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Does
the EURUSD Move Up or Down at the Sydney Open? (17:00
Eastern) A Report Produced Using Quantum
Charts
One
of the most important, and in my opinion, most profitable things to
understand about FOREX trading is that time matters. What you are
about to read has some very convincing numbers to back this statement
up. Mind you, this is only the tip of the iceberg and I am limiting
the information in this report to 1 currency and 1 opening time
frame.
The
size of the FOREX market in general dwarfs all other markets. One of
the unique aspects to the FOREX market is the effect of world
trading. The FOREX industry is the only one in the world where there
are 5 significant trading time zones. Unlike stock exchanges, the
currency pairs traded across all world markets are the same. When
the stock market opens up in Tokyo, the stocks are primarily Japanese
stocks. However, when the FOREX opens, the same currency pairs that
were trading in the US the previous day are the same ones being
traded across the world at opening time in Tokyo.
Time
matters.
This report is going to focus on only 1 currency
pair and 1 opening session, the EURUSD and the Sydney, Australia
open. Sydney is the first opening session in the world, the first to
begin the day. The EURUSD is one of the most popular currency pairs,
if not the most popular.
Market Movement Stats:
All
information was obtained using Quantum Charts which has a unique
feature that shows what is called market movement stats. MMS
provides information on actual market movement after a setup. If you
know the history of market direction, you know how to properly exit a
trade. This information is extremely valuable information because it
eliminates the need to come up with premature exit criteria.
(Stay
Tuned for a complete tutorial of Market Movement Stats coming in the
near future)
Does
the EURUSD Move Up or Down at 17:00 Eastern (Sydney Open)
The
stats above are from late 2001 to July of 2010. Bar 1 is the first
30-minute bar after the open and closes at 17:30. As you can see,
the stats are dead even with the market closing higher 50% of the
time and lower 50% of the time.
Bar 2 is the close relative
to the opening price at 17:00 and closes at 18:00. Accordingly, the
close at 18:00 has been lower 56% of the time and higher only 44% of
the time.
At first glance, this may not seem very
significant, but it is. If you were to flip a coin 1,774 times
(provided no intervening bias to the flips), the probability of it
landing heads or tails up 56% of the time basically at 0%
(.0000000043% to be exact). Accordingly, with this many occurrences,
there is definitely a bias to the downside within the first several
hours of the open.
The question is to find out whether there
is other information or conditions that tend to precede the 57% of
the time the market moves down that will increase our probability
even more. Accordingly, I begin to look at market action itself. We
know that within 1 bar of the open, the market has moved up or down
equally. But what if we look at the 2nd
bar if the 1st
bar closes higher? This means that we will be looking at the 866
occurrences where the market moved higher and seeing what happens
after that.
At 17:30, if the close is greater than the close
of the 17:00 bar, where does the EURUSD move?
The second bar
shaded opens at 17:00 and closes at 17:29. We are looking for when
that bar closes greater than the previous bar’s close, which
you can see occurs here. Bar 1 in the stats below is the first bar
after the shaded pattern. It opens at 17:30 and closes at 17:59.
It is important to note that the Bar 1 stats are relative to
the close at 17:29.
As
you can see, within 1 hour (2-bars) of this pattern, the market has
moved down 64% of the time. 64% is not bad, but we have reduced the
number of total occurrences by half. We have also proven that these
stats are not random. The probability of this occurring randomly is
(.15 zeros …399% to be exact**).
**Note, these will be
listed as 3.99%-15 from here on out. The -15 is the number of zeros
after the decimal point that precede an actual number value. It
looks like: .000000000000000399%
Since I believe time
matters, my next step is to back out of the price pattern itself (the
requirement for the close to be greater than the previous close), and
look at the days of the week to see if there are any specific days
that tend to see the market drop significantly more than others. I
will start out with Monday 17:00 NY time, which is actually Tuesday
morning in Sydney:
Monday:
Tuesday:
Wednesday:
Thursday:
Sunday:
Summary
of Days of Week within first 2-hours:
Monday – Down 60%
within 2-hours Tuesday – Down 53% within 2-hours Wednesday
– Down 58% within 2-hours Thursday – Down 62% within
1-hour Sunday – Down 52% within 1-hour
The most
bearish day is Thursday evening (Sydney Friday morning). However,
this stat is actually closer to random than the other stats shown at
3.39%-06 probability of being random stats. Overall, the day of week
in and of itself does not seem to provide any additional bias in
short-term direction after the Sydney open.
The
next step is to bring back the pattern and couple it with the day of
the week. We will look at what happens each day when the opening bar
close is greater than the previous close.
I will show you the
screen shots for Monday and Thursday as they are the most bearish.
Monday:
Thursday:
Monday
– 70% within first ½ hour (1-bar) Random Probability =
4.43%-07 Thursday – 72% within first ½ hour (1-bar)
Random Probability = 1.40%-08
The other days were as follows:
Tuesday
– 63% within 2-bars. RP = 3.86%-03 Wednesday – 63%
within 2-bars. RP = 3.36%-03 Sunday – 54% within 2 bars.
