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going to become more volatile
than Euro AED for example
2
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that's just not going to happen
this this document is just
3
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there's a lot to learn in that
of course but in terms of the
4
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want a more volatile pair and
yeah that's it guys so I'll see
5
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because because these are based
on weekly and monthly time
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so it's not going to be
completely up to date but
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you guys in the next lesson and
hope you benefit from this
8
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data I've got an excel document
that I'm going to provide every
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rises your money is not worth
what it was before so if you
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single student this is data
collected from a few months ago
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pairs. The Mexican peso
Norwegian corona I think it's
12
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called and yeah I mean this is
this is sort of a precursor
13
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characteristics because you
know when there's a recession
14
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into the fundamental course
that we'll be going through
15
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got the medium range which is
I'd say CAD and AUD you could
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or the economy is going through
a crisis or anything sort of
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pairs. They're not heavily
traded. Usually commodity-based
18
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know a bit about all these
pairs you know that these are
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essentially it both works as a
hedge against the economy so as
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your investment stable
essentially it means you have
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thing come into play when
working out the volatility So
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lot of iron they export a lot
of gold all these kinds of
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are most traded and also that
have safe haven sort of
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of exports but then the most
volatile pairs are the exotic
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even put NZD in there as well.
I mean any country with a lot
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lot of people invest in safe
haven currencies then you've
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movements and volatility. Uh
least volatile pairs pairs that
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invest their money in safe
haven currencies they want
29
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can invest in something that
will keep your income stable or
30
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commodity based pairs. These
are pairs that have a lot of
31
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now now you understand certain
pairs of different kinds of
32
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going to explain to you which
pairs you can look for if you
33
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frames not much is going to
change I mean Euro GBP is not
34
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linked to the Eurozone and also
United States if you compare
35
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we we could look at the weekly
or the monthly. Uh weekly is a
36
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movement so what Happens when
you compare it to everything
37
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I'm just going to explain it
really quickly but as inflation
38
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has great Able so low
volatility. Euro GBP as well.
39
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that to Australia or New
Zealand you know they export a
40
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exports and less imports. So
Euro USD for example you're
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Pairs like Euro AED, Euronoc,
Eurozar, EuroNZD. If you if you
42
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we can expect that kind of
volatility that much so price
43
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good measure just because you
know on the daily if you look
44
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negative around the world many
investors will flock to to
45
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good piece of data for that but
yeah as you can see Euro USD
46
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quite a good sort of not
prediction but it's quite a
47
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at the ATR some days are
going to have news events so
48
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We've got some labeled in red,
blue and then grey. The grey
49
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ones are the ones with very
much lower volatility. Usually
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so if the price right now for
Euro and USD is $1 it it takes
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gotten richer in proportion to
the whole world so that's why a
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that might change it all the
data weekly is quite a good
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else. Um if you guys can see
we've got this table here.
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you know what it is it's how
much how much the pair moves
55
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that means how much it moves by
in percentage points is 1. 67%
56
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pairs that will give them the
highest yield on their money so
57
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changes but if lots and lots
and lots of people took part of
58
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one euro whatever it is it will
change by 1. 67% that week so
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crazy crazy moves and the
reason for that is the amount
60
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we've got so what's this mean
you see here we've got Euro USD
61
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currency today and I was the
only one that control that had
62
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before we get any further
average shoe rate just just so
63
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the ATR was calculated for
pretty much all the pairs so
64
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not you can simply work it out.
Use Excel and the data to work
65
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before we got sent this and you
know it was very helpful but
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that's invested into that pair.
If I was to come up with a
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for example we've got Euro USD
values here and by the way
68
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volatility of each pair can be
measured by the ATR average
69
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direction I want. So how do we
measure volatility? So
70
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true range. Now this is
something that you can put on I
71
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market cap in a way. Let's just
say the max amount of money
72
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changing the currency and
trading it then of course it'd
73
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essentially and by how much
percentage so you see how here
74
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that that money I would easily
control the you know the price
75
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be harder for me to shift that
currency in my favor in the
76
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believe you can put on your
charts on trade in view. Uh if
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going to get maybe 8 00 pip
moves in a week or so. You know
78
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of money that it takes to shift
Euro USD even one pip is so
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African Rand that pair a lot
more frequently like you're
80
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much more than USDs are simply
because there's not enough
81
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traded pair across the world by
banks by institutions of course
82
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it out. Personally in in a
previous group that I was in
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volatility and then you've got
liquidity as well liquidity
84
00:01:13,483 --> 00:01:18,563
market so if you guys didn't
know Euro USD is the most
85
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there they mainly make up the
whole sector but then on the
86
00:00:54,483 --> 00:00:56,683
much more frequently and
quickly making it more
87
00:01:00,483 --> 00:01:05,723
away from. So just to explain
this properly you've got
88
00:00:43,483 --> 00:00:46,323
the market to move even just a
pip, lots of money must be
89
00:00:40,003 --> 00:00:43,483
are some of the most liquid and
heavily traded pairs and so for
90
00:00:46,323 --> 00:00:50,403
moved. On the opposite end of
the spectrum, exotic pairs
91
00:00:56,683 --> 00:01:00,483
volatile. These are the that
retail traders usually stay
92
00:01:27,403 --> 00:01:31,443
opposite side you've got some
exotic pairs like USD South
93
00:03:20,603 --> 00:03:27,043
1. 67% so in one year the
weekly average trade range so
94
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which have much lower
liquidity, its prices moves
95
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what it is is the amount of
money that flows into that
96
00:00:24,623 --> 00:00:27,543
back this up as well.
97
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market is. So, the volume of
the market participants. Thus,
98
00:00:35,563 --> 00:00:40,003
impacting the volatility. For
example, Euro GBP and Euro USD
99
00:00:28,543 --> 00:00:32,443
So, the difference between
marketplaces is how liquid the
100
00:00:13,903 --> 00:00:17,703
start getting you into
fundamentals. Um of course it's
101
00:00:09,263 --> 00:00:13,903
currency, volatility and data.
So this is kind of going to
102
00:00:17,703 --> 00:00:21,023
so much more than this but this
is simply just to understand
103
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the volatility of each pair.
And then using some data to
104
00:00:06,983 --> 00:00:09,263
Um so in this world we're
going to be looking at
105
00:07:45,183 --> 00:07:48,183
alright take care.
106
00:00:02,843 --> 00:00:06,983
Yes guys, welcome to the next
lesson I'll be going through.
9810
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