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0:00

Here's everything you need to know

0:01

before the Fed's decision tomorrow. This

0:04

week is all going to be about data and

0:08

the Fed setting us up to react

0:11

appropriately to the data that we're

0:13

going to get this Friday and then of

0:14

course four weeks from now. And that has

0:17

to do with the jobs report because my

0:19

expectation along with Nick theos from

0:21

the Wall Street Journal is that the

0:23

Federal Reserve is not going to cut, but

0:25

they're going to set up their signal for

0:28

a September rate cut. Now, tomorrow we

0:31

will be covering the Federal Reserve

0:33

meeting. The meeting actually starts

0:34

today and it ends tomorrow and we'll

0:37

have the rate cut decision at 11:00 a.m.

0:39

The market is only pricing in a 3.1

0:42

percentage point that we are going to

0:45

get a rate cut tomorrow. Now, I don't

0:47

think the market is going to be

0:48

disappointed that we don't get a rate

0:50

cut tomorrow. In fact, the bond market

0:52

is already falling with a 6.2 uh point

0:56

drop on the 10-year today despite the

0:58

fact that we're not really expecting a

1:00

rate cut tomorrow. Part of that is

1:03

probably because,

1:05

well, we're setting up for that

1:07

September rate cut. Now, the question is

1:09

going to be, what is JPAL going to tell

1:12

us tomorrow about rate cuts? Are we

1:15

going to get a one and done or is this

1:17

going to be the start of a series of

1:19

cuts? Well, that's what we're looking to

1:22

set up the conditions for tomorrow. And

1:24

what he's likely to tell us is that it's

1:26

all going to come down to the next jobs

1:29

reports. Hey, if we have jobs reports

1:32

that have been strong as they have been

1:33

in the last few months where our average

1:35

job gains are plus or minus 150,000,

1:38

then maybe we need an adjustment in

1:40

September, maybe one more in December

1:43

and that's it. So, in other words,

1:45

complete alignment with the market that

1:47

we get about, you know, one to two rate

1:50

cuts this year and that's it. We just

1:52

wait and see and we enjoy the soft

1:55

landing that we're so blessed to have so

1:57

far in this economy. Now, the worst case

2:00

scenario obviously is something that the

2:02

market just is not discounting for at

2:04

all right now, which we're okay with

2:06

because, you know, stocks we've been

2:08

pitching in the alpha report, for

2:10

example, like AMD, uh, keep absolutely

2:13

breaking through every single one of our

2:15

lines and riding support to all-time new

2:18

highs. Make sure you're part of the

2:19

Alpha Report. If you haven't yet signed

2:21

up, go to meet.com, use that coupon code

2:23

before it expires on Friday, and the

2:25

price goes up. It's the end of the

2:26

month, so the price is going up. That's

2:28

it. Uh JPAL is going to set us up to

2:32

say, "Hey, you know, if for whatever

2:34

reason the jobs market does start

2:37

rolling over, then we'd be prepared for

2:40

maybe even a larger cut in September,

2:43

which could be a 50 basis point cut

2:45

because remember, the Fed does not meet

2:47

in August. So you've got a whole month

2:50

of no Fed ahead of us. So, in other

2:54

words, whatever JPAL sets up tomorrow,

2:57

we've got to just hold our breath with

2:59

for the next 6 weeks without any meeting

3:01

from the Fed in August. Sure, we might

3:04

get commentary from the Fed, but no

3:06

actual Fed meetings until that September

3:08

17th meeting. So, usually what JPAL

3:12

likes to do is give everybody an

3:13

expectation. Hey, if for some reason

3:16

there's a weakening in what we get in

3:17

the underlying data, obviously we might

3:19

go with a double cut or a larger series

3:22

of rate cuts. Now, here's what to know.

3:25

The data that we got this morning was

3:26

broadly in line with expectations.

3:28

Really no stress in the Jolts report

3:30

coming in at 7.437 million versus the 75

3:34

expected. No big deal there at all. It's

3:36

actually consistent with a strong stable

3:39

economy. There's just no bad data there.

3:41

That's very good. Job openings rate 4.4%

3:45

slightly lower than the previous 46. No

3:48

big deterioration. Quits rate 2% versus

3:51

21 prior. Little smaller number there on

3:55

quits. Usually signals a little bit of

3:57

sort of nervousness about uh do I really

3:59

want to transition a job in this job

4:01

market? No is the answer. Uh but this is

4:03

not a surprise. Layoff level came in a

4:05

little bit higher than expected, but

4:07

nothing super scary on the Jolts report.

