X-Account-Key: account3
X-UIDL: 1205335273.000
X-Mozilla-Status: 0001
X-Mozilla-Status2: 10000000
X-Mozilla-Keys:                                                                                 
Received: from n11d.bullet.scd.yahoo.com by genie.lightpatch.com id aa13110;
          12 Mar 2008 7:19 PST
Comment: DomainKeys? See http://antispam.yahoo.com/domainkeys
DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=lima; d=yahoogroups.com;
	b=OEAfmfnKmjNl9OuPB2yur2TgqwnWC8/MatXTje/D5CYz9sr/RUgiLgUhyx2V41VbXaYoo13ihSvgK5IKksDXfsG6FhhhNdh1+lGq3z4aTow1FiiO6IHyZLWMqjkUBE53;
Received: from [209.73.164.86] by n22.bullet.scd.yahoo.com with NNFMP; 12 Mar 2008 15:18:02 -0000
Received: from [66.218.67.91] by t8.bullet.scd.yahoo.com with NNFMP; 12 Mar 2008 15:18:02 -0000
X-Yahoo-Newman-Id: 12111071-m78514
X-Sender: gmorlan@tampabay.rr.com
X-Apparently-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
X-Received: (qmail 76622 invoked from network); 12 Mar 2008 15:17:57 -0000
X-Received: from unknown (66.218.67.97)
  by m50.grp.scd.yahoo.com with QMQP; 12 Mar 2008 15:17:57 -0000
X-Received: from unknown (HELO hrndva-omtalb.mail.rr.com) (71.74.56.123)
  by mta18.grp.scd.yahoo.com with SMTP; 12 Mar 2008 15:17:56 -0000
X-Received: from lorenzy5yllpkh ([72.184.17.31]) by hrndva-omta02.mail.rr.com
          with SMTP
          id <20080312151745.JQJQ13220.hrndva-omta02.mail.rr.com@lorenzy5yllpkh>;
          Wed, 12 Mar 2008 15:17:45 +0000
Message-ID: <003a01c88454$3a2e20c0$6401a8c0@lorenzy5yllpkh>
To:  <Divergence@yahoogroups.com>
X-Priority: 3
X-MSMail-Priority: Normal
X-Mailer: Microsoft Outlook Express 6.00.2900.3138
X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3198
X-Originating-IP: 71.74.56.123
X-eGroups-Msg-Info: 1:5:0:0:0
From: Loren Morlan <gmorlan@tampabay.rr.com>
X-Yahoo-Profile: lorenmorlan
Sender: MetaTrader_Experts_and_Indicators@yahoogroups.com
MIME-Version: 1.0
Mailing-List: list MetaTrader_Experts_and_Indicators@yahoogroups.com; contact MetaTrader_Experts_and_Indicators-owner@yahoogroups.com
Delivered-To: mailing list MetaTrader_Experts_and_Indicators@yahoogroups.com
List-Id: <MetaTrader_Experts_and_Indicators.yahoogroups.com>
Precedence: bulk
List-Unsubscribe: <mailto:MetaTrader_Experts_and_Indicators-unsubscribe@yahoogroups.com>
Date: Wed, 12 Mar 2008 11:17:45 -0400
Subject: [MT_E and I] Emailing: September 2004 Trading Tips Newsletter.htm
X-Yahoo-Newman-Property: groups-email-ff-m
Reply-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Content-Type: multipart/related;
 boundary="----=_NextPart_000_0036_01C88432.B26BF570"
X-Antivirus: AVG for E-mail 7.5.518 [269.21.7/1325]

------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: multipart/alternative;
 boundary="----=_NextPart_001_0037_01C88432.B26BF570"

------=_NextPart_001_0037_01C88432.B26BF570
Content-Type: text/plain;
	charset="Windows-1252"
Content-Transfer-Encoding: quoted-printable

September 2004 Trading Tips Newsletter



=20=20=20=20=20
            September 2004
            Trading Tip:
            Heikin-Ashi Explained

            by Howard Arrington
            The February 2004 issue of 'Technical Analysis of Stocks and Co=
mmodities' magazine contains an article by Dan Valcu titled 'Using The Heik=
in-Ashi Technique'.  Too often traders hear about a technique and think the=
 'holy grail' train is leaving the station and they rush to get on board wi=
thout taking time to understand what it is all about.  The purpose of this =
article is to comment in greater detail on the visual presentation created =
by the mathematics of the method.

            Mr. Valcu says that 'heikin' in Japanese means 'average' and 'a=
shi' means 'bar'.  So a literal translation would be 'average bar'.   Indee=
d, the method employs an averaging technique as follows:=20

              a.. haClose =3D (Open + High + Low  + Close) / 4=20
              b.. haOpen =3D (haOpen(previous bar) + haClose(previous bar))=
/2=20
              c.. haHigh  =3D  Maximum(High, haOpen)=20
              d.. haLow  =3D  Minimum(Low, haOpen)=20
            Now for those who have pulled out the Valcu article and compare=
d his formulas with those given above, please do not be too quick to claim =
that I made a mistake in plagiarizing the formulas.  My formulas are equiva=
lent and it represents one of the criticisms I have.

            haHigh and haLow

            Mr. Valcu's formulas in the article were give as:

              a.. haHigh  =3D  Maximum(High, haOpen, haClose)=20
              b.. haLow  =3D  Minimum(Low, haOpen, haClose)=20
            It is mathematically impossible for the haClose to be higher th=
an the bar High, or lower than the bar Low.   haClose is an average of the =
bar's open, high, low and close.   The open must be in the high-low range. =
 The close must be in the high-low range.   The low must be equal to or low=
er than the high.  Therefore, the haClose can never be higher than the High=
, nor lower than the Low.

            Because the haClose can never be higher than the High, the Heik=
in-Ashi High does not need to test for the haClose as a possible price that=
 would set haHigh.   Choosing the higher of High and haOpen is sufficient. =
  The same reasoning applies to picking a price for the Heikin-Ashi Low.   =
Choosing the lower of Low and haOpen is sufficient.  haLow does not need to=
 consider haClose because haClose will never be lower than the Low.

            I consider it unfortunate that Mr. Valcu did not understand the=
se principles before he published his article.  And, every programmer who p=
ublished script code to implement Heikin-Ashi in their charting package use=
d the Valcu formulas with scripts similar to this example:

              a.. haHigh =3D MaxList( H, haOpen, haClose);=20
              b.. haLow =3D MinList( L, haOpen, haClose);=20
            Not one of the twelve programmers who published scripts in Stoc=
ks and Commodities magazine pointed out that testing for haClose is unneces=
sary because it is an impossibility.    It does not hurt to test for it, bu=
t it is an unnecessary step.  Missing something obvious like this makes me =
wonder just how much serious thinking is being made to understand what this=
 technique is all about.   Now, let's leave that issue and continue with th=
e analysis.

            haClose

            The Heikin-Ashi Close is the average of four bar prices:  open,=
 high, low and close.   This creates an interesting effect in strongly tren=
ding markets which I feel is misleading for chart readers.  Let me illustra=
te the effect with the following example.



            The example shows the original bar data in the top half of the =
chart, and the Heikin-Ashi method in the bottom half.  Ensign Windows was u=
sed to prepare the examples.  Bars 1 through 4 are strongly trending up, an=
d bars 5 through 8 are strongly trending down.  Now permit me to point out =
several things by comparing the two images.

            The Heikin-Ashi data points are also shown on the original char=
t using small red dots, connected by solid red lines through the highs and =
lows, and a dotted red line through the closes.   These dots and lines will=
 aid in the comparison of what Heikin-Ashi is doing to 'average' the origin=
al bar data.

            In an Up candle the haClose will always be below the actual clo=
se, and in a Down candle, the haClose will always be above the actual close=
  These two principles are illustrated by comparing the position of the cl=
ose red dots to the bar closes in the Original chart image.  In fact, haUp =
candles will ALWAYS have a high wick, and haDown candles will ALWAYS have a=
 low wick.  This is a built in behavior that may surprise most Heikin-Ashi =
candle readers.  It is one of the primary areas I feel is misleading.

            Note:  haUp candles may or may not have a low wick.  haDown can=
dles may or may not have a high wick.

=20=20=20=20=20=20=20=20=20=20=20=20=20

            A wick on the top of a regular Up candle implies that selling p=
ressure has moved the market back down from the high.  Thus, I consider it =
misleading to see a high wick on a Heikin-Ashi up candle when no selling pr=
essure is present.   The inverse applies to low wicks.   A wick on the bott=
om of a regular Down candle implies that buying pressure has moved the mark=
et off of the low.  Again, it is misleading using conventional interpretati=
on for low wicks to be present on a Heikin-Ashi down candle when no buying =
pressure is present.

            Mathematically the haClose can never exceed 75% of the original=
 bar's range.  75% would be achieved when the Open and the Close occur at t=
he extreme of the bar's High.   In that case, haClose =3D (H+H+H+L)/4.    S=
imple example:  O=3D4, H=3D4, C=3D4, L=3D0,  so haClose =3D 12 / 4 =3D 3   =
 So the maximum haClose value is 3/4th of the range because the range was 4=
   Thus the high wick size in an Up candle will be 25% of the original bar=
 range or greater.   The low wick size in a Down candle will be 25% of the =
original bar range or more.

            In the Chartpoint Magazine, No. 12 (2003), Yashuji Yamanaka giv=
es five rules for trading the Heikin-Ashi charts.  His Rule 2 reads, 'Posit=
ive candle with upper shadow means "strong BUY"', and 'Negative candle with=
 lower shadow means "strong SELL"'.  I have proved out that every haUp cand=
le must have a high wick, and every haDown candle must have a low wick.  Th=
erefore, Rule 2 would have EVERY Heikin-Ashi candle be either a 'strong BUY=
' or a 'strong SELL'.  This obviously is not the case, so I must conclude t=
hat Yamanaka's Rule 2 is an illogical statement.

            haOpen

            The haOpen formula can be stated more simply as the midpoint of=
 the prior Heikin-Ashi bar's candle body.  See the graphical illustration o=
f this where the cyan lines from the prior bar's candle body range point to=
 the candle body midpoint.  This midpoint is used as the open of the follow=
ing Heikin-Ashi bar.



