Cryptocurrency Predictions For 2022
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Cryptocurrency Predictions For 2022 And Beyond!! (Shocking Intel Revealed)
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Oct 4, 2021
Cryptocurrency Predictions For 2022
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EXCERPTS FROM VIDEO TRANSCRIPT
20:00
from flow of funds data because they
20:03
exist on decentralized ledgers outside
20:07
of national reporting systems
20:10
crypto as an asset class was negligible
20:13
in 2019
20:15
but may have grown to levels that are
20:17
impactful on a macroeconomic level like
20:20
dark matter it is exerting influence
20:24
without being seen now we go over some
20:27
more statistics that really put things
20:29
into perspective it’s called fast money
20:32
the scale and speed of the rise in
20:35
household wealth is simply unprecedented
20:37
the roughly 40 trillion
20:40
increase in household wealth over the
20:42
past two years is real money that can be
20:45
spent on goods and services
20:48
and he points out here correctly just
20:50
not all at once
20:51
[Laughter]
20:53
don’t sell all at once so the price will
20:55
come crashing down
20:57
this has obvious implications for
21:00
consumption and inflation but also on
21:02
the public’s urgency to seek employment
21:05
we were talking about earlier
21:06
stopping the flow of unemployment
21:08
payments may be less impactful and i
21:11
think that definitely has a lot to do
21:13
with it as well but i’ve done several
21:15
videos on that so we’ll stick to the
21:17
topic of this wealth creation
21:20
cryptocurrency and demotivating people
21:23
to go back to work
21:25
so stopping the flow of unemployment
21:27
payments may be less impactful in
21:29
encouraging employment when the stock of
21:31
wealth has grown tremendously
21:34
and this chart is really jaw dropping
21:38
its households and non-profit
21:40
organizations net worth level so we can
21:43
see it dip down which is what you would
21:45
expect in the gfc
21:47
and since then it’s gone straight up
21:50
into the right but look at what happened
21:53
after the cerveza sickness
21:55
it not only goes up into the right it
21:57
goes pretty much straight up it’s a buzz
22:00
lightyear chart to infinity and beyond
22:04
to infinity
22:06
and beyond just to reiterate over the
22:09
last two years household wealth has gone
22:12
up by approximately
22:14
40
22:15
trillion dollars the fed appears
22:18
confused by the labor market there are
22:20
many signals of the labor shortage even
22:22
though the unemployment rate is also
22:24
elevated the fed is holding rates low on
22:27
the belief that the economy is far from
22:29
maximum employment even though inflation
22:33
is high this goes back to the phillips
22:35
curve that we were talking about
22:37
but if the wealth effect has
22:39
structurally changed the labor market
22:42
then the fed is viewing the world
22:44
through an outdated model
22:48
so let’s think about this for a moment
22:51
what happens is people still have the
22:53
same amount of purchasing power or if or
22:56
more purchasing power for that matter
22:58
but yet they’re not going back to work
23:00
producing goods and services and in the
23:03
mind of the fed if people are unemployed
23:05
then they should see a decrease in
23:08
demand and that ties into the inflation
23:11
rate so if demand goes up even though
23:13
the unemployment rate stays persistently
23:17
high the fed is going to see that and
23:19
assume that inflation is transitory
23:22
because they’re going to assume that
23:23
they actually have less purchasing power
23:25
because they’re not taking into
23:27
consideration this wealth effect that
23:30
joseph wang is pointing out extremely
23:33
well so therefore it may take much
23:36
higher wages to reach the pre-pandemic
23:39
unemployment rate the fed may be
23:41
inadvertently running the economy much
23:45
hotter
23:46
than they realize
23:48
so in order to get people to go back to
23:50
work when they’re making 30 000
23:53
every two months trading cryptocurrency
23:55
wages are going to have to go from 15 an
23:58
hour let’s say up to 30 or 50 or 75
24:02
dollars an hour and then that will
24:05
exacerbate the problem of inflation that
24:09
the fed
24:10
thinks doesn’t exist
24:13
so my first prediction is the fed is
24:16
going to continue to use the phillips
24:18
curve to make policy decisions moving
24:22
forward and because cryptocurrency has
24:26
created so much wealth at least paper
24:29
wealth on the balance sheet of those 14
24:33
of americans who have less of an
24:35
incentive to go back to work the
24:38
unemployment rate
24:40
as measured by the government and the
24:41
fed is going to be persistently high
24:45
therefore the fed is always going to
24:47
come back to the conclusion that
24:49
inflation is transitory regardless of
24:53
how many years it goes up at six percent
24:58
eight percent 10
25:00
12 who knows how high it will go and
25:04
we’ve seen this movie before it’s not
25:07
the first time the fed has inaccurately
25:12
come to this conclusion i’d like to take
25:14
