Why These 3 Stocks Beat Nvidia & AMD Right Now

Duration

25:52

Captions

1

Language

EN

Published

Sep 15, 2025

Description

👉Join the Live Training! 🎓Learn How to Invest at the Top of the Market: https://felixfriends.org/training 🚀 Get My All-in-one Superchart: https://felixfriends.org/tradevision 👤 Meet Felix Prehn: I'm your host, Felix Prehn. My journey took me from being a novice investor to an investment banker, a corporate lawyer, and an entrepreneur. Investing was my key to early retirement at 40. My goal? To empower YOU to navigate the financial market with ease and transparency, free from the conventional financial system's noise. Let's embark on this journey to financial freedom together! ⚖️This is from my lovely lawyers: The content in this video is for informational and educational purposes only. It does not constitute and should not be construed as financial or investment advice or an offer to purchase or sell securities. The content is not personalized or tailored to a specific person or group of persons, nor to their personal investment or financial needs. You should consult a financial adviser or other investment professional authorized to provide investment advice. Investing comes with risks, including the risk of loss. Presentations of trades made by Felix Prehn or Goat Academy Ltd or its personnel are not a guarantee that any investment decision made by a student will be successful. Past performance is not a guarantee of future performance. Some of the accounts we highlight from time to time are our top performing accounts and the results shown are not typical. Trades shown may be from simulated trading or live trading accounts. *CFTC RULE 4.41 – HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN Timestamps: 00:00 Intro 02:06 Amkor Technology Inc 09:25 Kulicke & Soffa 13:09 Synaptics Inc 24:55 Outro #felixprehn #stockmarket

Captions (1)

00:00

miss this opportunity and you'll watch

00:01

others get rich while you sit on the

00:03

sidelines. That's what Winston just said

00:05

to me there. He's a bit harsh, isn't it?

00:07

So, what are you going to learn today?

00:08

Three companies that make the parts

00:11

everybody needs for AI and smart

00:13

devices. Why these stocks could double

00:16

or triple your money. And these are

00:19

companies with real advantages that

00:20

competitors can't easily copy. I also

00:23

give you the perfect timing. We're

00:25

catching this wave early. Now, why the

00:27

heck should you listen to me? Well, my

00:30

name is Felix Pin. I used to be a

00:34

one of those investment bankers, you

00:36

know, one of those frightful chaps. Um,

00:39

I also founded the Goat Academy, which

00:42

is our educational place, and we have

00:46

taught so far over 20,000

00:49

students. I focus on facts and data. I

00:52

focus on the rules that Wall Street

00:54

uses, and these three stocks just got

00:56

flat by the rules. Now, why are

01:00

semiconductors the thing right now? Is

01:02

it not a bit late? Shouldn't we just

01:03

hold on to Nvidia till death do us part?

01:06

Well, you can do, but I think you might

01:08

be disappointed because you miss out on

01:10

these ones. So, think of it like a gold

01:13

rush. What do you need in a gold rush?

01:16

Well, yes, gold, but you also need

01:19

shovels and picks. You get the idea. And

01:23

that's what semiconductors actually are.

01:26

So semis, as we're going to call them,

01:28

are those picks and shovels. AI is

01:31

creating massive, massive demand for

01:34

smarter, faster chips. But it isn't just

01:37

AI. It is also cars that are now

01:41

becoming computers.

01:44

And do you remember when your phone just

01:45

made phone calls? Well, cars used to

01:47

just drive people around. Now they're

01:49

becoming computers on wheels. They need

01:51

way more chips before. And in addition

01:53

to that, we've got the US government

01:57

backing the industry like never before.

01:59

So all the stars are aligning

02:03

for explosive growth. So let me walk you

02:06

through stock numero uno which is called

02:10

AM AMO. Ticker symbol is AMKR.

02:15

And if you're a little familiar with

02:18

the Wall Street rules on entry points

02:21

and exit points and all that good stuff,

02:23

then you look at this chart and you go,

02:24

"Okay, I know where Felix is looking at

02:26

this." But most people don't. Like, I

02:27

used to look at these charts and I used

02:28

to go squiggly lines. The price is going

02:31

up a little bit after it's gone down a

02:32

little bit. That was all I could see.

