YT YouTube2Text

YouTube2Text → Transcripts → MASTER Investing in 89 Minutes (Start With Just $1)

MASTER Investing in 89 Minutes (Start With Just $1) — Transcript

by Mind Math Money · 15,488 words · 2,074 segments · language en · Watch on YouTube

Open in transcriber Summarize with AI Download SRT/VTT

Full transcript

0:00In this free video course, you will
0:02learn everything you need to know about
0:04investing, even if you're starting with
0:07just $1. By the end of this course, you
0:10will not only be able to analyze stocks,
0:13ETFs, or any other financial market, but
0:16you will also learn multiple AI
0:19investing techniques that most investors
0:22don't know about.
0:25All right. So, hello everyone and
0:27welcome to this full master class on
0:30investing. And I do actually want to
0:32start this course with a quote from
0:36Warren Buffett himself. If you don't
0:38find a way to make money while you
0:41sleep, you will work until you die. And
0:45that is really the heart of this course.
0:47This course is made for everyone. It
0:50doesn't matter if you work a 9-to-F5
0:52job, if you are maybe a student, you
0:55know, maybe you are retired already, or
0:58if you are already a trader, this course
1:01might be even more important for you
1:04because the income you get from any job,
1:06whether you are a plumber or a trader,
1:10is very different compared to the
1:12passive income you can get from
1:15investing. And here I have put a lot of
1:18effort into making this course really
1:22futureproof.
1:23So you will of course learn timeless
1:26investing and wealth principles but you
1:29will also learn the very important
1:31skills we need to you know be able to
1:34invest and outperform in the future. So
1:36we will take a look at things like you
1:38know how to invest using AI. We will
1:42also take a look at things like how we
1:44can for example look at exactly what
1:47famous investors like Warren Buffett is
1:49buying and sell selling right now. Uh we
1:52will take a look at beginner mistakes
1:53and so on and so on. Uh but so we have
1:56so much to cover here and I'm very
1:57excited. But let's before we dive in
1:59here, let's just take a quick look at
2:01what you can expect to learn from this
2:03course. So here what will you learn in
2:06this course? Well, before we can start
2:09making money investing, we of course
2:12first need to know about what investing
2:14is and how it builds wealth over time.
2:19It's very important to have that strong
2:21foundation to really get the most out of
2:24your investing journey. Then we will
2:26move move on to take a look at some
2:28important differences here between
2:30investing trading and something known as
2:34position trading. And here, if you have
2:36been following for a while, you already
2:38know that I have lots of trading content
2:41on the channel. For example, I just
2:43recently put out a uh video course on
2:46how you can connect Claude, which which
2:49is one of the most powerful AIs in the
2:51world. It is the AI that the US
2:53government actually banned because it
2:55was it was too powerful. Um, and I
2:58actually made a video on how you can
3:00connect Claude to Trading View. And that
3:02video, as I'm recording this, uh, it has
3:05more than 100,000 views in just a few
3:07days. So, I'm blown away by that. And if
3:10you're interested in that, you can, of
3:12course, watch that video later on. But
3:14trading is just one piece of the puzzle.
3:16In my personal opinion, every single
3:18trader needs to know about investing. As
3:20I said in the intro, investing is
3:22something that everyone should learn.
3:24But, okay. So after we have this sort of
3:26good foundation, we're ready to move on
3:28here and take a look at how to analyze
3:32any stock like a professional and we
3:35will take a look at some very important
3:36concepts that you need to know about
3:38such as fair value and financial health.
3:41We will take a look at what they mean
3:42and we will also take a look at tools we
3:45can use to find out you know quickly the
3:48fair value and financial health of
3:50companies. Next here we're going to move
3:54on to a very very important chapter and
3:56that is how to use AI to find and
4:00research investments. As you guys
4:04probably know AI is, you know, getting
4:07more and more important every single
4:09day. It's improving, you know, every
4:12every single day. Or maybe not, you
4:13know, we're not getting new models every
4:15single day, but it's pretty much every
4:16week now. It's just accelerating and
4:19accelerating. So your ability to use AI
4:23uh you know as a sort of at least as an
4:25investment assistant is something you
4:28cannot do without. So this chapter is
4:30super important but as I said I highly
4:33recommend to you know watch the chapters
4:35here in order. I have actually built
4:37this course in a step-by-step manner. Uh
4:39so super super highly recommend to watch
4:41the chapters in order. But yeah, after
4:43this chapter, we're actually ready to
4:45move on to how we can see and copy the
4:49portfolios of famous investors like for
4:53example Warren Buffett. We can actually
4:55that is actually public information. We
4:57can see exactly what stocks Warren
5:00Buffett is holding. We can look at you
5:02know what is Ray Dalio holding or Bill
5:05Gates or whatever. Uh this is actually
5:07something we can see and I will show you
5:09guys exactly how. Lastly, but definitely
5:13not least, we will take a look at we
5:15will take a look at the biggest beginner
5:17mistakes and more importantly, how
5:20[snorts]
5:20to avoid them. But yeah, guys, this is
5:23roughly what you can expect to learn in
5:26this course. But here before we dive in
5:28to chapter one here, I have a few
5:30recommendations. And the first one is to
5:33please guys try to remove all your
5:36distractions. So please guys put this
5:38video in full screen and you know if you
5:41can remove your phone or at least you
5:44know mute all the notifications. The
5:47world is so distracted right now. Most
5:50people don't have the attention span to
5:52watch a 10-minute video. So being able
5:54to watch a full course you know from
5:56start to finish is in today's day and
5:59age I think it's a superpower. So, try
6:01to really remove all distractions and as
6:04I mentioned earlier, I highly recommend
6:05to watch the chapters in order because I
6:08have built this course in a step-by-step
6:09manner. But if you want to jump around
6:11in the video, maybe you want to rewatch
6:13a part, maybe you want to jump over a
6:16part, don't worry because I will have
6:18YouTube chapters slashtimestamps so you
6:21can jump around in the video. But now
6:24guys, we are finally ready to start with
6:27chapter one. But right so now then what
6:31is investing? Before we can start to
6:35make money while we sleep, we of course
6:38first need to know what investing is in
6:41the first place. And here the most
6:44simple definition of investing is simply
6:47that you are buying assets and assets
6:50here can be anything. It can most
6:53commonly people think about stocks. uh
6:55you know stocks is when you buy a piece
6:57of a company but it can be other things
7:00as well. So an asset can be it can be
7:02cryptocurrencies like uh for example
7:04bitcoin uh but it can be other things as
7:07well. You know you might be in investing
7:09in uh real estate or gold and so on and
7:12so on. Assets is basically uh anything
7:15you can invest invest in. But the
7:17important part about investing is that
7:19the goal here here is to hold them for
7:22the long term. So when you invest in
7:25something you I would say that you
7:27usually plan to hold them for at least
7:30years but maybe even decades. So many of
7:34the best investors like Warren Buffett
7:37actually plan to hold stocks for you
7:39know decades for the really really long
7:41term. And here as I said when you buy a
7:44stock you actually buy a small piece of
7:48a real company. So if you are buying a
7:51Apple stock, you are actually owning a
7:55small piece of Apple. You are one of the
7:58owners of Apple. If you buy buy
8:00Microsoft, you are owning a small piece
8:02of Microsoft and so on and so on. And
8:05because we're owning a small piece of a
8:08company, you know that the company uh is
8:11building products and working, you know,
8:13while you are awake, but also while you
8:15sleep. And that leads to the goal here.
8:18The goal is to let your money grow grow
8:22while you live your life. So that is
8:25what I'm trying to demonstrate with this
8:28image right here. So you put in money
8:31into a company whether it's you know
8:33mobile phones, cars or you know software
8:36and then you can go around and do
8:38whatever you want. Buy a coffee you know
8:40chill. You basically don't need to do
8:42anything. The money will grow while you
8:45sleep. And of course, I want to already
8:48mention that not every single stock will
8:51go up forever. That is of course not the
8:53case. But the very good thing about
8:56investing compared to maybe trading for
8:58example, is that on average the stock
9:02market goes up. So if you for example
9:05buy you know an ETF, we will talk about
9:07what an ETF is later on in this course,
9:10but if you buy uh an ETF of say, you
9:14know, the US stock market, it's very
9:17very likely that you will make money and
9:20the longer you hold, the more likely it
9:22is that you will make lots of money. So
9:25when it comes to investing, you can
9:26think of it that the odds are stacked in
9:29your favor. And the last thing that is
9:32so amazing about trading is that anyone
9:35can learn it. You don't need any fancy
9:38finance degrees. To be honest, many
9:40things they teach you in business
9:42school. You know, I have a bachelor
9:44degrees in economics. Many things they
9:46teach there can actually be
9:48counterproductive. They tend to use
9:49complicated math and so on and so on on
9:52assumptions that are often not true. But
9:55that's a bit little bit besides the
9:57point. But the point here is that anyone
9:59can learn. You don't need any prior
10:00knowledge. But right, so now let's take
10:03a look at the most powerful concept in
10:07investing. And I would actually argue,
10:09this might sound a little bit crazy, but
10:11I would actually argue that this is one
10:12of the most important concepts you can
10:14learn, you know, in general, in life in
10:17general. If you only learn like one
10:19thing, you should probably learn about
10:21compounding. And here, what do I
10:25actually mean by compounding? Well,
10:27compounding is the principle of earning
10:31returns on your returns. Or in other
10:35words, compounding is when growth build
10:38upon previous growth. So the classic
10:42example here as you can see on this
10:44image right here, if you focus on the
10:46image, is that if something grows, let's
10:49say, you know, 10% per year, as I show
10:51in this image, first it grows from 100
10:54to 110. But if it grows another 10% now
10:58it grows to 121. So first it grows by 10
11:02then it grows by 11 then it grows by
11:05more than 12 and so on and so on. So you
11:07can see that the the growth sort of
11:08build upon the previous growth but an
11:11even more powerful example it it becomes
11:14much more simple when we look at a more
11:17extreme example. So let's instead say
11:19that something grows with 100% per year.
