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Hi Carlton,
Can you give me an example of the filtering script you use? Thanks
Larry
--- In amibroker@xxxx, "Carlton McEachern" <carlton.mceachern@xxxx>
wrote:
> I carry the entire Toronto and Vancouver Stock Exchange list in my
database.
> I also carry a database of all mutual funds available in Canada.
Data
> import used to be pretty slow but Thomaz fixed that early on in the
> development of AmiBroker. One thing I do with analysis is filter
out
> equities not in my price range - ie I usually exclude equities over
$40 CAD
> but I still want them in my database for the day I can afford them
in volume
> (eternal optimist). I usually filter out equities under $1.00 as I
am not
> interested in the penney market but I still want them in my
database as
> there are a lot of tech startups and biotechs in that price range
which may
> be the next big thing. In short, I want a complete database but I
filter
> out by price to suit my trading patterns. Filtering with AFL is
easy in the
> analysis window using the < > functions. If you have the hard
drive space
> and computing power you might want to consider doing the same.
>
> THE CRAZY CANUCK
>
>
> CARLTON McEACHERN
> BOX 259, RR #1
> ASTORVILLE, ONTARIO
> P0H 1B0 CANADA
>
>
>
> -----Original Message-----
> From: acs64@xxxx [mailto:acs64@x...]
> Sent: Sunday, May 20, 2001 9:18 PM
> To: amibroker@xxxx
> Subject: [amibroker] WOW....This may be TOO much
>
>
> Hello All,
>
> Now that I have this mega-database of over 9,000 stocks, what do I
do
> with it? I'm thinking that daily updates with this size of database
> may be too time consuming. Historical updates sure have taken some
> time. Any suggestions out there for culling it back to a more
> manageable size and what a manageable size might be based on your
> experience?
>
> I'd like to keep key representatives from different sectors and
> industries maybe.....Is it possible to automate, with any of Ami's
> language, a means of keeping the best and dumping the rest? I'm
very
> curious what others may have done or what their approach to data
> overload is. Thanks in advance.
>
> Larry
>
>
>
>
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