TOM LEE: "BUY THESE 6 STOCKS IN 2024 AND NEVER WORK AGAIN"

Tom Nash
1 Oct 202414:21

Summary

TLDRIn this video, the speaker discusses Tom Lee's recommendation of six stocks for 2024: Nvidia, Meta, Uber, Tesla, Eli Lilly, and Palantir. The speaker evaluates each stock using a 10-point system based on metrics like revenue growth, net margins, and PE ratio. Nvidia and Meta scored the highest, with Meta nearly acing the test. Uber and Eli Lilly performed poorly due to high debt and inflated PE ratios. The speaker also emphasizes the importance of long-term investing, using dollar-cost averaging, and maintaining discipline to achieve financial success.

Takeaways

  • 🚀 Tom Lee, a prominent analyst, has released a list of six stocks he recommends for 2024: Nvidia, Meta, Uber, Tesla, Palantir, and Eli Lilly.
  • 📊 The speaker applies a 10-point rating system to assess stocks based on criteria like revenue growth, net margin, cash increase, institutional shareholding, and price-to-earnings (PE) ratio.
  • 🥇 Meta scored the highest in the analysis with a 95/100, due to its strong fundamentals, scalability, and reasonable PE ratio.
  • 💼 Nvidia scored 90/100, mostly penalized for having a high PE ratio, but it still ranks among the top due to strong revenue growth and financials.
  • ⚡ Tesla and Palantir both scored 85/100, missing the 90+ range due to slightly lower institutional shareholding and high PE ratios.
  • 📉 Uber and Eli Lilly did poorly in the analysis, with Uber scoring 65/100 and Eli Lilly being the lowest performer, primarily due to weak fundamentals like debt levels and high PE ratios.
  • 💰 The speaker emphasizes that while hype can drive stock prices in the short term, long-term success is tied to fundamentals, which is why Uber and Eli Lilly are not recommended.
  • 📈 The speaker prefers investing in Tesla and Palantir despite Meta and Nvidia having higher scores, as these stocks offer greater potential upside due to their market caps being relatively lower.
  • ⏳ The strategy discussed involves consistent monthly investments, doubling down when the stock price drops 20% below the 52-week high.
  • 👥 The speaker recommends joining a support group or community to help maintain emotional discipline in long-term investing, highlighting the importance of patience in wealth building.

Q & A

  • What are the six stocks mentioned in the video for potential investment in 2024?

    -The six stocks mentioned are Nvidia, Meta, Uber, Tesla, Eli Lilly, and Palantir.

  • What evaluation system does the speaker use to analyze these stocks?

    -The speaker uses a 10-point evaluation system with ten criteria, each having a perfect score of 10. The criteria include revenue growth, net margins, cash increase, assets vs liabilities, cash vs debt, short interest, institutional shareholding, scalability, investor returns since IPO, and price-to-earnings ratio (PE).

  • Which stock scored the highest on the evaluation, and what was its score?

    -Meta scored the highest on the evaluation, receiving a score of 95. It excelled in all areas except for the price-to-earnings ratio (PE), which was 28, leading to a slightly lower score in that category.

  • Why did Nvidia not receive a perfect score in the evaluation?

    -Nvidia scored a 90 because its price-to-earnings (PE) ratio is currently above 30 (at 60), which lowered its score. However, it performed well in other categories.

  • What reasons were given for excluding Uber and Eli Lilly from strong recommendations?

    -Uber and Eli Lilly were excluded due to weaker fundamentals. Uber scored 65 due to its high PE of 80, more debt than cash, and reducing cash flow. Eli Lilly scored the lowest, with a PE of 108, more debt than cash, and reducing cash, making it less attractive despite the hype.

  • What strategy does the speaker recommend for long-term investing?

    -The speaker recommends using a system of dollar-cost averaging (DCA), where you buy a fixed amount of stock every month regardless of price. Additionally, they suggest doubling down when a stock's price drops 20% below its 52-week high, ensuring an average price closer to the bottom without trying to time the market.

  • Why does the speaker have a larger portfolio allocation in Tesla and Palantir compared to Nvidia and Meta?

    -The speaker believes Tesla and Palantir have greater potential for growth relative to their market capitalization. For example, Palantir, currently valued at $80 billion, has a higher chance of growing to $800 billion compared to Nvidia growing from $3 trillion to $30 trillion. This potential for larger returns makes Tesla and Palantir more attractive for his portfolio.

