Last updated: 2021-05-22

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Rmd 147eb45 Matthew Stephens 2021-05-22 workflowr::wflow_publish(“stocks.Rmd”)

Introduction

Here I will download and save some stock price data. I got some help from https://www.codingfinance.com/post/2018-03-27-download-price/

library(tidyquant)
Warning: package 'tidyquant' was built under R version 3.6.2
Loading required package: lubridate
Warning: package 'lubridate' was built under R version 3.6.2

Attaching package: 'lubridate'
The following objects are masked from 'package:base':

    date, intersect, setdiff, union
Loading required package: PerformanceAnalytics
Loading required package: xts
Warning: package 'xts' was built under R version 3.6.2
Loading required package: zoo
Warning: package 'zoo' was built under R version 3.6.2

Attaching package: 'zoo'
The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Attaching package: 'PerformanceAnalytics'
The following object is masked from 'package:graphics':

    legend
Loading required package: quantmod
Warning: package 'quantmod' was built under R version 3.6.2
Loading required package: TTR
Warning: package 'TTR' was built under R version 3.6.2
Registered S3 method overwritten by 'quantmod':
  method            from
  as.zoo.data.frame zoo 
══ Need to Learn tidyquant? ════════════════════════════════════════════════════
Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
</> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
library(purrr)
Warning: package 'purrr' was built under R version 3.6.2
# K is Kellogs
# O is Realty Income Corp
# MMM is 3M
# NSRGY: Nestle
# LDSVF: Lindt
# JPM: JP Morgan Chase
# JNJ: johnson and Johnson
# TSLA: tesla
# V: visa
# PFE: Pfizer
# 

tickers = c("AAPL", "NFLX", "AMZN", "MMM", "K", "O", "NSRGY", "LDSVF", "JPM", "JNJ", "TSLA", "V", "PFE")
getSymbols(tickers)
'getSymbols' currently uses auto.assign=TRUE by default, but will
use auto.assign=FALSE in 0.5-0. You will still be able to use
'loadSymbols' to automatically load data. getOption("getSymbols.env")
and getOption("getSymbols.auto.assign") will still be checked for
alternate defaults.

This message is shown once per session and may be disabled by setting 
options("getSymbols.warning4.0"=FALSE). See ?getSymbols for details.
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
pausing 1 second between requests for more than 5 symbols
 [1] "AAPL"  "NFLX"  "AMZN"  "MMM"   "K"     "O"     "NSRGY" "LDSVF" "JPM"  
[10] "JNJ"   "TSLA"  "V"     "PFE"  
prices <- map(tickers,function(x) Ad(get(x))) # gets the adjusted prices of each stock
prices <- reduce(prices,merge)
colnames(prices) <- tickers
head(prices)
               AAPL     NFLX  AMZN      MMM        K        O    NSRGY LDSVF
2007-01-03 2.573566 3.801429 38.70 52.71381 32.51891 13.37398 23.23697    NA
2007-01-04 2.630688 3.621429 38.90 52.50500 32.26753 13.47530 23.21061    NA
2007-01-05 2.611954 3.544286 38.37 52.14801 32.04837 13.07003 22.86792    NA
2007-01-08 2.624853 3.404286 37.50 52.26250 32.12571 13.03626 22.81520    NA
2007-01-09 2.842900 3.427143 37.78 52.32314 32.19663 13.17135 22.78884    NA
2007-01-10 2.978950 3.438571 37.15 52.43765 32.36421 13.22924 22.86792    NA
                JPM      JNJ TSLA  V      PFE
2007-01-03 33.34949 43.58500   NA NA 13.82006
2007-01-04 33.43275 44.12983   NA NA 13.86737
2007-01-05 33.15523 43.72942   NA NA 13.82532
2007-01-08 33.26624 43.65722   NA NA 13.75173
2007-01-09 33.12750 43.49312   NA NA 13.75698
2007-01-10 33.37030 43.42091   NA NA 13.77275

Some companies (eg TLSA were not listed for the entire period avoilable. I’m going to narrow down the time window so no missing data

nomiss = function(x){all(!is.na(x))}
prices = prices[apply(prices,1,nomiss),]
write.csv(prices, file="../data/prices.csv",quote=FALSE,row.names=FALSE)

sessionInfo()
R version 3.6.0 (2019-04-26)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS  10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] purrr_0.3.4                tidyquant_1.0.3           
[3] quantmod_0.4.18            TTR_0.24.2                
[5] PerformanceAnalytics_2.0.4 xts_0.12.1                
[7] zoo_1.8-8                  lubridate_1.7.9.2         

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.6       pillar_1.4.6     compiler_3.6.0   later_1.1.0.1   
 [5] git2r_0.27.1     workflowr_1.6.2  tools_3.6.0      digest_0.6.27   
 [9] gtable_0.3.0     jsonlite_1.7.2   evaluate_0.14    lifecycle_1.0.0 
[13] tibble_3.0.4     lattice_0.20-41  pkgconfig_2.0.3  rlang_0.4.10    
[17] cli_2.4.0        rstudioapi_0.13  curl_4.3         yaml_2.2.1      
[21] xfun_0.16        dplyr_1.0.2      httr_1.4.2       stringr_1.4.0   
[25] knitr_1.29       generics_0.0.2   fs_1.5.0         vctrs_0.3.8     
[29] tidyselect_1.1.0 rprojroot_1.3-2  grid_3.6.0       glue_1.4.2      
[33] R6_2.4.1         Quandl_2.10.0    rmarkdown_2.3    ggplot2_3.3.2   
[37] magrittr_1.5     whisker_0.4      scales_1.1.1     backports_1.1.10
[41] promises_1.1.1   ellipsis_0.3.1   htmltools_0.5.0  colorspace_1.4-1
[45] httpuv_1.5.4     quadprog_1.5-8   stringi_1.4.6    munsell_0.5.0   
[49] crayon_1.3.4