How to Pick Winning Stocks (The Simple Way) by Adam Khoo
733 segments
Well, people always ask me, how do I
find great investment opportunities in
today's market? Now, remember that
whatever the market is, the index, even
at all-time highs, there are great
companies selling at reasonable prices
or at discounts. There are
opportunities. You just have to know how
to, you know, find them and drill into
them. So, we're going to show you how I
look for great stock ideas every single
day. And I'm going to show you how I do
it with a Stock Oracle, which I think
most of you have subscribed for. And
there's there's a few ways you can do
it. The first thing you can do is
uh you go to what we call the Value
Radar. And this shows you a whole heat
map of the S&P 500,
the US market. So, this are all the 500
companies, and you can always look at
them based on their discount or premium
to intrinsic value, and how they have
done for the last 1 day, the last 1
week, the last 1 month, the last 3
months,
so and so forth, right? So, for example,
if you take a look at year-to-date, all
right? Year-to-date, um where
which have been the best performers
year-to-date? So, you can see straight
away, best performance would be Apple.
Apple's up 24% this year, Microsoft's
down 18% this year, Google up 7% this
year, Amazon down 1% this year, JP
Morgan up 8%, so and so forth.
But, this is not really useful. It tells
us how it performed in the past. Who
cares about the past? We want to know
how it's going to perform in the future,
right? So, um let me go to this here
that tells me which ones are uh
overvalued at a premium and which are
undervalued at a discount, okay? So, uh
when you see
a minus means discount to intrinsic
value, and plus means above intrinsic
value. And of course, discount would be
more green,
and overvalued would be more red when I
look at this. So, straight away when I
look at the whole market, where do I see
some undervalued companies? Again,
I don't just
buy stocks because they're cheap,
because cheap crap is still crap. They
must be high quality, then I look for
valuation. So, quality is always the
priority. The valuation is always
secondary, okay? So, straight away,
which stocks stand out that are
undervalued, that are of high quality?
And you've got Nvidia. Nvidia is 10%
below intrinsic value.
Microsoft, 18% below intrinsic value,
even with yesterday's pop, you know?
Meta, 40% undervalued.
Where else? Now, some of these are quite
small. So, what you could do is you can
actually zoom in to a particular sector.
For example, if I just click on
technology, you can see these are all
the technology stocks. Now, for example,
you can see Micron is 57% overvalued.
Now, some people they don't understand,
they say, "How can it be? Micron the PE
ratio is so low. How can it be
overvalued?" They don't understand,
right? So, maybe I'll talk a bit about
this, because this is a very common
question that I get. How can Micron be
so overvalued? So, let me explain. Now,
first of all, understand that PE ratio
doesn't work for all kinds of companies,
okay? They only work for certain kind of
companies, and Micron is one of those
companies which are what we call very
cyclical. Now, what does cyclical mean?
Cyclical means their profits
historically don't go up consistently.
Their profits go up a lot, they go down,
go up, so it's very, very cyclical. So,
for example, let's look at their
financials. So, we're going to click on
financials, and you can see what I'm
talking about.
Um
there we are, right? So, take a look at
the uh net
income.
Now, remember how is PE ratio
calculated?
PE is the share price today
divided by the earnings per share.
Earnings per share comes from the net
profit divided by number of shares.
So, Micron is a company where look at
the profit. It it goes up, it goes down,
it goes up, it goes down all the way,
goes up, all right? So, you can see it's
very cyclical. Now, it's here because
there's a big demand for their memory
chips and because of lack of supply, the
prices are very high.
Now, the question is is this
sustainable?
So, some people say that Micron is no
longer cyclical, that for the rest of
the future, it will keep going up.
Now, if that is true, then yes, Micron
is very cheap right now. Very cheap, if
if that's true.
But,
if it turns out that memory is actually
cyclical, then this will not last, which
means once the oversupply, or rather the
undersupply is over and there's an
oversupply, and memory chip prices go
down, what's going to happen to this
profit? This profit is going to drop
back down
to here
as it has been
since its history, okay?
And the problem with cyclical stocks is
when the profits are very high. Like
now, the profits are very high. When
this becomes very high, what happens to
the PE? The PE becomes very very low.
Okay? So, if you look at Micron today,
what's the PE? The PE ratio is
um
you can see the forward PE is 5.6.
