# load packages
library(tidyverse)
## Warning: package 'tidyverse' was built under R version 4.3.3
## Warning: package 'forcats' was built under R version 4.3.3
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.4.4     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(tidyquant)
## Warning: package 'tidyquant' was built under R version 4.3.3
## Loading required package: PerformanceAnalytics
## Loading required package: xts
## Loading required package: zoo
## 
## Attaching package: 'zoo'
## 
## The following objects are masked from 'package:base':
## 
##     as.Date, as.Date.numeric
## 
## 
## ######################### Warning from 'xts' package ##########################
## #                                                                             #
## # The dplyr lag() function breaks how base R's lag() function is supposed to  #
## # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or       #
## # source() into this session won't work correctly.                            #
## #                                                                             #
## # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add #
## # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop           #
## # dplyr from breaking base R's lag() function.                                #
## #                                                                             #
## # Code in packages is not affected. It's protected by R's namespace mechanism #
## # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning.  #
## #                                                                             #
## ###############################################################################
## 
## Attaching package: 'xts'
## 
## The following objects are masked from 'package:dplyr':
## 
##     first, last
## 
## 
## Attaching package: 'PerformanceAnalytics'
## 
## The following object is masked from 'package:graphics':
## 
##     legend
## 
## Loading required package: quantmod
## Loading required package: TTR
## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo

Stock index

tq_index_options()
## [1] "DOW"       "DOWGLOBAL" "SP400"     "SP500"     "SP600"
data <- tq_index("SP400")
## Getting holdings for SP400

Stock exchanges

tq_get function

stock price from Yahoo Fincance

stock <- tq_get("TSLA")

economic data from FRED

employment_nh <- wti_price_usd <- tq_get("DCOILWTICO", get = "economic.data")
wti_price_usd
## # A tibble: 2,717 × 3
##    symbol     date       price
##    <chr>      <date>     <dbl>
##  1 DCOILWTICO 2014-01-01  NA  
##  2 DCOILWTICO 2014-01-02  95.1
##  3 DCOILWTICO 2014-01-03  93.7
##  4 DCOILWTICO 2014-01-06  93.1
##  5 DCOILWTICO 2014-01-07  93.3
##  6 DCOILWTICO 2014-01-08  91.9
##  7 DCOILWTICO 2014-01-09  91.4
##  8 DCOILWTICO 2014-01-10  92.4
##  9 DCOILWTICO 2014-01-13  91.4
## 10 DCOILWTICO 2014-01-14  92.2
## # ℹ 2,707 more rows