tidyquant::tq_get
Brody DeMasi
2025-05-21
# 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 3.5.1 ✔ tibble 3.2.1
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.0.4
## ── 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 1.0.10 ──
## ✔ PerformanceAnalytics 2.0.8 ✔ TTR 0.24.4
## ✔ quantmod 0.4.26 ✔ 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()
## [1] "DOW" "DOWGLOBAL" "SP400" "SP500" "SP600"
data <- tq_index("SP400")
## Getting holdings for SP400
## Warning in tq_index("SP400"): Error at SP400MDY during download.
## Error in curl::curl_download(spdr_link, tf <- tempfile(fileext = ".xlsx")): Timeout was reached [www.ssga.com]: Resolving timed out after 10002 milliseconds
Stock exchanges
tq_exchange_options()
## [1] "AMEX" "NASDAQ" "NYSE"
data <- tq_exchange("NYSE")
## Getting data...
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: 123 × 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 113 more rows