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My Best and Worst Stocks of 2024 Part 1 of 2

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My Best and Worst Stocks of 2024 Part 1 of 2

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501 segments

0:00

all right so as 2024 draws to a close I

0:03

thought it'd be useful to share with you

0:04

in my portfolio what are the best stocks

0:07

that contributed the gains in my

0:08

portfolio and what are the worst

0:11

performing stocks that drag down my

0:12

gains this year and more importantly

0:15

what do I do with the uh best performing

0:17

stocks do I sell them to take profit do

0:19

I hold them and what do I do with the

0:21

worst performing stocks do I cut loss

0:23

and get out or do I buy more well let's

0:25

find out in this video

0:28

[Music]

0:37

all right so we' have got I think less

0:39

than three trading days left to the year

0:41

and I think for most of you who have

0:42

been invested in the US market you

0:44

should be seeing you know pretty good

0:46

gains In This Very bullish year

0:47

personally for me I've got several

0:49

portfolios and this is the main

0:50

portfolio that my uip subscribers my

0:53

students they look at is the one that I

0:55

show them every month of performance so

0:57

here to dat you can see that the per the

0:59

port folio is up

1:07

28.425o date 26.6 3% in terms of the

1:11

value of the performance for this

1:12

portfolio is up 1 Point uh close to 1.3

1:16

million us of gains for the year but

1:19

again remember that you know when you

1:20

look at someone who's able to grow their

1:23

portfolio not just me but you know many

1:25

other investors out there you know not

1:27

every stock goes up that year not every

1:30

stock performs uh that year all right so

1:33

in a portfolio you've got stocks that

1:34

perform and stocks that underperform so

1:37

I like to run through VI what are the

1:38

stocks that you know perform the best

1:40

for me this year and the ones that have

1:42

underperformed this year and uh let me

1:46

show you uh from this uh newsletter this

1:48

is a newsletter that I send to all my

1:50

students every month it's a monthly

1:53

investment newsletter so this the latest

1:55

December issue and I actually wrote

1:57

about it so let me talk a bit about it

1:58

so let me scroll down over here

2:00

and let me get to that section ah there

2:02

we are okay so so far uh year to date

2:06

and again there three days left my best

2:09

performing stocks for this year and

2:11

again some of them I bought quite a few

2:14

years ago all right so they have been

2:15

performing quite well but this year

2:17

palente here has been my best performer

2:20

it's up

2:22

36% uh that's uh in the first place uh

2:25

number two Nvidia in second place up

2:27

179% in third place meta platforms up

2:30

73% uh next 4et up 65% service now up

2:34

59% broadcom up 52% booking up 49%

2:38

Amazon up 43% and Salesforce up

2:42

39% uh so yeah this is my interactive

2:45

brokers platform you can see all the

2:47

stocks over there right and again some

2:49

of them like paler I didn't buy it this

2:51

year I bought it some time ago so my

2:53

average price for paler is about you

2:56

know $11 so right now at $83 it's up uh

3:00

almost eight times all right and like

3:03

again Nvidia as you guys have been

3:04

following me I bought it back in

3:07

2022 uh November and I bought Nvidia

3:09

initially at $15 this is the post spit

3:12

price I bought it $15 and then I did the

3:15

stupid thing of selling it at um

3:19

$48 yeah I sold it at $48 I was a bloody

3:22

idiot right and then I bought it back at

3:24

about

3:25

$550 if I'm not wrong 530 540 and now

3:29

it's $140 okay so you can see that my

3:32

average

3:33

price uh and I bought more along the way

3:35

my average price is $60 and so that is

3:38

like double but in actual fact I started

3:41

buying at $15 if I was not an idiot to

3:43

sell and buy it back I'm sure many of

3:45

you have done that idiotic thing as well

3:47

like me you know you know meta platforms

3:49

uh uh again uh I also bought a lot and

3:53

as you guys know I was stupid to sell

3:54

covered calls on half my position so

3:57

half got called away and uh if not for

4:00

that would have made a lot more money

4:01

right so these are the best performing

4:03

stocks in the portfolio so at the end of