  • How does the speaker view the short-term stock market movements?

    -The speaker believes that short-term stock market movements are driven by psychology, trends, and media, which often have little to do with fundamentals. As a result, they emphasize not being swayed by short-term fluctuations and instead focusing on long-term fundamentals.

  • What does the speaker suggest investors should do when a stock drops below a certain price threshold?

    -The speaker recommends doubling down on stocks when their price drops 20% below the 52-week high. For example, for Tesla, the trigger price is $216, for Palantir it's $30, for Nvidia it's $112, and for Meta it's $460.

  • What advice does the speaker give to investors who have already bought 'bad' or underperforming stocks?

    -The speaker advises investors to identify the 'garbage' stocks in their portfolio and remove them. They suggest watching a separate video on how to analyze and eliminate underperforming stocks without making costly mistakes.

Outlines

00:00

💥 Tom Lee's Six Stock Picks for 2024

Tom Lee, a top analyst, has shared six stocks that he believes can turn investors into millionaires in 2024. These stocks include Nvidia, Meta, Uber, Tesla, Eli Lilly, and Palantir. The video presents this list upfront and promises to analyze each stock further, revealing which ones are truly solid and which are overhyped. The speaker encourages viewers to stay and learn how to assess stocks using a scoring system based on various factors like revenue growth, margins, cash reserves, and more.

05:01

📝 Scoring System Breakdown for Stock Evaluation

The speaker introduces a 10-point scoring system to evaluate each stock. Factors include revenue growth, net margins, cash reserves, institutional shareholding, and price-to-earnings (PE) ratio. Each factor is scored, with the highest possible total score being 100. The analysis aims to show viewers how to apply this method to any stock. Using this system, Nvidia, Tesla, and Palantir scored highly, with Meta achieving a near-perfect score. On the other hand, Uber and Eli Lilly failed to meet expectations, falling short on key financial metrics.

10:01

📈 Meta and Nvidia Lead, But Uber and Eli Lilly Fall Short

Meta scored the highest at 95, followed by Nvidia at 90, Tesla and Palantir tied at 85, and Uber and Eli Lilly scored much lower. Uber's high PE ratio and negative cash flow raise red flags, while Eli Lilly's massive PE of 108 is deemed unsustainable. Despite the hype, these two stocks don’t have the fundamentals to support their market values. However, the speaker emphasizes that this system doesn’t account for short-term market trends, which could still lead to gains for Uber and Eli Lilly, even if fundamentals are lacking.

🤑 Why Tesla and Palantir Dominate the Speaker's Portfolio

While Meta and Nvidia performed well in the evaluation, the speaker's portfolio is heavily weighted towards Tesla and Palantir. The reasoning is that these two companies have more room for growth compared to Meta and Nvidia, which already have enormous market caps. The potential upside for Tesla and Palantir is seen as greater, especially given Palantir's current $80 billion valuation. The speaker also holds 40% of the portfolio in the S&P 500 as a safety net, believing strongly in the strength of the U.S. economy.

🛒 Timing the Market: The Speaker's Buying Strategy

The speaker advises against waiting for a market pullback, arguing that timing the market is unpredictable. Instead, they advocate for a dollar-cost averaging (DCA) strategy, buying a set amount of stock each month. When stock prices fall 20% below their 52-week highs, they double down on their purchases. Current thresholds for doubling down include Nvidia at $112, Tesla at $216, and Meta at $460. The approach is based on consistency and long-term conviction in the companies, ignoring short-term news or market fluctuations.

⏳ Patience: The Key to Long-Term Wealth

The speaker emphasizes Warren Buffett’s philosophy of getting rich slowly. Their system requires patience, as it may take 3-5 years for investments to fully materialize. Many investors fail because they lack the patience and discipline to stick with a long-term strategy. The speaker also highlights the importance of a support system to avoid emotional decision-making. They invite viewers to join their community for guidance and support, noting that this approach works as long as investors maintain conviction and monitor their companies’ fundamentals over time.