11:22So let's say you start with 100, then of
11:25course it becomes 200, then it becomes
11:29400. Oops, my camera is a little bit uh
11:31away, but this goes on and on and on. So
11:33800, you know, 1,600
11:36uh 3,200. You can hopefully see 6,400,
11:41how powerful this this principle is. And
11:43the magic here is that even if this is
11:45at, you know, let's say that we're
11:47talking about 1 million instead, if it
11:49grows 100%, then it grows to 2 million,
11:53then 4 million, and so on and so on. The
11:57power of compounding is, you know, it's
11:59kind of easy to understand the math, but
12:02it's much harder to understand how, you
12:06know, real this power is. And and this
12:09is basically why, you know, the rich get
12:11get richer. If you already have you know
12:14100 million and you grow with you know
12:17just 1% you're growing 1 million and
12:22this affects continuous and continuous
12:24compounding is so so important and the
12:27reason I said that this is the most
12:29important concept not only in uh you
12:32know investing but life in general that
12:35is because I think that other things
12:37compound as well. So for example, things
12:40like knowledge, the more books you read,
12:43the more knowledge you will get from the
12:45next book because when you read the next
12:47book, you already have, you know, all
12:49the connected dots from the previous
12:51books you books you read. So you can
12:53sort of extract more from the next book.
12:55And it also can apply to other things
12:57like you know uh let's say
13:00relationships. uh the more people you
13:02you know, the easier it is to get to
13:04know maybe you know another another guy
13:07because you have all the connections and
13:09yeah I can ramble along uh about this
13:12principle for a long time but hopefully
13:13you get the point. And here a very
13:16famous quote uh about the power of
13:19compounding is this one right here. Time
13:22in the market beats timing the market.
13:26And the uh the sort of knowledge from
13:29this is that you know uh of course if
13:32you are a trader what you want to do is
13:34that you want to time the market. You
13:35want to you know let's say buy low sell
13:37high but if you are you know just a
13:40long-term investor you know that the
13:43effect of compounding will work for you
13:47over time. And I will soon show you guys
13:50a calculator that will really
13:51demonstrate this principle. So here the
13:54key takeaway is that starting early
13:57beats starting big. So it's more
13:59important that you start to invest as
14:01soon as possible than to start with lots
14:04of money. But right so here I just want
14:07to show you guys a calculator that you
14:09can use to really understand the the you
14:12know power of compounding growth. Uh
14:15this example right here is from our
14:17trading toolkit. We have multiple
14:19different calculators. we have, you
14:21know, a trading journal and so on and so
14:23on. But I'm just going to go to here
14:25where it says compound growth to just
14:27show you guys the power of long-term
14:30growth here. So here, uh, you can
14:32choose, you know, a starting balance.
14:34Let's, uh, for, uh, simplicity say that
14:36we start with $1,000. And then you can
14:39choose here if you want monthly or
14:41yearly compounding. Let's do yearly
14:43because that is the most common. And
14:45let's say that our investment grows with
14:4710% per year. And here you can choose
14:50the amount of years. So you know if we
14:54have 5 years we can choose how much
14:57money we we put in each year. And let's
14:59start actually with not putting in any
15:01money. And here we can see that after 5
15:03years your investment will grow to uh
15:071,600.
15:09But the power of compounding gets much
15:12stronger the more time we have in the
15:16market. So if we increase from five to
15:1910 years, you will notice that the the
15:21the amount we gain here will more than
15:23double. So let's increase to to 10. Now
15:26you can see that our amount is 2,00 you
15:29know almost 2,600.
15:31Let's once again double the time to 20.
15:34Now you can really see the compounding
15:36effect start here. Now it has grown to
15:386,000. Let's double it to 40. Now you
15:42can see 45,000. So you can really see
15:46the power of compounding. And here let's
15:50say that you also uh invest maybe maybe
15:54let's say $100 per month. Now you can
15:58see the power really starting to
16:00explode. Now we're talking about
16:02$629,000.
16:05And let's say we have a yearly return of
16:0815%. Now you can see that we have 2.7
16:14million. So I really hope that you can
16:16see how this effect of compounding
16:19really start to explode when we have
16:21these sort of long time spans. So the
16:24difference here between when we have
16:25these settings between 5 years is uh
16:2811,000 when we have 40 years it's 2.72
16:33million.
16:35All right. So now let's take a look at
16:36the difference here between investing
16:39versus trading. Both of these methods
16:43can be very profitable. But what you
16:45will learn in this course is that
16:47investing is so much more certain. Yes,
16:50you know, anything can happen. Sometimes
16:52we have, you know, a bare markets like
16:55the 2008 financial crisis, you know,
16:58like what happened during COVID and so
17:00on and so on. But if you are just
17:02investing for the long term, you will
17:04pretty much always end up making money.
17:07But here the difference here between
17:09trading and investing is this. Trading
17:13is when we aim to make profit from price
17:16moves that are maybe from you know
17:18minutes to weeks. While investing is
17:22when you own quality companies or it can
17:25also be like cryptocurrencies or uh real
17:28estate but you're holding for I would
17:30say at least years. Then we also have
17:33this uh sort of middle ground which is
17:36known as position trading and this is
17:38when we're holding for uh often for
17:41weeks to months maybe up to a year or
17:44so. So here on the image I tried to
17:47demonstrate this clearly. As you can see
17:48here trading is minutes to week and the
17:51price usually you know is very spiky. It
17:53goes up and down and so on and so on.
17:56Position trading you will usually see
17:57this more sort of smooth you know and it
18:01often goes up over that period. But when
18:04you are really talking about investing
18:06you are more focused on the actual
18:08business and the actual company. And
18:10here that is why traders often use
18:12something known as technical analysis.
18:15So technical analysis is when you
18:17analyze the charts of companies. So you
18:21look at things like price and volume uh
18:23to sort of and you you can for example
18:26day trade. So you can buy and sell
18:28something within the same day p within
18:31the same day purely based on how the
18:34price moves. While investors tend to use
18:38something known as fundamental analysis
18:40and fundamental analysis is when we take
18:42a look at how the actual company is
18:45performing. So how profitable is the
18:48company? how fast is the company
18:50growing? Uh we can look at things like
18:52you know who is in control of the
18:54company. Uh what is the management like
18:57and so on and so on. And here some
18:59people actually combine both uh
19:02technical analysis and fundamental
19:04analysis. So you might be an investor
19:06that focuses on you know really
19:08long-term plays but you can still maybe
19:11use technical analysis uh and some
19:13trading techniques to try to get you
19:15know an even better entry point. that is
19:18also a uh you know the sort of hybrid
19:21method is also definitely valid. Okay,
19:24so here just to show you guys an example
19:26real quick. Uh right now I'm in trading
19:29view and trading view is the platform I
19:32use for all my technical analysis and
19:34nowadays you can also use it a lot for
19:37fundamental analysis as well as well.
19:39Trading View has really grown to be a
19:41platform for you know basically all
19:44things trading. Um, and if you uh, you
19:46know, don't have Trading View yet, I do
19:49actually have a special link that you
19:50can use to get Trading View Premium for
19:53free for 30 days. And you will also get
19:56a $15 bonus if you use that link. Uh,
19:59but yeah, now I just want to show you
20:01guys here the difference between, you
20:04know, trading and investing real quick.
20:06So, right now we're looking at the S&P.
20:08This is the S&P 500, which you can
20:11basically think of as the 500 [snorts]
20:14most valuable companies in the US. And
20:16the US is the world's largest market. So
20:19this is pretty much the the most
20:21important index in the whole world. But
20:25right now, as you can see right here up
20:26here, it says D. It means that every
20:29candle you can see on this chart
20:31represents one day day worth of price
20:34movement.
20:36But what we can do here if we want to
20:38really zoom out is that we can go down
20:40here and choose for example a monthly
20:43time frame. So now every candle, every
20:46bar on this chart represents one month
20:49of price movement. And if we zoom out on
20:52this chart, so we can actually zoom out
20:54all the way back here, you can see that
20:56this chart pretty much starts all the
20:58way back here in uh I hope you can see
21:01this is back in 1930. This right here
21:04was actually the the depression back in
21:061930. But what you hopefully can see
21:09here really clearly is that over a
21:12large, you know, amount of time, the
21:15price goes up on average. Yes, we have
21:18this sort of brutal bare markets like
21:20the depression right here. We have the
21:232008 crash right here. That was brutal
21:26at the time. But when you zoom out, when
21:29you really zoom out, you can see that
21:30all of these brutal uh crashes are
21:33actually just a blip on the chart. For
21:36example, you know, the COVID crash is
21:38this tiny movement right here. So
21:40hopefully you can see that over time the
21:43price really really tends to go up to go
21:46up because over time you know uh you
21:50know uh we as uh human species uh we we
21:53tend to progress right we get new
21:55technology we get more efficient in
21:58producing things and so on and so on.
22:00But here is the monthly time frame and
22:02now uh as you can see on the monthly
22:04time frame it clearly goes up. But if we
22:06switch the attention and maybe take a
22:08look at fiveinut candles, you will see a
22:11completely different uh picture. And
22:13this is the kind of picture that traders
22:15have to work with. You can see that when
22:16we talk about the five minute time
22:18frame, the picture is not clearly up
22:21anymore. Now on the short-term time
22:24frame, you will see that we have much
22:26more sort of uh it kind of looks random.
22:29Right. Right. The price goes up and
22:31down, up and down, up and down. And it's
22:34definitely not clear that it goes up,
22:36you know, on the five minute time frame.
22:39However, if you are a trader, this might
22:41not be a good thing. Many traders
22:42actually likes when the price goes up up
22:45and down a lot because, you know, they
22:47might try to buy down here at support,
22:49maybe sell up here, buy up here, sell,
22:52and so on and so on. But all right, so
22:55now let's take a look at two types of
22:57investments that every single investor
22:59needs to know about and that is stocks
23:01and ETFs. And the first one is pretty
23:04simple. A stock is a share of ownership
23:09in one company. So if you buy a stock in
23:13Tesla, that basically means that you are
23:15now owning a small piece of Tesla. You
23:19are actually an owner of Tesla. However,
23:22an ETF here and this is so important to
23:24learn. That is what is known uh that is
23:26what is an exchange traded fund and when
23:29you buy an ETF you're not only buying
23:32one stock but you are buying basically a
23:35basket of many stocks that you can buy
23:38in one click. So that's what I try to
23:41demonstrate with this image right here.