            The haOpen can be outside of the original bar's range.  Therefo=
re, the range of the Heikin-Ashi bar is extended to include the haOpen pric=
e.  This extension is done by choosing the higher of High and haOpen for th=
e haHigh, and the lower of Low and haOpen for the haLow.  Mr. Valcu describ=
es this process as eliminating 'irregularities from a normal chart', and cr=
eating a 'better picture of trends'.  My opinion is that this process is cr=
eating misleading perceptions.  Let's look again at the example.



            One misperception in the Heikin-Ashi chart is the absence of ga=
ps.   There are 6 gaps in the original chart and they have all been 'averag=
ed' out of the picture.  If gaps mean something to you either as an indicat=
ion of momentum or a price level that will eventually be filled, you will h=
ave to do without that insight when you use Heikin-Ashi charts.

            Another misperception in the Heikin-Ashi chart is the length of=
 the bars.  In our example many of the HA bars are twice as tall as the ori=
ginal bars.  HA bars will always overlap a portion of the bar on its left-h=
and side.  In the up trending portion of the example, the HA Lows are all l=
ower then the original lows, giving the impression the market traded at pri=
ces during that time period when no such trading occurred.   As an example,=
 consider bar #3.  The original bar price range is from 700 to 740.   The H=
eikin-Ashi bar implied that during the #3 time period, the trading was from=
 640 to 740.  That is misleading.  The visual presentation does not make an=
y differentiation between the portion of the range that is actual and the p=
ortion that is invented.

            Another misperception is the combination of bar #4 and bar #5. =
 On the original chart, these two bars make a formation known as a Key Reve=
rsal Pair.  That significant information is totally lost in the Heikin-Ashi=
 chart.  In fact, bar #5 on the HA chart is shown as an Up candle which is =
100% opposite what actually happened.  That too is misleading in my opinion=

            Summary

            I guess by now you have concluded I am not overly impressed wit=
h the Heikin-Ashi method.  It may be serving a beneficial purpose for many =
of you, and if so, that is wonderful.  I encourage you to continue using wh=
at works for you.  Heikin-Ashi charts are included in Ensign Windows becaus=
e users asked for it.  But, I do not know if it is going to help anyone tra=
de more profitably.  Seasoned trader Ira Tunik recently stated,  'There are=
 those that are constantly looking for the Holy Grail and [think] every new=
 or revived study or tool is necessary.  Over the years I have found that t=
he majority of the exotic, complicated and supposedly new studies don't hel=
p anyone's trading ability or profitability.'

            Whatever the case may be, at least by reading and understanding=
 the points made in this article you will be using the Heikin-Ashi method b=
etter informed about how it is creating 'average bars'.=20


--------------------------------------------------------------------
            Trading Tip:
            Aroon Indicator
            by Jay West
            Recently a new indicator was added to Ensign Window=92s study l=
ist.  It is called the Aroon indicator.  The indicator is supposed to allow=
 you to anticipate changes in price from trending to trading range.  At fir=
st glace the indictor looks very complicated and seems to make no sense.  W=
ith a little time, education, and experience I have found it to be most enl=
ightening.=20

            The description of how the indicator works is fascinating stuff=
  It 'measures the number of periods that have passed since the most recen=
t x-period high and x-period low.  Therefore, the Aroon indicator consists =
of two plots; one measuring the number of periods since the most recent x-p=
eriod high (Aroon Up) and the other measuring the number of periods since t=
he most recent x-period low (Aroon Down).'  Now I am almost sure that most =
of the people reading this article are just eagerly awaiting a further disc=
ussion of how the indicator is plotted in a Stochastic like scale etc, etc,=
 etc.  Yeah sure.  Just in case you are really interested, a more complete =
discussion of the indicator can be found on the Internet using a Google sea=
rch.=20

            We are traders, and as such it is extremely important to know h=
ow to use indicators to our advantage.  I have never felt the need to be th=
oroughly educated on how the thing works.  Just give it to me and let me pl=
ay with it long enough and I will either make it work or throw it away beca=
use it is impossible to figure out.  Right?  Ok, I have been playing with t=
he Aroon for a few days and I think I have figured out a way to use it whic=
h I will share with you.=20

            As you can see below the Aroon consists of two lines.  One red =
(the Up line), and one blue (the Down line).  In the system description the=
re is a discussion about  three thresholds.  Those being the 70, 50, and 30=
 thresholds.  I have discovered that if I pay attention primarily to the re=
d line=92s relationship to these thresholds I can determine what the market=
 is telling me about trend.  It also begins to become clear that I can use =
this indicator to trade.  In fact I can almost make a complete system out o=
f the indicator.=20=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

            Rule #1:   If the red up line goes to the top of the range (Win=
dow) there is a possibility of an up trend beginning.  If the red up line s=
tays generally between the top of the window (100) and the 70 threshold mar=
ked by the orange line on the example chart, the up trend is in motion.  Th=
e closer it remains to the top the stronger the trend.=20

            Rule #2:   If the red up line retraces to and breaks through th=
e 50% line (red dashed line) the trend is in serious trouble.  If it reache=
s the bottom of the scale/window, the trend is usually dead and a down tren=
d may be beginning.=20

            Rule #3:   If the red and blue lines separate and remain separa=
ted the trend is strong and I aggressively add contracts on price pull back=
s.=20

            So, in summary, what we have is a strong trend if the red line =
goes to the top and stays there, a failing trend if it pulls back to the 50=
% threshold and a possible reversal into a down trend if it falls below the=
 30% threshold.  The reverse is true for a down trend.  If the red line bre=
aks up through the 50% line the down trend is weakening, etc.=20

            So how do we trade this thing?  I have discovered that if I mer=
ely watch the relationship between the red and blue lines I can use their c=
rossovers for entry and exit signals.  Look at the chart below which I have=
 marked up with arrows for the entries to trades.  This is real data for Se=
p 16th and the trades worked as advertised.  The day produced overt 10 poin=
ts in the AB.  You can see that the red line races to the top immediately a=
fter the opening, crossing the blue line in the process.  That crossing of =
the blue line is a long entry.  Then the red line stays generally above the=
 70% threshold and the price continues to rise.   Note how the red and blue=
 lines are separated through most of the up move.  That indicates a strong =
trend in progress and I would buy more contracts as the price pulls back an=
d hooks.=20=20=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

            When the red line breaks the 50% line you can remove at least o=
ne contract if you are trading multiple contracts and if you are trading a =
single contract, go flat with the crossing of the 50% line.  In the example=
 chart, you=92ll notice that the red line again crosses the blue line on it=
s way to the bottom of the window.  You can sell that crossing and go short=
  As long as the red line stays below the 50% line you can stay in the sho=
rt trade.=20

            That=92s it in a nut shell for the Aroon indicator.  I do a cou=
ple of other things to help with entries and trade management.  Look at the=
 chart below and you can see I have placed the new auto trend lines, recent=
ly added to the Ensign program, on the chart example.  I think you can see =
that it is very beneficial to have these on the chart.  I trade multiple co=
ntracts and I use the Trend lines to 'take one off' when the price closes o=
n the other side of a trend line and I reverse the trade when the Aroon red=
 line crosses the blue line, which when it happens correctly, occurs quickl=
y after the trend line break by the price.  Obviously you can reverse the t=
rade if you wish on the trend line break, but I have seen those trend lines=
 do a nasty little adjustment thing on occasion and that=92s not fun to get=
 caught in one of those, so I generally wait for the Aroon to confirm the T=
rend line break and reversal.  It is considered aggressive style to reverse=
 the trend line breaks and you may get whipsawed more often doing that than=
 waiting for the Aroon.=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

            I have included some properties windows for the Aroon. The basi=
c settings are shown there.  As you can see there is a capability to put an=
 =93above and below=94 setting on the red line thus making it turn green wh=
en it is above the blue line and red when below it.  That is the second Pro=
perties Window shown below.  That makes it easier to manage your trade.  Si=
mply try to be long when it is green and short when it is red.=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

            There will be times when you should stay out of the market.  Th=
ose times are when it is chopping.  Look for the price bars to go horizonta=
l and the lines to cycle rapidly with the red and blue lines crossing frequ=
ently. You must avoid this type market with the Aroon system.  The Aroon be=
comes a virtual whipsaw machine in those circumstances.  There are many met=
hods to identify chop.  The action of  the 'Average Bars' is a good way to =
spot and avoid chop.=20

=20=20=20=20=20=20=20=20=20=20=20=20=20

            When the market is moving normally this system will catch all t=
he winners and cut losers fairly quickly due to the action of the Aroon and=
 the price action around the trend lines.  I use a 0.75 range chart to trad=
e with this indicator.  I=92m sure other time frames will work with the Aro=
on but the settings should be tailored to the time frame.  Give it a try an=
d see if you like it.  A template named the AroonSystem can be downloaded f=
rom the Ensign web site.=20=20=20

            I hope this clears up some of the confusion that many seem to h=
ave concerning this great indicator.  Good trading to all.=20


--------------------------------------------------------------------
            Education:
            Stock Option Model - September
            by Howard Arrington
            This is the September update of the paper trading model based o=
n Bill Hatch's July article  Straddle-Strangle-Swap.  Last month I defined =
the scope of this project, and promised to publish an update each month for=
 the rest of 2004.

            The model is selling near term options in Dell Computers (DELL)=
, Home Depot (HD), Office Depot (OPD),  and Disney (DIS), and holding longe=
r term options as an insurance policy.   The plan is to execute a calendar =
roll-out each month by buying back the short options on the day before expi=
ration, and selling short options one month out.   The roll-out of replacin=
g the September options with October options was carried out on Thursday, S=
eptember 16th, 2004.  The October roll-out will be carried out on Thursday,=
 October 14th.  This is where the model stands.



            A desirable characteristic is for the stocks to be tracking sid=
eways.  This was the case in the past month for Dell, Disney, and Office De=
pot.  The stock that trended was Home Depot, possibly benefiting from incre=
ased demand for building materials because of the three hurricanes.



            The short HDIG Call at $35 is the trade that was a costly $2000=
  The model will resell the same strike in the October month with the expe=
ctation that Home Depot prices will return to a more average price.

