10-24-2018_Th Forecast Linear Polynomial Uni Multivariate Regression BitCoin Futures Hangout On Air Steemit Business Intelligence Blockchain, Big Data Learn to Trade Remote Classroom Cell Youtube Live Free Broadcast Stream Unauthenticated Anonymous Access
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10-24-2018_Th Forecast Linear Polynomial Uni Multivariate Regression BitCoin Futures Hangout On Air Steemit Business Intelligence Blockchain, Big Data Learn to Trade
10-24-2018_Th Forecast Linear Polynomial Uni Multivariate Regression BitCoin Futures Hangout On Air Steemit Business Intelligence Blockchain, Big Data Learn to Trade & Remote Classroom Cell Phone Youtube Live Free Broadcast Stream Unauthenticated Anonymous
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10-24-2018_Th Forecast Linear Polynomial Uni Multivariate Regression BitCoin Futures Hangout On Air & Steemit Projects Business Intelligence Blockchain, Big Data Learn to Trade & Remote Classroom
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Forecast Linear/Polynomial Uni/Multivariate Regression BitCoin Futures
Transcript
00:01
yes you come up it's meant from the
00:03
laptop it's much better from a laptop
00:10
yeah it's better from a laptop Jimmy
00:31
and you've said that you made between
00:33
their don't think so
00:37
I would like to show you I can email and
00:41
galino just yeah
00:56
you go in wrong game oh ok I see if it
01:03
works for you soon here's the lovely
01:05
yeah so try to come in so I'm coming in
01:27
so now I'm joining you yeah you know
01:36
what
01:36
steamy yes repeat do you have seen it
01:43
Stevie Stevie is the web's and bloggers
01:53
on that side so calm /with whatever I'm
02:13
telling you so this is in my accent a
02:18
little better
02:53
in Europe if it's local he said yeah
02:56
where are you Jamie at that sign the @
03:08
sign and then i wi z mo r he be easy
03:25
yes this bi z like wizards more business
03:34
ok
03:36
this bi z no spaces altogether the
03:40
outside with more biz ok press enter
03:57
no no no no no at sign w I see that
04:04
Grizz like wizard right
04:09
WIC MORB I see you understand why I need
04:15
my translator okay so what do you say
04:19
there in front of you all right
04:29
okay so click on that so click on it
04:40
right now go down now go down where it
04:45
says long Earl you are relic Universal
04:49
resource locator you see something that
04:55
says long URL okay you see that link
05:02
there click on that link and let's see
05:07
what happens Dennis will tap
05:21
okay
05:27
and they did say to join yeah click on
05:34
Joey now and you'll be in a video
05:36
conferencing with us I'm there
05:40
ok great all right we can see we can see
05:45
it ok could you say something something
05:50
yeah I see I see you're like it right
05:54
now I see behind do you have my stuff
05:56
feed us right right okay right now okay
06:03
are you are you we can share our screen
06:06
to see you so basically this is what we
06:18
are using you chose so at first you
06:22
can't come to class they use this but
06:25
this way the sons can be in Colombia
06:28
visiting their family and participate in
06:31
the class remotely and we can choose yes
06:34
we have to submit you have to send me
06:37
one of those yarmulkes what are you
06:39
wearing it's a headband let me explain
06:47
you this headband is just not the
06:49
headband that we are wearing it's an
06:52
advertising method of somebody being
06:58
able to click this is not just a
06:59
headband you may not be able to read it
07:02
but if you read it carefully you'll see
07:04
it has a penalty number on Sarah's head
07:07
if you click on either one first let me
07:10
click on myself so you can see my friend
07:13
I see this headband as a URL this is the
07:21
vanity phone number in a domain name
07:25
a 3:05 on trial a hot a hot region on
07:37
the video so when we stream it live
07:39
let's say that it was 305 clockwork when
07:46
we finish and they still want to
07:49
purchase something from you for my
07:52
clockwork they will click on this video
07:55
hi curly and it will automatically also
07:58
got the phone number three or five on
08:01
trial and this is a domain name also but
08:05
on trial Doug bliss can you follow me
08:08
yes so if you dial from their computer
08:14
to the operator of 305 on trial database
08:17
and will pour them to the website on
08:20
trial database so they can the operator
08:24
can help them navigate the website in by
08:26
your algorithm or thank you algorithm I
08:31
like it very good
08:33
ok scream that so anyone is now I can
08:36
share my screen with you and execute for
08:41
example you can see my screen and you
08:43
can let me in configurator
08:51
so I'm clicking on the green you see
08:55
there is if you look on the left inside
08:57