4:09

and the consumer confidence survey came

4:11

in broadly in line with expectations. Uh

4:14

you could even call it a marginal beat.

4:17

Uh when you look at some of the

4:18

components, you get some things like,

4:21

hey, it feels like the job market is the

4:23

weakest since we've seen since March of

4:26

20 21, which is odd because I always

4:28

thought of the jobs market as being

4:30

like, you know, all of a sudden really

4:31

strong in 2021. So I have a hard time

4:33

reconciling this right here. uh but uh

4:35

they said that job availability weakened

4:38

for the seventh consecutive month

4:40

reaching the lowest level since March of

4:42

2021. And that's job availability, so

4:45

potentially fewer hiring. You know,

4:47

maybe we didn't get that hiring boom

4:48

until really later in 2021. Maybe as

4:51

some of that PPP money started showing

4:53

up, which everybody knows in the

4:54

business world showed up pretty freaking

4:56

late. But anyway, uh expectations still

4:59

for the sixth month in a row below the

5:02

recessionary threshold. uh which is not

5:05

good uh because once you fall below that

5:07

it's a recessionary signal. But we've

5:09

been sitting below that for a while and

5:11

really you know we sat below the

5:13

recessionary signal for like 3 or 4

5:15

years uh when everybody was expecting a

5:17

double dip recession after the 2008

5:19

financial crisis and it didn't end up

5:21

meaning we went into another recession

5:23

until frankly co. So I don't know that

5:25

this is really meaningful. We did see

5:28

some intentions for spending on services

5:31

decline. Mixed big ticket services

5:34

expend, you know, and and like cars and

5:36

homes and other big ticket items like

5:38

appliances and intentions for that sort

5:40

of spending declining a bit. It's

5:42

possible this is just part of the normal

5:44

sort of seasonal slowdown where people

5:46

start saving as we go into the holidays.

5:48

It's also possible that people just

5:50

don't save at all and we end up using

5:52

more BNPL. But then again, there's

5:54

literally no central database that tells

5:56

us how much total BNPL data is out

5:58

there. So, you know, good luck, I guess.

6:00

Uh but uh but anyway, I mean, broadly,

6:03

economic data is strong right now. We

6:05

will get an ADP jobs report uh along

6:08

with uh Q2 GDP data, which uh is your,

6:12

you know, second read on this Q2 GDP

6:15

data. I don't see that as a catalyst at

6:17

all. I see ADP not really as a catalyst

6:20

at all either given it's so volatile.

6:23

75,000 is the expectation this time

6:25

compared to the negative 33 prior. We'll

6:27

get challenger job cuts on Thursday

6:29

morning. Not really a catalyst. PCE is

6:32

not really a catalyst. The components of

6:34

PCE are already known and people extract

6:36

them from CPI and PPI and figure what

6:39

PCE is going to be. Core PC expected to

6:42

be.3 big deal. The bigger thing is

6:44

non-farm payrolls. That's Friday

6:46

107,000. And the issue here really comes

6:49

down to what we actually think the final

6:52

jobs read will be. So this is where we

6:55

generally don't like breaking the

6:56

100,000 jobs number. If we come in under

7:00

a 100,000 jobs, let's just be real. Most

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no-brainer. If we come in under a

9:05

100,000 jobs, people are going to start

9:07

getting a little bit more nervous about

9:09

discounting for a recession. Now, the

9:12

reason for that is because when we fall

9:14

under a 100,000 jobs in the actual jobs

9:16

report, the market starts assuming, oh

9:19

my gosh, well, we need to assume we're

9:22

going to lose 100,000 jobs for

9:24

adjustments because remember how they

9:26

always come in with like high jobs

9:27

reports and then they revise them down

9:28

later. Well, the market knows that.

9:30

Okay, we all know that the initial

9:32

number is fugazi and so we kind of like

9:35

adjust our expectations for that. We're

9:37

like, "All right, if it comes in at 99,

9:39

that really means we're negative 1. If

9:41

it comes in at 144, like it was last

9:43

time, we're really at positive 44. Hey,

9:45

the party's still going." But remember,

9:47

the problem with last uh month's jobs

9:50

report was that we only generated about

9:52

15,000 jobs outside of healthcare and

9:55

outside of government. So what happens

9:57

if we get a real slowdown in government

10:00

and healthcare? We've got no legs left

10:02

to stand on in sort of the chair of the

10:04

labor market. Now people ask me always

10:07

ask me Kevin like you know what's what's

10:09

your bull bear scale or whatever you

10:11

know like where where's your positioning

10:13

in case you're not familiar with it.