02:34

So, let me do one better for you than

02:36

this video. Yes, I'm going to walk you

02:37

through the three stocks here and why I

02:39

like them right now. But I'm going to

02:42

run a live educational session where

02:44

I'll teach you all the rules. And those

02:47

rules are what changed my life. And I

02:49

learned those rules from my Wall Street

02:50

mentors. And they basically tell you the

02:53

when to buy, the the what to buy, and

02:57

then most importantly, the second when.

02:59

What's the second when? It's when to

03:01

sell. Because when you sell, you make

03:04

money. Well, if you sell at the right

03:06

point, right? If you don't, you just go

03:08

through these up and down cycles, right?

03:10

and you just feel miserable because you

03:12

don't know which way it's going and you

03:13

you're up a lot and you're just asking

03:15

some guy on YouTube going, "Should I

03:16

hold on to this? Should I sell this?"

03:17

Right? And that's most of us. So, I'll

03:20

fix that for you. But if you look at the

03:21

stock chart according to Wall Street's

03:24

own rules, what do you see? Well, we've

03:26

got this lovely little

03:29

sideways consolidation thing here. Now,

03:31

it's broken out below its lows. Its lows

03:33

were down here, so it's recovered quite

03:35

nicely. It's taken out the yellow line,

03:37

50-day moving average. take another

03:39

purple line having a 50-day moving

03:40

average and that might all go like over

03:42

your head and that's completely fine,

03:43

right? Um rotation will help you, but

03:45

showing up to the live training will

03:47

help you like 10 times more. And so at

03:49

that point where we are right now, we're

03:51

just screaming breakout, breakout,

03:54

breakout, right? And that's exactly the

03:56

kind of point we want to get into. Now,

03:58

no stock will ever make you money unless

03:59

you got a good risk management. So

04:00

that's the that's the caveat for

04:02

everything here. So, don't just run out

04:03

and blindly buy something unless you

04:05

know where you're going to sell it

04:06

because, as I say, you're not going to

04:07

make any money. But let me run you

04:09

through a little bit about the stock.

04:12

What are these guys? Well, what do they

04:14

actually do? Okay, imagine a chip is

04:18

like a brain. I I really can't draw a

04:22

brain. Imagine this was a brain. Okay,

04:25

I'm going to write brain above it so

04:27

that it is it is more clear. That's what

04:28

a chip is. Now, every brain needs some

04:32

protective packaging so that it can

04:35

actually be used. Um, it is a gift

04:39

wrapper. Think of it that way, right? Do

04:41

you remember going into department

04:43

stores and they used to wrap things

04:44

beautifully? Do they still do that? So,

04:46

these guys take a raw chip and then they

04:50

package them so that they can actually

04:51

work in places where they get bounced

04:54

around a lot, so to speak. So, we're

04:55

thinking phones, we're thinking cars,

04:58

we're thinking, "Why is this large cat

05:00

on my mouse pad?" Um, any kind of AI

05:04

system, chips need to be wrapped. So,

05:08

every AI chip needs a special kind of a

05:10

packaging. There's just no way around

05:11

it. Now, sounds weird, right? I know a

05:14

little bit about the industry because I

05:15

actually have a company. We supply

05:18

chemicals to the semiconductor industry

05:21

and um you wouldn't know that they

05:23

needed all those chemicals but

05:24

apparently they do otherwise they can't

05:26

make a thing. So it's an interesting

05:27

business. Um now these guys in addition

05:31

to that make six billion a year which is

05:37

not bad. This isn't some teeny tiny

05:39

startup that no one's ever heard of.

05:42

They also have, and you might want to

05:45

write these down, 1.5 billion in cash.

05:49

And that's very important because it

05:51

means well, they also have very little

05:53

debt. So, it's a very solid business.

05:55

They grew at 14% last quarter, which is

06:00

pretty decent. So, they're making money.

06:02

They're not just hoping for it. This

06:03

isn't some company that has put AI in

06:04

the title and is hoping for something.

06:06

And what's the secret weapon here?

06:07

There's a secret that makes these guys

06:09

extraordinary. And the secret is not

06:12

what you would expect. It is 300

06:15

engineers because actually smart

06:18

engineers that are specialized in chip

06:21

packaging

06:23

are rare. So these guys are the biggest

06:26

player in car chips and cars need way

06:29

more chips now. Think of all those

06:30

cameras and all the lighter and all that

06:32

madness, right? They're building a new

06:34

factory in Arizona.