you are with your mouse you'll see that
08:59
there buttons on the left hand side of
09:03
the screen you see that there is a chat
09:06
button you click the chat button it will
09:10
open up the chat panel and let me say hi
09:14
hi you see me say - yes I do
09:19
yes I do underneath that button there is
09:22
another button the chest says stream
09:30
arrow if you mouse over it don't say
09:34
screen share you see that Jamie on your
09:37
left hand so now I'm going to click it
09:40
so I can show you my screen and I can
09:42
show you how I run angel trader 11 the
09:48
stick can you understand me yeah I I
09:50
understand that okay sure this way I
09:53
think I'm going to click on it and it
09:56
will listen what do you want to share
09:57
the home screen or part of the screen
09:59
and I'm going to say I want to share the
10:02
whole screen so I click on the share
10:04
button and now instead of a good-looking
10:07
face you will see my screen I'm going to
10:10
minimize am confused because there's so
10:15
many things don't work out anything I'm
10:19
going to throw some things that are
10:22
irrelevant
10:23
yeah and they run ninja try and I get
10:28
the jet ready for you so I have the
10:32
trader I want to explain to you how how
10:36
we operate and how we teach so you have
10:38
an idea of what it is that you want to
10:40
do so that two versions of ninja trader
10:44
there is day 64 bit and the 32-bit
10:48
version set version 8 so we are running
10:53
the 32-bit I'm going to double click it
10:55
demonstrated you because three data
11:05
three futures data for the students yes
11:08
yeah and a 32-bit module yes I saw that
11:11
one I tried in the data they would only
11:14
go for that okay
11:15
the reason for that is different banks
11:21
like TD Ameritrade a Ameritrade Bank
11:25
we'll give students full access to all
11:29
the futures data for free on their zero
11:35
balance account I'm going to go file
11:40
connect I'll use the free kinetic every
11:45
day for now just double swing okay so
11:48
kinetic end of day free and when he
11:54
turns right away abroad or either way
11:55
hangouts text hang on a second avi I pay
11:59
if an action which a lot of these a lot
12:01
of connections with these people here at
12:03
NinjaTrader if you need these please
12:08
ammo account extended I can have that
12:11
done I can have them do a lot of things
12:13
because I have a very very good contact
12:15
up there NinjaTrader yeah thank you good
12:18
men to defend this Ameritrade is that
12:22
you get the futures for free forever so
12:25
you don't have to worry about with
12:27
soaring foreign students and Social
12:45
Security so complicated well the trade
13:03
the train to the TradeStation stand by
13:05
your side yeah we don't want to disturb
13:11
your tray no no listen
13:15
I babysit so my stuff is is different
13:20
now used to be very hectic years ago not
13:25
so much okay let me get back okay so
13:30
between the windows the ninja seven and
13:33
a ninja eight you're still recommending
13:35
a note in just seven thirty two-bit
13:38
four
13:39
for the masses because of the pre-beta
13:44
Ameritrade that was if they don't do the
13:47
Ameritrade but you can see how well can
13:54
you see this it's perfectly I said I
13:58
just see that he doesn't
13:59
you guys don't put too much data though
14:01
you only use what I years but the data
14:20
reading one oh trading 101 what do you
14:23
what are you using for our you fault
14:27
parameters open it and when I show you
14:40
move it down and enable it so I'm going
14:44
to enable here which is false
14:48
yeah and okay and then and now you see
14:54
my screen okay I have show me show me
15:00
show me the performance and this
15:03
particular 1026 so Brian to see the
15:08
performance first we can see the
15:10
performance already there red lines
15:14
illusion so you see the screen so I'd um
15:18
in order to show the performance I write
15:21
mostly T strength strategy silver
15:27
historical in the real time okay and it
15:29
opens the performance step so you can
15:32
see that it is losing on all trades on
15:35
long running short correct okay and now
15:40
I can export it to excel by
15:42
right-clicking in grid export to exam
15:48
and here is Excel and then we save it to
15:53
freeze it in time so to speak so we can
15:56
have multiple versions of this our go
15:58
file save as and I go through a folder
16:03
that is relevant let's say I have four
16:08
in my document suppose I'll die later
16:12
hmm so I click on new folder well it IBM
16:21
and save it there and now I'm going to
16:39
copy so this is the class for ma day on
16:45
Tuesday engine trainer and so on and the
16:50
date in the beginning so performance
16:53
evaluation and then calculate the
16:57
difference and see the impact so now
17:00
