# 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()
## [1] "DOW" "DOWGLOBAL" "SP400" "SP500" "SP600"
data <- tq_index("SP400")
## Getting holdings for SP400
Stock Exchanges
tq_exchange_options()
## [1] "AMEX" "NASDAQ" "NYSE"
data <- tq_exchange("NYSE")
## Getting data...
tq_get
Stock prices from Yahoo Finance
tq_get_options()
## [1] "stock.prices" "stock.prices.japan" "dividends"
## [4] "splits" "economic.data" "quandl"
## [7] "quandl.datatable" "tiingo" "tiingo.iex"
## [10] "tiingo.crypto" "alphavantager" "alphavantage"
## [13] "rblpapi"
stock <- tq_get("MSFT")
Economic data from FRED
wti_price_usd <- tq_get("DCOILWTICO", get = "economic.data")
wti_price_usd
## # A tibble: 2,788 × 3
## symbol date price
## <chr> <date> <dbl>
## 1 DCOILWTICO 2015-01-01 NA
## 2 DCOILWTICO 2015-01-02 52.7
## 3 DCOILWTICO 2015-01-05 50.0
## 4 DCOILWTICO 2015-01-06 48.0
## 5 DCOILWTICO 2015-01-07 48.7
## 6 DCOILWTICO 2015-01-08 48.8
## 7 DCOILWTICO 2015-01-09 48.4
## 8 DCOILWTICO 2015-01-12 46.1
## 9 DCOILWTICO 2015-01-13 45.9
## 10 DCOILWTICO 2015-01-14 48.5
## # ℹ 2,778 more rows
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