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How to Pick Winning Stocks (The Simple Way) by Adam Khoo

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How to Pick Winning Stocks (The Simple Way) by Adam Khoo

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733 segments

0:10

Well, people always ask me, how do I

0:11

find great investment opportunities in

0:14

today's market? Now, remember that

0:15

whatever the market is, the index, even

0:18

at all-time highs, there are great

0:20

companies selling at reasonable prices

0:23

or at discounts. There are

0:24

opportunities. You just have to know how

0:25

to, you know, find them and drill into

0:28

them. So, we're going to show you how I

0:30

look for great stock ideas every single

0:33

day. And I'm going to show you how I do

0:34

it with a Stock Oracle, which I think

0:37

most of you have subscribed for. And

0:38

there's there's a few ways you can do

0:40

it. The first thing you can do is

0:42

uh you go to what we call the Value

0:44

Radar. And this shows you a whole heat

0:46

map of the S&P 500,

0:49

the US market. So, this are all the 500

0:52

companies, and you can always look at

0:55

them based on their discount or premium

0:58

to intrinsic value, and how they have

1:00

done for the last 1 day, the last 1

1:03

week, the last 1 month, the last 3

1:05

months,

1:06

so and so forth, right? So, for example,

1:08

if you take a look at year-to-date, all

1:11

right? Year-to-date, um where

1:13

which have been the best performers

1:15

year-to-date? So, you can see straight

1:16

away, best performance would be Apple.

1:18

Apple's up 24% this year, Microsoft's

1:21

down 18% this year, Google up 7% this

1:24

year, Amazon down 1% this year, JP

1:27

Morgan up 8%, so and so forth.

1:30

But, this is not really useful. It tells

1:32

us how it performed in the past. Who

1:35

cares about the past? We want to know

1:36

how it's going to perform in the future,

1:38

right? So, um let me go to this here

1:42

that tells me which ones are uh

1:45

overvalued at a premium and which are

1:47

undervalued at a discount, okay? So, uh

1:51

when you see

1:52

a minus means discount to intrinsic

1:55

value, and plus means above intrinsic

1:58

value. And of course, discount would be

2:00

more green,

2:01

and overvalued would be more red when I

2:04

look at this. So, straight away when I

2:06

look at the whole market, where do I see

2:08

some undervalued companies? Again,

2:11

I don't just

2:13

buy stocks because they're cheap,

2:15

because cheap crap is still crap. They

2:18

must be high quality, then I look for

2:21

valuation. So, quality is always the

2:24

priority. The valuation is always

2:26

secondary, okay? So, straight away,

2:29

which stocks stand out that are

2:30

undervalued, that are of high quality?

2:32

And you've got Nvidia. Nvidia is 10%

2:35

below intrinsic value.

2:37

Microsoft, 18% below intrinsic value,

2:40

even with yesterday's pop, you know?

2:42

Meta, 40% undervalued.

2:45

Where else? Now, some of these are quite

2:47

small. So, what you could do is you can

2:49

actually zoom in to a particular sector.

2:52

For example, if I just click on

2:54

technology, you can see these are all

2:56

the technology stocks. Now, for example,

2:59

you can see Micron is 57% overvalued.

3:02

Now, some people they don't understand,

3:03

they say, "How can it be? Micron the PE

3:06

ratio is so low. How can it be

3:07

overvalued?" They don't understand,

3:09

right? So, maybe I'll talk a bit about

3:11

this, because this is a very common

3:12

question that I get. How can Micron be

3:15

so overvalued? So, let me explain. Now,

3:19

first of all, understand that PE ratio

3:21

doesn't work for all kinds of companies,

3:24

okay? They only work for certain kind of

3:26

companies, and Micron is one of those

3:28

companies which are what we call very

3:30

cyclical. Now, what does cyclical mean?

3:33

Cyclical means their profits

3:34

historically don't go up consistently.

3:37

Their profits go up a lot, they go down,

3:39

go up, so it's very, very cyclical. So,

3:42

for example, let's look at their

3:44

financials. So, we're going to click on

3:45

financials, and you can see what I'm

3:48

talking about.

3:49

Um

3:51

there we are, right? So, take a look at

3:53

the uh net

3:55

income.

