tidyquant::tq_get

# Load packages
library(tidyverse)

## ── 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   3.5.2     ✔ tibble    3.3.0
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.1.0     
## ── 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)

## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo 
## ── Attaching core tidyquant packages ─────────────────────── tidyquant 1.0.11 ──
## ✔ PerformanceAnalytics 2.0.8      ✔ TTR                  0.24.4
## ✔ quantmod             0.4.28     ✔ xts                  0.14.1── Conflicts ────────────────────────────────────────── tidyquant_conflicts() ──
## ✖ zoo::as.Date()                 masks base::as.Date()
## ✖ zoo::as.Date.numeric()         masks base::as.Date.numeric()
## ✖ dplyr::filter()                masks stats::filter()
## ✖ xts::first()                   masks dplyr::first()
## ✖ dplyr::lag()                   masks stats::lag()
## ✖ xts::last()                    masks dplyr::last()
## ✖ PerformanceAnalytics::legend() masks graphics::legend()
## ✖ quantmod::summary()            masks base::summary()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

Stock index

tq_index_options

## function () 
## {
##     c("DOW", "DOWGLOBAL", "SP400", "SP500", "SP600")
## }
## <bytecode: 0x000001d40f3b3738>
## <environment: namespace:tidyquant>

data <- tq_index("SP400")

## Getting holdings for SP400

Stock Exchanges

tq_exchange_options()

## [1] "AMEX"   "NASDAQ" "NYSE"

tq_exchange("NYSE")

## Getting data...

## # A tibble: 2,728 × 7
##    symbol company           last.sale.price market.cap country ipo.year industry
##    <chr>  <chr>                       <dbl>      <dbl> <chr>      <int> <chr>   
##  1 A      "Agilent Technol…           126.     3.56e10 "Unite…     1999 "Biotec…
##  2 AA     "Alcoa Corporati…            33.6    8.70e 9 "Unite…     2016 "Alumin…
##  3 AACT   "Ares Acquisitio…            11.4    0       ""          2023 "Blank …
##  4 AAM    "AA Mission Acqu…            10.5    0       ""          2024 ""      
##  5 AAMI   "Acadian Asset M…            48.4    1.73e 9 "Unite…     2014 "Invest…
##  6 AAP    "Advance Auto Pa…            64.2    3.85e 9 "Unite…       NA "Auto &…
##  7 AAT    "American Assets…            20.6    1.26e 9 "Unite…     2011 "Real E…
##  8 AAUC   "Allied Gold Cor…            15.7    1.82e 9 ""          2025 ""      
##  9 AB     "AllianceBernste…            37.9    4.19e 9 "Unite…       NA "Invest…
## 10 ABBV   "AbbVie Inc. Com…           218.     3.84e11 "Unite…     2012 "Biotec…
## # ℹ 2,718 more rows

tq_get

stock prices from Yahoo Finance

stock <- tq_get("TSLA")

economic data from FRED

unemployment_nh <- tq_get("NHUR", get = "economic.data")
unemployment_nh

## # A tibble: 127 × 3
##    symbol date       price
##    <chr>  <date>     <dbl>
##  1 NHUR   2015-01-01   3.8
##  2 NHUR   2015-02-01   3.8
##  3 NHUR   2015-03-01   3.7
##  4 NHUR   2015-04-01   3.6
##  5 NHUR   2015-05-01   3.5
##  6 NHUR   2015-06-01   3.4
##  7 NHUR   2015-07-01   3.3
##  8 NHUR   2015-08-01   3.3
##  9 NHUR   2015-09-01   3.2
## 10 NHUR   2015-10-01   3.1
## # ℹ 117 more rows