you back to the early 1970s at the time
25:17
the fed chair was a gentleman by the
25:19
name of arthur burns and just like
25:22
jerome powell he was coming out and
25:24
making the claim that inflation is
25:27
transitory but we all know what happened
25:29
throughout the rest of the 1970s
25:32
arthur byrne was proven wrong over and
25:36
over and over again and i think jerome
25:39
powell will also be proven wrong in this
25:44
decade and i know a lot of you right now
25:46
are saying okay george i understand the
25:49
stuff with arthur burns and the
25:52
inflation being transitory or permanent
25:55
but that’s not really a specific
25:58
prediction about cryptocurrency or the
26:00
price of cryptocurrency
26:03
but don’t you worry
26:05
my friend
26:07
we are going to connect all the dots
26:10
in step number three coming up right now
26:14
step number three
26:15
now it’s time to reveal
26:18
my big
26:20
cryptocurrency
26:22
predictions but before i do
26:25
i can give you a prediction that is 100
26:29
guaranteed
26:31
to come true
26:32
and that is mr joseph wang will be
26:36
speaking at the next rebel capitalist
26:39
live event
26:41
in houston if you haven’t checked out
26:43
rebel capitalist live definitely do so
26:47
as soon
26:48
as this video is done we’ll put a link
26:50
in the description below but it’s just
26:53
rebelcapitalistlive.com
26:56
you can see all the speakers that will
26:58
be in houston january 7th through the
27:01
9th guys like ron paul chris cole g
27:05
edward griffin gals like lynn alden
27:08
lynette zhang and like i said mr joseph
27:12
wang the fed guy
27:14
himself but back to the cryptocurrency
27:18
predictions in step number one
27:20
we saw that crypto caleb has gotten
27:24
rich to the tune of two trillion dollars
27:30
just in the last year then in step
27:32
number two we saw that all of these
27:35
gains have most likely decreased his
27:38
willingness to go back to work therefore
27:41
the unemployment rate stays higher than
27:44
it otherwise would and the fed thinks
27:47
that inflation is transitory so they
27:50
continue to put the pedal on the metal
27:52
don’t worry about inflation this means
27:55
that it most likely will run hot into
27:57
the future and let me be very clear when
27:59
i’m talking about inflation i’m
28:01
specifically referring to the stuff
28:04
the goods and services you buy
28:07
daily so i set up this chart just to get
28:10
a visual of the main concepts i’m trying
28:14
to communicate
28:15
first
28:16
on the left it goes from 0 up to 16
28:20
this is the rate of increase
28:22
so right in the middle this red line
28:24
let’s just assume this is the rate of
28:27
inflation going into the future and i’m
28:30
not saying this is a prediction in and
28:32
of itself we’re just using this as a
28:34
thought experiment so inflation going
28:37
from eight percent to 10 12
28:40
15
28:42
well stocks and real estate
28:45
let’s say they are also going up in
28:48
nominal terms but
28:50
they’re only going up at maybe four five
28:53
six seven percent per year
28:56
which for most americans the average joe
28:59
and jean they look at that and they
29:00
think they’re getting rich
29:02
but then they start to do the math
29:05
and they’re like wait a minute here yes
29:08
my house is going up at five or six
29:10
percent per year but my grocery bill is
29:14
going up by 30 percent per year
29:18
so they realize it dawns on them that
29:21
the stocks in real estate are going up
29:24
at a lower rate or less than
29:27
inflation
29:28
but then they look at crypto
29:30
currency and they see that it is going
29:33
up at a rate that vastly exceeds
29:37
inflation
29:38
so they come to the conclusion logically
29:41
that the only way they can stay ahead of
29:44
the inflation curve
29:46
because remember we’ve got the fed and
29:49
your drunk insolvent uncle sam that is
29:52
pushing the average joe to take more and
29:56
more risk because of these negative real
30:00
rates so the average joe says to himself
30:03
well i’ve only got one choice if i want
30:06
to actually increase my purchasing power
30:09
or at least
30:11
just stay up with the rate of inflation
30:14
i’ve got to move all of this capital
30:17
from stocks and real estate into
30:21
cryptocurrency and for those of you who
30:23
are cryptocurrency fans you may be
30:25
saying well that’s fantastic news
30:28
because that means the price
30:30
is going to go to the moon but
30:32
unfortunately there is a big
30:35
problem to dive into this deeper let’s
30:38
go right to the internet and check out
30:40
this study from the bis the bank of
30:44
international
30:46
settlements
30:48
this is a report titled early warning
30:51
indicators they call e-w-i’s
30:55
of banking crises
30:58
let’s scroll down here and we can get to
31:00
some of their charts
31:02
evolution of ewi that’s early warning
31:06
indicator
31:07
variables around past
31:10
banking
31:11
crises these charts are a little
31:14
difficult to decipher so let me walk you
31:16
through them this zero indicates when
31:19
there was a banking crisis and this
31:21
black vertical line and it shows
31:24
different metrics they used to try to
