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The UNTHINKABLE is About to Happen to Stocks

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The UNTHINKABLE is About to Happen to Stocks

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705 segments

0:00

Some of the biggest and most profitable

0:02

tech stocks have barely moved in two

0:04

years, while the NASDAQ has exploded up

0:07

by 70% in the same period. And that has

0:10

created a powder cake opportunity for

0:14

us. I'm the guy who bought oil stocks 6

0:17

months before the war broke out, not

0:19

because I have a crystal ball, but

0:21

because I could see the big money moving

0:23

into oil stocks. And I'm up very nicely

0:27

about 60% on this right now. while the

0:29

S&P has moved just about 9%. So, I made

0:34

like five times more than the market.

0:36

And I believe this rotation could be

0:38

even bigger and faster. Why? Because I

0:41

noticed that the big money is moving

0:43

faster and faster from bucket to bucket,

0:45

from sector to sector. And they hop. And

0:48

the truth that nobody wants to tell you

0:49

is that Wall Street no longer buy stocks

0:52

for their quality. They don't care about

0:55

profits. They don't care about

0:56

management. Now time has passed. All

0:59

they care about now is mment. And it may

1:02

sound fickle. And I know you're used to

1:04

this buy and hold philosophy, right?

1:06

We've all been taught it. Our parents

1:08

were taught it. But if you don't

1:09

understand this, I believe you're going

1:11

to get left behind. You will hold tech

1:14

stocks and you'll make like 0%. Or the

1:18

NASDAQ does 70%. or you play it safer

1:22

and you buy the S&P and you'll make

1:24

single digits like 9% since the before

1:28

the war broke out. And people like me

1:30

made five times that because we bought

1:32

oil stocks at the right moment. So in

1:34

the next 20 minutes, I'm going to

1:36

explain this opportunity to you. I'm

1:38

going to give you both an ETF, so an

1:40

index fund and three individual stock

1:42

opportunities. And if you want to

1:43

understand that, stick around. I warn

1:46

you though, the video is going to be

1:47

fairly information dense. Even though

1:49

I'm I'm on the move here. I'm in the

1:51

south of France, as you can maybe see in

1:52

the in the window there, the reflection.

1:54

But to make this really really land for

1:58

you, I'm going to give you more than

1:59

just this video. I'm going to give you a

2:01

full bonus free research report on

2:03

everything I'm covering here, plus more

2:05

we have time for in the short videos.

2:07

You can download that for free at

2:09

felixfrren.org/software.

2:12

So, it's free, and I mean truly free.

2:13

It's just there for you. Take advantage

2:14

of it. Links down below in the

2:16

description.

2:18

Now, let me show you something first

2:19

that most people are missing. Over the

2:21

last two years, two things have happened

2:23

that created a crazy mismatch. The

2:26

NASDAQ 100 tracked by QQQ, if you're an

2:29

index fund investor, it's up about 70%

2:32

in the last two years. So, if you put

2:35

$10,000 into the NASDAQ in 2024, you'd

2:38

have about $17,000 right now, which is

2:40

pretty good, right? But the biggest tech

2:43

stocks out there, the software

2:45

companies, they didn't just go up

2:47

slower. So they actually went down in

2:48

the same time period. We're talking

2:50

about a decline of about 8%. So instead

2:52

of 10K turning into 17K, you'd be

2:56

sitting at $9,000 in a bit while your

2:58

friend who just bought the NASDAQ index

3:00

made loads of money. How is that

3:03

possible? That software which is

3:04

supposed to be the future is going down

3:07

while everything else is going up

3:08

massively. That's exactly why this is

3:11

creating an opportunity. Of course, the

3:13

question becomes why does the gap exist?

3:16

Right? A couple things you need to

3:18

understand and then I'm going to walk

3:19

you through the actual stocks. So why

3:22

would professional investors, the people

3:24

managing billions of dollars,

3:26

deliberately bet against software? Now

3:29

the answer will tell you everything you

3:31

need to know. There is a narrative on

3:33

Wall Street. Very powerful narrative.

3:35

Powerful enough that hedge funds, the

3:37

smartest money in the world, are betting

3:39

billions of dollars against it. And

3:41

they've been doing it for two years.

