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Prediction Market Warning.

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0:00

Coffeezilla is lashing out at the

0:02

prediction markets, calling them

0:03

gambling and legalized insider trading.

0:06

>> Prediction markets are not just

0:07

gambling. There's also a lot of insider

0:10

trading, too.

0:11

>> And expectedly, the brokers of these

0:14

companies and employees of these

0:15

companies are doing everything in their

0:17

power to tell you, "No, we are not

0:20

gambling companies."

0:21

>> Qualitatively different than sports

0:24

gambling. In fact, you literally have

0:26

people who work for companies like Khi

0:29

putting together tweet responses. Look

0:31

at this. Elections predictions guy uh

0:34

since 2019. Calshi users since 2024.

0:38

He's got the little Kelshi logo in his

0:40

username. Debunking Coffeezilla's

0:43

prediction market claims. It's not

0:45

insider trading. It's just a reveal of

0:47

information. We're trying to help reduce

0:49

information asymmetry. Whatever. At the

0:52

same time, you have people like Vlad

0:54

Tenev over at Robin Hood cringing at the

0:58

idea that, oh no, they're calling us

1:01

gambling websites.

1:03

Why? What is going on here? And why are

1:07

these executives recoiling at the

1:09

thought of being labeled gambling

1:12

companies?

1:12

>> Yeah. Cuz because then at that point,

1:14

when do you turn from investing just to

1:15

straight up gambling? It's a dull

1:17

>> at that point.

1:18

>> Yeah.

1:18

>> Yeah. I I think that well in this video

1:20

as usual I'm going to share perspective

1:22

that nobody else attends to share. So

1:25

let's get into not just why these

1:27

companies are so tripling down on

1:31

predictions not on gambling

1:34

and what the regulation around all of

1:37

this actually is. Spoiler alert Trump

1:41

got rid of most of it. So first what's

1:44

motivating these companies? Okay, the

1:46

first thing that's motivating companies

1:48

like Robin Hood, is of course money.

1:50

It's the same reason Donald Trump is

1:52

getting into truth predict, which is

1:54

sort of like prediction markets via

1:56

Truth Social. It's because of money.

1:58

Look at the financial statement that

2:00

Robin Hood just released for the quarter

2:02

ending September 30th. What you're going

2:04

to find is that other revenues, which is

2:07

where we see prediction market revenues,

2:10

have increased almost 4x from $19

2:14

million to $72 million. In fact, they

2:16

say it right here. In addition, other

2:18

transaction-based revenues increased by

2:20

$53 million quarter, you know,

2:22

year-over-year, right? Primarily driven

2:25

by increased user activities in

2:29

prediction markets. Ah, got it. So, the

2:32

betting markets are leading to a 4x

2:37

increase in revenues for Robin Hood,

2:41

huh? Well, how are the other portions of

2:44

their business growing? Oh, well,

2:45

spoiler alert, I already wrote it down

2:47

for you. Crypto is up almost 2x. In

2:50

fact, we can see right here

2:51

cryptocurrencies quarter year-over-year

2:54

increased about 92%. However, if you

2:57

look on a 9-month basis, it's only up

2:59

about 45%. But let's just give crypto

3:02

the benefit of the doubt and say that

3:03

their revenues year-over-year, which

3:04

they are up almost double. Okay. Then

3:07

you have equities revenue.

3:10

While equities trading was up 78%,

3:14

their net revenue was only up about 50%

3:18

because their rebates that they're

3:19

getting from market makers and exchanges

3:22

shrunk. I'll explain all that in just a

3:24

moment. And options grew 27%. So, I want

3:27

you just to look at this cheat sheet

3:28

right here. These are the growth

3:31

verticals for a company like Robin Hood.

3:33

4x up on prediction markets. Crypto's up

3:36

2x. Stock revenues are only up 50%.

3:40

Options are only up 27%.

3:44

Now, why would that matter? Well, it

3:47

matters because where there is the most

3:50

growth is also where you have the

3:52

largest spreads. Ah, spreads a little

3:57

complicated. I'll keep it very simple.