10:14

I'll give you a quick breakdown of it in

10:16

case you're not familiar with it. Uh

10:18

when I'm on one it means sell

10:20

everything. I'm like rarely at one. uh

10:23

when you're at 10 it's get as much

10:27

margin as you can go all in and then

10:30

somewhere in between is you know well

10:32

somewhere in between so right now I I

10:34

feel I we're sort of at like a 39 and

10:37

the reason I do that is because I see

10:39

valuations high

10:41

sell everything but I see it as like a

10:43

cautious place where you're like hey

10:44

ride the wave you know I've got

10:46

Palanteer stock you know like ride the

10:48

Palanteer wave stock I've had that for a

10:50

very long time I've got a bunch of old

10:52

accounts and and volunteers stock in

10:54

there. It's done very well, but it's

10:55

like ride the wave, but set that

10:57

trailing stop, right? Uh so that way if

11:00

if you know the tides change, hey, you

11:02

take your attendees and and you pay off

11:04

other debts or you preserve yourself in

11:06

the event of a job loss or whatever,

11:08

right?

11:09

uh mostly because the reason I sit sort

11:13

of below even a five because I I

11:15

understand momentum in markets has been

11:17

very enthusiastic but I think we face a

11:20

small chance of a very very big poopy

11:23

dupy. That's not to be bearish. It's

11:25

just saying that you know I think we

11:27

face maybe a 30% chance of something

11:30

that's going to be just devastating to

11:32

the economy for a decade. Uh so I kind

11:35

of wrote this out this morning in the

11:36

live stream a little bit. I I said that

11:39

uh it's it's not that we face a a you

11:42

know small risk. It's that we face a

11:45

small chance of a big risk, right? A big

11:48

risk happening. Uh and the big risk is

11:51

basically a 2 to 3xing of the uh the

11:53

unemployment rate. And so now all of a

11:55

sudden the Fed starts printing the money

11:57

printer. You know, people are like, "Oh,

11:58

the Fed's going to cut rates." Oh, wow.

11:59

That doesn't do anything because

12:00

historically it never does anything.

12:02

Historically, it's running the money

12:04

printer that bails out the markets. But

12:06

what if you start you cut rates to zero

12:09

and you start running the money printer

12:10

and it's not working and then you're in

12:12

a hole for a decade because the

12:14

unemployment rate is just permanently

12:16

higher. And and the reason I think the

12:18

unemployment rate will be permanently

12:20

higher is because of AI, right? Like

12:22

poor people are getting screwed in the

12:24

BNPL cycle. The BNPL cycle is really

12:27

interesting because it's new this cycle,

12:29

right? We didn't have BNPL in prior

12:31

cycles. So, we don't know how bad those

12:33

defaults could hurt consumers,

12:35

especially like they're literally now

12:38

wanting to add uh this to FICO scores

12:41

potentially right before poop hits the

12:43

fan. It's like worst time to add it to

12:46

FICO scores. It's like, yeah, right

12:48

before a potential, you know, recession.

12:49

If we have a recession, you know, add

12:51

add BNPL to FICO scores, then people

12:53

default and they're screwed for seven

12:55

years, right? AI is obviously new this

12:57

cycle. And then sort of the mainstream

12:59

it's supposed to say mainstream crypto

13:01

this cycle right so crypto treasuries

13:04

right so corporate crypto treasuries

13:07

that's more new this cycle compared to

13:09

like a 2008 not considering co although

13:12

even in co we didn't have that many uh

13:14

crypto treasuries so we have some real

13:16

new elements here I'd say the big one is

13:18

AI and I'll just give you a quick bottom

13:21

line but to me uh you know with AI and

13:24

we've done this a lot at house hack with

13:26

AI we find that fewer people with AI get

13:32

way more done than many people

13:34

delegated, communicating with them,

13:37

training them, all this crap. We get

13:40

much more done with fewer people in AI

13:42

than we do with many people in no AI,

13:44

you know, before the AI days. This is

13:46

different obviously from House Hacks AI

13:48

SAS that we're developing. I'm talking,

13:50

you know, hopefully we can launch that

13:51

in Q4. I'm more talking about like you

13:53

know just using chat bots to help you

13:56

draft documents or whatever right or or

13:59

you know just sort of daily office style

14:02

work. So, uh, the question that people

14:05

then have is, okay, well, if money, and

14:07

this is what's so unique about the

14:09

cycle. If money from labor

14:12

goes into AI, that's great, right?