3:43

They've made lots of money on this. So

3:44

they've been right in a sense. In a

3:46

sense, they make their own right and

3:48

wrong. And their story is this. AI is

3:50

going to kill all software companies.

3:52

Why? Because AI can do what their

3:54

software companies can do, but better

3:55

and faster and cheaper, which sounds

3:57

scary, right? If you're a software

3:59

investor. So hedge funds decided to make

4:01

money on the fear. They might have also

4:03

had something to do with creating the

4:05

fear because these talking heads go on

4:07

on television, right? So those hedge

4:09

funds so far have made $24 billion

4:13

betting that software stocks would go

4:14

down. Think about that. $24 billion on

4:16

one bet. And when that much money is

4:19

betting on one direction, it creates an

4:22

imbalance. Think about it this way. If

4:25

all your friends are standing on one

4:26

side of a boat, what happens? You move

4:29

the whole boat, right? Everyone's

4:31

crowded on one side. The boat gets, you

4:32

know, lopsided. But here's the thing

4:34

about boats. The more crowded one side

4:37

gets, the more likely this to tip the

4:39

other way because people will notice it

4:40

and go, "Oh my god, we're going to fall

4:42

over. Let's run to the other side." And

4:44

then everybody wants the other side and

4:45

you do the opposite. Right? Is that a

4:47

nice illustration? Me leaning left and

4:49

right. So this video isn't about

4:51

convincing you whether or not AI will

4:53

kill software. Doesn't matter. I'm here

4:55

to show you how to potentially profit

4:57

from what happens next. Regardless of

5:00

what happens to this software, the

5:02

bottom line is that investing used to be

5:04

like planting trees. You buy a famous

5:07

company, you plant it in your brokerage

5:09

account, and you ignore it, and you

5:10

check back in 20 years, and what a

5:12

beautiful tree would be. But today, the

5:15

world changes too fast for that. Because

5:18

of AI and technology shifts, a company

5:21

that looks like a mighty oak today can

5:23

be chopped down into chopsticks in just

5:27

two years. So if you just buy and hold

5:29

one company forever, you might end up

5:31

holding it all the way down to zero. So

5:33

what does Wall Street do instead? What

5:35

do the pros do instead? They surf.

5:38

Instead of marrying a stock, I always

5:40

say don't marry the stock, marry the

5:42

girl. So you understand that concept

5:44

now. Maybe you're still doubtful, but

5:46

here's the thing. Understanding the

5:47

framework and the concept isn't enough.

5:49

You need to actually position for it.

5:51

And there is a very specific time window

5:53

to do that. Do you remember the big IPO

5:56

boom? The last one? Not SpaceX. I'm

5:59

talking 2020. Airbnb, Coinbase, Roblox,

6:02

Rivian. Where were you when that was

6:04

happening? Did you make money? Or maybe

6:07

you made some money and then you handed

6:08

it back to the nice fell on Wall Street

6:10

because he really needed another

6:12

Lamborghini. Or maybe you just sat on

6:14

the sidelines and you were waiting for

6:16

the dip, right? Other people made 10

6:18

times their money. So be honest with

6:20

yourself for a moment here and try to

6:22

remember that period because nobody

6:24

wants to admit exactly this. The people

6:27

who build real wealth, the kind that

6:30

changes your future, your family's

6:31

future for generations, they do it by

6:34

recognizing moments and patterns.

6:36

Patterns like right now. I call this the

6:39

IPO summer. Companies that have been

6:42

waiting on the sidelines for decades are

6:44

about to go and list on the stock

6:46

exchange. It isn't just SpaceX, loads of

6:47

others. And the people who know how to

6:49

position from this, the people who

6:50

understand the fiveear cycle is this

6:53

historically kicks off, they're going to

6:55

build wealth machines. And five years

6:57

from now, you're going to be in one of

6:59

two groups. Group numero uno, the people

7:01

who watched it happen. Again, just like

7:04

2020 or like 2010 or like 1998, just

7:09

like they watched every major

7:10

opportunity pass them by. And then you

7:12

have group number two, the people who

7:14

showed up, who learned Wall Street's

7:16

playbook, who built something that

7:18

actually matters for themselves, for

7:20

their children, for their retirement,

7:21

for their legacy. So, you got to pick a

7:23

group. Put group number one or group

7:25

number two in the chat. Which group do

7:26

you want to be? And just to get really

7:30

real with you, I'm I'm heading to New

7:32

York next week, so I'm trying to learn

7:33

American.

