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Learning the language of investing - David Orr | Senzal Insights

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Learning the language of investing - David Orr | Senzal Insights

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0:18

Hello everyone and welcome to the new

0:20

episode of Senzel Insights. Uh today I

0:23

have my special guest for the third

0:25

time. Uh David Or welcome David.

0:28

>> Well, thanks for having me. Uh there's a

0:31

reason why I'm uh having him for the

0:34

third time because in my opinion he's

0:37

probably once in generation uh hedge

0:40

fund manager of his generation he's

0:43

probably the best in the world or or in

0:47

1% of 1%. And that's not just uh me

0:51

talking. Basically,

0:54

you outperformed the Buffett partnership

0:56

in its early years, which is a

0:59

remarkable achievement.

1:02

Can you can you tell us something about

1:04

that?

1:05

>> Yeah. Well, I want to say up front, too,

1:07

that included a few years there of a

1:09

personal account track record. So, you

1:12

know, that you could say you shouldn't

1:13

include that or not, but if you do, you

1:16

know, I I Yeah, I just it performed way

1:19

better than he did. I you know I don't

1:21

really know what to make of it because

1:23

you know the first few years I thought

1:25

oh I'm getting must be getting really

1:27

lucky and then the next few years it

1:29

keeps happening I think okay and then

1:32

but I still thinking like a little bit

1:33

maybe you know maybe it'll slow down but

1:34

then now after like this year is going

1:37

really well so you know it's kind of

1:40

like damn this is uh kind of surprising

1:42

to the upside so

1:44

>> and even this year that it's a positive

1:48

it's a good year for Most of investors

1:51

you are like uh doing uh few times over

1:55

S&P and you you maybe even approach a

1:58

triple digit returns gross this year

2:00

which is crazy considering that uh you

2:03

are not running a small hedge fund like

2:05

you I mean like you did like three or

2:08

four years ago. Now you passed the 200

2:10

million threshold which is I mean in a

2:14

sense it's still a small hedge fund but

2:16

I mean you could be half a billion in

2:19

two or three years. So it's completely

2:22

different game and the two um two

2:24

podcasts ago we even spoke about that

2:27

that you said uh it's a different game

2:30

when you manage 20 million and now that

2:32

you are managing 10 times more what

2:35

changed?

2:37

Yeah. Well, part part of the hack that

2:39

I'm using is we have these other

2:41

portfolio managers. So, that that's

2:43

actually slowing down the scale impact

2:46

which I think is helping the edge a lot.

2:48

But yeah, just even at this my my

2:50

partition today is about 100 million.

2:53

And yeah, so today just getting in and

2:56

out of things takes a lot longer. Um

3:00

now, uh a lot of times I'm like wanting

3:03

to bet bigger on things, but I just

3:05

can't. I just oh I can only bet you know

3:08

30 basis points on this micro cap and in

3:11

the past that would have given the

3:12

asymmetry on this specific one or

3:14

whatever I'd have liked to do more like

3:16

0.5 or 6. So I'm running into that kind

3:19

of thing now with a decent amount of the

3:21

portfolio.

3:23

Um and there's definitely just a cost to

3:25

that. Uh that's especially true for the

3:27

catalyst ones where you know something

3:29

horrible is about to happen in a micro

3:31

cap and you just can't get yourself

3:33

stuck there. Especially in a micro cap

3:36

short where if you're wrong about the

3:37

catalyst or some unexpected great news

3:39

happens, you really don't want to be

3:41

stuck. So yeah, I just have to bet

3:43

smaller on everything like that.

3:46

>> And what what is what in your universe

3:48

is a a small bet and what is a large bet

3:52

from percentage point? It just it

3:55

depends on like the company because for

3:57

example I'm short some consumer staple

3:59

large cap stocks and in that case 2% is

4:02

not big right that's just who who cares

4:05

if the consumer staple somehow runs 20%

4:07

even it's not a big deal

4:10

um so it's really hard to say what is a

4:14

big and small bet it's

4:16

>> yeah it basically comes down to

4:17

volatility right

4:19

>> yeah and like the real risk of it yeah

4:22

>> and uh uh you you spoke a lot about the

4:26

last quarter. Last quarter is specific

4:29

in a sense that uh it was uh really bad

4:32

for short short sellers. Uh I mean it

4:35

was horrible. uh I it was like the like

4:39

on the level of 2021 when it comes to uh

4:43

in some sense it was even crazier

4:46

because the basically the leading factor

4:49

that outperformed was unprofitable

4:52

uh high highly shorted companies.

4:56

>> Yeah, as far as I know it was the second

4:58

worst period in the last at least 25

5:02

years probably longer. Um, so and the

5:07

January 2021 was worse. That was that

5:10

was um maybe 30% worse or something if

5:13

you had to quantify it, but that's

5:15

that's getting pretty close to that

5:17

level of a tough market for short

5:19

sellers.

5:21

>> How did you deal deal with it?

5:24

>> I mean, definitely felt some pain.

5:27

>> Yeah, I just avoided all the the right

5:29

factors early this year. So I I even

5:31

warned um the other portfolio managers.

5:34

I even warned other short sellers who

5:36

didn't listen. I I said look these like

5:38

fake electricity type companies any any

5:42

company related to power generation

5:45

um any of these kind of like science

5:47

project vague just nonsense you know

5:51

like the the super micro uh nuclear

5:55

reactor kind of thing. you know, it's

5:57

all most likely nonsense, but if you're

6:00

short this stuff and there's going to be

6:02

an electricity bottleneck for artificial

6:04

general intelligence, doesn't even

6:06

matter if you think it's true or not.

6:07

It's just that's the narrative and

6:09

that's just the wrong one to be short.

6:11

And that was probably the most brutal

6:13

factor last quarter. So, just avoiding

6:16

all of that helped a lot. Um,

6:20

>> you

6:23

completely and then like the arcike

6:25

stocks. Um, you know, my my beta to ARC

6:28

this year was like minus.2 or minus.25

6:32

at the fund level and I think a bit

6:34

lower at my own partition.

6:37

Um, but that wasn't too bad because if

6:39

you look at the individual stocks that I

6:41

was short, they weren't like the really

6:44

nasty ones individually within ARC. Um,

6:48

so

6:50

so that's why this this year has been

6:52

going so well. I just avoided the I

6:54

thought they were kind of obvious to be

6:55

honest. This electricity one was super

6:57

obvious. Let's just don't be short that

6:58

stuff.

6:59

>> Yeah. And uh especially the ones with

7:01

the high with potential of short squeeze

7:04

basically because everything was just I

7:06

mean outperformance was uh crazy and as

7:10

you said probably second largest or the

7:14

largest in this century alone and when

7:17

we uh we actually in a way predicted it

7:21

in the I don't know if it was the last

7:24

or the first podcast we spoke about

7:27

quality factor and you told uh you told

7:30

us that it's overcrowded and uh now we

7:33

have the largest underperformance

7:36

of quality factor since uh since in this

7:40

century in this century in last 26 or 27

7:44

years.

7:46

>> Yeah, I'm kind of regretting I didn't

7:48

short much or more of it. That's just a

7:51

hard factor to be short I think. But it

7:53

would would have been the good one. Um,

7:57

>> yeah, you know, but it's always hard to

7:59

say when that would sort of collapse

8:02

like it did. And even though it dropped

8:05

a lot, it wasn't like, you know, that

8:07

good of a short. I alpha wise it was,

8:09

but you know, so that's just a tricky

8:11

thing to actually short, which I guess

8:13

is what makes it such an appealing long,

8:14

too. But that's why the valuations got

8:17

so absurd.

8:18

>> Um, yeah.

8:20

>> And I know so many quality guys, they

8:21

just don't want to sell.

8:24

And it's such a big mistake, you know,

8:26

it's like, man, you gotta you got to

8:28

look at the valuation,

8:31

>> especially if they're ones that aren't

8:32

even growing,

8:33

>> not growing much.

8:35

>> And and we even have a Terry Smith of

8:38

Funmith. He's basically underperforming

8:40

now for five years.

8:42

>> And he's his outperformance basically

8:45

came from betting on that single factor.

8:48

>> Yeah, he was just a factor bet. I mean,

8:50

there's a lot of these um,

8:53

you know, single trick pony kind of

8:55

investors who get sort of famous and

8:57

raise big on AUM or

9:00

um, and I've been really critical of

9:02

many of different ones on Twitter and

9:04

definitely uh, he's just as much of a

9:08

an idologue, I'd say, as Kathy Wood was

9:10

or as the value investors from 2000

9:13

were. Um, it's all the same idea.

9:18

>> So,

9:20

I mean it's basically marketing. I mean

9:23

you even spoke about that that uh

9:25

investing is a lot about marketing not a

9:27

lot about uh true edge and true

9:31

performance. I mean there's a guys I

9:34

mean they are still managing billions or

9:36

tens of billions some of them and uh Ray

9:39

Dalio I mean I have a really negative

9:42

view on him and I mean but he is like

9:46

Bridgewater is managing more than 100

9:48

billion so

9:50

>> yeah he's a genius marketer

9:51

>> yeah genius marketer so but um you also

9:56

uh spoke about um active versus passive

10:00

and how uh in funds need to evolve to be

10:04

truly attractive again because active

10:07

investing is mainly closet in closet

10:10

indexing or marketing. There's a a rare

10:14

percentage of fund managers like you

10:17

that actually deliver alpha and uh how

10:20

how do you uh dissect let's say those

10:25

those funds? uh h how how how do you

10:29

know if someone's

10:31

like

10:33

has the potential or is worthy of

10:36

investing with?

10:39

>> Yeah, you you can just look at someone's

10:41

track record and you need to not just

10:43

look at the the raw percent. You need to

10:45

figure out like what their real

10:47

benchmark is for example. Um,

10:51

so and that's important because let's

10:54

say you had like a long only oil guy for

10:57

example and then but you know obviously

11:00

that's been a really tough um

11:04

like uh industry to be investing in

11:06

after 2010

11:08

when fracking sort of switched things up

11:11

and really changed things a lot. And in

11:14

that case, you know, if their benchmark

11:15

is truly long oil stocks, uh, and they

11:19

performed really well versus that

11:20

benchmark, then that that actually means

11:22

a lot. Um, but you know, a lot of guys

11:27

are saying, well, my benchmark is like a

11:30

really junky one. It's like say the

11:31

Russell 2000 or something. And it's

11:34

like, that's not that shouldn't be

11:35

anyone's benchmark. That's just a joke

11:37

of an index.

11:39

>> Yeah,

11:39

>> I think that's true. It's like lowkey

11:42

also true for like the global uh ETFs

11:46

because people don't actually look

11:48

through like what say the large cap

11:51

European ETF owns. It's just a bunch of

11:53

these really expensive

11:56

just uh stagnant companies

11:59

a ton of them. And it's like okay your

12:01

benchmark is again just full of junk.

12:03

It's not like Russell 2000 bad but it's

12:06

pretty damn bad. And you know that's not

12:09

even a reasonable benchmark to look at

12:11

either. So you know you're looking at

12:12

this like I'm saying two ways. You one

12:14

if they do have like an honest benchmark

12:17

how are they performing versus that? And

12:19

two don't get tricked by this sort of

12:21

fake kind of BS benchmark.

12:24

Um and then yeah if you if you can

12:26

figure out like what factor they're

12:28

actually betting on. So ARC is the you

12:31

know that sort of speculative technology

12:34

companies.

12:35

guy like Michael Bur is just the

12:37

hardcore value factor

12:39

uh and so on, you know, and then you can

12:42

actually test what their alpha is versus

12:44

the real benchmark.

12:46

And if if they just consistently put up

12:49

alpha, it doesn't have to be every

12:52

quarter for sure, but every if you even

12:54

look over a few quarters versus their

12:57

specific benchmark, um they really

13:00

shouldn't be having too much negative

13:02

alpha there almost ever over that time

13:05

frame. Um there's this really good book

13:08

by I think Joe Petta something, I forgot

13:11

his exact name. uh really good book he

13:13

wrote uh where he brought up the point

13:15

of dispersion within the factor. So

13:17

there are some years that are just

13:19

conducive

13:20

uh environments for generating a lot of

13:23

alpha in certain factors because like

13:25

the range of uh outcomes for the stocks

13:28

is really wide, right? But if you have a

13:31

really narrow range of outcomes, you

13:33

have sometimes have years like this for

13:35

some factors and there's really nothing

13:37

you can do. it doesn't matter what stock

13:39

you pick over that few quarters. Uh it's

13:42

just going to move with the index pretty

13:43

much no matter what in a year like that.

13:46

So I think uh being aware of that uh is

13:49

good. Um

13:52

but but I've also noticed like the

13:54

single factor or single industry type of

13:57

investor, they basically never seem to

13:59

have an edge. Um at least I don't know

14:02

of any. It might look like it for a few

14:04

years, but then they really drop the

14:06

ball. Um, so I think it's better to

14:09

typically look for guys who can at least

14:11

play a few different factors at the same

14:13

time. And then with that, let's say that

14:17

now you could see, oh, he's generating

14:18

alpha to like five different factors all

14:21

at the same time. And you've isolated

14:24

>> then then that's really gets interesting

14:26

really fast. You don't need like super

14:29

long sample size or anything.

14:31

>> Um, yeah. You know, if you if you see

14:33

that in two years, it's like, oh, okay,

14:35

his daily sharp is like 1.6 and he's got

14:38

he's not really riding any factor.

14:40

That's really good.

14:42

>> Yeah. And uh do you ride any factor? I

14:46

mean, I know that you have a lot of

14:47

financials if I'm if I'm correct in your

14:50

portfolio.

14:51

>> Yeah, we're we we have some beta to some

14:54

factors. So, I think the financials is

14:56

like maybe positive. 2 or three. the

15:01

energy uh because we have the pipelines

15:04

uh that's also positive

15:06

>> versus like my beta to the S&P 500 this

15:09

year is like I think it's minus.4 or

15:12

something. So there's a bit of a factor

15:16

mismatch there but it's not like a

15:19

totally extreme thing. It's not like my

15:21

beta to oil stocks is like 1.5

15:24

uh and never was like that in 2022. It

15:27

was like I think it was maybe 04.5

15:31

positive which was a really nice

15:32

tailwind cuz energy stocks were so

15:35

strong that year but I wasn't betting

15:38

the farm on it. So

15:40

um

15:42

yeah I just try to bet on every factor

15:44

and I'm not really trying to

15:46

intentionally make a factor bet even.