14:15

Because like if you take someone's

14:17

salary and put it into buying chips,

14:19

cool, you're still buying something and

14:21

it creates a velocity of money. But the

14:24

question is, what happens if the money

14:25

goes from somebody's salary into an

14:29

investment? And this all comes down to

14:31

the velocity of money. You see, so we

14:33

gave this example here. We said, imagine

14:35

somebody has $150,000 salary. Well, once

14:38

you factor in workers comp, benefits,

14:40

time off, etc., they cost about $200,000

14:43

to a company. That's expensive. If they

14:46

work 240 days per year, which is a

14:48

typical work year, that means they need

14:50

to generate an ROI of $833 per workday

14:54

to justify their existence.

14:57

If a company can generate this with AI

15:01

for $200 a month, uh, you know, uh, then

15:04

then why not just use an AI bot, right?

15:07

So like you have to exceed your cost per

15:09

day to be valuable to a company. Now, an

15:11

AI is really, you know, challenging this

15:15

equation. So like if a company generates

15:18

$1,000 per day, great. You get a stable

15:20

job, you get benefits, you win, the

15:22

company wins, everybody wins. If the

15:25

company's only generating a couple

15:26

hundred and you're costing $833 per day,

15:29

then the ROI is negative, right? And so

15:31

this is when people just like they lay

15:33

off employees over time or or they get

15:36

attritioned away. So the difference

15:40

though between a person receiving a

15:42

salary is when a person receives a

15:44

salary they spend money. You know they

15:47

buy food, they buy clothing, they

15:49

consume, they buy entertainment, they

15:51

buy stuff for their house, you know,

15:52

whatever. That creates about a four to

15:55

five times velocity of money cycle.

15:57

Think about the velocity of money as

16:00

every time you spend money, you know, I

16:02

go buy this this very happy coffee mug

16:05

here. Okay, I spent 20 bucks on this

16:08

coffee mug. The person who sold it to me

16:10

gets some money. The manufacturer gets

16:12

some money. Those people pay uh their

16:15

children. Their children go spend money

16:17

on toys at Toys R Us or whatever, right?

16:19

That's your consumer, your consumption,

16:22

four to 5x velocity of money. That's why

16:26

the government incentivizes

16:28

as much as possible you to go spend

16:30

money. All right. Now when a company or

16:34

a person saves money on a on on another

16:38

human being now that other human being

16:41

isn't spending that four to 5x on the

16:43

velocity of money. Now instead the

16:45

company is maybe investing into stocks

16:48

or real estate at only a 1.8 to 2x

16:51

multiple. There's still a multiple of

16:53

their investment but it's a lot lower

16:54

than the consumption uh form of spend.

16:57

Keep in mind 70% of our economy is

16:59

consumption. Well, then you you land in

17:03

a situation where you have a very very

17:06

big risk that could take, you know, a

17:08

decade to resolve with high unemployment

17:11

because of these these structural

17:13

changes. We just don't know how they'll

17:14

play out. And I think the market thinks

17:17

basically a big fat zero about all of

17:19

that right now. That's why I sit, you

17:22

know, on that lower end. Uh it's not

17:24

because I'm not like I don't want people

17:26

to make money. I love it. I mean, I I'm

17:28

making money off Palanteer stock, too.

17:29

You know, like the some of these things

17:31

that we're calling out in the alpha

17:33

report are absolutely killing it, too. I

17:35

mean, AMD, we've been following for a

17:36

while. We called the top on Open Door.

17:39

You know, we we we call these lines on

17:41

Tesla all the freaking time. Even this

17:44

morning, like I don't feel like Tesla

17:46

had a good run yesterday. It's probably

17:48

going to circle around 318 today. Wow,

17:50

it goes straight to 318 and bounces off

17:52

the line. Like, this is just these are

17:54

just consistent patterns at this point.

17:56

Uh but point being

17:59

uh why I sit where I do on sort of this

18:02

bare bull scale uh is is simply this

18:05

larger concern of does the market care

18:07

about any of this and right now the

18:09

answer is no. Uh and so hopefully these

18:12

next jobs reports which the Fed is

18:14

setting up are fine and we don't have

18:16

anything under 100,000. There's no red

18:19

flag that the Fed needs to cut rapidly

18:20

and none of it is really a a big deal.

