X-Account-Key: account7
X-UIDL: 1294870284.25161.mail58
X-Mozilla-Status: 0011
X-Mozilla-Status2: 10000000
X-Mozilla-Keys:                                                                                 
Received: (qmail 25146 invoked by uid 78); 12 Jan 2011 22:11:23 -0000
Received: from unknown (HELO cloudmark1) (10.49.16.91)
  by 0 with SMTP; 12 Jan 2011 22:11:23 -0000
Return-Path: <sentto-12111071-115912-1294870279-ron=lightpatch.com@returns.groups.yahoo.com>
Received: from [98.136.45.89] ([98.136.45.89:47476] helo=n64d.bullet.mail.sp1.yahoo.com)
	by cm-mr16 (envelope-from <sentto-12111071-115912-1294870279-ron=lightpatch.com@returns.groups.yahoo.com>)
	(ecelerity 2.2.2.41 r(31179/31189)) with ESMTP
	id C2/61-11014-8072E2D4; Wed, 12 Jan 2011 17:11:22 -0500
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=yahoogroups.com; s=lima; t=1294870279; bh=BjfCft6zRMU1e6gqke/+dNGYLGDKQamYidxRx0zQGfg=; h=Received:Received:X-Yahoo-Newman-Id:X-Sender:X-Apparently-To:X-Received:X-Received:X-Received:X-Authority-Analysis:X-Cloudmark-Score:X-Received:To:References:In-Reply-To:Message-ID:X-Mailer:Thread-Index:Content-Language:X-Originating-IP:X-eGroups-Msg-Info:From:X-Yahoo-Profile:Sender:MIME-Version:Mailing-List:Delivered-To:List-Id:Precedence:List-Unsubscribe:Date:Subject:X-Yahoo-Newman-Property:Reply-To:Content-Type; b=epCJq90KYpbIeWMoY5xGBIb4/n6J//bwWvMk3ATo7SNjM0bjDC1mK8mAhTz4nVLFMYFkZ1FMOPbAsvIL3U0+fF0PtfnlK/O+X3PgOG1lDGmEXPiC2CYyMN5Lz1MKdKtv
DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=lima; d=yahoogroups.com;
	b=tQXEo0xCPynJCnvum0dI7UVPlT/6hLqQkBZufUjmSkZh3OL+IVHDlb0k2Kmtz10Eb5dOL/PI0lG3MSTg4Svwd5E5hJP1SiNSCLsMo0SSMiwAkIQ2pBNFfbq/KO/yRokz;
Received: from [69.147.65.147] by n64.bullet.mail.sp1.yahoo.com with NNFMP; 12 Jan 2011 22:11:19 -0000
Received: from [98.137.34.40] by t10.bullet.mail.sp1.yahoo.com with NNFMP; 12 Jan 2011 22:11:19 -0000
X-Yahoo-Newman-Id: 12111071-m115912
X-Sender: gmorlan@tampabay.rr.com
X-Apparently-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
X-Received: (qmail 65157 invoked from network); 12 Jan 2011 22:11:17 -0000
X-Received: from unknown (98.137.34.44)
  by m4.grp.sp2.yahoo.com with QMQP; 12 Jan 2011 22:11:17 -0000
X-Received: from unknown (HELO hrndva-omtalb.mail.rr.com) (71.74.56.122)
  by mta1.grp.sp2.yahoo.com with SMTP; 12 Jan 2011 22:11:17 -0000
X-Authority-Analysis: v=1.1 cv=UQuFHoD2CPQ248x8AXEbKhr4z9AaDqApxmEl3BhfZ64= c=1 sm=0 a=a8TWidOwhfUA:10 a=nS+zSNEA4jtGT2g3su/Nkw==:17 a=qV0mfD4mAAAA:8 a=CjxXgO3LAAAA:8 a=BrDiTsk0AAAA:8 a=pGLkceISAAAA:8 a=ayC55rCoAAAA:8 a=RGNkLmNzAAAA:20 a=4w9q55WaAAAA:8 a=qtUpi3J75Czv_wnHCPEA:9 a=7CMC5GK2R2DZzf2bWf0A:7 a=wRcvyqIG0HZwrzfMcUlhn6ABHwEA:4 a=QEXdDO2ut3YA:10 a=XPcco7QD6NIA:10 a=ao4RW71Vw8YA:10 a=rC2wZJ5BpNYA:10 a=-hJg1tCh9CgA:10 a=MSl-tDqOz04A:10 a=RG7EYZcm2tSTWhNe:21 a=LyT_S1pwQsyw7LtM:21 a=yMhMjlubAAAA:8 a=SSmOFEACAAAA:8 a=G_5s8neSAAAA:8 a=SKlqCemapEyFqn36T50A:9 a=XYqCILYk7V7rdk7TxAMA:7 a=bZvytYFOtV2CaZlr2HV8Nd1FsmMA:4 a=6q7Tk3Qq5PA1n3aI:21 a=RhyXcWreDWuWDgoR:21 a=rTSJcCD7nsGMpCmrEUoA:9 a=fB6AEhrpYvbt-osCgqwrlv-5ZFkA:4 a=HXjIzolwW10A:10 a=nS+zSNEA4jtGT2g3su/Nkw==:117
X-Cloudmark-Score: 0
X-Received: from [70.125.42.184] ([70.125.42.184:2579] helo=nunswen0cecy73)
	by hrndva-oedge02.mail.rr.com (envelope-from <gmorlan@tampabay.rr.com>)
	(ecelerity 2.2.3.46 r()) with ESMTP
	id 2D/AA-00963-CF62E2D4; Wed, 12 Jan 2011 22:11:12 +0000
To: <MetaTrader_Experts_and_Indicators@yahoogroups.com>
References: <000301cbb27d$7ef8ecd0$7ceac670$@rr.com> <22.42.02631.0E8ED2D4@cdptpa-omtalb.mail.rr.com>
In-Reply-To: <22.42.02631.0E8ED2D4@cdptpa-omtalb.mail.rr.com>
Message-ID: <004401cbb2a5$a3a468c0$eaed3a40$@rr.com>
X-Mailer: Microsoft Office Outlook 12.0
Thread-Index: Acux5kGEF0RKRZFWTFWRbv7MtvS99QAlqkHQAAC/NyAACCXewA==
Content-Language: en-us
X-Originating-IP: 71.74.56.122
X-eGroups-Msg-Info: 1:12:0:0:0
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 Jan 2011 17:11:17 -0500
Subject: RE: [MT_E and I] Re: DJIA 30, 1/12/11
X-Yahoo-Newman-Property: groups-email-ff-m
Reply-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Content-Type: multipart/mixed;
	boundary="----=_NextPart_000_0045_01CBB27B.BACE60C0"
X-Antivirus: AVG for E-mail 10.0.1191 [1435/3375]
X-AVG-ID: ID6B2A1818-AEF18E0