15:48

It's just more like I've noticed

15:50

financial stocks seem unloved and cheap.

15:53

>> Yeah.

15:53

>> So I've long more of them. Um the

15:56

pipelines for some reason they're cheap

15:58

so I'm just long more of them for only

16:00

that reason but as soon as they stopped

16:03

being cheaper than the market relatively

16:05

I would just dump it and you know

16:08

someday that could be who knows what it

16:09

could be these speculative technology

16:11

stocks even who knows I don't really

16:12

care I'm not going to be an idologue

16:15

about it you know someday it will

16:17

totally change

16:19

>> yeah and you also uh we also spoke about

16:23

being ideological about uh investing and

16:26

how it's important to let's say be

16:29

flexible. So as you said, I mean from

16:33

technology companies and let's say those

16:35

with AI exposure, I know of that you

16:38

only long the Taiwan semiconductor and

16:40

Google if I'm if I'm correct and Amazon

16:44

of course as like let's say third wheel

16:46

but uh you passed on uh did you pass on

16:49

Nvidia on companies like that when they

16:53

were like much lower? Well, I w I played

16:56

the Nvidia bet because I made that post

16:58

in 23. I said Nvidia had become the most

17:01

valuable company in the world, which at

17:04

the time was a pretty bold call. Um,

17:08

>> yeah,

17:08

>> it was 2023 as well. Yeah.

17:11

>> But I I just played that by shorting the

17:13

uh inverse like semiconductor three

17:17

times ETF. That was a pretty good bet

17:20

that way.

17:21

>> I remember.

17:22

>> Yeah.

17:23

And then I also did some other weird

17:25

things. I was like I thought IBM could

17:28

become hyped up. So actually uh I bought

17:31

IBM deep out of the money call options

17:34

going out a couple years

17:36

>> really.

17:37

>> And that because the implied volatility

17:38

on that was like 11%.

17:40

So that that was like a 50 bagger or

17:43

something. But I didn't stick around the

17:45

whole time, you know. I sort of waited

17:46

for the asymmetry to go away there and

17:49

then I quit early. But

17:52

Would you say that at the same time on

17:54

the long side and uh on the order and on

17:57

the short side you bet on a lot of

18:00

different factors?

18:02

Yep. I do it on purpose. I don't want to

18:04

have too much correlation to any one

18:07

thing and I'm trying to juggle I I skip

18:11

some sectors almost entirely. So biotech

18:14

or like junior mining companies or bunch

18:16

of type of commodity companies. Not all.

18:19

I'm in a couple commodityish companies.

18:22

But that that's not like a pure just

18:23

like iron mining company or something. I

18:26

don't you know who really knows? But um

18:29

but besides that I try to play nearly

18:31

every factor. Um I'm not in software

18:34

either. That one's too studied. So

18:36

people have really really studied

18:38

software stocks a lot. I'm just like not

18:41

going to compete with that. Too many

18:42

eyes were on it.

18:44

>> Yeah. I mean you you're I mean I I

18:47

completely get your point. Uh but uh

18:50

what to come back quickly to a quality

18:53

factor. I mean he's underperforming

18:56

heavily right now. Is it uh how far are

18:59

we from actually being attractive again?

19:02

I mean

19:04

>> I don't know

19:08

>> like like Nike or something,

19:11

you know, maybe it's getting kind of

19:12

beaten down here. But also, you know,

19:15

the earnings have been pretty weak. So,

19:18

is that going to reverse? I don't really

19:20

know. Um,

19:23

you know, something like CocaCola, I

19:25

don't think he's long that one, but

19:28

um something like that is very uh

19:31

stagnant. They keep having to do these

19:33

acquisitions simply not to lose earnings

19:37

even. So, that doesn't even seem that

19:39

great. Pepsi's the same idea. Maybe

19:42

Pepsi's a little bit better now. I don't

19:44

know. Um, some of the consumer staples

19:47

are we'd call it a quality stock like

19:50

um,

19:51

uh, Dagio, the company that owns Kenis

19:54

and some other I like them. I'm lung

19:56

that. Uh, I have the Kiko man. I'd call

19:58

both of those pretty high quality

20:00

companies even though the return on

20:01

capital today isn't super high, but

20:04

so I don't even know if they're

20:05

technically in the quality factor. Um,

20:10

yeah, I mean Microsoft was in the

20:12

quality factor. I guess that that sort

20:14

of has been working, but is that um

20:19

does it seem cheap? No. Uh I don't So

20:23

when I look through a lot of the quality

20:24

stocks, I just don't get it. You know,

20:26

even today the earnings multiple seems

20:29

pretty high for often the earnings

20:31

aren't even going up. That's what really

20:34

blows my mind about it all. It'd be one

20:36

thing if these things were just year

20:37

after year earnings are going up 5% a

20:40

year. You know, that's, you know, you

20:42

could say, well, you could pay pretty

20:43

high multiple there.

20:46

You know, if you get that plus a few

20:48

percent dividend and you have this, in

20:50

theory pretty safe 8% yield even at a

20:53

say 30 times earnings or whatever. It's

20:55

a little aggressive, but you could sort

20:57

of get it. But these stocks aren't even

20:59

doing that a lot of the time. Often

21:00

they're like like I'm short Starbucks. I

21:03

think that's probably considered a

21:04

quality stock and uh it's beaten down a

21:08

lot. But when I sort of see what's going

21:11

on in the real world, it's like there's

21:13

already like four Starbucks within a

21:15

3minut walk from me and then they're

21:18

already really, you know, reasonably

21:19

crowded, but then when I like look in

21:22

between each one, there's like these

21:23

upand cominging really better just their

21:25

better coffee places. So if Starbucks is

21:28

one already everywhere and two, the

21:31

competition just seems better, that's a

21:34

pretty dangerous mix. I think McDonald's

21:36

is the same idea. Uh McDonald's has to

21:39

be considered a quality stock, right? Or

21:42

um so that one again

21:45

um you know, Shake Shack just makes a

21:48

better product, right? I guess they're a

21:51

bit different price points. Maybe

21:52

McDonald's for the price points like

21:54

pretty good. I guess maybe that one's a

21:57

more iffy example and they do have some

22:00

room to expand internationally still. Uh

22:03

maybe not as much in a c country like

22:05

Japan, but in poorer countries

22:08

definitely. Um

22:11

let's think

22:16

trying to think of more examples. Um

22:22

yeah, I mean like Costco is just a

22:23

bubble, isn't it? I mean it's just

22:25

>> Yeah, that just popped in my mind. So, I

22:29

mean,

22:31

so when I look at that, but that's the

22:32

thing. When I looked at Terry Smith's

22:34

holdings, I swear that's like a lot of

22:36

his holdings are they just look like

22:37

Costco to me. I guess at least Costco

22:39

does grow and you can sort of

22:43

it's like actually a pretty good

22:44

company.

22:45

>> Yeah, but they're really expensive for

22:47

it growth.

22:48

>> Yeah, that one I actually believe in

22:50

more than a lot of Fundsmith's holdings.

22:51

You know, Fundsmith's holdings are just

22:53

these companies that really have sucked

22:54

for a long time. And sure the return on

22:57

capital numbers attractive but what the

22:59

hell does that actually mean? I don't

23:01

think it means much.

23:03

>> Yeah, especially because mostly it's a

23:05

backwardlooking. If we look at the

23:07

return on invested capital, I mean it's

23:09

history. It doesn't mean that it's going

23:12

to be high as it used to be or

23:15

especially if they are operating in

23:19

highly competitive markets like

23:21

Starbucks. We now have uh Dutch Bros if

23:24

I'm not mistaken in US. In China we have

23:28

a lucky coffee. I mean they they are

23:31

getting competition all from all over

23:35

the world basically and uh there's a

23:37

trend in like small smaller coffee shops

23:40

that that as you said they they're

23:42

basically serving better coffee coffee

23:45

and uh but what's also interesting when

23:48

it comes to Starbucks is that a lot of

23:50

Starbucks customers are like it's

23:53

Starbucks so I think that basically the

23:56

valuation and any premium that comes

23:59

with it it's tied to that intangibles

24:03

uh part

24:04

and if it's shaken in a way everyone

24:07

knows that that coffee is really

24:09

expensive but uh if it's shaken I mean

24:13

the brand needs to suffer uh in a way

24:16

for it to truly I mean go go lower and

24:20

probably now I I don't know if you agree

24:23

I think now the main problem is probably

24:26

the unions uh when it comes to Starbucks

24:30

they they get I mean people expect of

24:33

Starbucks to be like I mean it's like

24:35

McDonald's it's mainly for students to

24:38

work there when they are studying for

24:41

college and it's not something uh where

24:44

you work if you want to raise uh uh debt

24:47

to buy apartment or or something

24:50

something like that so I think they are

24:52

getting pressure from that side as well

24:55

that might be interesting I I don't know

24:58

>> if you're following that situation right

25:00

now, especially New York.

25:02

>> Yeah, I think the

25:05

Yeah, I think that that's um

25:08

that's true. Another um headwind for

25:11

Starbucks is the GLP1s because

25:13

>> yeah,

25:14

>> they sort of people think Starbucks and

25:16

they think, oh, it's like a coffee

25:17

company, but when you actually break

25:19

down um what products they're selling,

25:22

>> Yeah. I think it was like 80% it's some

25:25

really high percent is not just coffee

25:27

or not just you know the low calorie

25:30

option. It's just these sort of super

25:32

sugary uh syrupy

25:36

or like the you know it's like a donut

25:38

but it's not you know donut has sort of

25:41

a negative connotation to some groups of

25:43

people but it's basically just a

25:45

doughnut shop at this point. It's like

25:47

okay you go and you get your sugary

25:49

drink and your scone and a scone is just

25:51

a donut right? So, uh, or like a cookie.

25:55

Um, so yeah, I think that's another

25:59

pretty nasty headwind. That's part of

26:00

why I'm short anyway. I just I think

26:03

that company's in a lot of trouble. Um,

26:06

>> yeah, from m multiple angles basically

26:09

>> and I mean it's low barriers to entry

26:12

basically. anyone can open a coffee shop

26:14

in in your neighborhood and uh they did

26:17

a good job so far, but are they going to

26:19

continue exe to execute? Uh I I mean I

26:23

agree with you and

26:24

>> yeah, I mean I'm I just thought of

26:26

another quality company like Marriott. I

26:28

think maybe that's good. Maybe that's a

26:31

fine long I'm trying to think of other

26:32

quality companies. Um

26:35

because I've been long Marriott in the

26:37

past and that's just like a you know

26:39

franchise business so it's just pure

26:40

profit. Um,

26:43

they own a lot of really, really good

26:45

brands. They have a lot of really unique

26:46

locations that are pretty much never

26:48

going to get replaced,

26:50

at least at the high end. Maybe at the

26:52

medium end, it's more commodity-like.

26:54

It's not as good. But the loyalty

26:56

program seems pretty sticky. You know, I

26:58

know a few different people who love

27:00

their Marriott points. Even it's not

27:03

rational. It's just like a,

27:06

you know, they're gonna stay at the

27:08

hotel they don't even want to stay in to

27:10

get the points. That's That's got pretty

27:12

good value, right?

27:13

>> Yeah.

27:15

Did not know did not know that to to be

27:18

honest. And uh uh when it comes to uh

27:22

you're currently living in Japan, it's

27:25

been like more than a year, two years

27:27

now.

27:28

>> It's been one year here.

27:30

>> One year there. How do you like it

27:32

there?

27:33

>> I love it here. It's great. Um,

27:37

I mean the thing is I'm working like all

27:38

the time, but uh but yeah, whenever I go

27:41

out there's never a problem. The food is

27:43

delicious and healthy. I can It's not

27:46

just the Japanese food that's good. You

27:47

can get like any cuisine. Um, it's easy

27:50

to go on a trip with my wife, you know,

27:53

go on vacation for a day or whatever.

27:56

Um, I really like the onens.

27:59

Um,

28:02

>> and uh,

28:04

>> sorry man. And uh, how how do you like

28:06

Sai Taki, new Japanese prime minister?

28:10

The stock market popped up when she won.

28:13

>> Basically, um, she's going to do a lot

28:17

of stimulus. And it also seems like

28:19

she's fine with letting the, you know,

28:22

monetary policy be loose.

28:25

So, she's just basically saying, "We're

28:27

going to devalue the yen even more." She

28:29

seems completely fine with this.

28:32

Um,

28:35

and I think it's all good for stocks,

28:37

especially, you know, these like any

28:39

kind of like lever real estate play, any

28:41

kind of company that's going to export

28:43

their product.

28:45

Um, it's good for tourism.

28:49

I can see why she's doing it. You know,

28:51

it's probably annoying for the Japanese

28:53

people. I feel kind of bad for them,

28:55

>> but overall maybe it's a good strategy

28:57

for their economy. I don't really know.

29:00

>> Um,

29:02

>> and then, you know, she's kind of tough

29:04

on immigration laws, which I actually

29:06

sort of like it even though I'm here. I

29:09

sort of want them to stay really picky

29:10

about who they get to live here. Uh,

29:13

even if like now just today they're

29:15

coming out with the news that they're

29:16

going to change the naturalization. So,

29:18

if you wanted to become a Japanese

29:20

citizen, that's going to change from 5

29:22

to 10 years apparently. And that's on my

29:25

radar as being a possibility in the

29:27

future. I'm not, you know, that

29:29

confident I would do it, but, you know,

29:32

so maybe you could say that's kind of

29:33

annoying that way. But overall, I

29:35

actually like the plan of making it more

29:37

difficult to stay here. Um,

29:41

and then I I I love her hardline stance

29:43

on China. I love that she parked those

29:45

missiles uh just east of Taiwan just

29:48

sort of uh doing the face saving thing.

29:51

No, no, that's our territory. It's just

29:52

for our own defenses or whatever. And

29:54

it's just this got to be super

29:55

aggravating to to Shei. So, I love that.

29:59

>> And how do you see that situation with

30:03

with Taiwan? And I mean, I I I've seen

30:06

the recent Trump post. He basically

30:10

didn't touch that part at all. But I

30:13

read some analysis really interesting

30:14

ones that this is the for in a long time

30:18

that Chinese actually were the ones to

30:22

call first because Cinping requested to

30:26

have a call with Trump and it was

30:28

basically about Sai and her stance on uh

30:33

on Taiwan.