3:59

The easiest way to keep this simple for

4:01

you and then I'll prove it to you is to

4:03

understand this. When you buy a stock on

4:07

Robin Hood, if you buy a $100 worth of

4:08

stock on Robin Hood, Robin Hood might

4:11

make about 10 cents. This is just

4:14

roughly based on the total spreads that

4:16

are available. So, frankly, some of this

4:18

is going to be shared with market

4:19

makers. So, let's just say Robin Hood

4:21

and the market makers will make 10 cents

4:23

or a dollar or $2 depending on, you

4:26

know, what we're trading, right? and

4:27

then they're going to split or share

4:29

some of that. So you go spend $100 on a

4:32

stock, maybe Robin Hood and the market

4:34

makers make 10 cents. You go spend $100

4:37

on an option, well Robin Hood and the

4:39

market makers might make about a dollar,

4:41

which is really good. That's 1%, right?

4:43

And if you spend it on prediction

4:45

markets, they make about $2. So you can

4:48

see a user that goes in and just buys a

4:50

stock makes Robin Hood and the market

4:52

makers about 20 times less money than

4:55

the prediction markets. This makes

4:58

intuitive sense because if you think

5:00

about it, what do you think people do

5:02

more? Bet on Google search results which

5:06

are just going to be rigged by insiders

5:08

at Google anyway. Spoiler alert, that's

5:10

exactly what's happening. or you know

5:12

what a sports bet is going to be at the

5:14

end of the year or like which team's

5:16

going to lead or you go into hey you

5:19

know I'm going to guess what the S&P 500

5:21

is going to be by the end of the year.

5:22

What do you think is more of a used

5:24

market? Those things I just described or

5:27

Apple stock. Obviously there's a whole

5:30

lot more activity at Apple stock and

5:32

that's why there's less money to be

5:34

made. Here's how to look at this. When

5:37

you look at some of these prediction

5:38

markets like this on Robin Hood, you

5:41

could see I can bet yes 27 cents the S&P

5:44

500 will close within a particular

5:46

range. So I could bet I'm sorry 29 cents

5:48

on a yes or I could bet 73 cents on no.

5:52

But if I add that together, I get 102.

5:55

Why does it not add up to 100? Because

5:58

that's the spread. That's where the

6:00

market makers were making money. And

6:01

sometimes that goes all the way up to

6:02

about 103, maybe even sometimes 105.

6:06

There's a lot of money to be made there.

6:08

Go to Apple stock for a moment. If I go

6:11

to options, and I'll just pick a quick

6:13

option here, like a 280 call on Robin

6:15

Hood, I can see the spread here is about

6:18

1%.

6:20

So, I've got a 2% spread on the

6:22

prediction markets. I got about a 1%

6:24

spread over here on Apple stock options.

6:28

Well, what if I just go to buy the

6:29

actual stock? Let's put one share in.

6:32

Let's throw in a limit order here. Go to

6:34

the question mark. Ah, look. They

6:37

actually give us transparent data of

6:39

what the last sale is and what the

6:41

actual spread is, the bid ask spread.

6:45

Now, the way this works is the

6:46

middlemen, the market makers, they go in

6:49

there and they make sure your trades

6:52

fulfill instantaneously. That's the

6:54

magic of why when you swipe up, you get

6:56

the little confetti. It's like, yay,

6:58

your order is confilled. is is filled.

7:00

You think Robin Hood is instantaneously

7:03

when you say, "I want to sell 27 shares

7:05

of Apple." instantaneously turning

7:06

around and saying, "Hey, uh, who over

7:08

here wants 27 shares of Apple," and then

7:10

finding somebody to pair that with? No,

7:13

forget that. That's way too complicated.

7:16

How about this? Hey, Kenny G, I got

7:18

another guy who threw in a market order

7:20

to sell 27 shares of Apple. You want to

7:22

buy them? Yeah, yeah, yeah. Give him

7:23

that that uh, you know, that lower price

7:25

we have on the spreads there. Okay. Your

7:28

order gets filled instantaneously. Kenny

7:30

G has those Apple shares, then turns

7:32

around and sells them for that higher

7:33

price on that range. The ask, right? Bid

7:36

ask a and they collect the difference.

7:39

But as a thank you, because nobody's

7:41

actually trying to give these shares to

7:43

Kenny G. As a thank you, Kenny G at

7:45

Citadel is going to give some kickback

7:48

to Robin Hood. Now, how do I know that

7:51

Kenny G is involved? Well, because

7:52

that's also on Robin Hood's financials.

7:55

Oh, wow. Look at this. We derive

7:57

transaction-based revenues from

7:59

individual market makers and exchanges.