------=_NextPart_000_0045_01CBB27B.BACE60C0
Content-Type: multipart/alternative;
 boundary="----=_NextPart_001_0046_01CBB27B.BACE60C0"

------=_NextPart_001_0046_01CBB27B.BACE60C0
Content-Type: text/plain;
	charset="UTF-8"
Content-Transfer-Encoding: quoted-printable

Peter,

=20

I attach monthly DOW re EW count.   Please refer to my chart posted 10/13/1=
0, for the DOW.  At that time price was searching for the high  of correcti=
ve wave c/B.  Price in this current period is also still searching for that=
 high.

=20

Weekly Dow , S&P500, NASDQ all trace bearish price patterns.  Dow also trac=
es bearish  butterfly in the 1 hour period.  Multiple indexes price pattern=
s in the weekly argue rather convincingly that the high of Wave c/B is near=
  However this high has not yet been conclusively established based on obj=
ective price movement.  Price may yet move higher.

=20

Price/RSI has traced a classic EW cycle thus far with required divergences.=
   Wave A was an  impulse wave (5 down) wave B under way presently is corre=
ctive of Wave A and has 3 waves up to  high of B.  The pattern traced since=
 Wave 5 high is a classic ZigZag type correction.  The final C wave will al=
so be an impulse wave (5 down).  However C Wave may be extended into a doub=
le or triple ZigZag.=20=20

=20

A massive RSI CND exists between the left and right shoulders.  Ultimately =
this divergence will introduce Wave C.   DOW 4000 or lower, 2000?

=20

Loren

=20

From: MetaTrader_Experts_and_Indicators@yahoogroups.com [mailto:MetaTrader_=
Experts_and_Indicators@yahoogroups.com] On Behalf Of Peter Wu
Sent: Wednesday, January 12, 2011 12:46 PM
To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Subject: RE: [MT_E and I] Re: Future Plots with MT4

=20

=20=20

Loren,

=20

Could you comment on the SPX500 or DJ30 EW count? Bearish Gartley is showin=
g on both weekly and daily charts of SPX500 and DJ30, also showing on daily=
 chart of NDX. But it=E2=80=99s hard to believe from the market actions tha=
t we are near an intermediate term reversal of let C.

=20

Thanks,

Peter Wu

=20

  _____=20=20

From: MetaTrader_Experts_and_Indicators@yahoogroups.com [mailto:MetaTrader_=
Experts_and_Indicators@yahoogroups.com] On Behalf Of Loren Morlan
Sent: Wednesday, January 12, 2011 9:24 AM
To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Subject: RE: [MT_E and I] Re: Future Plots with MT4

=20

=20=20

I do not believe the indicator is accurate.  The Cable is in a longer term =
up cycle.  Shorts are much higher risk trades  in this market condition.  I=
 attach charts re this issue.

=20

Loren

=20

=20=20

=20

From: MetaTrader_Experts_and_Indicators@yahoogroups.com [mailto:MetaTrader_=
Experts_and_Indicators@yahoogroups.com] On Behalf Of Peter Henry
Sent: Tuesday, January 11, 2011 6:20 PM
To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Subject: [MT_E and I] Re: Future Plots with MT4

=20

=20=20

Hi Adil

=20

Showns a down trend again in excess of 100 pips

=20

Peter

=20


=20

=20

  _____=20=20

From: Adil Syed <adil_syed@yahoo.com>
To: Peter Henry <blackprinzze@yahoo.co.uk>
Sent: Mon, 10 January, 2011 1:25:24
Subject: Re: Future Plots with MT4



Hi Peter,=20

=20

Is it possible for you to send me the future_Plot Indicator - if you have n=
ot paid to own it ?

=20

Usually in this forum people do send each other indicators and EAs.

=20

Thanks

Adil.=20


--- On Sun, 1/9/11, Peter Henry <blackprinzze@yahoo.co.uk> wrote:


From: Peter Henry <blackprinzze@yahoo.co.uk>
Subject: Fw: [MT_E and I] Future Plots with MT4
To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Date: Sunday, January 9, 2011, 11:48 AM

=20=20

=20

=20

Hi=20

=20

Prediction for  GBPUSD Down  around 130 pip

=20

Thanks

=20

Peter=20

=20

  _____=20=20

From: ValTrg <valtrg@gmail.com>
To: blackprinzze@yahoo.co.uk
Sent: Sun, 9 January, 2011 19:33:19
Subject: Re: [MT_E and I] Future Plots with MT4

=EF=BB=BF=20

Hi=20

=20

Pleasee can you share your forecast indicator for MT4?

=20

Thanks.

=20

Valter

=20

----- Original Message -----=20

From: Peter Henry=20

To: MetaTrader_Experts_and_Indicators@yahoogroups.com=20

Sent: Sunday, January 09, 2011 4:48 PM

Subject: [MT_E and I] Future Plots with MT4

=20

=20=20

Hi

=20

I have have a forecast indicator that tries to forecast future direction of=
 the markets. The indicator works find as soon as new bar opens. What I wou=
ld like is to have the plot produced before the market opens, is there a wa=
y I can achieve this?