7:36

Father's Day is this weekend. And you

7:38

might be thinking, random, why are you

7:39

talking about Father's Day? This is not

7:41

about you having another beer, sleeping

7:45

on the sofa, or doing a barbecue or

7:46

whatever you do on Father's Day.

7:48

Everyone needs to ask themselves just

7:49

one question here. What legacy am I

7:51

building? If you retired today, right

7:54

now, your earnings would stop right now.

7:55

Would you be taken care of? Would your

7:56

family be taken care of? If something

7:58

happened to you tomorrow, God forbid,

8:01

did you build something that lasts? Did

8:03

you leave something that you'd be proud

8:04

of? And right now, standing at the

8:06

beginning of this 5-year window where

8:08

the people who learn how to build wealth

8:10

are really going to separate themselves

8:12

from everybody else. And I'm not saying

8:14

buy all the overhyped IPOs. I'm not

8:16

saying that at all. What I'm saying is

8:18

learn the skills that separate the pros

8:22

from the amateurs. And I believe this is

8:24

so important. I'm going to do something

8:26

on Father's Day for you. I'm going to

8:28

hold a live workshop on Father's Day at

8:30

7 PM New York time. Live from New York,

8:33

actually. And I call it how to turn the

8:36

IPO summer into a fiveyear wealth

8:38

machine. Never taught this material

8:40

before. And honestly, I might never do

8:42

this again because the next opportunity

8:43

like this will be maybe in 10 years. So

8:46

if you want to be there with me, be

8:47

there live. Don't ask me for a replay.

8:49

We don't do those. It's going to be two

8:51

hours long. And there's a link down

8:53

below. It's completely free. There

8:54

10,000 tickets to this

8:56

wealthmachine.org.

8:58

And over half of those tickets are

9:00

already gone as I'm recording this. So,

9:02

by the time you watch this, there might

9:03

not be that many left. Wealthmachine.org

9:06

is the link in the description. It's

9:08

also in the comments down below.

9:10

Free, no questions asked, no credit card

9:13

needed, nothing. So, if you want to be

9:15

part of that event, if you're going to

9:16

show up for yourself, write wealth

9:18

machine in the comments. Let me know

9:19

that you're going to be there and you're

9:20

going to show up for yourself. But the

9:22

promise of this video to get back to it

9:23

is to help you understand the forces

9:26

first, right? So, Sunday is the big

9:29

vision. It's the detail. We're going to

9:31

go into much much more detail than a

9:32

20-minut like this video like this can.

9:35

But let's get into these three stocks.

9:38

So, we've talked about

9:40

the boat, right? One simple rule you

9:43

need to learn right now, which I call

9:45

follow the money. And the framework is

9:47

called or I call it the rubber band

9:49

effect. And it works because human

9:50

nature doesn't really change very much.

9:52

Imagine a rubber band, right? When you

9:54

stretch a rubber band really, really,

9:56

really far in one direction, what

9:57

happens? What happens? it gets really

9:58

really tight, right? And the further you

10:00

stretch it, the more pressure builds up

10:02

and then eventually that pressure

10:03

becomes too much and suddenly it snaps

10:05

back in the other direction. It snaps

10:07

even harder than when it was stretched.

10:09

Stock markets work the same way. Same

10:11

like the boat that has. So the more

10:13

extreme the crowding, the more pressure

10:15

builds up. So what we seeing right now

10:17

in software, particularly three stocks

10:19

I'm going to give you, is this rubber

10:20

band stretched out as far as I've seen

10:23

it in years. And if I see it, I know

10:26

lots of other people are seeing it

10:27

because we all got taught the same

10:28

rules. I used to be a banker and there's

10:30

a process to identify when the snap's

10:33

about to happen. And if you know the

10:34

steps, you could be ready when it does.

10:36

So, let me give you the big picture

10:37

here. Three steps. We're going to go

10:39

much much deeper on this on Sunday. So,

10:40

make sure you join me there. Links down

10:42

below. The first step is figuring out

10:44

exactly how crowded one side of the boat

10:48

is. Professional investors track

10:50

something called positioning. And this

10:52

is basically a measure of how many

10:53

people are betting up versus how many

10:55

people are betting on it going down

10:57

because that's what Wall Street does.

