Tactical investor results from August 2006 To March 2007

Tactical investor results from August 2006 To March 2007

Tactical Investor Results

Tactical investor results from 2006 to 2007

If one is looking for total safety one should chain oneself to ones bed and never leave; one can only make money if one takes a risk. Sol Palha

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 to catch the entire move of the New leg up or down of any market that has 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.

Tactical investor results; The BreakDown

Twenty-eight 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 three losers.

The three contracts we rolled were over were Dow shorts; initially, the acid here was relatively high, but when the market dropped, they dropped fast, and we could 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 rolled over at much higher prices. Still, 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. To illustrate our position (profit or loss), we listed the original average entry price of all three contracts. Some traders who did not participate in the initial trade but only took part in the second trade locked in huge gains.

However, the three losers are not all losers simply because we divided the money into three lots and bought three contracts when we got into the sugar contract. Two contracts lost money, but the third made enough money to cover the losses the first two produced and 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 at 11820, while the other two produced a profit. Again, as with sugar, this does not make sense as the original sum of money to be invested was divided into three 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 a loss, we have four 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 an accuracy rate of 96.4%.

We are not stating that we can always maintain such a high accuracy rate, and we would be delighted with an accuracy rate in the 75%-84% range.

There are several reasons why the accuracy rate has gone up.

Finally, after years of tweaking our tools, we have adapted them fully for the futures markets. Initially, the tools were designed just for equities, and thus, it took us time to re-tabulate them 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 than static so they adapt to changing market conditions. What the AI program helps us achieve is to enable us to spot new potential trends; in the past, it would take several hours to go through each market manually, and hence we had to limit ourselves to a few markets because of time restrictions. When we are entirely 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 tiny extra sum.

Now with this program, we can 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, custom TA tools, and mass psychology analysis, are performed. This analysis still takes hours, but now we can dedicate this time only to markets that have given an initial buy or sell signal.

We must state that futures and small-cap penny stocks are not for all players; only individuals who understand the concept of no risk and 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 good play just because the big up-and-down moves shook them up.

Finally, a new tool tells us which markets are better to invest in equities or futures. When the tool points to futures, it means there will be many more trading opportunities in this arena and the volatility levels here will be somewhat lower than in the equities markets and vice versa.  Thus if this tool states that futures are a better play, we will issue more trades in the futures markets and fewer stock plays and vice versa.

 

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