06:37

And guess who's helping? Uncle Sam, he's

06:40

paying for some of that. And they've got

06:43

long-term partnerships with the biggest

06:44

chip companies in the world. So, why

06:46

could they why why is the stock on our

06:48

our list? Well, let's summarize. The AI

06:51

boom means we need more chips. It's as

06:55

simple as that in everything. The car

06:57

industry is going to recover.

07:01

Why? Because interest rates are coming

07:03

down. What's the number one thing that

07:05

slows car sales down? It's interest

07:06

rates. Why? Because if you're American,

07:09

you generally don't buy the car. You you

07:10

lease it. So the cost of your car is

07:13

directly connected to interest rates.

07:16

And we have this is this is item number

07:18

one. This is two. We have three

07:21

government help. The US government

07:24

really wants the whole semiconductor

07:27

industry back in America. And these guys

07:29

do something that's very, very unique.

07:31

Advanced packaging. So they can charge

07:33

more for it. So, in my view, the stock

07:35

is actually cheap compared to how fast

07:36

they're growing. And if you zoom out a

07:38

little bit, well, you see the stock

07:39

hasn't really done anything since 2021,

07:42

right? Well, chip demand has gone

07:44

through the roof since 2021. So, this

07:46

doesn't make a lot of sense. But what we

07:48

really, really like is is this. Let me

07:49

just run you through the chart here.

07:50

Maybe I'll do this in for this one in

07:51

more detail, a little bit less deta for

07:52

the other ones. So, this was your bottom

07:54

right now. Nobody can ever ever guess

07:57

the bottom of a market. So, forget about

07:59

that. Just just forget about it. Where's

08:01

that line from? picky blue eyes, right?

08:04

Anybody get that reference? Put it in

08:05

the chat down below. And then you see

08:07

this yellow line here, let me just

08:09

delete the other yellow lines. That one

08:11

there, that is the 50-day moving average

08:12

line. That is the line of all lines.

08:15

That is the line that all other lines

08:16

are jealous of. And that's the one you

08:18

want to be watching out for because

08:19

that's the one line that Wall Street

08:20

looks at. And that's generally your sort

08:22

of trader entry. So, if you're really an

08:24

aggressive trader, you could have bought

08:26

somewhere down here.

08:29

But most people, and let me know in the

08:31

comments which one how you identify. Do

08:33

you identify as a trader or as an

08:35

investor. If you're an investor, you

08:37

generally want to be looking at this

08:38

line here. And that is your 150day

08:40

moving average line. That's your trader

08:43

line. Okay? You might want to write this

08:44

down. And we're now above that too,

08:47

right? And then as we're above it, you

08:50

might be like, "Oh my god, it's too

08:51

late. It's too late." No, no, no. Stocks

08:53

when they break through these lines,

08:55

they tend to consolidate. they tend to

08:57

do this sort of heartbeat pattern, you

08:59

know, and and and now what we're seeing

09:00

is that we're actually breaking out of

09:02

that pattern. So, we're above that now.

09:05

And that's a very very beautiful thing.

09:07

And that is actually in my book the

09:09

perfect entry point. Might seem a little

09:12

complex. Well, come to the come to the

09:14

training and I'll really walk you

09:15

through the rules. But yeah, that's why

09:17

we like AMKR, a stock that most people

09:19

probably haven't heard of. Was that

09:20

valuable? That was valuable. Put a put a

09:22

V or a valuable in the chat down below.

09:24

Now, stock numero du is K L I C. Another

09:29

one that probably nobody's heard of. And

09:30

again, it's a beautiful chart. Doesn't

09:33

look like a beautiful chart to most

09:34

people, but it's a beautiful beautiful

09:37

piece of chart. So, what are these guys?

09:39

And and and who are they? What do they

09:41

do? Why should we care? But let me walk

09:43

you through this. So, the ticker symbol

09:44

here is KLIC.

09:47

They are basically

09:49

the tool maker. Okay? Remember the

09:52

California Gold Rush? The people who got

09:54

rich, they sold, what do they sold?

09:56

Let's go back to that. They sold picks

09:58

and shovels. Artist at work here, right?