4:05

every year I like to look at my best

4:06

performing stocks and to ask the

4:08

question what made them the best

4:10

performing stocks and so if you take a

4:12

look at you know these stocks I just

4:14

showed you what do you think they all

4:15

have in common take a closer look right

4:17

that's right they all are AI related

4:21

stocks which makes sense because we are

4:23

at the beginning of the AI Revolution

4:27

all right so pretty simple why they with

4:29

the best performing stocks now the next

4:31

question that then I would ask myself

4:33

would be okay so they've done very well

4:35

for the portfolio like pent here it's up

4:37

like almost eight times and Nvidia from

4:39

the time I bought it $15 is up again

4:42

about nine times right is it time to

4:44

take profit or should I hold and in fact

4:47

buy more now again bear in mind that I'm

4:50

talking uh from the perspective of an

4:52

investor and not a Trader Trader very

4:55

simple hit the profit Target we get out

4:57

hit the stop loss we get out but for

4:58

investor the whole idea is to let the

5:01

gains compound and compound and compound

5:03

over time so from investment perspective

5:05

the question I ask myself is this does

5:08

is this company still growing is it

5:11

still a great company does it still have

5:13

a strong economic mode and does it still

5:14

have a long Runway ahead and if the

5:17

answer is yes I don't sell I hold and in

5:21

fact I will buy even

5:23

more next year if the price

5:27

retraces near or below the intrinsic

5:30

value one of my students just posted uh

5:32

my pener position just hit 1,000% gain I

5:36

think she bought it about $8 and so

5:37

she's up like 10x and what you realize

5:40

is that many people they always dream

5:42

that I want to buy a stock that goes up

5:44

10x or 20x or or or 5x right and the

5:49

reason why many people can't achieve

5:51

that is not because they pick the wrong

5:54

stock it's not because they don't pick

5:55

the right stock but because for many

5:58

people they they have this overwhelming

6:01

temptation to take profit way before it

6:04

reaches 10x now ask yourself this

6:06

question you know most people they buy a

6:08

stock at $50 and if goes up 50% to $75

6:13

they say oh I'm going to get out before

6:14

I lose everything right or if it goes up

6:15

to 100% right from the $50 stock goes at

6:18

$100 they say 100% up they they take

6:20

profit so think about it if you want to

6:22

get that 10x stock like like banteer

6:25

that means you must resist you must

6:26

resist selling it when it's up 20% up

6:30

50% up 100% up 200% up 300% up 500% up

6:33

700% up 800% you're going to resist

6:35

selling which for most people is so

6:37

difficult because they think if I if I

6:39

don't sell it what if I lose everything

6:41

okay but that's the secret to

6:43

compounding your wealth you have to

6:44

resist selling as long as it's a again

6:47

it's a great company it's got a long

6:50

Runway and you know it's it's growing it

6:53

makes sense to keep holding a great

6:55

company but then some of you may say but

6:57

Adam isn't palen like way overvalued

6:59

right now you know I heard that one of

7:01

your rules is that even as a great

7:03

company if it's way overvalued you

7:04

should sell uh if it's way overvalued

7:07

you're right you know you're right okay

7:10

in fact let me give you some uh some

7:11

more information about that so I if you

7:14

look at palente yes it is very

7:17

overvalued currently based on its

7:19

current earnings and cash flow in fact

7:22

my latest intrinsic value for palen here

7:25

is about

7:26

$28 that's my intrinsic value and right

7:29

now is at freaking $84 right so it's

7:32

like way above the intrinsic value so

7:34

people say then Adam why aren't you

7:36

selling okay well let me explain myself

7:39

to you okay um now again like I said

7:42

shortterm is way overvalued and I won't

7:45

be surprised let me put this way I won't

7:46

be surprised if palente drops 50% or

7:49

even s i I'm not surprised but then

7:51

where why am I not selling because you

7:54

know palent is one of those companies

7:56

where after I really studied the

7:58

business in depth

8:00

I realized that there's no company quite

8:03

like it okay and I'm looking at where

8:06

palente here will be 10 years from now I

8:08

don't care where it'll be one year two