23:44When you buy an ETF uh let's say we have
23:46a super simple ETF with maybe Tesla,
23:49Apple and Nvidia. If you buy that ETF,
23:52you are now, you know, basically an
23:55owner of all of these three stocks or at
23:57least an indirect owner. And for many
24:00tra and for many investors, especially
24:02beginners, ETF investing is what I
24:05recommend. It's such a good way to get
24:07started because you get the sort of
24:09broader index. As I showed you guys
24:11earlier, over time, the indices, you
24:15know, goes up or tends to go up. So, a
24:17very clear example of an ETF is the S&P
24:22500 ETF, uh, which basically holds the
24:26500 largest US companies. So, if you buy
24:30the SPY ETF, so if you buy the S&P 500
24:34ETF, you're basically binding a buying a
24:37little piece of ownership in all of
24:39these 500 companies. So a key takeaway
24:42here is that one ETF share means instant
24:47diversification.
24:48And in simple terms, diversification is
24:51when you are spreading your risk between
24:54you know multiple multiple companies
24:56because a very important principle to to
24:58remember here is that if you only buy
25:00one stock of course that stock can go to
25:04zero. It has happened, you know, it
25:05happens all the times that companies go
25:08uh bust, but it has never ever happened
25:12that that the S&P 500 goes to zero. It
25:14simply doesn't because the S&P 500 are
25:17the 500 best companies in the US in
25:20order for that ETF to go to zero. We
25:23basically need, you know, something like
25:26World War II or something where every
25:28company in US goes to zero. That's not
25:31really uh you know a scenario we want to
25:34think about. It's very very unlikely to
25:36happen. So here just to show you guys an
25:39example of an ETF. Uh right now I'm on
25:42investing.com here and we are looking at
25:45the S&P 500 ETF Trust which is known as
25:49the SPY ETF. This is the ETF where as I
25:53said with one click you can buy all the
25:56best companies in the US. So for example
25:58here in the top you can see the price
26:00graph but more interesting interestingly
26:03if we scroll down here you can actually
26:06see the companies in the ETF and also
26:09the weight here. So the weight is you
26:11know how big part of the full ETF is
26:14that company and it's uh actually based
26:16on how big the company is. So for
26:18example, right now Nvidia is the world's
26:22largest stock and that is why Nvidia
26:25actually has the highest weight in SPY.
26:28So you can see the largest is uh so when
26:30you buy one SPY ETF you get 7.64%
26:36of that buy is Nvidia stock. Very close
26:40second here is Apple with 7.63%.
26:44So when you buy a spy ETF, you get that
26:46much of Apple, you get 4.55% of
26:50Microsoft, 3.76% of Amazon, and so on
26:54and so on. But right, so now let's take
26:56a look at the two best ways to invest
27:00your money. And we have here method A
27:03and method B. The first method here,
27:05method A and the method I actually
27:07recommend if you are a complete
27:08beginner, I recommend this method and
27:11that is ETF investing.
27:14And the reason for this is that it's
27:16super super simple. You will already be
27:19diversified and you will spend very
27:22little time. So if you are the kind of
27:25investor that you you let's say you
27:27don't really want to think about
27:28investing but you do want to make money
27:31then this method is for you because you
27:33can let's say you can just every month
27:36or every other week or whatever time
27:39frame you need you can simply just buy
27:41you know an ETF with one click and then
27:44look away then you can go to the beach
27:46or whatever you want to do. But method B
27:49here is what is known as stock picking.
27:52And this is for investors. Let's say
27:54that you are really interested in in
27:56investing and you actually want to beat
27:58the market. So you want to perform
28:00better than the, for example, the SPY
28:03ETF. You want to be, you know, a better
28:05investor than the average. Uh then this
28:08method is for you. And I specifically
28:10highly recommend this method for people
28:12that, you know, a you you really need to
28:15be interested in investing. you want to
28:17be, you know, you you really want to
28:18learn more about investing, uh you
28:21really want to take investing seriously,
28:23then this method might be for you. And
28:25two, you also need to have the time. Uh
28:28you don't need to to, you know, spend
28:31every day or or something stock picking,
28:33but it definitely takes more time than
28:35method A. So here, if you look at this
28:37image right here, you can see the two
28:38method. Method A is super simple. You
28:40buy a basket of stocks and you don't
28:43have to think about it. Method B here is
28:46when you pick out the best stocks. And
28:50the very nice thing about this method is
28:52that of it of course have higher
28:54potential. It has much higher potential.
28:57This is one of the big reasons why for
28:59example Warren Buffett has become so so
29:01rich. He has been you know outperforming
29:04the market over a long period of time.
29:07But what is very important with method B
29:09is that it's also more risky. So that is
29:12a you know principle in life in general
29:14that the the higher risk you take often
29:17the higher potential reward. But here
29:19you don't have to choose just one
29:22method. A very popular combination here
29:25is that you have an ETF as a core. So
29:29maybe you have let's say 70% of your
29:32money in an ETF and then the rest of the
29:34money you might use to pick stocks. So
29:38this can be for example good if you are
29:41you know you're maybe interested in
29:42method B but you are not confident
29:44enough uh to go full method B and full
29:47uh stock picking. So this can actually
29:50be an amazing hybrid combo in my
29:52opinion. And here all you need to start
29:55investing is that you need a broker
29:58account. And often I get you know
30:01questions on my channel you know which
30:03sort of broker should I use and so on
30:05and so on. And the thing about stocks is
30:08that this will highly depend on what
30:10country you are uh you are from. For
30:13example, here in Sweden where I'm from,
30:14a very popular choice that I use is
30:16called Avansa. Uh but in order to to use
30:19that uh I'm pretty sure you need to be a
30:21Swedish citizen or it might be Nordic
30:24nowadays, but uh you know it you can't
30:26really use it if you're from another
30:28country. So when it comes to the best
30:31broker account and so on and so on, I
30:33actually recommend to do that research
30:35yourself and nowadays that research can
30:37be done uh you know super easily with
30:41tools like chat evbt or claude. And
30:43another very nice thing here is that
30:45many brokers let you start with things
30:47like just maybe just $10 because you can
30:50buy what is known as fractional shares.
30:53That is when you don't need to buy a
30:55full stock. So for example, some stocks
30:57might cost, you know, hundreds of
30:59dollars or even thousands of dollars. So
31:01fractional shares is a way for you to
31:04buy basically a share of a share or a
31:07piece of a stock. But right so now then
31:11now the time has come to take a look at
31:14fundamental analysis. And this right
31:17here is the main analysis technique you
31:21need to learn if you want to beat the
31:23market. It's the same method that the
31:25best investors like Warren Buffett use.
31:28And what fundamental analysis is in
31:31simple terms is that you are judging a
31:34company by its business not its chart.
31:38So you are not analyzing you know the
31:41individual candlesticks on the chart but
31:43you are rather asking the question is
31:46this a good business? Is this a good
31:49business at a fair price? So, as you can
31:53see on the image right here, you are
31:54basically zooming in on the on the
31:57business and you are not focused on the
31:59chart. Of course, it's it's important to
32:02just read, you know, how much is the
32:04market valuing the company right now,
32:06but you don't really care about the
32:07small ups and downs um recently. But
32:10here you look at things like for example
32:13revenue and also of course things like
32:16profit. You look at things like cash
32:18flow and you analyze, you know, risks
32:21like for example, how much depth does
32:23the company have? And these are just
32:25some examples of what you can analyze of
32:28a company. But now you might of course
32:31wonder how do I analyze all of these
32:33companies? Where do I find all the data
32:36for how companies are performing? This
32:39is something you can actually do
32:40completely manually. So if you want to
32:42look at for example how how Nvidia
32:44performs, you can go to the Nvidia uh
32:47website and download the earnings report
32:49and read the whole report yourself. It's
32:52completely free and it's like maybe
32:54hundreds of pages per company. But there
32:57are many platforms out there that does
32:58all of this sort of tedious and boring
33:01part of fundamental analysis for you and
33:04presents it in really clear and easy
33:06understand ways. And one platform I have
33:09been using more and more recently is
33:11called investing pro. This platform have
33:14the data of more than 70,000 companies
33:18and even more importantly it have built
33:21you know so many features on top of this
33:23data. So just as an example right now
33:26we're looking at proix AI. So this is an
33:29AI on top of the sort of premium data.
33:33So, for example, right here, this is an
33:35example of a pre-built investing uh
33:38strategy called Tech Titans. And this is
33:40an example of one of the best pre-built
33:42trading strategies. This one is up
33:44around uh right now as we're speaking,
33:46up 3,200%.
33:49And you can see this gray line right
33:51here is how the S&P 500, the index we
33:54looked at earlier, have performed. And
33:56you can see that the, you know, the
33:58outperformance here compared to the S&P
34:00500 is crazy. Uh, so this is a pre-built
34:04investing strategy. It also has its own
34:06AI called Warren AI that is, you know,
34:10pretty similar to a chatbot like chatbt.
34:13But the main difference here is that
34:15this AI is directly connected to the
34:20premium data that is available on
34:22investing pro. So this is like a chatbt
34:24built on top of premium data. So there
34:27are so many you know very interesting
34:29features in investing pro. It also has
34:31this tab where you can copy uh other
34:34investors. Uh but for now I do just want
34:38to show the basics here. So when it
34:40comes to the basics you can go up here
34:41to the upper left corner and just search
34:44for a company. So let's for example
34:46search for Nvidia. And what you want to
34:48do when you search for any company is
34:50that you want to you know you want to
34:52search for the ticker symbol and the
34:54ticker symbol for Nvidia is NVDA. So we
34:57search for that and then we click on the
34:59top right here. Now you can see that you
35:01will get this you know nice and clean
35:04summary of Nvidia. So first of all you
35:07get you know the price and what you also
35:09can see right here is that the the
35:10pre-market. So the Nvidia stock is
35:13actually trading even before the market
35:15is open and and as you can see the data
35:17is changing all the time. It's basically
35:20live data on all of these things. And
35:23here on this tab you get a very nice
35:25overview. Uh this right here you can see
35:28it has a measurement of fair value. Fair
35:31value is something very important when
35:33it comes to fundamental analysis and we
35:35will take a look at that soon later on
35:36in this course. But here you can also
35:39scroll down and get a quick overview
35:41here with some bullish and bearish
35:44things. So for example, you can see here
35:46that the stock has raised uh its
35:48dividend for three years in a row. You
35:51can see that analysts anticipate the
35:53sales for Nvidia to grow over time and
35:56it's also trading at a low PE ratio.