instead the title that they fired copy
17:04
same I go back to the spreadsheet and I
17:08
put in the spreadsheet the title page
17:11
specially the dice name last the past
17:14
four or five sabers in vacuuming type en
17:20
snap the past and put the path in there
17:24
Scratchy
17:25
so later on I can I can keep track on
17:29
all these that I haven't always passing
17:33
the time
17:36
so I gotta fix this one as of now and if
17:39
I want to compare their to another
17:41
strategy or another time point I'm going
17:44
to minimize it now I'm going to let's
17:46
say I want to compare between two top
17:48
two strategies or two companies for
17:50
example now I'm going to change from IBM
17:54
let's say 2 m Microsoft MS same thing
18:00
now so I get the strategy away go back
18:04
go back how do you do that the changes
18:06
like that with that alright
18:08
how did you change it on the fly from my
18:10
from my cursor anywhere you place the
18:15
cursor anywhere and you wonder how you
18:28
did that yes now I think ok so now I
18:36
wanna show you what we're doing all the
18:39
time
18:44
performance settings crossovers over 20
18:48
min time and this is my lose-lose either
18:54
and now I know I read in Excel I'm going
19:04
to take the spreadsheet and copied and
19:07
copied a strategy to the the IBM's
19:12
producing cannot return that contains
19:15
the differences so here I have the IBM
19:20
spreadsheet going to a loop and now I'm
19:25
pasting in it the Microsoft spreadsheet
19:29
so this is going to be microscope so
19:33
amnesty for Jenny right head sheet one
19:38
in Jeju
19:39
and then I'm going to make a sheep
19:41
ridwan system difference so I think I
19:45
paste it again
19:51
I'm going to - I got the Sheep -
19:58
with the buffer and I'm going to shoot
20:01
three and paste it so now it's sheet2
20:07
and sheet3 of the same now I'm going to
20:11
take them and put the difference between
20:14
sheet1 and cheapest I'm going to put an
20:17
equal sign equal sign and I'm going to
20:27
go to sheet 1 take the value - shin -
20:39
and then press put in the formula that
20:46
person is now same be two solutions
20:54
following yes and now I'm going to
20:58
expand it to the first to line number 2
21:01
from Whitledge right here before us and
21:04
now in the top line I had the difference
21:07
between IBM and Microsoft
21:12
- the entire spreadsheet by dragging it
21:16
down to the bottom so now I got the
21:21
differences between Microsoft and IBM
21:27
perfect
21:28
I'm saying IBM - Microsoft in the corner
21:33 - IBM - Microsoft and now we can conduct
21:39
the difference between this strategy as
21:43
it applies to IBM
21:44 - Microsoft and see what is the
21:48
difference between the two companies at
21:50
this point in time very nice
21:55
I can see doing that across the
21:57
hold-down 30 and the down ponent yeah
22:01
and now I'm going to add another sheet
22:04
and show you that how we do forecasting
22:07
I will start with a new solution so for
22:57
any futures and I want historical
23:03
historical data so here I got the
23:09
historical data this is what I got here
23:14
so I can download a working copy so I'm
23:18
going to copy about 30 days into my
23:22
spreadsheet and all of this that I'm
23:24
showing my spreadsheet for ourselves and
23:55
change it today and show the day of the
23:58
week also so this we can see the degrees
24:01
and so this way and we you have you have
24:13
to change the field at that price close
24:29
now I want to we sort it because I want
24:32
the last day to get at the bottom so I'm
24:35
going to go to data sword
24:40
and change the sorting order without the
24:43
headers by column a so now I got the
24:51
October Tuesday today at the bottom you
24:56
follow correct yes I am ended up going
24:58
and all that Bitcoin futures I can copy
25:01
to listen to just typing and also I'm
25:06
putting the URL inside my spreadsheet so
25:10
I know exactly where did I get it the
25:14
stones can replicate everything that I'm
25:16
doing later make sure that they learn
25:20
and then I'm going to put Bitcoin
25:22
futures I'm going to go back to those to
25:26
the spreadsheet there to the URL and
25:28
take exactly what bit wonky relates
25:32
because there are different versions of
25:34
this bill Krahn futures is the cbot 1x
25:39
variety and clicking see and now I want
25:42
I'm going to go back and put it just in
25:45
now I want to get just the text I don't
25:53
want the special attribute so I'm going
25:55
to go change
25:56
thanks and I want to do a podcast a
26:01
linear in the polynomial forecast we are
26:05
going to insert it into my spreadsheet
26:12
and I want to go create the forecast
26:15
angle to start with the linear forecast
26:17
and then a polynomial you already have
26:42
his turning points on the chart so here