3:56

Now, remember how is PE ratio

3:59

calculated?

4:01

PE is the share price today

4:04

divided by the earnings per share.

4:07

Earnings per share comes from the net

4:09

profit divided by number of shares.

4:12

So, Micron is a company where look at

4:15

the profit. It it goes up, it goes down,

4:18

it goes up, it goes down all the way,

4:21

goes up, all right? So, you can see it's

4:22

very cyclical. Now, it's here because

4:26

there's a big demand for their memory

4:27

chips and because of lack of supply, the

4:30

prices are very high.

4:32

Now, the question is is this

4:34

sustainable?

4:35

So, some people say that Micron is no

4:38

longer cyclical, that for the rest of

4:40

the future, it will keep going up.

4:43

Now, if that is true, then yes, Micron

4:46

is very cheap right now. Very cheap, if

4:49

if that's true.

4:50

But,

4:51

if it turns out that memory is actually

4:54

cyclical, then this will not last, which

4:56

means once the oversupply, or rather the

5:00

undersupply is over and there's an

5:01

oversupply, and memory chip prices go

5:04

down, what's going to happen to this

5:05

profit? This profit is going to drop

5:07

back down

5:09

to here

5:11

as it has been

5:13

since its history, okay?

5:15

And the problem with cyclical stocks is

5:17

when the profits are very high. Like

5:20

now, the profits are very high. When

5:21

this becomes very high, what happens to

5:24

the PE? The PE becomes very very low.

5:27

Okay? So, if you look at Micron today,

5:29

what's the PE? The PE ratio is

5:32

um

5:33

you can see the forward PE is 5.6.

5:37

So, people think, "My god, that is

5:38

really really cheap, right?"

5:40

But, again, the problem is that because

5:42

the earnings are so high, it causes us

5:45

PE to drop to 5.6 forward P/E. So, that

5:49

looks cheap,

5:50

but it's an illusion.

5:52

Because these this profit is not

5:55

sustainable. So, once this profit if the

5:58

profit drops, this goes down the P/E

6:00

from 5.6 would shoot up back to like 30

6:03

P/E.

6:05

You get the point? So, you got to be

6:07

very careful about these situations.

6:08

Now, again, um

6:11

the question again with Micron is this,

6:12

is are the earnings going to be

6:14

sustainable? Are they going to keep

6:15

going up for the next 10 years? Or are

6:17

they going to come back down again?

6:18

Honestly, I don't know. I really don't

6:20

know. And people are divided because

6:23

they're not sure how sustainable

6:26

are these memory chip demand and and

6:28

prices. So, for me, very simple, when

6:30

I'm not sure of something, I don't dare

6:33

to invest in. I stay away. But, it

6:34

doesn't mean I cannot make money from

6:36

it. Can I make Can I still make money on

6:38

Micron? Yes, but not as an investment,

6:41

but as a short-term trade. And there's a

6:43

big difference because in trading, I

6:44

don't care about fundamentals. In

6:46

trading, I don't care about uh intrinsic

6:48

value. In trading, I just look at a

6:49

price action. I enter based on a price

6:52

action.

6:53

I put a stop-loss because in trading,

6:55

it's like a one-night stand. In a

6:56

one-night stand, you need protection.

6:58

And there's a profit target. Whereas

7:00

investing, I don't have any stop-loss

7:02

because I know that it's undervalued.

7:04

You get the point? So, having said that,

7:06

interestingly, would I buy Micron? Yes,

7:09

I would as a trade, but as an

7:12

investment, it's too uncertain. And I

7:14

can't tell you that it is

7:16

undervalued because of this cyclicality,

7:19

okay?

7:20

Uh for example, if you look at the

7:22

intrinsic value over here,

7:24

you can see the way you calculate

7:26

intrinsic value

7:28

can have a wide variation. So, if you

7:31

use a discounted free cash flow model

7:33

and you believe the cash flow will

7:35

continue to grow, then yeah, Micron is

7:37

worth 249,000,

7:39

right? So, that is one extreme.

