Useful functions for stock market investments.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("92amartins/richer")Here are some use cases supported by the package.
Using the stock() function, you get back a data.frame suitable for
any financial analysis.
library(richer)
vale = stock("VALE3.SA")
head(vale)
#> Date Open High Low Close Volume Adjusted
#> 1 2007-01-02 31.850 32.700 31.850 32.700 739800 20.49837
#> 2 2007-01-03 32.255 32.400 30.795 31.100 4913000 19.49539
#> 3 2007-01-04 31.000 31.250 30.150 30.600 2638600 19.18195
#> 4 2007-01-05 30.540 30.595 29.100 29.300 3246000 18.36704
#> 5 2007-01-08 29.500 30.400 29.500 30.400 2050600 19.05658
#> 6 2007-01-09 30.430 30.700 29.155 29.625 2368200 18.57076You can also get an investment hint for a specific stock by calling the
function hint().
hint("VALE3.SA")
#> [1] "sell"GetHFData have long been my first choice for fetching trading data,
but the package does not work anymore as of early 2020 because of a
issue with with the B3’s FTP service.
2020-06-30 IMPORTANT: B3 closed the public access to the ftp site and, therefore, the package is not working. As far as I know, there is no expectation of any change in that status in the near future. I’m also not aware of any other source of HF data.
So, we headed our attention to quantmod which fetches data from
multiple sources:
quantmod is an R package that provides a framework for quantitative financial modeling and trading. It provides a rapid prototyping environment that makes modeling easier by removing the repetitive workflow issues surrounding data management and visualization.
Thanks to Rodrigo Bonisem for initial discussions on this project.