🚨 Limited Offer: Join the Academy Before Prices Rise

The speaker promotes their investment academy, offering membership at a discounted price of $35 before it rises to $99 on October 1st. They stress that the lower price is temporary due to overwhelming demand, with nearly 6,000 members signed up. The academy offers support, education, and community to help members stay disciplined in their investing. For those with underperforming stocks, the speaker directs them to a video on how to identify and eliminate 'garbage' stocks from their portfolios, ensuring they only keep high-quality investments.

Mindmap

Keywords

💡Analyst

An analyst in the context of the video refers to a professional who examines financial data to predict trends and make recommendations for investments. Tom Lee, mentioned in the script, is an example of a successful analyst who has provided a list of stocks to buy. The role of an analyst is crucial as they guide investors in making informed decisions based on their research and expertise.

💡Stocks

Stocks are shares in the ownership of a company. The video discusses a list of six stocks recommended by an analyst for potential investment in 2024. Stocks are the primary focus of the video, as they represent the assets that viewers are encouraged to consider buying for potential long-term gains.

💡Investment

Investment in the video refers to the act of putting money into stocks with the expectation of making a profit. The script encourages viewers to invest in the recommended stocks, highlighting the potential for these investments to yield significant returns over time.

💡Revenue Growth

Revenue growth is a key financial metric that indicates a company's ability to increase its income over time. In the script, revenue growth is one of the criteria used to evaluate the potential of the recommended stocks. A company with consistent revenue growth is often seen as a strong investment opportunity.

💡Net Margin

Net margin, also known as net profit margin, is a measure of profitability that shows how much profit a company makes for each dollar of revenue. The video uses net margin as a criterion for stock evaluation, with a higher percentage indicating a more profitable company.

💡Cash Increase

Cash increase refers to the growth in a company's cash reserves over time. The video script mentions this as an important factor in evaluating a company's financial health. A company that increases its cash reserves is typically seen as more stable and potentially a better investment.

💡Short Interest

Short interest in the context of the video refers to the number of shares that have been sold short but have not yet been covered or closed out. It is used as an indicator of market sentiment. A high short interest can suggest that investors are betting against a stock, which could be a factor in the video's analysis of investment potential.

💡Institutional Shareholding

Institutional shareholding refers to the percentage of a company's shares that are owned by large institutions like mutual funds, pension funds, and insurance companies. In the video, a higher percentage of institutional shareholding is seen as a positive sign, indicating confidence in the company by professional investors.

💡Scalability

Scalability in the video refers to a company's ability to grow effectively as it increases its operations. The script mentions scalability as a criterion for evaluating stocks, suggesting that companies that can scale efficiently are more likely to succeed and provide returns to investors.

💡Price to Earnings Ratio (PE)

The Price to Earnings Ratio (PE) is a valuation ratio of a company's current share price compared to its per-share earnings. It is used in the video to assess whether a stock is overvalued or undervalued. A lower PE ratio is generally preferred, as it suggests the stock is cheaper relative to its earnings.

💡Disciplined Investing

Disciplined investing, as discussed in the video, involves following a systematic approach to investing, such as regularly buying stocks regardless of market conditions. This strategy is advocated as a way to avoid emotional decision-making and to potentially achieve long-term investment goals.

Highlights

Tom Lee, a well-known analyst, shares six stocks to invest in for 2024 that could yield significant profits: Nvidia, Meta, Uber, Tesla, Eli Lilly, and Palantir.

The video emphasizes transparency by providing the stock list upfront before diving into the analysis, promising not to waste viewers' time.

Tom Lee's approach to stock analysis includes a 10-point grading system with criteria such as revenue growth, net margin, cash increase, assets vs liabilities, institutional shareholding, and price-to-earnings ratio (PE).

The grading system gives perfect scores for companies with PE ratios under 10 and downgrades those above 30, with Nvidia scoring high but not perfect due to a PE of 60.

Nvidia receives a score of 90, Tesla 85, and Palantir 85. Despite their high marks, none scored a perfect 100 due to minor shortcomings like PE and institutional shareholding thresholds.

Meta stands out with the highest score of 95, thanks to its excellent performance across all categories, including revenue growth, margin, cash increase, and scalability since IPO.

Two companies, Uber and Eli Lilly, performed poorly on the test, scoring 65 and 55 respectively, with issues in net margin, debt, and liabilities outweighing assets.

Uber’s high debt, low net margin, and decreasing cash reserves led to a score of 65, raising concerns about its fundamentals despite market hype.

