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â€œĂ ĂˆĂƒĂ‰°¥Ă”¨ä¡Ă‚‚šĂ‚ĂŠĂ• §Ă‘ ¿„šĹ“ ÂľĂ‘Ă‡Ă ÂťĂƒĂ’Ă?ºÒ§ ¤Ă’´Ă‡â€šĂ’¨Ă?¢Ă‚Ò¾ÑÇä´Ĺ’¾Óè ¥Ç‚Ò¡Ă•¡è Ă’§¥Ă’ĂƒĂŁĂ‹Ĺ’äÇŒ¡èĂ• 3% ÂŤĂ–§è Ă ĂƒĂ’ÂťĂƒĂ?Ă Ă Ă”š GDP ‚šäÊĂ• ÇŒ 2.8% à ťš¥Ă’ĂƒĂ ÂľĂ”ºâ¾¾èĂ“ÂĄĂ‡â€šĂ’ĂˆĂ‘ÂĄĂ‚Ă€Ă’ž¡Ă•¤è Ă‡Ăƒ¨Ă?à ťš¤Ă—Ă?Ă?Ă‚â€šĂƒĂ™ Ă?ËÇ‚Ò§ 5-5.5% ĂĄĂ…Ă?‚ 2554 ¨Ă?¢Ă‚Ò¾ÑÇà Ò¥¢Ă–šÊ à ťš 4.5%â€? Ă?Ă˜ĂŠĂƒĂ’ ÇÔäĂ…žĂ”ÂŞâˆ’ šĂ‘ÂĄĂ ĂˆĂƒĂ‰°ĂˆĂ’ĂŠÂľĂƒ Ă?Ă’Ă‡Ă˜âĂŠ ¸šĂ’¤Ă’ĂƒĂŠ徚´Ă’Ăƒ ´ ÂŞĂ’Ăƒ Ă ÂľĂ?Ăƒ ´ (ä¡Ă‚)

‘âà ĂŽĂ‘Ă Ă Ă‹à ç´ Ă?Ă‘Ă…Ă?Ă’Ă ĂƒĂ•Ă‚šâ€™ (2) (Mohamed El-Erian) ? 9 & 9 (Pimco) & # < = 9 [; + ! G * : "" " > * ! U M G : 9 " *( ( = V ) (< ; " =J " 4 = < ! = V *( \ ]V\ = %&^ ]"% " !J (< ; !J () ] ( \= V 9 (;!! > ( " *( = 4 *( J !

= &"%= (Asset Allocation) ! * *('4 9 (Global) = = < 9 * " (;< [` =J () =' $% (;!! [` ! * * : * > $ ! U M G : ' J9 ! & * & "

( = % & 4 ( > "*( " = $ \ ]V !' ' " $= '? j * 'J $ !? * " " = " " > ! ! * 9 + & ( [` !

! '4 ( "(p G *( " \ ! > [` & 4 4 = > < " " * * " & * : * () = = (` [` =>

"" " U M G : = ? & # V ! " " [` (TIPS) " * & " & & !4 ? = " ( ` = " * > [` = % ? > * : $ > " * U M G : - ! >= " *( 4

= &"%= (Asset Allocation) ! 9 " *( ?4 = < 9 " - &#% = 4 *( '4 = ! 4 = = > &"%= *( - + "

= &"%= * ' J - = " " J = ! = " " 4 = N ] “ ! " = " ! & " & � * ! *( ! " = " !> () * & " & = " * : $ =

= &"%= 9 " *( - ( $ 5-7% " " = < - ! *

U M G : - $= < 9

*( ? + & "

? ! 'J () ! - & % = 4 *( " " * " " - ! = "! $! * = N & & " & ?4 " & * * * = N &

' = < > >*

SET Ă‚Ă—šä´Ĺ’ à žĂƒĂ’Ă?¢â€šĂ’Ç ‘¤Ă‡ÂşĂƒĂ‡Ă ’ à ¤ĂƒĂ—Ă?¾¡. 1. PTT ! PTTAR, PTTCH, IRPC, TOP " # $% $ & PTT, SCC ' () ( " * + SET " - $ 750, 758-760 ! * * * 30,000 / !4 " *

