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Results from August 2006 To March 2007
The table below contains information on 28 of our most recent futures
trades dating all the way back to August 2006. Our latest home run was
in copper which generated over 16,000 in profits per contract. We have
updated our systems now to catch the full move of the New leg up or down
of any market that has either bottomed or topped. This is can be seen if
one looks at our recent trades in Cocoa, Soybeans, Copper etc.
|
Symbol
|
Entry price
|
Current price
|
Exit price
|
Comments
|
|
Cocoa Dec 06
(filled in Oct 06) |
1415 |
Sold
|
1530 |
Deployed second 1/3 of the money. (Nov 06) |
|
Dow Dec 06 short
(filled Oct 06) |
11820 |
Rolled
over
|
|
½ position |
|
Cocoa Dec 06
(Filled in August 06) |
1470 |
Sold
|
1515 |
1/3 position |
|
Coffee Dec 06
(Filled in August 06) |
106.40 |
Sold
|
114 |
½ position (Nov 06) |
|
Dow Dec 06 Short
(filled Oct 06) |
12160 |
Rolled
over
|
|
½ position |
|
Cotton Dec 06
(filled Nov 06) |
48.60 |
Sold
|
47.70 |
1/3 position |
|
Cocoa Dec 06
(Filled Sept 06) |
1460 |
Sold
|
1515 |
1/3 position |
|
Sugar March 07
(Filled Nov 06) |
11.25-11.31 |
Sold
|
11.00 |
1/3 position Sold in Feb 07
|
|
Cocoa March 07
(Filled Nov 06) |
1530 |
Sold
|
1689-1695 |
1/3 position Sold in Feb 07 |
|
Cocoa March 07
(filled Nov 06) |
1490 |
Sold
|
1627 |
1/3 position. Sold in Jan 07.
|
|
Cotton March 07
(filled Nov 06) |
52.80 |
Sold
|
53.10 |
1/3 position. Profit stop was hit (Feb 07)
|
|
Cotton March 07
(filled Nov 06) |
51.60 |
Sold
|
53.10 |
1/3 position. Sold in Feb 07.
|
|
Oil Jan 07
(filled in Nov 06) |
60.30 |
Sold
|
63.00 |
1/2 Position. Closed out Dec 06.
|
|
Sugar March 07
(filled Dec 07) |
11.20 |
Sold
|
11.00 |
1/3 position |
|
Dow Dec 06 short
(Filled Nov 07) |
12240 |
Rolled
over
|
|
1/3 position |
|
Oil March 07
(filled Jan 07) |
52.10-52.50 |
|
54.00-54.60
|
It traded way below this level so it was very
easy to get a fill here. 3 days later it entered our exit
ranges and we closed our positions out in the 54-54.60 ranges.
|
|
Sugar March 07
(filled Jan 07) |
10.40 |
Sold
|
11.00 |
1/3 position Sold in Feb 07 |
|
Copper March 07
(filled in March 07) |
255.00 |
Sold
|
274.80-276.00 |
1/3 position Sold in Feb 07 |
|
Feeder Cattle March 07
(filled in Jan 07) |
90.90 |
Sold
|
93-93.60 |
This was a rapid trade for risk takers.
|
|
Canadian dollar march 07
Filled in Jan 07
|
84.70 |
Sold
|
86.14 |
Closed this position out in Feb 07.
|
|
Cocoa March 07
(filled in Jan 07)
|
1620 |
Sold
|
1740 |
1/3 position Sold in Feb 07 |
|
Cotton (March 07)
(filled in Jan 07) |
53.10 |
Sold
|
53.10 |
Break Even Trade. |
|
Dow March 07
(Nov 2006) |
Rolled over average entry of 12073.
|
Sold
|
12000 |
For a profit of 730 per contract
|
|
Japanese Yen March 07
Filled March 07 |
82.80 |
Sold
|
86.11 |
A rapid fire trade that generated lovely
profits in a relatively short period of time (march 07) |
|
Cocoa May 07
(filled Feb 07) |
1740 |
Sold
|
1910
|
1/3 position. We successfully rode this
market to the top via a series of contracts. Closed last
position in March 07. |
|
Copper May 07
(filled Feb 07) |
260 |
Sold
|
330-333 |
1/3 position. Second back to back winner
locked in gains of over 16,000 per contract. |
|
Canadian Dollar March 07
Filled in March 07
|
84.90 |
Sold
|
85.20-85.35 |
A quick profit of 300-450 in a matter of days
per contract. March 07 |
|
Wheat May 07
Filled in March 07
|
455 |
Sold
|
477-480 |
1/3 position. Sold in April 07.