So, people think, "My god, that is
really really cheap, right?"
But, again, the problem is that because
the earnings are so high, it causes us
PE to drop to 5.6 forward P/E. So, that
looks cheap,
but it's an illusion.
Because these this profit is not
sustainable. So, once this profit if the
profit drops, this goes down the P/E
from 5.6 would shoot up back to like 30
P/E.
You get the point? So, you got to be
very careful about these situations.
Now, again, um
the question again with Micron is this,
is are the earnings going to be
sustainable? Are they going to keep
going up for the next 10 years? Or are
they going to come back down again?
Honestly, I don't know. I really don't
know. And people are divided because
they're not sure how sustainable
are these memory chip demand and and
prices. So, for me, very simple, when
I'm not sure of something, I don't dare
to invest in. I stay away. But, it
doesn't mean I cannot make money from
it. Can I make Can I still make money on
Micron? Yes, but not as an investment,
but as a short-term trade. And there's a
big difference because in trading, I
don't care about fundamentals. In
trading, I don't care about uh intrinsic
value. In trading, I just look at a
price action. I enter based on a price
action.
I put a stop-loss because in trading,
it's like a one-night stand. In a
one-night stand, you need protection.
And there's a profit target. Whereas
investing, I don't have any stop-loss
because I know that it's undervalued.
You get the point? So, having said that,
interestingly, would I buy Micron? Yes,
I would as a trade, but as an
investment, it's too uncertain. And I
can't tell you that it is
undervalued because of this cyclicality,
okay?
Uh for example, if you look at the
intrinsic value over here,
you can see the way you calculate
intrinsic value
can have a wide variation. So, if you
use a discounted free cash flow model
and you believe the cash flow will
continue to grow, then yeah, Micron is
worth 249,000,
right? So, that is one extreme.
But, if you say no, it's cyclical, the
profits will drop back down, then Micron
will be worth its mean PE
uh without non-recurring income, it'll
be worth about 500 bucks, okay? So, the
Oracle value takes the more conservative
stance. And that's why the Oracle value
is 556,
which is based on the mean PE ratio, and
not based on this $200,000
that assumes that memory chips will go
up forever, all right? And that's why
based on
>> [snorts]
>> 556,
uh it is actually 57% overvalued. All
right, so again, having said that,
uh
I could still make money on Micron, but
as a trade, not an investment. So, how
would I trade Micron for example?
Okay, so if I look at Micron over here,
purely based on price action, you can
see that this is a valid trade setup,
because you can see this is what we call
a double bottom pattern, or a bear trap,
okay? So, it made a swing low, made a
lower swing low, and it closed with a
bullish candle above that swing low.
It breached the lower Bollinger bands
over there,
and the stochastics went into oversold
condition. So, based on this, there's a
probability
that the price would go up.
All right, again, this is a trade, not
an investment, because in trading,
overvalued can become even more
overvalued, right? So, we don't care
about valuation for trading. But if I
enter the trade, what would I do? I will
buy
uh here. In fact, I would have
Yeah, I could enter right there when the
market opens on Monday.
Oh, sorry, opens today on Friday, all
right? I put a stop loss here, below the
swing low. So, this is my risk, my 1R
risk, and then I will
uh take profit at about 2R, somewhere
there,
uh when it exceeds the previous high,
all right? So, again, this is a trade,
not an investment.
So, there are many stocks like like I
keep teaching my students. I say that in
the whole market
in the whole market
less than 1% of stocks
are investable.
Okay? Less than 1% are
investable. I don't know why my pen is
not writing very well, but investable.
So, these are stocks where it's very
easy to value because the earnings, the
profits are very predictable. They're
very They are compounders.
And I only invest in the 1%, okay? 99%
of stocks
are not investable. Not investable.
Because they're not that predictable and
they're very hard to value. Like
companies like SpaceX or Micron, you
know, to me these are the 99%. Not
investable, but tradeable. Can still
make a lot of money on that, but as a
one-night stand with protection and not
a long-term investment. So, that that's
the main difference between trading and
investing.
Now, on the other hand, a company like,
let's say
um
uh
Mastercard, for example. Okay? So, you
can see the difference, right? So, you
saw that Micron, the profit goes up,
goes down, goes up, goes down. That we
call that a cyclical company. All right?