9 "

Day Reverse “ � (High) “ ! " � (Low) #$ % $ % & ' * + + + ,* -. "- “ * +� + 2. (;< * " " = = " !4 > * "" + *( " = "

=> - ( CPF CPALL * ( 4

& = ! ? ! = ' * ' >* * => AOT ( $ ? "= = Indicators (MACD, 14RSI, Modified Stochastic) () = << $ “ � 45.5-46.00 - * ' *( 50, 53, 55 > = << $ AOT () = << $ “ � " PTTAR, PTTCH = ( % $G "* > ? " % * >* ' 3. PTTAR , PTTCH ! > =

(Catalyst) = << $ " J ! >" =J

4 Indicators (MACD, 14RSI) = << $ Bullish Convergence, PTTAR > = 27.5 28 " J - * * “

� ' - * ' *( 30, 33, 35, 37.5 , PTTCH ! - 77, 79 - 80 " () ! 4 = $ 85-87 ' - 4 *(*

' " = &

CDM/ATM ‘ " #$ ’ & '-* ' 800 # * "& $ "% > " = J "" " (q “ CDM/ATM x ' = " � () # J = ' x ' = 9 > = = ' " = + " 9 " (q & < () *(

& = 9( 9 & \ ] (p Luxury Property Showcase 2131 $ Hall of Frame M Fashion Hall 1 =" & = ' J & 9 . 0-2680-3020 >

SCIB #' 0 #0 SCIB VISA Savings Value

# * " (q SCIB VISA Savings Value ! J "" " "* ( !>* '4 1.5 KK + ‘Luxury Property Showcase’ 21-31 * "* ( !> " & " 9.9% (p " ( "=J = 45 - J= . . , # " > J 17 9 J# Good 9 = # x &"% 10,000 =J = * Living Created by Kiatnakin 9 " () " J \ " ( N J 200,000 () ( + 9 " x

! " ! 4. SET Daily = << $ " + (Bearish Divergence) = ! =J = *

Indicators (MACD, 14RSI, Modified Stochastic) = << $ " = ! =J = * * " = & !! " * ' ! ( N " *( 9 9 " 9 4 “ � (PTTCH, PTTAR, IRPC, AOT) ! ( N " 5. " +

= " J 32.85 / % + " * * " "

" !! * 6. SET 700 ! " # $#! !% & '% " ( 758-760 ") ) * ( + ) ) ' / % # 1 )! 1 $ + ' " ) ) " = ' SET " 740 ! * " * ()

“' � ' 740 !

“ ( V � & " - 758 - 760 ! * * ! " " "! 740 ! "" " ' () ! " & %

& “' = � ? N "

7. 9 " EMA 5 = 745 , EMA 10 = 7741, 25 = 730 ! , 75 = 708 ! EMA 200 = 655.7 ! SET ' " EMA 10 * (740 - 742 ! ) " () = << $ '

= << $ " " = 9 " SET Indicators (MACD, 14RSI, Modified Stochastic) " = << $ Bearish Divergence * SET 1 $ " & $ 730-740 " ' / % # 1 $ “ " /$ "� 2 * "# 2 !% & ! !% & / ) ( 70-80%) /<$ %& "!%& / 1 $

" $ % #& # + ' $ " % " # * "2 = # 2 ! " 1 !/ 758-760 ) 2 * ' $ * ) 795-800, 820-830 1 8. SET Weekly 9 " EMA 5 week = 732.96, 10 week = 721 ! , 25 week = 687 ! , 75 week = 641 200 week = 652 ! > ?4 " " SET Daily => < 730-740 ! " * ' '

=> < Indicators (14RSI, MACD, Modified Stochastic) SET = << $ “ "

� 4 " ' SET =

! =J = * ( 758 - 760 ! * ) Indicators weekly * = ' = ! =J = * “" "� & = << $ " = ( % (weekly) = << $ " (Bearish Divergence) " #% ! " SET = ! =J = * ! ? > +* ! - " * 5-10% ' * = ' >* "