8:10

years three years from now if it drops

8:11

50% I don't care I'm see where it's

8:13

going to be 10 years from now and if you

8:15

understand what paler really does paler

8:18

basically offers an integrated ecosystem

8:21

and operating system for the AI world

8:26

right so to me you know palena could be

8:28

the next Apple of the mobile Revolution

8:31

the next Microsoft of the of the of the

8:35

OS Revolution right where AI agents data

8:40

and uh uh Global Information is built on

8:43

palenia platform on Enterprises all

8:46

around the world I'm not saying

8:48

guaranteed it's going to happen but it

8:49

could happen Okay so in other words if

8:52

you look at palent here right now

8:53

palen's market cap is about $190 billion

8:57

okay and if you look at Salesforce now

9:00

Salesforce is kind of like the leader in

9:02

customer relationship software and

9:04

Salesforce market cap is like 300

9:07

billion now could paler reach the market

9:09

cap of Salesforce eventually to be again

9:13

the the AI

9:16

leader like Salesforce is a CRM leader I

9:19

believe so which means that paler could

9:21

still increase 50% from here to

9:24

Salesforce market cap now Microsoft's

9:27

market cap is uh three trillion okay so

9:31

if palenia were to be the next Microsoft

9:34

of the AI world that could be another

9:36

10x now again we don't know if it's

9:38

going to happen right it could happen it

9:39

may not happen but I think it is a

9:42

possibility okay now having said that

9:46

let me let me put it this way right by

9:47

the way um I bought a lot of palant here

9:51

at about

9:52

$111 and I already actually sold half my

9:55

palent here okay I sold half of it at

9:58

about uh I think I sold it at about uh I

10:02

think $30 $40 yeah I I feel like

10:04

slapping myself now that I'm telling you

10:06

that right so I already s half my palen

10:08

so in other words my my position in

10:10

palen right now I've already made back

10:12

my cost so what you see in my portfolio

10:15

which is the paler is pure 100% profit

10:19

with zero risk so even if paler goes to

10:23

zero okay goes to zero and I lose

10:27

194,000 it's fine okay because I already

10:30

made back my profit by selling half of

10:32

my palena so what I have in palena right

10:34

now is the other half okay so I think

10:37

the question of whether you know if you

10:39

believe in a company should you sell or

10:41

not sell depends on your position you

10:43

know I one of my students who said to me

10:46

recently uh he said Adam right now I

10:48

only have one stock in my portfolio and

10:51

he said I put everything all into

10:53

palente and he bought it at like $10

10:55

right so 100% of his portfolio is in

10:57

palena and he said at watch I do and I

11:00

said well I can't give you a

11:01

recommendation or advice I'm not a

11:02

licensed adviser but I said to him I

11:04

said if I were you and I had 100% of my

11:08

portfolio in bent year I would sell

11:11

right now okay I would sell right now

11:13

I'll probably sell maybe 80% of my my

11:16

paler position I'll keep 20% I'll sell

11:18

80% and the other 80% I'll diversify

11:22

into the other great companies whether

11:24

Nvidia or meta or Google or or or or

11:28

broadcom and so and so for right you get

11:30

the point so whether one should sell or

11:32

not sell depends on their current

11:34

allocation but because for me palent

11:37

here is only 4% of my portfolio it

11:41

should be 8% stupid Adam stupid Adam for

11:43

selling but never mind but because it's

11:45

only 4% which is you know just not a

11:48

very big position okay it's okay for me

11:51

not not to sell I'm just going to hold

11:52

it all right then some people would say

11:55

but Adam you know why don't you do this

11:57

let me take out my drawing tool over

11:58

here they say Adam why don't you know

12:01

like palen is like up down up now it's

12:03

like all the way up right they say Adam

12:04

why don't you sell palenia right now

12:06

it's overpriced sell it okay and then

12:09

when it drops back down which it will

12:11

eventually right what goes up must come

12:13

down it's under value gain you buy it

12:15

back right plenty smart right and then

12:18

you write it up again right now why

12:20

don't I do this now of course it sounds

12:22

great in theory you know who doesn't

12:24

want to do this right but you know