10:02

And what do they do? They make machines

10:09

that

10:11

package

10:14

chips, other people's chips. So when

10:17

chip companies want to sell more chips,

10:20

well, they need to buy KLIC machines. So

10:23

it's basically like being the only

10:25

company that makes the machines

10:26

everybody needs. They just beat earnings

10:29

expectations. You can see that here on

10:32

the Trade Vision chart as well. It'll

10:33

always tell you down there, right? 40%

10:36

better than expected, which is pretty

10:38

pretty decent beat, which is what really

10:40

kicked off the recovery here. They have

10:42

a 44%

10:44

profit margin. So they sell

10:49

profit margin. You see bankers we

10:51

struggle with spelling. Um if they what

10:54

that means is they they sell something

10:56

for they sell

11:00

$1,000

11:03

they keep $440.

11:07

That's pretty good. Look at most

11:08

businesses. They don't do that. They

11:10

have loads of cash to just sitting on

11:13

the stuff. Imagine, you know, Scrooge

11:15

McDuck jumping into his cash power.

11:17

That's basically them. And it means you

11:20

have lots of cash and very little debt.

11:21

You can survive, right? You can survive.

11:23

That's really important. And I know

11:26

everyone's excited about these Nvidia

11:28

chips. And yes, because they run the

11:30

data centers. But what's actually going

11:31

to happen is that AI is going to move

11:33

into your it's going to move into your

11:36

phones and into your car and into your

11:38

washing machine and into your fridge and

11:41

into everything. So that's kind of the

11:42

next cycle. So the cycle is going to

11:44

shift from just all centralized data to

11:48

at your fingertips processing. Why?

11:50

Well, it'll be faster for one. It'll

11:52

work possibly when you're offline. And

11:54

it'll also be safer as in you don't have

11:57

to send all your personal data to some

11:59

data center, which doesn't sound like a

12:00

great idea. So think about it this way.

12:03

When everybody wants to build houses,

12:06

what happens? It's a nice little house

12:09

there. It's a smiling little house. Who

12:11

makes money? Well, lumber companies to

12:13

start with, right? Because everybody

12:15

needs it. So, these guys are basically

12:16

the lumber company of the AI chip world.

12:20

We've got strong buy ratings on Wall

12:22

Street if you care about those sort of

12:23

things. And it's a cyclical business.

12:27

So, this thing is down from all-time

12:30

highs, which was in 2021, by 47%. So,

12:34

does that mean it's going to go up 47%.

12:37

No. But if it were to recover, it would

12:39

have to go up by like 93%.

12:42

Right? So to me, this is one of those

12:45

things that could double or triple. I'm

12:46

not saying it necessarily will because I

12:48

haven't got a crystal ball yet. Winston

12:50

keeps eating them. It's what golden

12:51

retrievers do. But if you just look at

12:53

the pure chart here again, what do you

12:55

see? You see that zigzaggy pattern thing

12:58

here, right? Draw a nice little line and

13:00

we're just sort of about breaking out of

13:02

that. It's actually pretty much the

13:04

perfect moment in my humble book.

13:06

doesn't mean you should run out and buy

13:07

it. What's stock number three? Probably

13:10

another one you never heard of. This is

13:12

useful for you, by the way. Put this in

13:13

the chat down below. Um I know people

13:15

would love to love me to talk about

13:16

stocks they've heard about, but um the

13:20

opportunity is often the ones you've

13:21

never heard about. And if this were to

13:22

recover its all-time highs, it would be

13:24

up more than 300%. Now, maybe I got your

13:27

attention now, right? So, what do they

13:28

do? Synaptics. Ticker symbol S Y NA.

13:34

Well, here is what they used to do. They

13:37

used to make touchscreens,

13:39

right? Now, I say used to do because

13:41

these guys have had a bit of a change of

13:43

business. They're now becoming an AI

13:47

company. I I know it sounds a bit odd,

13:49

you know, like everybody wants jumping

13:50

on it, but what are they now doing?

13:52

They're moving from touchscreens to

13:55

brains. Um, they're basically making

13:58

mini computers that can think locally,

14:01

so no internet needed. And they have a

14:05

partnership.

