TRANSCRIPTEnglish

The Credit Crisis is Beginning.

25m 0s4,504 words651 segmentsEnglish

FULL TRANSCRIPT

0:00

There is talk about a 30 to 50% crash in

0:04

stocks in addition to terribly brewing

0:07

risks and enlarging risk in the private

0:10

credit market that nobody is paying

0:12

attention to today. I'm going to break

0:14

down both of these takes because right

0:17

now things don't seem that bearish. In

0:20

fact, think about it. We've got taco

0:22

going on or as Robbo Bank is now calling

0:25

Zako. That's because Xiinping always

0:28

chickens out as well. Apparently, you've

0:31

got Donald Trump likely tacoing. He's

0:34

already extending the trade deal with

0:36

Mexico. Uh my son just handed me a

0:39

trillion dollar credit card uh because

0:42

he says money is basically worthless. So

0:46

now he's giving me a credit card

0:48

denominated in trillions of dollars. And

0:51

we uh it's bad. You know what's bad?

0:53

when your seven-year-old says money is

0:54

basically worthless. I'm like, "Hey,

0:56

I'll pay you uh you know, to do this

0:59

chore." And he's like, "Well, you know,

1:01

am I going to get paid in cash?" Cuz cuz

1:03

that's basically worthless. Yeah. He

1:05

wants to be paid in other ways. He wants

1:06

real assets. [laughter] He's going to

1:08

start demanding Bitcoin or gold here or

1:11

deeds to real estate. But uh but anyway,

1:14

uh so you know, you've got the Zaco or

1:16

the taco going on this Thursday. You've

1:18

got the Fed setting up for a rate cut on

1:21

Wednesday with potentially or likely the

1:23

end of quantitative tightening. Uh but

1:25

then you've also got these fears about a

1:28

credit crisis. And that's actually where

1:30

I want to start right now is there's

1:32

this op ed uh that's written by this

1:35

private credit attorney. I I wanted to

1:38

check to see if they were like a hedge

1:39

fund or something shortening the market

1:41

or whatever because they seem pretty

1:42

bearish. But anyway, it's apparently

1:43

this private credit attorney and he says

1:46

that lenders are quietly rewriting their

1:48

collateral rules. And so basically what

1:50

he does is he goes in and says

1:53

everything looks great uh at the

1:55

headline. Like it looks like deal values

1:58

are skyrocketing. You're seeing more

2:00

credit deals being done. Earnings are

2:02

beating at banks. Credit spreads are

2:05

tight. Everything's Gucci, right? And he

2:07

says not so fast. What happened

2:11

historically in like the dot bubble and

2:14

in 2008 is that quote sophisticated

2:20

investors

2:21

start seeing warning signs and some of

2:25

them start quote fortifying against a

2:30

downturn. Not all of them because there

2:32

are also a lot right now that get

2:34

blindsided by these, you know, credit

2:36

blowups like what we saw at Tricoler or

2:38

First Brands where they're like, "Wait,

2:40

what? Those assets weren't really as

2:42

high quality as we thought, but the

2:44

rating agencies say they were worth a

2:47

AAA rating. Oh my gosh, what? The rating

2:50

agencies lied again? What? Wait, you

2:54

mean somebody who's financing the very

2:58

auditors who are covering up the fraud

3:01

might be pulling out credit default

3:03

swaps against the potential default of

3:06

these debts. What? By the way, exactly

3:09

what just happened with First Brands.