=20

Look at attached.=20

=20

Thanks for any information in advance=20

=20

Peter=20

=20

=20

=20




------=_NextPart_001_0046_01CBB27B.BACE60C0
Content-Type: text/html; charset=UTF-8
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: #fff;">
<span style=3D"display:none">&nbsp;</span>

<!--~-|**|PrettyHtmlStartT|**|-~-->
<div id=3D"ygrp-mlmsg" style=3D"position:relative;">
  <div id=3D"ygrp-msg" style=3D"z-index: 1;">
<!--~-|**|PrettyHtmlEndT|**|-~-->

    <div id=3D"ygrp-text" >
=20=20=20=20=20=20
=20=20=20=20=20=20
      <p><div class=3D"WordSection1"><p class=3D"MsoNormal"><font size=3D"4=
" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font-size:14.0pt;color:=
#1F497D;">Peter,<o></o></span></font></p><p class=3D"MsoNormal"><font size=
=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font-size:14.0pt;c=
olor:#1F497D;"><o>&nbsp;</o></span></font></p><p class=3D"MsoNormal"><font =
size=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font-size:14.0=
pt;color:#1F497D;">I attach monthly DOW re EW count.=C2=A0 =C2=A0Please ref=
er to my chart posted 10/13/10, for the DOW.=C2=A0 At that time price was s=
earching for the high =C2=A0of corrective wave c/B.=C2=A0 Price in this cur=
rent period is also still searching for that high.<o></o></span></font></p>=
<p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Calibri">=
<span style=3D"font-size:14.0pt;color:#1F497D;"><o>&nbsp;</o></span></font>=
</p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Calib=
ri"><span style=3D"font-size:14.0pt;color:#1F497D;">Weekly Dow , S&amp;P500=
, NASDQ all trace bearish price patterns.=C2=A0 Dow also traces bearish=C2=
=A0 butterfly in the 1 hour period.=C2=A0 Multiple indexes price patterns i=
n the weekly argue rather convincingly that the high of Wave c/B is near.=
=C2=A0 However this high has not yet been conclusively established based on=
 objective price movement.=C2=A0 Price may yet move higher.<o></o></span></=
font></p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"=
Calibri"><span style=3D"font-size:14.0pt;color:#1F497D;"><o>&nbsp;</o></spa=
n></font></p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=
=3D"Calibri"><span style=3D"font-size:14.0pt;color:#1F497D;">Price/RSI has =
traced a classic EW cycle thus far with required divergences.=C2=A0 =C2=A0W=
ave A was an=C2=A0 impulse wave (5 down) wave B under way presently is corr=
ective of Wave A and has 3 waves up to=C2=A0 high of B.=C2=A0 The pattern t=
raced since Wave 5 high is a classic ZigZag type correction.=C2=A0 The fina=
l C wave will also be an impulse wave (5 down).=C2=A0 However C Wave may be=
 extended into a double or triple ZigZag.=C2=A0 <o></o></span></font></p><p=
 class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Calibri"><s=
pan style=3D"font-size:14.0pt;color:#1F497D;"><o>&nbsp;</o></span></font></=
p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Calibri=
"><span style=3D"font-size:14.0pt;color:#1F497D;">A massive RSI CND exists =
between the left and right shoulders.=C2=A0 Ultimately this divergence will=
 introduce Wave C. =C2=A0=C2=A0DOW 4000 or lower, 2000?<o></o></span></font=
></p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Cali=
bri"><span style=3D"font-size:14.0pt;color:#1F497D;"><o>&nbsp;</o></span></=
font></p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"=
Calibri"><span style=3D"font-size:14.0pt;color:#1F497D;">Loren<o></o></span=
></font></p><p class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=
=3D"Calibri"><span style=3D"font-size:14.0pt;color:#1F497D;"><o>&nbsp;</o><=
/span></font></p><div><div style=3D"border-top:solid #B5C4DF 1.0pt;"><p cla=
ss=3D"MsoNormal"><b><font size=3D"2" face=3D"Tahoma"><span style=3D"font-si=
ze:10.0pt;font-weight:bold;">From:</span></font></b><font size=3D"2" face=
=3D"Tahoma"><span style=3D"font-size:10.0pt;"> MetaTrader_Experts_and_Indic=
ators@yahoogroups.com [mailto:MetaTrader_Experts_and_Indicators@yahoogroups=
com] <b><span style=3D"font-weight:bold;">On Behalf Of </span></b>Peter Wu=
<br><b><span style=3D"font-weight:bold;">Sent:</span></b> Wednesday, Januar=
y 12, 2011 12:46 PM<br><b><span style=3D"font-weight:bold;">To:</span></b> =
MetaTrader_Experts_and_Indicators@yahoogroups.com<br><b><span style=3D"font=
-weight:bold;">Subject:</span></b> RE: [MT_E and I] Re: Future Plots with M=
T4<o></o></span></font></p></div></div><p class=3D"MsoNormal"><font size=3D=
"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;"><o>&nbsp;</o=
></span></font></p><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times Ne=
w Roman"><span style=3D"font-size:12.0pt;">&nbsp; <o></o></span></font></p>=
<div id=3D"ygrp-mlmsg"><div id=3D"ygrp-msg"><div id=3D"ygrp-text"><div><p c=
lass=3D"MsoNormal"><font size=3D"1" color=3D"navy" face=3D"Arial"><span sty=
le=3D"font-size:9.0pt;color:navy;">Loren,</span></font><o></o></p><p class=
=3D"MsoNormal"><font size=3D"1" color=3D"navy" face=3D"Arial"><span style=
=3D"font-size:9.0pt;color:navy;">&nbsp;</span></font><o></o></p><p class=3D=
"MsoNormal"><font size=3D"1" color=3D"navy" face=3D"Arial"><span style=3D"f=
ont-size:9.0pt;color:navy;">Could you comment on the SPX500 or DJ30 EW coun=
t? Bearish Gartley is showing on both weekly and daily charts of SPX500 and=
 DJ30, also showing on daily chart of NDX. But it=E2=80=99s hard to believe=
 from the market actions that we are near an intermediate term reversal of =
let C.</span></font><o></o></p><p class=3D"MsoNormal"><font size=3D"1" colo=
r=3D"navy" face=3D"Arial"><span style=3D"font-size:9.0pt;color:navy;">&nbsp=
;</span></font><o></o></p><p class=3D"MsoNormal"><font size=3D"1" color=3D"=
navy" face=3D"Arial"><span style=3D"font-size:9.0pt;color:navy;">Thanks,</s=
pan></font><o></o></p><p class=3D"MsoNormal"><font size=3D"1" color=3D"navy=
" face=3D"Arial"><span style=3D"font-size:9.0pt;color:navy;">Peter Wu</span=
></font><o></o></p><p class=3D"MsoNormal"><font size=3D"1" color=3D"navy" f=
ace=3D"Arial"><span style=3D"font-size:9.0pt;color:navy;">&nbsp;</span></fo=
nt><o></o></p><div><div class=3D"MsoNormal" align=3D"center" style=3D"text-=
align:center;"><font size=3D"3" face=3D"SimSun"><span style=3D"font-size:12=
0pt;font-family:&quot;SimSun&quot;,&quot;serif&quot;;"><hr size=3D"2" widt=
h=3D"100%" align=3D"center"></span></font></div><p class=3D"MsoNormal"><b><=
font size=3D"2" face=3D"Tahoma"><span style=3D"font-size:10.0pt;font-weight=
:bold;">From:</span></font></b><font size=3D"2" face=3D"Tahoma"><span style=
=3D"font-size:10.0pt;"> MetaTrader_Experts_and_Indicators@yahoogroups.com [=
mailto:MetaTrader_Experts_and_Indicators@yahoogroups.com] <b><span style=3D=
"font-weight:bold;">On Behalf Of </span></b>Loren Morlan<br><b><span style=
=3D"font-weight:bold;">Sent:</span></b> Wednesday, January 12, 2011 9:24 AM=
<br><b><span style=3D"font-weight:bold;">To:</span></b> MetaTrader_Experts_=
and_Indicators@yahoogroups.com<br><b><span style=3D"font-weight:bold;">Subj=
ect:</span></b> RE: [MT_E and I] Re: Future Plots with MT4</span></font><o>=
</o></p></div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times New Rom=
