Trading Use r

Automated Trading with R: Quantitative Research and Platform Development [Repost]

Automated Trading with R: Quantitative Research and Platform Development by Christopher Conlan
English | 29 Sept. 2016 | ISBN: 148422177X | 236 Pages | EPUB | 1.33 MB

This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional trading platform.

Automated Trading with R: Quantitative Research and Platform Development  eBooks & eLearning

Posted by ksveta6 at Nov. 3, 2016
Automated Trading with R: Quantitative Research and Platform Development

Automated Trading with R: Quantitative Research and Platform Development by Christopher Conlan
2016 | ISBN: 148422177X | English | 205 pages | EPUB | 1 MB

Automated Trading with R: Quantitative Research and Platform Development  eBooks & eLearning

Posted by roxul at Oct. 31, 2016
Automated Trading with R: Quantitative Research and Platform Development

Christopher Conlan, "Automated Trading with R: Quantitative Research and Platform Development"
English | ISBN: 148422177X | 2016 | 236 pages | PDF | 7 MB
Automated Trading with R: Quantitative Research and Platform Development (1st Edition)

Automated Trading with R: Quantitative Research and Platform Development 1st ed. Edition
by Christopher Conlan

English | ISBN: 148422177X | 2016 | PDF | 205 pages | 6.70 MB

Analyzing Compositional Data with R (Use R!) (repost)  eBooks & eLearning

Posted by hill0 at April 17, 2017
Analyzing Compositional Data with R (Use R!) (repost)

Analyzing Compositional Data with R (Use R!) by K. Gerald van den Boogaart
English | 9 July 2013 | ISBN: 3642368085 | 276 Pages | PDF | 3.86 MB

This book covers statistical analysis of compositional data sets from basic principles to applications in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods. Offers many illustrated examples and code chunks.

Seamless R and C++ Integration with Rcpp (Use R!)  eBooks & eLearning

Posted by hill0 at April 17, 2017
Seamless R and C++ Integration with Rcpp (Use R!)

Seamless R and C++ Integration with Rcpp (Use R!) by Dirk Eddelbuettel
English | 4 Jun. 2013 | ISBN: 1461468671 | 248 Pages | EPUB | 410.14 KB

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. – Michael Braun, MIT Sloan School of Management

R by Example (Use R!) (repost)  eBooks & eLearning

Posted by interes at Jan. 10, 2017
R by Example (Use R!) (repost)

R by Example (Use R!) by Jim Albert and Maria Rizzo
English | 2012 | ISBN-10: 1461413648 | PDF | 372 pages | 2,6 MB

Data Wrangling with R (Use R!)  eBooks & eLearning

Posted by hill0 at Dec. 17, 2016
Data Wrangling with R (Use R!)

Data Wrangling with R (Use R!) by Bradley C. Boehmke
English | 16 Dec. 2016 | ISBN: 3319455982 | 252 Pages | EPUB | 1.09 MB

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process.

Guy Nason - Wavelet Methods in Statistics with R (Use R!) [Repost]  eBooks & eLearning

Posted by rotten comics at Nov. 25, 2016
Guy Nason - Wavelet Methods in Statistics with R (Use R!) [Repost]

Guy Nason - Wavelet Methods in Statistics with R (Use R!)
2008 | ISBN: 0387759603 | English | 259 pages | PDF | 5 MB

Introductory Time Series with R (Use R!) (Repost)  eBooks & eLearning

Posted by enmoys at May 31, 2016
Introductory Time Series with R (Use R!) (Repost)

Introductory Time Series with R (Use R!) By Paul S. P. Cowpertwait, Andrew Metcalfe
2009 | 262 Pages | ISBN: 0387886974 | PDF | 6 MB