X-Account-Key: account3
X-UIDL: 1205683733.024
X-Mozilla-Status: 0001
X-Mozilla-Status2: 10000000
X-Mozilla-Keys:                                                                                 
Received: from n11e.bullet.scd.yahoo.com by genie.lightpatch.com id aa11336;
          15 Mar 2008 10:33 PST
Comment: DomainKeys? See http://antispam.yahoo.com/domainkeys
DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=lima; d=yahoogroups.com;
	b=o2Fc5txa6CsmQMvlFkezuBqsbCu2Db506TL50O4n233l16dYaPyxAtfjYucbKV8wwc8t7dH+F/95cXOIjPozz2RtLvLJn0qbCHQrMAihQd9E7Rr13ijMUng0xVD5V4Qp;
Received: from [66.218.69.4] by n21.bullet.scd.yahoo.com with NNFMP; 15 Mar 2008 18:32:10 -0000
Received: from [66.218.67.115] by t4.bullet.scd.yahoo.com with NNFMP; 15 Mar 2008 18:32:09 -0000
X-Yahoo-Newman-Id: 12111071-m78618
X-Sender: gmorlan@tampabay.rr.com
X-Apparently-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
X-Received: (qmail 98290 invoked from network); 15 Mar 2008 18:32:06 -0000
X-Received: from unknown (66.218.67.97)
  by m47.grp.scd.yahoo.com with QMQP; 15 Mar 2008 18:32:06 -0000
X-Received: from unknown (HELO hrndva-omtalb.mail.rr.com) (71.74.56.122)
  by mta18.grp.scd.yahoo.com with SMTP; 15 Mar 2008 18:32:05 -0000
X-Received: from lorenzy5yllpkh ([72.184.17.31]) by hrndva-omta06.mail.rr.com
          with ESMTP
          id <20080315183157.JLDB5710.hrndva-omta06.mail.rr.com@lorenzy5yllpkh>;
          Sat, 15 Mar 2008 18:31:57 +0000
To:  <Divergence@yahoogroups.com>
Message-ID: <002301c886ca$db6feb80$924fc280$@rr.com>
X-Mailer: Microsoft Office Outlook 12.0
Thread-Index: AciGytqs8vIMA/7nTJKzkm/VJ3hzpg==
Content-Language: en-us
X-Originating-IP: 71.74.56.122
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: Sat, 15 Mar 2008 14:31:59 -0400
Subject: [MT_E and I] GBP/USD, 3/14/08,  TREND DETERMINATION, multiple time periods
X-Yahoo-Newman-Property: groups-email-ff-m
Reply-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Content-Type: multipart/mixed;
 boundary="----=_NextPart_000_0024_01C886A9.545E4B80"
X-Antivirus: AVG for E-mail 7.5.519 [269.21.7/1331]

------=_NextPart_000_0024_01C886A9.545E4B80
Content-Type: multipart/alternative;
 boundary="----=_NextPart_001_0025_01C886A9.545E4B80"

------=_NextPart_001_0025_01C886A9.545E4B80
Content-Type: text/plain;
	charset="windows-1250"
Content-Transfer-Encoding: quoted-printable

Four time period charts are attached which relate to a longer term study of
trend.  The technician may well use four shorter periods for specific
trading activity, nevertheless a longer perspective of trend is important.
This study relates to use of the Gartley AB=3DCD pattern structure and
divergences in each period.

=20

The charts use MACD_Colored_v105 in two different forms.  These indicators
are similar to AO and AC indicators developed by Dr. Williams.  William=92s
fractals also appear on charts and are used to identify appropriate lows an=
d
highs for divergence purposes.  Standard Deviation trend lines are placed o=
n
the charts by the technician at appropriate locations.  Fibonacci
retracement studies are also placed by the technician.=20=20

=20

MONTHLY;

=20

The first Fibonacci study starts at the low and ends at the high point B an=
d
measure the strength of an up cycle.  No candle closed below 38.2 suggestin=
g
the uptrend was strong with an ultimate high of 2.2539 (A to B added to C
low @ 1.7047).