Very unpredictable in the future. No one
knows what what the hell's going to
happen, right? But if you look at a
company like Mastercard, you and you
look at the financials, you can see it
is not cyclical a cyclical. Because you
can see that the profits, they
go up consistently, right? They do drop
from time to time, but generally they're
compounding upwards. So, for these kind
of stocks
yeah, it it's more investable. You you
you get the big difference there, yeah?
So, if you're wondering again, why is
Micron over priced when a P is at five,
that's the reason why, okay? So, anyway,
let's go back to our value radar.
And
yeah, so what I showed you was we click
on technology.
And you can see again what are the
undervalued technology stocks. You have
got got a Microsoft, you got Nvidia, all
right? You got Oracle, for example, but
again,
you know, I I don't just buy them
because they're undervalued.
Like Oracle is 44% undervalued, but I
wouldn't buy Oracle. I wouldn't buy
Oracle. Why wouldn't I buy Oracle?
Because
when I look at the fundamentals,
there are things that scare me. And the
main thing that scares me about Oracle
is that the debt levels are quite high.
So, for example, if I click on company
metrics over here,
and I look at the
debt ratios,
you can see that yeah, current ratio is
fine. That's like above one, okay? But
you can see debt to EBITDA ratio, this
is scary to me because their debt to
EBITDA is 4.32.
And that is very scary because to me
anytime the debt to EBITDA is more than
three, it's too dangerous for me. It's
too over leveraged. So, straight away,
fail. I avoid [snorts] I don't I don't
care how cheap it is, I avoid companies
where the debt is scary. And by the way,
if you scroll down, you can also see
in the S&P 500, you can see these are
the stocks that are very undervalued.
You click on that and they all appear
over there. Stocks that are undervalued,
click on that, they appear over here.
And in this case, the color coding here
refers to whether it's a wide moat
company. A wide is green, which means
it's got a very strong durable
competitive advantage that will protect
it from competition very much. So,
narrow moat means uh some
competitive advantages, and no moat
means that
you know, they can do very well in the
short term. Profits can go up a lot, but
long run, they can easily be uh
disrupted by competition, or they don't
have much pricing power over the long
run. That's called no moat. So, again,
for no moat companies, I will never
invest in them, but I may trade them
short term. Because short term, they can
go up a lot, but long run, it's more
uh vulnerable uh to pricing pressure or
competitive pressures, all right? And
then, these are stocks stocks that are
fairly priced over there, stocks that
are overvalued over here, and stocks
that are very overvalued over there.
So, if I click on very undervalued
again,
these are some examples you see. You see
examples like Core Part, uh Tesco, Meta,
uh Nike, ServiceNow,
uh FICO, Zoetis, and and so on and so
forth, okay? So, some of you have been
asking me about Meta. What do I think
about Meta? Uh Meta recently announced
earnings. I think earnings were very
good, but the stock dropped 9%, you
know? So, is it an opportunity, or is it
something to stay away from? Well, let's
take a closer look. So, if we click on
Meta,
uh we can see again how the stock ranks
very fast using this thing called the
Oracle IQ.
Where in terms of predictability, how
predictable are the revenue and profits?
It is very predictable. High rank high.
How about profitability? How profitable
is it? Rank high. How about growth?
Growth is medium growth. Not super high
growth, medium growth. Moat, strength of
the economic moat, very wide moat.
Financial strength, very strong
financial strength. Valuation
is high, which means it is very
undervalued. So, straight away, it gives
me a very good analysis of of the
company. [snorts]
Now, some people have asked me, "But
Adam, you know, Amazon and Meta and
Google and Microsoft and so and so
forth, they're taking on so much debt.
Their debt is so high. Aren't you scared
about all the debt?" Now, again, you
cannot look at a debt
in isolation.
You have to compare the debt
with their earnings. Okay? So, as long
as they earn a lot, they've got very
strong cash flow, and they can easily
service the debt, the company can be
very, very strong financially. So,
again, what are the ratios I look at?
Let's look at the same ratios
which I showed you just now. If I go to
company metrics,
and [snorts] let's look at Meta.
Um
and I go to debt ratio. So, for Meta,
you can see what's the current ratio.
Current ratio means the current assets
divided by current liabilities. That is
uh 2.23.
Very safe.
They've got double the current assets
versus their current liabilities. Debt
servicing ratio, zero. Very safe.