8:02

In fact, 54%

8:04

of their total, look at this, as a

8:06

percentage of total revenue, 54%

8:11

of these transaction based revenues came

8:13

from market makers and exchanges.

8:17

The biggest slice of that pie was

8:20

Citadel Securities coming in at 13%.

8:23

So yeah, a lot of money is being made by

8:26

Robin Hood and a lot of it is coming

8:29

from market makers and market makers

8:32

love spreads. And that's why even though

8:36

we trade so many more stocks in volume

8:39

on Robin Hood, it's why the most

8:42

profitable aspect of the business is

8:44

options and crypto. Because options and

8:47

crypto have wider spreads. There are

8:49

fewer people trading random specific

8:52

options and random specific

8:54

cryptocurrencies. That creates wider

8:56

spreads, which means Robin Hood can

8:58

collect more money. Look at that. Of

9:00

transaction-based revenues, you have 41%

9:03

coming from options. 36% coming from

9:07

crypto. Only 11% of their money is

9:09

coming from people trading stocks. And

9:12

remember, where is the growth, folks?

9:14

It's not in options. options were only

9:17

growing at 27%.

9:20

So, if you're Robin Hood, if you're

9:22

Vlad, what do you want? You want to be

9:24

where the biggest growth is and where

9:26

the biggest spreads are. Okay. Well, we

9:28

just learned where the biggest spreads

9:30

are. We saw it right here. Oh, that's my

9:32

iPhone. I saw it. Let me jump on over to

9:35

the iPad, which I thought was plugged

9:36

in. My bad. Maybe Kevin should install a

9:39

switch between the two, but that's okay.

9:41

I'll just uh brush my hair a little bit

9:43

here. maybe ask you to subscribe or

9:44

check out the programs over at

9:46

mekevin.com or my real estate AI

9:48

company. We're closing our fund raise at

9:50

the end of the month there. Not a

9:52

solicitation. Read the offering

9:53

circular. We are closing the fund raise

9:54

at the end of the month. That's at

9:56

househack.com or reinvest. It's the same

9:58

company. But anyway, look at this. We

10:01

know that the biggest spreads are in

10:02

prediction markets and that also happens

10:04

to be where all the growth is. It's

10:07

certainly not on stocks where we're only

10:09

growing 50% or options. There's more

10:11

spread there, but it's not growing. So,

10:13

in other words, we're not getting new

10:15

users. I mean, we are 27% is still

10:18

decent growth, but it's nowhere near a

10:19

moon like a 4x, right? So, you're just

10:22

not getting as much growth in options as

10:24

you used to. You did during 2021, but

10:27

now everybody wants prediction markets.

10:29

So, why is Donald Trump getting into

10:31

prediction markets? Because of the

10:33

money. Now, what's also really unique

10:35

about prediction markets is let's say we

10:36

had $100 to spend on prediction markets

10:40

versus $100 to spend on stocks. Okay?

10:43

Well, maybe you've got 2,000 stocks to

10:45

pick from. But if you make a stock bet,

10:48

there's something called churn. How

10:50

often are you going to turn around and

10:51

sell that stock? You know, if you think

10:53

Apple's going to go up over the next 10

10:54

years, you're going to buy it and you're

10:56

going to hodddle it. Okay? Well, you

10:57

buying and holding does no good. But if

11:00

you take that same bucket of money you

11:02

had available for trading and you threw

11:04

it into prediction markets and there was

11:06

something new to predict on that expired

11:08

every 3 or 4 weeks like what's going to

11:10

happen at the end of this month, what

11:12

about the end of next month? What about

11:13

the end of next month? What about the

11:14

end of next month? You constantly have

11:16

this turnover of new dates and catalysts

11:18

to trade off of. You can not only get

11:21

more spreads because you're spreading

11:23

that pie to more things rather than just

11:25

a basket of stocks. You're spreading it

11:27

to basically any event possible.

11:29

Eventually, we can gamble on everything.

11:32

>> The long-term vision is to financialize

11:34

everything and create a tradable asset

11:37

out of any difference in opinion,

11:38

>> which is exactly what they say they

11:40

want, but you're also taking more

11:43

spreads and you're doing it more often.

11:46

You're getting a catalyst. You're

11:48

getting a forced trade and an expiration

11:50

of these betting markets. The football

11:52

game is over, the soccer game is over,

11:54

whatever. These things happen much more

11:56

frequently than actual big catalyst

11:58

changes at stocks or downstream options.