7:42

But, if you say no, it's cyclical, the

7:44

profits will drop back down, then Micron

7:46

will be worth its mean PE

7:50

uh without non-recurring income, it'll

7:52

be worth about 500 bucks, okay? So, the

7:54

Oracle value takes the more conservative

7:57

stance. And that's why the Oracle value

8:00

is 556,

8:02

which is based on the mean PE ratio, and

8:05

not based on this $200,000

8:08

that assumes that memory chips will go

8:09

up forever, all right? And that's why

8:11

based on

8:12

>> [snorts]

8:12

>> 556,

8:14

uh it is actually 57% overvalued. All

8:17

right, so again, having said that,

8:19

uh

8:20

I could still make money on Micron, but

8:22

as a trade, not an investment. So, how

8:24

would I trade Micron for example?

8:27

Okay, so if I look at Micron over here,

8:29

purely based on price action, you can

8:31

see that this is a valid trade setup,

8:35

because you can see this is what we call

8:37

a double bottom pattern, or a bear trap,

8:40

okay? So, it made a swing low, made a

8:43

lower swing low, and it closed with a

8:45

bullish candle above that swing low.

8:47

It breached the lower Bollinger bands

8:49

over there,

8:51

and the stochastics went into oversold

8:53

condition. So, based on this, there's a

8:55

probability

8:57

that the price would go up.

9:00

All right, again, this is a trade, not

9:01

an investment, because in trading,

9:04

overvalued can become even more

9:06

overvalued, right? So, we don't care

9:07

about valuation for trading. But if I

9:09

enter the trade, what would I do? I will

9:11

buy

9:13

uh here. In fact, I would have

9:16

Yeah, I could enter right there when the

9:18

market opens on Monday.

9:20

Oh, sorry, opens today on Friday, all

9:21

right? I put a stop loss here, below the

9:24

swing low. So, this is my risk, my 1R

9:27

risk, and then I will

9:30

uh take profit at about 2R, somewhere

9:33

there,

9:35

uh when it exceeds the previous high,

9:37

all right? So, again, this is a trade,

9:39

not an investment.

9:41

So, there are many stocks like like I

9:44

keep teaching my students. I say that in

9:46

the whole market

9:47

in the whole market

9:49

less than 1% of stocks

9:52

are investable.

9:55

Okay? Less than 1% are

9:58

investable. I don't know why my pen is

10:00

not writing very well, but investable.

10:03

So, these are stocks where it's very

10:05

easy to value because the earnings, the

10:07

profits are very predictable. They're

10:09

very They are compounders.

10:11

And I only invest in the 1%, okay? 99%

10:15

of stocks

10:16

are not investable. Not investable.

10:20

Because they're not that predictable and

10:22

they're very hard to value. Like

10:24

companies like SpaceX or Micron, you

10:27

know, to me these are the 99%. Not

10:29

investable, but tradeable. Can still

10:32

make a lot of money on that, but as a

10:34

one-night stand with protection and not

10:37

a long-term investment. So, that that's

10:39

the main difference between trading and

10:41

investing.

10:43

Now, on the other hand, a company like,

10:45

let's say

10:46

um

10:48

uh

10:50

Mastercard, for example. Okay? So, you

10:52

can see the difference, right? So, you

10:54

saw that Micron, the profit goes up,

10:56

goes down, goes up, goes down. That we

10:58

call that a cyclical company. All right?

11:00

Very unpredictable in the future. No one

11:01

knows what what the hell's going to

11:02

happen, right? But if you look at a

11:04

company like Mastercard, you and you

11:06

look at the financials, you can see it

11:08

is not cyclical a cyclical. Because you

11:12

can see that the profits, they

11:17

go up consistently, right? They do drop

11:20

from time to time, but generally they're

11:22

compounding upwards. So, for these kind

11:24

of stocks

11:26

yeah, it it's more investable. You you

11:28

you get the big difference there, yeah?

11:30

So, if you're wondering again, why is

11:32

Micron over priced when a P is at five,

11:36

that's the reason why, okay? So, anyway,

11:38

let's go back to our value radar.

11:42

And

11:43

yeah, so what I showed you was we click

11:45

on technology.

11:46

And you can see again what are the

11:48

undervalued technology stocks. You have

11:50

got got a Microsoft, you got Nvidia, all

11:54

right? You got Oracle, for example, but

11:56

again,

11:57

you know, I I don't just buy them

11:58

because they're undervalued.