            Summary:=20

                  a.. Dell:    - 125 - 375 + 175 + 775 =3D     $450 net gai=
n=20

                  b.. HD:     + 975 - 375 - 2025 + 225 =3D -$1200 net loss=
=20

                  c.. ODP:  - 525 - 75 + 1175 - 175 =3D      $400 net gain=
=20

                  d.. DIS:    - 25 - 325 - 25 + 525 =3D          $150 net g=
ain=20
=20=20=20=20=20=20=20=20=20=20=20

--------------------------------------------------------------------------
=20=20=20=20=20
      Copyright =A9 2008 by Ensign Software, Inc.=20
=20=20=20=20=20

------=_NextPart_001_0037_01C88432.B26BF570
Content-Type: text/html; charset=Windows-1252
Content-Transfer-Encoding: quoted-printable


<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/htm=
l4/strict.dtd">
<html>
<head>
</head>




<body style=3D"background-color: #ffffff;">

<!--~-|**|PrettyHtmlStartT|**|-~-->
<div id=3D"ygrp-mlmsg" style=3D"width:655px; position:relative;">
  <div id=3D"ygrp-msg" style=3D"width: 490px; padding: 0 15px 0 0; float:le=
ft;  z-index:1;">
<!--~-|**|PrettyHtmlEndT|**|-~-->

    <div id=3D"ygrp-text">
            <p><!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN=
">