=20

The upper M =3D momentum indicator identifies pertinent AB=3DCD pattern
structure in this period.  Points A and B mark the 1st leg up.  The M
indicator traces a CND at B high.  Red bars and candles follow the BC
corrective leg fractal low at C.  This was a Fibonacci 38.2 retracement nea=
r
the lower SDC line.  Thereafter and currently the CD leg has commenced.
This leg is often extended (greater than the AB leg).  Presently the last
bar is green above the zero line.  The previous red bars above zero indicat=
e
retracement in the developing D leg high.=20=20

=20

The M and A indicators trace a RPD at C low suggesting continuation of the
up cycle.  This divergence only occurs in an up cycle and is the most
reliable of divergences.

=20

The second Fibonacci study measures the strength of the CD leg currently in
progress.  Price has retraced to 38.2 again suggesting the up cycle is
strong.=20=20

=20

The last monthly candle is blue closing above the last fractal low along
with a green M bar suggesting resumption of the D leg.

=20

The lower A =3D Acceleration indicator traces a CND at the B high, introduc=
ing
the BC leg of the Gartley pattern structure.  Subsequently a CPD is traced
at the low of leg C, suggesting the commencement of the CD leg.  Later and
importantly the A indicator traces a RPD at the far right edge of this char=
t
suggesting the up cycle has resumed.  The last A bar is green in agreement
with M indicator.

=20

WEEKLY;

=20

Fractal lows at 1 and lower 2 mark a CPD in the M and A indicators.  1a and
higher 2 lows identify a RPD in the 8 SMA indicator referred to below.
Higher lows between 3 to7 compared to 2 lower low  mark repeat RPDs in the =
A
indicator.  8 and higher 9 fractal highs mark a CND in the A indicator.
Lows 7 and lower 10 mark another CPD traced by 8 SMA.  9 and 11 lower high
mark an active RND in the A indicator.  This most recent negative divergenc=
e
occurs in an uptrend.  Price may be expected to retrace in the daily period
but does not suggest a major trend reversal.  Trades against the uptrend ar=
e
higher risk.  Daily and shorter time frames provide additional insight into
this expected retracement.

=20

The first Fibonacci begins at the low to the high measuring the strength of
the up cycle.  This cycle is a part of the D leg in the monthly period.  Th=
e
monthly study indicated no candle close below 38.2.  This weekly study show=
s
candle close between 38.2 and 50.  The longer study result is the more
reliable.  The behavior of long term traders who control the market are
observed in the monthly period.  The last retracement in the weekly shows
fractal lows (multiple) below the lower SDC line and suggests price will
move toward the center line.

=20

Fractal low at 1.7230 begins the AB leg in this period.  At that point on
the price chart 8 SMA identifies and important RPD as marked (1a compared t=
o
higher 2).  At this same point both M and A indicators trace a CPDs a
different type divergence.  This event marks a reversal of trend and
furthermore identifies the point at which the up cycle has resumed.  The
double different divergences is the most important event in trend analysis.
This same dual type divergences also occurred in the monthly period though
not marked on the chart.  This same type divergences will be found and
identified in subsequent smaller time periods in this trend study.

=20

The B high(9) is identified when the A indicator traces a CND marked on
chart.  Subsequently A indicator traces a RPD at M indicator leg C low(10).
Fractal lows are used to locate RPDs(3 to7 and 10).  Compare fractal low at
C (10) with the previous lower fractal low marked on chart (5).  At those
points the A indicator low value was lower when compared to the A value
previously mentioned.  Also there is a CPD in the A indicator at C leg low.


=20

Both M and A last bars are green and above their respective zero lines
suggesting higher price.  The last three candles are blue with no lower
wicks also suggesting higher price.  However as previously noted there is a
RND traced by the A indicator (9 vs. 11) which suggests a retracement
against the longer term uptrend.

=20

DAILY;

=20

An AB=3DCD down cycle pattern is marked, the end of which is a buy conditio=
n.
Another 8 SMA RPD like those in the larger periods is noted at the beginnin=
g
of a new up cycle.  Also the M and A indicators trace a CPD as noted.  As
observed in the weekly period, the double different positive divergences  i=
n
this daily period identify the end of a downtrend and the beginning of an
uptrend.

