TRANSCRIPTEnglish

PREPARE for the Coming Recession & Market Reset (3 Steps)

27m 52s4,517 words664 segmentsEnglish

FULL TRANSCRIPT

0:00

in January of 2022 I predicted that the

0:03

market would crash sh the dancers shut

0:07

them I predicted that there would be

0:09

bank failures the water will spill over

0:11

the tops of the bulkheads at EC from one

0:15

to the next back and back there's no

0:17

stopping it the pumps if we open the

0:20

doors the pumps by a time but minutes

0:22

only failed stable

0:28

coins

0:35

I predicted the stock market would fall

0:37

that bonds would

0:46

suffer spaxs would

0:51

suffer and cash would be the best asset

0:55

to move into in fact you could see those

0:57

videos in full linked down below both

1:00

the Titanic crash part one and two which

1:02

I edited and posted in January of 2022

1:05

they're still live back then I was made

1:07

fun of for suggesting people should move

1:09

to cash because they thought oh well

1:11

inflation is so high why would I move to

1:13

cash of course that ended up being the

1:15

right answer moving to cash gave you the

1:17

opportunity to buy things cheaper in the

1:19

future now we are at a point in the

1:23

economy where at some point the market

1:25

will crash again but we don't have the

1:27

clarity that we did at the beginning of

1:30

2022 beginning of 22 it was pretty clear

1:33

that the market was going to crash

1:35

imminently presently we don't have that

1:37

imminence but we can predict how the

1:41

next crash will form so that way we

1:44

could be prepared when we start seeing

1:46

some of the early signs so in this video

1:49

we are going to go through the three

1:52

steps of how the next market crash could

1:55

unfold we are going to go through each

1:58

of these three step steps and explain

2:01

them starting now the first thing we

2:04

have to know is we have to throw up on

2:06

screen the history of the Federal

2:09

Reserve interest rates what you're going

2:11

to notice is that usually when the

2:13

Federal Reserve Cuts rates it very

2:16

nominally Cuts rates when it cuts rates

2:19

slowly if anything it's more likely to

2:21

raise rates again before cutting rates

2:23

dramatically instead Federal Reserve

2:26

usually Cuts rates when we're about to

2:28

move into a Panic into a disaster that's

2:32

when we get serious rate cuts and so

2:36

that's why in this video we're going to

2:37

explain how these three steps could lead

2:41

to the next Market meltdown again I want

2:43

to be very clear I'm not calling for a

2:46

mega crash or correction anytime soon I

2:48

don't have the best Clarity in terms of

2:51

when this next crash could come but I

2:54

think it will follow these three steps

2:56

on screen let's explain one at a time

3:00

First artificial intelligence there is a

3:03

lot of enthusiasm around artificial

3:05

intelligence today because we believe

3:07

that artificial intelligence will lead

3:10

to more productivity and therefore more

3:13

output faster vacine research uh faster

3:18

and more conclusive legal research

3:20

faster and more conclusive finan

3:22

Financial research or investing

3:24

strategies whatever it may be that could

3:27

entirely be possible and boosting

3:30

productivity will delay when our next

3:33

market crash occurs because the more

3:36

productive we are as a society the more

3:38

we can withstand the bumps along the

3:41

road that might otherwise be deemed

3:43

Black Swan events that could crash or

3:45

collapse an

3:47

economy productivity is everything we

3:50

need productivity to increase however

3:53

how can artificial intelligence actually

3:54

mislead Us in productivity well this is

3:58

where we get specul ative so we have to

4:01

make the argument that let's say

4:04

artificial intelligence is presumed to

4:06

do this for productivity it basically

4:09

means we get more and more productive

4:10

and productive and productive and

4:11

productive but artificial intelligence

4:14

in my opinion isn't actually growing in

4:17

this form of exponential trajectory I

4:20

think what we're getting a little bit

4:21

more is we're getting sort of

4:24

this advancement in processing big data

4:29

that looks a little more lumpy so we

4:31

have this slow growth in big data and

4:33

then we get these sort of stair step ups

4:37

and these stair step ups are really

4:38

useful they moments in artificial

4:40

intelligence like a chat a GPT where all

4:44

of a sudden we can take big data

4:46

analytics and make it happen much more

4:49

efficiently we can get to that next

4:51

level of neural Nets and machine

4:54

learning to really accelerate hopefully

4:58

productivity problem is when we get to a

5:01

market that assumes this trajectory for

5:04