30:35

>> Mhm. How do you see that unfolding?

30:40

>> My my theory is just um that posted

30:42

about it.

30:45

I think that she really wants to take

30:47

over Taiwan, of course, but the

30:52

and the fact that yeah, he's taking it

30:54

so seriously this Japan thing. I mean,

30:57

they're flooding China with the

30:58

propaganda, too. and the fact that yeah,

31:00

that's like a strong tell because I

31:02

think that that they that like in the

31:04

last 25 years, China's only ever called

31:06

America twice first or something and

31:08

this is now number three. So yeah, it's

31:10

um

31:13

>> yeah, maybe it's bigger news than I I

31:15

realized, but after studying the uh

31:18

technology of the submarines more,

31:21

there's so much uncertainty there. I

31:22

don't really see how the Chinese could

31:25

feel comfortable invading Taiwan unless

31:28

the president said like privately and

31:31

explicitly in a phone call, we will not

31:33

intervene,

31:35

right? Because if there's just that

31:36

uncertainty there, if you just refuse to

31:38

answer one way or another, you know that

31:41

that's how you lose power. That's how

31:43

the Chinese Communist Party could

31:45

actually lose power because um I think

31:48

the kill to death ratio uh from what I'm

31:51

studying it would take a crazy amount of

31:54

lives just to sink like 5 to 10 American

31:56

submarines. And I think in the meantime

31:59

America would sink like half of China's

32:01

entire fleet or something absurd. Uh

32:05

because basically the thing to realize

32:07

is that um China's good at like mass

32:11

manufacturing things. So they have a big

32:13

volume advantage but they don't have the

32:16

technology advantage especially for um

32:19

this kind of super important top secret

32:22

technology where nobody actually knows

32:25

the exact capabilities of these

32:27

submarines. That's like very very

32:30

confidential information.

32:32

Um but we know that the Chinese

32:35

technology is way way behind. We know

32:37

that really confidently.

32:39

um it's at least 20 years behind or

32:42

something. And so,

32:46

you know, if if you're just thinking

32:47

this through and you say, "Okay, is

32:49

China really going to risk basically

32:52

losing this war in the matter of weeks

32:54

with extremely one-sided losses?"

32:58

And they'd be like the moral

33:00

too, while it happened, right? Then the

33:02

whole world would be angry at China for

33:04

even trying to do this to Taiwan at the

33:06

same time. It would just be a complete

33:07

disaster.

33:09

Um, so when I look at it that way, the

33:12

invasion seems insanely unlikely.

33:15

But it's also weird that

33:19

China took it so seriously that Japan

33:21

just parked some missiles, you know,

33:23

east of Taiwan, too. So, it's like two

33:26

conflicting signals here.

33:29

>> Yeah. And uh I I I I think that uh uh

33:34

China is uh slowly catching up with us.

33:38

I think the main problem is of course

33:41

the semiconductors

33:44

that technology is still far far behind

33:48

uh especially when it comes I mean to

33:52

nanometers of of the of the chips and uh

33:56

but yeah it's China has a long-term goal

34:00

of that one China policy that Taiwan is

34:04

a part of China and I mean if you look

34:07

at the Those

34:09

are technically the Chinese people. They

34:11

are living in Taiwan. They are basically

34:14

democrats that were anti-communists

34:16

and that's how they basically u escaped

34:21

to to to Taiwan. And it's interesting

34:23

that Sigin Ping is like uh let's honor

34:28

the sacrifices and deals after the

34:31

second world war because China was on

34:34

the right side of the of the of the

34:37

world and on the on the other side Japan

34:40

was on the side of the axis powers which

34:42

is really interesting. So they are

34:44

trying like to to switch that narrative

34:46

in a way that Japan was evil 80 years

34:49

ago but we were we were good guys. So,

34:52

you know, you should be on our side, not

34:53

Japan's side. But, uh,

34:56

>> there's a really large American

34:57

influence in Japan. And I see Japan as

35:00

a, let's say, a proxy, someone that's

35:02

going to provocate, uh, China on the US

35:06

behalf. And, uh, on but on the other

35:09

hand, I don't see the probability of uh,

35:13

going to war.

35:15

uh when it comes to Japan and uh when it

35:17

comes to China and US I think it's uh

35:21

really low because uh I I don't think it

35:23

would be like it could escalate I mean

35:26

two nuclear powers basically so it's

35:31

completely different world we currently

35:33

live in and uh but also

35:37

as we can see now in uh Europe uh Ukra

35:41

European Union and US are basically

35:43

waging a against Russia through Ukraine.

35:46

And uh I I I think it's possible to have

35:51

some kind of scenario like that. And I

35:53

even read some analysis that claimed

35:55

that China gave up on aggressive

35:59

approach towards Taiwan and they focused

36:01

more on soft power and influencing uh uh

36:05

Taiwanese in that way and uh giving them

36:09

good deals, showering them with money

36:11

and uh stuff like that. I don't know how

36:14

if that's true, but uh it's definitely

36:17

something to at least do a research on.

36:20

I I I don't follow that uh that part of

36:23

the of the geopolitics. And uh how do

36:26

you see the uh current uh Trump term so

36:30

far?

36:32

I I like what Trump's doing. Um I'm a

36:35

fan. Um, like one of my worries was that

36:38

he would actually I know he made a

36:40

campaign promise so his base is kind of

36:42

pissed off that he didn't live up to it

36:44

and just like leave Ukraine to fail

36:48

essentially. So I didn't want that to

36:50

happen. So I'm I'm pleased that that

36:53

would have been like the worst part

36:54

about Trump to me. And instead it was

36:57

what I was saying in I think our first

36:59

call where I said I don't think Trump's

37:01

this kind of crazy person who

37:04

you know doesn't care at all. I think he

37:06

was just trying to play a political

37:08

stance, a way to end the war

37:11

politically. It didn't work. I thought

37:13

it was worth trying. Nothing was really

37:15

lost for having tried. It might have

37:16

worked. You know, it's easy to say now,

37:18

"Oh, well, that was a stupid story arc

37:21

where he was kind of at the time he's

37:23

like being straight up friendly with

37:24

Russia."

37:25

>> Yeah.

37:25

>> Um but it didn't work and whatever, you

37:28

know? I think it was Yeah, it was

37:30

totally worth trying that. And um and

37:33

now it sounds like he might actually

37:35

negotiate a peace deal. And that's what

37:38

I was telling my friend was like, well,

37:39

if you sort of looked at what Trump ran

37:41

on, the idea that Ukraine would even be

37:44

Ukraine at all still is just nonsense.

37:47

Like that there's no way that they would

37:49

continue fighting back the Russians

37:51

without the American help. Um

37:55

and then instead, what with the Russia

37:57

got the huge sanctions, which was like a

37:59

huge blow. Um,

38:03

and so,

38:05

so basically I I see it like if Trump

38:08

can pull off a peace deal where, yeah,

38:10

sure, they'll have to give up some

38:11

territory. I don't even care at all

38:13

about that. This whole argument that

38:15

that's terrible and wrong, it's like

38:16

actually the eastern half of Ukraine was

38:18

already pretty pro-Russia anyway. If you

38:21

like looked at the polls before the

38:22

conflict, it's like, okay, well, they

38:24

wanted to be part of Russia. Maybe this

38:26

is just sort of the natural way things

38:27

should go is like they should actually

38:29

be. Of course, it's far from perfect and

38:32

everything, but you know, I think if you

38:34

say, "Okay, we're going to give up the

38:35

borders and then you give time for

38:38

people to leave, right? Sure, they'd

38:40

lose their house and things and that

38:41

sucks, but it's not that bad." And then

38:44

they could decide which presumably which

38:47

place to live. And yeah, I think if the

38:49

peace deal can happen that way, that's a

38:52

good thing. Um, people have to be

38:54

realistic and say that the war is, you

38:56

know, Russia's slowly grinding away and

38:59

getting territory. That's just been

39:01

happening all year. Um,

39:06

so yeah, I think just hopefully the war

39:08

ends that way. Hopefully Trump's peace

39:10

deal works.

39:13

>> Sorry, man. I need to answer my call.

39:15

Uh, it's it's my calling is probably

39:18

something really important.

39:20

>> Yeah, no worries.

39:21

again. Just re restart it once.

40:00

I'm back. Sorry, man. My my CEO sends

40:03

his regards

40:05

>> and uh he it was not something really

40:08

important, but uh I know where where uh

40:10

where we uh where you finished. So I I

40:13

mean I have the follow-up question.

40:15

>> Okay, I'm ready.

40:20

So from the point of um uh ending the

40:24

war in uh Ukraine, I mean do you do you

40:27

look at the possible uh investments over

40:30

there? For example, uh I I was recently

40:34

looking at uh some Polish companies,

40:37

even Austrian or even Romanian, but I

40:40

think that Romania is too small for you

40:42

when it comes to volume because there

40:44

there are going to be some some of them

40:46

that that are going to uh reap the huge

40:50

benefits of uh rebuilding of uh Ukraine.

40:55

>> Yeah. I just don't look at Eastern

40:57

Europe because like you're saying, it's

40:59

so illquid.

41:01

Um,

41:03

I wish I could. Um, otherwise I would

41:06

be, you know, it's just, uh, one of

41:08

these things where you ask me about size

41:11

and how that gets you. So, this is just

41:14

another way.

41:15

>> If I had $30 million account today, I

41:17

would do it.

41:18

>> Even Poland is too small for you right

41:22

now. Yeah, that's a shame. Yeah, I have

41:24

I have some of the Polish stock exchange

41:27

like a small bet on the hedge fund,

41:30

>> but that one's not even that cheap or

41:32

anything. So, you know, I only have

41:35

still I think for tax reasons or

41:37

whatever, you know, it's not even that

41:40

one's not even high conviction. But when

41:42

I look at a couple times I'll get linked

41:44

like a really really interesting Polish

41:46

stock, I'm like, damn. But then I'll go

41:49

look at the the the daily volume. And

41:51

it's like this 40,000 bucks, you know,

41:53

this is

41:55

>> Oh my god.

41:58

>> That's nothing. That that's crazy. And

42:00

um what's your stance on military

42:04

companies uh on US and uh for example,

42:08

we have Trans Dime that went down a lot

42:11

from the high. They do have a really

42:15

strong competitive advantage. They do

42:17

have uh investor oriented management.

42:20

Let's let's put it that way. And uh I

42:23

mean on the other part of the of the

42:26

ocean, we do have Europe and some of the

42:29

European companies are in correction

42:31

right now from mainly from expectations

42:33

of uh war ending soon. But if we look at

42:37

the bigger picture, they are still

42:39

committed to raise the spending the to

42:43

towards the 5% of the of the GDP and

42:46

they are going to build I mean uh

42:48

Germany is rearming, Europe is rearming

42:51

uh uh is this do you do you look look at

42:54

them at all and if you do do you look at

42:56

this correction as a possible

42:58

opportunity?

43:01

The thing about military is um I feel

43:05

like the Ukraine war showed us that um

43:09

what's obsolete and you know a lot of

43:12

the old large defense companies a lot of

43:15

their business I would just say is

43:16

obsolete

43:18

you know that maybe the government does

43:20

or doesn't actually order it anyway

43:22

government can kind of be that way at

43:24

least sometimes but say some of the

43:26

times the government doesn't make the

43:28

mistake so you could say that they sort

43:30

of actually have this headwind another

43:32

way. So even though they've got the

43:33

tailwind of uh Europe European company

43:38

uh countries spending more,

43:41

you know, maybe a quarter of their

43:42

business is totally obsolete. So that's

43:45

like a pretty big problem.

43:47

Um

43:49

and then another problem is I don't

43:52

really I think I have very little faith

43:55

in the European leadership. So I think

43:58

if there was a peace deal, I think those

44:00

5% targets they just

44:03

you know once the virtue signal is done

44:05

after people not thought about it for

44:07

six months.

44:08

>> Exactly.

44:09

>> Um and then now what you know now now

44:12

you have a huge problem if you've

44:13

combined now you have a two headwinds.

44:17

So maybe you could even say it's maybe a

44:20

short especially the European ones like

44:22

I don't I don't even look at a long time

44:24

rin things like that. I mean, that could

44:26

be an interesting short here, but I I

44:28

haven't looked at it. Maybe it already

44:30

dropped a lot. Is that RHM? Look real

44:32

fast.

44:34

>> Yeah, it basically went down double

44:36

digits like 15 20% from from the high

44:40

in.

44:42

>> Yeah.

44:43

>> So, yeah, maybe this could be a good

44:44

short. Actually, I don't really see it

44:46

as a long here. Um, yeah. Not to sh

44:53

this

44:54

shortening this.

44:56

>> Uh,

44:59

>> yes. This is a no-brainer.

45:00

>> We found one.

45:03

>> Well, let me see. So, the

45:06

Yeah. So, basically earnings were bad

45:08

for a long time. Not even that bad,

45:09

right? This that's I was long this

45:11

before the war even broke out and then I

45:14

sold way too soon. But what now? The

45:15

multiple is probably really high. Yeah.

45:17

And this is like this is a 100 times

45:19

earnings almost or something like Yeah.

45:23

>> This is a short.

45:25

This isn't like a buy the dip.

45:30

>> Amazing. This is not financial advice.

45:33

Of course.

45:33

>> Yeah. No. To be my opinion might change

45:36

tomorrow and everything. Who knows?

45:38

>> Yeah. Yeah. So, you need to make your

45:40

own decision, guys. Uh this is just like

45:44

a live discussion and I love it. that

45:46

that's my that's my research process

45:48

sometimes. That's not an exaggeration.

45:50

That's how I

45:52

>> to it.

45:53

>> And and that's my point because when we

45:55

when we spoke before you were like uh

45:57

guys you you told me it doesn't not need

46:01

to be complicated. You need to have like

46:04

if you can write it in like five

46:06

sentences

46:08

>> that's it. It's need to be short and it

46:11

need to hit the point to hit the what's

46:13

the catalyst basically. And such a

46:16

beautiful chart, too. When I look at the

46:18

chart, I just like shorting charts like

46:19

that.