an"><span style=3D"font-size:12.0pt;">&nbsp;</span><o></o></font></p><p cla=
ss=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><span style=3D"f=
ont-size:12.0pt;">&nbsp;</span></font><font face=3D"SimSun"><span style=3D"=
font-family:&quot;SimSun&quot;,&quot;serif&quot;;"> </span></font><o></o></=
p><div id=3D"ygrp-mlmsg"><div id=3D"ygrp-msg"><div id=3D"ygrp-text"><div><p=
 class=3D"MsoNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Calibri"><s=
pan style=3D"font-size:14.0pt;color:#1F497D;">I do not believe the indicato=
r is accurate.&nbsp; The Cable is in a longer term up cycle.&nbsp; Shorts a=
re much higher risk trades&nbsp; in this market condition.&nbsp; I attach c=
harts re this issue.</span></font><o></o></p><p class=3D"MsoNormal"><font s=
ize=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font-size:14.0p=
t;color:#1F497D;">&nbsp;</span></font><o></o></p><p class=3D"MsoNormal"><fo=
nt size=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font-size:1=
4.0pt;color:#1F497D;">Loren</span></font><o></o></p><p class=3D"MsoNormal">=
<font size=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font-siz=
e:14.0pt;color:#1F497D;">&nbsp;</span></font><o></o></p><p class=3D"MsoNorm=
al"><font size=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D"font=
-size:14.0pt;color:#1F497D;">&nbsp; </span></font><o></o></p><p class=3D"Ms=
oNormal"><font size=3D"4" color=3D"#1f497d" face=3D"Calibri"><span style=3D=
"font-size:14.0pt;color:#1F497D;">&nbsp;</span></font><o></o></p><div><div =
style=3D"border-top:solid #B5C4DF 1.0pt;"><p class=3D"MsoNormal"><b><font s=
ize=3D"2" face=3D"Tahoma"><span style=3D"font-size:10.0pt;font-weight:bold;=
">From:</span></font></b><font size=3D"2" face=3D"Tahoma"><span style=3D"fo=
nt-size:10.0pt;"> MetaTrader_Experts_and_Indicators@yahoogroups.com [mailto=
:MetaTrader_Experts_and_Indicators@yahoogroups.com] <b><span style=3D"font-=
weight:bold;">On Behalf Of </span></b>Peter Henry<br><b><span style=3D"font=
-weight:bold;">Sent:</span></b> Tuesday, January 11, 2011 6:20 PM<br><b><sp=
an style=3D"font-weight:bold;">To:</span></b> MetaTrader_Experts_and_Indica=
tors@yahoogroups.com<br><b><span style=3D"font-weight:bold;">Subject:</span=
></b> [MT_E and I] Re: Future Plots with MT4</span></font><o></o></p></div>=
</div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><spa=
n style=3D"font-size:12.0pt;">&nbsp;<o></o></span></font></p><p class=3D"Ms=
oNormal"><font size=3D"3" face=3D"Times New Roman"><span style=3D"font-size=
:12.0pt;">&nbsp; <o></o></span></font></p><div id=3D"ygrp-mlmsg"><div id=3D=
"ygrp-msg"><div id=3D"ygrp-text"><div><div><p class=3D"MsoNormal"><font siz=
e=3D"3" face=3D"Tahoma"><span style=3D"font-size:12.0pt;">Hi Adil</span></f=
ont><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"T=
ahoma"><span style=3D"font-size:12.0pt;">&nbsp;</span></font><o></o></p></d=
iv><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Tahoma"><span style=
=3D"font-size:12.0pt;">Showns a down trend again in excess of 100 pips</spa=
n></font><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=
=3D"Tahoma"><span style=3D"font-size:12.0pt;">&nbsp;</span></font><o></o></=
p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Tahoma"><span =
style=3D"font-size:12.0pt;">Peter</span></font><o></o></p></div><div><p cla=
ss=3D"MsoNormal"><font size=3D"3" face=3D"Tahoma"><span style=3D"font-size:=
12.0pt;">&nbsp;</span></font><o></o></p></div><div><p class=3D"MsoNormal"><=
font size=3D"3" face=3D"Tahoma"><span style=3D"font-size:12.0pt;"><br>&nbsp=
;</span></font><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3=
" face=3D"Tahoma"><span style=3D"font-size:12.0pt;">&nbsp;</span></font><o>=
</o></p><div style=3D"border-left:solid #1010FF 1.5pt;"><div class=3D"MsoNo=
rmal" align=3D"center" style=3D"text-align:center;"><font size=3D"2" face=
=3D"Tahoma"><span style=3D"font-size:10.0pt;"><hr size=3D"1" width=3D"100%"=
 align=3D"center"></span></font></div><p class=3D"MsoNormal"><b><font size=
=3D"2" face=3D"Tahoma"><span style=3D"font-size:10.0pt;font-weight:bold;">F=
rom:</span></font></b><font size=3D"2" face=3D"Tahoma"><span style=3D"font-=
size:10.0pt;"> Adil Syed &lt;adil_syed@yahoo.com&gt;<br><b><span style=3D"f=
ont-weight:bold;">To:</span></b> Peter Henry &lt;blackprinzze@yahoo.co.uk&g=
t;<br><b><span style=3D"font-weight:bold;">Sent:</span></b> Mon, 10 January=
, 2011 1:25:24<br><b><span style=3D"font-weight:bold;">Subject:</span></b> =
Re: Future Plots with MT4</span></font><o></o></p><table class=3D"MsoNormal=
Table" border=3D"0" cellspacing=3D"0" cellpadding=3D"0"><tr><td valign=3D"t=
op"><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><span =
style=3D"font-size:12.0pt;"><br>Hi Peter, <o></o></span></font></p><div><p =
class=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><span style=
=3D"font-size:12.0pt;">&nbsp;<o></o></span></font></p></div><div><p class=
=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><span style=3D"fon=
t-size:12.0pt;">Is it possible for you to send me the future_Plot Indicator=
 - if you have not paid to own it ?<o></o></span></font></p></div><div><p c=
lass=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><span style=3D=
"font-size:12.0pt;">&nbsp;<o></o></span></font></p></div><div><p class=3D"M=
soNormal"><font size=3D"3" face=3D"Times New Roman"><span style=3D"font-siz=
e:12.0pt;">Usually in this forum people do send each other indicators and E=
As.<o></o></span></font></p></div><div><p class=3D"MsoNormal"><font size=3D=
"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;">&nbsp;<o></o=
></span></font></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=
=3D"Times New Roman"><span style=3D"font-size:12.0pt;">Thanks<o></o></span>=
</font></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times=
 New Roman"><span style=3D"font-size:12.0pt;">Adil.&nbsp;<br><br><br>--- On=
 <b><span style=3D"font-weight:bold;">Sun, 1/9/11, Peter Henry <i><span sty=
le=3D"font-style:italic;">&lt;blackprinzze@yahoo.co.uk&gt;</span></i></span=
></b> wrote:<o></o></span></font></p><p class=3D"MsoNormal"><font size=3D"3=
" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;"><br>From: Pete=
r Henry &lt;blackprinzze@yahoo.co.uk&gt;<br>Subject: Fw: [MT_E and I] Futur=
e Plots with MT4<br>To: MetaTrader_Experts_and_Indicators@yahoogroups.com<b=
r>Date: Sunday, January 9, 2011, 11:48 AM<o></o></span></font></p><div id=
=3D"yiv762419967"><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times New=
 Roman"><span style=3D"font-size:12.0pt;">&nbsp; <o></o></span></font></p><=
div id=3D"yiv762419967ygrp-text"><div><div><p class=3D"MsoNormal"><font siz=
e=3D"3" face=3D"Tahoma"><span style=3D"font-size:12.0pt;">&nbsp;</span></fo=
nt><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Ta=
homa"><span style=3D"font-size:12.0pt;">&nbsp;</span></font><o></o></p><div=
 style=3D"border-left:solid #1010FF 1.5pt;"><div><div><p class=3D"MsoNormal=
"><font size=3D"3" face=3D"Tahoma"><span style=3D"font-size:12.0pt;">Hi </s=