artificial intelligence and the reality

5:06

is we're stair stepping well at some

5:10

point we are going to create this and

5:13

this segment right here is the mess of

5:17

malinvestment Mal investment is

5:19

basically where we throw money at

5:22

projects that we think are going to be

5:24

the future but the reality is the

5:26

progress of artificial intelligence is

5:28

nowhere near this

5:30

in fact it was Jensen Wong of Nvidia

5:32

himself who suggested that GPT was no

5:35

more than an imitator of the average or

5:38

the mass of society this is why even

5:41

though GPT can be fantastic at ingesting

5:43

an entire PDF and telling us and giving

5:45

us

5:46

suggestions can it really

5:49

Advance our ultimate productivity ah

5:54

well to understand our ultimate

5:55

productivity we have to understand what

5:57

productivity is and what it's not see

6:00

most of us think well of course if I can

6:02

ingest a whole PDF and into GPT and I

6:06

can get all of the answers that I need

6:08

versus reading it and I can get so much

6:10

more work done in an hour than I could

6:12

otherwise then of course my productivity

6:15

is going to go up but see that's not

6:17

necessarily true see we have to

6:19

understand the difference between

6:20

productivity and efficiency let's think

6:23

of this let's say you have one hour of

6:26

time so this right here is one hour and

6:30

let's say that you have 1 hour to read a

6:33

40 page PDF GPT enables you to ingest

6:38

the core parts and understand that PDF

6:41

in let's say 30 minutes so this is your

6:45

GPT effort right here and let's say

6:48

without

6:49

GPT it would take you the full hour so

6:52

this is your no GPT okay great so what

6:57

was the product of this hour of time

7:01

well let's say you spent 30 minutes with

7:03

GPT and you spent 60 Minutes without GPT

7:06

and then that next 30 minutes after you

7:08

finished your work with GPT you're kind

7:10

of like all right I'm done and you kind

7:12

of just stand around the water cooler

7:14

doing

7:15

nothing well in this case you were 2x as

7:22

efficient with GPT you essentially got

7:27

the same amount of work done in half the

7:30

time that's fantastic so you were twice

7:33

as efficient by using artificial

7:35

intelligence but your

7:37

productivity changed zero so zero change

7:42

in

7:43

productivity now we need to be able to

7:45

fill in this

7:48

segment with more work so a second PDF

7:52

for you to actually become more

7:53

productive then you could be twice as

7:56

productive in the same hour well the

8:00

problem with this is there's a limit to

8:02

how much we actually need to get done as

8:05

employees and see this is where the

8:08

problem begins take a look at this if

8:11

our efficiency expands too rapidly and

8:15

we could get so much more done in time

8:17

then more people are standing around

8:19

doing nothing for a while well at some

8:22

point offices businesses corporations

8:26

begin to realize they are vastly

8:31

overstaffed because they don't

8:33

necessarily have twice as many PDFs to

8:36

read that is where the growth problem

8:40

comes in in step two we're going to talk

8:42

about that but I really want you to

8:43

First internalize this and understand

8:46

this for a moment let's say I'm a real

8:49

estate agent and I can do 50

8:51

transactions per year alone and with AI

8:56

let's say I could do 75 transactions

8:59

per year that's great my capacity to do

9:03

75 transactions went up that's

9:06

fantastic but what if I can only get my

9:09

hands on 55 transactions of business

9:13

well yes then I have more time for

9:15

leisure or doing something else maybe

9:16

being a consumer in the economy that'll

9:19

come up in the next part as well but the

9:21

point is just because I am more

9:23

efficient does not guarantee I will be

9:25

more productive because businesses take

9:28

time to grow road to get more customers

9:31

to expand just if let's put it let's

9:34

phrase it another way let's say you are

9:36

a factory and you sell paper towels okay

9:41

you sell the best paper towels in your

9:44

city and you

9:46

sell 100,000 paper towel rolls every

9:50

single month okay so 100,000 per month

9:55

that's great you're killing it now ai

9:57

comes in and it lets your employees be

10:00

more efficient so that you now have the

10:03

capacity of selling

10:05

150,000 per month that's fantastic but

10:09

again what if the Demand only grew to

10:14

110,000 well if we overproduce all we're

10:17

going to do is reduce the prices because

10:19

we've created over supplies so we reduce

10:21

prices well that doesn't really help our

10:23

revenue or a margin because price

10:25

declines then just be get more price

10:26