Eli Lilly's 108 PE ratio, coupled with more debt than cash and reducing cash reserves, led to its low score and highlighted the disconnect between its fundamentals and market valuation.

Tom emphasizes that the market can sometimes defy fundamentals, as stocks like Uber and Eli Lilly may still rise due to trends, media, and investor psychology.

His system recommends focusing on strong fundamentals for long-term success, acknowledging that short-term market movements can be unpredictable.

The core of the investment strategy is discipline and dollar-cost averaging (DCA), continuously buying stocks monthly regardless of market volatility.

He advises doubling down on stocks when their price drops 20% below the 52-week high, allowing investors to average out the cost over time.

Meta, Nvidia, and Tesla are close to their 52-week highs, while Nvidia’s stock is trading close to the threshold where doubling down could be a good option.

Patience is key in Tom’s system, with the expectation that it takes 3-5 years to see meaningful returns, following Warren Buffett’s approach of 'getting rich slowly.'

Transcripts

play00:00

folks this is huge Tom Lee one of the

play00:02

best analysts in the business just

play00:04

released a list of six stocks to buy in

play00:07

2024 and never work again because I

play00:09

remembered when I started in this

play00:11

business someone says you don't get

play00:12

fired for recommending Coke Coca-Cola

play00:15

not yeah yeah um well either way yeah so

play00:18

and so most people always play in the

play00:19

middle of the Fairway according to Tom

play00:21

Lee who's one of the most successful

play00:23

analysts in the business and the head of

play00:24

funstra these six stocks will make

play00:27

millionaires in 2024 now in my video

play00:30

the bottom line always comes first so

play00:32

before I say a single word about

play00:35

anything here is the list of the six

play00:37

stocks so I don't hold you hostage don't

play00:39

click nothing don't smash nothing don't

play00:42

buy nothing just listen the six stocks

play00:44

are envidia meta Uber Tesla Eli paler

play00:51

and if all you needed is the bottom line

play00:53

if all you need it is that six stock

play00:55

list here we go you're free to leave I'm

play00:58

not angry in fact I I don't care since

play01:01

this isn't the way I make my living but

play01:03

I suggest you give me about 30 seconds

play01:05

of your time to convince you to stay

play01:07

because I'm about to blow your mind and

play01:09

make you a lot of money because I'll do

play01:11

in this video what most mainstream media

play01:14

most creators out there they're not

play01:16

going to show you I'll tell you which

play01:18

ones of the six stocks are the

play01:20

pretenders and which ones are the real

play01:22

ones which one is legit and which one is

play01:25

total and trust me there's two stocks on

play01:28

this list which have fallen miserably on

play01:31

their face despite the hype and it's not

play01:34

the stocks you think trust me now Look

play01:37

the cost of doing business is making

play01:40

mistakes Tom Le is not immune to that

play01:43

myself I'm not immune to that I don't

play01:46

think you should follow anybody blindly

play01:48

not Tom Lee and not Tom Nash what I'm

play01:51

doing in this community is teaching

play01:53

people how to think for themselves how

play01:55

to create a process which they trust and

play01:57

make their own decisions I'm not about

play01:59

to feed you fish so what I'll do in this

play02:02

video is I'm going to show you how I

play02:04

analyze these six stocks and I'll tell

play02:07

you which one of them are real and which

play02:09

one are completely fake and that system

play02:11

which you learn in today's video you can

play02:13

apply to any stock out there within

play02:15

minutes the test basically includes 10

play02:18

items each item has a perfect score of

play02:20

10 a fail of zero and a medium score of

play02:23

five okay very very simple number one

play02:26

did the company grow its Revenue over

play02:28

the past three years the perfect score

play02:30

gives you a 10 here does the net margin

play02:33

goes above or below 10% as you

play02:36

understand above 10% is a perfect score

play02:38

5% is a medium and Below 5% is a zero

play02:42

cash increase did the company increase

play02:44

its cash over the past three years does

play02:46

the company have more assets than

play02:48

liabilities does the company have more

play02:50

cash than debt does the company have a

play02:52

short interest of below 5% below 10% or

play02:56

above 10% does the company have 50% % or

play03:00

more of institutional shareholding does

play03:03

the company grow its revenues faster