31:26
predict when this banking crisis would
31:30
come to fruition and not only predict
31:33
when but also the probabilities of it
31:35
actually panning out so the first metric
31:38
they use is credit to gdp
31:41
so the overall credit in the economy the
31:43
public and private debt
31:45
relative to the country’s gdp let’s just
31:48
use the middle red solid line because
31:51
that’s the median so what this is saying
31:54
is it’s going up at eight percent above
31:58
the trend line the historic trend line
32:01
it’s not saying that it’s going up at
32:03
eight percent nominally that’s just
32:06
eight percent above the trend so if the
32:09
trend let’s say was two percent
32:12
and now it goes up to eight percent
32:14
then the delta would be six percent and
32:17
that’s what this solid red line would
32:20
indicate
32:21
another thing interesting about this
32:22
credit to gdp
32:24
is that when it gets to a peak that’s
32:28
usually
32:29
when you see the banking crisis
32:31
so it happens kind of in real time
32:35
contrast that the data represented in
32:37
this property price gap and we’re going
32:39
to focus on that solid red line again
32:42
and this represents the same thing it’s
32:45
just the delta between the historic
32:47
trend line and the current rate of price
32:50
appreciation or the gap between the
32:53
prices and the income level so the price
32:57
to income ratio difference between what
33:00
they’ve experienced let’s say over the
33:02
past
33:03
20 quarters and the historic trend
33:06
that’s the important metric
33:08
but you can see here it peaks out
33:10
usually about eight quarters prior
33:13
to an actual banking crisis so this
33:16
would be more of a leading indicator and
33:19
they also have metrics like dsr which is
33:22
debt service ratio i’m not going to get
33:25
too into the weeds on those other
33:27
metrics because i want to focus on
33:29
credit to gdp and also property price
33:33
gap
33:34
what this bis study shows us is these
33:37
are the most predictive indicators when
33:40
you’re trying to assess the
33:42
probabilities of a banking crisis
33:46
so i’d imagine a lot of you are asking
33:49
the question right now okay george if a
33:52
country gets over its skis so to speak
33:55
or they breach this level which would
33:58
indicate the no bueno zone
34:03
the bis might not use that terminology
34:06
but they caught probably the danger zone
34:08
what is the probability that this
34:10
country has a banking crisis
34:14
and from what i’ve read in this report
34:16
the probability can be as high as 50
34:21
depending on what metrics that country
34:24
actually triggers but the metrics we
34:26
just went over are so powerful
34:29
that they usually supersede the rest so
34:32
as an example if the property price gap
34:35
or price to income ratio in a specific
34:37
country gets too extreme
34:39
even if that country hasn’t triggered
34:42
any of the other red flags it could
34:45
still make the probability of a banking
34:47
crisis go up to that 50 percent number
34:51
and what i would argue is in a country
34:53
that has been so financialized like the
34:56
united states not only could a property
34:59
bubble imploding create a banking crisis
35:02
but i think you could see the exact same
35:04
thing happen if the stock market were to
35:06
go down by 50 percent just sit back and
35:10
ask yourself the question
35:12
what would the economy look like if the
35:14
stock market went down
35:16
by 50 percent
35:18
and stayed down by 50 for the next
35:21
decade something similar to what we saw
35:24
in japan in the 1990s
35:28
i think most of you would come to the
35:29
conclusion and rightfully so that that
35:32
would create an economic crisis
35:34
in the united states to the likes which
35:37
we may have never seen it may even
35:39
exceed what we saw during the great
35:42
depression so let’s think this through
35:46
using the example
35:47
of these hot air balloons that i think
35:50
gives us a great visual representation
35:53
of the overall concept so we’ve all seen
35:56
it on a sunday morning those hot air
35:58
balloons are going up over the sky and
36:02
the clouds blue sky it’s a really cool
36:04
thing and they’re all these bright
36:06
colors and at the bottom of those hot
36:09
air balloons you see this little woven
36:11
basket and that’s where the people are
36:14
kind of hanging out there and floating
36:16
around
36:19
in the past when we have a proper
36:22
fundamentally sound economy
36:25
i see it as though it’s this hot air
36:27
balloon that’s controlling or leading
36:31
this basket
36:32
that is following it around
36:34
so in a healthy economy that really
36:37
revolves around producing goods and
36:41
services
36:42
true wealth
36:44
the real economy would be that hot air
36:46
balloon
36:47
and the financial economy like the stock
36:50
market or the housing market would be
36:52
the basket
36:53
underneath that hot air balloon
36:56
so wherever the balloon goes in other
36:58
words wherever the real economy goes
37:00
however well it does
37:02
the basket will do the same the stock
37:05
market and the housing market but what