declines it creates deflation defl in

10:29

the long term is great for consumers and

10:32

it could be get more competition but did

10:34

it really grow the amount of demand for

10:36

paper tows no no it didn't now again

10:40

maybe people have more time for leisure

10:42

because they're so much more uh

10:44

efficient and so they're using paper

10:46

towels more for some

10:47

reason but AI does not necessarily grow

10:52

demand for goods and services we call

10:56

that gas right Goods and services

11:01

there's a limit to how much demand we

11:03

have for goods and services so again if

11:07

our

11:08

efficiency stair steps with AI but

11:14

Demand only grows like this then we

11:19

create eventually a gap where there are

11:23

a lot of people who are getting paid to

11:25

get a lot of stuff done that doesn't

11:27

actually need to get done we only need

11:30

this much stuff done in the economy that

11:32

means we have a problem of

11:35

overemployment at some

11:37

point and if you attach malinvestment to

11:41

that malinvestment because people

11:43

believe that artificial intelligence in

11:45

Revolution is going to do this and it'll

11:47

go up and up and up and up forever then

11:49

more and more people are getting hired

11:51

right now thanks to the artificial

11:52

intelligence Revolution when the reality

11:54

is the opposite will likely end up

11:56

happening layoffs Mass layoffs but when

11:59

does that happen well folks that

12:02

actually happens in phase two I call

12:06

this the depletion and profit phase so

12:10

when companies even with artificial

12:12

intelligence realize wait a minute we've

12:14

got so much more efficiency but our

12:17

demand curve is not all of a sudden

12:19

growing twice as fast it's hopefully

12:22

growing or Worse your demand curve is

12:25

doing this and it's just sort of lumpy

12:28

and barely growing that's not good

12:31

especially when you start having

12:32

negative year-over-year numbers kind of

12:35

like something like Tesla might have for

12:36

q1 or Q2 this year compared to last

12:40

something starts happening when you hit

12:42

this kind of growth

12:44

curve businesses start cutting expenses

12:49

for example Tesla started slowing down

12:51

its Chinese Shanghai autom manufacturing

12:54

plant from its usual 6 and 1/2 days of

12:58

work down to just five that's a red flag

13:01

we've talked about that in the Tesla

13:02

videos topic for really a different

13:04

video uh and of course if you want sort

13:06

of my insights into specific fundamental

13:08

analysis or my Trading alerts make sure

13:10

you join those courses on building your

13:12

wealth we do have an expiring coupon

13:13

code on Easter that's March 31st take

13:16

advantage of that before we raise the

13:18

price you get all the buy sell alerts if

13:19

you're in stocks and psych got questions

13:21

to bundle up email us at staff ofme

13:22

kevin.com and join us in the course

13:24

member live stream for this sort of

13:26

perspective okay so Dem demand not

13:29

growing the way companies would hope

13:32

creates Cuts why would demand not

13:35

continue to grow well that's where

13:37

depletion comes in see remember how

13:40

everybody said oh my gosh everybody has

13:43

so much excess

13:47

savings well the spending of that excess

13:50

savings has really taken a long time

13:53

excess savings went up and we've been

13:55

able to kind of milk those excess

13:57

savings for a very long time

13:59

and quite frankly even after we get to

14:01

the point where we were before the

14:03

pandemic and we've spent through all of

14:05

our excess savings from pre- pandemic or

14:08

from during the pandemic we'll still

14:10

have savings to go through some extent

14:12

of savings to go through just like we

14:13

had some savings beforehand doesn't mean

14:15

a lot but eventually excess savings

14:17

deplete and debt goes up right so excess

14:20

savings slowly bleed out and debt

14:22

continues to go up so those are your buy

14:24

now pay laters eventually I'm very

14:26

concerned that we're going to end up

14:28

with quite frankly the next derivative

14:30

of buy now pay later where basically you

14:31

have people who bought a bunch of stuff

14:33

on buy now pay later like groceries or

14:36

other necessities and then they need to

14:37

get another buyout pay later loan to pay

14:39

off their first buy out pay later loan

14:41

so it's kind of like refinancing buy out

14:42

pay later with buy out pay later boy

14:44

take a shot every time I just said B

14:46

later okay maybe don't do that anyway

14:49

this becomes obviously a strain on

14:52

consumers okay but that's no problem if

14:54

people have jobs you can have a lot of

14:57