3:13

The auditor for First Brands had a bunch

3:15

of financing from Apollo. Apollo sees

3:19

that, you know, the auditor somehow they

3:22

get their hands on financials. Oh yeah,

3:24

come invest this or whatever. These are

3:26

toxic. And then they take out credit

3:27

default swaps against the bankruptcy of

3:29

first brands, which happens to happen,

3:31

which happens to be audited by the

3:33

company they lend money to. Certainly

3:34

makes you scratch your head a little bit

3:36

and go, hm, seems a little shady, but

3:39

whatever. Somebody always knows. And

3:42

that's the thing. Not everybody does,

3:44

but that's what makes it scary. And this

3:46

attorney is suggesting that lenders are

3:49

starting to actually change some of the

3:52

covenants, which are basically the rules

3:54

or the conditions of their loans, to be

3:57

a lot more stringent. They say that

4:00

lenders are quote actively preparing for

4:03

what happens when bankruptcy is

4:06

inevitable. In other words, they're no

4:09

longer trying to prevent borrowers from

4:11

going into bankruptcy. They're basically

4:13

saying, "We're now switching our credit

4:16

covenants from, forget about you going

4:18

bankrupt. We actually just want to be

4:21

first in line with what are called lean

4:24

protections." And this credit attorney

4:26

says, "These lean protections are now

4:29

skyrocketing." He says, "This happened

4:31

in 2007. This happened in the dot

4:34

bubble. Don't confuse the headlines that

4:37

nobody like that there are no credit

4:39

risks or that the credit risks are just

4:40

idiosyncratic and all that stuff." says,

4:42

"Don't actually believe that stuff."

4:44

Now, I don't know, maybe this guy's

4:46

unnecessarily bearish. But it's very

4:48

interesting because he's like, "Look,

4:49

Wall Street's public narrative is the

4:51

economy is resilient, inflation is

4:54

cooling, credit uh consumer credit

4:56

remains stable." That may all be true on

4:59

the surface, but the legal architecture

5:01

of credit markets tells a different

5:04

story. When lenders quietly rewrite the

5:07

rules of engagement or demand all for

5:10

one consent before lean subordination,

5:12

basically a simple way of saying, "Hey,

5:15

uh, if you go bankrupt, I want first

5:16

dibs." It signals a system stealing

5:19

itself for impact, hardening itself for

5:22

impact. The foundations of credit

5:25

protections are shifting fast. When it

5:28

happens, it is never an accident. It's

5:32

the market whispering what the headlines

5:34

have not caught up to yet. The next

5:37

phase of the credit cycle may have

5:41

already begun.

5:43

Okay, that's an eerie way to finish an

5:45

op-ed, mostly because it's also eerie

5:48

that Jerome Powell told us in his last

5:50

meeting that maybe the normalization of

5:53

the beverage curve has already begun.

5:57

That's like almost the same exact line,

6:00

which is kind of scary because remember

6:04

the beaver curve, beverage curve,

6:05

whatever is basically when layoffs

6:08

spike, the unemployment rate skyrockets

6:11

really, really fast because you're

6:13

supposed to have a normal downward

6:14

sloping curve, but we're in a place

6:16

that's way off to the side on the curve

6:19

because job openings are really, really

6:21

low, which means the unemployment rate

6:22

should be high. because it's not implies

6:25

that as soon as we get layoffs, we

6:27

skyrocket on the unemployment curve and

6:28

and the unemployment rate skyrockets,

6:30

which Amazon just laid off

6:34

30,000 folks. We saw the target layoffs.

6:37

We've seen the other, you know, we've

6:38

seen a lot of layoffs and we expect a

6:39

lot more of them to come. This is why

6:41

Jerome Powell warns that we may just be

6:42

at the beginning of them. Now, I mean,

6:45

here was a comment that I just saw on my

6:46

Amazon layoff video. If you haven't

6:48

watched it yet, it's a really good

6:50

video. Uh, I think there's a lot of

6:51

detail on this. The 30,000 Amazon job

6:53

cuts are just an early warning, I wrote.

6:55

And somebody here wrote, "It's crazy

6:57

because my wife just got fired. Never

6:59

told her why or even gave her an email.

7:01

She just woke up and was no longer an

7:04

Amazon worker. It's crazy how they just

7:06

cut us from jobs and treat us like toys

7:09

they are tired of using." Uh, and then

7:11

somebody else uh, you know, write writes

7:14

here, "What happens when all these

7:15

companies fire everyone for AI and

7:16

nobody has money to purchase their their

7:18

products?" Which is fair. This is

7:20

actually a really good point. And that's

7:21

where we talked about uh game theory.