10:58

They don't care which way it goes. They

11:00

make money either way. Now, normally

11:02

positioning is fairly balanced, right?

11:04

It's a little bit up, a little bit down.

11:06

But right now, software is incredibly

11:08

lopsided. Way more money is betting on

11:10

software going down than up. So, if a

11:13

tiny piece of information comes out that

11:14

makes people think software isn't going

11:16

to disappear, I mean, have you canceled

11:18

your Microsoft subscriptions? Probably

11:20

not, right? Because the truth is, yes,

11:23

AI makes it easier to build software,

11:25

but selling software, distributing

11:27

software, getting companies with 100

11:30

thousand employees to buy 100,000

11:31

licenses from you, that is still really,

11:33

really hard. And AI doesn't help you

11:35

with that. The second spot step, even

11:38

the second step is look for the crack.

11:41

And it's the first sign that the boat is

11:43

about to tip over. And it's when the

11:45

price of a stock breaks through a level

11:47

where a lot of people thought it would

11:48

stay below it. And if I may and if I may

11:52

um torture you with a stock chart for a

11:54

moment, there is an ETF called IGV. It's

11:57

a software ETF index fund and it's been

12:01

having a pretty hard time, right? It's

12:03

come down a lot in beginning of 2026.

12:05

Really, really nasty. The lows down here

12:07

about 74 and then it's recovering. And

12:11

you see that little yellow line there,

12:12

the moving average line. seems to be

12:14

recovering quite nicely. And what we

12:16

just did is that we collapsed once

12:17

again, right? The whole inflation fear.

12:20

And now we appear to be bouncing off

12:21

that. And you might be watching this a

12:23

few days after I record this. It doesn't

12:24

really matter. The concept, the

12:26

principle is always there, which is why

12:27

I always say learn how to fish. Don't

12:29

ask for fish. Right? So, we're at a

12:32

point where I'm very interested in

12:35

potentially buying this. Again, I'm not

12:36

telling you to buy it. I'm just giving

12:38

you some education here. It's not

12:40

financial advice. But that's your second

12:42

step. And then your third step is the

12:44

force bind. And this is kind of the

12:46

scariest part. It's when the boat is

12:49

about to really tip over. A couple of

12:51

people are falling overboard. So you're

12:53

like, "Oh my god, what do we do?" Well,

12:55

everybody runs to the opposite side of

12:57

the boat, right? Because if they don't,

12:59

they're going to fall overboard, too,

13:00

and they'll drown. And that's exactly

13:04

what Wall Street has to do. Because the

13:06

people who bet on software going down

13:11

because it has a lot making a lot of

13:13

money in that direction. Well, what

13:14

happens when it goes back up? What

13:16

happens when it goes back up and their

13:17

profits get erased and suddenly, oh my

13:20

god, now they're losing money because

13:22

they only make money on the way down.

13:24

The only way to close a bet that a stock

13:27

will go down is to buy the stock. And

13:31

you might have heard about shorting,

13:33

which is what this is. If you're

13:34

shorting a stock, you're selling it. You

13:36

don't own it. You just sold it. So,

13:38

you're minus a stock in your portfolio.

13:40

The only way to go back from minus to

13:42

zero is to buy a stock. And it creates a

13:46

rush of buying. And these guys are not

13:47

buying because the stock or industry is

13:49

getting better. It's just mechanical

13:51

buying. It's forced buying. It's risk

13:52

management. It's the rubber band

13:54

snapping back. It's everyone running

13:56

from one side of the boat to the other.

13:58

Let me give an example of one of these,

13:59

a recent one, and then we look at the

14:01

actual three stocks here. Avis. Avis had

14:04

a beautiful rally up. I bought it here.

14:07

It made a lot of money. It's beautiful.

14:09

Took some profits somewhere. I can't

14:10

remember where. I think it was about 80%

14:12

up. And then what happened? Well, it

14:14

went all the way down again, right?

14:15

Really, really down. So, a lot of people

14:16

made a lot of money on the way down. And

14:18

then what happened? As the stock went

14:20

back up, a short squeeze happened. So,

14:24

the stock went up. Not because car

14:27

rental is suddenly a sexier business.