play03:06

than it's growing its expenses

play03:08

scalability and how much did the company

play03:10

do for its investors since IPO and the

play03:14

last one is PE price to earnings is it

play03:18

above or below 30 any stock that is

play03:20

above 30 does not deserve a full score

play03:23

of 10 any stock that is between 10 and

play03:25

30 deserves a five and anything below 10

play03:28

PE deserves a perfect score now as you

play03:31

will see in this test we have two

play03:33

companies that absolutely have fallen

play03:36

flat on their face not the ones you

play03:38

think we have four companies that have

play03:40

done really well and we have one company

play03:43

that pretty much gotten the perfect

play03:44

score now let's play a little game here

play03:47

you guess which company has come very

play03:49

very close to a perfect score which is

play03:51

pretty much as close as you can get

play03:52

under the system comment below before I

play03:55

reveal this and let's see how many of

play03:57

you got it right because most of you

play03:58

will not I promise you it's going to be

play04:00

surprising now very very quickly put it

play04:03

down in the comments and let's get to it

play04:04

I'm not about to waste people's time

play04:06

here in this video number one Nvidia so

play04:09

Nvidia scored 90 on this test which is

play04:11

one of the highest scores we have ever

play04:13

seen the only reason Nvidia did not get

play04:16

a perfect score is because it has a PE

play04:18

of above 30 now its PE currently is 60

play04:22

it's not horrible but it is above 30

play04:23

that is why it's a 90 stock still very

play04:26

high Tesla scored an 85 which is really

play04:29

and 90 and I'll tell you why Tesla's

play04:32

institutional shareholding is 47% which

play04:34

is just shy by 3% of a perfect score on

play04:38

that 50% threshold which means Tesla

play04:40

just barely barely got 85 instead of 90

play04:44

but it also lost 10 points the same way

play04:47

Invidia did with 67p which is about 30

play04:50

penter with 85 for the same reason 42%

play04:54

institutional shareholding very close to

play04:55

that 50% but not quite there yet just

play04:58

about 2 years ago it was at 30% so it's

play05:00

moving along nicely but not there yet so

play05:03

85 for paler 85 for Tesla 90 for NVIDIA

play05:07

and the perfect score of 95 that's as

play05:09

close as you can get to perfect score in

play05:11

this test goes to meta now meta actually

play05:15

scored a 95 because it has a PE of 28

play05:19

now 28 is below 30 but above 10 which

play05:22

means it only got five out of 10 on that

play05:24

test 95 but it completely aced every

play05:27

single test Revenue growth margin cash

play05:30

increase more assets than liabilities

play05:32

more cash than debt short interest below

play05:34

5% above 50% institutional shareholding

play05:37

scalability since IPO it went ballistic

play05:40

and the PE is actually below 30 that is

play05:42

the highest score we have ever seen on

play05:44

this test So Meta actually blew

play05:46

everybody out of the water Nvidia Tesla

play05:49

and paler had great scores but these two

play05:51

companies actually fell flat on their

play05:53

face and the hype around them seems more

play05:56

air than anything else number one Uber a

play05:59

company that scored 65 now high PE with

play06:02

80 more debt than cash only 5% net

play06:06

margin and reducing cash so this company

play06:10

basically does not have the fundamentals

play06:11

to justify the hype maybe they will get

play06:14

better maybe they will blow up I don't

play06:16

know right now they're not good enough

play06:18

eliy you guys have brought it to 108 PE

play06:22

of all this hype I get it I understand

play06:25

the hype at 108p with more debt than

play06:28

cash with more liabilities than assets

play06:30

with reducing cash it doesn't make sense

play06:32

Eli liy scored the lowest on our test

play06:34

with the highest PE except paler which

play06:37

is a whole different story paler has a

play06:39

crazy PE I get it but give it a year

play06:41

it's going to get better now look it

play06:42

doesn't mean that eliy or Uber and or

play06:45

both cannot go through the stratosphere

play06:47

for the next year it doesn't mean that

play06:49

stocks in the short term can do crazy

play06:51

things it's not about fundamentals it's

play06:53

about psychology Trends media all this

play06:56

stuff that have nothing to do with

play06:57

fundamentals so don't come out me in

play07:00

about a year saying oh my God El has

play07:01

doubled itself it may happen I don't

play07:03

know but my system works 80% of the time

play07:06

I know I'm going to miss a few because