pan></font><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" fa=
ce=3D"Tahoma"><span style=3D"font-size:12.0pt;">&nbsp;</span></font><o></o>=
</p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Tahoma"><spa=
n style=3D"font-size:12.0pt;">Prediction for &nbsp;GBPUSD Down&nbsp; around=
 130 pip</span></font><o></o></p></div><div><p class=3D"MsoNormal"><font si=
ze=3D"3" face=3D"Tahoma"><span style=3D"font-size:12.0pt;">&nbsp;</span></f=
ont><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"T=
ahoma"><span style=3D"font-size:12.0pt;">Thanks</span></font><o></o></p></d=
iv><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Tahoma"><span style=
=3D"font-size:12.0pt;">&nbsp;</span></font><o></o></p></div><div><p class=
=3D"MsoNormal"><font size=3D"3" face=3D"Tahoma"><span style=3D"font-size:12=
0pt;">Peter </span></font><o></o></p></div><div><p class=3D"MsoNormal"><fo=
nt size=3D"3" face=3D"Tahoma"><span style=3D"font-size:12.0pt;">&nbsp;</spa=
n></font><o></o></p><div style=3D"border-left:solid #1010FF 1.5pt;"><div cl=
ass=3D"MsoNormal" align=3D"center" style=3D"text-align:center;"><font size=
=3D"2" face=3D"Tahoma"><span style=3D"font-size:10.0pt;"><hr size=3D"1" wid=
th=3D"100%" align=3D"center"></span></font></div><p class=3D"MsoNormal"><b>=
<font size=3D"2" face=3D"Tahoma"><span style=3D"font-size:10.0pt;font-weigh=
t:bold;">From:</span></font></b><font size=3D"2" face=3D"Tahoma"><span styl=
e=3D"font-size:10.0pt;"> ValTrg &lt;valtrg@gmail.com&gt;<br><b><span style=
=3D"font-weight:bold;">To:</span></b> blackprinzze@yahoo.co.uk<br><b><span =
style=3D"font-weight:bold;">Sent:</span></b> Sun, 9 January, 2011 19:33:19<=
br><b><span style=3D"font-weight:bold;">Subject:</span></b> Re: [MT_E and I=
] Future Plots with MT4<br></span></font><br>=EF=BB=BF <o></o></p><div><p c=
lass=3D"MsoNormal"><font size=3D"2" face=3D"Arial"><span style=3D"font-size=
:10.0pt;">Hi </span></font><o></o></p></div><div><p class=3D"MsoNormal"><fo=
nt size=3D"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;">&n=
bsp;<o></o></span></font></p></div><div><p class=3D"MsoNormal"><font size=
=3D"2" face=3D"Arial"><span style=3D"font-size:10.0pt;">Pleasee can you sha=
re your forecast indicator for MT4?</span></font><o></o></p></div><div><p c=
lass=3D"MsoNormal"><font size=3D"3" face=3D"Times New Roman"><span style=3D=
"font-size:12.0pt;">&nbsp;<o></o></span></font></p></div><div><p class=3D"M=
soNormal"><font size=3D"2" face=3D"Arial"><span style=3D"font-size:10.0pt;"=
>Thanks.</span></font><o></o></p></div><div><p class=3D"MsoNormal"><font si=
ze=3D"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;">&nbsp;<=
o></o></span></font></p></div><div><p class=3D"MsoNormal"><font size=3D"2" =
face=3D"Arial"><span style=3D"font-size:10.0pt;">Valter</span></font><o></o=
></p></div><div><p class=3D"MsoNormal"><font size=3D"3" face=3D"Times New R=
oman"><span style=3D"font-size:12.0pt;">&nbsp;<o></o></span></font></p></di=
v><blockquote style=3D"border-left:solid black 1.5pt;"><div><p class=3D"Mso=
Normal"><font size=3D"2" face=3D"Arial"><span style=3D"font-size:10.0pt;">-=
---- Original Message ----- </span></font><o></o></p></div><div><p class=3D=
"MsoNormal" style=3D"background:#E4E4E4;"><b><font size=3D"2" face=3D"Arial=
"><span style=3D"font-size:10.0pt;font-weight:bold;">From:</span></font></b=
><font size=3D"2" face=3D"Arial"><span style=3D"font-size:10.0pt;"> Peter H=
enry </span></font><o></o></p></div><div><p class=3D"MsoNormal"><b><font si=
ze=3D"2" face=3D"Arial"><span style=3D"font-size:10.0pt;font-weight:bold;">=
To:</span></font></b><font size=3D"2" face=3D"Arial"><span style=3D"font-si=
ze:10.0pt;"> MetaTrader_Experts_and_Indicators@yahoogroups.com </span></fon=
t><o></o></p></div><div><p class=3D"MsoNormal"><b><font size=3D"2" face=3D"=
Arial"><span style=3D"font-size:10.0pt;font-weight:bold;">Sent:</span></fon=
t></b><font size=3D"2" face=3D"Arial"><span style=3D"font-size:10.0pt;"> Su=
nday, January 09, 2011 4:48 PM</span></font><o></o></p></div><div><p class=
=3D"MsoNormal"><b><font size=3D"2" face=3D"Arial"><span style=3D"font-size:=
10.0pt;font-weight:bold;">Subject:</span></font></b><font size=3D"2" face=
=3D"Arial"><span style=3D"font-size:10.0pt;"> [MT_E and I] Future Plots wit=
h MT4</span></font><o></o></p></div><div><p class=3D"MsoNormal"><font size=
=3D"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;">&nbsp;<o>=
</o></span></font></p></div><p class=3D"MsoNormal"><font size=3D"3" face=3D=
"Times New Roman"><span style=3D"font-size:12.0pt;">&nbsp; <o></o></span></=
font></p><div id=3D"yiv762419967ygrp-text"><div><div><p class=3D"MsoNormal"=
><font size=3D"3" color=3D"black" face=3D"Tahoma"><span style=3D"font-size:=
12.0pt;color:black;">Hi</span></font><o></o></p></div><div><p class=3D"MsoN=
ormal"><font size=3D"3" color=3D"black" face=3D"Tahoma"><span style=3D"font=
-size:12.0pt;color:black;">&nbsp;</span></font><o></o></p></div><div><p cla=
ss=3D"MsoNormal"><font size=3D"3" color=3D"black" face=3D"Tahoma"><span sty=
le=3D"font-size:12.0pt;color:black;">I have have a forecast indicator that =
tries to forecast future direction of the markets. The indicator works find=
 as soon as new bar opens. What I would like is to have the plot produced b=
efore the market opens, is there a way I can achieve this?</span></font><o>=
</o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" color=3D"black" =
face=3D"Tahoma"><span style=3D"font-size:12.0pt;color:black;">&nbsp;</span>=
</font><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" color=
=3D"black" face=3D"Tahoma"><span style=3D"font-size:12.0pt;color:black;">Lo=
ok at attached. </span></font><o></o></p></div><div><p class=3D"MsoNormal">=
<font size=3D"3" color=3D"black" face=3D"Tahoma"><span style=3D"font-size:1=
2.0pt;color:black;">&nbsp;</span></font><o></o></p></div><div><p class=3D"M=
soNormal"><font size=3D"3" color=3D"black" face=3D"Tahoma"><span style=3D"f=
ont-size:12.0pt;color:black;">Thanks for any information in advance </span>=
</font><o></o></p></div><div><p class=3D"MsoNormal"><font size=3D"3" color=
=3D"black" face=3D"Tahoma"><span style=3D"font-size:12.0pt;color:black;">&n=
bsp;</span></font><o></o></p></div><div><p class=3D"MsoNormal"><font size=
=3D"3" color=3D"black" face=3D"Tahoma"><span style=3D"font-size:12.0pt;colo=
r:black;">Peter </span></font><o></o></p></div></div><p class=3D"MsoNormal"=
><font size=3D"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;=
">&nbsp;<o></o></span></font></p></div></blockquote></div></div></div></div=
></div></div></div></div></div></td></tr></table><p class=3D"MsoNormal"><fo=
nt size=3D"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;">&n=
bsp;<o></o></span></font></p></div></div></div><p class=3D"MsoNormal"><font=
 size=3D"3" face=3D"Times New Roman"><span style=3D"font-size:12.0pt;">&nbs=
p;<o></o></span></font></p></div></div></div></div></div></div></div></div>=
</div><div><p class=3D"MsoNormal"><font size=3D"3" color=3D"white" face=3D"=
Times New Roman"><span style=3D"font-size:12.0pt;color:white;"><o></o></spa=
n></font></p></div></div></div></div></p>