12:00

Like Oracle is 44% undervalued, but I

12:02

wouldn't buy Oracle. I wouldn't buy

12:04

Oracle. Why wouldn't I buy Oracle?

12:06

Because

12:07

when I look at the fundamentals,

12:10

there are things that scare me. And the

12:13

main thing that scares me about Oracle

12:15

is that the debt levels are quite high.

12:18

So, for example, if I click on company

12:20

metrics over here,

12:23

and I look at the

12:25

debt ratios,

12:30

you can see that yeah, current ratio is

12:32

fine. That's like above one, okay? But

12:36

you can see debt to EBITDA ratio, this

12:39

is scary to me because their debt to

12:41

EBITDA is 4.32.

12:44

And that is very scary because to me

12:46

anytime the debt to EBITDA is more than

12:48

three, it's too dangerous for me. It's

12:51

too over leveraged. So, straight away,

12:54

fail. I avoid [snorts] I don't I don't

12:55

care how cheap it is, I avoid companies

12:58

where the debt is scary. And by the way,

13:01

if you scroll down, you can also see

13:03

in the S&P 500, you can see these are

13:06

the stocks that are very undervalued.

13:07

You click on that and they all appear

13:09

over there. Stocks that are undervalued,

13:12

click on that, they appear over here.

13:14

And in this case, the color coding here

13:17

refers to whether it's a wide moat

13:19

company. A wide is green, which means

13:22

it's got a very strong durable

13:25

competitive advantage that will protect

13:27

it from competition very much. So,

13:29

narrow moat means uh some

13:32

competitive advantages, and no moat

13:34

means that

13:36

you know, they can do very well in the

13:37

short term. Profits can go up a lot, but

13:39

long run, they can easily be uh

13:42

disrupted by competition, or they don't

13:44

have much pricing power over the long

13:46

run. That's called no moat. So, again,

13:49

for no moat companies, I will never

13:50

invest in them, but I may trade them

13:53

short term. Because short term, they can

13:55

go up a lot, but long run, it's more

13:58

uh vulnerable uh to pricing pressure or

14:01

competitive pressures, all right? And

14:03

then, these are stocks stocks that are

14:05

fairly priced over there, stocks that

14:07

are overvalued over here, and stocks

14:09

that are very overvalued over there.

14:12

So, if I click on very undervalued

14:13

again,

14:15

these are some examples you see. You see

14:17

examples like Core Part, uh Tesco, Meta,

14:20

uh Nike, ServiceNow,

14:23

uh FICO, Zoetis, and and so on and so

14:25

forth, okay? So, some of you have been

14:28

asking me about Meta. What do I think

14:29

about Meta? Uh Meta recently announced

14:31

earnings. I think earnings were very

14:32

good, but the stock dropped 9%, you

14:35

know? So, is it an opportunity, or is it

14:37

something to stay away from? Well, let's

14:39

take a closer look. So, if we click on

14:41

Meta,

14:43

uh we can see again how the stock ranks

14:47

very fast using this thing called the

14:49

Oracle IQ.

14:51

Where in terms of predictability, how

14:53

predictable are the revenue and profits?

14:56

It is very predictable. High rank high.

14:58

How about profitability? How profitable

15:00

is it? Rank high. How about growth?

15:03

Growth is medium growth. Not super high

15:06

growth, medium growth. Moat, strength of

15:10

the economic moat, very wide moat.

15:12

Financial strength, very strong

15:14

financial strength. Valuation

15:17

is high, which means it is very

15:19

undervalued. So, straight away, it gives

15:20

me a very good analysis of of the

15:24

company. [snorts]

15:25

Now, some people have asked me, "But

15:26

Adam, you know, Amazon and Meta and

15:28

Google and Microsoft and so and so

15:31

forth, they're taking on so much debt.

15:33

Their debt is so high. Aren't you scared

15:35

about all the debt?" Now, again, you

15:37

cannot look at a debt

15:39

in isolation.

15:41

You have to compare the debt

15:43

with their earnings. Okay? So, as long

15:48

as they earn a lot, they've got very

15:50

strong cash flow, and they can easily

15:52

service the debt, the company can be

15:54

very, very strong financially. So,

15:56

again, what are the ratios I look at?