36:00Don't worry if you don't know what a PE
36:02ratio is. Later on in this course, we
36:04will also learn some of the most
36:06important financial metrics that you
36:08really need to know. But here you can
36:10also see here's a bearish uh signal. And
36:14one bearish thing about Nvidia is that
36:16the movements are volatile. That
36:19basically means that the chart is going
36:21up and down a lot around its moving
36:23average. That is basically what
36:25volatility what volatility is. Uh but
36:30yeah, as you can see, you have all of
36:31these most important data summarized in
36:34a very very clean way. If we scroll down
36:37here, you can also see the most
36:39important news. I'm recording this
36:40video. It's right now 256 p.m. here in
36:44Sweden. And as you can see here, we have
36:45news, you know, uh for example,
36:47Microsoft to fund Mistrol was news that
36:50came out just 20 20 minutes ago. So, you
36:53get really the most recent news here as
36:56well. But yeah guys, if you want to
36:58follow along while I use investing pro
37:00throughout this video, you know, we will
37:02use it a lot later on as well. I do
37:04actually have a special link down in the
37:07description and the pin comment that you
37:09can use to get investing pro. Uh I have
37:12managed to get you know the best
37:13possible discount which is right now I
37:16think it's 50% and then 15% on top. So
37:20around 65% off in total. So, I highly
37:24recommend, you know, have your investing
37:26pro on maybe a second screen, have the
37:29course on the main screen so that you
37:31can follow along during the course and
37:33really learn how to get the most out of
37:35this platform. All right, so now it's
37:38time to take a look at the key financial
37:40ratios that every investor should know.
37:44These are basically mathematical
37:46formulas that can help you analyze how
37:49much a company is actually worth. And
37:53here I want to start by taking a look at
37:54four of the most common ratios that you
37:57have probably you know if you're
37:59interested in investing already you have
38:01probably already heard about them. But
38:03here the very first ratio we need to
38:04learn about is called the PE ratio. And
38:08PE here simply stands for price to
38:12earnings. And the reason for this is
38:14that the PE ratio is calculated by
38:18taking the price of a stock and we
38:22divide it with the earnings per stock.
38:26So we divide it with the earnings per
38:29share. And I would say that the easiest
38:30way to think about the PE ratio is to
38:33think about it like this. Look at this
38:35window right here. You should think
38:37about it as how much do you pay for $1
38:42of profit. So, as an example, if let's
38:45say that the price here per stock is $10
38:49and the earnings per share, or in other
38:52words, the earnings, you know, for one
38:56stock is $1. That means that in simple
39:00terms, you pay $10 to get $1 of
39:05earnings. But now, in order to get this
39:07calculation, you might of course wonder
39:09what is EPS or earnings per share? And
39:12here as I said EPS stands for earnings
39:14per share. And to get it you simply take
39:17the total profit of the company and you
39:21divide it with the numbers of share.
39:24Because if you take the total uh the
39:27total profit and you divide it with how
39:30many shares you h have then you will get
39:32how much profit you get per share. So
39:36this is simply what the EPS is. Uh the
39:39next metric you need to have in mind,
39:41this is maybe not as relevant nowadays
39:44because many uh companies use something
39:47known as buybacks and they reinvest
39:49their profits and so on and so on. But
39:51dividend yield here is basically the
39:53yearly cash payouts as a percentage of
39:58the price. So this is when uh when a
40:00company you know pays out cash directly
40:04to investors. But as I said, many times
40:06this is not the case because many times
40:09a company would be more profitable if
40:12they instead of handing out the cash to
40:15investors like me and you, they put the
40:18cash back into the business so they can
40:20grow the revenue even faster in the
40:24future. And this right here leads to the
40:26next metric we need to know about and
40:28that is revenue growth. Or in other
40:31words, it's simply how fast the business
40:34is growing. But right, so now you might
40:37of course wonder, you know, where do I
40:38find all of these financial metrics and
40:42as always there there's always the
40:44opportunity to of course, you know, make
40:46all of these calculations yourself. So
40:49you can go to the company's site. For
40:51example, if we take Nvidia as an
40:54example, once again, you can go to
40:55nvidia.com and download the earnings
40:58reports and make all of these
40:59calculations or you can use a pre-built
41:03tool that has all of these calculations
41:05for you. So, for example, I'm using
41:08investing pro right here. So, what we
41:10can do is that we can simply search for
41:12um Nvidia. So, what we do here is that
41:14we open up Nvidia and we can find the
41:17financial metrics in multiple ways.
41:20First of all, you can see that if we
41:21just open Nvidia up right here and we
41:23scroll down a bit here, you can see that
41:25we have the data explorer type. And here
41:29you can see that we have, you know, some
41:30key metrics like for example the
41:33revenue, the dividend yield, the PE
41:36ratio that we talked about earlier. We
41:38also have a metric called uh price to
41:40book which is basically when you take
41:42the the full price of the company and
41:45you divide it with the book value. And
41:48you can basically think about the book
41:49value as the sort of tangible value that
41:52the company has. So it includes things
41:55like you know uh machines uh buildings
41:59but also nowadays it includes digital
42:02digital kinds of value as well. But no,
42:04if you want to dive even deeper into the
42:06data, remember here that Investing Pro
42:09has institutional grade data of more
42:13than or around 70,000 different stocks.
42:16And there are so much to dive into, but
42:18you can go here to the data explorer and
42:21then you choose the companies. So, as
42:22you can see right now, we have Nvidia
42:24chosen right here. And as you can see,
42:26you can search for any metric for
42:29Nvidia. All of these metrics are
42:32automatically calculated. So for
42:34example, let's say we want to search for
42:36the PE ratio. We simply type in PE
42:39ratio. And you can see that here on the
42:40top we have the normal PE ratio. But you
42:43also have many other sort of uh other
42:46types of PE ratio. For example, you can
42:48choose the average PE ratio for the last
42:5110 years, the last five years. You can
42:54also use a metric right here which is
42:56the PEG ratio. This is basically a uh PE
43:00ratio that also take growth into account
43:04and there are so so many metrics right
43:06here. So it can feel overwhelming in the
43:09beginning. But what I highly recommend
43:11is to start with the very basics. Start
43:13with learning uh the four metrics I
43:15talked about. And let's let's keep it
43:17basic and just open up the normal PE
43:19ratio right here. Now when we open up
43:23the P ratio tab, you have a few, you
43:25know, interesting things. So first of
43:28all right here you can see that you get
43:30a basic definition of what PE ratio is.
43:33It indicates the multiple of earnings
43:35that stock investors are willing to pay
43:38for one share of the firm. And here you
43:41get also of course the mathematical
43:44definition. Uh but even more
43:45importantly, one of the most interesting
43:47tabs is the analysis tab right here
43:50because here you can see that how the PE
43:52ratio for Nvidia has moved uh you know
43:56over the past. And remember here that PE
44:00ratio is actually the lower PE ratio we
44:04have the better because the the lower
44:07the PE ratio the less we have to pay for
44:10$1 of profit. That is a good way to
44:13think about it. But it's way too
44:15simplistic to only analyze the PE ratio
44:18because when you only look at PE ratio,
44:20you don't take the earnings growth into
44:23account. So that is what why one metric
44:26that can be much more useful especially
44:29for companies that are growing fast is
44:32the PEG ratio because as you can see if
44:35we type in PEG ratio right here you can
44:39see that this is a huristic a heristic
44:43is bas basically a rule of thumb that
44:45used to measure the level of earnings
44:47growth reflected in the market price. So
44:50here you can see that the PEG ratio
44:52takes the PE ratio divided by the
44:54trailing earnings per share growth rate
44:57and here you can see the analysis and
45:00the interpretation is pretty similar to
45:03the PE ratio but here you can see that
45:05the price to earnings to growth ratio is
45:08more closely around CRO and in general a
45:12good uh PEG ratio you want as close to
45:16zero as possible but you don't want it
45:18to be negative because you know when
45:20it's negative it usually indicates that
45:22either the growth is negative or the or
45:26the earnings is negative. So you want it
45:28below one uh and above zero and as close
45:31to zero as possible. But as I said guys
45:34when it comes to financial metrics this
45:36can we can probably make a full course
45:39on only the financial metrics alone. As
45:43you can see right here, there are just
45:45so so many metrics. Like there are like
45:47an inf infinite amount of metrics uh
45:50that you can dive into. But as I said,
45:52don't feel don't feel overwhelmed by it.