28:46
you can see and I'm going to color a
28:48
different see better I'm going to color
28:51
this one way I'm going to go to the
28:53
color and I'm going to change from blue
28:56
to red so some people they don't that I
28:59
getting overwhelmed by that see what it
29:02
is
29:03
okay so now you can see that the linear
29:07
is going down and the polynomial is
29:10
there in this Agreement now we're going
29:17
to copy ctrl C and place it on top of
29:21
the linear control Z there's the put to
29:29
the linear can you follow me I'm here so
29:35
I'm going to make it
29:38
you left the banks a little lineup so
29:45
now I'm going to drag and drop the
29:48
formula next to the R square to make a
29:53
little table comparing the R square of
29:57
the linear to show the urine the
30:00
students the game look using the
30:02
polynomial over linear so I'm going to
30:07
make the header I have the first square
30:12
you're getting good data my I think in
31:16
show the difference between R square
31:30
[Music]
32:40
yes yes so now three day this one unit
33:08
so now I'm going to demonstrate you
33:11
another one
33:11
this is a multivariate okay follow me I
33:20
get yes I do
33:22
I got a very good reading using the
33:25
linear regression and 252 days with 252
33:30
trading days of the year it is and I in
33:32
the right and I look at the residuals
33:37
going back 252 days I they able to build
33:42
a nice model with those residuals
33:44
certain percentage above that line and a
33:47
certain percentage below that line which
33:48
is almost extremely accurate but only
33:51
with that 250 to date data with less
33:53
time data so that it will not be true
33:59
too much in fact there is a residual
34:02
that I'm going to show you right now so
34:05
right now which will be very strong so
34:15
I'm going to it is price
34:30
in the miracle this is our routine
35:24
here in the end and now I'm going to
35:30
delete column B so I can do the mountain
35:33
regression to show you the residuals
35:38
so I delete column B and now I'm going
35:42
to show you the residuals is the next
35:44
thing that I wanted to show you okay so
35:48
I'm going to do go to data and you see
35:54
right now it doesn't have their
35:55
statistical analysis right to change the
35:58
options right people file options so I
36:23
click on the Go button and I check mark
36:26
analysis toolpak yeah yes okay Dana Dana
36:44
Alice's so I think big that else's now
36:48
I'm going to take the regression but
36:50
this time I'm going to show you the
36:55
multivariate regression mm-hmm okay so
37:04
the one again when price from labor
37:07
forecast this is why because it's easy
37:15
to explain indeed there is too painful
37:20
there
38:08
okay yeah so yeah
39:28
and now I'll try to get again and we can
39:54
I wanna buy stupid Sunday and believe
39:59
the Sunday because yeah but anyway let's
40:16
see if I can whatever can we please
40:22
nothing require just just translate let
40:31
me say in French before Russia's again
40:34
continue and our non-numeric so the
40:41
Sundays but you said before you have to
40:44
deal with them because they are not
40:45
really relevant for some reason they
40:48
stick em in there but all of this can be
40:51
done automatically with VBA in yeah you
40:55
can program and take out all Sundays you
40:58
know and do you work with the deep dde
41:09
like it or just vba exchange cuz i see a
41:19
lot of this dde add-on expel Excel
41:24
spreadsheets from a lot of the other
41:25
brokerage firms
41:26
yeah yes we are also having streaming it
41:30
we can stream it to an Excel spreadsheet
41:32
in real time anyway so I'm going to go
41:36
back to Dana
41:37
now a little smile might be be a sports
41:42
or going to options and I'm going to our
41:45
headings and I'm going to add those a
41:49
and analysis tool pack and okay
41:59
so I'm going to go to regression again I
42:01
just wanted to show you the residual
42:03
analysis because I think that it will be
42:06
valuable to improving the performance of
42:08
your forecast
42:10
absolutely absolutely okay and now I'm
42:15
going to use the changes you were to
42:22
change focus to change and I can also so
42:31
this will be x one price to be x2 its
42:35
own and a big volume because they know
42:41
and now it's less data confidence a
42:47
residual standing residual blood line
42:51
plot fit right and normal and I click OK
42:57
well now I got my I'm going to scroll
43:05
down to the risk you have all these
43:07
plots each path is telling you something
43:11
different and you scroll down to the
43:14
residuals and here is my residual with
43:17
the probability output the time points
43:21
to move over one set so this is here
43:24
they make Oh
43:29
so this is the residual which is left
43:32