    </div>
=20=20=20=20=20

    <!--~-|**|PrettyHtmlStart|**|-~-->
    <div style=3D"color: #fff; height: 0;">__._,_.___</div>

=20=20=20=20=20=20=20=20
=20=20
=20=20=20
    <div id=3D"ygrp-actbar" style=3D"clear: both; margin-bottom: 10px; whit=
e-space: nowrap; color: #666; padding-top: 15px;">
      <div>
        <a href=3D"mailto:gmorlan@tampabay.rr.com?subject=3DRE%3A%20%5BMT_E=
%20and%20I%5D%20Re%3A%20DJIA%2030%2C%201%2F12%2F11" style=3D"margin-right: =
0; padding-right: 0;">
	  Reply to <span style=3D"font-weight: 700;">sender</span></a> |
        <a href=3D"mailto:MetaTrader_Experts_and_Indicators@yahoogroups.com=
?subject=3DRE%3A%20%5BMT_E%20and%20I%5D%20Re%3A%20DJIA%2030%2C%201%2F12%2F1=
1">
	  Reply to <span style=3D"font-weight: 700;">group</span></a> |
        	  <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_=
Indicators/post;_ylc=3DX3oDMTJzcmZsaTBuBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcx=
BGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAMxMTU5MTIEc2VjA2Z0cgRzbGsDcnBseQRzdGltZQM=
xMjk0ODcwMjc5?act=3Dreply&messageNum=3D115912">Reply <span style=3D"font-we=
ight: 700;">via web post</span></a> |
            	<a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_an=
d_Indicators/post;_ylc=3DX3oDMTJmamQ5bmliBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMD=
cxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNudHBjBHN0aW1lAzEyOTQ4NzAyNzk-"=
 style=3D"font-weight: 700;">Start a New Topic</a>
      </div>