play07:07

I'm being a tight ass that's fine but

play07:10

right now based on my system I would

play07:12

exclude Uber and eliy and I would

play07:14

absolutely love the other four stocks

play07:16

but the next question you should ask

play07:17

yourself is well Tom you just said that

play07:19

meta scored the highest Nvidia scored

play07:21

the second highest and then Tesla and

play07:23

paler were tied for three and your

play07:25

portfolio only has Tesla and paler in

play07:27

fact paler had 40% and Tesla at 20% how

play07:31

come Tom well what about meta Nvidia

play07:33

such great companies great scores well

play07:35

I'll explain look I have no doubt that

play07:37

these four companies Nvidia paler Tesla

play07:39

and meta are some of the best companies

play07:41

in the land they're some of the best

play07:43

they'll be dominant for the next 5 to 10

play07:45

years they're incredible amazing

play07:47

companies with all the right things all

play07:49

the right ingredients I'm not saying

play07:51

that but look at the valuation the

play07:54

market cap of Nvidia is currently $3

play07:57

trillion how much more can you get out

play08:00

of this lmon if it doubles and go to $6

play08:02

trillion which would be insane but it

play08:04

might happen you make a 100% of your

play08:06

money and that's great if Nvidia goes

play08:09

from 3 trillion to 6 trillion you have

play08:12

doubled your money and that may happen

play08:14

if meta goes from 1.4 trillion to three

play08:16

trillion you've double your money again

play08:18

incredible right but I'm looking at

play08:20

paler and I'm saying well paler is

play08:22

basically the next Microsoft in the

play08:23

making and they're currently trading at

play08:25

$80

play08:26

billion the chances of pal going from 80

play08:30

to 800 billion are a lot higher than

play08:33

Nvidia going from3 to30 trillion at

play08:36

least the way I see it so the upset in

play08:38

paler is a lot bigger for me as an

play08:41

investor than it is in Nvidia and that

play08:43

is why Tesla 800 billion is only 20% of

play08:46

my portfolio and paler is that 40%

play08:49

position well Tom what about the other

play08:50

40% well that is in the S&P 500 that is

play08:53

because I'm not an idiot and I'm not

play08:55

about to bet against the US economy

play08:57

which is undefeated S&P 500 is my

play09:00

security blanket and it's always going

play09:01

to be there now the challenge for you as

play09:03

a long-term investor is the fact that

play09:04

great companies are trading at a premium

play09:07

and these companies mostly are very very

play09:09

close right now in their pricing to

play09:11

their 52e high price so what do you do

play09:14

with it do you wait do you get a better

play09:17

price do you wait until the collapse the

play09:19

fall the drop back the pullback whatever

play09:20

you call it no because you never know

play09:23

what the stock market is going to do in

play09:25

the short term the stock market might

play09:26

fly up in the next year and these stocks

play09:28

might double price before they pull back

play09:30

again we simply don't know what we do is

play09:33

we allocate a certain fixed amount every

play09:35

month and we buy that like clock work

play09:38

now the minute the stock drops below a

play09:41

certain price point which I'll talk to

play09:43

you about in a second we actually go and

play09:45

double down so essentially we're writing

play09:48

the average of the stock but every time

play09:49

the stock dips we actually Double Down

play09:52

creating a weighted average that gets

play09:53

very close to the bottom of the price

play09:55

without timing the market even once this

play09:57

system is pretty much guaranteed the

play09:59

only thing you need is time this thing

play10:01

takes 3 to 5 years to materialize and

play10:04

that is the problem Warren Buffett said

play10:06

it I think the best people would love to

play10:08

get rich they all want to get rich

play10:10

nobody's willing to get rich slow this

play10:12

system takes years but it is proven how

play10:16

many of you have the balls the kones and

play10:18

the patience to do it well let's find

play10:20

out now I also told you something that I

play10:23

haven't explained I told you that we

play10:25

double down on the stock once it hits a

play10:28

certain threshold price but what is it

play10:31

well for each stock we calculate quite

play10:32

simply it is 20% below the 52 we high

play10:36

for Tesla the 52 we high is 271 which

play10:40

means that any price below 216 is our

play10:43

trigger amount for piler is 38 so

play10:47

anything below $30 is a trigger amount

play10:50

for NVIDIA it's 140 which

play10:53