over but the longer soul you see alright
43:42
so we we could take the the overbought
43:45
or oversold and have a to say an average
43:49
of the oversold price an average of the
43:51
under sold price it gives a good nice
43:53
clean entries yeah right and you know
43:59
also charged for the residuals to see
44:02
they didn't charge and of course it
44:09
would be different if you had more David
44:14
not that the residual blood that because
44:20
one I don't have to move a cursor down a
44:24
lot you see already I crushed Excel here
44:28
is the height here's the residual chart
44:30
to see the the residual so okay so right
44:35
if we took this and just look at it
44:37
visually you would be you would look at
44:39
something that says okay these residual
44:42
above the regression line a show
44:46
overbought oversold and below oversold
44:50
in the middle of the cluster of fair
44:51
value or something like that but start
44:53
looking with towards the the ones that
44:56
are overbought or oversold and have
44:58
systems that are waiting triggers that
45:01
are waiting the market at those
45:02
percentage moves
45:04
that's I've got yeah the idea is to have
45:08
a constant plot line that you can use it
45:11
against all markets and when the markets
45:13
deviate too much from that middle line
45:15
it's gonna generate sell signals with
45:18
very little loss right I made the chart
45:23
for your residual you see a chart title
45:25
is basically residuals so that is the
45:29
residuals right here and you can see
45:31
when the crossovers in the observation
45:35
that are predicted
45:45
so this is the updated page bla bla
46:39
doing the steel over here but this will
46:42
go to this URL you see so let me go back
47:20
you know who did it there you know place
47:26
it here so I have already open up the
47:35
page see
47:40
so now we share the data your sulamita
47:47
malaria get you there and then you have
47:50
to put the URL in here base and then
47:54
click go and argue that claim has to
47:59
straighten about anywhere in fact you
48:02
get the idea to go to the URL you can
48:06
suggest an update it then you have to
48:08
tell you every 5 seconds or ever to be
48:36
interesting we're having some machine
48:43
learning the models being built around
48:46
our square and the linear regression
48:49
line GP from commencing work on we're
48:53
going to see some studies that we're
48:56
trying to use it more as a filter as
48:58
opposed to a system but I've had some
49:01
some I opening experiences with linear
49:05
regression since you guys turned me on
49:06
to it
49:09
enjoying the linear regression of ninja
49:11
so this is typically what we teach let
49:15
me show you on going to ninja back there
49:19
is a ninja so what about doing typically
49:22
by adding to this a polynomial and
49:25
linear regression so you go to the
49:29
control panel
49:39
[Music]
50:11
I always of all these yeah you know the
50:21
and all these yes
51:07
[Music]
51:55
so the linear regression I showed you
52:00
and they said I'm going to tell you at a
52:35
certain point to go short depending or
52:38
to grow along and I want to get an arts
52:41
priorities on the upswing so I will
52:45
change into our cross here you see of
52:52
these this the last offset do you have
52:55
is a great cell signal
52:56
okay yes this is an example a symposium
53:00
is a good sensing will accept entities
53:02
not so good the reason I can't see
53:31
it's going down
53:56
okay so it's inverse so let me show you
54:01
another example where it R square is
54:05
going up so another little blue icon the
54:11
by July make you like the mid July by
54:34
doing one example you see that it says
54:54
cents short and it is really short on
55:01
the bottom the minimum point instead I
55:05
learned who started in 3d
55:09
the problem is in the squeeze
55:14
a 16% which is hello I like to go when
55:19
it's 30% good it goes down pretty low so
55:31
anyways this is some of the things that
55:33
you are teaching to incorporate this
55:35
into the trailing cluster and it'll
55:48
filter out some glitches some traits so
55:52
the good filter see the difference
56:09
between teaches that include a short
56:31
holding period so within the teaching
56:34
session like from 9:30 to concurring you
56:37
can enter an exit and ditch to stop some
56:41
principles of algorithmic trading and so
56:46
doing institute a few thousand followers
56:51
so is to promote your brand name thank
56:58
you
56:59
okay we're gonna get to work with the
57:04
r-square and linear on the new models
57:06
that are being developed by the machine
57:09
I'll have something for you very very
57:12
shortly
57:12
just to say or at least test from our
57:15
side we're basically the we're gonna
57:18
slow some of our systems we're going to
57:19