15:58

Let's look at the same ratios

16:01

which I showed you just now. If I go to

16:03

company metrics,

16:06

and [snorts] let's look at Meta.

16:07

Um

16:10

and I go to debt ratio. So, for Meta,

16:11

you can see what's the current ratio.

16:14

Current ratio means the current assets

16:16

divided by current liabilities. That is

16:20

uh 2.23.

16:22

Very safe.

16:23

They've got double the current assets

16:26

versus their current liabilities. Debt

16:28

servicing ratio, zero. Very safe.

16:31

As long as the debt servicing ratio is

16:33

below 30%, safe.

16:36

What's debt servicing ratio? It is the

16:38

interest expenses, how much interest

16:40

they pay,

16:41

divided by the cash flow from

16:43

operations. Okay?

16:45

Next, interest coverage ratio should be

16:47

at least three or five or more.

16:51

Theirs is 70s. Insane. Okay? Debt to

16:55

EBITDA ratio, like I mentioned, three or

16:58

less. Their debt to EBITDA is 0.75.

17:02

What does that mean? That means they can

17:04

pay off all their debt

17:07

in 0.75 years.

17:10

So, even though you see in the headlines

17:12

in the media, "Oh, Meta is taking on so

17:14

much debt," but if you look at the

17:15

ratios, you find that it's nothing,

17:18

right? They are financially very, very

17:20

strong. Look at the ratios, look at the

17:22

numbers, don't look at the headlines and

17:24

the media

17:26

distortion, yeah? Now, the other concern

17:28

that people have with Google and Meta

17:31

and Microsoft is that recently their

17:33

free cash flow, some of them have

17:35

dropped and turned negative. People say,

17:38

"Aren't you concerned about that?" Mhm,

17:40

no. And I'll I'll tell you why, okay?

17:42

Now, if a company's free cash flow drops

17:45

and turns negative because the business

17:47

is not doing well, because revenue

17:49

dropped, cash from operations dropped,

17:51

then of course that is bad. Run away,

17:54

stay away, sell, cut loss, okay?

17:57

But, if the company's revenue is

17:58

growing, their cash flow from operations

18:01

is growing,

18:03

but free cash flow goes negative, that's

18:05

fine

18:06

because of temporary increase in CapEx,

18:10

capital expenditures, especially growth

18:11

CapEx, where they are investing for the

18:14

future. So, for example, let's take a

18:16

look at their financials.

18:18

Let's look at their financials again.

18:21

And see what I'm talking about. So, for

18:22

Meta,

18:24

you can see their revenues are growing

18:26

very consistently.

18:29

So, they're growing their their top line

18:30

revenue, that's very important. Their

18:32

net income,

18:34

you can see also growing very

18:36

consistently, yeah? Their operating cash

18:39

flow, how much cash they generate from

18:41

the business, that is also growing very

18:44

consistently.

18:46

The concern is the free cash flow. You

18:49

can see the free cash flow in dark green

18:52

uh has dropped here.

18:54

It also dropped in 2022, okay? So,

18:57

again, what caused the free cash flow to

18:59

drop?

19:00

Now, remember that, let me write this

19:02

down for you, okay? Free cash flow

19:06

is the cash flow from operations, which

19:08

is this

19:10

orange line, minus the capital

19:12

expenditure. What they're spending to

19:14

build data centers and all that, right?

19:16

So, this is going up. But, because this

19:19

goes up a lot, it causes this to go

19:22

down. Now, this going up is fine as long

19:25

as it is growth CAPEX, as long as it's

19:27

temporary.

19:29

Because

19:30

once they've built the CAPEX, then this

19:32

will drop.

19:34

And then this will explode higher. And

19:37

lead to more free cash flow in the

19:38

future because of their uh investment

19:41

today, yeah. So, that's not something

19:42

I'm concerned about at all.

19:44

So, how would I value Meta? So, again,

19:47

click on intrinsic value.

19:51

And you can see that if you value Meta

19:54

on the recent free cash flow that has

19:57

dropped, then Meta is worth 557.

20:02

And it's currently selling at 539.