7:24

And so I'm going to pull up the little

7:25

game theory we did because I think it's

7:27

really interesting and it kind of

7:28

relates to this credit market stress

7:30

because the credit market stress is

7:32

really just banks and lenders starting

7:35

to go, "Oh my god, we might have been

7:38

lied to by these credit agencies."

7:40

Again, double check the books. Get

7:43

things ready. If nothing breaks, fine.

7:46

We got protected. But if poop hits the

7:48

fan, we don't want to be the last one

7:50

off the ship, so to speak, right? That's

7:53

the same game theory that goes into

7:56

laying off people. I hate to say it, but

7:59

understand this. If you have if you

8:02

spend a dollar uh at Amazon, Amazon gets

8:05

about 10 cents. Okay? If Amazon cuts a

8:10

dollar of expenses, they replace 10 of

8:12

my dollars, right? Because if I spend

8:14

$10, Amazon nets a dollar. Or if they

8:17

cut a dollar, they also net a dollar,

8:20

right? So cutting a dollar is like

8:22

getting $10 worth of revenue. So cutting

8:25

a dollar is huge for their bottom line.

8:28

They like cutting a dollar. But then you

8:31

also have to understand the game theory

8:33

of this because understand this. If you

8:35

have two companies, we game theory this

8:37

out. If you have two companies and both

8:40

companies do not cut and the economy

8:43

keeps going, then what ends up happening

8:45

is margin compresses at both of these

8:47

companies through typical capitalistic

8:49

deflation or disinflation. Uh, and you

8:52

kind of split the upside, you know, so

8:54

Amazon gets a little bit of a benefit,

8:55

another company gets a little upside,

8:57

great. If instead you have let's say

8:59

company Amazon that cuts workers and

9:01

company B let's say I don't know

9:02

Microsoft or whomever else does not cut

9:04

workers then Amazon's margins might go

9:07

up where the other ones doesn't the

9:10

other company's margins don't go up

9:11

right and so one company could get go up

9:14

and get more recession resilience and

9:16

appear stronger in the good times but

9:18

also be stronger in the bad times so

9:21

therefore company B is actually

9:23

incentivized to cut and so from a game

9:25

theory point of view as a company, you

9:27

should almost always cut because you're

9:30

going to save so much money. You're

9:32

saving $10 basically of revenue by

9:34

cutting $1 of profit at Amazon because

9:36

their margins are about 10%. It's going

9:38

to be different obviously at different

9:39

companies. You know, Microsoft has

9:40

higher margins, right? Uh and then of

9:42

course you don't want to affect growth.

9:43

That's why Amazon's cutting at human

9:45

resources and not at their growth

9:46

drivers. But anyway, the point is the

9:49

default scenario here is if you can cut

9:51

without affecting growth, the default

9:53

game theory is you should do it because

9:56

it protects you in the event of a

9:58

recession and it makes you more

10:01

competitive or at least equally

10:03

competitive to the company B, right? And

10:05

then that's where we said like for every

10:08

$1 of Amazon uh every every $1 of salary

10:11

Amazon cuts, that's basically $10 of

10:14

revenue. And how much of that $1 of

10:16

salary is actually going to go back to

10:18

Amazon? Maybe 5 to eight cents of every

10:21

dollar, right? So it would take them

10:23

somewhere around a hundredx basically.

10:25

They'd have to make like $100 or they'd

10:28

have to lose $100 of revenue to even

10:31

make a difference to what they're

10:33

cutting in salaries because that

10:35

specific salary isn't purely going to go

10:38

back to Amazon entirely anyway. And even

10:41

if it did, there's a 10x multiple, even

10:43

if a 100% of all that salary went back,

10:45

which none of that really matters. Like,

10:47

just skip to the bottom line on all of

10:48

that. The point is, if a company can cut

10:51

without affecting growth, they're going

10:53

to do it in this economy. So, now try to

10:56

put these pieces of the puzzle together

10:58

for a moment. You've got uh a few things

11:00

going on. Let's write this down right

11:02

here. Number one, really bullish

11:04

catalyst, a new Fed chair coming in May.