12:03

So, as a broker, it totally makes sense

12:06

why the brokers are all over these

12:09

prediction markets. And it's exactly why

12:11

they don't want you to call them

12:12

gambling because they don't want to get

12:14

shut down. Now, Coffeezilla makes a

12:16

point that the gambling companies are

12:18

like, "This is bull crap. Nobody's

12:20

showing up to horse bed anymore at our

12:22

casinos and buy our, you know, get our

12:24

free drinks and pay our spreads because

12:26

they're all doing it from the comfort of

12:27

their own home on Poly Market or Cali or

12:30

whatever or Robin Hood, which mind you,

12:32

Robin Hood's really smart. Robin Hood's

12:35

taking the spread, but they're not

12:37

actually doing the prediction markets.

12:40

Robin Hood partners with other

12:42

companies. So if Robin Hood one day has

12:45

to wash their hands of these gambling

12:49

plays, they can. Robin Hood is just a

12:52

broker. Kali does the sports for them

12:54

and Forecast X does the elections for

12:56

them. So this is how Robin Hood is

13:00

actually getting into the highest

13:03

growth, highest profit financial

13:06

brokering business while offloading the

13:09

risk onto companies like Calcia and

13:11

ForexX forecast which even though Robin

13:16

Hood is selling for a really expensive

13:18

premium right now, you kind of have to

13:21

look and go, "Huh, could some of that

13:24

premium be justified under a Trump

13:27

administ administration when we don't

13:29

actually think there's going to be much

13:31

regulation against anything Trump is

13:34

getting into. We know Trump is getting

13:36

into crypto and now we know he's getting

13:38

into prediction markets. So, do we

13:40

actually think the regulars are going to

13:42

show up and beat on Robin Hood anytime

13:44

soon? If they did, Robin Hood could just

13:47

point to these other companies. Oh, it

13:49

wasn't us. It was them. We were just

13:51

doing the derivative portion.

13:53

But it's probably not going to happen

13:54

anyway because Trump's getting involved

13:56

himself just like he did with crypto.

13:59

This is interesting to know. But first,

14:01

let me make this here argument. This

14:04

page that I'm showing you right now,

14:06

this is on our stock tab inside the Meet

14:08

Kevin alpha report. And I was able to

14:11

pull this up with a click of a button.

14:12

After their last earnings, we did an

14:14

analysis on Robin Hood. And all I did

14:16

was click on Robin Hood. You can get

14:17

this in the Meet Kevin app if you're a

14:19

course member at meetke.com. Uh, and I

14:21

could see that the PEG ratio for Robin

14:23

Hood right now is actually decently

14:25

expensive at about 5.7. And if we look

14:27

at what I wrote here to my course

14:29

members, I wrote that Wall Street

14:30

estimates just 6.25% earnings per share

14:32

growth over the next four years. I

14:35

actually wrote that I said this seems

14:36

remarkably low and possibly an error. I

14:39

actually think absent a labor recession,

14:42

Robin Hood's probably going to grow much

14:43

more in part because of these prediction

14:46

markets. They've also done half a

14:48

billion dollars in stock buybacks over

14:50

the last 6 months. This is actually very

14:53

impressive. On top of that, they paid

14:56

$175 million to acquire a registered

14:58

investment advisor, and it's a brilliant

15:01

way to expand into registered investment

15:03

advice, which is basically what

15:05

Wealthfront just IPO'ed on. Their robo

15:08

advisor service makes so much freaking

15:10

money at Wealthfront that Robin Hood is

15:13

also doing that. So, like this is a

15:16

great company and I think their company

15:17

is going to keep growing and they're

15:19

kind of a brilliant way to make money in

15:22

my opinion off the prediction markets

15:23

without actually playing the prediction

15:25

markets or taking the risk of the

15:26

prediction markets. Now, I want to be

15:28

clear. I don't have longs or short or

15:30

any exposure to Robin Hood stock. Okay?

15:33

I'm saying it and because I love the

15:35

company and I love the way they're doing

15:36

it, but I also realize that they're a

15:40

little expensive right now. Now, maybe

15:42

maybe they're a little expensive right

15:44

now because people are pricing in a lot

15:46

of this enthusiasm, but if there's a dip

15:48

on Robin Hood stock, it could be

15:49

interesting. Part of that is because

15:52

Donald Trump is so kneede when it comes

15:55

to regulation and making sure that

15:58

regulation, let's just put it this way,

16:00

doesn't actually go anywhere. Think

16:02

about the SEC and the CFTC for a moment.