debt you can spend all of the money

14:59

money you make as long as you have a job

15:00

in fact you could spend more than you

15:02

make if you have a job and savings

15:04

because your job slows the bleeding so

15:07

to speak but you're bleeding So

15:10

eventually you're going to bleed out

15:12

because your excess savings will deplete

15:14

your debt will be high and then you'll

15:16

be left with your just basically

15:17

subsisting on your job to pay your debt

15:20

okay well this creates really really big

15:22

problems because when we now combine a

15:26

consumer that's becoming more indebted

15:29

with an artificial intelligence

15:31

Revolution that the stock market says is

15:33

going to exponentially grow forever and

15:36

the world has changed and all the

15:37

greatest advances are all going to

15:38

happen within the next two

15:40

years which mind you is total

15:43

like the stock market tries to price

15:45

ahead 18 months usually right the AI

15:48

Revolution will last the rest of our

15:50

lifetime but our robots going to be here

15:53

tomorrow doing all of our work for us no

15:57

quite frankly that might take 50 years

15:59

look how long full self driving took I

16:01

bought my first full self-driving car a

16:03

Tesla Model X in 2017 and I'm like this

16:06

self is amazing it's going to be so much

16:08

better uh in just a few years we'll have

16:10

Robo taxis it's 2024 now I still have

16:15

version

16:17

1231 doing stupid knucklehead stuff like

16:21

yesterday I come up to an intersection

16:23

that looks

16:26

like this this is going to be a little

16:28

hard hard to get right there we go Okay

16:31

so we've got the number one lane here

16:34

we've got the number two lane here we've

16:36

got a bike lane here and then a giant

16:38

curb kind of right here uh this is sort

16:40

of like a crosswalk curb and we've got

16:43

uh the number three lane we'll call it

16:44

which is a right turn lane okay so I got

16:46

the latest version of

16:47

FSD and this freaking car pulls up and

16:50

it's like uh yeah bro we're just going

16:52

to go straight right here and basically

16:54

follows the bike lane into the curb

16:56

until I hit the bra I'm like come on we

16:58

should be pass this by now but no this

17:00

is why it's still called a supervised

17:02

full self-driving artificial

17:04

intelligence software because even after

17:06

70 years we're still doing stupid stuff

17:08

yes have we taken leaps forward

17:11

absolutely but it is as much as we

17:13

expected no so the same thing will be

17:15

true again with artificial intelligence

17:18

so again let's start putting this recipe

17:20

together we have artificial intelligence

17:22

where expectations are here and reality

17:24

is going to be way lower so everything's

17:26

going to take a lot more time a lot more

17:27

patience okay patience in the stock

17:30

market usually don't go hand inand

17:33

patience in the stock market is

17:35

something that uh people don't like

17:38

people want their returns

17:42

now okay well that sets up for problems

17:46

okay fine next companies realize wait a

17:50

minute we have all this staff that's

17:51

more efficient but are we really more

17:53

productive well our productivity is

17:54

limited by demand but consumers are

17:57

constrained for our products whether

17:58

they're commercial consumers or

17:59

individual retail consumers they're

18:01

constrained for our products because

18:02

they're potentially highly indebted the

18:05

only sort of companies that aren't

18:06

highly indebted or your Apple Microsoft

18:09

and Google and Facebook who are going

18:11

and buying all of the crazy AI

18:14

chips because the expectation again is

18:16

this when the reality is we're going to

18:19

have a stair stepper expectation okay

18:21

great and they'll be setbacks along the

18:23

way so what happens

18:25

after we start realizing dang we're

18:28

really starting to grow like this rather

18:31

than that exponential that we thought

18:33

what happens profit becomes the focus

18:36

and when profit becomes the focus at

18:38

businesses and businesses are not

18:40

raising revenue what is the first thing

18:42

that they go to they need to cut SG and

18:46

a and their costs of goods sold and also

18:49

potentially their R&D well guess what's

18:51

in all of these

18:52

segments people labor labor gets cut is

18:58

hey we got AI now we made everybody 20%

19:00

more efficient that doesn't mean we're

19:03

20% more productive so let's cut 20% of

19:07

people and this is when you get to a

19:10

phase that the Federal Reserve usually

19:13

runs into unfortunately it happens very

19:16

very very very very quickly at some

19:19

point and I don't know when that is but

19:22