11:07

Bullish May. We've got rate cuts. Okay,

11:09

that's bullish October through December.

11:12

We've got the end of quantitative

11:13

tightening. That's bullish October.

11:15

We've got Taco, that's bullish. Now,

11:18

this is a euphoric or the start uh this

11:22

is either euphoria or the start of

11:24

euphoria. Like everything's great,

11:26

right? But underneath the surface, you

11:29

have those private credit concerns and

11:32

then that labor market. That's it. And

11:34

so it sounds like companies are starting

11:36

to prepare, at least on the credit side,

11:39

for a potential rollover in those

11:42

private credit markets. And that's where

11:44

you're also starting to see some quote

11:47

strains in the funding market. Now, this

11:50

is really interesting. The New York

11:51

Times was just talking about this, but

11:53

not only was the New York Times talking

11:55

about this, you've got a lot of

11:56

institutions now talking about the the

11:59

FOMC basically being clueless because of

12:02

these spikes or dislocations in the uh

12:05

SOFR market. This is the sofur market.

12:08

This is the secured overnight uh funding

12:11

rate uh market. basically the the

12:13

overnight market for cash. Hedge funds,

12:16

banks, they go there uh they could uh

12:18

you know pay off debts and borrow money

12:20

or whatever to cover bills or whatever

12:22

in an overnight basis. It for a normal

12:24

human being like a normal you and me

12:26

this doesn't make any sense. It doesn't

12:27

matter. Like we don't borrow overnight.

12:29

This is crazy. But these massive

12:30

institutions they do because even you

12:33

know five bips on a billion dollars is a

12:37

big deal. You know it it pays for

12:39

people's salaries. So, it makes sense to

12:42

have humans move this money around. The

12:44

problem is when these numbers go up,

12:46

like when this chart goes up, it means

12:47

there's less cash available. That's why

12:50

they write over here, "This part's

12:51

stable. This is a mess." Okay. How do

12:54

you know the Fed has gone too far with

12:57

cutting uh the size of their balance

12:59

sheet? When you start getting this kind

13:01

of mess, that's why Jerome Powell a

13:03

couple weeks ago comes out and is like,

13:05

"Bro, we have a problem here. We may

13:07

have gone too far. It's time to maybe

13:09

stop. we need to turn the vacuum cleaner

13:12

off. Now, the uh uh bear trap report,

13:16

that's what this is called, they say the

13:19

Fed actually being late could be one of

13:22

the factors uh that ends up hurting

13:26

our bull thesis. But in addition to the

13:29

Fed being too late, private credit

13:32

deteriorating could lead this $1.3

13:36

trillion private credit industry to cut

13:39

exposure, take losses, default on loans,

13:42

and cause a cascade through high yield

13:45

bank loans and credits. See, a lot of

13:48

people think that, oh, it's not going to

13:50

be banks that get hurt. It's just going

13:52

to end up being private credit markets.

13:54

It doesn't matter the credit crisis.

13:57

private credit will just get hurt. It'll

13:59

be individual companies that'll go

14:01

bankrupt. Nobody else. Yeah. Doesn't

14:05

really work that way because what we

14:06

just saw with Tricoler and First Brands

14:08

was investment banks which technically

14:10

aren't banks but big investment firms

14:12

which have big public stocks which

14:14

affect the entire uh uh you know

14:16

financial system for stocks tanked. UBS

14:19

and Jeff got hit very hard. But it

14:21

wasn't just them with exposure. It was

14:23

also companies like JP Morgan. They had

14:26

to lick their wounds on like $170

14:27

million of losses. There were also banks

14:31

out of Japan that had to lick their

14:32

wounds on billions of dollars of losses

14:34

because of just those two small

14:36

companies, you know, relative to the

14:38

whole financial system going to put. So

14:41

then it sort of makes you start

14:42

scratching your head, go crap, if that

14:44

private credit market rolls over, it is

14:46

a big deal. So from a game theory point

14:48

of view, private credit wants to

14:50

insulate and companies want to insulate.