46:20

>> Uh maybe maybe this one could somehow go

46:23

to like 2,200 or something and you lose

46:25

50% on the short. That's not even that

46:27

bad for a short, right? Like shorts lose

46:29

50% all the time and you don't even

46:31

think about it too much. But man, if

46:33

Europe pulls back on the defense

46:34

spending because the war ends, this

46:35

thing's going to drop 80% from here

46:38

>> easily.

46:39

>> Easily.

46:40

>> Easily. And if they are rearming,

46:43

what are they rearming for?

46:46

I mean, are are they I mean, they'll

46:49

have to do something about that. I mean,

46:51

they have fiscal deficits that are

46:53

really hard.

46:54

>> Well, especially Did you see part of uh

46:57

Trump's deal apparently is that the uh

46:59

Ukraine will be able to join the EU? If

47:02

that part goes through, they won't rearm

47:04

for sure because then for sure uh I

47:06

don't think there's any threat that this

47:08

would happen again really, right?

47:10

Maybe not not any but you know it

47:12

becomes way way less likely.

47:14

>> Yeah. and uh your Russian uh Russian um

47:19

focus will switch to other nations like

47:22

Molda where they are already present and

47:26

those let's say noneu and they are

47:29

successfully pushing Russia out of the

47:32

uh what's actually interesting right now

47:35

and a lot of people don't know about it

47:37

but uh our largest oil oil company in

47:41

Serbia uh it is under s sanctions from

47:45

America right now because uh like 56% of

47:50

it is gas from ownership. So I think

47:53

that the part of the deal is and Russia

47:56

had a presence here for basically

47:59

centuries. So, I think that that part of

48:02

the deal between Trump and uh and Putin

48:04

is that they want to okay, they they're

48:07

probably going to go like, "Okay, here's

48:10

those parts of Ukraine, but uh you are

48:13

going out of Europe. Your influence is

48:16

going to zero." So I I think that

48:19

they're going behind the doors they are

48:21

probably going to make a deal deal like

48:24

that because th those this is company

48:26

this company is under sections and it it

48:28

was actually a company that was operated

48:31

uh well which you wouldn't expect

48:34

probably from from Russians but it it

48:36

was operated really well and now they

48:38

they forced us uh basically to to

48:44

nationalize it or sell it to some

48:46

western partner or something like this

48:48

because it's it's basically the leverage

48:50

for Russian politicians to uh influence

48:54

politics politics here and they do want

48:57

to kick it out. I mean Americans and

49:00

Trump administration and they are really

49:02

hard on that not only in Serbia of

49:05

course but in pretty much uh they are

49:07

squeezing Russian influence out of the

49:10

any country. They did successfully in

49:12

Bulgaria a few years ago and they are

49:14

doing it pretty much anywhere. So I

49:16

think that they are like basically

49:18

kicking out Russia completely out of out

49:21

of

49:21

>> I think that that that part I strongly

49:23

agree with. I think this idea that um

49:26

basically Europe got put into a nasty

49:28

recession because of their mistake

49:30

relying on Russia. So I I think that I

49:33

would strongly believe that they're not

49:35

going to do that again. Um so that's a

49:38

smart call. So in this case with um the

49:41

Serbian oil company

49:44

um

49:46

yeah it seems quite likely that Russia

49:49

will be forced to divest.

49:52

Maybe as part of the peace deal they'll

49:54

actually be given a fair price

49:57

um for their share. But I don't maybe

50:00

maybe they'll even be allowed to

50:02

continue owning like a minority stake. I

50:05

could see that too. But

50:08

but yeah, this idea that we're going to

50:09

like live with uh Russian ownership of

50:12

energy assets in Europe, I don't see it.

50:15

Even though it makes no economic sense

50:18

because uh gas it's I mean um you have a

50:22

a southern pipeline that goes through

50:25

Turkey. I mean it's really important.

50:28

There was a project for the northern

50:30

pipeline that that got blown up. I mean

50:34

u and when it got blown up I mean it was

50:36

basically for everyone to realize what's

50:39

actually going on and what is going to

50:41

happen and that is that uh Russian

50:44

energy Russia gets the influence through

50:47

energy and uh even though that energy is

50:50

cheap and that's the complicated

50:51

position right now because if you get

50:53

the cheap energy you get Russian

50:56

influence and uh if you but if you want

50:59

to uh not have Russian influence then

51:02

you

51:04

to pressure your citizens with higher

51:08

costs of energy, which is like a really

51:10

complicated situation for European

51:12

politicians and with being it uh and

51:15

with with them being this slow and uh

51:18

the which is a craziest thing in in um

51:22

my opinion is that in this situation

51:24

you're going towards net zero. I mean it

51:26

makes no sense. I mean and Trump was

51:29

spot on when it when he said to Kier

51:31

Stmer that I mean you do have a lot of

51:34

uh energy reserves. Go and drill baby

51:38

drill as he put it. I mean

51:41

>> UK is in complicated situation. I mean

51:44

you have a way out. You have a way out.

51:46

And uh if you look the like the carbon

51:49

uh output Europe is uh I mean

51:54

not a large percentage of the total

51:57

world and developing n developing

52:00

nations are way way higher. Sorry we we

52:04

drifted from the

52:06

we went into into something completely

52:09

different. What I wanted to ask you uh

52:12

you said that you went through every

52:15

single one of Russell 2000 companies

52:19

and uh how did what did that teach you?

52:23

Because I started studying for CFA and

52:27

uh I realized that there's a lot of

52:29

things that I really don't care about

52:31

and that are like not really useful and

52:34

I was like okay maybe I should just go

52:37

through uh NASDAQ. I went to I'm going

52:40

through NASDAQ still because it's like

52:42

3.7K

52:44

uh companies which is I mean a lot. And

52:46

h how did that process look like for

52:49

you? I mean because 2,000 companies is

52:51

2,000 companies. And uh how did that uh

52:55

what did it teach you?

52:57

>> Yeah. So my my process was it's as

53:00

simple as you like

53:02

there there are a bunch of different

53:03

websites. you can get a list of all of

53:05

the like the stocks in one of these

53:07

broad indexes. Um, I got it in a Google

53:10

sheet and then I would just copy like

53:13

the ticker into something like a ticker

53:16

or any of the the company uh websites

53:20

out there that will give you the about

53:22

the company section and the financials

53:24

section.

53:25

And so in my opinion, you're just sort

53:28

of um it's like um learning a language

53:30

almost where it's just about a number of

53:33

reps, a number of time spent. And so

53:37

after you like read about enough

53:39

different companies and the type of

53:42

earnings characteristics of those

53:44

companies,

53:45

you learn like what quality management

53:49

actually does to a company over the

53:50

years, for example. And you learn what

53:53

like bad management does to a company or

53:55

mediocre management does to a company

53:57

over the years. And I think to actually

53:59

see it, yeah, you can like build some

54:03

lame uh

54:06

model, which is what the CFA sort of way

54:09

of doing it is. Think about it in terms

54:11

of modeling and everything. I think it's

54:13

nonsense. Just go look at what happens

54:14

in the real world. You don't need a

54:16

model. So,

54:19

so yeah, and you're just sort of going

54:20

through and you say, "Okay, this is like

54:23

a company that produces this kind of a

54:25

steel component, right? And then you can

54:29

go look at the financials." And then if

54:32

you've like looked through a ton of

54:33

other steel companies, you sort of know

54:35

which years are weak and which ones are

54:37

strong already. You don't even after

54:38

enough reps, you don't even spend time

54:41

like figuring out why this is so lumpy.

54:43

you just sort of know, oh, it's lumpy

54:44

and they had a bad year, but that there

54:47

was no reason that it was actually bad.

54:49

It's just a tough year for steel or

54:51

whatever. And then, yeah, and then over

54:53

time you start start understanding like

54:56

what it means when a company is um

54:58

stagnant, their products are becoming

55:00

more competitive, they're not

55:01

innovative. How does that actually play

55:04

out in a number of different industries,

55:07

right? Because that it's very different.

55:08

You know, you could say like a Coca-Cola

55:10

type thing has been stagnant, but that's

55:13

basically fine, right? But then a other

55:16

other company, you know, like they make

55:18

um pagers or whatever, you know, or

55:21

something that, you know, is just not

55:23

going to exist anymore.

55:26

>> Oh, which one?

55:27

>> Exxon.

55:28

>> Exxon.

55:29

>> Yeah.

55:30

>> The oil company.

55:31

>> Uh no, no, no. Uh I I don't know how to

55:34

pronounce it correctly. the they are

55:36

making Axon or I don't know how to

55:39

pronounce it. Uh

55:42

>> uh Xerox.

55:44

>> No, no, no. It's they are basically

55:46

making Axon Enterprise.

55:50

>> I don't know this one.

55:51

>> Axon or let me and you'll tell me how to

55:55

pronounce it correctly.

55:57

Uh

56:00

this one.

56:04

Oh, I I don't know this company. I've

56:05

seen it before. I just don't know what

56:07

they do. Is it probably some kind of

56:09

technology company?

56:10

>> I I think they are making pagers, too.

56:13

Uh that that's why I if I understood you

56:16

correctly. Uh

56:18

>> two segments.

56:19

>> They are popular retail.

56:21

>> Oh, I see. I skipped this one just

56:23

because I saw that word software. So, I

56:25

don't Yeah, cloud-based software

56:28

solutions.

56:30

Uh

56:31

>> I mean they do a lot of stuff for police

56:33

for example.

56:36

>> Yeah. But yeah so if you have some

56:38

product that's like stagnant

56:41

um and you actually want to understand

56:43

how this plays out and you know if you

56:45

get enough

56:47

industries and different mixes of like

56:50

let's say you have a stagnant product

56:51

but it's like a great management team

56:53

and how does that play out? And then

56:56

what if it's like a better kind of

56:58

industry that doesn't matter as much if

56:59

it's stagnant but it's got like a bad

57:02

management team. And I think over time

57:04

if you just look at enough companies

57:08

especially when you've like looked

57:09

through say because you're going to

57:11

repeat a lot of them or you're going to

57:12

start looking in other markets once you

57:14

start getting into like the 10 to 20,000

57:17

company range you're just going to your

57:20

brain is going to like notice things.

57:22

That that's what I think. or if you have

57:24

a talent, you'll just start noticing

57:26

things. And it's those things that you

57:27

notice that you can't really mush into a

57:31

formula because there's enough like if

57:32

you let's say that

57:34

you know you have like an industry, you

57:36

have a quality within the industry, you

57:38

have a subjective view about what the

57:40

management is, you have like another

57:42

couple variables. This is so many

57:44

different inputs that there's like a

57:46

zillion you can't like build a model for

57:48

this thing, right? It's um

57:51

Yeah. and you're just hoping to notice

57:53

things over time. That that's all it is

57:55

to me is your brain's going to notice

57:56

these sort of unusual patterns or um

58:01

things that just pop out to you. That's

58:03

the best when something pops out to you

58:04

and you can describe it in just a few

58:06

minutes or a minute or two or whatever.

58:08

And that's what I'm trying to do when

58:10

I'm looking through stocks. Um

58:13

and I don't spend too much time on any

58:15

one stock, you know? It's more like,

58:18

okay, I've read the description. I've

58:19

looked the financials. Maybe I've like

58:21

looked up the inside ownership or read

58:24

something about management. In some

58:25

cases, sometimes I don't even go that

58:27

far, right? It's more like in a minute

58:30

or two I'm done. And then some companies

58:32

I'm skipping entirely. I'll like pop it

58:34

up like, "Oh, software company, skip

58:36

that one." You know, you pop it up and

58:37

it's like a small bank. It's like, I

58:39

don't care about this. Skip that one.

58:41

Um,

58:43

and then yeah, and then I think once you

58:45

start like getting those reps in

58:49

because when I was first starting, I

58:50

would just do this. I'd wake up, I'd do

58:53

it for 15 hours, I'd go to sleep, and

58:56

the first thing I wanted to do when I

58:57

woke up again was just do it again. And

58:59

I did this for months, just non-stop.

59:03

Uh, so that's where I feel like I really

59:06

learned the most about investing. And

59:08

nowadays, I don't think I'm really

59:09

learning that much more when I do it. So

59:12

there's not really a a need to do it

59:14

now. Things just sort of uh yeah, I

59:16

review not as many companies every day.

59:18

>> And how much did you pass uh how much

59:22

time uh did you spend per company?

59:26

>> Yeah, on average it's like probably a

59:28

minute or two and then it's got a a

59:30

right tail though because a lot of them

59:33

I'm done in less than a minute or 30

59:35

seconds but then you know once in a

59:37

while you're spending like a lot more.

59:39

So maybe with that a lot more it's more

59:41

like a few minutes I don't know exactly

59:43

but it's not a lot on average

59:45

>> and and what we say are the main green

59:48

flags and what are the main red flags

59:51

when you are looking let's say for a

59:53

minute so yeah it's if it's biotech if

59:56

it's software yeah we exclude them

59:58

completely but what are the like

60:01

quantitative

60:02

things I suppose high debt

60:07

>> well I'm looking for both longs and

60:09

shorts. So there's not really a red

60:11

flag. I'm more trying to like cut out

60:13

things that

60:14

>> Yeah.

60:15

>> You know, you're like, "Okay, this thing

60:17

is a medium quality business.

60:21

It's kind of stagnantish. Management has

60:23

no skin in the game. It's trading for

60:25

like 12 times earnings."

60:28

You know, is that really that

60:29

interesting of a long or a short, you

60:32

know, because it's not really shrinking.

60:33

It's just sort of nothing's happening.

60:35

If return on capital is really low, I

60:37

think it could be a pretty good short.

60:40

Um, but otherwise, that's not

60:42

interesting at all on the long side to

60:44

me. Or even if it's eight times earning,

60:46

it's not interesting as a long to me.

60:48

It's just junk. But it's not good enough

60:50

to short either. Weird things happen.

60:52

These things can squeeze. I already have

60:54

enough sort of factor exposure to that

60:55

kind of thing anyway. I don't need the

60:57

the better, you know, better middle

61:00

portion of that kind of stuff. So, I

61:03

just try to skip that quickly.