=20

M indicator marks A and B leg, with bars above zero.  The A indicator has
declining values as M values increase suggesting lost of strength of the
uptrend and probable retracement.  Last A and M bars are red and A indicato=
r
near its zero line.  This condition in the daily confirms the RND identifie=
d
previously in the weekly period.  The last candle is blue.  Daily traders
often wait for a red candle with A indicator below zero for a short.  M bar=
s
will likely stay above zero although red during the anticipated retracement=
The 4 hour chart offers further specific information regarding retracement.

=20

4 HOUR;

=20

The M indicator traces two alternate AB=3DCD patterns.  One count suggests =
the
top of D the other top of B either one of which suggests a sell condition
and lower price.  M values are declining and the last bar is red near its
zero line.  The A indicator is red and below its zero line.  Red doji
candles are present.  4 hour traders wait until M values fall below zero fo=
r
a short.=20=20

=20

Historical divergences are noted.=20=20

=20

Comments;

=20

M, A and 8 SMA indicators  provide important different divergences which
accurately identify trend change and retracements.

=20

Monthly and weekly Fibonacci studies  suggest price is in a strong uptrend.
Trades short against this trend are higher risk and are often avoided.  Use
of A indicator RPDs as above demonstrated offer opportunities to join a
strong uptrend when in the AB leg or CD legs as identifies by the M
indicator.  The principals mentioned apply to all time frames traded.

=20

Loren

=20

=20

=20

=20

=20

=20

=20

=20

=20

=20


No virus found in this outgoing message.
Checked by AVG.=20
Version: 7.5.519 / Virus Database: 269.21.7/1329 - Release Date: 3/14/2008
12:33 PM
=20
=20=20=20=20=20=20=20=20

------=_NextPart_001_0025_01C886A9.545E4B80
Content-Type: text/html; charset=windows-1250
Content-Transfer-Encoding: 7bit


<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">
<html>
<head>
</head>




<body style="background-color: #ffffff;">

<!--~-|**|PrettyHtmlStartT|**|-~-->
<div id="ygrp-mlmsg" style="width:655px; position:relative;">
<div id="ygrp-msg" style="width: 470px; margin:0; padding:0 25px 0 0; float:left; z-index:1;">
<!--~-|**|PrettyHtmlEndT|**|-~-->