means2 is our trigger amount for meta

play10:55

it's 577 which means $460

play10:59

is our trigger amount anything below

play11:02

these amounts triggers the Double Down

play11:04

process for us it's very very simple now

play11:07

Tesla paner and mea are basically almost

play11:09

touching their 52 week highs so they're

play11:12

nowhere near that threshold amount but

play11:15

surprisingly Nvidia which is one of the

play11:17

best companies in the land is currently

play11:19

trading at $121 which is very close to

play11:22

that 112 which means it's almost there

play11:26

if Nvidia drops just another 10% it's

play11:28

going to get into that region where we

play11:30

want to double down which means instead

play11:32

of $100 every month 200 every single

play11:35

month until the stock climbs up above

play11:37

112 again very very simple ignoring the

play11:40

news ignoring the hype ignoring all the

play11:43

fomo all the Panic the only thing we

play11:45

care is that the company fundamentally

play11:46

does not deteriorate we still want to be

play11:48

a shareholder and we look at the price

play11:50

and we buy more on weakness we buy a

play11:52

little bit less on strength and we keep

play11:53

doing it for 3 to 5 years eventually

play11:55

getting to a very comfortable position

play11:57

now look this system basically teaches

play12:00

you discipline it teaches you conviction

play12:02

and it allows you to become an

play12:05

absolutely Carefree person not giving a

play12:08

freak about what's going on in your

play12:09

portfolio in the short term which I

play12:11

think is a huge reward for anybody who

play12:13

wants to enjoy life we have limited

play12:15

amounts of freaks to give in life let's

play12:18

use them for smart things not for this

play12:20

this system only requires you to

play12:22

research good companies and then the

play12:24

automatic system takes over and just

play12:26

keep buying and selling all you have to

play12:27

do is monitor the companies you invest

play12:29

in and make sure they're still as

play12:31

attractive as they were a year two year

play12:32

three years ago now here's the thing the

play12:35

DCA thing works it is proven the only

play12:38

thing you need is conviction patience

play12:40

and a support group we have that we have

play12:43

a 20,000 member Discord which will

play12:45

prevent you from doing emotional

play12:47

and will keep you in line doing

play12:50

exactly the smart logical decisions you

play12:52

need to make I invite you to join our

play12:54

Academy and a few days ago I dropped the

play12:56

price to $35 for 24 hours since then the

play13:00

amount of people who signed up was

play13:01

incredible we're almost at 6,000 members

play13:04

right now now a lot of you have asked me

play13:06

to continue this and I will allow it

play13:08

which means that as of October 1st the

play13:10

price goes back from $35 back to $99 and

play13:13

will never ever drop again to 35 No

play13:16

Matter What It's Gone Forever the reason

play13:18

is and that's the reason I'm not bsing

play13:20

you on this is because we are already

play13:22

over subscribe in the academy we need to

play13:24

slow it down a little bit we need to

play13:25

slow down the pace at 99 we're about to

play13:28

have a slower sign sign up and that's

play13:29

okay I don't need more people right now

play13:32

I have enough but I don't want to close

play13:34

the door too quickly so you have until

play13:36

the end of the month don't tell me I

play13:37

didn't give you the chances to join at

play13:39

35 that's the end of it now before you

play13:41

go one important thing I get this

play13:43

question from almost any new member here

play13:45

before I learned the system I've bought

play13:47

a bunch of garbage and now my portfolio

play13:49

is filled with bad companies loser

play13:51

companies what do I do with this I've

play13:53

made a video exactly for that purpose

play13:55

how to identify which stocks in your

play13:58

portfolio are garbage that needs to go

play14:00

which ones are Keepers and how to get

play14:02

rid of them if you don't want them in

play14:04

your portfolio without making stupid

play14:06

mistakes that video is on the screen

play14:09

right now the video is very

play14:10

straightforward it's going to teach you

play14:12

how to identify and how to remove these

play14:14

bad cter stocks from your portfolio in

play14:17

about 10 minutes go watch it right now

play14:19

thank me later I'll see you next one

play14:20

peace

Rate This

5.0 / 5 (0 votes)

Etiquetas Relacionadas
stock picks2024 investmentsTom Leefinancial tipsmarket analysisgrowth stocksmetaTeslaNvidiainvesting strategy
¿Necesitas un resumen en inglés?