RP = 14.6%
Clearly,
all stats are solid except for Sunday (Monday morning open in
Sydney), which makes sense to be the odd day out because it is the
only day of the week where the market opened after being closed for
2-days on a consistent basis. The stats generated come in at almost
a 15% probability of being random. Because of the stark difference
and very high probability of being random, I will now throw out the
Sunday evening opening session for all remaining scenarios.
Here
are all stats based on Monday – Thursday opening session if the
first bar’s close is greater than the previous close:
RP
= less than 1.70%-15
The
next step is to increase the move higher on the initial opening bar.
Previously, we were looking at the close being greater than the
previous close. We will now require that the close is greater than
the previous high instead:
As
you can see, the stats are very solid showing 70% of the time the
market moves down within 2 bars. The RP is at 1.75%-11
If I
increase the time frame in which the close is greater than the
previous high in either the first OR second bar of the opening, the
following stats occur:
Here,
the % moving lower dropped by 2%, but the number of total occurrences
increased by 135. This caused the RP to decrease to 1.85%-13 while
maintaining a very solid % stat. This trend continues if we expand
the time before the price action condition occurs. If we allow the
close above the previous high to occur within the first 4 bars of the
market opening, total number of occurrences increases by over 200 to
621 with 66% of them closing down the following bar (see below).
This brings the RP to 2.72%-16. It is interesting to note that these
are getting very close to the stats shown when the opening bar’s
close is greater than the previous close in general (page 3).
Accordingly,
there are times when the opening bar closes higher and the market
continues to move higher to the point of closing above the previous
high.
Here, the light
gray bar in the shade is the 17:00 bar. As you can see, it closed
higher than the previous close. Even those the stats show that the
market generally moves lower within a few bars, sometimes, it can
continue to move higher. The last bar in the shade shows the
pattern of the opening bar’s close being greater followed by a
bar where the close is greater than the previous high within 2 bars
of the opening bar. The MMS when this occurs are below:
What
does this mean? It means that if you were to implement a strategy
where you go short if the opening close is greater than the previous
close, and the market doesn’t move in your direction, you have
an opportunity to add to your short, or re-establish your short if
you were stopped out or already took a target. 70% of the time the
market has moved lower within 2 bars of this occurring. The RP on
this potential re-entry is 4.82%-08.
Getting back to the
original premise that the market has a solid probability of moving
down after an up-move shortly after the open, I added a 14 period
simple moving average filter to the mix. I simply required that the
low of the bar that moved higher GREATER THAN the moving average.
See example below:
The light gray bar
is the 17:00 bar, which you can see has a close greater than the
previous close. The market moved down 9 pips and then the dark gray
bar shows a close greater than the previous high (within 4 bars of
the opening bar). The blue line represents the 14 bar simple moving
average. You will notice that the low of the dark gray bar is
greater than the moving average. This is the filter used for the
stats below.
Using
this filter dropped the number of occurrences, but notably increased
the probability of the market moving down. The RP with this pattern
and filter is at 2.81%-13.
Creating the opposite filter
produces some interesting confirmation stats. There is still a move
down 60% of the time, but the RP drops to 5.83%-02.
I then
changed the filter to only show occurrences when the 14 bar simple
moving average had moved higher for 10 consecutive bars (the market
had been moving up prior to the Sydney open). If a close above the
previous high occurs within 4 bars of the open, the market has moved:
These
are very solid stats showing 75% of the time the market moves down by
an average of 13 pips within 2 bars. The RP on this is at 3.84%-11.
If I require that the close above the previous high occur within 2
bars of the open, instead of 4 bars, the % the market moves down is:
The
really interesting part about these stats is that when the market
moves down, it tends to continue moving down for several hours. This
increases your profit potential per trade with the average peak lower
after 10 bars tops out at 26 pips. BTW, the RP on this is 1.79%-10.
NOTE – If the % stat is more favorable, the RP stat
doesn’t have to increase as well. What we are looking for is
the % stat to increase while the RP stat is maintained despite the
change. This helps validate the % increase in the market movement
stats.
Again, another very interesting confirmation to the
short-term necessity for the market to have been moving higher…if
we use a condition where the 14 bar simple MA has moved lower for 10
bars in a row, and REMOVE the requirement for a close greater than
the previous high, the following stats occur:
All
of a sudden, our bearish probabilities vanish and are actually
slightly bullish after the Sydney open. Interestingly enough, if I
add a condition for a close to be LOWER than the previous low (within
1 bar of the open) with this MA filter, there is a hint of a buying
possibility:
These
stats are nowhere near as solid as most of our bearish opportunities
we have uncovered here. They are not bad at 69%, but with only 74
occurrences, the RP is at 1.22%-02. The opportunity looks to be
short-lived and simply not as robust. However, what this does
provide, if nothing else, is confirmation of the validity of all the
bearish opportunities we have come across in this report. To do
exactly the opposite and get the opposite results when the general
consensus was down anyway (see page 2) adds credibility to what the
numbers are showing.
SUMMARY
–
No
matter which way you slice it, if the EURUSD moves up shortly after
the open of the Sydney market, there is a selling opportunity
available. You will notice that there was no optimization going on.
Of course, changing variable will change stats to some degree, but
the general trend was down no matter what the variable, as long as
the principle was in place.
Only
Quantum Charts gives you the ability to quickly and easily research
trading opportunities without having to program a single word of
code. If you have not obtained your copy of Quantum Charts, visit
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