* 9 = =J 9. !@ = $" 1-3 % <" D # 1 !'%& $ < = $" !% & " ") "#& 2 '< 30-40% ( ' $ < 758 - 760 ) ) “ � G$ 1= $" & 2 / I $ ' ( 760 + ) ) ' $ 800, 820 - 830 ) ! ! ? J PTT ! ! (PTTAR, PTTCH, IRPC) AOT " Z & 5-10% => < " = 730-740 ! " ' = " & ! *( " : " I “" < 1 � /< K ") " !%& M " " 2 " “Asian Financial Forum 18-22 < 2553� 2 " “Asia in the New Economic Order� 2 " < # $ #= $.< " ' 1 =# + 1 $ “The Global Post-Crisis Financial Landscape, Asias Role in the New Economic Order� $ !%& 20 < 2553 1 * %U / 2 V"W

&"% >( ! * " &"%( +. 8? @ ' 8 8 + 0 0 8 + = ' " " & * SCIB Contact Center 9 . 0-2828 !. " #" " = " " (q 8000 " #" * (AYFCHINA) 15-27 2552 & &

KTC 4 ' ‘ 5 $ ’ + " '+ 4 ? = = \ ! &+ ! " & \] 9 " ! " = ? ( N = '? &+ ! " &"% ] & \] & " 599 ! ( 740 ? ! " ( \ & € ! (Mainland China) (V " > & "

= = KTC Forever 2,000 Rewards & " 3,299 =N & =J ? - "* > = ' " " & = * 0-2657-5757 # \ " #" = 299 - ( \ 31 2553 = ' * '4 EXIM Bank +'F #5 ' 4 '- 8 # 2553 9 " # & =

>

( \* " (EXIM &+ !( " - ( J 2 Â = 1 J( Bank) ! [ ! = \ =

13

(` J = 2 J( ' " J( J = 1 9 J - J=

- J= ! *( 9 =(p 2553 2 (‚ = ' & * 0-2665-5000 (q > 16 (p & * * % \

=

(p 2553 = ! HSBC '6 # 7 8 12% ‘ : - : ’ = ? > =J = 12% J( = * = = & \] 72,000 = ? & EXIM BANK => & " % = % < = % " ! " = " "

= = - 9 . 0-2617-2111 60,000 N " 1143-8 "

= &= ?+ ‘:#0 , ’ #' ' # G4 * = ? # ? % (q # - 9 \ & % ' - 21 N " “? 9 " %� (Citi Mobile) () # N & #% 2553 " & > " = J = ' > # * 9 \ & % ' ‘ ' 0# # ’ ; NPA 0< =4 > 5 ( " 4 # " > + & J 1,500 Citi Mobile Banking, Citi ! ( \ " & = 20-60% 9 "

Mobile Payments, Citi Mobile () 2 = Hot Sale Hot Price &"% & \]!> Enquiry Citi Mobile 270 " ( J &"% & " 6 " & Alerts J Citibank user = & J? + & =J = 95% " 0% name Citibank online 9 () J J # = # & \] = ' * " 0% (p -10 .&. => 9 " *( www.citibank.co.th = ! J " " &"% ! " " * www.kkas! 9 \ & % ' set.com = ' 0-2680-3333 3 > J & Citi Mobile != * ! www.citibank.co.th/citimobile 9 .1588

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( # $ 0 )# .# 0& < /$ 2 #

! , & !# < $/ CAWOW " M ) / .W ( “/ ”

) _ “3 $ 6" * * > 8 2 6 $ + ? ! % $ ! ” 0 )# .# O ( ) .0# )] . ! K.2 K. 2 # ( ( < /$ < $ ) * /% ( <

0# )] . ]^ “ @$% ”

0# )] . 0& 0 .W 2 (

"< ) .W ,-./ / ) 20% 0 )# .# 2 0 2 O ) ( / CAWOW 49% 2 K & 2) ( ) O)0 h@ j .W 0 ! “ ) & ” 0 “ 2 6 " 8 " # % * ' ! / / ' * 5 / 3 8 " # % B ! 6 (4 % % " )”