16:05

So, the Commodity Futures Trading

16:07

Commission find Poly Market $1.4 4

16:09

million in 2022 blocked US users.

16:11

Predicted has been fighting the CFTC for

16:13

years. Back when I was running for

16:15

governor, predict it was fighting them

16:16

for years because I had my name in the

16:19

predicted markets. I had like an 11%

16:22

chance of being the governor of

16:23

California.

16:25

It got almost a million votes. You know,

16:26

that was great. I think we did very

16:28

well. We spent very little per vote that

16:30

we got, which is great. I think Gavin

16:31

Newsome outspent us like 20 times. Other

16:33

people spent even more. Oh, we' have ran

16:35

a very efficient campaign. But anyway,

16:37

Khi had to sue the CFTC to list their

16:39

election contracts. And when they

16:41

actually ended up getting a ruling in

16:43

their favor that you can't ban election

16:45

predicting, everybody got into this.

16:47

They're like, "Oh my gosh, this is

16:48

great." On top of that ruling and Donald

16:52

Trump, most people think prediction

16:55

markets are safe from regulation and the

16:57

insider trading is going to go on for

17:00

ever until some other institution or

17:03

agency in the future under a different

17:05

president actually changes it. But as

17:07

long as Trump is president, I wouldn't

17:08

expect to see big regulation here. And

17:10

here's why. First of all, the SEC

17:12

doesn't get involved in this sort of

17:15

derivative insider trading. The CFTC

17:18

does. the Commodities and Future Trading

17:20

Commission does, but they usually don't

17:22

enforce anything unless there's fraud to

17:24

get the information. And the FBI and DOJ

17:28

only get involved if you actually

17:29

defrauded people. Now, people will make

17:31

the argument that insider trading is a

17:33

form of fraud.

17:35

But this is where you have to ask

17:37

yourself, how much regulation is there

17:40

actually expected to come? When we look

17:42

at what's going on with crypto, the

17:44

answer is probably very little. Trump is

17:46

famously anti-regulation. We know this

17:49

because crypto helped Donald Trump get

17:51

elected and Donald Trump turned around

17:54

and bailed out a whole lot of people.

17:56

Remember, Binance got sued by the SEC.

17:59

That lawsuit got dropped. The CEO of

18:02

Binance, CZ, got pardoned by Donald

18:05

Trump. and CZ helped facilitate Donald

18:08

Trump's use or the use of Donald Trump's

18:12

stable coin to move two billion dollars

18:15

of Saudi money on the Binance platform

18:18

with Donald Trump's stable coin. So,

18:21

there's probably no corruption or money

18:24

enthusiasm at all with crypto, right?

18:26

>> Corruption is not bad.

18:29

Corruption is only bad if I'm not

18:32

involved.

18:33

But I mean then again, Donald Trump did

18:35

argue that he was going to run to be the

18:36

crypto president. And so you can see

18:38

under the first Trump administration,

18:40

the SEC filed 50 cases against

18:43

cryptoreated organizations. The Biden

18:45

administration doubled that, filing 105

18:48

cases against them. And Trump, too, has

18:50

literally filed zero cases against

18:53

crypto organizations. Now, I'm not here

18:55

to say whether or not certain crypto

18:58

organizations should be pardoned or not.

19:01

I'm just here to tell you it's very

19:02

interesting that when Donald Trump gets

19:04

involved in a certain way to make money,

19:07

the odds are either through donation or

19:10

business ties, there's not going to be

19:12

any regulation for you. So if you donate

19:14

to Trump, you're going to get your cases

19:16

dismissed just like Binance, Coinbase,

19:18

Consensus, Cumberland, Kraken, Ripple,

19:20

Gemini, Tron. All of them either had

19:23

reduced settlements, dismissals, or

19:26

frozen cases against them. And all of

19:28

them either have business ties to Trump

19:30

or donated to Donald Trump.