45:55Using a platform like investing pro
45:58really really makes everything about you
46:00know analyzing stocks much more easier
46:02because you have all these ratios you
46:04know calculated for you and as I said
46:06you have all companies available. We can
46:09even look at, let's say, you know, a new
46:11comp company like SpaceX that actually
46:14got listed on the stock market just like
46:17uh a month ago, Elon Musk's space
46:19company. And as you can see, we can, for
46:21example, look at SpaceX right here. We
46:23can scroll down a bit here. And here we
46:25have the data explorer. We can see the
46:27revenue, the dividend yield, the PE
46:29ratio, and so on and so on. But right,
46:32so now it's time to switch the attention
46:35and take a look at the most important
46:37question we can ask as investors and
46:41that is of course what is a stock
46:44actually worth? One common quote you
46:47might have heard is that price is what
46:50you pay and value is what you get. Or in
46:54other words, if you take a look at this
46:56image right here, you want to try to buy
47:00an asset like a stock below what is
47:04called the fair value of the stock. And
47:08we definitely don't want to buy above
47:11the fair value. Uh but now you might not
47:14know what a fair value is. Don't worry,
47:16we will talk about that super super
47:17soon. But first of all a very important
47:20principle you need to learn about is
47:22that a great company the company can be
47:24the best company in the world. It can be
47:26Nvidia. It can be Apple. It can be an
47:29amazing company but it can still be a
47:31bad investment if the price is wrong. So
47:35for example if you take a look at SpaceX
47:38recently in many many ways that is a
47:41super impressive company. you know, it's
47:43pretty much the only space company in
47:45the world that can have a high frequency
47:48of, you know, putting things up in
47:50space. That is completely amazing. But
47:53the question, you know, many investors
47:55are asking is, is SpaceX really worth
47:59the price uh it is at? I think it was,
48:03you know, IPOed at around, I think maybe
48:05$1.5 trillion and it went above $2
48:09trillion while actually not making a lot
48:12of money. So many many investors were
48:15super skeptical about the price and
48:17since then it has actually dropped below
48:20um you know far below uh you know that
48:23valuation. So it still remains to be
48:25seen if SpaceX actually can generate the
48:28revenue to sort of protect that
48:30valuation. But that is just a super, you
48:32know, clear example of why the fair
48:35value is so important. And a fair value
48:38is simply an estimate of what the stock
48:42should actually cost. And the goal as an
48:46investor if you're stock picking is
48:48buying below fair value because this
48:52gives you a margin of safety. And the
48:55margin of safety here is simply the fair
48:58value minus the buying price. As you can
49:01see on I hope you can see. Let me delete
49:04this. I hope you can see on the image
49:06right here. It's simply the fair value
49:08here minus the buying price. And that is
49:10the margin of safety. So we want as high
49:14margin of safety as possible. And here
49:17when it comes to calculating the fair
49:19value of a company, once again this is
49:22something you of course can do on your
49:24own and there are many different sort of
49:28formulas we can use to calculate fair
49:30value. But once again this process gets
49:33much more simple if you use a pre-built
49:37tool. And as I have been using
49:39throughout this course I will be
49:41continue to use uh investing pro for
49:43this. And as I said, if you want to
49:45follow along, I do have a special link
49:47down in the description and the pin
49:49comment. But let's once again, let's go
49:51to our favorite company for now, which
49:53is Nvidia. I'm trying to use it, you
49:55know, throughout the course. So, we get,
49:57you know, a clear red thread throughout
50:01the course here. So, let's open up
50:02Nvidia.
50:04And if you look here, you can see that
50:06we have a box called fire value. And you
50:10can see here that the average calculated
50:13fair value according to this formula is
50:17256.
50:19But if you look right here, you can see
50:20that we can see the live prices. You
50:22know, the prices changes all the time.
50:24Right now it's 200 205.84.
50:28But this price now changed to 205.85.
50:30You can see the prices changes all the
50:32time. But you can see here that we have
50:34a large difference between the current
50:37price and the fair value. And according
50:40to this estimation, we now have 24.7%
50:45upside. So according to the fair value,
50:47Nvidia should be worth 256
50:51around there. So we have a nice buying
50:53opportunity according to the fair value.
50:55But now if you are a sort of if you are
50:59skeptical when you hear things like
51:00that, which you always should be, you
51:03should always be skeptical and verify,
51:05you know, verify the things yourself.
51:08You should ask the question you know
51:10where does the fair value come from and
51:12luckily you can see exactly how
51:14investing pro calculates their f fair
51:17value. So here you can see that the
51:19investing model
51:21that investing pro uses is is basically
51:25based on all of these financial metrics.
51:28Remember earlier in the course we
51:30learned about financial metrics like the
51:33PE ratio. You already know what the PE
51:35ratio is. uh for example the price to
51:38sales is a very similar ratio that is
51:40when we take the price divided by the
51:42sales instead of the earnings and so on
51:44and so on and if you really want to
51:47understand where the fair value comes
51:49from I actually recommend to learn about
51:51all of these metrics it might sound
51:53complicated right now but many of these
51:56metrics are just multiples of the same
51:58thing and another thing is that you
52:00don't have to learn this you have you
52:02can take the the fair value for what it
52:06is at least for now because we do have
52:09other ways to calculate the fair value
52:11as well. One very simplified way to
52:15calculate the fair value is that you can
52:16use other analyst targets. So you can
52:20see that here this is a number based on
52:23analyst targets. So these are other you
52:26know professional investors and what
52:29they uh expect Nvidia to be to be worth.
52:32So you can see that the analyst actually
52:34believe that Nvidia is worth even more
52:38than what the model uh expects. So you
52:40can see that the analyst here say that
52:42Nvidia should be worth around around
52:45three $300 US. So if you want to you can
52:48maybe combine both of these these so
52:51both the analyst target and the
52:53investing models and say that yeah maybe
52:55the price should be around 275
52:58if we use both the calculated fair value
53:00as well as the analyst target. But now
53:03let's quickly take a look at another
53:05company because I do want to take a look
53:07at a more controversial company which is
53:10you know Tesla. Uh so let's open up
53:12Tesla right here. And as you know Tesla
53:16has for a long time been criticized for
53:18being you know valued too high. And here
53:23very very interesting interestingly we
53:26can see that if we look at the fair
53:28value according to the model remember we
53:30still have all the calculations for the
53:32model right here. You can see that the
53:35fire value of Tesla according to this
53:37model is 276
53:40which is actually way below the current
53:44price of 379.
53:47However, if you look at analyst targets,
53:50you can see that the target is at around
53:53425.
53:55So, it should probably be adjust
53:57adjusted a little bit to the upside. So
54:00if you are in investing purely on a fair
54:04value model in simple terms Nvidia looks
54:08to be a better investment than Tesla.
54:10But when it comes to Tesla there are
54:12many things that are hard to me to to
54:15measure that makes the company valuable.
54:17And the most simple thing when it comes
54:20to the valuation of Tesla which is hard
54:22to measure is because of the CEO Elon
54:26Musk. the market simply values or this
54:29is my opinion the market simply values
54:31Tesla more because of Elon Musk and his
54:34track record. So let's say that Elon
54:37Musk you know stop being the CEO of
54:39Tesla. He stops working for Tesla. Then
54:42I would expect the company to drop down
54:45a lot. Maybe it would actually drop down
54:48to the fair value. If it drops down to
54:51the fair value then we can say that yeah
54:53the sort of the sort of extra factor
54:55that that made Tesla you know having we
54:58call it to have up premium what made
55:00Tesla have the premium was actually Elon
55:02Musk himself. So one important lesson
55:05from this is that yes fair value is a
55:08very useful tool but there are some
55:11things that is not included in the model
55:14right so for example if you scroll down
55:16here we can see that Elon Musk is not
55:18included in the model. So that is you
55:20know one of these things that are really
55:22hard to measure.
55:25All right. So now it's time to take a
55:26look at how to analyze the health of a
55:30company in order to decide if you know
55:33you should buy or sell a stock. It's
55:35very important to be able to analyze you
55:37know how is the company actually looking
55:40under the hood. So for example how is
55:43the depth looking? How is the cash flow
55:46looking? And so on and so on. how is the
55:47profit profitability and to do this we
55:51can actually measure something known as
55:52a health score. So a health score is a
55:56metric that combines things like
55:58profitability as I said growth cash flow
56:01very important cash flow how how much
56:04cash is actually flowing in and out of
56:06the company and also debt here and the
56:09health score can be used as a very you
56:12know first filter so you can quickly get
56:16a glance over the company. So how is the
56:18company company you know looking at a
56:21sort of broad lens and then if you want
56:23to you can of course dive deeper into
56:26the actual numbers and when it comes to
56:28looking at the specifics there are a few
56:30warning signs that you really need to
56:32look out for and one of the most classic
56:35warning signs is that if we have both a
56:38high debt and we also have a falling
56:41cash flow that is a strong warning sign
56:42because that is an indication that we
56:45might not be able to pay back our debt
56:47if our cash goes down and if our, you
56:49know, depth is high, how will we be able
56:52to pay back that depth? But as I said,
56:55if you look at this image right here, we
56:57have a health score here and it looks
56:59like a measurement like this. And now
57:01let's jump back into investing pro. All
57:04right. So now we are once again back
57:06here in investing pro. And I once again
57:10want to emphasize because every time I
57:12use indust pro, I want to emphasize that
57:14all of this can be done completely for
57:17free. The only difference is that it
57:19takes, you know, a lot of more time to
57:21do all of these calculations yourself.
57:23But investing is really one of these
57:25things that if you have the time, you
57:26can do all of these things for free. But
57:29if you, you know, don't have the time to
57:32dive super deep into everything and do
57:34the calculations, you can use a
57:36pre-built tool like investing pro. And
57:39to uh now let's once again let's go back
57:42here to Nvidia that we have used
57:44throughout the course. And if you scroll
57:46down here, you can see that one amazing
57:49thing about investing pro is that it
57:51also has a tab here for the financial
57:55health. So you can see here that the
57:58financial health for Nvidia is
58:00determined by ranking the company on
58:02over 100 factors and it compares these
58:07factors in the information technology
58:11sector. So it looks how good is Nvidia
58:14compared to you know similar companies.
58:17So that is super super important and you
58:19can see here that overall Nvidia is
58:21ranked you know the ranking goes from
58:23one to four and it's ranked four on most
58:25metrics. So four on growth health, four
58:28on price momentum. It's very very
58:30profitable here on five. Uh but it's
58:32ranked two here on relative value. But
58:35if you only look at one thing here, you
58:36can look at that the overall score is
58:39excellent. It's very very in a very very
58:42sort of financially healthy state. And
58:45if you want to dive even deeper, you can
58:46click here on health details. And there
58:49are, you know, so much to dive into. As
58:51I said, it's based on 100 metrics and
58:54you can, you know, dive super super deep
58:56into this. But unfortunately, we don't
58:58really have time to dive into all of
58:59these all of these measures in this
59:03video. But if you are a nerd like me,
59:05there are so much there are so much
59:07depth in this platform. For example, if
59:10you want to dive super deep and have a
59:12like professionalgrade report, you can
59:14click uh right here where it says Nvidia
59:17Pro Research and you will open up this
59:19full report on Nvidia and you can really
59:22really you know dive deep into the
59:24numbers. All right, so now it's finally
59:27time to take a look at one of the
59:29highlights of the course because this is
59:31a very very practical section of the
59:34course. This is how we can actually copy
59:37famous investors like for example you
59:41know Warren Buffett or maybe you want to
59:44co copy famous investors like Ray Dalio
59:48and so on and so on. This is really
59:50really magical and one sort of aha
59:53moment that many of you guys might not
59:55know is that these are actually public
59:59portfolios. So Warren Buffett and Ray
1:00:01Dalio has to report uh what they are
1:00:04holding. So if you want to, you can
1:00:06simply just copy what they are doing.