14:30

No, it happened purely because all the

14:32

people who had shorted this to make

14:34

money on the way going down, they were

14:35

now losing their shirt and this thing

14:37

went up like 400%.

14:40

And then it collapsed again and I know

14:43

some of my mentors made a lot of money

14:44

on it going down again. This is what

14:47

trading is called. And there's a little

14:48

thing at the bottom of the screen here

14:50

which shows you how much trading was

14:53

happening there and how the institutions

14:55

were buying in green every single day to

14:58

get out of their positions. And the

15:00

smart investors in my humble opinion are

15:02

ready for this kind of pattern on

15:03

software. Not promising you any

15:05

financial outcomes obviously but I'm

15:07

seeing a similar pattern here. So how do

15:09

we play this? Well the simplest way to

15:11

play this is to buy the the index fund

15:15

for example IGV. And again, I'm not

15:17

telling you to buy it. I'm just saying

15:18

seeing a similar pattern here. We've

15:20

come up, we go gone gone down again.

15:22

We're bouncing off. We're finding some

15:23

support down here at the 50-day moving

15:25

average line, which is a good thing. And

15:27

it's a it's an ETF that basically holds

15:30

110 leading software companies.

15:31

Everybody like you know, Oracle, Palo

15:33

Alto, Microsoft, Palangja, Crowd Strike,

15:35

all that stuff. So one click you get

15:38

exposure to the entire sector. And maybe

15:41

you're still thinking, but I think

15:42

software is going to get killed by AI.

15:44

All right. So, you think everyone's

15:45

going to cancel their Microsoft Office

15:47

subscriptions, right? Because you think

15:51

you think um if somebody made you think

15:54

if somebody made a free word processor,

15:56

they would use that instead. Well,

15:57

someone's made that already. It's called

15:58

Google Docs. I've got one open here on

16:00

the screen. It's brilliant. I use it all

16:01

the time. Have I still got Microsoft

16:03

Office? Yes, I do. Why? No idea. The

16:06

truth is people especially

16:09

enterprises don't cancel software

16:11

subscriptions very lightly because their

16:13

whole system is kind of interwoven with

16:15

this. So the reality is the disruption

16:18

already came. Loads of the stuff is

16:19

already available for free but

16:23

people are still paying for the paid

16:24

because they've always done it and it's

16:26

embedded in their systems. Now I also

16:28

promised to walk you through three

16:30

stocks right? So stock number one is

16:33

CVLT.

16:35

It's called Kumalt Systems. The second

16:37

stock is Mara Holdings. And I'm going to

16:40

give you a third one as well with a

16:42

straightforward explanation of why I

16:44

like these ones particularly. So, Com is

16:47

essentially a cyber resilience and data

16:49

protection company. So, everyone's

16:50

panicking about AI killing software.

16:52

These are guys are building the tools

16:54

that protect the data that AI runs on.

16:57

Think about it. Every company on the

16:59

planet needs to back up and protect

17:00

their data. And cyber attacks are

17:03

increasing because AI can do the cyber

17:05

attacks. So we need more of what

17:07

Convolult does. They did over a billion

17:09

dollars in revenue, growing 19% a year.

17:12

They've got enterprise clients

17:13

everywhere. They're partnering with

17:15

companies like Crowd Strike. They just

17:17

acquired another AI data security

17:19

company. And no one's going to cut cyber

17:21

security spending because you get

17:22

hacked. You're finished. Now, if you

17:25

pull up the chart here, this stock's

17:28

been hammered pretty harshly. It's down

17:30

about 60 odd percent and it's now in a

17:34

recovery phase. And what do we look for?

17:36

Well, we look for the the the catalyst

17:38

which was here. You see some bigly

17:41

institutional buying happening there

17:42

suddenly as we're kind of coming out of

17:44

this zigzaggy heartbeat pattern there.