    <div id="ygrp-text">
            <p>





<div class="Section1">

<p class="MsoNormal">Four time period charts are attached which relate to a
longer term study of trend.&nbsp; The technician may well use four shorter
periods for specific trading activity, nevertheless a longer perspective of
trend is important.&nbsp; This study relates to use of the Gartley AB=CD
pattern structure and divergences in each period.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The charts use MACD_Colored_<wbr>v105 in two different
forms.&nbsp; These indicators are similar to AO and AC indicators developed by
Dr. Williams.&nbsp; William&#8217;s fractals also appear on charts and are used
to identify appropriate lows and highs for divergence purposes.&nbsp; Standard
Deviation trend lines are placed on the charts by the technician at appropriate
locations.&nbsp; Fibonacci retracement studies are also placed by the technician.&nbsp;
<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">MONTHLY;<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The first Fibonacci study starts at the low and ends at the
high point B and measure the strength of an up cycle.&nbsp; No candle closed
below 38.2 suggesting the uptrend was strong with an ultimate high of 2.2539 (A
to B added to C low @ 1.7047).<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The upper M = momentum indicator identifies pertinent AB=CD
pattern structure in this period.&nbsp; Points A and B mark the 1<sup>st</sup>
leg up.&nbsp; The M indicator traces a CND at B high.&nbsp; Red bars and
candles follow the BC corrective leg fractal low at C.&nbsp; This was a
Fibonacci 38.2 retracement near the lower SDC line.&nbsp; Thereafter and
currently the CD leg has commenced.&nbsp; This leg is often extended (greater
than the AB leg).&nbsp; Presently the last bar is green above the zero
line.&nbsp; The previous red bars above zero indicate retracement in the
developing D leg high.&nbsp; <o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The M and A indicators trace a RPD at C low suggesting
continuation of the up cycle.&nbsp; This divergence only occurs in an up cycle
and is the most reliable of divergences.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The second Fibonacci study measures the strength of the CD
leg currently in progress.&nbsp; Price has retraced to 38.2 again suggesting
the up cycle is strong.&nbsp; <o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The last monthly candle is blue closing above the last
fractal low along with a green M bar suggesting resumption of the D leg.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The lower A = Acceleration indicator traces a CND at the B
high, introducing the BC leg of the Gartley pattern structure.&nbsp;
Subsequently a CPD is traced at the low of leg C, suggesting the commencement
of the CD leg.&nbsp; Later and importantly the A indicator traces a RPD at the
far right edge of this chart suggesting the up cycle has resumed.&nbsp; The
last A bar is green in agreement with M indicator.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">WEEKLY;<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Fractal lows at 1 and lower 2 mark a CPD in the M and A
indicators.&nbsp; 1a and higher 2 lows identify a RPD in the 8 SMA indicator
referred to below.&nbsp; Higher lows between 3 to7 compared to 2 lower low &nbsp;mark
repeat RPDs in the A indicator.&nbsp; 8 and higher 9 fractal highs mark a CND
in the A indicator.&nbsp; Lows 7 and lower 10 mark another CPD traced by 8
SMA.&nbsp; 9 and 11 lower high mark an active RND in the A indicator.&nbsp;
This most recent negative divergence occurs in an uptrend.&nbsp; Price may be
expected to retrace in the daily period but does not suggest a major trend
reversal.&nbsp; Trades against the uptrend are higher risk.&nbsp; Daily and
shorter time frames provide additional insight into this expected retracement.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The first Fibonacci begins at the low to the high measuring
the strength of the up cycle.&nbsp; This cycle is a part of the D leg in the
monthly period.&nbsp; The monthly study indicated no candle close below
38.2.&nbsp; This weekly study shows candle close between 38.2 and 50.&nbsp; The
longer study result is the more reliable.&nbsp; The behavior of long term
traders who control the market are observed in the monthly period.&nbsp; The
last retracement in the weekly shows fractal lows (multiple) below the lower
SDC line and suggests price will move toward the center line.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Fractal low at 1.7230 begins the AB leg in this
period.&nbsp; At that point on the price chart 8 SMA identifies and important
RPD as marked (1a compared to higher 2).&nbsp; At this same point both M and A
indicators trace a CPDs a different type divergence.&nbsp; This event marks a
reversal of trend and furthermore identifies the point at which the up cycle
has resumed.&nbsp; The double different divergences is the most important event
in trend analysis.&nbsp; This same dual type divergences also occurred in the
monthly period though not marked on the chart.&nbsp; This same type divergences
will be found and identified in subsequent smaller time periods in this trend
study.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The B high(9) is identified when the A indicator traces a
CND marked on chart.&nbsp; Subsequently A indicator traces a RPD at M indicator
leg C low(10).&nbsp; Fractal lows are used to locate RPDs(3 to7 and 10).&nbsp;
Compare fractal low at C (10) with the previous lower fractal low marked on
chart (5).&nbsp; At those points the A indicator low value was lower when
compared to the A value previously mentioned.&nbsp; Also there is a CPD in the
A indicator at C leg low.&nbsp; <o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Both M and A last bars are green and above their respective
zero lines suggesting higher price.&nbsp; The last three candles are blue with
no lower wicks also suggesting higher price.&nbsp; However as previously noted
there is a RND traced by the A indicator (9 vs. 11) which suggests a retracement
against the longer term uptrend.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">DAILY;<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">An AB=CD down cycle pattern is marked, the end of which is a
buy condition.&nbsp; Another 8 SMA RPD like those in the larger periods is
noted at the beginning of a new up cycle.&nbsp; Also the M and A indicators
trace a CPD as noted.&nbsp; As observed in the weekly period, the double
different positive divergences&nbsp; in this daily period identify the end of a
downtrend and the beginning of an uptrend.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">M indicator marks A and B leg, with bars above zero.&nbsp; The
A indicator has declining values as M values increase suggesting lost of strength
of the uptrend and probable retracement.&nbsp; Last A and M bars are red and A
indicator near its zero line.&nbsp; This condition in the daily confirms the
RND identified previously in the weekly period.&nbsp; The last candle is
blue.&nbsp; Daily traders often wait for a red candle with A indicator below
zero for a short.&nbsp; M bars will likely stay above zero although red during
the anticipated retracement.&nbsp; The 4 hour chart offers further specific
information regarding retracement.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">4 HOUR;<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">The M indicator traces two alternate AB=CD patterns.&nbsp;
One count suggests the top of D the other top of B either one of which suggests
a sell condition and lower price.&nbsp; M values are declining and the last bar
is red near its zero line.&nbsp; The A indicator is red and below its zero
line.&nbsp; Red doji candles are present.&nbsp; 4 hour traders wait until M
values fall below zero for a short.&nbsp; <o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Historical divergences are noted.&nbsp; <o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Comments;<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">M, A and 8 SMA indicators &nbsp;provide important different
divergences which accurately identify trend change and retracements.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Monthly and weekly Fibonacci studies &nbsp;suggest price is
in a strong uptrend.&nbsp; Trades short against this trend are higher risk and
are often avoided.&nbsp; Use of A indicator RPDs as above demonstrated offer
opportunities to join a strong uptrend when in the AB leg or CD legs as
identifies by the M indicator.&nbsp; The principals mentioned apply to all time
frames traded.<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal">Loren<o></o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