12:26

something I used to do this before I

12:29

used to this many many times and by you

12:32

know you know trying to jump out when

12:34

it's too high and jump back in there

12:35

were many great stocks that I couldn't

12:38

get back in that to get back in I to pay

12:40

a much higher price and um and I'm going

12:43

to give you an example what happens

12:45

maybe not to you but it's happened to me

12:47

many many times right where the stock

12:50

goes up it comes down it goes up it

12:52

comes down it goes up and I say to

12:54

myself okay you know I'm going to take

12:56

profit here I buy back when it's lower

12:58

so what do I do

12:59

you know I sell it right there okay and

13:02

after I sell it the bastard keeps going

13:04

up right keeps going go oh okay and

13:08

then I tell myself okay I'll buy back

13:11

when it retrace the snakes and it keeps

13:13

going up and then when it does retrace

13:16

it retraces but not below the price I

13:19

got out yet so I'm not happy it's like I

13:21

got to buy it back at the price I sold

13:23

it right and then it's I'm waiting and

13:25

then it goes up and then I can never buy

13:28

it back and and I miss the big right

13:29

it's happened to be many many times I

13:31

don't know about you but it's happened

13:32

to you happened to be many many times

13:34

all right and I'll I'll share you one

13:36

stock I'll be I'll be using an example

13:38

in a short while another example that

13:40

has happened to me many many times is

13:42

the stock goes up comes down goes up

13:43

comes down goes up and I say to myself

13:46

okay I'm going to sell right buy it back

13:48

when it's lower so true enough I

13:51

sell and the moment I sell what happens

13:54

the price goes down and I go yeah I'm

13:56

good I'm so smart now

13:59

I got to buy it back but the question is

14:01

at what price do I buy it back right so

14:03

you say to yourself okay maybe you you

14:04

look at this trend line here wait for it

14:07

to hit the trend line you buy it back so

14:08

I'm waiting for it to hit the trend line

14:09

and suddenly it goes up and go but

14:12

never mind I can still buy it back below

14:15

where I sold it but then you say to

14:16

yourself but you know after a run up

14:18

usually there's a bit of a retracement

14:19

wait for the retracement Right

14:21

retracement comes you say but it keeps

14:23

it looks like it's going down going to

14:23

wait some more and the next thing you

14:25

know before you get a chance to buy it

14:27

in it shoots above your sell point and

14:31

again you don't feel like buying back

14:32

anymore and then it goes up and you are

14:34

gone I don't know about you but this has

14:36

happened to be many many many times in

14:39

the past and good example I can share

14:41

with you right here right now because I

14:43

did a screenshot of this is when I first

14:45

bought meta platforms before it was

14:48

known as

14:49

Facebook I bought it at $19 freaking

14:52

doll okay I bought it at

14:55

$19 and then when it went to uh $50 I

15:00

sold it and I thought I was a genius

15:03

whoa I made 100% of my money I'm so

15:04

smart no Adam you are freaking freaking

15:07

idiot okay CU after I sold at

15:11

$50 and I thought I'll buy back lower

15:14

again before I could buy it back it flew

15:16

and flew and flew and flew and never

15:18

never came back right and again by the

15:20

time I bought it back I bought it back

15:22

at a much higher price even when it

15:24

crashed all the way to $80 in 2022 and I

15:27

bought a lot there your way above what I

15:29

paid for it so because of this you know

15:32

I learned my lesson I realize that when

15:35

you identify a great business that

15:38

monopolizes a certain Niche whether is

15:39

it Nvidia or meta or Google or palena

15:43

that's kind of like having a great

15:46

product or service that monopolizes

15:48

Niche you want to hold on to it right

15:51

you want to hold on to it and let it

15:53

grow grow and compound and that is a

15:56

secret of being very very wealthy okay

15:58

so again

16:00

uh that's my basic lesson and the same

16:02

thing with Nvidia all right so again uh

16:05

my

16:06

Nvidia since I bought it at $15 it's up

16:08

like nine times and uh is am I selling

16:12

Nvidia no I'm not why because again I

16:15

think that

16:16

Nvidia again is a key player in the AI

16:18