<DIV>&nbsp;</DIV><!--msnavigation-->
<TABLE cellSpacing=3D"0" cellPadding=3D"0" width=3D"100%" border=3D"0">
  <TBODY>
  <TR>
    <TD>
      <P align=3D"center"><STRONG><FONT size=3D"6"><A href=3D"http://ensign=
editme.com/Home"><IMG height=3D"60" src=3D"../images/ensignheader.gif" wid=
th=3D"600" border=3D"0"></A><BR><A href=3D"http://ensign.editme.com/Home"><=
IMG height=3D"22" src=3D"../images/b-home.gif" width=3D"100" border=3D"0"><=
/A><A href=3D"http://ensign.editme.com/screens"><IMG height=3D"22" src=3D".=
/images/b-charts.gif" width=3D"100" border=3D"0"></A><A href=3D"http://ens=
ign.editme.com/help"><IMG height=3D"22" src=3D"../images/b-help.gif" width=
=3D"100" border=3D"0"></A><A href=3D"http://ensign.editme.com/download"><IM=
G height=3D"22" src=3D"../images/b-download.gif" width=3D"101" border=3D"0"=
></A><A href=3D"http://ensign.editme.com/order"><IMG height=3D"22" src=3D".=
/images/b-order.gif" width=3D"101" border=3D"0"></A><A href=3D"http://ensi=
gn.editme.com/support"><IMG height=3D"22" src=3D"../images/b-contactus.gif"=
 width=3D"98" border=3D"0"></A><BR><A href=3D"http://ensign.editme.com/prod=
ucts"><IMG height=3D"22" src=3D"../images/b-features.gif" width=3D"100" bor=
der=3D"0"></A><A href=3D"http://ensign.editme.com/templates"><IMG height=3D=
"22" src=3D"../images/b-templates.gif" width=3D"100" border=3D"0"></A><A hr=
ef=3D"http://ensign.editme.com/videos"><IMG height=3D"22" src=3D"../images/=
b-videos.gif" width=3D"100" border=3D"0"></A></FONT></STRONG><A href=3D"htt=
p://ensign.editme.com/newsletter"><IMG height=3D"22" src=3D"../images/b-new=
sletter.gif" width=3D"101" border=3D"0"></A><STRONG><FONT size=3D"6"><A hre=
f=3D"http://ensign.editme.com/espl"><IMG height=3D"22" src=3D"../images/b-e=
spl.gif" width=3D"101" border=3D"0"></A><A href=3D"http://ensign.editme.com=
/chat"><IMG height=3D"22" src=3D"../images/b-chat.gif" width=3D"98" border=
=3D"0"></A></FONT></STRONG></P></TD></TR><!--msnavigation--></TBODY></TABLE=
><!--msnavigation-->
<TABLE dir=3D"ltr" cellSpacing=3D"0" cellPadding=3D"0" width=3D"100%" borde=
r=3D"0">
  <TBODY>
  <TR><!--msnavigation-->
    <TD vAlign=3D"top">
      <DIV align=3D"center">
      <TABLE width=3D"630" border=3D"0">
        <TBODY>
        <TR>
          <TD width=3D"100%">
            <H1 align=3D"center">September 2004</H1><B>Trading Tip:
            <CENTER>Heikin-Ashi Explained</CENTER></B>
            <CENTER><FONT size=3D"1"><BR>by Howard Arrington</FONT></CENTER=
>
            <P>The February 2004 issue of 'Technical Analysis of Stocks and=
=20
            Commodities' magazine contains an article by Dan Valcu titled '=
Using=20
            The Heikin-Ashi Technique'.&nbsp; Too often traders hear about =
a=20
            technique and think the 'holy grail' train is leaving the stati=
on=20
            and they rush to get on board without taking time to understand=
 what=20
            it is all about.&nbsp; The purpose of this article is to commen=
t in=20
            greater detail on the visual presentation created by the mathem=
atics=20
            of the method.
            <P>Mr. Valcu says that 'heikin' in Japanese means 'average' and=
=20
            'ashi' means 'bar'.&nbsp; So a literal translation would be 'av=
erage=20
            bar'.&nbsp;&nbsp; Indeed, the method employs an averaging techn=
ique=20
            as follows:=20
            <UL>
              <LI>haClose =3D (Open + High + Low&nbsp; + Close) / 4=20
              <LI>haOpen =3D (haOpen(previous bar) + haClose(previous bar))=
/2=20
              <LI>haHigh&nbsp; =3D&nbsp; Maximum(High, haOpen)=20
              <LI>haLow&nbsp; =3D&nbsp; Minimum(Low, haOpen) </LI></UL>
            <P>Now for those who have pulled out the Valcu article and comp=
ared=20
            his formulas with those given above, please do not be too quick=
 to=20
            claim that I made a mistake in plagiarizing the formulas.&nbsp;=
 My=20
            formulas are equivalent and it represents one of the criticisms=
 I=20
            have.</P>
            <P><B>haHigh and haLow</B></P>
            <P>Mr. Valcu's formulas in the article were give as:</P>
            <UL>
              <LI>haHigh&nbsp; =3D&nbsp; Maximum(High, haOpen, haClose)=20
              <LI>haLow&nbsp; =3D&nbsp; Minimum(Low, haOpen, haClose) </LI>=
</UL>
            <P>It is mathematically <I>impossible</I> for the haClose to be=
=20
            higher than the bar High, or lower than the bar Low.&nbsp;&nbsp=
;=20
            haClose is an average of the bar's open, high, low and=20
            close.&nbsp;&nbsp; The open must be in the high-low range.&nbsp=
; The=20
            close must be in the high-low range.&nbsp;&nbsp; The low must b=
e=20
            equal to or lower than the high.&nbsp; Therefore, the haClose c=
an=20
            never be higher than the High, nor lower than the Low.</P>
            <P>Because the haClose can never be higher than the High, the=20
            Heikin-Ashi High does not need to test for the haClose as a pos=
sible=20
            price that would set haHigh.&nbsp;&nbsp; Choosing the higher of=
 High=20
            and haOpen is sufficient.&nbsp;&nbsp; The same reasoning applie=
s to=20
            picking a price for the Heikin-Ashi Low.&nbsp;&nbsp; Choosing t=
he=20
            lower of Low and haOpen is sufficient.&nbsp; haLow does not nee=
d to=20
            consider haClose because haClose will never be lower than the=20
            Low.</P>
            <P>I consider it unfortunate that Mr. Valcu did not understand =
these=20
            principles before he published his article.&nbsp; And, every=20
            programmer who published script code to implement Heikin-Ashi i=
n=20
            their charting package used the Valcu formulas with scripts sim=
ilar=20
            to this example:</P>
            <UL>
              <LI>haHigh =3D MaxList( H, haOpen, haClose);=20
              <LI>haLow =3D MinList( L, haOpen, haClose); </LI></UL>
            <P>Not one of the twelve programmers who published scripts in S=
tocks=20
            and Commodities magazine pointed out that testing for haClose i=
s=20
            unnecessary because it is an impossibility.&nbsp;&nbsp;&nbsp; I=
t=20
            does not hurt to test for it, but it is an unnecessary step.&nb=
sp;=20
            Missing something obvious like this makes me wonder just how mu=
ch=20
            serious thinking is being made to understand what this techniqu=
e is=20
            all about.&nbsp;&nbsp; Now, let's leave that issue and continue=
 with=20
            the analysis.</P>
            <P><B>haClose</B></P>
            <P>The Heikin-Ashi Close is the average of four bar prices:&nbs=
p;=20
            open, high, low and close.&nbsp;&nbsp; This creates an interest=
ing=20
            effect in strongly trending markets which I feel is misleading =
for=20
            chart readers.&nbsp; Let me illustrate the effect with the foll=
owing=20
            example.</P>
            <P align=3D"center"><IMG height=3D"437" src=3D"../images/57-1.g=
if" width=3D"380" border=3D"0"></P>
            <P align=3D"left">The example shows the original bar data in th=
e top=20
            half of the chart, and the Heikin-Ashi method in the bottom=20
            half.&nbsp; Ensign Windows was used to prepare the examples.&nb=
sp;=20
            Bars 1 through 4 are strongly trending up, and bars 5 through 8=
 are=20
            strongly trending down.&nbsp; Now permit me to point out severa=
l=20
            things by comparing the two images.</P>
            <P align=3D"left">The Heikin-Ashi data points are also shown on=
 the=20
            original chart using small red dots, connected by solid red lin=
es=20
            through the highs and lows, and a dotted red line through the=20
            closes.&nbsp;&nbsp; These dots and lines will aid in the compar=
ison=20
            of what Heikin-Ashi is doing to 'average' the original bar data=
</P>
            <P align=3D"left">In an Up candle the haClose will always be be=
low the=20
            actual close, and in a Down candle, the haClose will always be =
above=20
            the actual close.&nbsp; These two principles are illustrated by=
=20
            comparing the position of the close red dots to the bar closes =
in=20
            the Original chart image.&nbsp; In fact, haUp candles will ALWA=
YS=20
            have a high wick, and haDown candles will ALWAYS have a low=20
            wick.&nbsp; This is a built in behavior that may surprise most=
=20
            Heikin-Ashi candle readers.&nbsp; It is one of the primary area=
s I=20
            feel is misleading.</P>
            <P align=3D"left">Note:&nbsp; haUp candles may or may not have =
a low=20
            wick.&nbsp; haDown candles may or may not have a high wick.</P>
            <P align=3D"center"><IMG height=3D"437" src=3D"../images/57-2.g=
if" width=3D"380" border=3D"0">&nbsp;</P>
            <P>A wick on the top of a regular Up candle implies that sellin=
g=20
            pressure has moved the market back down from the high.&nbsp; Th=
us, I=20
            consider it misleading to see a high wick on a Heikin-Ashi up c=
andle=20
            when no selling pressure is present.&nbsp;&nbsp; The inverse ap=
plies=20
            to low wicks.&nbsp;&nbsp; A wick on the bottom of a regular Dow=
n=20
            candle implies that buying pressure has moved the market off of=
 the=20
            low.&nbsp; Again, it is misleading using conventional interpret=
ation=20
            for low wicks to be present on a Heikin-Ashi down candle when n=
o=20
            buying pressure is present.</P>
            <P>Mathematically the haClose can never exceed 75% of the origi=
nal=20
            bar's range.&nbsp; 75% would be achieved when the Open and the =
Close=20
            occur at the extreme of the bar's High.&nbsp;&nbsp; In that cas=
e,=20
            haClose =3D (H&#43;H&#43;H&#43;L)/4.&nbsp;&nbsp;&nbsp; Simple e=
xample:&nbsp; O=3D4,=20
            H=3D4, C=3D4, L=3D0,&nbsp; so haClose =3D 12 / 4 =3D 3&nbsp;&nb=
sp;&nbsp; So=20
            the maximum haClose value is 3/4th of the range because the ran=
ge=20
            was 4.&nbsp;&nbsp; Thus the high wick size in an Up candle will=
 be=20
            25% of the original bar range or greater.&nbsp;&nbsp; The low w=
ick=20
            size in a Down candle will be 25% of the original bar range or=
=20
            more.</P>
            <P>In the Chartpoint Magazine, No. 12 (2003), Yashuji Yamanaka =
gives=20
            five rules for trading the Heikin-Ashi charts.&nbsp; His Rule 2=
=20
            reads, 'Positive candle with upper shadow means "strong BUY"', =
and=20
            'Negative candle with lower shadow means "strong SELL"'.&nbsp; =
I=20
            have proved out that every haUp candle must have a high wick, a=
nd=20
            every haDown candle must have a low wick.&nbsp; Therefore, Rule=
 2=20
            would have EVERY Heikin-Ashi candle be either a 'strong BUY' or=
 a=20
            'strong SELL'.&nbsp; This obviously is not the case, so I must=
=20
            conclude that Yamanaka's Rule 2 is an illogical statement.</P>
            <P><B>haOpen</B></P>
            <P>The haOpen formula can be stated more simply as the midpoint=
 of=20
            the prior Heikin-Ashi bar's candle body.&nbsp; See the graphica=
l=20
            illustration of this where the cyan lines from the prior bar's=
=20
            candle body range point to the candle body midpoint.&nbsp; This=
=20
            midpoint is used as the open of the following Heikin-Ashi bar.<=
/P>
            <P align=3D"center"><IMG height=3D"205" src=3D"../images/57-3.g=
if" width=3D"379" border=3D"0"></P>
            <P align=3D"left">The haOpen can be outside of the original bar=
's=20
            range.&nbsp; Therefore, the range of the Heikin-Ashi bar is ext=
ended=20
            to include the haOpen price.&nbsp; This extension is done by=20
            choosing the higher of High and haOpen for the haHigh, and the =
lower=20
            of Low and haOpen for the haLow.&nbsp; Mr. Valcu describes this=
=20
            process as eliminating 'irregularities from a normal chart', an=
d=20
            creating a 'better picture of trends'.&nbsp; My opinion is that=
 this=20
            process is creating misleading perceptions.&nbsp; Let's look ag=
ain=20
            at the example.</P>
            <P align=3D"center"><IMG height=3D"437" src=3D"../images/57-2.g=
if" width=3D"380" border=3D"0"></P>
            <P align=3D"left">One misperception in the Heikin-Ashi chart is=
 the=20
            absence of gaps.&nbsp;&nbsp; There are 6 gaps in the original c=
hart=20
            and they have all been 'averaged' out of the picture.&nbsp; If =
gaps=20
            mean something to you either as an indication of momentum or a =
price=20
            level that will eventually be filled, you will have to do witho=
ut=20
            that insight when you use Heikin-Ashi charts.</P>
            <P align=3D"left">Another misperception in the Heikin-Ashi char=
t is the=20
            length of the bars.&nbsp; In our example many of the HA bars ar=
e=20
            twice as tall as the original bars.&nbsp; HA bars will always=20
            overlap a portion of the bar on its left-hand side.&nbsp; In th=
e up=20
            trending portion of the example, the HA Lows are all lower then=
 the=20
            original lows, giving the impression the market traded at price=
s=20
            during that time period when no such trading occurred.&nbsp;&nb=
sp;=20
            As an example, consider bar #3.&nbsp; The original bar price ra=
nge=20
            is from 700 to 740.&nbsp;&nbsp; The Heikin-Ashi bar implied tha=
t=20
            during the #3 time period, the trading was from 640 to 740.&nbs=
p;=20
            That is misleading.&nbsp; The visual presentation does not make=
 any=20
            differentiation between the portion of the range that is actual=
 and=20
            the portion that is invented.</P>
            <P align=3D"left">Another misperception is the combination of b=
ar #4 and=20
            bar #5.&nbsp; On the original chart, these two bars make a form=
ation=20
            known as a Key Reversal Pair.&nbsp; That significant informatio=
n is=20
            totally lost in the Heikin-Ashi chart.&nbsp; In fact, bar #5 on=
 the=20
            HA chart is shown as an Up candle which is 100% opposite what=20
            actually happened.&nbsp; That too is misleading in my opinion.<=
/P>
            <P align=3D"left"><B>Summary</B></P>
            <P align=3D"left">I guess by now you have concluded I am not ov=
erly=20
            impressed with the Heikin-Ashi method.&nbsp; It may be serving =
a=20
            beneficial purpose for many of you, and if so, that is=20
            wonderful.&nbsp; I encourage you to continue using what works f=
or=20
            you.&nbsp; Heikin-Ashi charts are included in Ensign Windows be=
cause=20
            users asked for it.&nbsp; But, I do not know if it is going to =
help=20
            anyone trade more profitably.&nbsp; Seasoned trader Ira Tunik=20
            recently stated,&nbsp; 'There are those that are constantly loo=
king=20
            for the Holy Grail and [think] every new or revived study or to=
ol is=20
            necessary.&nbsp; Over the years I have found that the majority =
of=20
            the exotic, complicated and supposedly new studies don't help=20
            anyone's trading ability or profitability.<wbr>'</P>
            <P align=3D"left">Whatever the case may be, at least by reading=
 and=20
            understanding the points made in this article you will be using=
 the=20
            Heikin-Ashi method better informed about how it is creating 'av=
erage=20
            bars'.=20
            <HR>
            <B>Trading Tip:
            <CENTER><A name=3D"Aroon">Aroon</A> Indicator</B><BR><FONT size=
=3D"1">by Jay=20
            West</FONT></CENTER>
            <P>Recently a new indicator was added to Ensign Window=92s stud=
y=20
            list.&nbsp; It is called the Aroon indicator.&nbsp; The indicat=
or is=20
            supposed to allow you to anticipate changes in price from trend=
ing=20
            to trading range.&nbsp; At first glace the indictor looks very=
=20
            complicated and seems to make no sense.&nbsp; With a little tim=
e,=20
            education, and experience I have found it to be most enlighteni=
ng.=20
            <O></O></P>
            <P>The description of how the indicator works is fascinating=20
            stuff.&nbsp; It 'measures the number of periods that have passe=
d=20
            since the most recent x-period high and x-period low.&nbsp;=20
            Therefore, the Aroon indicator consists of two plots; one measu=
ring=20
            the number of periods since the most recent x-period high (Aroo=
n Up)=20
            and the other measuring the number of periods since the most re=
cent=20
            x-period low (Aroon Down).'&nbsp; Now I am almost sure that mos=
t of=20
            the people reading this article are just eagerly awaiting a fur=
ther=20
            discussion of how the indicator is plotted in a Stochastic like=
=20
            scale etc, etc, etc.&nbsp; Yeah sure.&nbsp; Just in case you ar=
e=20
            really interested, a more complete discussion of the indicator =
can=20
            be found on the Internet using a Google search.<O> </O></P>
            <P>We are traders, and as such it is extremely important to kno=
w how=20
            to use indicators to our advantage.&nbsp; I have never felt the=
 need=20
            to be thoroughly educated on how the thing works.&nbsp; Just gi=
ve it=20
            to me and let me play with it long enough and I will either mak=
e it=20
            work or throw it away because it is impossible to figure out.<S=
PAN>&nbsp; </SPAN>Right?&nbsp; Ok, I have been=20
            playing with the Aroon for a few days and I think I have figure=
d out=20
            a way to use it which I will share with you. <O></O></P>
            <P>As you can see below the Aroon consists of two lines.&nbsp; =
One=20
            red (the Up line), and one blue (the Down line).&nbsp; In the s=
ystem=20
            description there is a discussion about<SPAN>&nbsp; </SPAN>thre=
e thresholds.&nbsp;=20
            Those being the 70, 50, and 30 thresholds.<SPAN>&nbsp; </SPAN>I=
 have discovered that if I=20
            pay attention primarily to the red line=92s relationship to the=
se=20
            thresholds I can determine what the market is telling me about=
=20
            trend.&nbsp; It also begins to become clear that I can use this=
=20
            indicator to trade.&nbsp; In fact I can almost make a complete=
=20
            system out of the indicator.<SPAN>&nbsp;=20
            </SPAN><O></O></P>
            <P align=3D"center"><B><SPAN><IMG height=3D"477" src=3D"../imag=
es/57-7.gif" width=3D"637" border=3D"0"></O> </SPAN></B></P>
            <P><B>Rule #1: &nbsp;</B> If the red up line goes to the top of=
 the=20
            range (Window) there is a possibility of an up trend beginning.=
<SPAN>&nbsp; </SPAN>If the red up line stays=20
            generally between the top of the window (100) and the 70 thresh=
old=20
            marked by the orange line on the example chart, the up trend is=
 in=20
            motion.&nbsp; The closer it remains to the top the stronger the=
=20
            trend. <O></O></P>
            <P><B>Rule #2: &nbsp;</B> If the red up line retraces to and br=
eaks=20
            through the 50% line (red dashed line) the trend is in serious=
=20
            trouble.&nbsp; If it reaches the bottom of the scale/window, th=
e=20
            trend is usually dead and a down trend may be beginning.=20
            <O></O></P>
            <P><B>Rule #3:&nbsp;&nbsp;</B> If the red and blue lines separa=
te=20
            and remain separated the trend is strong and I aggressively add=
=20
            contracts on price pull backs. <O></O></P>
            <P>So, in summary, what we have is a strong trend if the red li=
ne=20
            goes to the top and stays there, a failing trend if it pulls ba=
ck to=20
            the 50% threshold and a possible reversal into a down trend if =
it=20
            falls below the 30% threshold.&nbsp; The reverse is true for a =
down=20
            trend.&nbsp; If the red line breaks up through the 50% line the=
 down=20
            trend is weakening, etc. <O></O></P>
            <P>So how do we trade this thing?<SPAN>&nbsp; </SPAN>I have dis=
covered that if I=20
            merely watch the relationship between the red and blue lines I =
can=20
            use their crossovers for entry and exit signals.&nbsp; Look at =
the=20
            chart below which I have marked up with arrows for the entries =
to=20
            trades.&nbsp; This is real data for Sep 16<SUP>th</SUP> and the=
=20
            trades worked as advertised.&nbsp; The day produced overt 10 po=
ints=20
            in the AB.&nbsp; You can see that the red line races to the top=
=20
            immediately after the opening, crossing the blue line in the=20
            process.&nbsp; That crossing of the blue line is a long entry.&=
nbsp;=20
            Then the red line stays generally above the 70% threshold and t=
he=20
            price continues to rise.&nbsp;&nbsp; Note how the red and blue =
lines=20
            are separated through most of the up move.&nbsp; That indicates=
 a=20
            strong trend in progress and I would buy more contracts as the =
price=20
            pulls back and hooks. <O>&nbsp; </P>
            <P align=3D"center"><IMG height=3D"497" src=3D"../images/57-8.g=
if" width=3D"651" border=3D"0"></O> </P>
            <P>When the red line breaks the 50% line you can remove at leas=
t one=20
            contract if you are trading multiple contracts and if you are <=
SPAN class=3D"GramE">trading</SPAN> a single contract, go flat with the=20
            crossing of the 50% line.&nbsp; In the example chart, you=92ll =
notice=20
            that the red line again crosses the blue line on its way to the=
=20
            bottom of the window.&nbsp; You can sell that crossing and go=20
            short.&nbsp; As long as the red line stays below the 50% line y=
ou=20
            can stay in the short trade. <O></O></P>
            <P>That=92s it in a nut shell for the Aroon indicator.&nbsp; I =
do a=20
            couple of other things to help with entries and trade=20
            management.&nbsp; Look at the chart below and you can see I hav=
e=20
            placed the new auto trend lines, recently added to the Ensign=20
            program, on the chart example.&nbsp; I think you can see that i=
t is=20
            very beneficial to have these on the chart.&nbsp; I trade multi=
ple=20
            contracts and I use the Trend lines to 'take one off' when the =
price=20
            closes on the other side of a trend line and I reverse the trad=
e=20
            when the Aroon red line crosses the blue line, which when it ha=
ppens=20
            correctly, occurs quickly after the trend line break by the=20
            price.&nbsp; Obviously you can reverse the trade if you wish on=
 the=20
            trend line break, but I have seen those trend lines do a nasty=
=20
            little adjustment thing on occasion and that=92s not fun to get=
 caught=20
            in one of those, so I generally wait for the Aroon to confirm t=
he=20
            Trend line break and reversal.&nbsp; It is considered aggressiv=
e=20
            style to reverse the trend line breaks and you may get whipsawe=
d=20
            more often doing that than waiting for the Aroon. </P>
            <P align=3D"center"><IMG height=3D"497" src=3D"../images/57-9.g=
if" width=3D"651" border=3D"0"><B><SPAN></O> </SPAN></B></P>
            <P align=3D"center"><IMG height=3D"427" src=3D"../images/57-11.=
gif" width=3D"609" border=3D"0"> </P>
            <P>I have included some properties windows for the Aroon. The b=
asic=20
            settings are shown there.&nbsp; As you can see there is a capab=
ility=20
            to put an =93above and below=94 setting on the red line thus ma=
king it=20
            turn green when it is above the blue line and red when below=20
            it.<SPAN>&nbsp; </SPAN>That is the second=20
            Properties Window shown below.&nbsp; That makes it easier to ma=
nage=20
            your trade.&nbsp; Simply try to be long when it is green and sh=
ort=20
            when it is red.<O> </O></P>
            <P align=3D"center"><B><SPAN><IMG height=3D"427" src=3D"../imag=
es/57-10.gif" width=3D"499" border=3D"0"> </SPAN></B></P>
            <P align=3D"center"><IMG height=3D"426" src=3D"../images/57-12.=
gif" width=3D"498" border=3D"0"><B><SPAN></O> </SPAN></B></P>
            <P>There will be times when you should stay out of the market.&=
nbsp;=20
            Those times are when it is chopping.&nbsp; Look for the price b=
ars=20
            to go horizontal and the lines to cycle rapidly with the red an=
d=20
            blue lines crossing frequently. You must avoid this type market=
 with=20
            the Aroon system.&nbsp; The Aroon becomes a virtual whipsaw mac=
hine=20
            in those circumstances.&nbsp; There are many methods to identif=
y=20
            chop.&nbsp; The action of&nbsp; the 'Average Bars' is a good wa=
y to=20
            spot and avoid chop. </P>
            <P align=3D"center"><IMG height=3D"477" src=3D"../images/57-13.=
gif" width=3D"637" border=3D"0"> </P>
            <P>When the market is moving normally this system will catch al=
l the=20
            winners and cut losers fairly quickly due to the action of the =
Aroon=20
            and the price action around the trend lines.&nbsp; I use a 0.75=
=20
            range chart to trade with this indicator.&nbsp; I=92m sure othe=
r time=20
            frames will work with the Aroon but the settings should be tail=
ored=20
            to the time frame.&nbsp; Give it a try and see if you like it.&=
nbsp;=20
            A template named the AroonSystem can be downloaded from the Ens=
ign=20
            web site.&nbsp;&nbsp;=20
            <P>I hope this clears up some of the confusion that many seem t=
o=20
            have concerning this great indicator.&nbsp; Good trading to all=
=20
            <HR>
            <B>Education:
            <CENTER><A name=3D"Stock">Stock</A> Option Model -=20
            September</B><BR><FONT size=3D"1">by Howard Arrington</FONT></C=
ENTER>
            <P>This is the September update of the paper trading model base=
d on=20
            Bill Hatch's July article&nbsp; <A href=3D"tradingtips55.htm">S=
traddle-Strangle-<wbr>Swap</A>.&nbsp;&nbsp;<A href=3D"tradingtips56.htm#Sto=
ck">Last month</A> I defined the scope of=20
            this project, and promised to publish an update each month for =
the=20
            rest of 2004.
            <P>The model is selling near term options in Dell Computers (DE=
LL),=20
            Home Depot (HD), Office Depot (OPD),&nbsp; and Disney (DIS), an=
d=20
            holding longer term options as an insurance policy.&nbsp;&nbsp;=
 The=20
            plan is to execute a calendar roll-out each month by buying bac=
k the=20
            short options on the day before expiration, and selling short=20
            options one month out.&nbsp;&nbsp; The roll-out of replacing th=
e=20
            September options with October options was carried out on Thurs=
day,=20
            September 16th, 2004.&nbsp; The October roll-out will be carrie=
d out=20
            on Thursday, October 14th.&nbsp; This is where the model stands=
            <P align=3D"center"><IMG height=3D"535" src=3D"../images/57-5.g=
if" width=3D"515" border=3D"0">
            <P>A desirable characteristic is for the stocks to be tracking=
=20
            sideways.&nbsp; This was the case in the past month for Dell,=20
            Disney, and Office Depot.&nbsp; The stock that trended was Home=
=20
            Depot, possibly benefiting from increased demand for building=20
            materials because of the three hurricanes.
            <P align=3D"center"><IMG height=3D"296" src=3D"../images/57-6.g=
if" width=3D"634" border=3D"0">
            <P align=3D"left">The short HDIG Call at $35 is the trade that =
was a=20
            costly $2000.&nbsp; The model will resell the same strike in th=
e=20
            October month with the expectation that Home Depot prices will=
=20
            return to a more average price.
            <P align=3D"left"><B>Summary:</B>=20
            <BLOCKQUOTE>
              <BLOCKQUOTE>
                <UL>
                  <LI>
                  <P align=3D"left">Dell:&nbsp;&nbsp;&nbsp; - 125 - 375 + 1=
75 + 775=20
                  =3D&nbsp;&nbsp;&nbsp;&nbsp; $450 net gain </P>
                  <LI>
                  <P align=3D"left">HD:&nbsp;&nbsp;&nbsp;&nbsp; + 975 - 375=
 - 2025 +=20
                  225 =3D -$1200 net loss </P>
                  <LI>
                  <P align=3D"left">ODP:&nbsp; - 525 - 75 + 1175 - 175=20
                  =3D&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $400 net gain </P>
                  <LI>
                  <P align=3D"left">DIS:&nbsp;&nbsp;&nbsp; - 25 - 325 - 25 =
+ 525=20
                  =3D&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
 $150=20
                  net gain=20
      </P></LI></UL></BLOCKQUOTE></BLOCKQUOTE></td></TR></TBODY></TABLE></D=
IV>
      <HR>
<!--msnavigation--></TD></TR><!--msnavigation--></TBODY></TABLE><!--msnavig=
ation-->
<TABLE cellSpacing=3D"0" cellPadding=3D"0" width=3D"100%" border=3D"0">
  <TBODY>
  <TR>
    <TD><FONT size=3D"1">
      <P align=3D"center">Copyright =A9 2008 by Ensign Software, Inc.</FONT=
>=20
</P></TD></TR><!--msnavigation--></TBODY></TABLE>
</p>
    </div>=20=20