at some point we will get Negative job

19:26

reads right now economy still seems to

19:29

be booming jobs reports are coming in

19:31

great and strong a lot of them are being

19:33

filled by uh government and Social

19:35

Services as well as healthare fine

19:37

that's fine it's usually an end of cycle

19:40

jobs kind of reading but we are still

19:42

seeing a pickup in retail and

19:43

Hospitality some of the construction's

19:45

coming back so it's sort of a weird

19:48

environment that's why I'm not making

19:49

this video saying oh everything's going

19:51

to crash and go to hell tomorrow I don't

19:53

know when this is going to happen and

19:55

unfortunately I think trying to bet on

19:57

when this is going to happen is is very

19:59

difficult because if you bet too early

20:01

you'll lose a lot of money if you bet

20:02

too late you'll lose a lot of money so

20:04

the timing of this is very challenging

20:06

but at some point we will get Negative

20:07

jobs reports and unfortunately the first

20:11

declines in the jobs

20:13

reports

20:15

Unfortunately they are

20:17

self-fulfilling because here's what

20:19

happens let's say our average job gain

20:22

right now is been $240,000 a year or

20:24

sorry 240,000 jobs per month let's

20:27

clarify that2 40,000 jobs per month what

20:30

happens when that all of a sudden goes

20:31

down to

20:33

150,000 people are going to start paying

20:35

attention not just people but companies

20:36

they're going to go wait a minute wow

20:38

jobs are really starting to slow oh no

20:40

next month

20:42

75 oh oh no that's usually a bad sign

20:46

that we might start going into recession

20:48

what sets in fear well what do people

20:51

not want when there's fear less profit

20:54

so what happens more cuts and all of a

20:56

sudden you get a snowball of a

20:58

joblessness recession we don't know when

21:00

that's going to come that's the problem

21:02

at some point it will come and it will

21:05

come when conditions are not ideal in my

21:08

opinion you're going to have ai driven

21:11

valuations that are absolutely maxed out

21:15

so you have Max AI valuations quite

21:18

frankly with more again efficiency but

21:21

not more productivity so now you have a

21:25

capacity to cut because think about it

21:28

the businesses can still get the same

21:30

amount of work done with less people so

21:33

valuations at Max with the capacity to

21:37

cut companies could just go you know

21:39

what we got too fat cut thousands of

21:43

jobs gone because they'll put the work

21:45

on the other people who can then use AI

21:47

to do the job of the others again 20%

21:50

more efficient without being 20% more

21:52

productive means you have excess fat

21:55

people standing around the water cooler

21:57

and they get cut

21:59

all right so valuations at Max a

22:01

capacity to cut declining profit combine

22:05

this with fear what happens the job

22:09

recession starts the job recession

22:13

starts when the job recession starts

22:15

what's next to go single family

22:18

housing multif family housing is already

22:21

going through its little pooper right

22:22

now mostly because of high interest

22:24

rates have really sort of destroyed

22:26

developers and you had this really weird

22:28

thing happen in housing which I'm going

22:29

to talk about in a moment but when job

22:32

Cuts hit the jobs recession single

22:34

family becomes almost impossible to

22:36

afford and also potentially Max

22:39

valuations and then you get a housing

22:41

correction now I want to say something

22:43

very interesting about where the housing

22:45

market and especially multif family

22:47

Market uh is worst in my opinion so a

22:50

lot of people this is sort of just a

22:52

pandemic reference a lot of people

22:53

during the pandemic they moveed from

22:55

States like I'll just use these as an

22:57

example California to Texas it could be

22:59

Florida it could be Nevada whatever

23:01

right and so what happened is a lot of

23:03

people went there and so what they did

23:06

is then you built more oh my gosh prices

23:09

went up let's build a lot okay well now

23:12

you're actually starting to get some

23:13

reversal which is just a normalization

23:15

I'm not saying Texas is bad it's just

23:17

normal you get a reversal so you

23:19

actually get people going to California

23:21

again okay well what did you not do in

23:24

California over the last few years you

23:26

didn't build so no build so that means

23:31

in California you're now left with less

23:35

homes and potentially again more people

23:39

as you go back to growth okay well that

23:41

creates a supply challenge so it

23:44

actually drives prices up whereas in

23:47

Texas you're actually left with more