19:32

So the point here is if Donald Trump's

19:35

trying to make money with his tree of

19:38

connections on Wall Street like this,

19:41

Trump's connected to the Gemini

19:43

founders, the Vinklevosses, they donate

19:46

$2 million to a proTrump fundraising

19:48

committee and they donate to the White

19:50

House ballroom and all of a sudden the

19:52

Vinkle Wases invest in American Bitcoin

19:56

which the sons of Donald Trump are

19:59

co-founding and promoting. All of a

20:01

sudden, it looks like sort of a big old

20:04

circle. And all of this is very well

20:05

known. Like I think these crypto scams

20:07

are going on wildly. There's this

20:09

company Old Five that have been talking

20:11

about on my channel for a very long

20:13

time. I think it's a complete scam. The

20:15

Trump administration said, "Oh, we're

20:17

joining the board." Went on Fox News.

20:19

This is the greatest company ever. Soon

20:21

as it starts tanking, predictably,

20:23

they're like, "No, no, no. We were never

20:24

going to join the board." And they just

20:25

walk away from it. Meanwhile, innocent

20:27

people are throwing their money into

20:29

this stuff and they're losing their

20:30

money. This is why I make the argument

20:32

that companies like Old Five or these

20:34

crypto companies that Trump is propping

20:37

up are probably nothing more than a tool

20:40

to try to create profit for the Trump

20:42

administration. And this isn't supposed

20:44

to be a slam on the Trump administration

20:47

and you know all the grift that's going

20:48

on. It's really just to make the

20:50

argument that the odds are this

20:52

administration is going to do the same

20:54

thing for prediction markets that they

20:56

did for crypto. That is remove the

20:58

regulatory pressure, let all the

21:01

nonsense run wild. And the people who

21:04

are going to win are not going to be the

21:06

people participating in prediction

21:08

markets or the gambling that's going on.

21:11

They're going to be the broker dealers

21:13

like Vlad at Robin Hood that are going

21:15

to make a lot of money off of this. Now,

21:17

obviously, if we go into a recession,

21:18

all these stocks are going to plummet

21:20

anyway. We know that and all this sort

21:22

of wild west crap will collapse. But the

21:24

point is, if you're looking for where to

21:27

make money in these prediction markets,

21:29

you have to understand it's not the

21:31

people mining the gold. It's the people

21:33

selling the shovels. Because you've got

21:36

Vlad and the Calies or otherwise going,

21:38

"Hey, hey, hey, we're different."

21:40

Because just because you making a $100

21:44

bet at Vegas on a roulette table is

21:46

gambling. If someone has an option

21:49

contract and there are odds around me or

21:53

someone going to gamble at the the Vegas

21:55

table at roulette, well, bro, that's

21:57

just financial trading. It's not

21:58

gambling. And and we're just the broker

22:00

putting together a financial product,

22:02

giving people the option to make these

22:05

trades.

22:07

As long as that argument reigns, and

22:09

people say that's not gambling, and as

22:11

long as the broker dealers have the

22:12

protection of the Trump administration,

22:15

which I expect they will for a very long

22:17

time, at least until Trump loses leaves

22:19

office. And as long as there's not a

22:21

recession, then the ones who are going

22:23

to make bank off of this are the

22:25

companies and the owners of stock

22:26

related to the companies like Poly

22:28

Market, Calshi, Crypto.com, Robin Hood,

22:31

all these broker dealers, and anyone

22:33

getting into prediction markets. They're

22:35

going to get rich because they can make

22:37

money way faster and way more often,

22:42

remember the churn frequency, than they

22:44

can off of options or stocks. He asked

22:47

me, he said, "Do you think we should

22:48

allow insider trading in prediction

22:51

markets?" And I said, "It's it's

22:53

actually a pretty it's not as clear-cut

22:55

question, right? Because if your goal is

22:57

to actually for the 99% of people trying

22:59

to get signal about what's going to

23:00

happen in the world, like is the Suez

23:01

Canal going to be reopened or whatever,

23:03

you actually want insider trading. You

23:05

want, you know, some admirable admiral

23:07

sitting on a ship in the Suez Canal who

23:09

has really good information to be

23:10

trading so you get better, higher

23:12

quality signals.

23:12

>> Why not advertise these things that you

23:14

told us here? I feel like nobody else

23:16

knows about this." We'll we'll try a

23:17

little advertising and see how it goes.

23:19

>> Congratulations, man. You have done so

23:20

much. People love you. People look up to

23:22

you.

23:22

>> Kevin Praath there, financial analyst

23:24

and YouTuber. Meet Kevin. Always great

23:26

to get your take.

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