As long as the debt servicing ratio is
below 30%, safe.
What's debt servicing ratio? It is the
interest expenses, how much interest
they pay,
divided by the cash flow from
operations. Okay?
Next, interest coverage ratio should be
at least three or five or more.
Theirs is 70s. Insane. Okay? Debt to
EBITDA ratio, like I mentioned, three or
less. Their debt to EBITDA is 0.75.
What does that mean? That means they can
pay off all their debt
in 0.75 years.
So, even though you see in the headlines
in the media, "Oh, Meta is taking on so
much debt," but if you look at the
ratios, you find that it's nothing,
right? They are financially very, very
strong. Look at the ratios, look at the
numbers, don't look at the headlines and
the media
distortion, yeah? Now, the other concern
that people have with Google and Meta
and Microsoft is that recently their
free cash flow, some of them have
dropped and turned negative. People say,
"Aren't you concerned about that?" Mhm,
no. And I'll I'll tell you why, okay?
Now, if a company's free cash flow drops
and turns negative because the business
is not doing well, because revenue
dropped, cash from operations dropped,
then of course that is bad. Run away,
stay away, sell, cut loss, okay?
But, if the company's revenue is
growing, their cash flow from operations
is growing,
but free cash flow goes negative, that's
fine
because of temporary increase in CapEx,
capital expenditures, especially growth
CapEx, where they are investing for the
future. So, for example, let's take a
look at their financials.
Let's look at their financials again.
And see what I'm talking about. So, for
Meta,
you can see their revenues are growing
very consistently.
So, they're growing their their top line
revenue, that's very important. Their
net income,
you can see also growing very
consistently, yeah? Their operating cash
flow, how much cash they generate from
the business, that is also growing very
consistently.
The concern is the free cash flow. You
can see the free cash flow in dark green
uh has dropped here.
It also dropped in 2022, okay? So,
again, what caused the free cash flow to
drop?
Now, remember that, let me write this
down for you, okay? Free cash flow
is the cash flow from operations, which
is this
orange line, minus the capital
expenditure. What they're spending to
build data centers and all that, right?
So, this is going up. But, because this
goes up a lot, it causes this to go
down. Now, this going up is fine as long
as it is growth CAPEX, as long as it's
temporary.
Because
once they've built the CAPEX, then this
will drop.
And then this will explode higher. And
lead to more free cash flow in the
future because of their uh investment
today, yeah. So, that's not something
I'm concerned about at all.
So, how would I value Meta? So, again,
click on intrinsic value.
And you can see that if you value Meta
on the recent free cash flow that has
dropped, then Meta is worth 557.
And it's currently selling at 539.
Which means that even if you account for
the drop in free cash flow,
it is selling
uh below the intrinsic value of 557,
all right? But, like I said,
I will not take the recent free cash
flow.
Because the CAPEX has gone up
temporarily. So, I would use a more
normalized free cash flow. If you use a
more normalized free cash flow, then
your intrinsic value should be somewhere
close to $900.
So, the Oracle value, what it does is it
normalizes the free cash flow if there's
a sudden jump in the CAPEX. It
normalizes it, okay? So, that's how it
works. It uses an AI machine learning
algorithm to do that, yeah? So, that's
that's Meta Platforms over there.
Now, so this is one way to get great
ideas. Another way is to use the value
radar.
Oh, sorry, not the value radar. I showed
you that. It's is a screener, the stock
screener.
So, the stock screener is something
where those of you who are
who kind of like, you know, you know
what metrics you're looking for,
parameters you're looking for. Uh there
are all kinds of 400 metrics where you
can put in exactly the stock you want to
find.
Okay, so let me give you an example.
Let's say you say, "Okay,
I only want companies that have got
um
a wide moat, a wide economic moat, okay?
So, click on moat here and say I want
the moat score,
which is between 1 to 10. I want a moat
score
of at least, you know, 7 to
10.
Okay?
So, that is the first filter. What else
do you want? Um
Now, you can also click on AI moat and
just say I want a
wide moat companies, for example. I want
wide and narrow. It's up to you. But
let's say you just want to look at a
wide moat companies, companies that are
the most monopolistic, the the the
strongest competitive advantage. What
else? Uh you can then look at, uh for
example, um
Oracle IQ,
where you say, "I want companies where
the financial strength
is at least high to medium financial
strength." For example, I want companies
where their profits and revenue are
very predictable, high predictability,
high and medium, or just high. It's up
to you. It's how strict you want to be.
