Hello,

I'm building (from the ground up) a PostgreSQL time series database for use
with R. I'd like to get some preliminary guidance (help me get pointed in
the correct direction).

Here are some details: I am PC/Windows centric. I have data of all
frequencies equal to or greater than Daily (no inter-day data). We have
prices and technical data, macro data, company descriptive, and financial
data. I don't have to do any 'DBA' stuff per-say (no messy stuff like split
adjustments, ticker changes, etc.) as that is done for me; however, I will
have to adjust for look-ahead, create new factor values, transform, etc.
the data that we have and store it in database form. Can someone point me
to the best solution/packages for this given that I have to stay in the R
and PostgreSQL world?

I see RpgSQL, RposgreSQL, TSPostgreSQL, DBI, TSdbi, and much more... I am
hoping someone can narrow things down for me.

Thanks so much!
-- 
Ben

	[[alternative HTML version deleted]]