                <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts=
_and_Indicators/message/115859;_ylc=3DX3oDMTM5aWh1MTdxBF9TAzk3MzU5NzE0BGdyc=
ElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAMxMTU5MTIEc2VjA2Z0cgRzbGsD=
dnRwYwRzdGltZQMxMjk0ODcwMjc5BHRwY0lkAzExNTg1OQ--">Messages in this topic</a=
>
          (<span style=3D"font-weight: 700;">21</span>)
          </div>=20
<!------- Start Nav Bar ------>
<!-- |**|begin egp html banner|**| -->
<!-- |**|end egp html banner|**| -->

<!-- |**|begin egp html banner|**| -->
<div id=3D"ygrp-vital" style=3D"background-color: #e0ecee; font-family: Ver=
dana; font-size: 10px; margin-bottom: 10px; padding: 10px;">
      <span id=3D"vithd" style=3D"font-weight: bold; color: #333; text-tran=
sform: uppercase; ">Recent Activity:</span>

    <ul style=3D"list-style-type: none; margin: 0; padding: 0; display: inl=
ine;">
            <li style=3D"border-right: 1px solid #000; font-weight: 700; di=
splay: inline; padding: 0 5px; margin-left: 0;">
      <span class=3D"cat"><a href=3D"http://groups.yahoo.com/group/MetaTrad=
er_Experts_and_Indicators/members;_ylc=3DX3oDMTJnM2cyYjcxBF9TAzk3MzU5NzE0BG=
dycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2bWJycwRzdGltZ=
QMxMjk0ODcwMjc5?o=3D6" style=3D"text-decoration: none;">New Members</a></sp=
an>
      <span class=3D"ct" style=3D"color: #ff7900;">23</span>
    </li>
              <li style=3D"border-right: 1px solid #000; font-weight: 700; =
display: inline; padding: 0 5px; margin-left: 0;">
      <span class=3D"cat"><a href=3D"http://groups.yahoo.com/group/MetaTrad=
er_Experts_and_Indicators/spnew;_ylc=3DX3oDMTJnYXB1ZjBzBF9TAzk3MzU5NzE0BGdy=
cElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2cGhvdARzdGltZQM=
xMjk0ODcwMjc5" style=3D"text-decoration: none;">New Photos</a></span>
      <span class=3D"ct" style=3D"color: #ff7900;">1</span>
    </li>
                              <li style=3D"border-right: 1px solid #000; fo=
nt-weight: 700; display: inline; padding: 0 5px; margin-left: 0;">
      <span class=3D"cat"><a href=3D"http://groups.yahoo.com/group/MetaTrad=
er_Experts_and_Indicators/files;_ylc=3DX3oDMTJoMzM3dGYyBF9TAzk3MzU5NzE0BGdy=
cElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2ZmlsZXMEc3RpbWU=
DMTI5NDg3MDI3OQ--" style=3D"text-decoration: none;">New Files</a></span>
      <span class=3D"ct" style=3D"color: #ff7900;">4</span>
    </li>
              </ul>
=20=20=20=20
  <div style=3D"clear: both; padding-top: 2px; color: #1e66ae;">
    <a href=3D"http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicat=
ors;_ylc=3DX3oDMTJmNjV2Y2k1BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQD=
MTcwNTAwMTc4MARzZWMDdnRsBHNsawN2Z2hwBHN0aW1lAzEyOTQ4NzAyNzk-" style=3D"text=
-decoration: none;">Visit Your Group</a>
  </div>
</div>

      <div id=3D"ygrp-grfd" style=3D"font-family: Verdana; font-size: 12px;=
 padding: 15px 0;">
=20=20=20=20=20=20
<!-- |**|begin egp html banner|**| -->

      See <a href=3D"http://www.ForexMT4.com/mt_yahoo/">http://www.ForexMT4=
com/mt_yahoo/</a> for archives of Experts and Indicators from the MetaTrad=
er Experts and Indicators Group.<BR>
=20=20=20=20=20=20
<!-- |**|end egp html banner|**| -->

    </div>
=20=20
<div id=3D"ft" style=3D"font-family: Arial; font-size: 11px; margin-top: 5p=
x; padding: 0 2px 0 0; clear: both;">
  <a href=3D"http://groups.yahoo.com/;_ylc=3DX3oDMTJlZWRpaGxyBF9TAzk3NDc2NT=
kwBGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNnZnAEc3Rpb=
WUDMTI5NDg3MDI3OQ--" style=3D"float: left;"><img src=3D"http://l.yimg.com/a=
/i/us/yg/logo/us.gif" height=3D"15" width=3D"137" alt=3D"Yahoo! Groups" sty=
le=3D"border: 0;"/></a>
  <div style=3D"color: #747575; float: right;">Switch to: <a href=3D"mailto=
:MetaTrader_Experts_and_Indicators-traditional@yahoogroups.com?subject=3DCh=
ange Delivery Format: Traditional" style=3D"text-decoration: none;">Text-On=
ly</a>, <a href=3D"mailto:MetaTrader_Experts_and_Indicators-digest@yahoogro=
ups.com?subject=3DEmail Delivery: Digest" class=3D"margin-rt" style=3D"text=
-decoration: none;">Daily Digest</a> &bull; <a href=3D"mailto:MetaTrader_Ex=
perts_and_Indicators-unsubscribe@yahoogroups.com?subject=3DUnsubscribe" sty=
le=3D"text-decoration: none;">Unsubscribe</a> &bull; <a href=3D"http://docs=
yahoo.com/info/terms/" style=3D"text-decoration: none;">Terms of Use</a></=
div>
</div>