1:00:08But I want to give one warning sign
1:00:10right away is that I usually don't
1:00:12recommend to just blindly copy exactly
1:00:16what uh you know people are doing. And
1:00:19the reason for this is that I think you
1:00:21should at least have an understanding of
1:00:23what you are holding because an investor
1:00:25like Warren Buffett, he might buy a
1:00:27stock for one reason and you might not
1:00:30agree with that reason. You know, he has
1:00:32been investing for, you know, maybe 80
1:00:35years now. So he will have completely
1:00:37different goals uh than you might have.
1:00:40Maybe Warren Buffett right now just want
1:00:42to keep his wealth. Maybe he doesn't
1:00:44want to grow it as fast anymore. So you
1:00:46want to understand you know the reason
1:00:48behind behind the investors and then if
1:00:51you decide that they have the same you
1:00:54know motivations and may maybe the same
1:00:56past performance as you then you can
1:00:58just copy their portfolios if you want
1:01:00to. But here as I said the portfolios of
1:01:03legendary investors are public and just
1:01:06two examples of investors you can copy.
1:01:08As I me as I mentioned you can cope with
1:01:10Warren Buffett which is known for owning
1:01:13quality businesses for a long long time.
1:01:16Another super you know famous investor
1:01:19you probably heard about it heard about
1:01:21him it's Ray Dalio and he's known for
1:01:25more diversification and he basically I
1:01:28would I would call him a macro investor.
1:01:30So he looks at he usually zooms out a
1:01:33lot and look at the big picture and
1:01:35invests based on that. So he has a
1:01:38diversification across assets and
1:01:40economies. And as I briefly mentioned,
1:01:44you want to study the reasoning behind
1:01:46the picks. And this is maybe a little
1:01:48bit too harsh of an advice, but never
1:01:52blindly copy them. You can copy them,
1:01:54but don't just go in blind and fully
1:01:56copy them. And here to find other
1:01:59investors portfolios is super super
1:02:02simple inside investing pro. Uh all you
1:02:04need to do here is that you go to the
1:02:06ideas tab right here and then as you can
1:02:10see you have tons of different
1:02:12portfolios and you can see exactly how
1:02:14they have performed. You can see exactly
1:02:16what is inside the portfolios and so on
1:02:19and so on. So one of the most common one
1:02:21is of course Warren Buffett. So all you
1:02:24need to do here is that you can search
1:02:25for an investor. Let's just say we
1:02:26search for Warren uh Buffett and here
1:02:29you have Warren Buffett's portfolio. So
1:02:31you can just click right there and here
1:02:34you have a nice summary of all uh Warren
1:02:37Buffett's stocks. So if you scroll down
1:02:39here you can see all the stocks here
1:02:41that Warren Buffett is holding. And here
1:02:43one very interesting thing about
1:02:46Warren's investing that might be a
1:02:48little bit counterintuitive
1:02:49is that as you will see the top holdings
1:02:52like Apple, American Express and
1:02:54Coca-Cola they actually take up a very
1:02:58large amount of the portfolio. The top
1:03:00three stocks here are almost like 50% of
1:03:05his whole portfolio. And this is one
1:03:07thing you will notice about successful
1:03:09invest investors is that they are are
1:03:11often not super diversified. Many times
1:03:15they will actually be very concentrated.
1:03:18And that is because in order to beat the
1:03:20market, in order to perform better than
1:03:22the market, you usually need to focus on
1:03:25the few companies where you actually
1:03:27have an edge, where you think that you
1:03:30know actually know something better than
1:03:32the market. And it's impossible to to
1:03:34know you know uh maybe it's impossible
1:03:38to know everything about 500 stocks. So
1:03:41it's better to focus on few stocks that
1:03:44you really really think will beat the
1:03:46market. But as I said by focusing on few
1:03:50stocks it you will also have more risk
1:03:53but the best investors will get more
1:03:55reward by doing like this. And here as I
1:03:59said we can look at other people's
1:04:01portfolios. So once again we can can go
1:04:03back here to the ideas tab in investing
1:04:06pro. We can go here and search for maybe
1:04:08Ray Dalio. And just like that you can
1:04:10see Ray Dalio's portfolio appears right
1:04:12here. We can see exactly what Ray Dalio
1:04:15is holding. as you can see, holding a
1:04:16lot of Nvidia. Um, but we can go back to
1:04:20the ideas tab as well. And if you want
1:04:21to, you can go down here and filter on
1:04:25what type of portfolios you want to see.
1:04:28Maybe you only want to look at
1:04:29billionaires, then you can press right
1:04:31here and all of the billionaire
1:04:33portfolios will appear and so on and so
1:04:35on. But yeah, as I said, if you want
1:04:37access to all of these billionaires uh
1:04:40portfolios and if you want to follow
1:04:42along, you know, throughout the rest of
1:04:43the course, we're actually soon going to
1:04:45talk about some of the pre-built AI
1:04:48investing strategies as well as the uh
1:04:51Warren AI. Uh if you are interested in
1:04:54this, I do have the special link to
1:04:55Investing Pro uh down in the description
1:04:58and pin comments.
1:05:00But right so now then now it's time to
1:05:03take a look at how to build your own
1:05:06portfolio. So what are the core
1:05:08principles of building a great mix of
1:05:11stocks that will make money while you
1:05:14sleep? And here the first key concept
1:05:18that you need to learn about is
1:05:20diversification. And the principle here
1:05:22is simple. You want to spread your money
1:05:24across companies, sectors and preferably
1:05:28even companies. Why is this? Well, you
1:05:31might have heard uh of the saying that
1:05:33you don't want to put all your eggs in
1:05:36the same basket because if you drop the
1:05:38basket, you know, all the eggs get
1:05:40destroyed. And the same thing is true
1:05:42here with investing. So, let's say that
1:05:44you believe that AI is the future and
1:05:47you are really really interested in
1:05:49investing in the building of the
1:05:51infrastructure needed for AI. The
1:05:55problem here is that this might be a
1:05:57super good investment, but let's say
1:05:59that you only buy, you know, one AI
1:06:02company. You bet all your money in one
1:06:04AI company. Your uh thesis that AI is
1:06:08the future might be correct. uh just as
1:06:11how you know during the you know when
1:06:14internet got started during the dotcom
1:06:16bubble in around year 2000 you know many
1:06:20companies actually went completely to
1:06:22zero completely bank bankrupt even
1:06:25though internet really became the future
1:06:29so you can be you can be super right but
1:06:32if you invest in only one company you
1:06:34have the risk of losing all your money
1:06:37so that is why it's so important to
1:06:39spread your risk
1:06:40So this is what I'm trying to show with
1:06:42this image right here. Preferably you
1:06:45want to spread your risk here between
1:06:47different industries and even you know
1:06:49different uh different countries. So for
1:06:52example for me I'm from Sweden. I own
1:06:54both stock you know Swedish stocks but I
1:06:57also own a lot of stocks in the US. Uh I
1:07:00personally I even own you know
1:07:02cryptocurrency and so on and so on. And
1:07:04here a simple rule of thumb especially
1:07:06if you are a beginner is to keep any
1:07:09single stock under around 5 to 10% of
1:07:13your portfolio. Of course this is not a
1:07:16rule that you have to follow. For
1:07:17example, remember what we looked at
1:07:19earlier uh Warren Buffett currently
1:07:22holds 22% of his capital in Apple. So
1:07:25this is definitely not a rule you must
1:07:27follow, but it's a very good uh rule
1:07:30especially for beginners. And here
1:07:32another very useful strategy is
1:07:34something known as dollar cost averaging
1:07:37or for short DCA. And this is basically
1:07:40when you invest a fixed amount every m
1:07:43every month. So this is basically that
1:07:45you automatically buy more when prices
1:07:48are low. And to show you guys the reason
1:07:50why dollar cost averaging or DCA is so
1:07:54so useful, let's actually jump into
1:07:57Trading View here. So, Trading View is
1:08:00the platform I use for all my charting.
1:08:03Uh, as you guys know, we have lots of
1:08:05trading content here on the channel and
1:08:06Trading View is the platform I use for
1:08:08all for all of that. Uh, but nowadays,
1:08:11it also has, you know, lots of
1:08:12fundamental analysis tools. And if you
1:08:16want a sort of free alternative to
1:08:18Investing Pro, you can actually check
1:08:20Trading View out because it does have a
1:08:22good free version. Uh, and I also have a
1:08:25link to Trading View in the description
1:08:27and the comments. Um, but here to show
1:08:30you guys why DCA is so so important.
1:08:34Let's look at this chart right here. If
1:08:37you buy, let's say, every every month,
1:08:40let's actually switch this to a monthly
1:08:43uh monthly time frame. That means that
1:08:46on every candle right here, you buy,
1:08:48which means that you buy down here, but
1:08:51you also buy up here, but you also buy
1:08:54down here, and you also buy up here, you
1:08:56also buy down here, and so on and so on.
1:08:58So instead of having the risk at buying
1:09:01at the exactly wrong place, let's say
1:09:03that you put all your life savings in up
1:09:06here, you put in everything you own uh
1:09:09up here. And for some reason, I'm
1:09:11definitely not saying that this is going
1:09:12to happen, but let's say that we have a
1:09:14brutal crash like we had right here.
1:09:17Let's say we get a brutal crash. That
1:09:19would be so so unlucky to enter all of
1:09:21your money and then losing maybe, you
1:09:23know, 20% of it. Maybe losing all of it.