37:08
has happened as a result of everything
37:10
that we talked about in step number one
37:14
is we’ve completely reversed the roles
37:17
so now we go into this completely
37:20
distorted type of economy that’s been
37:23
totally
37:24
financialized
37:26
so the balloon has gone from the real
37:29
economy to the financial economy
37:33
and it’s the one that has power or
37:36
control of the direction of everything
37:39
else and now the basket is the real
37:42
economy so wherever the financial
37:44
economy goes
37:46
so goes the real economy and that’s why
37:48
the fed has had to come in so many times
37:51
and bail out the banking system and the
37:54
banksters themselves because they know
37:57
that if the financial economy collapses
38:00
the stock market or the real estate
38:02
market the real economy will collapse as
38:06
well but here’s where it gets
38:09
interesting if we see this dynamic play
38:13
out in the future
38:14
because the fed has to let inflation run
38:18
so hot before they reduce the size of
38:20
their balance sheet or they increase
38:22
interest rates we see the capital flows
38:25
going from stocks in real estate that
38:28
have a negative
38:30
appreciation rate or negative yield
38:32
compared to the rate of inflation we see
38:34
the capital flows go from stocks and
38:36
real estate into cryptocurrency
38:40
then because we financialized the
38:42
economy so much
38:44
we could transition
38:46
into a brand new type of hot air balloon
38:50
where the price of
38:52
cryptocurrency
38:54
is the actual balloon and now the real
38:57
economy is tied to the price
39:00
of doji coin
39:02
and let’s go back to that thought
39:04
experiment we did during the reading if
39:06
the stock market goes down by 50 percent
39:09
remember most of you would agree that
39:11
that would collapse the entire real
39:13
economy same thing for the housing
39:16
market but now if all of the capital and
39:19
the assets on the balance sheets of
39:21
americans is tied up in cryptocurrency
39:24
the same thing would be true that at the
39:27
price of cryptocurrency goes down by 50
39:30
60 70 percent then this in and of itself
39:35
would collapse the real economy
39:38
regardless of what was happening to the
39:40
stock market and the real estate market
39:42
and to make this even more bizarre if
39:45
the economy started to go down as a
39:48
result of the price of crypto collapsing
39:51
then the fed
39:52
would have to come in and save the day
39:55
because they have these mandates such as
39:58
the unemployment rate well if the
40:00
unemployment rate in the real economy
40:01
let’s say goes up to 15 percent
40:04
because crypto
40:06
falls out of bed and goes down by 50
40:08
percent then the fed would be left with
40:11
a decision
40:13
they would have to come in and literally
40:16
prop up the price of crypto
40:19
just like they have done quantitative
40:21
easing
40:22
to prop up the price
40:24
of the stock market and the housing
40:26
market but step back for a moment and
40:29
think about this paradox
40:32
let’s take out the word crypto and just
40:34
replace it with the word bitcoin
40:37
of all the cryptocurrencies this one has
40:40
the highest probability of competing and
40:43
maybe taking down the u.s dollar so the
40:47
fed would be put into a position where
40:50
they have to prop up the actual
40:52
competitor to the currency that gives
40:56
them power
40:57
in the first place so what are my big
41:00
crypto predictions moving into 2022 and
41:04
beyond well the fed is definitely going
41:07
to continue to push
41:10
people out the risk curve by maintaining
41:13
a negative real interest rate and i
41:17
think the negative real rates we see now
41:20
could actually increase moving forward
41:23
and this will incentivize people to take
41:26
money out of the stock market in real
41:29
estate and move it into
41:31
cryptocurrency so as long as we see this
41:35
dynamic at play
41:37
there are no certainties only
41:39
probabilities but i think there’s a
41:41
significant probability that the market
41:44
cap for cryptocurrency continues to grow
41:48
now which ones go up and down
41:51
i have no idea i’ll let you draw your
41:54
own conclusions and i want to be very
41:56
clear i’m not saying that this is a
41:58
reason to speculate in
42:01
currencies i would never ever buy
42:03
something just
42:05
because i thought the price was going up
42:07
that’s just pure gambling what i’m doing
42:10
is going through a thought experiment so
42:12
you can better understand the risks we
42:15
have
42:16
to the real economy and one more thing
42:18
i’d like to point out this dynamic that
42:21
we’re talking about with cryptocurrency
42:23
taking all the inflows could continue
42:27
into the future as long as there’s not
42:30
another asset class that comes up right
42:33
alongside it where the gains are even
42:36
more than what we’ve seen in
42:38
cryptocurrency can anyone say
42:41
nfts
42:43
for more content that’ll help you build
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42:50
big governments check out this playlist
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