23:50

homes easier construction red State's a

23:53

lot easier to build in and less people

23:56

once it normalizes which means lower

23:59

prices so I think there are a lot of

24:02

areas in the country that got overbuilt

24:04

and these overbuilt areas are going to

24:07

have the greatest pain uh in in the next

24:10

cycle we're already starting to see some

24:12

of that in multifam so ironically these

24:16

blue states that didn't build a lot

24:18

because they have bad building policies

24:20

I do think they should be building more

24:22

I ran for governor on that premise this

24:23

is not a surprise these states are going

24:26

to end up with actually weirdly less

24:28

pain than some of these other states

24:31

that's just a

24:32

theory okay so what we have here is

24:37

really a road map for issues we have ai

24:43

increasing efficiency but not

24:46

necessarily productivity now yes can the

24:49

economy keep going can productivity go

24:51

up efficiency keep going up and and the

24:53

bubble keep going on for a long time

24:57

absolutely but at the same time A lot of

25:00

people are seeing their Consumer Debt go

25:02

way up and their capacity to keep

25:04

repaying go down and their consumer

25:06

savings go down their excess savings

25:08

deplete and go down what you really need

25:11

to keep the Ponzi going so to speak is

25:13

you need more profit as soon as the

25:16

profit starts drying up at

25:18

companies and you get consumer depletion

25:21

you start getting jobs Cuts once that

25:23

starts you start the cycle you start the

25:26

next recession this is exactly how the

25:28

next recession starts because Max

25:30

valuations on AI which will not come to

25:33

fruition Max valuations on single family

25:35

housing which won't be affordable

25:38

combined with the fact that the

25:39

companies that are wanting to survive

25:41

can get enough done with AI and the

25:44

efficiency they have without extra

25:46

demand means a lot of people are going

25:48

to be out of a job so what do you

25:51

personally do to protect yourself from

25:52

this well you have to work on your

25:54

skills you have to do absolutely

25:56

everything in your power to make sure

25:57

you are not only building a war chest of

26:00

assets it doesn't have to be cash but

26:03

assets even if the market goes down 50%

26:05

you want that 50% to still be enough to

26:08

where you could survive so I'm not

26:10

saying don't invest just saying have

26:12

lots of assets use the good time now to

26:15

minimize your debt maximize your assets

26:18

build the businesses the startups the

26:20

side hustles build everything you can

26:22

now in the good time because this AI

26:25

Euphoria is very likely way ahead of

26:27

itself

26:28

and when you combine that with the debt

26:30

cycle and the difference between product

26:31

and efficiency productivity and

26:33

efficiency you are going to have at some

26:35

point in the future I don't know when

26:37

but a massive correction and these are

26:40

the signs you want to look for it all

26:42

starts with jobs as a result of AI

26:46

driven efficiencies and a lack of

26:49

productivity I not advertise these

26:51

things that you told us here I feel like

26:52

nobody else knows about this we'll we'll

26:54

try a little advertising and see how it

26:55

Go congratulations man you have done so

26:57

much people love you people look up to

26:59

you Kevin PA there financial analyst and

27:02

YouTuber meet Kevin always great to get

27:03

your

27:04

take even though I'm a licensed

27:06

financial adviser licensed real estate

27:08

broker and becoming a stock broker this

27:09

video is not personalized advice for you

27:11

it is not tax legal or otherwise

27:12

personalized advice tailored to you this

27:14

video provides generalized perspective

27:15

information and commentary any

27:17

third-party content I show shall not be

27:19

deemed endorsed by me this video is not

27:21

and shall never be deemed reasonably

27:22

sufficient information for the purposes

27:24

of evaluating a security or investment

27:26

decision any links or promoted products

27:27

are either paid affiliations or products

27:29

or Services we may benefit from I also

27:31

personally operate an actively managed

27:33

ETF I may personally hold or otherwise

27:35

hold long or short positions in various

27:37

Securities potentially including those

27:39

mentioned in this video however I have

27:40

no relationship to any issuer other than

27:42

house act nor am I presently acting as a

27:44

market maker make sure if you're

27:45

considering investing in house Haack to

27:47

always read the PPM at house.com

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.