17:47

And now we're grinding grinding our way

17:49

up. Each low is higher than the previous

17:51

low, which is definitely a good thing

17:54

from a chartist point of view. And we're

17:56

seeing that yellow moving average line

17:59

indicating some positive momentum. And

18:02

you might think these charts are a lot

18:03

of gobbledegook. I used to think that

18:05

too. Well, let me teach them to you

18:06

properly on Sunday. There's a reason by

18:09

the way, right? Why be exactly where we

18:11

are right now as I'm recording this and

18:12

by the time you're watching this, it

18:13

chart looks somewhat different. Again,

18:15

that really doesn't matter. So, let me

18:16

walk you through stock number two,

18:18

Expensify. And I know it's a teeny tiny

18:21

company. It's trading at a dollar in a

18:23

bit. And normally I'd be very cautious

18:25

about something this small, especially

18:27

something that

18:29

um peaked at $50. So this thing is down

18:33

about 97%.

18:35

Cheap, right? People said cheap all the

18:38

way down. Cheap is not the reason to

18:40

look at something like this ever. What

18:42

is Expensify? Expense management

18:44

platform. Companies use it to track

18:46

expenses, corporate credit cards, pay

18:48

their bills, that sort of thing. and

18:50

they've got millions of users and

18:52

absolutely hammered, but they're still

18:54

generating cash. They just did a 25

18:57

million share buyback, which tells you

18:59

management thinks the stocks, I was

19:01

going to say cheap. I'm not allowed to

19:02

use that word, am I? Um, they've

19:04

integrated AI to their platform. They

19:06

launched something that lets AI

19:07

assistants like Chat GPT plug directly

19:09

into the expense data. So, you got a

19:11

company that's been beaten down to

19:13

basically nothing. Management is buying

19:15

back shares and they're actually

19:16

embracing AI are being killed by it.

19:19

When you look at the charts, it appears

19:20

to be bottoming out because every single

19:23

low that we seeing here, they're getting

19:26

higher and higher and higher, which is

19:30

exactly the kind of pattern you want to

19:31

see. We saw some pretty bigly

19:33

institutional buying happening there,

19:35

but it's tiny. It's risky. So, I'm not

19:36

telling you to rather than buy it, but

19:38

in a que squeeze scenario, the smallest

19:40

names with the highest short interest

19:42

often move the fastest. Now clearly

19:46

speculative play clearly flagged as

19:49

risque as they say in the south of

19:52

France. Now the third stock is called

19:54

Mara and let me just zoom out on the

19:57

chart for you to give you a little bit

19:58

of a feel for what pain looks like for

20:01

the buy and hold crowd. Imagine you

20:02

bought this at the top and you're down

20:05

83%. We've been holding keeping that

20:08

secret for uh four years now from your

20:11

wife. Uh, this used to be Marathon

20:13

Digital, by the way, and it's a real

20:15

squeeze candidate because over a quarter

20:17

of this company's tradable shares are

20:21

being shorted right now. Now, this used

20:23

to be a Bitcoin mining company, and I

20:25

know what you're thinking, Looney Stock,

20:27

but they're pivoting into something

20:28

bigger. They're acquiring energy

20:30

infrastructure. They're buying a company

20:32

called Longriidge Energy, and they're

20:34

building out AI data center capacity. It

20:36

seems these guys hop onto whatever the

20:38

latest thing is. So again, a lot of buy

20:40

and hold play here, but they're becoming

20:42

an energy and AI infrastructure play. So

20:45

why is there squeeze potential? You got

20:47

a stock that's down 80 something%.

20:50

You've got a quarter of the sales,

20:52

you've got a quarter of the shares sold

20:54

short and if Bitcoin rallies or if the

20:57

AI infrastructure starts getting

20:58

attention, you get exactly the kind of

21:00

force buying we're talking about with

21:02

Avis. So what am I seeing on this chart

21:04

that I'm liking? Well, I see the lows.

21:06

Low there, low there, low here. sort of

21:08

bottoming out, inverse head and

21:10

shoulder, you might call it, which

21:12

actually is probably the only chart

21:13

pattern that I actually care about. And

21:15

then we got lows that are go higher and

21:17

higher and higher. We actually grinding

21:19

our way quite up, up quite nicely. Now,

21:22

this won't go up in a straight line. I

21:24

guarantee you that. There too many

21:25

losers in this already if you're going

21:26

to want to sell every time we get a

21:28

little bit higher. But it's moving and

21:30

it's showing signs of this could be an

21:32

interesting one, which is why I'm

21:33

mentioning it. I'm not telling you to

21:35

buy it. I want to be very, very clear

21:36

with that. Now, of course, you have to

21:38

know when to sell and how to set it up.

