Package: TAQMNGR 2018.5-1

Fabrizio Cipollini

TAQMNGR: Manage Tick-by-Tick Transaction Data

Manager of tick-by-tick transaction data that performs 'cleaning', 'aggregation' and 'import' in an efficient and fast way. The package engine, written in C++, exploits the 'zlib' and 'gzstream' libraries to handle gzipped data without need to uncompress them. 'Cleaning' and 'aggregation' are performed according to Brownlees and Gallo (2006) <doi:10.1016/j.csda.2006.09.030>. Currently, TAQMNGR processes raw data from WRDS (Wharton Research Data Service, <https://wrds-web.wharton.upenn.edu/wrds/>).

Authors:Francesco Calvori, Fabrizio Cipollini, Giampiero M. Gallo and 'gzstream' authors.

TAQMNGR_2018.5-1.tar.gz
TAQMNGR_2018.5-1.tar.gz(r-4.5-noble)TAQMNGR_2018.5-1.tar.gz(r-4.4-noble)
TAQMNGR_2018.5-1.tgz(r-4.4-emscripten)TAQMNGR_2018.5-1.tgz(r-4.3-emscripten)
TAQMNGR.pdf |TAQMNGR.html
TAQMNGR/json (API)

# Install 'TAQMNGR' in R:
install.packages('TAQMNGR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • zlib– Compression library
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 194 downloads 5 exports 1 dependencies

Last updated 7 years agofrom:dbb5429b0f. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64NOTENov 24 2024

Exports:.Last.libTAQ.AggregateTAQ.CleanTickByTickTAQ.ReadTAQ.Report

Dependencies:Rcpp

Readme and manuals

Help Manual

Help pageTopics
TAQ ManagerTAQ.Aggregate TAQ.CleanTickByTick TAQ.Read TAQ.Report
TAQ ManagerTAQMNGR