    <!--~-|**|PrettyHtmlStart|**|-~-->
    <span width=3D"1" style=3D"color: white;">__._,_.___</span>
    <!-- Start the section with Message In topic -->
    <div id=3D"ygrp-actbar">
              <span class=3D"left">
          <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_I=
ndicators/message/78514;_ylc=3DX3oDMTM3a2U3NnB2BF9TAzk3MzU5NzE0BGdycElkAzEy=
MTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAM3ODUxNARzZWMDZnRyBHNsawN2dHBjBHN=
0aW1lAzEyMDUzMzUwODEEdHBjSWQDNzg1MTQ-">
            Messages in this topic          </a> (<span class=3D"bld">1</sp=
an>)
        </span>
        <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_Ind=
icators/post;_ylc=3DX3oDMTJydGFjNjRoBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGd=
ycHNwSWQDMTcwNTAwMTc4MARtc2dJZAM3ODUxNARzZWMDZnRyBHNsawNycGx5BHN0aW1lAzEyMD=
UzMzUwODE-?act=3Dreply&messageNum=3D78514">
          <span class=3D"bld">
            Reply          </span> (via web post)
        </a>  |=20
        <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_Ind=
icators/post;_ylc=3DX3oDMTJmcmNmcDNjBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGd=
ycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNudHBjBHN0aW1lAzEyMDUzMzUwODE-" clas=
s=3D"bld">
          Start a new topic        </a>
          </div>=20
    <!-------     Start Nav Bar  ------>
    <!-- |**|begin egp html banner|**| -->
    <div id=3D"ygrp-vitnav">
                <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts=
_and_Indicators/messages;_ylc=3DX3oDMTJmc29qYjh2BF9TAzk3MzU5NzE0BGdycElkAzE=
yMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNtc2dzBHN0aW1lAzEyMDUzMz=
UwODE-">Messages</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/files;_ylc=3DX3oDMTJncG84bG9nBF9TAzk3MzU5NzE0BGdycElkAzEyM=
TExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNmaWxlcwRzdGltZQMxMjA1MzM1=
MDgx">Files</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/photos;_ylc=3DX3oDMTJmNDlvMTVwBF9TAzk3MzU5NzE0BGdycElkAzEy=
MTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNwaG90BHN0aW1lAzEyMDUzMzU=
wODE-">Photos</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/links;_ylc=3DX3oDMTJnMDhyMWFnBF9TAzk3MzU5NzE0BGdycElkAzEyM=
TExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNsaW5rcwRzdGltZQMxMjA1MzM1=
MDgx">Links</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/database;_ylc=3DX3oDMTJkc20zdmVlBF9TAzk3MzU5NzE0BGdycElkAz=
EyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNkYgRzdGltZQMxMjA1MzM1M=
Dgx">Database</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/polls;_ylc=3DX3oDMTJnbHVuMWpoBF9TAzk3MzU5NzE0BGdycElkAzEyM=
TExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNwb2xscwRzdGltZQMxMjA1MzM1=
MDgx">Polls</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/members;_ylc=3DX3oDMTJmaGtjcWo1BF9TAzk3MzU5NzE0BGdycElkAzE=
yMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNtYnJzBHN0aW1lAzEyMDUzMz=
UwODE-">Members</a>=20=20
            |    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Expert=
s_and_Indicators/calendar;_ylc=3DX3oDMTJlOGs4ZjkxBF9TAzk3MzU5NzE0BGdycElkAz=
EyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNjYWwEc3RpbWUDMTIwNTMzN=
TA4MQ--">Calendar</a>=20=20
    </div>=20=20
    <!-- |**|end egp html banner|**| -->

