questions about adaptive indicator, intra-day trading and package 'parallel'

Thanks,Kipnis,and sorry for my delay reply.I'll learn how to use Rcpp.

regarding parallel computation,I'v learned how to compute parallel on
multi-cores computer when optimizing by professor Yollin's represetation
document,is it possible to compute parallel on multi-cores computer when
back-testing intra-day historical data ? and how to ?

It is trivial to use the foreach package to call applyStrategy in parallel.

It seems unlikely that you would need to if your strategy is well 
specified.  We routinely run strategy backtests in under one core-minute 
per symbol per day on tick data.

parameter optimization and walk forward analysis clearly benefit from 
multiple cores and even clusters of multiple machines, and quantstrat 
supports this directly. For a single backtest, even on hundreds or 
thousands of symbols with intra-day data, it is rarely needed on modern 
hardware.

I recommend learning the tools first, then learning how to profile your 
indicator or signal code to focus on where you need to speed it up.  As 
in almost anything in R, vectorization or filtering is almost always 
possible, and will provide huge gains in performance, often of several 
orders of magnitude.  If that fails, you can always write C, Fortran, or 
C++ code to tackle some particularly difficult computation.

Typically, the largest gains come from writing efficient vectorized 
indicators and signal generators.  After that, many strategies allow for 
signal pre-filtering.  We only rarely need to resort to compiled code, 
even for 'adaptive indicators', and we only work with intra-day data.

Regards,

Brian

Brian G. Peterson
http://braverock.com/brian/
Ph: 773-459-4973
IM: bgpbraverock