14:53

So to me, those firings and this sort of

14:56

tightening in the private credit market,

14:58

they're more like little early warning

15:00

signs that people are kind of putting

15:02

blankets around themselves, like get

15:04

ready for the winter. Winter is coming.

15:06

People are starting to hoard blankets.

15:08

And it's kind of like we're in summer

15:09

right now. We're in we're in late summer

15:12

and everybody's kind of partying with

15:13

their bathing suits or whatever. And

15:14

that's great. But what happens

15:18

uh when all of a sudden the cold front

15:20

comes in and people didn't get prepared?

15:22

Well, that's when we start getting

15:23

nervous about where we sit with margin

15:25

debt today. I mean, if you go to FINRA

15:27

margin statistics, it's scary. We've

15:30

never seen margin this high before. $1.1

15:34

trillion in margin debt. And it frankly,

15:37

this is the highest level we have ever

15:40

seen. Like, if you go back to historic

15:42

data and you download these

15:43

spreadsheets, you could go all the way

15:44

back to 2021. We didn't see a trillion

15:47

dollars of margin debt. We were in the

15:48

900 billion range. But markets usually

15:52

always top out when margin tops out.

15:54

That doesn't mean that we're about to

15:56

top out soon. Remember, I mean, look at

15:58

the catalyst. We do have bullish

16:00

catalysts ahead of us. You know, this is

16:02

the kind of stuff that we we plan for in

16:04

the Meet Kevin report in the Alpha

16:06

Report every day. We talk about short,

16:08

medium, and long-term catalysts. And we

16:10

try to position, you know, 10-year

16:12

stocks versus like two-month stocks or

16:15

day trade stocks, right? We try to be

16:17

very clear with the difference between

16:19

those. Well, you've got to evaluate that

16:21

right now we're running high on all

16:23

these bullish catalysts. It makes you

16:24

wonder, okay, like how much of the Fed

16:26

cutting or how much of the Fed pausing

16:28

the vacuum cleaner is already priced in.

16:31

How much taco or Zaco or Euphoria is

16:34

already priced in? The market's killing

16:36

it right now. You know, we broke my 615

16:38

price target, which I had on the cues,

16:41

which is awesome. you know, Tesla jumped

16:44

right off 414 and now off 443 uh 433

16:48

rather uh which we talked about also in

16:50

our alpha reports both of those lines.

16:52

Uh so it's a it's a remarkable

16:54

environment for risk and it seems like

16:56

the Fed cutting is just going to keep

16:57

introducing more risk onism and it's

17:01

true. The question is when it rolls it

17:03

tends to roll fast. It's just when does

17:05

that happen? And that's where all we

17:07

could do right now is look at some of

17:08

the early warning signs and be prepared

17:11

that hey, you know, either, you know,

17:13

you start limiting some debt or you

17:15

diversify. I know a lot of pe I think

17:17

that's one of the reasons uh we're

17:18

seeing such a surge in funding at house

17:20

hack uh and reinvest same company is

17:22

people are are wanting to diversify. But

17:26

anyway, uh you have warning signs

17:29

flashing in financial markets about

17:32

worries that the Fed waited too long.

