried chicken and evil women
1:26:12
about exactly what you think it's about I
1:26:15
just caught the I just caught the course. I really
1:26:17
couldn't catch the rest of it adding to Spotify Michael
1:26:19
you got a favorite for us. I rewatched for the
1:26:21
first time since I saw it originally 10 years ago
1:26:24
John Wick, I was at a 10 year
1:26:26
old movie already. That's what goes fast. That's
1:26:28
wild You know, I can honestly believe my
1:26:30
neighbors are like ready to kill me. They're
1:26:32
like, what do you mean? You've never watched
1:26:35
a John Wick movie. I'm like I had
1:26:37
it. Well, how did how did you escape it? I don't know You've
1:26:41
never seen it either. Of course. Oh, I know I've
1:26:43
never seen it's phenomenal I've heard great
1:26:45
things and I have no idea how I've not seen it What
1:26:47
did you pick up this time that you forgot it from the
1:26:49
first time you saw it? Oh, I'm sorry.
1:26:51
Yes, because I was I was working while I was
1:26:53
watching so his background as background movie All right, but
1:26:55
but you but you loved having it in the back.
1:26:58
Love it. Okay, if you want to
1:27:00
watch something in the foreground I'm gonna recommend
1:27:02
Ripley on Netflix. Mmm. It's
1:27:04
black and white. All right, classy.
1:27:06
Yeah, right Did
1:27:08
you see the movie the talented mr.
1:27:10
Ripley? Okay, how good was that movie
1:27:12
by the way fantastic? Okay that that
1:27:14
thing Philip Seymour Hoffman. Come on, right
1:27:16
shows up. He steals the movie. Yeah
1:27:19
eats up every scene He's in Gwyneth
1:27:21
Paltrow. Yeah, Matt Damon So this
1:27:23
is based that was based on a book. They
1:27:26
went back to the book as source materials This is not
1:27:28
a remake of the movie. They made
1:27:30
a television series for Netflix
1:27:32
just now where They
1:27:35
go back to the book and they flush
1:27:37
it out a little bit more and so it's
1:27:39
like I think it's eight episodes Yeah, and
1:27:42
it's incredible could tell he shot on location
1:27:44
by size this right? Yeah The
1:27:47
scenery is amazing. The cinematography is amazing. Did
1:27:49
you did you watch it yet? I'm
1:27:51
one episode in I'm liking it It's pretty cool. Right?
1:27:53
Yeah. I like it. Why does it seem like it's
1:27:55
so special the way it was shot? What is it?
1:27:57
What is it about that? Well,
1:28:00
I think it's Elswit, a famous cinematographer
1:28:02
who has done a lot of beautiful,
1:28:05
beautiful films. Why do you think they chose to
1:28:07
film it in black and white? Because it takes place
1:28:09
in the fifties and they wanted to- A noir kind
1:28:11
of feel, I think. Oh, it's a film noir feel.
1:28:13
Yeah. Okay. I think
1:28:15
it's gonna get really good. I'm in episode three, but
1:28:18
it's like the pace is speeding up as
1:28:20
you go. It's like one of those shows. Is
1:28:22
the actor or the cast anybody you know? Who's
1:28:25
in the show? Nobody. They're
1:28:27
all unknown. Yeah, I don't know though. You
1:28:30
know what? You know why that's smart? Because how do you
1:28:32
recast that? The movie was full. That's true. That's a good
1:28:34
point. So what, like, are you gonna put three new movie
1:28:36
stars in it? Do you have the same, like,
1:28:39
is the Philip Seymour Hoffman character there? Nothing like
1:28:41
him. Okay. Yes, he's in it. Yeah. But
1:28:44
it's, again, they didn't remake the movie. They went back
1:28:46
to the book. Got it. So whatever
1:28:48
the artistic choices were behind the movie
1:28:51
were thrown out and it's
1:28:53
like somebody starting fresh with the original source
1:28:55
material. Yeah. I think it's really well
1:28:57
done and I like that it's not somebody trying to be
1:28:59
Matt Damon. That'd be hard to do. We put it
1:29:01
in the damn hard to do. But
1:29:04
you see a movie, right? A good movie. And
1:29:06
then you read the source material where
1:29:08
they clearly took artistic license. Yeah. Now
1:29:11
you're making another film, or not a
1:29:13
film, but a series. Yeah. That doesn't
1:29:15
want to replicate the movie but it's coming from the same
1:29:17
source material. It's really hard. I wanted it to be good.
1:29:19
But you have to let a lot of time pass. Yeah,
1:29:22
that's fair. Let's face it, like Jude Law is one of one.
1:29:25
Matt Damon is one of one. Like you're not
1:29:27
going to get an actor who does their best
1:29:30
Jude Law impression. Right. So I
1:29:32
like the choices they made with this. If
1:29:34
you've never seen that movie, you'll enjoy this. And
1:29:36
if you saw the movie last week, you'll still
1:29:38
enjoy this. Nice. So
1:29:41
I thought it was very well done. So everyone check
1:29:43
out Ripley. Okay, that's it from us this week. I
1:29:46
want to thank everybody that joined us in LA once again.
1:29:49
When are we going to have that out? Do we know? Did
1:29:51
we put a time on that? Go
1:29:54
ahead. Monday. Monday. I
1:29:57
think we're breaking into two though. Just so we'll have
1:29:59
to see. how it comes together in post. We'll
1:30:01
do it in post. Because we had two guests on it.
1:30:03
Bellamy Forrest, Time Sensitive? Yeah, we'll see. You guys will figure
1:30:05
that out. All right, so
1:30:07
shout to the listeners and the viewers. Thank
1:30:10
you guys for checking us out all week.
1:30:13
Special thanks to Jeff DeGraff
1:30:15
of RenMac. Where can people
1:30:17
learn more about Renaissance Macro? Well,
1:30:19
you can follow us on Twitter, which is
1:30:22
RenMac LLC, or at RenMac LLC. I can
1:30:24
go to our website, and
1:30:26
we have a podcast every Friday, which you can
1:30:28
pick up on. The Twitter account
1:30:30
as well. Podcast listeners,
1:30:33
listen to the RenMac podcast.
1:30:36
The newsletter is
1:30:38
go.renmac.com slash newsletter.
1:30:42
So if you want more insights from Jeff and the
1:30:44
gang, that's where you're going to get them from. We
1:30:47
appreciate all your amazing charts and
1:30:49
all your time today. Thank you so much for coming by
1:30:51
Hang with Us. Guys, it was fun. Thanks
1:30:53
for having me. All right, take us out.
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