add these filters and hopefully we'll
57:21
get something that is
58:16
with Wordsworth it were at a point where
58:19
we know we want to manage and the
58:23
software is very good money and however
58:26
it doesn't have that mechanism we are
58:31
saying that credibility you know cp82
58:34
license application registered and under
58:38
rules and that gives the credibility
58:44
enjoy they make think very much yes I
58:51
have the software side is is different
58:55
because it it's all out there's a lot of
58:58
people ripping a lot of people off you
59:00
know with systems with courses with the
59:03
chat rooms all the stuff getting bad
59:05
names out there accelerating in the the
59:09
Bitcoin field you know it happened
59:11
through the Forex we want no part of
59:13
that you know I had something you know
59:15
of that nature in South Florida many
59:19
years ago that I felt that's you know
59:21
that's like going the wrong way
59:23
and what I see that has helped me it's
59:26
been the futures to thinking because you
59:28
know anyone get up here me with one
59:30
system and get lucky and be rated number
59:33
one
59:34
but he's doing it consistently now that
59:36
one year two years three years that were
59:37
on a fourth year it's changed a lot that
59:40
the perception has changed lat I know
59:42
that I can cure that the other thing is
59:44
so you see a lot of promoters selling
59:48
garbage and a half after three four
59:50
months you see complaints large to the
59:53
regulators or rock where hey don't go
59:56
near that clock preserve their scam
59:58
artists you're no good there's a net net
60:00
when you start to see it developers and
60:03
Heather let's just say other companies
60:08
are doing this that I'm doing but I
60:10
don't see our product I don't see
60:12
anything that says a property don't go
60:14
to hey that liver
60:15
they got mad customer support ins they
60:17
said it's quite the opposite so to us
60:20
that's refreshing we want we need to
60:21
protect that because that's one we have
60:23
one dated one guys than many I bought
60:25
the software and actually these system
60:27
it's garbage so good
60:29
whatever it is that destroys more
60:32
credibility in art and art is just just
60:34
the allegation it's almost like the
60:36
judge Capernaum so I don't what we don't
60:39
have any lawyers no just want to state
60:41
we want to stay forward to the managed
60:43
money the cleaner of vehicle head and
60:45
not only that beginning with higher
60:47
sophisticated investors they think they
60:50
know months the notice might much no
60:52
performance reports and they could tell
60:54
if your BS in them or not
60:56
and to know this sushi you know it's not
60:58
a little little old lady that you're
60:59
trying to sell a system to and saying
61:01
okay greatest thing since sliced bread
61:03
these are real sharks then one day you
61:07
know which way they're asking me some
61:09
very tough questions and they were
61:10
asking to the right important and you
61:13
know but for now not with delivering
61:15
stuff that is the baby steps
61:28
let me ask you Danny
61:32
so how much others if you just let it
61:35
going thank you one that you can
61:37
Matakana accent trade or you have to put
61:40
any order stuff no
61:46
I have yet to say a 100% automation on
61:56
90% of the systems so it is very few
62:00
system if there are few systems that
62:01
require a human element or let me look
62:05
at this in a different way
62:06
most of it is auto act all of it you
62:09
know all the top rate stuff is auto
62:11
lexically these cooking out of X system
62:13
you know so this is where you work not
62:16
only oughta watch but that it has a stop
62:18
loss yeah so this is very important to
62:25
the masses
62:27
I was talking to you David and attempt I
62:31
think the masses see a lot more than we
62:35
do I mean we're only in a fitness and
62:37
it's base although that spaces Jews
62:39
that's yoga Forex bill disputes is a
62:41
built in with cyber currencies in that's
62:45
maybe 15 20 % Oh what's out there
62:50
what what about the UPF semen in Spanish
62:54
that's a cute universe to how many
62:57
people trading Adobe or Tesla or Netflix
63:00
or right there Express that's a human
63:03
much bigger market and it's but they
63:05
don't have the tools that we can show
63:07
them so if somebody's I love American
63:11
Express all I trade well if they do
63:13
anything had a system for American
63:14
Express
63:15
they might entertain binding you know
63:18
what they think will reduce you to
63:19
system now I'm really big that's clean
63:21
it to boil so there's a whole world
63:24
thing get out here I know everyone else
63:36
is that everyone else bill system around
63:40
Trice Bryson first and maybe long game
63:44
study my stuff is eight hours and
63:49