14:08

They got married with who? There's a

14:10

civil union apparently with Google, a

14:14

small company that apparently does some

14:15

search stuff. And that's a big

14:17

validation, right? That's a big like,

14:19

okay, these guys are doing something

14:20

that's pretty special. Didn't just

14:22

rename their company and put AI in the

14:23

to hope to, you know, survive. So, a

14:27

little bit like what I talked about just

14:28

they have this little AI platform

14:32

that can make 8 trillion

14:36

calculations per second.

14:40

That's just very fast, right? So,

14:42

instead of what used to happen before is

14:44

that say you have a device, right? Say

14:46

you have a phone.

14:48

You send data to you know

14:52

some sort of weird looking cloud which

14:54

looks like it got attacked by an acid

14:55

rain. So there's a cloud um not actually

14:58

a literal cloud cloud data center,

15:00

right? Cloud data center. I'm going to

15:04

get some funny comments on this one,

15:05

aren't I? Um and it would then think and

15:08

then it would send the data back right

15:12

now. We don't need this anymore. We just

15:14

do it in here. So you can see the

15:16

advantage. You don't need to send money

15:18

to the data center. Uh you can do

15:20

everything locally. It'll probably be

15:21

faster. It certainly be safer safer. and

15:23

and from a regulatory point of view, at

15:25

some point they're going to come down on

15:26

these guys for like sending all your

15:27

private data up to their servers because

15:29

they're doing that. Um, and that's not a

15:31

lovely thing, but that's what's

15:33

happening. So, these guys have gone from

15:35

selling

15:37

parts,

15:38

you know,

15:41

touch screens basically, to selling

15:45

a complete

15:50

solution. You will see them when I

15:52

write, but I swap lat letter letters

15:54

sometimes. They probably call me

15:55

dyslexic nowadays. In my days, we were

15:57

just called a bit thick.

16:00

Um anyway, cars are basically becoming

16:02

computers, so they need AI for safety,

16:04

for self-driving. Smart homes needed.

16:06

You know, think about your Alexa, but

16:08

actually private. Um and there'll be

16:10

one, as I said, in your fridge and in

16:11

your bathroom and in your everywhere,

16:13

right? So, these guys are positioned to

16:15

be in all those markets. And the numbers

16:17

are actually looking very, very good.

16:19

higher margins

16:21

because they're now selling something

16:23

really unique and they're becoming a

16:25

platform company instead of just a part

16:28

supplier that can be replaced. So, Wall

16:31

Street's excited about these guys.

16:34

We've got price targets up to $95. Now,

16:37

remember that Wall Street analysts are

16:39

like sheep. They don't like to be like

16:40

called too far away from the flock. So,

16:42

no one's ever going to come out and say

16:43

$150 or something. It just doesn't

16:45

really happen. So this transformation

16:47

story is though getting some attention

16:49

from Wall Street. So why could it be

16:51

huge? AI moving from cloud to your

16:53

device. It's called edge computing, by

16:54

the way. It puts you on the edge. Cars

16:56

will have about $1,000 worth of chips in

16:58

them by 2029. And half of all the

17:01

computers will have some sort of AI

17:03

thing built in by next year. So they're

17:06

becoming a platform company with

17:08

recurring revenue.

17:10

So we're loving it. And this chart,

17:13

well, this was a falling knife for a

17:15

long time, by the way, right? This was a

17:17

horrible, horrible stock, right? It just

17:19

really collapsed and then look at the

17:21

lows. They just went lower and lower

17:23

each time, right? But what we're seeing

17:25

right now is that we're actually

17:28

recovering here now. We've done that

17:30

before. It's true. So, be a little bit

17:32

careful. We're a little early on this

17:33

one. Um, again, I'm telling you to buy

17:36

it, obviously, but to me, this looks

17:37

pretty sweet. Now, as I say, early

17:41

careful position sizing, risk

17:43

management, that's where the real money

17:44

is made. But the pattern here, look at

17:47

that high, this high, these ones, these

17:50

ones, these ones. So, you just want to

17:51

take those out. So, about $72 or

17:54

something like that would be my entry

17:56

point. And I'll explain that more about

17:57

that if you join the live training,

17:59

felixpens.com/training. And I'll give

18:00

you really like the rule book on that

18:02

one. And maybe you're thinking, but hang

18:03

on, I'm just going to hold on to my

18:04

Nvidia like why now and all of that.