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28 trades 3 of which were rolled over; rolled over
means one gets out of the contract from the current month to the next
month. We have 3 losers. The 3 contracts that we rolled were over
were Dow shorts; initially the acid here was quite high but when the
market dropped they dropped fast and we were able to recover all our
money and lock in some very decent gains. When we rolled over in the
Dow Short we took the average entry price of the 3 contracts instead of
listing them all as we actually rolled over at much higher prices but we
listed the original average entry price as our initial entry. In other
words when the new contracts were bought they were bought at
significantly higher levels but to illustrate our position (profit or
loss) we listed the original average entry price of all the 3 contracts.
Some traders who did not take part in the initial trade but only took
part in the second trade locked in rather huge gains.
However the 3 losers are not all loser simply because when we got into
the sugar contract we divided the money into 3 lots and bought 3
contracts. Two contracts lost money but the third made enough money to
cover the losses produced by the first two and also produce a profit. If
we look at it this way then we really have only one loser.
So we can examine the results from several angles.
We can list one of the Dow trades as a loss as we got into one of them
at 11820 while the other two produced a profit. Again as in the case
with sugar this does not fully make sense as the original sum of money
to be invested was divided into 3 lots; one lot lost money but the other
two lots made enough money to cover the loss and produce again.
If we count one of the Dow trades aS loss we have 4 losers out of 28
plays for an accuracy rate of 85.71%
If we look at the results in the light that sugar and the Dow were both
winners as the overall trades produced gains then we only have one loser
for a an accuracy rate of 96.4%.
We are not stating that we can always maintain such a high accuracy rate
and we would be very happy with an accuracy rate in the 75%-84%
ranges.
There are several reasons why the accuracy rate has gone up.
Finally after years of tweaking our tools we have finally adapted them
fully for the futures markets. Initially the tools were designed just
for equities and thus it took us time to re tabulate all these tools for
all the different futures markets.
Secondly we have started using Artificial intelligence in combination
with genetic algorithms; to make a long story short these algorithms are
adaptive rather then being static so they adapt to changing market
conditions. What the AI program helps us achieve is to help us to spot
new potential trends; in the past it would take several hours to
manually go through each market and hence we had to limit ourselves to a
few markets because of time restrictions. When we are fully done testing
our AI systems we will be implementing a significant price increase in
this service due to the amount of money we had to allocate to this
venture; those that join will at most only have to pay a very small
extra sum.
Now with this program we are able to examine almost any futures market
out there and if it appears on our AI screen then we go to the second
stage
This is the stage where in dept pattern analysis is performed. All our
tools esoteric cycles, phase analysis, multi time frame analysis,
standard deviation analysis, our custom TA tools and finally a mass
psychology analysis is performed. This analysis still takes hours but
now we can dedicate this time only to markets that have given an
initially buy or sell signal.
We must state that futures and small cap penny stocks are not for all
players; only individuals that understand the concept of no risk no
gain should consider this service. When you enter the futures arena
the risk factor goes up several notches and so does the volatility
factor. The volatility factor is a bigger issue as many players jump out
of what could have been a profitable play just because they were shaken
up by the big up and down moves.
Finally we have a new tool that tells us which markets are better to
invest in equities or futures. When the tool points to futures it means
that there are going to be a lot more trading opportunities in this
arena and that the volatility levels here will be somewhat lower then
the equities markets and vice versa. Thus if this tool states that
futures are a better play then we will issue more trades in the futures
markets and less stock plays and vice versa.

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