minutes first second you have our signal
63:52
it's red you get the public about
63:55
holding it goes
63:57
I can see it so tell me what is the
64:12
upper bound of the polynomial what color
64:14
is it
64:17
tread that's right the lower bound is
64:20
blue
64:22
yes I see it and you see in this case
64:25
what we are looking for and then maybe
64:33
our building or a down yes yes and that
64:42
is the slope remember that I'm
64:44
mentioning angstrom yes yes so that
64:47
would be in this case in October for
64:54
this week mission the linear polynomial
64:59
sign so you went you went from a July I
65:16
presume that October 1st 2018 yes yes
65:25
exposed me what will bring the sign in
65:30
front of a with is the plus or minus
65:42 - that's right so if I pocket the chart
65:47
in exam we're doing a cold you'll be
65:51
able to see it better I go back to excel
65:53
form in it for here is my excel sheet
65:58
and I'm going today this I'm going to
66:04
move this thing away from the center
66:07
there I wanna go to sheet or could not I
66:11
have to to finish like this which is
66:17
born at me the spirit is missing now
66:34
okay the dumping of my jammies more
66:38
Selenia I'm sorry I'm back with you
66:45
hello okay if I open it again
66:56
you seen it great the sheet one I know I
67:09
want to open this IBM
67:48
[Music]
68:06
yeah yes using linear equations the
69:03
future so if you look at the spreadsheet
69:05
again look at the time of the chart what
69:13
is the last bit of the charcoal make it
69:15
a lot useful is it a little better you
69:18
go
69:24
October October 29th when you the future
69:40
the carport looking forward is the
70:16
university that we stuff people support
70:27
anytime somebody cools fantastic
70:34
I like that funny I know that when they
70:36
come your company we get a human online
70:40
even knows what to do or we do a video
70:44
conference within the video conference
70:47
with you face to face in the computer to
71:04
mark in the superior user has no support
71:08
whatsoever i you've been living in
71:14
Florida too long army sorry I am
71:17
teaching you about Computer Fraud so I'm
71:20
very familiar with all the kinds of
71:22
computer project I used to teach through
71:24
the years I'm teaching commodity so I'm
71:29
very familiar with all these phones and
71:30
people have been reading about and so
71:33
scare the Wits out of there so what we
71:37
have forensic a forensic accounting
71:40
there's of course there's the courses I
71:42
was teaching in our published several
71:44
hundred articles about so we're comes
71:49
within the confidence
72:11
[Applause]
72:43
seriously very good family good and
72:50
these these are bright kids that should
72:51
be able to pass a series three first
72:53
time around
72:53
yeah right 125 questions an
72:57
hour-and-a-half exam and it's not as
72:59
intensive as a series seven but it's a
73:02
professional license is a very good
73:03
start we were talking about that because
73:05
here's a way that you can get whether
73:08
it's an MBA graduate or a graduate
73:10
coming out of business school sponsored
73:14
him for Series three against that within
73:16
45 days not only has real NASD license
73:20
we go back to his own country and maybe
73:24
work for his family business or the idea
73:29
Japanese to set up satellite businesses
73:32
so once we trained and they passed the
73:35
she restraining route back to China or
73:37
something Arabia wherever they go
73:39
to set up an office for local support
73:46
and locally they can print you make a
73:49
branch office of the CTA exactly a CPA
73:54
you're not just setting on because I
73:56
don't think they're gonna be twisted I'm
73:58
gonna set up a software distributor it's
74:01
got an MBA mind I'm not gonna set up so
74:04
he told softer shop but you know what
74:06
I'm interested in being a CTA and if I
74:08
could be a CPA in Japan and I already
74:11
have soft with you slap the clock it
74:13
didn't only just do something I think
74:14
that might be a little more interesting
74:23
a finance major and if they will take
74:28
the series and recommend it to their
74:32
clients and in in a native language and
74:35
explaining to them exactly because if
74:38
you have a place like United never
74:40
remember it's guitar these are the
74:42
places that you have tons of money but
74:45
you have very very little talent a lot
74:47
of very few people managing a lot of
74:49
wealth and basically they're into their
74:51
guys it's game over United States
74:53
studied ed and warden order good finish
74:56
school and move back to your their
74:58
country now they're trading lots of
75:01
money for family and sovereign welfare
75:04
and they really don't really know what
75:06
you're doing but they're entrusted with
75:08
with this and if they have you know a