Revolution on the hardware and the

16:20

software side and again we're just at

16:23

the early stages of the AI Revolution

16:25

now what do I mean by early stages I

16:27

talked about this during the black

16:28

Market event right that you know the AI

16:34

Revolution started on the 30th of

16:36

November 2022 so we are only two years

16:39

in this AI Revolution and just in two

16:41

years we started with generative AI

16:44

where it's like a chat box right you ask

16:46

a question it answers you text to text

16:48

generative Ai and then so fast we had

16:51

text to image where now you can create

16:53

images from prompts you can create

16:55

videos from prompts and then this year

16:57

is the year of AI agents where now they

17:00

are digital employees that can do an

17:02

entire task it's not just a chatbot you

17:05

have an AI agent that can create an

17:06

entire marketing campaign you have an AI

17:09

agent that can that can uh deal with a

17:12

customer just like a real life person so

17:14

I believe that in 2025 will be the year

17:17

where you know AI agents will go to the

17:20

next level and that's where paler would

17:22

be the you know kind of like the

17:24

operating system defecto platform for AI

17:26

agents in the future to uh match them

17:28

all together all right and then AI

17:30

autonomous robots are coming up so we're

17:32

just at the beginning yeah and again if

17:35

you compare this to the mobile

17:37

Revolution that started on the 9th of

17:40

January with the invention of the iPhone

17:43

and that mobile internet Revolution it

17:46

changed the world it changed our lives

17:48

and right now we are in the 17th year of

17:51

the mobile internet Revolution where

17:54

during this time apple is up

17:57

7,000 per that is

18:00

79 times your money 79 x your money it's

18:05

really really crazy right so again if

18:08

you take a look at the AI Revolution

18:10

which I believe will be even bigger than

18:12

the mobile internet Revolution where

18:14

only in year number two there's another

18:16

you know 10 15 years more to go and if

18:19

you think about it ever since the start

18:21

of this revolution palent here is up

18:23

again only nine times Nvidia is up like

18:26

only 10 times could it up another 50

18:30

times who knows right again as long as

18:33

it's a long Runway it's still growing

18:35

it's a great business out hold on to it

18:37

but again it depends on again your

18:39

allocation if I had 100% of my money in

18:43

in in again Nvidia yeah I would sell I

18:45

would sell to diversify so it's all

18:47

about allocation it's all about

18:49

allocation that's really very important

18:51

now uh talking about Nvidia my intrinsic

18:54

value for NVIDIA is

18:55

$130 so Nvidia is not that expensive

18:58

actually it is not cheap but it is not

19:01

crazy expensive it is slightly above the

19:03

intrinsic value of 130 and I did mention

19:06

in my previous video that I will be

19:08

hopefully want to adding more Nvidia

19:10

next year if it can retrace below 130 to

19:13

these support levels I like to add at

19:16

support levels in trenches and of course

19:17

the lower it goes the more happy I am

19:21

I've got a bigger margin of safety I buy

19:23

more the lower it goes and that's the

19:24

mindset of an investor all right now let

19:27

me talk about my work first performing

19:29

stocks of 2024 and what I intend to do

19:31

with them and I'll cover that in part

19:33

two of this video so stay tuned And

19:36

subscribe to be the first to be alerted

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20:08

online this is Adam coup and may the

20:09

markets be with you

Interactive Summary

As 2024 concludes, the speaker reviews their portfolio performance, highlighting the best-performing stocks, which are primarily AI-related companies like Palantir and Nvidia. The speaker discusses the philosophy of long-term investing, emphasizing the importance of holding onto great companies to achieve significant compound returns rather than attempting to time the market by selling high and buying back low. While acknowledging that some holdings like Palantir are currently overvalued, the speaker explains why they choose to hold based on the long-term potential of the AI revolution, while also stressing the critical role of portfolio allocation in risk management.

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