                <div id=3D"ygrp-grft">
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20
<!-- |**|begin egp html banner|**| -->

          For archives of Experts and Indicators from the MetaTrader Expert=
s and Indicators Group<BR>
See <a href=3D"http://www.forexmt4.com/">http://www.forexmt4.com/</a> or <a=
 href=3D"http://www.lightpatch.com/forex">http://www.lightpatch.com/forex</=
a><BR>
=20=20=20=20=20=20=20=20=20=20
<!-- |**|end egp html banner|**| -->

              </div>
=20=20=20=20
    <!-- yahoo logo -->
    <!-- |**|begin egp html banner|**| -->
    <div id=3D"ygrp-ft">
      <a href=3D"http://groups.yahoo.com/;_ylc=3DX3oDMTJlN2VjbzZhBF9TAzk3ND=
c2NTkwBGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNnZnAEc=
3RpbWUDMTIwNTMzNTA4MQ--">
      <img src=3D"http://us.i1.yimg.com/us.yimg.com/i/yg/img/logo/ma_grp_16=
0.gif" height=3D"15" width=3D"106" border=3D"0" alt=3D"Yahoo! Groups"></a> =
<br>
      <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_Indic=
ators/join;_ylc=3DX3oDMTJnNzJqbGpuBF9TAzk3NDc2NTkwBGdycElkAzEyMTExMDcxBGdyc=
HNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNzdG5ncwRzdGltZQMxMjA1MzM1MDgx">Change=
 settings via the Web</a> (Yahoo! ID required) <br>
      Change settings via email: <a href=3D"mailto:MetaTrader_Experts_and_I=
ndicators-digest@yahoogroups.com?subject=3DEmail Delivery: Digest">Switch d=
elivery to Daily Digest</a> | <a href =3D "mailto:MetaTrader_Experts_and_In=
dicators-traditional@yahoogroups.com?subject=3DChange Delivery Format: Trad=
itional">Switch format to Traditional</a> <br>

      <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_Indic=
ators;_ylc=3DX3oDMTJlcWQ2ZjRpBF9TAzk3NDc2NTkwBGdycElkAzEyMTExMDcxBGdycHNwSW=
QDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNocGYEc3RpbWUDMTIwNTMzNTA4MQ--">
        Visit Your Group=20
      </a> |
      <a href=3D"http://docs.yahoo.com/info/terms/">
        Yahoo! Groups Terms of Use      </a> |
      <a href=3D"mailto:MetaTrader_Experts_and_Indicators-unsubscribe@yahoo=
groups.com?subject=3D">
        Unsubscribe      </a>=20
    </div>     <!-- |**|end egp html banner|**| -->
  </div> <!-- ygrp-msg -->

=20=20
  <!-- Sponsor -->
  <!-- |**|begin egp html banner|**| -->
  <div id=3D"ygrp-sponsor" style=3D"width:140px;float: left; clear: none; m=
argin-left: 5px; background:white; margin-bottom:25px ;position:absolute; t=
op:0; right: 0;">
    <!-- Network content -->
=20=20=20=20
    <!-- Start vitality -->
    <div id=3D"ygrp-vital">
              <div id=3D"vithd">Recent Activity</div>
        <ul style=3D"list-style-type:none; padding: 0; margin: 2px 0;">
                <li style=3D"clear: both;">
      <div class=3D"ct" style=3D"float: right;"><span style=3D"display:none=
">&nbsp;</span>44</div>
      <div class=3D"cat"><a href=3D"http://groups.yahoo.com/group/MetaTrade=
r_Experts_and_Indicators/members;_ylc=3DX3oDMTJnczNnbXR2BF9TAzk3MzU5NzE0BGd=
ycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2bWJycwRzdGltZQ=
MxMjA1MzM1MDgx">New Members</a></div>
    </li>
=20=20
=20=20=20=20=20=20=20=20=20=20=20=20
=20=20=20=20=20=20=20=20=20=20=20=20
=20=20=20=20=20=20=20=20=20=20=20=20
                <li style=3D"clear: both;">
      <div class=3D"ct" style=3D"float: right;"><span style=3D"display:none=
">&nbsp;</span>4</div>
      <div class=3D"cat"><a href=3D"http://groups.yahoo.com/group/MetaTrade=
r_Experts_and_Indicators/files;_ylc=3DX3oDMTJoNzZzaGliBF9TAzk3MzU5NzE0BGdyc=
ElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2ZmlsZXMEc3RpbWUD=
MTIwNTMzNTA4MQ--">New Files</a></div>
    </li>
=20=20
=20=20=20=20=20=20=20=20=20=20=20=20
        </ul>
            <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and=
_Indicators;_ylc=3DX3oDMTJmMzdvZnVoBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdy=
cHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2Z2hwBHN0aW1lAzEyMDUzMzUwODE-">
        Visit Your Group      </a>
    </div>=20
=20=20=20=20=20=20=20=20=20=20=20=20=20=20
    <!-- Network content -->
              <div id=3D"nc">
              <div class=3D"ad">
                      <div id=3D"hd1">Yahoo! Finance</div>=20
<p><a href=3D"http://us.ard.yahoo.com/SIG=3D13o0blh9k/M=3D493064.12016257.1=
2445664.8674578/D=3Dgroups/S=3D1705001780:NC/Y=3DYAHOO/EXP=3D1205342282/L=
=3D/B=3DjMYxAkJe5tk-/J=3D1205335082171815/A=3D4507179/R=3D0/SIG=3D12de4rskk=
/*http://us.rd.yahoo.com/evt=3D50284/*http://finance.yahoo.com/personal-fin=
ance">It's Now Personal</a></p>=20
<p>Guides, news,</p>=20
<p>advice & more.</p>                   </div>
                    <div class=3D"ad">
                      <div id=3D"hd1">Curves on Yahoo!</div>=20
<p><a href=3D"http://us.ard.yahoo.com/SIG=3D13p45f7ou/M=3D493064.12016299.1=
2445691.11322765/D=3Dgroups/S=3D1705001780:NC/Y=3DYAHOO/EXP=3D1205342282/L=
=3D/B=3DjcYxAkJe5tk-/J=3D1205335082171815/A=3D4990220/R=3D0/SIG=3D11odsb6gn=
/*http://new.groups.yahoo.com/Women_Of_Curves_Everywhere">Share &amp; discu=
ss</a></p>=20
<p>Curves, fitness</p>=20
<p>and weight loss.</p>                  </div>
                    <div class=3D"ad">
                      <div id=3D"hd1">Y! Groups blog</div>=20
<p><a href=3D"http://us.ard.yahoo.com/SIG=3D13oppssq6/M=3D493064.12016258.1=
2582637.8674578/D=3Dgroups/S=3D1705001780:NC/Y=3DYAHOO/EXP=3D1205342282/L=
=3D/B=3DjsYxAkJe5tk-/J=3D1205335082171815/A=3D5191953/R=3D0/SIG=3D112mhte3e=
/*http://www.ygroupsblog.com/blog/">The place to go</a></p>=20
<p>to stay informed</p>=20
<p>on Groups news!</p>                  </div>
          </div>
=20=20=20=20
  </div>   <!-- |**|end egp html banner|**| -->
  <div style=3D"clear:both; color: #FFF; font-size:1px;">.</div>
</div>   <img src=3D"http://geo.yahoo.com/serv?s=3D97359714/grpId=3D1211107=
1/grpspId=3D1705001780/msgId=3D78514/stime=3D1205335081/nc1=3D4507179/nc2=
=3D4990220/nc3=3D5191953" width=3D"1" height=3D"1"> <br>