<p class="MsoNormal"><o>&nbsp;</o></p>

</div>




<BR>

<P><FONT SIZE="2">No virus found in this outgoing message.<BR>
Checked by AVG.<BR>
Version: 7.5.519 / Virus Database: 269.21.7/1329 - Release Date: 3/14/2008 12:33 PM<BR>
</FONT> </P>

<P><FONT SIZE="2" FACE="Arial">       </FONT> </P>
</p>
    </div>  

    <!--~-|**|PrettyHtmlStart|**|-~-->
    <span width="1" style="color: white;">__._,_.___</span>
    <!-- Start the section with Message In topic -->
    <div id="ygrp-actbar">
              <span class="left">
          <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/message/78618;_ylc=X3oDMTM3NWZ0dDI0BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAM3ODYxOARzZWMDZnRyBHNsawN2dHBjBHN0aW1lAzEyMDU2MDU5MjkEdHBjSWQDNzg2MTg-">
            Messages in this topic          </a> (<span class="bld">1</span>)
        </span>
        <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/post;_ylc=X3oDMTJyMDZsamFmBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAM3ODYxOARzZWMDZnRyBHNsawNycGx5BHN0aW1lAzEyMDU2MDU5Mjk-?act=reply&messageNum=78618">
          <span class="bld">
            Reply          </span> (via web post)
        </a>  | 
        <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/post;_ylc=X3oDMTJmc2trNTNlBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNudHBjBHN0aW1lAzEyMDU2MDU5Mjk-" class="bld">
          Start a new topic        </a>
          </div> 
    <!-------     Start Nav Bar  ------>
    <!-- |**|begin egp html banner|**| -->
    <div id="ygrp-vitnav">
                <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/messages;_ylc=X3oDMTJmZTJmN25hBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNtc2dzBHN0aW1lAzEyMDU2MDU5Mjk-">Messages</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/files;_ylc=X3oDMTJnNTRldTJwBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNmaWxlcwRzdGltZQMxMjA1NjA1OTI5">Files</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/photos;_ylc=X3oDMTJmM2F2ajE3BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNwaG90BHN0aW1lAzEyMDU2MDU5Mjk-">Photos</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/links;_ylc=X3oDMTJnZXUyZnVjBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNsaW5rcwRzdGltZQMxMjA1NjA1OTI5">Links</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/database;_ylc=X3oDMTJkNjkxczlzBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNkYgRzdGltZQMxMjA1NjA1OTI5">Database</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/polls;_ylc=X3oDMTJnOHJka21hBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNwb2xscwRzdGltZQMxMjA1NjA1OTI5">Polls</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/members;_ylc=X3oDMTJmZ2NnbzBvBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNtYnJzBHN0aW1lAzEyMDU2MDU5Mjk-">Members</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/calendar;_ylc=X3oDMTJldWoyM2phBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNjYWwEc3RpbWUDMTIwNTYwNTkyOQ--">Calendar</a>  
    </div>  
    <!-- |**|end egp html banner|**| -->