17:36

And this has to do with the plumbing of

17:37

the financial system, the spike in the

17:40

sofur rates. Uh how, you know, the Fed

17:43

never design defined what ample reserves

17:46

are. And even though they wanted to get

17:48

back to ample reserves because they

17:50

never defined it, they might have

17:52

actually inadvertently set up for an

17:54

oopsie-doopsy crisis. And so now the

17:57

goal is, hey, they should stop vacuum

17:59

cleaning and stop creating the risks

18:02

because they could end up creating a

18:03

severe market disruption. And so once

18:06

you have people starting to hoard cash

18:08

and the financing stops and the the

18:09

party stops, that's where you're going

18:11

to have a big problem. That's why now

18:13

you're seeing big bets that we're going

18:15

to see

18:17

QT basically come to an end on

18:20

Wednesday. Now again, so far on the

18:22

surface, things seem very calm. The 102

18:24

yield spread on the China talk, uh, it

18:26

literally just fell below 50, which is

18:28

great. It still puts us really close to

18:30

shockprone, but we just didn't get a a

18:33

real shock. You can see we never really

18:36

broke out of 50 to 60, which is kind of

18:38

bullish. I mean, that's sort of like

18:39

what you saw in the 1995 soft landing.

18:42

And I have to say so much of this feels

18:44

very eerily similar to what you saw in

18:46

2011 where everybody was worried about a

18:48

double dip recession that never ended up

18:50

coming. But there are serious concerns

18:53

inside the market that hey at the very

18:56

least pay attention to the risks rather

18:59

than try to, you know, ignore the risks.

19:02

And I always think it's entertaining

19:03

because when I talk about people

19:04

ignoring the risks, I see things uh like

19:08

I I see what I call pretty wild

19:10

rationalizations. Like here's basically

19:12

a person saying, "Oh, well, we're going

19:13

to have a productivity boom with all

19:14

this AI." Okay, that is in my opinion a

19:17

very generic argument. Everybody makes

19:19

the argument that, oh well, productivity

19:20

will boom. Sure. But does that mean net

19:24

outcomes are going to go higher?

19:26

Productivity poor worker may go up, but

19:28

does that mean net economic output will

19:31

go up? Not necessarily. See, for

19:34

example, I say like I always make this

19:36

example. Let's say in a market you have

19:38

1,000 trust documents that need to be

19:40

made in a certain zip code. Okay? An

19:43

attorney without AI can do 10 of those

19:45

trust documents per week. So to do all

19:47

1,000 in a week, you would need 100 uh

19:52

you would need 10 times you would need

19:54

Yeah. You would need a 100 attorneys

19:56

each doing 10, right? Uh that would be a

19:58

thousand trust documents that you

19:59

completed. Well, if with AI, an attorney

20:02

can now do a 100 trust documents, now

20:05

you don't need a 100 attorneys anymore.

20:06

You only need 10. You're still producing

20:09

1,000 trust documents. So, even though

20:11

each of the 10 attorneys with AI can be

20:14

so much more productive, the real

20:15

question is, do you need that many more

20:18

trust documents? If you only need a

20:20

thousand trust documents, just because

20:22

the economy is booming doesn't mean all

20:24

of a sudden you need 10 times as many

20:26

trust documents. You don't all of a

20:27

sudden need 10,000 trust documents. the

20:30

time it takes to actually put those

20:32

other people to work who lose their

20:33

jobs, that could take decades to

20:36

actually net net increase the amount of

20:39

economic aggregate demand for people to

20:41

fulfill those services in. So that's the

20:45

problem. So the productivity argument is

20:47

an oversimplification. Yes, on net each

20:49

individual human can be more productive,

20:51

but does that mean there's more work to

20:52

do? No. That's why Amazon and Target are

20:56

firing people in human resources because

20:58

we could get the same work done with

21:00

fewer people. It's not because they're

21:02

trying to be evil. It's because they

21:04

don't need the people anymore because of

21:05

AI. And that's unfortunate. Like for

21:08

this person's, you know, wife or

21:09

whatever who who got fired here. Uh this

21:13

is terrible. And it it all it does is

21:15

increase the wealth gap. And I'm not

21:17

here to shill for these large companies.

21:21

I actually think I was put on this earth

21:23

to help you say to yourself, okay, maybe

21:28

you're killing it in the stock market or

21:30

you're tempted to buy at all-time highs.