21:40

And I think you have a responsibility

21:42

and you have to think responsibly about

21:44

position sizing and everything else and

21:46

think about how it fits into your

21:47

portfolio and all of that. But the quick

21:48

ball case for each of these is Comvold

21:51

cyber security resilience. It's a

21:53

non-negotiable spending a billion in

21:55

revenue punished pretty harshly.

21:59

Expensify teenytiny beaten down

22:01

management buying back shares embracing

22:03

AI and then Ma Marat the biggest short

22:06

squeeze candidate we have here pivoting

22:08

into AI energy infrastructure. Now are

22:11

there more layers to this particular

22:13

French onion? Yes, of course they are. I

22:15

can't teach you everything there is

22:16

about investing in sort of a 20inut

22:18

video which is precisely why I'm running

22:20

a live workshop. You can ask me

22:22

questions. I'm doing that for you guys

22:24

on Fless Day. Women of course are also

22:27

welcome. we are um not that sexist yet.

22:31

Um and honestly, I'd encourage you to

22:34

bring your bring your better half, bring

22:35

your teenage children if you have them,

22:37

and learn together because the skill of

22:40

managing money is I think the most

22:43

powerful skill we're going to acquire.

22:45

And I'm going to walk you through a much

22:47

more detailed run through of setups, not

22:50

just for software, but for everything.

22:52

And I truly believe the old playbook,

22:54

this buy and hold playbook, it doesn't

22:56

work anymore. not for stocks. It doesn't

22:58

even work for sector index funds. It

23:00

probably works for the S&P 500. I think

23:02

that's a very very very fair thing to

23:04

say and I would never discourage anybody

23:06

from from buying the S&P 500. Um it'll

23:09

give you average returns in the long run

23:11

if you've got a long run. But many of

23:14

you are buying stocks. Many of you are

23:16

buying AI or space or quantum or

23:20

whatever index funds. So you're not a

23:23

buy and hold person. You tell yourself

23:24

that, but you're not really. you're

23:26

actually making selections and in that

23:28

world buy and hold I think is very very

23:30

dangerous because the speed at which

23:32

money moves around is now greater than

23:34

ever. It's how Wall Street makes money.

23:36

Technology disruptions are faster and

23:38

faster and faster. And you know we used

23:40

to have the leading phone company in the

23:41

world. What was it called? Nokia. Right.

23:43

And then there was Blackberry for

23:45

business. I used to love my Blackberry.

23:47

Um that's when I was a banker. You can

23:48

tell how many years ago that was. And

23:51

then they pretty much went out of

23:52

business. Yeah, they're still around,

23:53

but you know, the product is dead. Cisco

23:56

was the most exciting software company

23:57

around. And you can think of thousand

23:59

such examples. The money went into them

24:02

and the money left and it's found

24:03

somewhere better to make more money. So

24:06

come and join me on Sunday. It'll be

24:08

free. It'll be live. It'll be two hours.

24:10

I'll teach you the system that I use

24:11

every single week. Whether you're an

24:13

investor, whether you're a trader,

24:15

whether you're buying stocks or index

24:17

funds, or if you're just interested in

24:18

how to responsibly grow your

24:21

investments, protect your investments,

24:23

come and join us, wealthmachine.org is

24:25

the link is the link down below in the

24:27

description and in the comments. And if

24:29

you got some value from this and if you

24:31

think someone might get value from the

24:32

live workshop, send them the link, share

24:35

it with the people, and I wish you all

24:37

the best. If you missed Palanteer, if

24:40

you missed SpaceX, if you missed the

24:42

quantum rally, then what I'm about to

24:44

show you might be the single biggest

24:46

investment theme of the next decade.

24:49

Last year, I showed you quantum

Interactive Summary

The video highlights a potential market opportunity involving a rotation away from certain tech stocks, which have lagged while the broader NASDAQ has performed well. The speaker argues against traditional 'buy and hold' strategies, advocating for a more active approach centered on tracking institutional money flow and identifying technical 'rubber band' effects in sectors like software. He suggests that while some believe AI will kill software companies, the reality of market positioning creates a 'short squeeze' potential. The speaker discusses three specific stocks—Commvault Systems, Expensify, and Mara Holdings—and invites viewers to a live workshop for a deeper understanding of his investment framework.

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