18:23

That's that's a goal. uh and and a hope

18:26

that way everybody can just keep making

18:28

money and no problem. Uh but you know,

18:32

watch those layoffs. Uh it doesn't have

18:35

to happen rapidly overnight, but the the

18:39

scale has been tilted in favor of fewer

18:42

employees. I mean, look at just the what

18:44

the Wall Street Journal is saying now.

18:46

You go to the Wall Street Journal,

18:49

uh where was it? Right here. Look at

18:51

this. CEOs are now talking openly about

18:53

AI's immense capabilities likely leading

18:56

to deep job cuts. Yes. Like again, we

18:59

see this at House Hack as well. Uh and

19:01

it's so great because it means House

19:03

hack makes more money. House hack can

19:05

invest in more homes, but it's just bad

19:07

for the people who don't have salaries

19:10

who previously did have salaries because

19:12

now they have to go compete for a salary

19:14

somewhere else. Well, what if they can't

19:16

get as high of a salary somewhere else?

19:18

You know, what if now they have to take

19:19

a salary cut? Well, it's bad. And this

19:22

is why it's so important to insulate

19:24

yourself. Now, look at this. Amazon and

19:26

JP Morgan said in recent weeks that they

19:27

expected their workforces to shrink

19:29

considerably. Yeah, I mean, we we

19:32

already know that. In fact, there was a

19:33

um I thought this was interesting. There

19:36

was Oh, where was it? Uh there was a

19:42

video clip of Here it is. HVAC

19:45

technician explains how AI is even

19:49

coming for his job. Let's take a listen

19:52

to this really quick and just see how we

19:55

can loop this into what we're yapping

19:57

about here. So, you know me, I love

19:59

yapping. You should see me yapping the

20:01

alpha reports in the mornings. It's some

20:03

of the best yapping there is. Make sure

20:05

to get in before the coupon expires on

20:07

Friday. We are raising the price a big

20:09

chunk uh because it's the end of the

20:11

month and it's Fed week. So, uh, yeah.

20:14

Meet Kevin.com. Get lifetime access. You

20:16

pay once, you get lifetime access.

20:18

>> AI isn't coming for my job. I'm an HVAC

20:21

technician. No, it is. It is. Nah.

20:24

You're all screwed. You better get rich

20:26

quick because I literally was working on

20:29

a unit. I had not a damn clue. It better

20:32

It was better off speaking Chinese to

20:33

me. I had no idea what was going on with

20:35

it. Zero zip. I couldn't understand it.

20:38

See these? I took a picture, took a

20:41

video, explained what was happening. Uh,

20:44

you know, I gave the symptom within 35

20:47

seconds. It told me exactly what was

20:49

wrong with the unit and how to fix it.

20:52

AI is coming for your job, buddy. Yes.

20:55

This is actually really interesting

20:57

because I remember, you know, replacing

20:59

back in the day. Uh, so I would repair

21:03

uh appliances that would break at either

21:05

rental properties or or at home. Uh, and

21:08

I actually really enjoyed it. So, I

21:11

remember taking apart a washing machine

21:13

and I'm like, "All right, why is this

21:15

happening? It's sudsing up. It's

21:16

overflowing. What's going on?" And you'd

21:19

spend hours trying to diagnose like,

21:22

"What's going on here?" And uh, I

21:25

remember I felt so satisfied because I'm

21:28

like, "Okay, I think uh, one of my I

21:32

can't remember exactly what it was. It

21:33

was like a pressure switch or something.

21:35

I think this chip is the problem." And

21:37

it's, you know, it's like a $3 chip, but

21:40

now you have to order it and you have to

21:42

wait for it to show up. And you better

21:43

be right. Otherwise, you're out without

21:46

that laundry machine for even longer.

21:48

Replace the switch. Perfect. Freaking

21:51

washing machine crank for another 10

21:53

years, baby. Bought that washing machine

21:55

in 2011, got rid of it in 2021, and that

21:59

was only a one-year-old washing machine

22:00

at the time. So, it lasted us 11 years

22:02

before it like fully pooped out. But

22:04

that little $3 chip got me another 10

22:06

years in the product. But the point is,

22:09

none of that really has to do with what

22:10

this person just said with AI. The point

22:12

is, I think of the labor and the time

22:15

that went into that machine is probably

22:16

worth about, you know, 4 hours of labor.

