README.md
In msaltieri/algotrading: Algorithmic Trading with R
algotrading - A library for algorithmic trading with R
Licensed under the MIT license.
algotrading lets you easily build and backtest trading strategies using machine learning and other algorithmic and data-driven instruments.
At the moment the project is still at an embryonic stage. Anyone who wants to collaborate should consult the collaboration section and the issues page.
Table of contents
Installation
algotrading is not yet available through CRAN, but you can install the
latest development version from GitHub:
install.packages("devtools")
devtools::install_github("msaltieri/algotrading")
Collaboration
Please refer to this page
to find the best practices for collaboration in GitHub projects. These best practices are to be used when collaborating on this project.
In particular, please refer to this cheatsheet to understand how an R package works and which is the development workflow.
I also suggest to take a look at the RStudio cheatsheets page where a lot of tips and tricks on the RStudio IDE and basic R structures are available.
msaltieri/algotrading documentation built on May 29, 2019, 5:46 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
algotrading - A library for algorithmic trading with R
Licensed under the MIT license.
algotrading lets you easily build and backtest trading strategies using machine learning and other algorithmic and data-driven instruments.
At the moment the project is still at an embryonic stage. Anyone who wants to collaborate should consult the collaboration section and the issues page.
Table of contents
Installation
algotrading is not yet available through CRAN, but you can install the
latest development version from GitHub:
install.packages("devtools")
devtools::install_github("msaltieri/algotrading")
Collaboration
Please refer to this page to find the best practices for collaboration in GitHub projects. These best practices are to be used when collaborating on this project.
In particular, please refer to this cheatsheet to understand how an R package works and which is the development workflow.
I also suggest to take a look at the RStudio cheatsheets page where a lot of tips and tricks on the RStudio IDE and basic R structures are available.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.