Quote from Mr_You:
I was stating that the trading specific tools for R were not written for intra-day time frames analysis.
Actually I think R may by now be one of the best and most popular tools for analyzing large quantities of intra-day data, *provided* you use vector operations and the newer packages that support them. These then run at the speed of C (since these packages are written in C).
The main tools to use to hold large time-series data within R are either data.table and/or xts. Both of these now support efficient access down to milliseconds in large data file. Plus you can aggregate, extract etc. lightening fast using sql-like syntax on efficiently-stored in-memory data, and of course plot, run statistics, develop trading systems, etc.
You will find lots of people using R for intra-day data at
http://stackoverflow.com/questions/tagged/r+time-series
See
Answers at
http://quant.stackexchange.com/ques...implementation-for-representing-a-time-series
http://itp.nyu.edu/~gh726/ITProcess/2012/05/data-intraday-trading-data-and-r/
http://www.r-bloggers.com/tick-data-retrieval/
https://stat.ethz.ch/pipermail/r-sig-finance/2009q2/004118.html
http://www.rinfinance.com/agenda/2012/talk/JeffRyan.pdf (previously referred to)
http://www.r-bloggers.com/access-data-quickly-and-easily-data-table-package/