                <div id="ygrp-grft">
                  
<!-- |**|begin egp html banner|**| -->

          For archives of Experts and Indicators from the MetaTrader Experts and Indicators Group<BR>
See <a href="http://www.forexmt4.com/">http://www.forexmt4.com/</a> or <a href="http://www.lightpatch.com/forex">http://www.lightpatch.com/forex</a><BR>
          
<!-- |**|end egp html banner|**| -->

              </div>
    
    <!-- yahoo logo -->
    <!-- |**|begin egp html banner|**| -->
    <div id="ygrp-ft">
      <a href="http://groups.yahoo.com/;_ylc=X3oDMTJlNGE4MjFkBF9TAzk3NDc2NTkwBGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNnZnAEc3RpbWUDMTIwNTYwNTkyOQ--">
      <img src="http://us.i1.yimg.com/us.yimg.com/i/yg/img/logo/ma_grp_160.gif" height="15" width="106" border="0" alt="Yahoo! Groups"></a> <br>
      <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/join;_ylc=X3oDMTJndGExN2l0BF9TAzk3NDc2NTkwBGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNzdG5ncwRzdGltZQMxMjA1NjA1OTI5">Change settings via the Web</a> (Yahoo! ID required) <br>
      Change settings via email: <a href="mailto:MetaTrader_Experts_and_Indicators-digest@yahoogroups.com?subject=Email Delivery: Digest">Switch delivery to Daily Digest</a> | <a href = "mailto:MetaTrader_Experts_and_Indicators-traditional@yahoogroups.com?subject=Change Delivery Format: Traditional">Switch format to Traditional</a> <br>

      <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators;_ylc=X3oDMTJlbWtmc3ZzBF9TAzk3NDc2NTkwBGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNocGYEc3RpbWUDMTIwNTYwNTkyOQ--">
        Visit Your Group 
      </a> |
      <a href="http://docs.yahoo.com/info/terms/">
        Yahoo! Groups Terms of Use      </a> |
      <a href="mailto:MetaTrader_Experts_and_Indicators-unsubscribe@yahoogroups.com?subject=">
        Unsubscribe      </a> 
    </div>     <!-- |**|end egp html banner|**| -->
  </div> <!-- ygrp-msg -->

  
  <!-- Sponsor -->
  <!-- |**|begin egp html banner|**| -->
  <div id="ygrp-sponsor" style="width:160px; float:right; clear:none; margin:0 0 25px 0; background:white;">
    <!-- Network content -->
    
<!-- Start Recommendations -->
<div id="ygrp-reco">
     </div>
<!-- End Recommendations -->

	    <!-- Start vitality -->
	    <div id="ygrp-vital">
	      		<div id="vithd">Recent Activity</div>
		<ul style="list-style-type:none; padding: 0; margin: 2px 0;">
		        <li style="clear: both;">
      <div class="ct" style="float: right;"><span style="display:none">&nbsp;</span>36</div>
      <div class="cat"><a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/members;_ylc=X3oDMTJnamM1YnV0BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2bWJycwRzdGltZQMxMjA1NjA1OTI5">New Members</a></div>
    </li>
  
		    
		    
		    
		        <li style="clear: both;">
      <div class="ct" style="float: right;"><span style="display:none">&nbsp;</span>5</div>
      <div class="cat"><a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/files;_ylc=X3oDMTJoZDRsdGhoBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2ZmlsZXMEc3RpbWUDMTIwNTYwNTkyOQ--">New Files</a></div>
    </li>
  
