README.md

fiinder

Fiinder allows for simple access to good real estate funds.

Installation

You can install the development version from GitHub with:

devtools::install_github("92amartins/fiinder")

Usage

At the moment, fiinder is a single-function package. You can use fiinder::find in order to get top brazilian real estate funds in terms of dividend yield and price.

The most basic usage is to simply call the function with default arguments and get the results back

library(fiinder)
fiinder::find()
#> # A tibble: 10 × 4
#>    `Códigodo fundo` `DY (12M)Média` `P/VPA` `Liquidez Diária`
#>    <chr>            <chr>           <chr>   <chr>            
#>  1 ARCT11           1,38%           0,99    2477.0           
#>  2 TORD11           0,97%           0,97    63425.0          
#>  3 PORD11           0,87%           0,95    7308.0           
#>  4 TGAR11           0,86%           0,98    29938.0          
#>  5 CPFF11           0,85%           0,99    9468.0           
#>  6 MFAI11           0,85%           0,87    1575.0           
#>  7 MFII11           0,83%           0,98    5275.0           
#>  8 PLCR11           0,82%           0,95    4321.0           
#>  9 VCJR11           0,82%           0,95    13933.0          
#> 10 EQIN11           0,80%           0,99    2498.0

Alternatively, you can specify the number of funds retrieved (n) and other parameters such as stock liquidity (liq) minimum and maximum price/value relations (min_p_vpa and max_p_vpa respectively).

fiinder::find(n=5, liq = 10000, min_p_vpa = 0.5, max_p_vpa = 1.2)
#> # A tibble: 6 × 4
#>   `Códigodo fundo` `DY (12M)Média` `P/VPA` `Liquidez Diária`
#>   <chr>            <chr>           <chr>   <chr>            
#> 1 HCTR11           1,47%           1,07    72535.0          
#> 2 RECR11           1,13%           1,11    41463.0          
#> 3 CVBI11           1,05%           1,01    31654.0          
#> 4 BCRI11           1,01%           1,02    12846.0          
#> 5 VGIP11           1,00%           1,06    18117.0          
#> 6 KNHY11           1,00%           1,07    11466.0


92amartins/fiinder documentation built on Oct. 9, 2022, 5:25 a.m.