<span  style=3D"color: white;">__,_._,___</span>
<!--~-|**|PrettyHtmlEnd|**|-~-->
</body>
<!--~-|**|PrettyHtmlStart|**|-~-->
<head>
<style type=3D"text/css">
<!--
#ygrp-mkp{
  border: 1px solid #d8d8d8;
  font-family: Arial;
  margin: 14px 0px;
  padding: 0px 14px;
}
#ygrp-mkp hr{
  border: 1px solid #d8d8d8;
}
#ygrp-mkp #hd{
  color: #628c2a;
  font-size: 85%;
  font-weight: bold;
  line-height: 122%;
  margin: 10px 0px;
}
#ygrp-mkp #ads{
  margin-bottom: 10px;
}
#ygrp-mkp .ad{
  padding: 0 0;
}
#ygrp-mkp .ad a{
  color: #0000ff;
  text-decoration: none;
}
-->
</style>
</head>
<head>
<style type=3D"text/css">
<!--
#ygrp-sponsor #ygrp-lc{
  font-family: Arial;
}
#ygrp-sponsor #ygrp-lc #hd{
  margin: 10px 0px;
  font-weight: bold;
  font-size: 78%;
  line-height: 122%;
}
#ygrp-sponsor #ygrp-lc .ad{
  margin-bottom: 10px;
  padding: 0 0;
}
-->
</style>
</head>
<head>
<style type=3D"text/css">
<!--
#ygrp-mlmsg {font-size:13px; font-family: arial,helvetica,clean,sans-serif;=
*font-size:small;*font:x-small;}
#ygrp-mlmsg table {font-size:inherit;font:100%;}
#ygrp-mlmsg select, input, textarea {font:99% arial,helvetica,clean,sans-se=
rif;}
#ygrp-mlmsg pre, code {font:115% monospace;*font-size:100%;}
#ygrp-mlmsg * {line-height:1.22em;}
#ygrp-text{
    font-family: Georgia;=09
}
#ygrp-text p{
    margin: 0 0 1em 0;
}
#ygrp-tpmsgs{
    font-family: Arial;=09
    clear: both;
}
#ygrp-vitnav{
	padding-top: 10px;
	font-family: Verdana;
	font-size: 77%;
	margin: 0;
}
#ygrp-vitnav a{
	padding: 0 1px;
}
#ygrp-actbar{
	clear: both;
	margin: 25px 0;
	white-space:nowrap;
	color: #666;
	text-align: right;
}
#ygrp-actbar .left{
	float: left;
	white-space:nowrap;
}
bld{font-weight:bold;}
#ygrp-grft{
	font-family: Verdana;
	font-size: 77%;
	padding: 15px 0;
}
#ygrp-ft{
  font-family: verdana;
  font-size: 77%;
  border-top: 1px solid #666;=20
  padding: 5px 0;=20
}
#ygrp-mlmsg #logo{
  padding-bottom: 10px;
}

#ygrp-vital{
	background-color: #e0ecee;
	margin-bottom: 20px;
	padding: 2px 0 8px 8px;
}
#ygrp-vital #vithd{
	font-size: 77%;
	font-family: Verdana;
	font-weight: bold;
	color: #333;
	text-transform: uppercase;
}
#ygrp-vital ul{
	padding: 0;
	margin: 2px 0;
}
#ygrp-vital ul li{
  list-style-type: none;
  clear: both;
  border: 1px solid #e0ecee;=20=20
}
#ygrp-vital ul li .ct{
  font-weight: bold;
  color: #ff7900;
  float: right;
  width: 2em;
  text-align:right;
  padding-right: .5em;
}
#ygrp-vital ul li .cat{
  font-weight: bold;
}
#ygrp-vital a{
	text-decoration: none;
}

#ygrp-vital a:hover{
  text-decoration: underline;
}

#ygrp-sponsor #hd{
	color: #999;
	font-size: 77%;
}
#ygrp-sponsor #ov{
	padding: 6px 13px;
	background-color: #e0ecee;
	margin-bottom: 20px;
}
#ygrp-sponsor #ov ul{
	padding: 0 0 0 8px;
	margin: 0;
}
#ygrp-sponsor #ov li{
	list-style-type: square;
	padding: 6px 0;
	font-size: 77%;
}
#ygrp-sponsor #ov li a{
	text-decoration: none;
	font-size: 130%;
}
#ygrp-sponsor #nc{
  background-color: #eee;
  margin-bottom: 20px;
  padding: 0 8px;
}
#ygrp-sponsor .ad{
	padding: 8px 0;
}
#ygrp-sponsor .ad #hd1{
	font-family: Arial;
	font-weight: bold;
	color: #628c2a;
	font-size: 100%;
	line-height: 122%;
}
#ygrp-sponsor .ad a{
	text-decoration: none;
}
#ygrp-sponsor .ad a:hover{
	text-decoration: underline;
}
#ygrp-sponsor .ad p{
	margin: 0;
}
o{font-size: 0; }
MsoNormal{
   margin: 0 0 0 0;
}
#ygrp-text tt{
  font-size: 120%;
}
blockquote{margin: 0 0 0 4px;}
replbq{margin:4}
-->
</style>
</head>
<!--~-|**|PrettyHtmlEnd|**|-~-->
</html><!--End group email -->


------=_NextPart_001_0037_01C88432.B26BF570--

------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="ensignheader.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/ensignheader.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-home.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-home.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-charts.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-charts.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-help.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-help.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-download.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-download.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-order.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-order.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-contactus.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-contactus.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-features.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-features.gif
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=

------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-templates.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-templates.gif

R0lGODlhZAAWAPcAAAAAAIAAAACAAICAAAAAgIAAgACAgMDAwMDcwKbK8AAAVQAAgEBA/3FvZP//
/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAP/78KCgpICAgP8AAAD/AP//AAAA//8A/wD//////yH5BAAAAAAALAAAAABkABYA
hwAAAIAAAACAAICAAAAAgIAAgACAgMDAwMDcwKbK8AAAVQAAgEBA/3FvZP///wAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/7
8KCgpICAgP8AAAD/AP//AAAA//8A/wD//////wj+ABkIHEiwoMGDCBMqXMiwocEGDhwwIECxosWL
GDNq3Mixo8ePFhVAlAiypMmTKEuKjDgxpcuXMD2uJBmzpk2YM1uejMjTgc2IN0/mfAn0ZlGMR4NW
HOoyaUynFaEGZZrSaU+KPXlivUqgKFetXcGG9ZmSKsqkXn0CXauWLNuLb8NulStV5kidZ8luvfo2
rl++brPOdWl2p165Fvu2nfsXsdS6dlkSPZyW7uLKjStbRiz07mS4YBWP1SzYsVixnSUrBQl5dWSa
rju2jr2xMO3bNm3j3k3YM+/fL3MqGE68uPHjyJMrX868uXPjIxtIn069uvXr2LNr3869+/Ws4MML
ix9Pvrz58+jDBwQAOw==

------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-videos.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-videos.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-newsletter.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-newsletter.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-espl.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-espl.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="b-chat.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/b-chat.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-1.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-1.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-2.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-2.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-3.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-3.gif