1:09:26But if you instead if this crash instead
1:09:28comes like this but you invest you know
1:09:31all the way down. So you invest right
1:09:33here right here right here right here
1:09:35right here right here then you can see
1:09:37that your risk is much more spread out.
1:09:40You will basically get an average price
1:09:42instead of risking buying at the top.
1:09:45And now if you want to build a portfolio
1:09:48my favorite tool for this is to actually
1:09:50use the watch list here inside investing
1:09:53pro. So to use the watch list you you
1:09:56can do it in many ways. The most simple
1:09:59way to use it is to simply add companies
1:10:01you are interested in you know manually.
1:10:03So you can click add a company right
1:10:04here. And let's say that we want to add
1:10:06you know Nvidia uh let's say that that
1:10:09we also want to add uh Tesla maybe you
1:10:12know uh Apple and so on and so on. So we
1:10:15can add these three companies and just
1:10:17like that it appears here in the watch
1:10:19list. You can see the live price
1:10:20movements. You can see here the fair
1:10:22value, how much upside and downside they
1:10:24have, and all of the health metrics we
1:10:26have been talking about in this course.
1:10:28You also have metrics on risks, returns,
1:10:30efficiency, projections, health, and so
1:10:32on and so on. But this right here is
1:10:34just one way to add things to your watch
1:10:38list. Another way you can you can do is
1:10:40that you can actually go to the ideas
1:10:42tab and let's say that you want to focus
1:10:44on the exact same things that Ray Dalio
1:10:46is focusing on. Then you can see that
1:10:48you can just go up here and click copy
1:10:51to watch list. So you can import all of
1:10:54these stocks to a new watch list. You
1:10:56can press yes right here. And just like
1:10:59that, you can see that we have Radalio's
1:11:02full portfolio here. All of the
1:11:03companies that Ray Dalio has is now in a
1:11:06watch list. So now, as you can see, we
1:11:08have two watch list right here. We have
1:11:09the first one, which is just called my
1:11:11watch list for now. We can rename it to
1:11:14be let's just call it maybe main watch
1:11:16list and click save right here. So we
1:11:19know that this is our main watch list
1:11:20and then we also have radalio. But
1:11:22another way we can use uh you know we
1:11:26can build up our watch list is to
1:11:27actually use the builtin AI tool. We can
1:11:30for example say find the best the best
1:11:34stocks based on fair value financial
1:11:38health and momentum.
1:11:42>> [clears throat]
1:11:42>> They should be a top 100 US company
1:11:48based on market cap. And just like that,
1:11:51we can just ask the AI to do this
1:11:54analysis for us. And we need to wait a
1:11:57little bit here and we will be right
1:11:59back soon when the analysis is done. All
1:12:02right. All right. So now the analysis is
1:12:05done and at the top here you get a very
1:12:07nice summary. You can see summary.
1:12:09Nvidia, Microsoft and Amazon lead the
1:12:12pack of the top US giants combining over
1:12:1520% fair value and then you get a little
1:12:19snapshot right here. You can see a
1:12:22rating of the financial health and you
1:12:24can also see the fair value upside right
1:12:27here. So for example, you can see that
1:12:29for example Adobe has a fair value
1:12:31upside of 72% and so on and so on. So,
1:12:34what you can see, my camera is a little
1:12:36bit in on the in the way. So, I'm going
1:12:38to take away my camera. But you can see
1:12:40that you get suggested uh pics, stock
1:12:43pics down here in the bottom right
1:12:44corner. So, let's say that you are
1:12:46interested in, let's say we want to add
1:12:48the three pics uh we got right here. So,
1:12:51we want to add, you know, uh Amazon. So,
1:12:54we add it to watch list and we want to
1:12:56add Microsoft to watch list. Let's also
1:12:58maybe add Adobe because as you can see
1:13:00Adobe had, you know, 72%
1:13:04fair value upside. We can also press the
1:13:06star here to automatically add it to our
1:13:08watch list. And now if we go back to the
1:13:11watch list here, you can see that all of
1:13:13the stocks suggested by the AI is now in
1:13:17the watch list. Another cool thing with
1:13:19Warren AI, if you really like to look at
1:13:21charts as well, which I really love to
1:13:24do, is that you can simply press on the
1:13:25stock right here. And just like that,
1:13:27you will also have an, you know, builtin
1:13:30chart. And I know this is not a
1:13:33technical analysis video, but you do
1:13:35have, you know, pretty much most of the
1:13:37technicals that we have in trading view.
1:13:38So you can, for example, use, you know,
1:13:40a Fibonacci retracement to, for example,
1:13:42you can see this one is currently almost
1:13:43at the 0.618 level right here. We can
1:13:46add indicators like the MACD if we want
1:13:49to and so on and so on. So you can
1:13:50basically basically here have a workflow
1:13:52where you have your chart to the right
1:13:55and you have your AI uh Warren AI AI
1:13:59here to the left. But yeah guys, I'm
1:14:01sorry I'm realizing I'm getting a bit
1:14:03off topic right here, but it's just cool
1:14:05to show you guys all of the features
1:14:07that are now inside uh investing pro.
1:14:11All right, guys. So, now it's time to
1:14:13take a look at investing with AI. And
1:14:16this chapter is without a doubt the
1:14:19chapter I am personally most excited for
1:14:22to show you guys in my personal opinion
1:14:25using AI to invest right now. It feels a
1:14:28little bit unfair. It feels like an
1:14:30unfair advantage because you know AI has
1:14:33gotten you know so much better so
1:14:36quickly and it feels like most people
1:14:38are still sleeping on it. You know smart
1:14:41money like the big banks and hedge
1:14:44funds. Think about people we have been
1:14:46talking about throughout this course
1:14:47like Ray Dalio. They have been using AI
1:14:50for decades. But the amazing thing about
1:14:54today's day and age is that the most
1:14:57powerful AI models like for example the
1:15:00recent model by Claude uh which is Fable
1:15:035 is now available to retail investors
1:15:06like me and you. So we basically have
1:15:09the same power as Wall Street. And when
1:15:12we combine you know for example the
1:15:14institutional level data that is that
1:15:17you can get from for example investing
1:15:20pro together with AI that combination is
1:15:23actually so so strong. And I think that
1:15:25in the coming years, the difference
1:15:27between an investor that you know
1:15:30masters using AI and an investor that is
1:15:33not really good at using AI will be
1:15:37massive. But here the two main AI tools
1:15:40I want to show you guys today is first
1:15:42of all a tool called Warren AI and this
1:15:45is basically like a chatbot like claude
1:15:49or chatbt but it's built upon the
1:15:53premium uh the premium grade data that
1:15:56you get from investing pro. So it's it's
1:15:58a b basically like a shackt that is
1:16:01plugged into premium data. So that's the
1:16:03first AI we will look at. And the second
1:16:06AI we're going to take a look at is
1:16:08called Proix AI. And this is like a
1:16:11complete system. It's a complete AI
1:16:14investing and trading system where AI
1:16:16basically picks all the stocks and it's
1:16:19across, you know, more than 25
1:16:21countries. There are so many strategies
1:16:23here and the portfolios get updated
1:16:26automatically each month. But when it
1:16:29comes to AI, especially in today's day
1:16:31and age, it's it's still very important
1:16:35to mention that we are still in a moment
1:16:38where AI can be super good assistance,
1:16:41but they cannot completely uh replace
1:16:45humans at least yet. Maybe in a few
1:16:47years they can completely replace
1:16:48humans, but we are not there yet. So you
1:16:51you should use an AI as a professional
1:16:54assistant, but at the end of the day,
1:16:55it's you that take the decisions. All
1:16:58right. So now we're once again in
1:17:00investing pro here. Here is the sort of
1:17:03watch list we recently built. Uh but now
1:17:06I actually want to move here to the prop
1:17:10AI tab. So this right here is the tab
1:17:12inside uh investing pro where you can
1:17:15find all of these pre-built trading
1:17:17strategies. My favorite trading strategy
1:17:19which has performed super super well is
1:17:22called IT15.
1:17:24I can see that this trading strategy has
1:17:26a total return of around 3,200%
1:17:30with an an analyzed return of 30%. And
1:17:34this is absolutely, you know, amazing in
1:17:36my opinion. I actually remember I made
1:17:39uh a video about this uh trading
1:17:41strategy from quite a while ago. I think
1:17:44I made a video when it was around down
1:17:47here. So, it was was at around 2,000%
1:17:50profit and since then it has been going
1:17:53up to a peak of all the way up here. It
1:17:56looks like, you know, pretty much 3,000,
1:17:58you know, much more than 3 pretty much
1:18:003,500% profit, even more than that. So,
1:18:03this trading strategy has performed
1:18:05amazingly since I made that video. And
1:18:09you might wonder, you know, how does
1:18:11this work? Well, as you can see here, uh
1:18:14stocks get added and taken away each
1:18:17month. So, for example, in uh you know,
1:18:19this month, you can see that some new
1:18:21stocks got added. For example, uh
1:18:23NetApp, On uh Skyworks, Oracle, all of
1:18:27these got added. And if we scroll down a
1:18:29little bit more, you can see here some
1:18:31of the stocks that got removed. For
1:18:33example, uh you know, Click uh onto onto
1:18:36Photonix and so on and so on. And here
1:18:39if you want to check the full portfolio
1:18:41you just go to this tab right here the
1:18:43portfolio tab and you can see the whole
1:18:45strategy right here. But as always and
1:18:48as I have been teaching throughout this
1:18:50whole course I highly recommend to be
1:18:53skeptical and do your own analysis. So I
1:18:56do want you to you know look at these
1:18:58stocks and sort of take a look at you
1:19:00know analyze the risk analyze the
1:19:03returns uh you know take a glance at the
1:19:05health and so on and so on. And here if
1:19:07you go to the about setting you can get
1:19:09a nice overview of the whole sort of
1:19:13portfolio. You can for example see right
1:19:15here how the IT15
1:19:18compares to other portfolios like for
1:19:20example the S&P 500 and other portfolios
1:19:24as well. You can see that we do have a
1:19:26strong overperformance in general. But
1:19:30as always, it's important to, you know,
1:19:32have disclaimers that the information uh
1:19:35presented in the Propics AI is for
1:19:37general information purposes only and
1:19:39should not be considered, you know,
1:19:41legal, tax, or accounting or any kind of
1:19:44of advice. So, I highly recommend to,
1:19:47you know, read the disclaimer right
1:19:49here. And another tip is that you can,
1:19:51of course, you know, look at the
1:19:52portfolio, but maybe there are, you
1:19:54know, maybe one or two companies that
1:19:56you don't like for some reason. Maybe
1:19:58you think that you have some information
1:19:59that the market is sleeping on. Then you
1:20:02can simply just remove these stocks or
1:20:04maybe you want to add some more stocks.