61:05

Um but if I can find a company where

61:08

revenue is kind of going up over time or

61:10

revenue is kind of going down over time

61:13

pretty steadily and then I try to think

61:15

about well why right and then multiple

61:18

doesn't matter as much uh in those cases

61:22

right I mean it matters of course some

61:24

but you know if you can figure out oh

61:26

this company's revenue is going up and

61:28

it trades for like 14 times earnings and

61:32

they're pretty nice payout and business

61:34

quality seems seems pretty decent, you

61:36

know, that then I try to figure out why

61:38

can I understand this industry more on

61:40

the long side. Longs are way harder

61:42

because longs um longs are harder

61:45

because you have to like spend more time

61:46

figuring them out. Uh but they're easier

61:49

because once you've figured out a long

61:51

you can like I've had some of my longs

61:53

for five years now and you know I don't

61:56

have to replace them too often because

61:57

if you if you get it right they just

61:59

sort of keep on winning.

62:02

For me, for example, it's the opposite.

62:04

For me, because I was mainly the the

62:06

long investor and uh for me, it's uh I I

62:11

know I know why I have the company. So,

62:14

it's easy for me to to have them. And on

62:17

the other hand, when uh the short pop

62:20

pops up like 10 20% without a reason,

62:24

I'm like paper hands, let's use that

62:28

word. And it's complicated for me. Even

62:31

though nothing changed, I'm like okay,

62:33

maybe we are having a I mean look at the

62:36

last few days for example uh really bad

62:39

uh rates really a lot of real bad

62:42

companies went up in the last few days

62:45

10 20% uh I don't know if that's the

62:48

case but rates specifically also a lot

62:52

of consumer discretionary went up went

62:54

up without a single reason and for me I

62:57

I find it uh challenging in a way. And

63:01

how do you deal with that?

63:04

>> Well, in this case, it was just because

63:06

the odds of the rate cut is changing so

63:08

fast, right? That's why we got the nice

63:10

drop and that's why we got the sharp

63:13

rebound.

63:14

Um, so yeah, obviously my short book

63:18

went poorly the last few days, too, but

63:22

overall I was, you know, decently

63:24

balanced. So, I think I only maybe lost

63:27

slightly through it or maybe we're flat

63:29

even.

63:31

So, I'm just trying to position it

63:33

before you even go in. I think I've

63:35

mentioned So, I think the best example

63:37

for the rates uh specific

63:40

is um rate factor is just real estate.

63:44

So, I'm short a bunch of these crappy

63:46

office buildings and those went up like

63:49

a lot.

63:50

>> Yeah.

63:51

>> Right. But but you can balance that with

63:54

some more rate sensitive kind of shorts

63:56

too or sorry longs.

63:59

Um and you don't want to have too much

64:01

exposure like I think crappy offices are

64:03

just this wonderful short here and I'

64:06

I'd like to do even more but I know that

64:08

if in this kind of a move you can get

64:11

slaughtered if you have too much of it.

64:12

So, I just keep my gross exposure

64:14

reasonable and then I'm aware of like

64:16

what other types of things I have that

64:18

have the same kind of uh rates exposure,

64:21

especially hard that's that one's like

64:23

hardcore rates exposure. Like if you're

64:24

short real estate stuff, you're going to

64:26

lose badly when this is happening.

64:28

That's just a fact.

64:29

>> Yeah.

64:29

>> Um so, so you you know, you just want to

64:33

be aware of like what your sensitivity

64:36

to the rates factor is. I think I

64:38

mentioned in a previous interview, you

64:40

have these correlation buckets.

64:43

And so I have offices in their own

64:44

bucket, but I know like out of all my

64:47

different buckets, which ones are

64:49

actually going to be correlated to

64:50

rates. So I'm like this one, that one,

64:52

and this one are probably pretty damn

64:54

correlated to rates, right? And my total

64:56

short exposure to these things is like

64:58

12% or whatever, right? And then but

65:01

I've got a fair bit of good longs to

65:03

pair with it that'll protect me. Uh and

65:07

so overall, you know, it's not you maybe

65:09

you're going to lose some money during

65:10

this period, but it's not that bad if

65:12

you're balancing it right to begin with.

65:15

>> And uh how are you preparing? I mean,

65:20

maybe we don't get the next cut uh in

65:22

December, but uh I mean, it's certain

65:26

that Trump is going to put uh someone uh

65:31

he agrees with in the May as a new Fed

65:34

chair. I mean I think it's a high

65:36

probability of probably being a

65:38

Christopher Waller or someone like that

65:40

and I mean the the the reality is is

65:43

that probably rates are going down and

65:45

how and with rates going down in let's

65:47

say in next two to three years how do

65:50

you uh prepare for for that scenario

65:54

because in that scenario a lot of that

65:56

junk rates are probably going to go up

65:58

50 100%.

66:01

>> Yeah. So to be clear, what what's going

66:03

to happen is when those expectations are

66:07

changing rapidly, that's when the damage

66:11

happens, right? So besides that, it it

66:15

almost has to happen, right? I mean, if

66:16

if you're saying, oh, well, rates are

66:18

going to drop a percent and a half,

66:21

then, you know, real estate basically as

66:23

a whole, it has to move.

66:26

>> Yeah.

66:26

>> That that way. But you're not shorting

66:29

real estate as a whole. You're shorting

66:30

like the insolvent crappy office, right?

66:33

>> Yeah.

66:33

>> So during that move, you're you're

66:35

you're probably going to like lose even

66:37

more on average during that sharp move.

66:40

But these moves don't happen that often.

66:42

You sort of remember them because

66:43

they're so painful and horrible when

66:44

they do happen.

66:45

>> You're right.

66:46

>> You got to you got to block that crap

66:47

out, man. It's just like, okay, I

66:49

position myself to survive this. We lost

66:52

a percent or two of nav because of this.

66:54

That sucks, but it's not the end of the

66:56

world. And then it's really annoying

66:59

when like 3 weeks later they the thing

67:01

happens again against you like damn we

67:03

just lost another 2% this way. It's

67:06

really lousy, right? Especially if it

67:08

happens rarely three in a row. It's

67:09

really really crappy. Um

67:14

you know and that'd be a pretty extreme

67:15

outlier. But then yeah, so if you're

67:17

positioned to lose a couple percent each

67:19

time, now you're down six 8% or

67:21

whatever, it's not the end of the world,

67:23

right? And then now you're pretty set up

67:24

now. Most likely it's not going to

67:26

happen four in a row, right? and rates

67:27

can only actually go to zero. Uh and

67:30

then after that you're insolvent crappy

67:31

office, it's going to trend to zero most

67:33

likely. I mean, if you're right

67:34

fundamentally,

67:36

um

67:38

so that's

67:40

yeah, you position yourself to defend

67:42

it. You don't change what you're doing

67:44

just because the sort of unlucky thing

67:46

happened. I don't think anyone can

67:47

really predict which way rates are going

67:49

to go from here.

67:50

>> Yeah. or if they can predict it. I don't

67:52

know think they can know how much it's

67:54

priced in, you know, because you know,

67:56

even though it'll move some, it just if

67:59

it's really obvious to the market what

68:01

you're saying because people think about

68:03

rates so damn much. Like that's all they

68:06

do. They just sit there and try to guess

68:07

what rates are going to be in a year.

68:10

Um,

68:13

so

68:14

yeah, it's pointless in a way to to

68:16

guess something. I mean, it's completely

68:18

unpredictable. Only thing you can do is

68:20

that you can from time to time bet on

68:23

rates uh with futures and basically look

68:26

for a symmetry somewhere. And uh

68:30

>> that's the only time I bet on them.

68:32

>> What?

68:33

>> I I only bet on them once cuz in 2020.

68:37

>> Yeah.

68:37

>> Everyone was saying they they can't go

68:39

up.

68:40

>> Like they can't? What do you mean they

68:41

can't?

68:42

>> Yeah.

68:42

>> So I look at the odds. I'm like, "Oh,

68:44

okay. Well, they're saying 200 to one."

68:46

Like, "All right, let's go.

68:47

>> I'll play that." But no, no one's saying

68:49

anything like that today. If you look at

68:50

I've look I sort of have them on the

68:53

screen. I look at them once a month

68:54

briefly just to see what people are

68:56

thinking. It's it's all like very

68:58

competitive and people are actually

68:59

looking at the variable a lot today. You

69:02

know, if someone has an edge today, it's

69:04

not that big. It's not that 200 to one

69:05

nonsense anymore.

69:07

>> Yeah. Yeah. And uh the the also really

69:10

interesting thing you said is that uh

69:13

you could easily short I think you said

69:15

like 25% of the US stock market.

69:19

uh you said like that like a month ago

69:21

and it's really interesting especially I

69:25

recently looked into a data I I don't

69:27

remember who published it but uh the

69:29

point is that only like 3% of the

69:33

companies uh were like 95 97 something

69:38

like that uh uh percentage of the total

69:42

return above risk-free rate which is I

69:45

mean it's crazy I mean your your goal is

69:48

basically

69:49

to

69:50

avoid shorting those companies and by

69:52

excluding tech companies I mean it's a

69:56

really low probability that you are

69:58

going to stumble on on any kind of those

70:01

and uh on the other hand there's a fine

70:04

probability that you are going to long

70:06

at least one of those those companies

70:10

for example like TSM or Google or

70:13

>> Yeah.

70:15

Yeah. the the trick is you don't want to

70:17

get run over too bad and everyone

70:19

they're always trying to short like

70:22

this really uh because like if like just

70:26

forgetting about the whole thing I said

70:28

about the um rate sensitive shorts which

70:31

you're going to get killed on but if

70:32

you're short like the worst two 3% of

70:35

companies

70:37

all of that's going to be correlated too

70:39

and it's going to be correlated in a

70:40

really really bad way. Uh, so, you know,

70:43

I've said in a previous conversation, I

70:45

don't short any of that stuff. I really

70:47

mean it. I would just try to avoid it.

70:49

Um, or at least wait for some blowoff

70:52

top kind of move and then short some.

70:54

But, uh, to me, shorting it today seems

70:56

like crazy. I wouldn't short that. And

70:59

that screws you up. But if you can sort

71:00

of cut out that worst uh 3 5% of stocks,

71:05

really even three, it's, you know, if

71:07

you can just avoid that, and they're

71:08

really obvious. They totally suck. And

71:10

sure, in 10 years they'll probably all

71:11

be down 99% and everything. And you

71:13

know, it doesn't matter. Who cares about

71:15

that? What matters is path dependency.

71:17

And you know, again, I had to learn this

71:19

lesson a million times. I still screw it

71:21

up sometimes. But um yeah, if you just

71:24

avoid those and yeah, if you can short

71:25

the next 25% of stocks that all suck,

71:28

and there's like 800 things you could

71:30

short that will do this, they're going

71:32

to sit there and grind alpha for you

71:33

like double digits or something. And

71:35

it's going to be amazing.

71:37

Uh we also spoke about that you you you

71:40

you were considering uh longing some of

71:44

the junk companies

71:46

>> uh because uh yeah

71:48

>> I couldn't bring myself to do it. I

71:50

should have I said I should get long arc

71:52

in that conversation at

71:54

>> I didn't do it I should have it would

71:55

have worked.

71:58

Do you do you still consider it I mean

72:00

not I mean it does not need to be like

72:03

junk but let's say something like uh

72:07

hipper growth companies look uh like

72:10

applovin for example or you know

72:13

>> luckily the other portfolio managers buy

72:16

that kind of crap sometimes so

72:19

>> okay

72:20

>> get exposure that way now

72:22

>> okay that's amazing that's amazing and

72:24

uh how do you see the current situation

72:26

with the I I mean I have to ask you that

72:29

it's the most important topic right now

72:32

uh with AI and with Oracle bonds and uh

72:38

uh I mean capex in general everything

72:41

that's going on with Google and Nvidia.

72:44

>> Mhm. Yeah. So um I posted about that. I

72:49

basically liked Google because they have

72:51

those TPUs.

72:53

Um, which might end up being like better

72:55

than Nvidia's technology even. It's

72:58

totally possible.

73:00

Um,

73:02

so yeah, I've been long Google on that

73:05

thesis.

73:07

Also, their Gemini is like the number

73:09

two player in AI probably and that the

73:11

rate of change it's sort of implied it

73:13

could be the best one in a year. And so

73:16

if both of those thesis work at the same

73:19

time, then this thing's still going to

73:20

go up another 50 or 100% I'd say. Um, if

73:25

only one works, it's hard to lose that

73:26

much money. Um,

73:30

unless of course the whole AI bubbleish

73:33

kind, you don't even know if it's a

73:34

bubble. Let's say it is. If that bubble

73:36

pops, of course you're going to lose.

73:38

Um, Nvidia, I've thought it seems

73:40

precarious here for quite a long time.

73:42

Um, it was way too cheap in 2023. I quit

73:46

this year finally because it became

73:49

apparent to me that their remote might

73:50

not be that strong, plus the TPU threat.

73:53

So,

73:56

um, that one's not that interesting. I

73:58

still think companies like Microsoft and

73:59

Apple are very threatened by AI. I don't

74:02

really see any good opportunities for

74:03

them. It just seems pure negative. uh

74:06

Oracle. It's just sort of like an old

74:08

man who, you know,

74:11

I mean, it makes sense.

74:12

>> Young like

74:14

>> Exactly. I I think I think AI could be

74:16

used as a way to to do medical research.

74:18

I think that's by far the most

74:20

>> Yeah.

74:20

>> real reason to even do AI and he's a

74:22

really smart guy. Maybe he sees the same

74:24

thing. So, if I was

74:26

>> in his shoes and I wanted to live

74:27

forever, then I would be going all in on

74:29

AI because actually, who gives a damn if

74:31

you go bankrupt in 10 years? It doesn't

74:33

matter at all to you. you just you're

74:34

going to like

74:35

>> Yeah, he's like years old.

74:38

>> Yeah, he's in he needs to race to get

74:40

this done and so I think there's a good

74:42

chance he's even quietly thinking about

74:44

it that way. I don't think he's talked

74:45

about it, but you know, if I was him, I

74:48

wouldn't talk about He's a smart

74:49

businessman. You don't want to tell

74:50

people what you're doing. Um I don't

74:52

think any of them would say what they're

74:53

doing. Um that's the thing though, like

74:57

m like Apple is not even run by an

74:59

innovative guy. is just sort of this guy

75:00

who's good at squeezing out dollars from

75:02

somebody else's great product.

75:04

>> The Apple's really a bad one.