‘àÁà¨Íà «Õ¹àÕ ¾Åç¡« ’µÑ´à¹×Íé ÌҠÅÍÂá¾ á¤ÅÔ¿Íà à¹Õ njÒÇ ! " # $

%&

O ) . " : . (CAWOW) ( : & 0 # 0 : “ ” . K 2 ! K. * ) ! < #"/ < $/ ( “ ” ! & 3 &"# “ ” ( @M # # K ! "# $% $ & # % MAJOR ! $% ' * + “ , % ” ! - ' * / 0 12 % $ 3 $ 45 $- - + “ " 6 ” $ 6 " ( 6-13 2J ) 2552 .W CAWOW < . K 2 2 . " /% 53.37 17.79% #) $ # 39.62 = ( 0.74 .W “ ' ” & ( ( 3 2538 CAWOW IPO 6 * , ( 31 O # 2548 .W ) 3 & $ # O) CAWOW ( .W 6.85 + .W CAWOW 2 . 57 19% , ( 0 )# .# O ( ) .0# )] . ! K. 2 K. / $ 115.75 38.58% * CAWOW $ 2) ( " 402 ( 0.45 0 * $ ( . “4 ” “4 7” 2 )( MM , “ ” 0# )] . ]^ : _ ! & 1' / ! # / 7 2 ( "O ) / - " ( ! _ & .W ^ 2 & (

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^ < 3 & )' (" 4,000 O ) * 0 0 ( $ ^ *# 3 *# , *( 0

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( 3 2550- 9 3 2552 O) 410 ) < $ ) " <) 2 ^ )

0 " ) 2)( %& , (

( 0 2 0 * # 0 ) 31 ( ^

0 ! ) _ $ ( 0 “! ” < $ & ) ( # ,+ 2

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" # & & ( . W

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& ) O # $ 180 + &

3 : + ( 0< O ) & 0 )# )( * O ) & 0 + 2 O. 2553 ) ! ) # ) 0 3 0 ! * & # ) = ( # 2)( %& 50%

) $ ( 1,000-1,100 ! < + 9-13 (< $/ # & < $ ) *

0# )] . ]^ # & $ " & 10 " ) /% 115,000 # /% . + 2 0 3 /% $ 0 O )

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! ' 40% 8 * %

3 - H 2553 # ! $ / 4 "* 4&$ 8 7 .. H # $ '

H / ! 6" * 8 N 3 D -

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@

) # ? 1) )*+# $ 0 ! 0 ( 'C .# ,. 0 GDP 3 & # 0 ! 0 ( 10% & 'C . 2) (

, ) * GDP 3 2553 C 3 (<

@

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2) ( % & /% ) , ) # ( / # &

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) O. TTA $ PSL , & ( TTA * . (BDI) ( %& PSL ( MM ) # @

$ / #) BDI 0 * ( PSL ) MM K% ( " 0 # # # TTA PSL , & $ ( 1.51 ( # = ( ( 1.55 * . ( TTA # @

( & # TTA # % & ! PSL 1

# # ) ( 0% 0 &" 0.15% " $ # K & ( ) 20 ) * # # . 0 & ( ) ( 3 2553 & " $ # K & ) 5 #) (" 0.25-1% ( ) 5 0 ) 10 #) (" 0.22-1% " ( ) 10 0 ) 20 #) (" 0.18-1% 0 ( ) 20 : ( 0 ) 1% *

@

. ) = ( 900 3 2552 ( $ , 850

>>

! / /$' 1 2 O ( ) . !'./7 83 ! 9B! ^ < 3 25532557 )' ) 0 " ) & )& 429,096 K%( $ )C , ^* = ( & 3 2553 " 253,796 . &" ) 3 2554 " 275,552 .

3 2555 " 303,920 . 3 2556 " 305,354 . 0 3 2557 " 307,027 . @

)' *# & 42 *# *

>> B D / Q S < $ . . . .

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Çѹ·Õè 18 Á¡ÃÒ¤Á 2553

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