R0lGODlhewHNAPcAAAAAAIAAAACAAICAAAAAgIAAgACAgMDAwMDcwKbK8AAAAAAA/wA93AA93QA+
3AA+3QBI8QD//whV3RZq7hrl5eXl5ejo6P8AAP///wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAP/78KCgpICAgP8AAAD/AP//AAAA//8A/wD//////yH5BAAAAAAALAAAAAB7Ac0A
hwAAAIAAAACAAICAAAAAgIAAgACAgMDAwMDcwKbK8AAAAAAA/wA93AA93QA+3AA+3QBI8QD//whV
3RZq7hrl5eXl5ejo6P8AAP///wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/7
8KCgpICAgP8AAAD/AP//AAAA//8A/wD//////wj+ACdIwACgoMGDCBMqXMiwocOHECNKnEixosWL
GDNq3Mixo0YIDARiGEmypMmTKFOqXMmypcuXMGPKhAlgps2bOHPq3EmT50yQIn0KHUq0qNCaRpMq
XWoUKdOTQAc+nUq1qkynVrNqfYq1atStYMNyFUu2LM6uVL+aXcv2atu3cEminao2rt24c+/qtZqX
ad29gMX2DUy46GClfwsrnnp4seObjY0mfkx5aOTKmFdeJjo589vNOUF7Hk1wa2fSZkVDRs2apWqe
p1uHfT2TtmzFtnPGvq01d0/ewH3f3A28qnCXx4vjNR1SqvLZjJ/LTi6TuPSl1DVfZ50dpvXtTaP+
gx/d/eX38ZbFo8dc3uV5DAsWmIzvkj58+Sft39Tfkn9J/6Gptx5l7bX0nn8AspTgTgui1GB6TTU0
4GIFsnQgfiQ96CCGQsWnYYYcKlVgXxdMiBtzQdUXIoIe/oeffvbF6OGH9wE4I4Y3ckjjSyOqBEAE
JhJW4UoXzqfjizgiORKMSCq5kowugrgklFMelVRfNQEZ5F5DqnRhjklGeV+V/FFZpUpmjpnfkWfy
1GNKSGm5pV1dplSkmGqeKSOLbY6ZY59Mbijmjshd6SNJcs75GYrO9bdikn+qOaORgIaIZ541Biol
pjq9iRJWiSq6Vp0o3bkpp5vSV6aTfboIpqX+krKJ6lmGwmlSqKKSRSpUzcHEZ6V6sprmgjbCOiyr
O3l6Elq45grWriaZCmyeZlK5qqCCanrtrKuFZ+tJzTqbFbQlScvppKmyeSy2a07Z4rSEfiqhT1im
FK64VJFL0nv4fqpSifQeam+/W+k7Er8El4TlvW59O3DCxjEKcW0+MhxTvStZPHHAWiE8cb0aF+qw
SiFvHGDHvZrM46EluyYwSy2r3HBWHkOMccwjm3QZzjKLTHPKPWvnMM86v9wS0UHnnBbQSfs7dKdG
H910shJP7fTVGCA9EsYwaW21wRjUnDDXI2lN9kteNw222ASfbXbUaFtt09pMy7013Eif3bX+3RdX
zffdSucN995/t0R3in/rnfXcgxNeeON+1W234ovPvKxOaZt8eKN8U84z5TFl/rFcBxFUuuloGUR6
X2z3CzrOoIf+ONZylaZw7biX5lRereMbe8yxh+5QBKIPmDrguWO1u+3MRyu53L/3rbRNQDpUdvHj
HY86UssnzzzvvVYg/vjkl2/++einr/767Lfv/vvkY7k+Be/LD//59FfgEPkU5H///wAMoADh15Xu
6S5330tgqZ73NciV7Te0m4mcrHcr4mmuaJczYAI1WC4GTi14lTOcA6W2uoWQDHvBuZ2/NLg8Du7L
g2ob4QNFOL24KWxeJ0Rha5SnwgMib4P+COwg4jonwxAKLYI2vCFD0KZD0vBQiatDnuq2VhAvwTBp
IJzhES8nQXktsWtNzMzmZpdFLdaweY5TogllQrwwPmaMjyujEZH4wyTqDIcSdOOJUDbEyRURUVvE
YBrv+EWcWHBCcCycHOcoSC7acVl4vImWKHibRCbuj4A842YsRknqTZAhAKuk37JXKzpmTJOP9OIa
80jIhehRV6MEj7Iamco69vCUhoukSw7ZSoUwkjyx3M4sbzlIWwYRJSXr5NHuRcFXPiuY1xnmMVMZ
vJYp84SuwaEzewNN6UjTmLt0pDjBdTFdgitkndwmX7r5nG+iUXbEjGcmaWJORFkTj+r+jBgfOSfM
Uo4TntME5+fqyUseRTKfAvLKFVPoLVOGM6Dv/GUuC2nPuekSoUyxpCz9ScsugvOdecOn2cyJURGx
Uznu9M0E8QaZeRXUohQtSUkbapXeVSalO5lk1EbKkJe2NKYyFeNJi4PTnEb0h9gbUT3N6BiN9pOm
HaXeUZmHQqUC9VY3HSpDDYNJmN2MKFZdJckIpFXeFDWnIONqhK5KzqaWVZRQledNLrBUqK1VrGN1
6z6Nx1G5enRcV6prUCn01un0FaJsLFhg2YpMwu51PWfNyUw/2inBYrUwTo3mYSlbzHwtFq8kDExm
zWpZCP7zr9y8qy8TK9rCemaRLjv+Yy31aZjStpVLrhVqSkJJNdk+9JmqTYgkATNauH6qeLC9LHSC
ixBD4vax3qwYxxwaWuDWlrG/XQ5028kyN3VVucu9LmgBqt2f9XGrXMxccplqXbDaNq/lrelCUcO1
tK1XooBl7ukkS6fcsudl9v0ue9trmfficlHbRanRvJbcyfr2LAbO2DUTurTzmnWntHrwbcsS1tXy
hK7YNWmCicpSxml4sCiNMMkmPJYRo7ejgjvxPImq4sayOKP+zer0iLZIB/emxpe9MXZyTNYafg6T
Pv5xiEMrZBGbl58v9ivskCxMIJuxyZuNnIWNe9oBB9Kv4G2nlY2I5YY+Map1HIz+TTHrQOD9MclK
Hu8jy6zW5s1lkWsW0gitWUQ4x9nDrFUjoGl75trlBTR5bu2DkylDP/9ZuKgt4aA9+8PjKY97pqPs
VwbI6U7fz37q89/6QJ0+UXv61KhG3/7uZ+rxrTrV7dtdc3uIad1hWs3zdWKffdblGVd5yWEWNKTz
a2cqKvDYNcH1lg17Yo1VE7IGZhidwYrAAu7Xdi0kUq6B2WwaOtTRBXsvJ8ec4WIHMdl3y7YVl71D
Kn8ZouAON7DxK+lhr7PSxORerX1op22/tqvShly8Hz1rmCGH3N168lOpu2E0H3XgBL82fDWDcBMr
XLMy9vJU8wLxcVk2mRWnmIv+L5xxLyuu4x4P8T3nTe2Rc9nhB/Yrs7YkZOCF3HIKZbdi44rYmH90
5kG6MexuLr2LtyWy5P15sKHN1oGyHEJGZwvSk042lMt7vDwmumlzDmVY8pyzBocoqBR1zZA+3Uou
D2/LGR72jfvaRMrkqZxxnHYCo53tB66vqNIZGq2vrO47r3OvCffVveOz72efrnx1nlrBw3xvac0V
Je3rd15zHS5Tl2TkDf9F9Vbe24vvumCynJwILExc1hPdtKEeesyTXiggdiXqG4Lcz8c26qN6PU+s
zmb9TpHYrUew48Gc9KB12N60Df7RdY85P/q+io1XvtSZ71zni3fSFKaLvyn+PfyeZ/eDn8V+i3Gf
GupLlYjPB1tx1c76x7fd+u5NvHcBH/32E//90As/8rkv/dx/farVBX8FJn+9RX5XJ34WN3g+J4BH
YXvv9hSJdjJ4Z3n39zCKpH8Fd28GWH8Kg1wCRm8xlH6B1392VzuqJ2C8918iyIHax3jjl14FqICN
NTsAiHhzN2T094KCFGAll4IqeH37l30QuH3Ux2AAR4Pe91M36GQkOIK09DYZ54M/GH9LmGVLEYHl
9k8xNoFSOIUDWIX/d4VE+H9zwWNvhoQVCFNg2H1D6IJ0h0RmqGFdqFtAmIHJd3kc1jhHJodoyBgO
+IE7gYUJ12tTtmh96If+BGhXGwh8MOdmvjWHbfOHJecTgpiAj8dnj3iIiLiGa9eELAh2jCZbkBiJ
iSiBnsiIFYhOAqeJ+SKJEzgUlShyeOdsq8iKXOGK4jRFs/Z7UURFrDOGbFiDKIZKM2iLGYWLgqRu
3uM9LnQwwNiJ7jeMvVaGxriJCIiDaFRA1WZoARWLOJeGbyd2xViNIoKMtNZKUnSOzRg24QNr/0Nq
7tNq4gOPFSCP7niP+JiP+lg+r7aP/FhC6chC3AhO3lh0MjiO4iiN5IiBEsd9HIRu+JZu3fiM9peE
COl2CrmQddiQ6vGQxwZEBEmRd3eQFqh04aiRVHiNTqaMEGlu/AY+boj+jSSJkHqHksdYiln4ezoJ
fbLWk+smeho4k+NYkzZZjjg5iHjoda9YjIVXlEbJiRXZhkB5h+CYV5vnlAzJi1TZglPJf9EoNVeJ
lRuplV5ZYV0phMKINrz1lWIJYUdpiWZZfpNoL7Gnkm1ZWW8pi6cYlGy5gHdpHOZokZwhkorXlyX5
lykHlSOZlKM3lxmJmK2Yl9/IlXK5lEsHmZGpmIUZl3nomBqHmTepmfO3iHxZlZcJmrcomQbJmOxn
mieJmqkpmjHImiUIdhcJm5lpl2GIGIQ5mkL5mbiJHYFpm0VRkFtnmqNYjau3mJyplEKZnDYJNoZJ
ib05m+AIndHZmaT7uZXEiZ3Z6Zy06YSpGJzC15qUqZ0H6Z3f2ZjbWZbep57raZ5SWZkKCJ/xWZta
dpY6CGb2eZ/ieZ7gKWXk2V8BCqDs2WX9WZTS6ZqwUZ2KeFoJqqDoGZ6fCFIDqhcLKpiw6KCm+IQX
iqET2pwH2kgRipUZSpyDGZNMSKIfCqIFOp8hmjslaqIxCqMvajszSqM3KoYq+no5qqMjKqLySRA/
CqRDyqP6GZq62aL0iZ9IyqRQ6pm6waFR6p8GWqVRun5YSp5auqW42aVeippgGqaYOaZkiphmeqZ3
OUYe0aZu+qZwGqdyOqd0WqcTQWRqChMWEKbGqaZ76qUgERAAOw==

------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-7.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-7.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-8.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-8.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-9.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-9.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-11.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-11.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-10.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-10.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-12.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-12.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-13.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-13.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-5.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-5.gif
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------=_NextPart_000_0036_01C88432.B26BF570
Content-Type: image/gif;
	name="57-6.gif"
Content-Transfer-Encoding: base64
Content-Location: http://www.ensignsoftware.com/images/57-6.gif
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------=_NextPart_000_0036_01C88432.B26BF570--