<!-- |**|end egp html banner|**| -->

  </div> <!-- ygrp-msg -->

  <!-- Sponsor -->
  <!-- |**|begin egp html banner|**| -->
  <div id=3D"ygrp-sponsor" style=3D"width:160px; float:right; clear:none; m=
argin:0 0 25px 0; background: #fff;">

<!-- Start Recommendations -->
<div id=3D"ygrp-reco">
     </div>
<!-- End Recommendations -->



  </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=3D12111071/grpsp=
Id=3D1705001780/msgId=3D115912/stime=3D1294870279/nc1=3D1/nc2=3D2/nc3=3D3" =
width=3D"1" height=3D"1"> <br>

<div style=3D"color: #fff; height: 0;">__,_._,___</div>
<!--~-|**|PrettyHtmlEnd|**|-~-->

</body>

<!--~-|**|PrettyHtmlStart|**|-~-->
<head>
  <style type=3D"text/css">
  <!--
  #ygrp-mkp {
  border: 1px solid #d8d8d8;
  font-family: Arial;
  margin: 10px 0;
  padding: 0 10px;
}

#ygrp-mkp hr {
  border: 1px solid #d8d8d8;
}

#ygrp-mkp #hd {
  color: #628c2a;
  font-size: 85%;
  font-weight: 700;
  line-height: 122%;
  margin: 10px 0;
}

#ygrp-mkp #ads {
  margin-bottom: 10px;
}

#ygrp-mkp .ad {
  padding: 0 0;
}

#ygrp-mkp .ad p {
  margin: 0;
}

#ygrp-mkp .ad a {
  color: #0000ff;
  text-decoration: none;
}
  #ygrp-sponsor #ygrp-lc {
  font-family: Arial;
}

#ygrp-sponsor #ygrp-lc #hd {
  margin: 10px 0px;
  font-weight: 700;
  font-size: 78%;
  line-height: 122%;
}

#ygrp-sponsor #ygrp-lc .ad {
  margin-bottom: 10px;
  padding: 0 0;
}

  a {
    color: #1e66ae;
  }

  #actions {
    font-family: Verdana;
    font-size: 11px;
    padding: 10px 0;
  }

  #activity {
    background-color: #e0ecee;
    float: left;
    font-family: Verdana;
    font-size: 10px;
    padding: 10px;
  }

  #activity span {
    font-weight: 700;
  }

  #activity span:first-child {
    text-transform: uppercase;
  }

  #activity span a {
    color: #5085b6;
    text-decoration: none;
  }

  #activity span span {
    color: #ff7900;
  }

  #activity span .underline {
    text-decoration: underline;
  }

  .attach {
    clear: both;
    display: table;
    font-family: Arial;
    font-size: 12px;
    padding: 10px 0;
    width: 400px;
  }

  .attach div a {
    text-decoration: none;
  }

  .attach img {
    border: none;
    padding-right: 5px;
  }

  .attach label {
    display: block;
    margin-bottom: 5px;
  }

  .attach label a {
    text-decoration: none;
  }
=20=20
  blockquote {
    margin: 0 0 0 4px;
  }

  .bold {
    font-family: Arial;
    font-size: 13px;
    font-weight: 700;
  }

  .bold a {
    text-decoration: none;
  }

  dd.last p a {
    font-family: Verdana;
    font-weight: 700;
  }

  dd.last p span {
    margin-right: 10px;
    font-family: Verdana;
    font-weight: 700;
  }

  dd.last p span.yshortcuts {
    margin-right: 0;
  }

  div.attach-table div div a {
    text-decoration: none;
  }

  div.attach-table {
    width: 400px;
  }

  div.file-title a, div.file-title a:active, div.file-title a:hover, div.fi=
le-title a:visited {
    text-decoration: none;
  }

  div.photo-title a, div.photo-title a:active, div.photo-title a:hover, div=
photo-title a:visited {
    text-decoration: none;
  }

  div#ygrp-mlmsg #ygrp-msg p a span.yshortcuts {
    font-family: Verdana;
    font-size: 10px;
    font-weight: normal;
  }

  .green {
    color: #628c2a;
  }

  .MsoNormal {
    margin: 0 0 0 0;
  }

  o {
    font-size: 0;
  }

  #photos div {
    float: left;
    width: 72px;
  }

  #photos div div {
    border: 1px solid #666666;
    height: 62px;
    overflow: hidden;
    width: 62px;
  }

  #photos div label {
    color: #666666;
    font-size: 10px;
    overflow: hidden;
    text-align: center;
    white-space: nowrap;
    width: 64px;
  }

  #reco-category {
    font-size: 77%;
  }

  #reco-desc {
    font-size: 77%;
  }

  .replbq {
    margin: 4px;
  }

  #ygrp-actbar div a:first-child {
   /* border-right: 0px solid #000;*/
    margin-right: 2px;
    padding-right: 5px;
  }

  #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-mlmsg #logo {
    padding-bottom: 10px;
  }

  #ygrp-mlmsg a {
    color: #1E66AE;
  }

  #ygrp-msg p a {
    font-family: Verdana;
  }

  #ygrp-msg p#attach-count span {
    color: #1E66AE;
    font-weight: 700;
  }

  #ygrp-reco #reco-head {
    color: #ff7900;
    font-weight: 700;
  }

  #ygrp-reco {
    margin-bottom: 20px;
    padding: 0px;
  }

  #ygrp-sponsor #ov li a {
    font-size: 130%;
    text-decoration: none;
  }

  #ygrp-sponsor #ov li {
    font-size: 77%;
    list-style-type: square;
    padding: 6px 0;
  }=20

  #ygrp-sponsor #ov ul {
    margin: 0;
    padding: 0 0 0 8px;
  }

  #ygrp-text {
    font-family: Georgia;
  }

  #ygrp-text p {
    margin: 0 0 1em 0;
  }

  #ygrp-text tt {
    font-size: 120%;
  }

  #ygrp-vital ul li:last-child {
    border-right: none !important;=20
  }=20
  -->
  </style>
</head>

<!--~-|**|PrettyHtmlEnd|**|-~-->
</html>
<!-- end group email -->


------=_NextPart_001_0046_01CBB27B.BACE60C0--

------=_NextPart_000_0045_01CBB27B.BACE60C0
Content-Type: image/png;
	name="MONTHLY.png"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="MONTHLY.png"
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------=_NextPart_000_0045_01CBB27B.BACE60C0--