75:11
certain vehicle or Lea compass that they
75:14
can help them I think think you know
75:16
they don't burn out as quickly and they
75:19
won't lose money this is what I have you
75:21
have a lot amenable this is a very tough
75:27
business and if people think it's easy
75:28
especially these guys now in the in
75:31
decipher currencies that then made some
75:33
money or they had a friend that made
75:34
very easy money and they think it's like
75:36
that all the time it's not you know
75:37
they're gonna get a you know there's
75:40
like a lot of these guys they have not
75:42
say they last major crash we had in 1987
75:45
October of 1987 think about a 28 year
75:48
old or a 31 year old stockbroker that's
75:51
making pretty good money now he was a
75:53
kid maybe was even born he doesn't know
75:55
how volatile these were she wasn't can
75:57
become
75:57
yeah so so this is uh this is something
76:01
that when we have I think we're
76:03
beginning to shake out of the Dow Jones
76:05
now I I have gone on record saying that
76:09
interest rates have bottle to me we're
76:12
gonna go we're gonna fly up in interest
76:14
rates maybe not to a tune of ten eleven
76:16
percent we're gonna get to six seven
76:18
eight percent very very clear case the
76:20
markets gonna come down and it'll come
76:21
down you know a good ten maybe fifteen
76:24
percent that's not that bad it could be
76:27
a lot worse but in that drop there's
76:29
gonna be a lot of money to be made and I
76:31
think we're gonna get another leg up on
76:32
the Bighorn from sixty five hundred
76:34
we're probably gonna rally to eleven
76:36
thousand and change there's good money
76:38
on the table here straight ahead and
76:40
these markets don't scare me what scares
76:44
me anymore the the systemic where's
76:46
something that with our martial law or
76:49
outside of the ATM starting stop orchid
76:52
banking system that's more my concern
76:54
like I've got to be able to make the
76:56
money monetize it and put it into
76:58
something that I'm comfortable you know
77:02
it's real assets you know you know
77:03
farmland food something tangible
77:08
I don't like paper I don't like folded
77:10
paper I don't like my clients holding
77:12
paper currencies there's some day I like
77:15
like New Zealand these other currencies
77:17
that I'm very uncomfortable holding so
77:20
this one's remixed over the next five
77:22
ten years is gonna be much much
77:24
different landscape than the last thirty
77:26
five years which we think condition to
77:28
do buy and hold and the markets gonna
77:31
come back and you know any any
77:32
correction of four percent eight percent
77:34
is gonna be met with buying and we're
77:37
gonna go back up
77:38
I don't think so this time well I think
77:39
there's some some trouble and there
77:41
could be a reset and they're stuck with
77:44
its Trump administration and stuff with
77:47
the petrodollar
77:47
I think there's turbulence coming and I
77:50
and I can see it already so my thing is
77:53
to the hopefully set up shop with your
77:56
assistance maybe some of the grad
77:58
students but I think we've got a clock
78:01
to beat here but Jimmy the most
78:05
important thing is you know we said to
78:08
David he was describing to us
78:17
yes well it's correct well listen this
78:28
this emotions that most people have big
78:32
traders when they put their own money
78:33
they change is different like David was
78:35
like wait a second when when things were
78:37
moving against them he was in distress
78:39
and would worry when he was at yeah the
78:44
point the point I would like to make to
78:50
you is that he didn't want to my room or
78:54
contract is the idea of sitting side by
78:57
side and you infusing the confidence and
79:04
he saw us he said I'm going to train you
79:13
don't have me funded I would like to
79:15
make a self confidence from 0 to 100 and
79:22
when he came back he was so excited I do
79:31
I understand it and I have I have other
79:33
people that don't act as quickly as
79:36
David did you know David has shown some
79:39
of his clients the results and listened
79:41
doctor I have had good results from the
79:45
from the clock workgroup from the from
79:47
the futures truth from the systems and
79:49
I've had a lot of people call and I've
79:53
had some crack crackpots there is like
80:03
somebody sitting by you not everything
80:10
goes alright but close
81:20
so you just think you did a good job you
81:39
took him from zero to a hero and cannot
81:44
sleep it is not funny
81:46
he cannot sleep at night he was so
81:49
excited it was ten o'clock already in
81:52
this in this easel he's the other
82:08
extreme I have so many people that I
82:10
tried to show the same thing I go
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