75:06

Microsoft's maybe a little bit better,

75:07

but they seem very by the book and

75:09

cookie cutter and very systematic.

75:12

>> Are they really going to like go start

75:13

doing really groundbreaking new things

75:16

like medical research? I don't really

75:17

see it. It's not the same maverick kind

75:19

of thing as Oracle.

75:22

Oracle itself, you know, it's just

75:24

basically an all-in bet on uh how AI

75:27

hardware is going to turn out. And if it

75:29

turns out that was money poorly spent,

75:31

the company could easily go bankrupt.

75:34

Um

75:35

because they I mean their profits aren't

75:37

really that good, right? It's just sort

75:38

of okay.

75:40

>> Yeah.

75:40

>> Plus I'm saying that AI could be a

75:42

threat to their kind of business, too. I

75:44

don't I don't know that much about

75:46

Oracle, but

75:48

um Zuckerberg, I'd say he's more of a

75:51

maverick. Maybe he'll go down paths to

75:53

make a good AI product. Um, I don't even

75:56

know if he's trying to compete in the

75:58

LLM stuff. I think the LLM stuff itself

76:00

is just sort of a dist not a

76:03

distraction, but like, you know, there's

76:04

a lot of other ways to play AI, and

76:07

Zuckerberg is probably smart enough to

76:08

realize that,

76:10

>> but he again, he's just going to he's

76:11

not going to tell people what he's

76:12

doing. He's a very um shrewd business

76:14

person.

76:16

>> Um, he's made it very abstract. We're

76:18

just betting huge on AI. What do we have

76:20

to lose? Blah blah blah. But he's not

76:22

going to tell people like, "Yeah, we're

76:23

going to start diving into medical

76:25

research."

76:27

He's not going to tell people that

76:28

honestly.

76:30

>> Uh I also have the problem in

76:33

understanding Alphabet. I think that's

76:35

the company I maybe I even lost some

76:39

money on. Uh if we take everything uh

76:43

last I don't know how many years. For

76:45

example, I was longing meta when it was

76:48

like 100 110. I was buying meta. I was

76:51

buying Google on this correction right

76:53

now. I was before that I was buying in

76:55

the '90s. But Alphab uh I mean uh Apple

76:59

I I don't get that company. I mean it's

77:01

uh No, it's at all time high. I mean

77:06

how

77:08

>> you mean Google or Apple?

77:09

>> Sometimes it's I'm sorry. Sometimes it's

77:11

like a riskoff company. It it behaves

77:14

like a riskoff company. I mean it's it's

77:17

wild.

77:18

>> Well, sorry. Are you talking about Apple

77:20

or Google?

77:21

>> Uh, Apple. Apple right now.

77:23

>> I thought you were. I thought so. Okay.

77:24

Yeah. So, yeah, I think Apple is um

77:29

It's a weird It's a weird company,

77:30

right? Because it's part technology, but

77:33

not super. Especially, I've learned a

77:35

lot about their culture from people

77:36

working there. Uh, they describe the

77:39

company culture as like very um

77:42

what's the word? Like uh practical. Like

77:44

they just want to get it done. They

77:46

don't care how elegant or wonderful it

77:48

is. that just sort of like what's a very

77:50

efficient way we can do this pretty well

77:54

and that doesn't really like make me

77:57

think that they're going to make some

77:58

wonderful thing with AI. Again, all

78:00

they're doing is sort of it's like part

78:02

luxury brand. You're paying way more for

78:04

a phone than you should be. And it's

78:06

part like kind of technology. I mean,

78:08

they're processors I guess a bit, but

78:10

otherwise it's just they're assembling

78:11

other people's technology and then they

78:13

have the OS as a mode. So,

78:17

you know,

78:18

yeah, I think Apple here is is not good.

78:23

>> And I I have few more questions. I'm not

78:25

going to ask many more. Uh first, uh

78:30

what do you think of I forgot to ask you

78:33

regarding the situation in Japan? What

78:35

do you think about the yen carrier

78:37

trade? Uh, I think that people are much

78:39

more aware now than they were when was

78:43

the last problem like a year ago

78:47

of of that unfolding. I mean, even you

78:50

have a large exposure to Japanese yen.

78:55

>> Yeah, I I've been in the yen carry trade

78:57

since 2023.

79:00

Um, I'm owning stocks that earn in yen,

79:02

though, so it's not exactly a one for

79:05

one, but I was, yeah, I was 100% hedged

79:09

on the yen until August 2024 event.

79:13

After that, I think I switched to 50 to

79:15

75% somewhere in that range on average.

79:19

And um,

79:21

yeah, actually when like I think like

79:24

David Einhorn's a contra, so when he was

79:26

talking about being long the yen, I was

79:28

like, "Oh, awesome. I'll I'll short more

79:30

yen here.

79:33

>> Oh my god.

79:34

>> You know, and that guy sucks. Uh

79:38

but yeah, and and so basically it's this

79:41

trade like I mentioned in a past

79:44

conversation. This trade has been

79:45

working for 15 years. Nobody ever talks

79:48

about it. That Jason Chapyro uh he

79:52

recently did an episode on the uh yen

79:54

carry trade. Um

79:56

and his read was the same as mine. like

79:59

he's been in the investing world this

80:01

whole time. He knows a lot of people in

80:03

investing

80:05

in all sorts of different types of

80:06

investing and everything. He's never

80:08

actually met a person who's in the yen

80:10

carry trade.

80:12

Think about that. And I'm the same way.

80:14

I've never heard of another investor

80:16

talking about, oh, we should be in the

80:18

yen carry trade. So

80:21

that makes me think it's extremely

80:23

uncrowded. It's probably more likely to

80:25

work. It's still probably pretty

80:27

asymmetric and everything. That's

80:29

especially true with Japan's political

80:31

situation where she's just saying,

80:33

"Well, we're going to run it hot and

80:35

we're going to

80:36

>> Yeah.

80:37

>> You know, fiscally and monetary and

80:39

>> yeah, you should delever. I mean, it's

80:41

obvious. It's there's no place for

80:44

surprises.

80:46

>> Yeah. The only weird thing, I guess, is

80:48

that the long rates are going up so

80:50

much.

80:50

>> Yeah, that's a problem.

80:52

Uh

80:55

but that that just sort of makes

80:57

fundamental sense too, right? Because if

81:00

the government saying we're going to

81:02

play it fast, then you know, you don't

81:04

actually want to be ODN 20 years into

81:07

the future.

81:08

>> Yeah.

81:08

>> And sure that but they they can't really

81:10

control the long end too much, but the

81:13

short end, you know, it's uh they're

81:16

keeping it artificially low. So,

81:20

and there's no way they can really

81:21

afford to pay way higher interest rates,

81:24

you know, even in real life, if I can

81:27

like buy one of these new apartments and

81:29

one of these new buildings they're

81:30

building, um, if they're going to give

81:33

me a loan, I would just go buy one of

81:34

those on the five-year, you know, 1%

81:37

loan or whatever,

81:40

1.5% loan.

81:42

>> Yeah, the same.

81:45

>> And it's the same thing with stocks.

81:47

It's even better because in in the

81:48

stocks you can

81:50

>> you're borrowing for half a percent.

81:53

>> Yeah.

81:53

>> And this is even better. You have better

81:55

even better real estate than what I'm

81:57

talking about. It's just you have a

81:59

>> you know you just can't bet too big for

82:01

margin reasons versus if I buy the the

82:03

physical thing then they can't margin

82:05

call me on that portion of the loan. So

82:10

yeah, I think that the end carry trade's

82:12

still good. And I love that nobody is

82:14

talking about it still. Nobody talks

82:16

about this.

82:17

>> Yeah, that's interesting. I read

82:19

somewhere that it's like 4 to 500. Maybe

82:22

I'm completely off. 4 to 500 billion is

82:26

in that trade. Uh I I don't know how

82:29

>> maybe

82:30

>> they can calculate it, but I mean uh I I

82:35

I don't know about that. And what would

82:37

you say is the is there a thing that um

82:40

concerns you and makes you scared right

82:43

now that could happen?

82:45

Is there something that you are worried

82:47

about in the in the markets in the in

82:50

the world

82:52

>> like um

82:56

I mean you're sure you're prolific short

82:59

seller it would probably help your

83:01

performance is if something bad could

83:05

happened in a way let's say global

83:08

slowdown or global recession or

83:12

>> escalation

83:14

>> I think

83:15

the the likelihood of a recession today

83:17

is really underappreciated

83:19

and it's because we haven't had one in

83:21

15 years. Uh I've been wrong so far, but

83:25

I think I posted about a year ago or

83:27

nine months ago or something that it

83:29

seems more likely we can have a

83:30

recession than any point that I can

83:32

remember.

83:34

Um in fact, I think if you just took out

83:37

this sort of AI enormous spend, we'd

83:40

already clearly be in a recession.

83:43

Although, you know, I guess consumer

83:45

companies just reported kind of strong

83:47

earnings. I mean, one I was short.

83:50

It spiked 30% in a day, but their

83:54

comparable sales were still down three

83:56

4% or whatever

83:58

>> yesterday.

84:00

>> Yeah. And it's like, well, why' this

84:02

thing go up? That seems like my thesis

84:04

was on track. I don't know why this

84:05

spike 30%. people on Twitter are saying

84:07

how, oh, this is surprising to the

84:09

upside and and a couple individual

84:11

companies, sure, but when I'm looking at

84:13

the things I'm short, I'm like, this

84:14

doesn't look good. The consumer does not

84:16

look healthy at all here. You have all

84:19

these um like delinquencies on credit

84:22

cards and student loan and car loans. Uh

84:26

you have the value of the homes are

84:28

dropping like crazy. something like

84:31

isn't it something like uh forgot the

84:33

number but yeah a lot of a lot of home

84:35

values are dropping right now instead of

84:37

increasing

84:39

um lumber prices are super down so

84:41

construction's down new home prices are

84:43

less than existing and etc there's a lot

84:45

of like negative information out there

84:47

you just look at like that the lowest IQ

84:49

chart of it all right is like the

84:50

unemployment charts or things like this

84:52

where they're they're going up and it's

84:54

like

84:55

by some measures this is kind of

84:58

cherrypicking the measure a little it.

84:59

But every time the the chart's been that

85:01

bad, it's it's always been a recession

85:03

every single time.

85:04

>> Yeah. Yeah. I know. I know what you the

85:07

chart you're talking about. Yeah. When

85:09

it goes up,

85:10

>> it's a little cherry picked. It's a

85:11

little bit, but but still. Uh

85:15

>> so that's not why I'm running negative

85:18

beta. I just run negative beta now

85:20

because that's I generate too much alpha

85:22

on shorts. That's it. Um

85:26

but

85:30

But yeah, I mean I I'm glad that I have

85:32

the shield if we do get the recession

85:34

because if we get a recession and let's

85:36

say the AI thing

85:38

uh dies down at the same time, the

85:40

market's going to drop like at least

85:42

40%.

85:43

>> Yeah, that's that's for sure. And uh I

85:46

mean that's a scenario where where it

85:49

happens, but I I think that Trump is

85:52

very well aware of that. and uh we still

85:55

live in a world where you have four

85:57

years of political term. So your main

86:01

goal is to win the next one. So first of

86:04

all I I I think that they are going to

86:06

support the the AI. They they might say

86:10

that they are not going to do it but I

86:12

think that they will because it's

86:14

already now too important. Investments

86:17

are too too important right now. I mean

86:20

TSM is coming to to us. I mean it

86:23

already is there a lot of investments a

86:26

lot of government involvement and I

86:28

think that they're going to do more of

86:30

that in the future and if we look at

86:32

China they did a lot of good things with

86:36

certain industries uh because of state

86:39

capitalism because state was okay we are

86:42

going to give you tax benefits we are

86:44

going to give you subventions and and

86:47

stuff like that uh and uh

86:51

I think there's more government

86:52

government involvement and on the other

86:54

hand we do have this extremely large

86:57

fiscal fiscal deficit and uh it's not

87:01

going anywhere simply it's not going

87:03

anywhere and with that amount of

87:05

government spending uh

87:08

we would have a recession like in in 200

87:13

at the end of 2022 beginning of 2023 if

87:17

there was not such a large government

87:19

spending in my opinion But I I mean you

87:23

take a lot of the point of restrictive

87:27

monetary policy with the expensive

87:29

fiscal policy and that I mean what you

87:33

you take off the power a lot of it from

87:36

um from monetary policy but uh and the

87:39

way we are going to lower rates I I

87:42

think that's why Trump is pushing so

87:44

hard to for them to lower the rates

87:48

because they they they know what's going

87:51

under the hood. They know that there's

87:53

like 10% of population generating like

87:56

50% of the of the consumption which is

88:00

uh like completely crazy. It's highest

88:03

level in like I don't know how many

88:05

decades. Definitely highest in the last

88:09

five five decades decades.

88:11

>> Yes. Yeah. Same reason mom dami won.

88:14

Same thing.

88:15

>> Exactly. And uh what do you think about

88:17

that? Why? Why I'm asking you this?

88:20

Because I was looking recently at some

88:24

popular trade was to long uh Miami real

88:28

estate companies and to short New York

88:30

real estate companies. Do you think

88:32

that's uh overblown? Because his goal at

88:36

the end of the day is to have more real

88:38

estate and uh I mean it's contrarian

88:42

thinking from from my side to maybe New

88:46

York real estate companies that are

88:47

alone now. I mean, maybe

88:49

>> for me it's just easy to be short um

88:54

like the San Francisco

88:57

uh one

88:59

>> and the like I I was short some New York

89:01

bad offices too. I like shorting the

89:03

offices out of all the real estate. Um

89:07

and so I I'm shorting that basic idea

89:10

because these people are going to vote

89:12

to make the place even worse. But even

89:15

without that political thesis, I think

89:17

the fundamental thesis is great and

89:19

straightforward, too. Um, and then

89:22

longing Miami real estate, I don't know.

89:27

That seems like very mediocre to me when

89:29

I look at valuations and things anyway.

89:31

And I I just don't really

89:34

I don't really see it.

89:35

>> I think it's all that that trade is

89:37

probably I think it's already over. I

89:40

mean, some of them went up up like 50%

89:43

100% in a in a short period of time. It

89:46

was basically short-term trade in a

89:49

sense. But I think New York real estate

89:52

is

89:53

>> I I I don't know where this could go. It

89:55

could go either way.

