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<P
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class=328345413-23112003>Hi there all !
<P
><SPAN
class=328345413-23112003>
<P
><SPAN
class=328345413-23112003>I have tried to think of various
methods to find a matching Non-Correlating match for a particular
shareA ...I thought of doing this by adding the close for
shareA to the shareB and dividing it by
2 to get an average price...I would then use some form of standard deviation to
find out how much shareB is deviating from the average - the
share that deviates the most would then be the most likely candidate - now I am
convinced this would not work as it only suggests that shareB
is more volatile than anything else...
<P
><SPAN
class=328345413-23112003>
<P
><SPAN
class=328345413-23112003>What I am trying to do is to scan a
short watch list and to find say 2 or 3 pairs ( 2shares/pair). The 2
shares in each pair must be non-correlating to a certain extent in order to
lessen risk if both are purchased ( almost like what Gary was talking briefly
about in his presentation ). Obviously the shares in the pair can not be
100% opposing as then no money would be made...My mind is still a bit baffled
about this and any suggestions and guidance in the right direction would be
greatly appreciated... I am not asking for an AFL Super Formula on a
platter...only to be pointed into the right line appoach...I will try to create
the code myself ( the only way to learn I believe ) and if stuck will ask for a
little push...
<P
><SPAN
class=328345413-23112003>
<P
><SPAN
class=328345413-23112003>Kind regards
<P
><SPAN
class=328345413-23112003>
<P
><SPAN
class=328345413-23112003>
<P
><SPAN
class=328345413-23112003>Louw Coetzer
<P
>
<P
>
<P
>
Louw-Roux Coetzer -
louwcoetzer@xxxxxxxxxxxxx
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