1:20:06So you definitely don't have to follow
1:20:07the strategies, you know, exactly. You
1:20:10can sort of mix and match between your
1:20:12knowledge and the sort of AI knowledge.
1:20:15But what is of course hard to ignore is
1:20:17the amazing performance here by the
1:20:20IT15. But we are actually not we're
1:20:23actually not stopping there because
1:20:24there are so many other strategies as
1:20:26well. For example, this strategy right
1:20:28here based on energy. We have, you know,
1:20:32uh, if you like value stocks, we have a
1:20:34strategy for that. And as you can see,
1:20:36we have so many different trading
1:20:38strategies. So, you can really sort of
1:20:40browse through them all and find the
1:20:42trading strategy that is best for you.
1:20:45But next, the other AI tool that you
1:20:47really need to to learn about is the
1:20:50builtin uh sort of chatbot in investing
1:20:53pro. This one right here is called
1:20:55Warren AI. And if you are, you know,
1:20:58really careful and skeptical, your first
1:21:00question should be, you know, but I
1:21:03already have a chatbt account. Why would
1:21:06I use another chatbot? And I would say
1:21:09that the main difference, the
1:21:11intelligence of these chatbots, I'm not
1:21:13exactly sure what underlying model is on
1:21:16Warren AI, but the very big difference
1:21:18here is that I would say it's the data
1:21:20the model is built upon. So in simple
1:21:24terms, chatbots like chatbt basically
1:21:27remembers and memorizes thing about the
1:21:30market while this chatbot uses the live
1:21:34market data and it uses the same data
1:21:36that institutions pay money for. All
1:21:39right, so let's try to put this chatbot
1:21:41into work here. One very nice trick I
1:21:44have if you have another uh AI like for
1:21:47example chatbt or claude is that you can
1:21:50use this AI to basically use voice
1:21:52dictation. So you can record your voice
1:21:55and text will automatically appear. So
1:21:57let's do that to make it a little bit
1:21:59more you know simple and just seamless.
1:22:01So let's take a prompt right here.
1:22:05All right. Hello Warren AI. I'm
1:22:08currently doing some stock investment
1:22:11research and what I want you to do is
1:22:13that I want you to find the best AI
1:22:17stocks right now and it should be based
1:22:20not only on you know the financial
1:22:22health but I also want you to take the
1:22:24fair value into account and I also want
1:22:29you to take future growth pro
1:22:32projections into account. So use all of
1:22:36these factors together and find me the
1:22:38top five best stocks based on this. So
1:22:42now we have the text right here and we
1:22:44can just uh Ctrl C and paste it into
1:22:48Warren AI and then we press enter. And
1:22:50now we just need to wait a little bit
1:22:52and wait for the AI to do its research.
1:22:56All right. And just like that we have
1:22:59the full analysis. We get five names. uh
1:23:02EPAM systems, Gartner, Adobe, Sprouto
1:23:06and so on and so on. And we can scroll
1:23:09down here and see why. As you can see,
1:23:11all of these companies have, you know,
1:23:13fair value upsides of, you know, you
1:23:16know, it looks like 70% or even more.
1:23:19You can also right here take a look at
1:23:20the different uh earnings per share
1:23:23growth forecast. For example, this one
1:23:25right here with a forecast of 226%.
1:23:29Absolutely crazy. However, the financial
1:23:32score is a little bit different. For
1:23:34example, this one right here, Sprouto
1:23:37seems to have a, you know, not the best
1:23:40health score right here. And if we want
1:23:42to dive deeper into any of these
1:23:43companies, we can, for example, click
1:23:44right here to open up a tab on, uh, you
1:23:47know, Sprite Social. You can see right
1:23:49here that the health score definitely
1:23:51could have been value uh, could could
1:23:53have been better, but the fair value
1:23:56says that it's, you know, definitely
1:23:58definitely undervalued. So that is uh of
1:24:01course amazing. Uh and if we scroll down
1:24:04here we get some more key insights. All
1:24:06five trade at forward PEG ratios well
1:24:09below one and you learned from earlier
1:24:12in this course that this is exactly what
1:24:13we want to see. Uh and so on and so on.
1:24:16You have some growth trajectories. You
1:24:18have some news for the different
1:24:20companies. And here you also get
1:24:22potential follow-up questions. So it ask
1:24:24you want do you want a side by side side
1:24:26ch short of these five stocks with
1:24:28revenue growth uh and profit margins. So
1:24:31why not let's just say yes sure like
1:24:34that. And while the chatbot is uh
1:24:37working right here I actually do want to
1:24:39mention that one thing one downside
1:24:42about this chatbot is that you don't get
1:24:44a lot of credits. I do think that maybe
1:24:47for free I think you maybe get five
1:24:49prompts or something like that. Uh but
1:24:52on the next paid plan, you will get 50
1:24:55prompts per month and that is in my
1:24:57opinion well than enough for many
1:25:00investors. But if you're taking uh
1:25:02investing super seriously and want the
1:25:04full uh full uh AI with 500 promps a
1:25:08month, uh then you need the highest
1:25:10version of investing pro. But luckily, I
1:25:13actually just recently checked by using
1:25:15my link uh down in in the description as
1:25:18well as the pin comment. Uh you will get
1:25:20to this page right here. And we do have
1:25:23a massive July sale going on right now.
1:25:26And you can actually get up to 60% off
1:25:29on Investing Pro. And on top of that,
1:25:32when you click on claim sale, you can
1:25:35read a little bit about the main
1:25:37differences here between the plans. One
1:25:40very big difference is the amount of
1:25:42credits for the warn AI. As I said, it's
1:25:4450 on Pro, it's 500 on Pro Plus. Another
1:25:47big difference is that you get all of
1:25:49the ProPix uh AI trading strategies
1:25:52here, which is 88 investing strategies
1:25:55in the Pro Plus plan. Uh in this plan,
1:25:58you only get six ProPix AI strategies
1:26:01for the US uh for the US market. Um it's
1:26:04also a little bit difference in the
1:26:06amount of financial data, the quality of
1:26:08the data and so on and so on. But as I
1:26:10said for beginners, I definitely think
1:26:11think that pro is a good way to start
1:26:14and to get the best offer. You need to
1:26:16do the buy yearly plan. But when you
1:26:19click claim sale here, if you use my
1:26:21link, you can see that you will also get
1:26:23an additional 50% off. So it's 60% off
1:26:27and then an additional 15% off. But
1:26:31right so now the AI is done uh you know
1:26:34thinking here and we get a nice
1:26:36comparison here between the uh margins
1:26:39of the different companies for five
1:26:41years here. So you can compare the
1:26:42margin margins and you can also here
1:26:44compare all of the companies different
1:26:46growth. You can see we have a relatively
1:26:49high growth on most companies, but you
1:26:51can see that for example uh the Sprout
1:26:54uh company, the blue line right here has
1:26:56been falling quite a bit lately and that
1:26:58is probably you know a big reason why
1:27:00the uh company's stock price have been
1:27:03tanking so much. We can also see the
1:27:06EBITD DA margin right here and here you
1:27:09get a sort of final verdict.
1:27:12But all right guys, uh I'm seeing that
1:27:15this course is getting very very long.
1:27:17So it's about time for me to start
1:27:20wrapping up. Uh but before we wrap up, I
1:27:22of course want to thank you all so so
1:27:25much for being with me here today. I
1:27:28really hope that this uh you know full
1:27:30course on investing was helpful. Um, and
1:27:34if this course helped you uh understand
1:27:36investing, I would appreciate so so much
1:27:39if you can show that by dropping a like.
1:27:43Uh, that is the sort of simple free way
1:27:45to support the channel right here. And
1:27:47also, do you have any questions about
1:27:50this course? Or even more importantly,
1:27:52do you have any feedback on what you
1:27:54want to see next on the channel? H
1:27:56please guys, make sure to drop a comment
1:27:59down below. I try my very best to read
1:28:01and answer to as many comments as
1:28:03possible possible. Recently the comment
1:28:05section has been it has been a little
1:28:07bit too much for me to answer to every
1:28:09single one but I really really try my
1:28:12best. Uh and also guys if you made it
1:28:14all the way to the end make sure to drop
1:28:17a comment down below saying full course.
1:28:20Uh that is a fun way for me to see that
1:28:22you watch the full course and it's also
1:28:25a way for you guys and me to sort of
1:28:28confuse, you know, the audience that
1:28:29didn't watch it all the way to the end.
1:28:31That is a nice way to to do that. Uh but
1:28:34yeah, guys, if you're interested in more
1:28:36uh content on both investing and
1:28:39trading, uh don't hesitate to subscribe.
1:28:42I plan to make more videos on investing,
1:28:45uh trading, and AI in the future. But
1:28:48yeah, guys, I hope I will see you guys
1:28:50in the next video very soon. But for
1:28:52now, take care. Chowo chiao. All right,
1:28:54guys. So, now you know how to invest and
1:28:57you know how to use AI to invest. If
1:29:01you're interested in diving deeper into
1:29:03how to use AI to trade, I highly
1:29:07recommend to check out this course on
1:29:09how to connect your Claude directly to
1:29:12Trading View.

About this transcript

This page contains the full transcript of MASTER Investing in 89 Minutes (Start With Just $1) by Mind Math Money, generated from the public captions YouTube serves with the video. The transcript has 15,488 words across 2,074 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.