89:58

>> But I do agree with you that it's

89:59

probably going to get worse because

90:02

>> the thing is these things can be a bit

90:03

of a death spiral because New York kept

90:05

getting worse for a long time until

90:07

Yeah. that people finally got so fed up

90:09

with it they elected um a Republican.

90:14

>> Does it feel like they're close to that

90:16

today? I mean, I just don't it's not

90:18

even on their radar today. They're not

90:20

even thinking about Yeah, it was

90:22

Giuliani.

90:26

So,

90:28

you know, I do I

90:31

are they going to keep voting for this

90:32

these kind of socialist people? Are the

90:35

socialist people even going to follow

90:36

through with their terrible ideas?

90:38

It's it's hard to say. Mom Dami seems

90:41

pretty authentic, though. I think he'll

90:42

do whatever he can. You know, he he's a

90:45

believer. I don't think he's ever had a

90:46

real job and things. I mean, this guy,

90:49

>> of course, he's a believer. So,

90:52

>> to him, everything about capitalism is

90:54

just rigged and flawed. So why wouldn't

90:57

he just

91:00

>> I mean it's crazy that today China is in

91:04

some ways more capitalistic than

91:06

European nations. I wouldn't say US but

91:11

the way it's going it could be but

91:13

definitely than a lot of European

91:15

nations. I was recently looking at the

91:17

taxes in China. Taxes in China are way

91:21

lower than in a lot of major European

91:25

nations. Well, welfare state is not on

91:28

that level. I mean is is uh an uh um

91:33

inequalities are also completely

91:36

different and I mean it's

91:39

in the same time really interesting

91:42

world on the other hand it's you don't

91:46

know where it could go. I mean and um I

91:49

I have to ask you a few more uh quick

91:52

one. Uh when do you exit short? For

91:54

example, uh we spoke about manpower

91:57

group. I mean it's a terrible terrible

92:00

business, terrible company, stagnant

92:02

company. For example, they went up 10% I

92:05

think in two days. So when do you

92:08

consider actually closing if you have

92:11

them? Of course. Uh,

92:14

>> I don't think about it too much and I I

92:16

especially don't think just cuz um

92:19

I mean the last couple days were kind of

92:21

wild. We also have the whole

92:23

Thanksgiving effect. I don't even during

92:26

Thanksgiving week I don't even really

92:27

pay attention to it. Uh

92:31

so

92:33

I yeah I wouldn't really quit unless

92:35

like risk management kicked in but you

92:38

know that's 10 20% moves not causing

92:40

that.

92:42

Um,

92:44

I usually just like to let winning

92:46

shorts run after they've been winning. I

92:48

I I don't even I usually just because

92:50

the position gets a lot smaller and then

92:52

because my account's winning, too. So,

92:54

let's say short's down 50%. And their

92:56

account's up 40%. You know, this short

92:59

is just all of a sudden got really tiny

93:01

and uh for tax reasons, I just don't

93:05

want to quit even. I I just leave it

93:07

alone there almost always.

93:12

So to me that's I guess the ideal

93:14

situation. If anything I'm more thinking

93:17

should I how can I add to this thing

93:20

because that that's the kind of

93:21

situation where let's say that the

93:23

fundamentals have deteriorated a lot

93:25

even worse than I thought and uh and my

93:29

account's been winning. So now, you

93:32

know, what was originally say, call it

93:35

um a 40 basis point position now is like

93:38

18 basis points.

93:41

Um you know, that's not a spot to quit

93:44

the short at all. That's a spot to re-up

93:46

it and maybe even go up to 0.5

93:49

>> which is not intuitive. And I think

93:52

that's why the fact that short sellers

93:55

it's it's kind of emotionally hard to do

93:57

it right because especially the times

93:58

where

93:59

>> you lose it all back and then some.

94:01

>> That's really lousy. But

94:04

>> that shouldn't matter at all, right? The

94:05

market doesn't care what price you paid.

94:08

>> Um so yeah, in that situation you should

94:12

be adding. The fact that it's so

94:14

emotionally hard to add, that tells you

94:18

why it's probably good to short it

94:20

because other people don't want to do

94:22

it. And it's very annoying because like

94:25

a third of the time you are going to be

94:27

wrong and it is going to cost you money.

94:31

But or even if it's 40 43% of the time

94:36

or whatever, you know, that's still a

94:37

good bet. Bet on the 57%, man. Don't get

94:41

caught up on uh did the short that was

94:44

winning turn into a loser? That's like

94:46

totally the wrong way of thinking about

94:47

it.

94:48

>> Yeah. Yeah. Thank you. Thank you.

94:51

Because I'm I'm always looking to like

94:53

win to not

94:55

>> Yeah. You don't Yeah. Just play the

94:57

odds.

94:59

>> Yeah. Basically, just play the odds. I

95:01

mean, that that's the poker player

95:03

speaking from from you.

95:06

>> Yeah.

95:07

>> And you gota you got to do it that way.

95:09

You really do because

95:12

yeah, I think that's a big leak people

95:15

have is just quitting winning positions

95:17

generally, but it's especially true on

95:19

shorts.

95:22

You know, a good reason to quit a short

95:23

is let's say that um

95:27

like really bad seeming news came out

95:31

and at first you sort of think, oh,

95:32

okay, that's pretty bad. But you're not

95:35

that sure about it, right? And then

95:36

let's say you've been stewing on it for

95:38

a week or two and you're like was that

95:40

really that bad of news or you know is

95:43

the market like way overreacting here?

95:45

Like let's say like a good example would

95:47

be like a legal threat or regulatory

95:50

threat or like a CEO scandal especially

95:54

something not even related to the

95:55

business like the CEO got into a fist

95:57

bite at a bar or something. It's like

95:58

okay that's not great but does this

96:00

actually matter that much sort of thing

96:02

for the company you know? Um, what

96:05

actually changed is a good way of

96:06

thinking about it. Like, okay, the CEO

96:09

has some issues, but he's been CEO for

96:11

six years and here's the results of the

96:13

companies since he's been CEO. Nothing's

96:15

actually changed here, right? Or like,

96:18

oh, the government is alleging this

96:20

horrible thing about this company.

96:22

They're saying the company's going to

96:23

owe like one year of operating income,

96:27

right? But now the stock is down 50%.

96:31

Think about that. It's like, okay, let's

96:33

say that they did lose a year of

96:34

operating income. What is that really

96:36

even going to cost? This is like maybe

96:38

the stock should be down 10 or 15%. But

96:41

these things will be down like 30 or

96:42

50%. And in that instance, that's a good

96:45

reason to quit a short. It has nothing

96:47

to do even with like whether you won or

96:50

lost. It just has to do with like the

96:51

facts

96:53

um

96:55

the facts didn't match the extreme move

96:58

sort of thing. That's a good reason to

97:00

quit. Another good reason to quit is

97:02

just the fundamentals are turning. Like

97:04

this company that had been losing money

97:07

or like your whole thesis is well

97:09

revenue should be going down and it just

97:10

stops going down for a few quarters when

97:12

you weren't expecting it. But especially

97:14

if the stock is now dropped with the

97:16

factor that had been weak, but this one

97:18

is sort of earnings-wise being an

97:20

outlier. In that case, sometimes you

97:23

spend some time and you're trying to

97:25

figure out well why. Sometimes, for

97:27

example, they're like pushing a one-time

97:29

price increase.

97:31

Uh, and that's actually really bad for

97:33

the product long term or whatever. Or

97:35

sometimes they're pushing a one-time uh

97:37

quality decrease. That's a really that's

97:40

a the worst thing a company can do,

97:42

right? Is now they've just basically

97:43

given their customer base the middle

97:45

finger. And sure, they they shafted them

97:47

once by saving cost. Um, but if you

97:52

figure out that's the reason why, let's

97:53

say that the stock even went up a little

97:56

bit on that supposed good earnings, then

97:58

that's a spot to even add to the short,

98:00

not take it away. So, you just really

98:02

have to focus on what the facts are,

98:07

you know, and and really not try to tie

98:09

it into what you what price you

98:12

initially entered into or whatever that

98:14

because that doesn't matter at all.

98:17

>> Yeah. And uh I it's it's mentally really

98:21

challenging to be a short seller. Uh I

98:24

mean really complicated. You need to be

98:27

patient when the market is going up like

98:29

crazy.

98:31

uh I mean let's look just uh I mean for

98:35

the last quarter where I mean last

98:37

quarter as we said earlier was just

98:40

complicated uh for for short sellers and

98:43

uh I would like to ask you uh what's the

98:46

belief you completely changed in the

98:48

last five years

98:52

and uh I mean you you said that you

98:55

thought that you are that you were lucky

98:58

and then you realized that you actually

98:59

had had a match and through that process

99:02

was something that you are like thinking

99:04

about the market that you realize it's

99:07

not as you saw before

99:13

>> um

99:15

in five years I mean

99:17

>> or three or something that you

99:22

Yeah I'm trying to think um

99:29

I'm starting to think that what I do

99:31

will scale better than I expected maybe.

99:34

But I'm still trying to stay very uh

99:37

humble on that, especially because I can

99:39

give you specific examples

99:41

all the time where I think it's costing

99:43

me money. But what maybe what I'm

99:45

underestimating is that the ideas I can

99:47

substitute with are good enough. It

99:51

basically doesn't move the needle.

99:52

Especially because now I always think in

99:54

terms of like a sharp ratio.

99:57

um

100:00

you know that kind of thing. So

100:04

um

100:06

yeah, maybe just cuz I can't get that as

100:08

big of a score on the bankruptcy short

100:10

as before cuz you know you could make a

100:12

percent or two in a flash there before

100:14

and you you can't do that anymore.

100:17

But maybe in terms of risk versus

100:19

reward, it wasn't even that good to be

100:22

doing that in the first place. And maybe

100:24

these, you know, winning a point 4%

100:26

instead is uh

100:31

is just completely great just in a

100:33

different way because it almost becomes

100:34

it's not a free lunch, but you know,

100:36

it's there's not real risk there at that

100:38

size anymore.

100:40

Not not really. You could lose a few

100:42

percent maybe in a really horrific

100:44

outcome, but that's not that bad. Versus

100:46

before it's like you could lose 15% if

100:48

something truly horrible happened there.

100:51

Um, and you stayed wrong.

100:55

Versus now today, of course, you can't

100:57

bet that big even because you'd be

100:59

forced to stay wrong, right? Because now

101:02

the liquidity is too small. Now you just

101:04

sort of watch it go against you and you

101:06

just hope it would stop going up. That's

101:08

why you can't uh bet bigger. Um,

101:13

but in the past it would be the case in

101:15

the middle of the move I'd be risk

101:16

managing and you'd be sitting there

101:18

eating this huge loss that was

101:20

riskmanaged but you know those losses

101:22

really uh screw you up and it's usually

101:24

at the exact wrong time and things and

101:26

you know you have to rebalance the

101:28

portfolio a bit there and I don't have

101:29

to do that at all anymore. So maybe

101:32

maybe this will scale somewhat better

101:33

than I thought. I I don't think I still

101:35

don't believe in this idea. You can run

101:37

like 500 million though and just it

101:39

won't affect your performance that much.

101:41

I I think I'm still pretty sure, but now

101:44

uh at first I thought, you know, maybe

101:46

at 30 or 50 million that would start

101:48

eating into my edge a lot. And maybe in

101:51

terms of the raw irr,

101:56

but in terms of the risk versus reward,

101:59

maybe it's not nearly what I expected.

102:03

Um,

102:05

but yeah, I'm not gonna I sort of like

102:07

the idea even if I'm wrong about the

102:10

scale thing where like let's say it does

102:12

scale somehow pretty damn well at 500

102:14

million still, I'll still be glad I did

102:16

it this way because ultimately it'll

102:17

compound that many more years, right?

102:19

Because for sure at some point everyone

102:21

will agree that scale gets you at a

102:23

billion or two or whatever the number is

102:25

and it it will always catch up to you.

102:27

So if I can delay that for another few

102:29

years, five years or whatever, that's

102:31

great, too.

102:32

And uh what would you say are the

102:34

biggest lies of Wall Street?

102:38

Uh and uh I mean some kind of a lie is

102:42

that those guys that did well before are

102:46

still relevant. I maybe it's not a lie

102:49

per se, but some kind of like a

102:51

marketing trick. As you said, David

102:53

Einhorn, I saw his it ETF or whatever it

102:57

is. I mean its performance is

102:59

horrendous. It's a good chart.

103:02

for example. Yeah. And I mean a lot of

103:05

those guys uh Michael Bur and that's

103:09

only like value. I mean he closed his

103:13

fund like a few a week ago. uh I mean a

103:17

lot of them are like not really good in

103:19

not really relevant let's say right now

103:22

but they do uh have an impact on the on

103:27

the markets and uh you you you were

103:29

really critical of of that stuff and uh

103:33

what would you say are like the biggest

103:35

lies right now that they push on retail

103:38

on regular investors?

103:42

>> Yeah, in that case I don't know if it's

103:43

a lie. Yeah, it's um they're

103:47

because the same thing happened in

103:49

poker. You sort of have these uh poker

103:51

celebrities

103:54

um

103:56

and they were pretty much all bad. Like

103:58

Phil Ivy was actually pretty good.

104:01

>> He was actually a good player,

104:03

>> but basically the rest of them were bad.

104:05

Like all of them were bad.

104:07

>> Daniel as well,

104:10

>> he's actually pretty good too, but

104:12

sorry. So him that that good good

104:15

exception there, but like Phil Helmuth,

104:16

guys like that.

104:17

>> Yeah, he's terrible.

104:18

>> Letterer, these guys are awful at poker,

104:20

man.

104:21

>> Yeah.

104:23

>> Um

104:25

and the thing is even Phil Ivy and

104:27

Daniel Negrronu, they're not as good as

104:29

the top internet guys. They're not like

104:32

sitting there playing anyone in the

104:33

world just crushing everybody or

104:35

anything. They're still picking their

104:37

spots and which is smart. I'm not

104:38

berating them for playing poker that

104:40

way. But the actual best guys in poker,

104:43

they didn't get much attention at all.

104:45

And the life cycle of poker pros is too

104:48

short. So they in most instances never

104:51

got the recognition.