		    
		</ul>
	      	      <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators;_ylc=X3oDMTJmZjQ0MWlrBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2Z2hwBHN0aW1lAzEyMDU2MDU5Mjk-">
		Visit Your Group	      </a>
	    </div> 
	    	    	      
	    <!-- Network content -->
	    	          <div id="nc">
              <div class="ad">
                      <div id="hd1">Yahoo! Finance</div> 
<p><a href="http://us.ard.yahoo.com/SIG=13o4rplrq/M=493064.12016257.12445664.8674578/D=groups/S=1705001780:NC/Y=YAHOO/EXP=1205613129/L=/B=KKswBNFJq28-/J=1205605929645679/A=4507179/R=0/SIG=12de4rskk/*http://us.rd.yahoo.com/evt=50284/*http://finance.yahoo.com/personal-finance">It's Now Personal</a></p> 
<p>Guides, news,</p> 
<p>advice & more.</p>                   </div>
                    <div class="ad">
                      <div id="hd1">Drive Traffic</div>
<p><a href="http://us.ard.yahoo.com/SIG=13or5t3b5/M=493064.12016255.12445662.8674578/D=groups/S=1705001780:NC/Y=YAHOO/EXP=1205613129/L=/B=KaswBNFJq28-/J=1205605929645679/A=4025338/R=0/SIG=12jnci1fd/*http://us.rd.yahoo.com/evt=44092/*http://searchmarketing.yahoo.com/srch/index.php">Sponsored Search</a></p>
<p>can help increase</p>
<p>your site traffic.</p>                  </div>
                    <div class="ad">
                      <div id="hd1">Y! Groups blog</div> 
<p><a href="http://us.ard.yahoo.com/SIG=13omipsrt/M=493064.12016258.12582637.8674578/D=groups/S=1705001780:NC/Y=YAHOO/EXP=1205613129/L=/B=KqswBNFJq28-/J=1205605929645679/A=5191955/R=0/SIG=112mhte3e/*http://www.ygroupsblog.com/blog/">the best source</a></p> 
<p>for the latest</p> 
<p>scoop on Groups.</p>                  </div>
          </div>
	    
	  </div> 	  <!-- |**|end egp html banner|**| -->
	  <div style="clear:both; color: #FFF; font-size:1px;">.</div>
	</div> 		  <img src="http://geo.yahoo.com/serv?s=97359714/grpId=12111071/grpspId=1705001780/msgId=78618/stime=1205605929/nc1=4507179/nc2=4025338/nc3=5191955" width="1" height="1"> <br>
	
	<span  style="color: white;">__,_._,___</span>
	<!--~-|**|PrettyHtmlEnd|**|-~-->
	</body>
	<!--~-|**|PrettyHtmlStart|**|-~-->
	<head>
<style type="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="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="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-serif;}
	#ygrp-mlmsg pre, code {font:115% monospace;*font-size:100%;}
	#ygrp-mlmsg * {line-height:1.22em;}
	#ygrp-text{
	    font-family: Georgia;	
	}
	#ygrp-text p{
	    margin: 0 0 1em 0;
	}
	#ygrp-tpmsgs{
	    font-family: Arial;	
	    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; 
	  padding: 5px 0; 
	}
	#ygrp-mlmsg #logo{
	  padding-bottom: 10px;
	}

	#ygrp-reco {
	margin-bottom: 20px;
	padding: 0px;
	}
	#ygrp-reco #reco-head {
		font-weight: bold;
		color: #ff7900;
	}

	#reco-grpname{
        font-weight: bold;
        margin-top: 10px;
  	}
	#reco-category{
        	font-size: 77%;
	}
	#reco-desc{
        	font-size: 77%;
	}

	#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;  
	}
	#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_0025_01C886A9.545E4B80--

------=_NextPart_000_0024_01C886A9.545E4B80
Content-Type: image/png;
	name="4 hour.png"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="4 hour.png"
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------=_NextPart_000_0024_01C886A9.545E4B80
Content-Type: image/png;
	name="DAILY.png"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="DAILY.png"

iVBORw0KGgoAAAANSUhEUgAABPoAAANYCAIAAADSaxSQAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA
B3RJTUUH2AMOFRABsu5