22:19

Okay? 4 hours of labor as an HVAC tech,

22:22

you're probably the company's probably

22:24

billing out like 400 bucks, honestly. So

22:28

if AI can cut that that labor time in

22:32

half, it means every HVAC technician can

22:37

do twice as many jobs,

22:39

which means you potentially need fewer

22:42

HVAC technicians looking and going,

22:46

well, I think this is what's wrong. You

22:49

know, so it's kind of impressive. So,

22:53

uh, like I don't think you necessarily

22:55

need to have the Meta Ray-B bands to do

22:57

that. Uh, I'll let you know what I think

22:59

of them, by the way. Uh, I I bought them

23:03

because for well, I'm going to use them

23:04

for for when I fly because I think it's

23:07

going to be really cool for landing and

23:08

takeoff and stuff. Uh, the setup

23:10

experience was absolutely horrible. Uh,

23:13

big fail for Meta. But honestly, that

23:16

always gets me excited because when a

23:18

big company like Meta has a horrible

23:20

setup process, it just makes me go like,

23:22

really? This is a trillion dollar

23:24

business and they can't even like make a

23:26

setup process for a new device simple

23:28

and and intuitive for people. This is

23:30

pathetic. Um, who knows, maybe I got a

23:32

defective unit or or case or whatever.

23:35

But, you know, that seems like a problem

23:37

as well. But anyway, um, is interesting.

23:40

Something to think about. So, uh, you

23:43

know, this this is coming. Uh, a lot of

23:46

AC techs don't know how to properly

23:47

diagnose a problem. Well, I mean, think

23:49

about just the amount of different

23:50

issues that you could have with either

23:53

appliances or, uh, you know, mini splits

23:56

or, you know, condensers or furnaces or

23:59

whatever. You know, I remember I've

24:01

replaced the um, you know, I mean, these

24:04

aren't a big deal. The little uh, 12vt

24:07

um, what are they called? just the

24:09

little 12volt transformer, the 24volt

24:11

transformers uh for the furnace units

24:14

and you got to wire it all up and

24:15

replace them because they burn out. Pain

24:17

in the butt. But you know, if AI can

24:19

help you diagnose a problem like that

24:21

quicker, you don't have to go sit there

24:22

with your voltage meter and try to

24:24

figure it all out without shorting

24:26

something and causing more problems. All

24:28

right, so it's great. uh it's it's a

24:30

it's a wonderful revolution and it will

24:32

lead to a reduction in the number of

24:35

hours of work that are available for

24:37

people and ultimately it'll lead to

24:39

longerterm unemployment. So I do think

24:41

that's a that's a potential decade to

24:44

two decade problem that we face of

24:46

longerterm unemployment because you kind

24:48

of when you go through these innovation

24:50

cycles, you go through a cycle. So I'll

24:54

show you really quickly what I mean by

24:56

that.

24:58

uh you go through a period like this,

25:00

the innovation comes out, the innovation

25:03

causes the damage. Let this be the line

25:05

of jobs and then it takes a very long

25:08

time for you to get that ups slope of

25:11

net more jobs. Like in the long term, we

25:14

will have more jobs from AI innovation,

25:17

but this could be our future for the

25:19

next, you know, 10 years.

25:22

And uh it's unclear that markets are

25:25

really pricing this in. You know,

25:27

markets right now are pricing in post

25:29

tariff euphoria and momentum. Uh and

25:32

it'll be really interesting to see how

25:34

much longer the party can continue. But

25:36

uh you know, in the short term, the

25:39

Federal Reserve does usually lead to

25:41

some softening in stock prices because

25:43

people get nervous for the data. Uh it's

25:45

like, oh, is this going to be the week

25:46

the data finally turns? Probably not

25:49

based on unemployment claims, but

25:51

obviously we'll be watching and we'll be

25:53

covering it.

25:54

>> Why not advertise these things that you

25:55

told us here? I feel like nobody else

25:57

knows about this.

25:58

>> We'll we'll try a little advertising and

25:59

see how it goes.

26:00

>> Congratulations, man. You have done so

26:01

much. People love you. People look up to

26:03

you.

26:03

>> Kevin Praath there, financial analyst

26:05

and YouTuber. Meet Kevin. Always great

26:07

to get your take.

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