104:53

Um in investing eventually, you know,

104:56

you do for sure if you just keep putting

104:58

up huge numbers year after year. It

105:01

doesn't matter how disliked you are or

105:03

anything, but it's gonna take a long

105:05

time uh for someone like me because I'm

105:08

gonna

105:10

I'm like an extreme outsider and I don't

105:12

do things that make people want to, you

105:15

know, do me favors and things because

105:17

I'm basically very critical and be

105:19

honest with with what this actually is.

105:22

Um but yeah, as far as the actual like

105:25

lies of investing, it's these

105:26

professional marketing people. It's it's

105:29

almost all of them. It's like almost all

105:30

the people in this industry are

105:32

pretending like they have some valuable

105:34

insight, they do good research, they

105:37

have an edge in their market, whatever,

105:40

right? And then they try to wrap it in

105:43

something where they're getting paid for

105:45

it, you know? So, I'm like, "Oh, we've

105:46

got these this quantity sort of thing.

105:49

We'll send you signals or we'll write

105:52

these articles or you have my Substack

105:54

or

105:56

um buy my crappy ETF." You know, I

105:58

pointed out that I don't even know how

105:59

to say his name, Warren Pies or

106:01

whatever. That guy, his ETF is horrible.

106:03

And like I knew that was bad because

106:06

>> um

106:06

>> I couldn't believe it. Even Even Catrini

106:08

index, it's horrible. I mean,

106:11

>> yeah, that guy's a he's a very he's just

106:14

a marketing guy. Um

106:16

>> just a marketing guy. Yeah, he had one

106:18

good call on Silicon Valley Bank and I

106:21

mean that made him famous if I mean not

106:23

and it was really not a really

106:25

complicated call if you are into the

106:27

into the industry.

106:28

>> It wasn't even his call too like other

106:31

people were writing about it and he

106:32

probably I don't I don't want to say he

106:34

plagiarized it because I don't know the

106:36

timing and everything but I think he

106:37

probably just copied someone else's good

106:39

idea there. Um,

106:43

you know,

106:45

so I I find the whole thing really

106:48

distasteful or I sort of ripped on that

106:50

guy yesterday, I think, and I said like

106:53

this guy saying how track records don't

106:55

mean anything.

106:56

>> Yeah, that old guy. Yeah. Two gray

106:58

beards

107:00

>> and something like that, man.

107:02

>> Yeah. But but it's weird because he he

107:04

wrote that and if the conclusion was

107:06

track records don't mean anything thus

107:09

you should just buy a broad basket of

107:11

stocks and you know just sort of play

107:13

the market as a passive investment.

107:15

>> Yeah,

107:16

>> I'd respect that view. I'd be like, "Oh,

107:17

okay." You know, he maybe he doesn't

107:19

know how to evaluate or whatever, and

107:21

fair enough, most people claiming to be

107:23

good aren't good and everything, but if

107:25

your conclusion is

107:28

and thus you should buy my product, it's

107:30

like,

107:30

>> yeah,

107:30

>> dude, what what what are you talking

107:32

about here? And it's just

107:33

>> listen to my podcast and you know,

107:36

>> it's just like, dude, you were so

107:38

dishonest.

107:39

>> Yeah.

107:40

>> And I I posted somewhere too. said like

107:42

these kinds of people aren't even

107:44

exactly

107:46

in some cases it's just mercenary like

107:49

they want to scam people out of their

107:50

money very like it's malicious but I

107:53

think that's probably not even the case

107:55

most of the time a lot of the time it's

107:57

just

107:58

>> people protecting their ego so in in

108:01

that case recently I I think that guy

108:03

twisted things up in his mind enough

108:06

>> and he only did it to say to himself

108:08

just because your track record's bad

108:11

doesn't mean that you're bad. And then I

108:14

think the people

108:16

reading him who who you know, they don't

108:19

want to blame their bad results either.

108:21

>> Yeah.

108:21

>> So, it's sort of like if you invert what

108:23

he's saying, it's like he's just telling

108:25

them what they want to hear.

108:26

>> Yeah.

108:27

>> You're not bad at investing just because

108:29

your track record sucks.

108:32

>> Like, okay.

108:34

the the the funniest thing ever is when

108:36

a guy is like uh okay now I invest in

108:40

business I'm a long-term investor and uh

108:44

you know

108:46

not because he's buying some like

108:48

garbage companies but because he's

108:51

relying heavily on a value factor for

108:53

example and he's underperforming

108:55

five times I mean and he's like I'm I

108:59

invest in businesses I'm not a gambler.

109:02

Yeah,

109:03

>> it's like okay man

109:05

>> a lot of that and

109:07

I mean I even went through some like um

109:10

ETFs of um

109:13

quant

109:15

let's say pod shops and uh popular

109:20

uh popular pot shops and uh investors

109:23

and I mean pretty much most of them are

109:27

really bad like really really really

109:29

bad. Yep. The special quant strategies

109:33

and uh I mean you and as you said quant

109:36

ratings I mean it's all I mean uh

109:40

valuation is so relative that it's like

109:45

really complicated. It valuation

109:48

basically comes down to each company

109:50

differently. I mean and then you are

109:51

like going to find something. what

109:53

you're going to do, you're going to bet

109:54

on momentum factor like pretty much all

109:57

the technical analysts

109:59

and or or a lot of quant funds and the

110:02

CTAs and stuff like that. I mean

110:05

>> Mhm. Yeah. One one interesting thing,

110:08

I'm not even going to name the the guy

110:09

doing it, but it's interesting. His um

110:13

fund, he kind of markets it as like a

110:16

long short fund that's doing um

110:19

quantitative fundamental screening or

110:23

whatever to pick its longs and shorts

110:24

and it's long and short, hundreds of

110:26

things. It actually performs really

110:27

well. So, um,

110:31

early on it didn't do as well, but for

110:33

the last, forget five or something

110:35

years, it's done really well. But it's

110:37

interesting because he doesn't actually

110:39

say

110:42

like basically they changed one major

110:45

thing there. So, all they do now really,

110:48

all this really is it's wrapped up in

110:50

this kind of fundamental thing. And he's

110:52

actually said that they do this now, but

110:53

he says it as a secondary. But really,

110:56

this is primarily what the fund does

110:58

now. All it does is trend following on

111:01

factors,

111:02

factor pairs, and it works. It's

111:05

actually a pretty good strategy.

111:08

But I guess if you just said the

111:09

strategy that simply like, ah, we're

111:11

like long whatever these types of

111:14

companies and short those types of

111:15

companies because those ones are going

111:17

up and those ones are going down and

111:18

we're doing this for like a bunch of

111:20

different factors at the same time.

111:24

You know, it's like uh like a the

111:26

obvious example would be say, okay,

111:29

well, we're just long S&P 500 versus

111:31

short the Russell 2000 sort of thing.

111:34

>> That's just a trade that works. And so,

111:36

if you mix in like 20 things like that

111:39

>> and you wrap it up in this other story,

111:41

then that's actually a pretty good

111:42

product. The thing is about that kind of

111:45

a strategy though is it's not terribly

111:47

complex and uh eventually it's going to

111:49

become crowded and there's not really

111:51

some rocket science going on there. So,

111:56

and uh one more question uh I mean you

111:59

said that first uh first one a quick one

112:03

quick uh uh

112:06

you use AI in research. You said that

112:08

you use uh Jed GPT's deep research. Do

112:12

you use anything else? Right now,

112:14

>> I still just use chat GPT. I have um a

112:18

network of people who I trust a lot and

112:21

they're comparing some other AIS. Uh

112:24

Gemini recently has gotten kind of

112:26

close.

112:27

>> Yeah,

112:28

>> but it seems like it's still slightly

112:30

worse.

112:32

Um

112:34

I might get Gemini anyway for if it's a

112:37

close spot to get a second opinion. sort

112:40

of see it that way maybe is useful, but

112:43

for now I just think use the best one

112:45

and

112:46

you know I basically have people trying

112:49

to stay on top of if uh anyone else is

112:52

going to be as good.

112:54

So

112:56

I think there's a good chance Gemini

112:58

will be best in six or 12 months.

113:02

I mean I I I do agree with you. And uh

113:05

last question uh you said that you work

113:08

a lot. I mean, you work basically all

113:11

the time. Uh,

113:14

when do you sleep? Do you do you go to

113:16

sleep uh every time the same?

113:19

>> Yeah, I get I get um pretty regular

113:21

sleep schedule nowadays. I don't really

113:24

even stay up for the US stock market

113:26

hours much um unless something's going

113:29

on or if like my body is telling me,

113:31

hey, you should probably stay up. But

113:33

otherwise, I'm just not um I try to some

113:38

mornings I'll wake up before the market

113:39

closes now because the the market closes

113:42

at 6:00 a.m. here. So, that's kind of

113:44

nice because you can trade the really

113:46

liquid uh you know, last 30 minutes

113:48

there. But, yeah, I have a pretty

113:50

consistent sleep schedule. I'm getting,

113:52

you know, about eight hours of sleep

113:54

every night. That's pretty important. I

113:57

think that's just good for performance.

114:00

Uh, and uh, do you do you train your

114:03

body? Do you do some kind of training?

114:05

Do you use some kind of supplements?

114:07

>> I use uh, I started lifting weights

114:09

again and uh, I've been on testosterone

114:11

replacement therapy for a long time.

114:14

Um, I don't use any other supplements or

114:16

anything. I don't think they really I've

114:18

studied that years ago and I don't think

114:19

they help at all

114:21

>> really.

114:22

I recently started using like vitamin D,

114:26

B, omega-3. Yeah, I went down the same

114:30

rabbit hole and I was on those for

114:32

years, too.

114:34

I think vitamin D is maybe the best of

114:37

the bunch because there's no possible

114:39

downside.

114:41

Um, and it's so cheap. And then

114:44

omega-3s, I think it's just way

114:46

healthier to get it from like real food.

114:49

>> Yeah, but you need to eat a lot.

114:52

>> In Japan, it's so easy.

114:54

>> Yeah, in Japan it's easy, man. But but

114:56

but the thing is if you just you just

114:58

buy salmon and eat salmon two or three

115:00

times a week just as like a salmon steak

115:03

and I don't know where you live but in

115:05

America it's so easy to get them now.

115:07

>> It is like here as well. Yeah.

115:10

>> Yeah. So just do that and if you cook

115:11

that like three days a week that's a ton

115:14

of omega-3s. And I'm pretty sure that

115:16

eating it in terms of real food is way

115:17

healthier um than the supplements.

115:21

Um, B I don't think matters really

115:23

unless you're like not eating enough

115:25

meat generally.

115:27

Um, and then maybe you went down the

115:29

magnesium or zinc rabbit holes.

115:31

>> Yeah. So, I don't think I don't think it

115:34

matters. This is just uh if there is a

115:36

gain that's super marginal, but

115:40

I think it's just good to eat like whole

115:42

foods that are healthy. You know, you

115:43

want to eat like lots of uh lettucees,

115:46

lots of things like that. um that that I

115:50

I healthy so potatoes are good you know

115:55

>> I'm I'm asking you this because I I

115:57

recently

115:59

um had a conversation with Chad GPT and

116:02

I was like okay uh I want to get in 10

116:05

years to be top 1% hedge fun managers in

116:08

the world be completely honest and tell

116:10

me what I need to do and I told him

116:13

everything my my whole life my trades

116:16

everything everything And he was like,

116:18

"First of all, you need to sleep." That

116:21

was like the first thing. I mean, uh

116:23

because uh I don't get regular sleep.

116:26

Sometimes I go to sleep at 4:00 or 5

116:28

a.m. Sometimes it's uh sometimes I don't

116:31

sleep at all. So uh I mean it's ongoing

116:36

for a long time. I know it's a terrible

116:38

thing and uh that's why I wanted to ask

116:41

you that I

116:43

>> you need to be on a fixed schedule. It

116:45

doesn't have to be the same all the

116:46

time. This matters a lot. So, these

116:48

supplements are kind of BS, but it's

116:50

very clear in the research. What you

116:52

want to do is like go to sleep and wake

116:54

up at basically the same time every day.

116:58

Um, and you can decide. It doesn't have

117:00

to mean you wake up every day at uh

117:03

sunrise or whatever. It doesn't have to

117:04

be that, but you have you got to be

117:06

consistent because your body needs to be

117:08

on a clock. Um, that's that's really

117:11

clear in the research that I read.

117:16

David, man, thank you very much. I

117:18

really enjoyed this conversation. It's

117:20

like more than two hours. I could talk

117:22

to you more two hours more easily. I

117:26

mean, we went from uh markets to

117:29

geopolitics to in some kind philosophy

117:33

to and now we we are ending it with

117:37

health and nutrition. So,

117:40

>> supplements,

117:41

>> supplements. Yeah, supplements. Uh,

117:44

thank you very much.

117:45

>> I I hope

117:46

>> Thanks for having me, man.

117:47

>> And I hope to have you uh again uh I

117:50

mean uh I mean you are uh the guy that

117:54

that's like here first guy to be here

117:57

for the third time. So and I hope

118:00

there's going to be fourth and fifth and

118:02

we are even considering

118:04

>> uh opening a channel that's going to be

118:07

only for on English. And uh I do think

118:10

that there's a problem when it comes to

118:12

pinweit and when I mean financial

118:15

community in general that people are not

118:18

uh completely honest and they are not

118:22

inviting people that are for example my

118:25

idea is I invite guys that actually

118:29

practice what they preach. For example

118:31

the things we we spoke um about um like

118:35

10 20 minutes ago. again. Uh, thank you

118:38

very much, man. And I hope to have you

118:41

again.

118:42

>> Yeah, happy to be on again. So,

118:44

>> and uh, thank you guys for following and

118:47

listening to us. See you on the stock

118:49

market.

Interactive Summary

In this interview, hedge fund manager David Or discusses his remarkable performance, which has surpassed early Buffett partnership returns, and shares his approach to managing over $200 million. He highlights the challenges of scaling, specifically regarding liquidity and bet sizing in micro-caps. David explains his research methodology—reviewing thousands of stocks for a minute or two each to identify patterns—and provides detailed critiques of the 'quality' factor, marketing-heavy fund managers, and specific companies like Starbucks and Rheinmetall. He also delves into geopolitics, discussing the potential for a peace deal in Ukraine, the strategic technological advantages preventing a Taiwan invasion, and the persistence of the 'yen carry trade' in Japan.

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