21:32

And my argument is, look, if you got

21:35

debt,

21:36

just think about paying down a little

21:38

bit. Make yourself resilient to that

21:40

recession. Pay down margin, pay down

21:43

credit cards. If you got a 6 or 7%

21:45

personal loan or higher or mortgage,

21:48

there's no harm in paying down a little

21:49

bit. You could all the only harm is

21:52

FOMO, but you never go bankrupt

21:55

protecting yourself, right? You'll only

21:58

go bankrupt not protecting yourself. Uh,

22:00

and that's where I think like that

22:02

Warren Buffett quote comes in where the

22:04

hardest part I think it was actually in

22:06

this article. Uh, the hardest part is

22:08

sitting around and doing nothing.

22:11

Where was it? I can't remember where it

22:13

was, but basically there was this this

22:15

article uh and they quoted Oh, here it

22:18

is. Here it is. Especially for a young

22:19

guy. There, I found it. Larry, as a

22:22

young man, testosterone is your greatest

22:24

enemy. The hardest thing to do is stare

22:26

at the screen all day and do nothing.

22:28

It's all in the waiting.

22:31

Charlie Mer 2012.

22:35

Waiting. [laughter]

22:37

Kind of interesting. And I personally

22:39

think that credit attorney guy,

22:43

it doesn't surprise me. Like I'm not

22:46

reading this credit uh attorney's

22:48

article going, "Oh my gosh, this is the

22:50

it to me it's like I saw this coming."

22:52

Well, like when we heard aboutricolor

22:54

and first brands, if you go back to

22:56

watch my videos, I'm not like making

22:57

this up in the past. You go back and

22:58

watch my videos. I said the biggest risk

23:00

now is that all these companies start

23:02

going crap, we need to take a second

23:04

look at our lending guidelines. And then

23:07

what happens is you get a Nike swoosh

23:08

that turns to euphoria, right? The Nike

23:11

swoosh goes into the euphoric cliff.

23:14

That's the part you have to be scared

23:15

about, the euphoric cliff. Uh, and so,

23:20

you know, these strains we're starting

23:22

to see now, they say we're at a turning

23:23

point. Can we possibly get through it

23:26

where everybody insulates and the party

23:28

keeps going? Of course. But there is

23:31

cause for caution in this market. And I

23:33

think if you go to meet Kevin.com/data,

23:36

I do my best to update my Bearbull scale

23:38

there all the time. And I encourage you

23:39

if you haven't yet signed up to get the

23:40

daily wealth. It's totally free. But,

23:42

uh, here, let me show you. If you go to

23:44

meet kevvin.com, this is the pitch on

23:46

the alpha report here. Just skip past

23:47

that. Go to data, type in meet.com/data.

23:50

And I mean, I obviously encourage you to

23:52

join the alpha report. We've been

23:54

killing it. And we've got like 4,000

23:56

members every morning who who watch the

23:58

alpha report and many more who don't

23:59

even watch the videos. They just read

24:01

the alpha report. Uh so, you know, a lot

24:04

of members here love the alpha report. I

24:05

encourage you to be part of it. But if

24:07

you scroll down on the data page, uh

24:09

you'll see the Bear Bull scale, the taco

24:11

scale. sign up for this, the daily

24:13

wealth or the meet Kevin app. You could

24:15

get the daily wealth in there as well.

24:17

Uh I think it's really useful and I send

24:20

out the daily wealth every day uh as an

24:22

email or you could get it in the app

24:23

through the Meet Kevin app, whatever you

24:25

want. Uh and I would highly encourage

24:27

checking that out. Uh it's it's very

24:29

cool. So, and that's totally free for

24:31

free or totally complimentary, I don't

24:34

know, whatever you want to call it.

24:35

Anyway, um so some thoughts there, but a

24:38

little scary I will say on private

24:41

credit.

24:42

>> Why not advertise these things that you

24:43

told us here? I feel like nobody else

24:45

knows about this.

24:46

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

24:47

see how it goes.

24:48

>> Congratulations, man. You have [music]

24:49

done so much. People love you. People

24:51

look up to you.

24:51

>> Kevin Praath there, financial analyst

24:53

and YouTuber. Meet Kevin. Always great

24:55

to get [music] your take.

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.