20:06

Which means that even if you account for

20:08

the drop in free cash flow,

20:10

it is selling

20:12

uh below the intrinsic value of 557,

20:18

all right? But, like I said,

20:21

I will not take the recent free cash

20:22

flow.

20:23

Because the CAPEX has gone up

20:27

temporarily. So, I would use a more

20:29

normalized free cash flow. If you use a

20:32

more normalized free cash flow, then

20:34

your intrinsic value should be somewhere

20:36

close to $900.

20:38

So, the Oracle value, what it does is it

20:41

normalizes the free cash flow if there's

20:44

a sudden jump in the CAPEX. It

20:45

normalizes it, okay? So, that's how it

20:48

works. It uses an AI machine learning

20:51

algorithm to do that, yeah? So, that's

20:53

that's Meta Platforms over there.

20:55

Now, so this is one way to get great

20:57

ideas. Another way is to use the value

21:00

radar.

21:03

Oh, sorry, not the value radar. I showed

21:04

you that. It's is a screener, the stock

21:06

screener.

21:07

So, the stock screener is something

21:09

where those of you who are

21:12

who kind of like, you know, you know

21:14

what metrics you're looking for,

21:16

parameters you're looking for. Uh there

21:18

are all kinds of 400 metrics where you

21:22

can put in exactly the stock you want to

21:24

find.

21:25

Okay, so let me give you an example.

21:27

Let's say you say, "Okay,

21:29

I only want companies that have got

21:33

um

21:34

a wide moat, a wide economic moat, okay?

21:37

So, click on moat here and say I want

21:40

the moat score,

21:42

which is between 1 to 10. I want a moat

21:44

score

21:45

of at least, you know, 7 to

21:48

10.

21:50

Okay?

21:52

So, that is the first filter. What else

21:54

do you want? Um

21:57

Now, you can also click on AI moat and

21:59

just say I want a

22:02

wide moat companies, for example. I want

22:04

wide and narrow. It's up to you. But

22:06

let's say you just want to look at a

22:07

wide moat companies, companies that are

22:08

the most monopolistic, the the the

22:11

strongest competitive advantage. What

22:13

else? Uh you can then look at, uh for

22:16

example, um

22:18

Oracle IQ,

22:20

where you say, "I want companies where

22:21

the financial strength

22:23

is at least high to medium financial

22:27

strength." For example, I want companies

22:29

where their profits and revenue are

22:33

very predictable, high predictability,

22:35

high and medium, or just high. It's up

22:37

to you. It's how strict you want to be.

22:39

I want companies that are very

22:41

profitable, where the profit

22:43

profitability rank is very high, for

22:45

example.

22:47

Uh I want companies that have got growth

22:50

uh high and medium.

22:53

Whatever you want. So, this is like a la

22:55

carte, all right? You put in whatever

22:56

things that you want. You can be very

22:58

specific and say that, uh in terms of

23:00

valuation,

23:01

I want companies that

23:03

um

23:06

where the price to Oracle value, let's

23:09

look for them. What price to Oracle

23:10

value

23:12

Yeah, price to Oracle value is

23:15

uh low.

23:17

It's uh let's say below one.

23:24

So, what does this mean? This means that

23:25

you want the price to be lower than the

23:28

intrinsic value. So, zero to one, right?

23:30

More than one means it is overvalued,

23:32

for example. You can also put in your

23:34

own like, you know, PE ratio, price to

23:37

book, rule of 40, whatever you want,

23:38

right?

23:39

Uh what else? You know, you can put in

23:41

financial metrics if you want, you know,

23:43

whatever you want. It's all all here,

23:45

okay?

23:46

And then once you run the scan,

23:49

there you go. So, all the stocks will

23:52

appear

23:53

that fit

23:55

these criterias. And you can sort them

23:57

out. You can say, let me sort them out

23:59

by

24:00

uh

24:02

price to Oracle value over here. So, the

24:04

most

24:05

uh undervalued

24:07

to the most overvalued here.

24:10

Okay? I can sort it by growth.

24:14

So, the highest growth

24:17

would be Eli Lilly.

24:19

And then second highest Nvidia. Third

24:21

would be Broadcom. And then uh you have

24:24

got AS

24:26

MIY. ASM International. It's not ASML.