18:07

Okay, first of all, we're bullish on the

18:10

whole semiconductor sector, but I just

18:11

think that there are some less loved

18:14

companies that are under the radar that

18:15

eventually give us a big opportunity

18:17

because look, Nvidia is a an amazing

18:19

business. It's an amazing company, but

18:21

it's a $4 trillion company. So, how much

18:23

money does it take to make that stock go

18:25

up? They could double well $4 trillion.

18:29

It's a lot of money. Whereas these

18:31

companies are much smaller. And we are

18:34

seeing that the whole AI compute is

18:36

moving from from the cloud to the device

18:41

and it just makes sense. It's just going

18:43

to be faster. You're going to be able to

18:45

do all this stuff. So it'll be in your

18:47

phone, it'll be in your headsets, um

18:52

it'll be in your car, it'll be in your

18:54

fridge, it'll be everywhere, you know,

18:58

everywhere. So we've looked at chip

19:00

packaging being a bottleneck. All three

19:02

companies benefit from the whole trend.

19:04

By the way, cars are becoming computers.

19:06

Electric cars need way more chips than

19:08

cars, gas cars. Self-driving features

19:11

will require f powerful processors. And

19:13

all cars will be self-driving with the

19:14

exception of a few sports cars, but they

19:16

still have that feature built in so you

19:17

can turn it on. Um, so modern cars will

19:20

have more computing power than literally

19:22

a spaceship from 20 years ago.

19:24

Seriously. And by 2029, every car will

19:27

have about $1,000 worth of chips on

19:29

them. and they will not be your great

19:31

big Nvidia data center chips. They're

19:34

going to be little nimble chips that

19:35

will do stuff where they are. On top of

19:38

that, you have a government that is

19:39

insanely supportive of this whole

19:41

sector. So, you have the chips act which

19:45

it's going to pour a lot of money into

19:47

these sectors. You've got 500

19:50

billion in private investment promised

19:54

and of course the exact numbers will

19:56

only come out when they are actually

19:58

spent. But the government is basically

20:00

there to help these companies succeed

20:03

because they need them to succeed

20:04

because they want to move all this

20:05

manufacturing back home. So you've got

20:07

multiple growth drivers. At the same

20:08

time, we're early in what I think is a

20:10

multi-year growth cycle. This is like

20:12

catching the internet in 1995. Now,

20:15

could stuff go wrong? Yeah, people could

20:17

like get bored of semiconductors. So

20:19

like, ah, we don't want to compute stuff

20:20

anymore. Seems a little unlikely, but

20:22

possible. we can get a massive economic

20:24

recession given that we have massive

20:26

fiscal stimulus, massive tech tax cuts,

20:29

lower interest rates. Um, that all seems

20:32

kind of unlikely, but yeah, maybe the

20:35

trade walls disrupt supply chains more

20:36

than they already have. That's a

20:38

possibility. And maybe people will just

20:40

think AI doesn't do anything for a

20:42

little while until it does because you

20:43

know what happens with adoption cycles?

20:46

This is probably the most valuable chart

20:47

of this that I've ever seen. So, you

20:50

have you have a chart looks like this.

20:53

You have time down here and you then you

20:56

have

20:58

speed

21:01

of adoption, right? So this is what

21:05

people think, right? This is what people

21:07

think expect. It's not reality. What

21:10

happens is you get a new technology, you

21:11

get AI, and people think, "Oh my god,

21:14

it's going to everyone's going to use

21:15

this by tomorrow. It's the best thing

21:16

ever." And then people realize it's

21:17

going to take a lot longer. And then

21:19

everyone gets very, very disappointed.

21:20

And now what actually happens is that

21:22

over time, this is what happens, right?

21:26

So we have not seen this bit yet. That's

21:30

the bit that's going to come at some

21:31

point. And that bit is actually going to

21:33

be the bit that makes a lot of people a

21:35

lot of money. A lot of people are losing

21:36

a lot of money, but if you know what to

21:38

do, if you know how to be prepared,

21:39

you're going to make a lot of money. So

21:40

right now I, you know, we're somewhere

21:42

up here. Um, this is now. So little

21:45

warning, it's going to happen. But if

21:47

you know how to buy the good companies

21:49

on the dip and you know how to take

21:51

profits near the top, well, you're going

21:52

to be very happy. So, summary, AMKR,

21:56

yes, there is some competition from

21:58

bigger players. It's true. These are

21:59

some risk um I see KIC is is smaller and

22:03

therefore more vulnerable to downturns,

22:05

but they do have cash. And then SNA's

22:08

transformation, well, maybe they screw

22:10

it up. Maybe the partnership with Google

22:12

doesn't help you. You know, there's all

22:14

of that. So you want to focus on risk

22:15

management with everything because you

22:17

are never 100% accurate all the time.

