tidyquant::tq_get

# load packages 
library(tidyverse)

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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() ──
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## ✖ 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()

## [1] "DOW"       "DOWGLOBAL" "SP400"     "SP500"     "SP600"

data <- tq_index("SP400")

## Getting holdings for SP400

Stock Exchange

tq_exchange_options()

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

tq_exchange("NYSE")

## Getting data...

## # A tibble: 2,730 × 7
##    symbol company           last.sale.price market.cap country ipo.year industry
##    <chr>  <chr>                       <dbl>      <dbl> <chr>      <int> <chr>   
##  1 A      "Agilent Technol…           123.     3.50e10 "Unite…     1999 "Biotec…
##  2 AA     "Alcoa Corporati…            32.7    8.47e 9 "Unite…     2016 "Alumin…
##  3 AAM    "AA Mission Acqu…            10.5    0       ""          2024 ""      
##  4 AAMI   "Acadian Asset M…            48.9    1.75e 9 "Unite…     2014 "Invest…
##  5 AAP    "Advance Auto Pa…            61      3.66e 9 "Unite…       NA "Auto &…
##  6 AAT    "American Assets…            20.3    1.24e 9 "Unite…     2011 "Real E…
##  7 AAUC   "Allied Gold Cor…            17.1    1.97e 9 ""          2025 ""      
##  8 AB     "AllianceBernste…            37.9    4.19e 9 "Unite…       NA "Invest…
##  9 ABBV   "AbbVie Inc. Com…           221.     3.90e11 "Unite…     2012 "Biotec…
## 10 ABCB   "Ameris Bancorp …            74.9    5.13e 9 "Unite…     1994 "Major …
## # ℹ 2,720 more rows

tq_get

Stock prices from yahoo finance

stock <- tq_get("MSFT")

econmic data from FRED

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

## # A tibble: 128 × 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 118 more rows