24:29

It's a different company, right? Uh

24:31

AIPUY. This Airports of Thailand. All

24:34

right, so some foreign companies are in

24:35

there, you know, right? So, this is ala

24:37

carte. Now, there's also kind of like uh

24:40

set dinner. All right, set lunch. Where

24:43

you go to

24:44

uh screener, go to screening ideas.

24:47

You say, I don't want ala carte. I want

24:48

you to tell me

24:50

um some set meals. And you said, okay, I

24:53

want to invest in

24:55

uh high-quality compounding companies.

24:58

These are top tier white mode businesses

25:01

with high historical profitability and

25:04

consistent growth metrics. So, run the

25:06

scan.

25:10

And there we are. It's all here, right?

25:12

And you you going to get you can sort it

25:13

by um, you can sort it by growth.

25:19

And again, you get the same list, right?

25:20

Eli Lilly, Nvidia, you got um,

25:23

Anyang Pharmaceutical, Google, Broadcom,

25:26

Palantir, Airbnb, Microsoft, ResMed,

25:28

Hershey's, and so and so forth. Okay?

25:31

Um,

25:35

and some of you may say, "I want to only

25:37

focus on

25:39

uh, speculative growth stocks." Then,

25:41

run the scan. "I only want to focus on

25:44

defensive recession-proof companies."

25:46

Run the scan. "I want to focus on fallen

25:48

angels, companies that have uh, who are

25:50

great, but have dropped because of

25:52

temporary problems." Uh, "I want to scan

25:55

companies that Peter Lynch would buy."

25:57

"I want to scan companies that Warren

25:59

Buffett would buy based on their

26:01

philosophy, based on their rules." It

26:04

would find you these companies. So, once

26:06

you get that investment idea, or once I

26:08

get that investment idea, I would then

26:10

look at the charts to look for optimal

26:12

entry and uh, exit points. So, for

26:15

example, to me, Meta is one of the

26:18

highest conviction opportunities I see

26:20

in the market today. Now, uh,

26:22

disclaimer, I already own a lot of Meta,

26:24

which I bought years ago at very low

26:26

prices, but I've been still adding a bit

26:29

more because I think that uh, yeah,

26:32

yeah, it's it's a pretty good risk to

26:33

reward here. I'm not recommending you

26:35

buy. I'm just sharing this with you for

26:36

educational purposes, to share my

26:38

thought process. So, if you look at

26:40

Meta, for example, again, the intrinsic

26:43

value is um,

26:45

uh, $900. Right now, selling at 539, so

26:48

significantly undervalued. And you can

26:50

see the price action, right? Wave up,

26:52

wave down, wave up, wave down, wave up,

26:54

wave down, wave up, wave down, wave up,

26:56

wave down. So, it's more or less been

26:59

trading in this range, right? It's more

27:02

or less in this range.

27:04

And then, yesterday it dropped to this

27:07

support level there.

27:09

532 support level. And but it's not

27:12

really yet oversold on the stochastics,

27:14

but that's not too important in

27:16

investing, right? We're more interested

27:18

in undervalued at a support level.

27:21

Nothing wrong for me to add more at the

27:24

support level. Of course, no guarantee

27:26

it cannot go lower. It can, all right?

27:28

In the short term, we can't always

27:31

predict manipulation or sentiment. But

27:34

more or less, if we, or rather if I

27:38

add at these support levels, I've got a

27:39

pretty good risk-reward because

27:41

eventually

27:43

it will rebound higher. Whether it's

27:44

from here or lower down, it will rebound

27:47

higher. All right? So, I hope this has

27:49

been useful to show you that, yeah, in

27:51

any market, there are great companies,

27:53

and this tool can help you to find them

27:55

a lot faster. Thank you for watching,

27:57

and may the markets be with you.

Interactive Summary

The video outlines a systematic approach to identifying and evaluating investment opportunities in any market environment. The speaker emphasizes prioritizing company quality over valuation, using tools to filter for high-quality, investable stocks while cautioning against cyclical companies and excessive debt. The speaker demonstrates how to differentiate between long-term investments and short-term trading opportunities using the 'Stock Oracle' tool and technical analysis, specifically highlighting Meta Platforms as a high-conviction opportunity.

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