22:18

That's not how this works. Uh but all

22:20

three companies have strong government

22:22

sheets, balance sheets, you got the

22:23

government support. So what I would say

22:26

to you is do this do this for the next

22:31

timeline. I'll give you a little

22:32

timeline here. First of all, join me on

22:35

the live training felix/training because

22:37

education is what you keep forever skill

22:40

basically. Everything else is just sort

22:41

of a a stock tip. in the next 6 months.

22:45

Then we have 12 months and then we have

22:47

18 months. See if we can get all of this

22:49

on the screen. So, we're expecting

22:51

higher profits for these companies.

22:54

We're expecting new products from all

22:57

these guys, new products, and we're

22:59

expecting more government support. Those

23:01

are the the catalysts that I that I look

23:04

for. Over 12 months, you see greater AI

23:08

adoption because hardly anybody's using

23:11

it, right? actually right now um car

23:14

sales

23:16

pick up. That's going to be very good

23:17

for these guys. Um and also some some of

23:20

the the factories. So some of these guys

23:22

are building new plants, right? Those

23:23

plants are coming online. And then if we

23:26

go out a little bit more, 18 months,

23:28

maybe even to 24, we're looking at

23:32

higher market share. That's what we're

23:34

going to watch out for. Higher profits.

23:36

Um tech improving. So just like

23:38

basically better tech, right? So that's

23:40

sort of the timeline now that I'm

23:41

looking at here. So the first

23:44

one they can really control. The second

23:48

one is a little bit more the market and

23:50

the economy. And the third one

23:54

is the result of the good decisions they

23:56

make over the next year. That's

23:58

basically that. Now what should you do

24:00

right now?

24:02

There is just a couple of key skills

24:04

everybody needs to have, right? It's

24:06

proper timing. And that doesn't mean

24:08

you're going to time the market

24:09

perfectly. Nobody does. But most people

24:12

get it horribly wrong. There is position

24:15

sizing, which is the ultimate.

24:21

He's such a cuddly little cat, this guy.

24:23

This is Albert, one of our top

24:25

researchers here.

24:27

So the most important thing and I think

24:30

that's probably the number one thing

24:32

that I see from the 20,000 students

24:35

we've had when to take profits. Probably

24:39

the most valuable skill everyone's

24:40

always focused on. Let's find the most

24:42

the next Tesla. But most people screw up

24:45

even a Tesla because they don't know

24:47

when to take profits. So I'll teach you

24:49

those if you join what

24:51

felixfriends.org/training.

24:53

There's a link down below. It's in the

24:54

description. And I'm excited to see you

24:57

there. If you got some value out of

24:58

this, share it with somebody. You know,

25:00

maybe even your cat. And um this is

25:02

Albert who's our cat daddy. He's got

25:04

five little babies which were entirely

25:06

unplanned. We went away for 3 days and

25:08

suddenly we're like pregnant. Uh oh.

25:11

They were meant to get desexed literally

25:13

3 days later. You timed that rather

25:15

well, didn't you, Albert? Very well

25:16

timed. So I thank you for watching,

25:19

making it to the end of this video, and

25:21

congratulate yourself. I hope you

25:23

learned a lot and I hope to see you on

25:25

the live training. Take care.

25:26

Are you worried you're going to get

25:27

caught out by the market crash that'll

25:29

inevitably come because the market moves

25:31

in patterns? Well, that's what uh Huge

25:33

has told me to watch out for. In all

25:35

seriousness, there is actually a

25:37

structure to predict the market patterns

25:40

that happens with 90% accuracy. And I

25:43

want to walk you through that so you are

25:45

better prepared because guess what?

25:47

Nobody expects a crash when the markets

25:49

are doing fantastically well as they

25:51

have

Video Information

YouTube ID: _xk0nnnuejA
Added: Sep 15, 2025
Last Updated: 5 months ago