I want companies that are very
profitable, where the profit
profitability rank is very high, for
example.
Uh I want companies that have got growth
uh high and medium.
Whatever you want. So, this is like a la
carte, all right? You put in whatever
things that you want. You can be very
specific and say that, uh in terms of
valuation,
I want companies that
um
where the price to Oracle value, let's
look for them. What price to Oracle
value
Yeah, price to Oracle value is
uh low.
It's uh let's say below one.
So, what does this mean? This means that
you want the price to be lower than the
intrinsic value. So, zero to one, right?
More than one means it is overvalued,
for example. You can also put in your
own like, you know, PE ratio, price to
book, rule of 40, whatever you want,
right?
Uh what else? You know, you can put in
financial metrics if you want, you know,
whatever you want. It's all all here,
okay?
And then once you run the scan,
there you go. So, all the stocks will
appear
that fit
these criterias. And you can sort them
out. You can say, let me sort them out
by
uh
price to Oracle value over here. So, the
most
uh undervalued
to the most overvalued here.
Okay? I can sort it by growth.
So, the highest growth
would be Eli Lilly.
And then second highest Nvidia. Third
would be Broadcom. And then uh you have
got AS
MIY. ASM International. It's not ASML.
It's a different company, right? Uh
AIPUY. This Airports of Thailand. All
right, so some foreign companies are in
there, you know, right? So, this is ala
carte. Now, there's also kind of like uh
set dinner. All right, set lunch. Where
you go to
uh screener, go to screening ideas.
You say, I don't want ala carte. I want
you to tell me
um some set meals. And you said, okay, I
want to invest in
uh high-quality compounding companies.
These are top tier white mode businesses
with high historical profitability and
consistent growth metrics. So, run the
scan.
And there we are. It's all here, right?
And you you going to get you can sort it
by um, you can sort it by growth.
And again, you get the same list, right?
Eli Lilly, Nvidia, you got um,
Anyang Pharmaceutical, Google, Broadcom,
Palantir, Airbnb, Microsoft, ResMed,
Hershey's, and so and so forth. Okay?
Um,
and some of you may say, "I want to only
focus on
uh, speculative growth stocks." Then,
run the scan. "I only want to focus on
defensive recession-proof companies."
Run the scan. "I want to focus on fallen
angels, companies that have uh, who are
great, but have dropped because of
temporary problems." Uh, "I want to scan
companies that Peter Lynch would buy."
"I want to scan companies that Warren
Buffett would buy based on their
philosophy, based on their rules." It
would find you these companies. So, once
you get that investment idea, or once I
get that investment idea, I would then
look at the charts to look for optimal
entry and uh, exit points. So, for
example, to me, Meta is one of the
highest conviction opportunities I see
in the market today. Now, uh,
disclaimer, I already own a lot of Meta,
which I bought years ago at very low
prices, but I've been still adding a bit
more because I think that uh, yeah,
yeah, it's it's a pretty good risk to
reward here. I'm not recommending you
buy. I'm just sharing this with you for
educational purposes, to share my
thought process. So, if you look at
Meta, for example, again, the intrinsic
value is um,
uh, $900. Right now, selling at 539, so
significantly undervalued. And you can
see the price action, right? Wave up,
wave down, wave up, wave down, wave up,
wave down, wave up, wave down, wave up,
wave down. So, it's more or less been
trading in this range, right? It's more
or less in this range.
And then, yesterday it dropped to this
support level there.
532 support level. And but it's not
really yet oversold on the stochastics,
but that's not too important in
investing, right? We're more interested
in undervalued at a support level.
Nothing wrong for me to add more at the
support level. Of course, no guarantee
it cannot go lower. It can, all right?
In the short term, we can't always
predict manipulation or sentiment. But
more or less, if we, or rather if I
add at these support levels, I've got a
pretty good risk-reward because
eventually
it will rebound higher. Whether it's
from here or lower down, it will rebound
higher. All right? So, I hope this has
been useful to show you that, yeah, in
any market, there are great companies,
and this tool can help you to find them
a lot faster. Thank you for watching,
and may the markets be with you.
Ask follow-up questions or revisit key timestamps.
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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