library(quantmod)
## Warning: package 'quantmod' was built under R version 4.2.2
## Loading required package: xts
## Warning: package 'xts' was built under R version 4.2.2
## Loading required package: zoo
## Warning: package 'zoo' was built under R version 4.2.2
## 
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
## 
##     as.Date, as.Date.numeric
## 
## ################################### WARNING ###################################
## # We noticed you have dplyr installed. The dplyr lag() function breaks how    #
## # base R's lag() function is supposed to work, which breaks lag(my_xts).      #
## #                                                                             #
## # If you call library(dplyr) later in this session, then calls to lag(my_xts) #
## # that you enter or source() into this session won't work correctly.          #
## #                                                                             #
## # All package code is unaffected because it is protected by the R namespace   #
## # mechanism.                                                                  #
## #                                                                             #
## # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning.  #
## #                                                                             #
## # You can use stats::lag() to make sure you're not using dplyr::lag(), or you #
## # can add conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop   #
## # dplyr from breaking base R's lag() function.                                #
## ################################### WARNING ###################################
## Loading required package: TTR
## Warning: package 'TTR' was built under R version 4.2.2
## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo
help("quantmod")
## starting httpd help server ... done
getSymbols("TSLA")
## [1] "TSLA"
head(TSLA)
##            TSLA.Open TSLA.High TSLA.Low TSLA.Close TSLA.Volume TSLA.Adjusted
## 2010-06-29  1.266667  1.666667 1.169333   1.592667   281494500      1.592667
## 2010-06-30  1.719333  2.028000 1.553333   1.588667   257806500      1.588667
## 2010-07-01  1.666667  1.728000 1.351333   1.464000   123282000      1.464000
## 2010-07-02  1.533333  1.540000 1.247333   1.280000    77097000      1.280000
## 2010-07-06  1.333333  1.333333 1.055333   1.074000   103003500      1.074000
## 2010-07-07  1.093333  1.108667 0.998667   1.053333   103825500      1.053333
tail(TSLA)
##            TSLA.Open TSLA.High TSLA.Low TSLA.Close TSLA.Volume TSLA.Adjusted
## 2023-02-17    199.99    208.44   197.50     208.31   213080200        208.31
## 2023-02-21    204.99    209.71   197.22     197.37   180018600        197.37
## 2023-02-22    197.93    201.99   191.78     200.86   191828500        200.86
## 2023-02-23    203.91    205.14   196.33     202.07   146360000        202.07
## 2023-02-24    196.33    197.67   192.80     196.88   141965900        196.88
## 2023-02-27    202.03    209.42   201.26     207.63   161028300        207.63
chart_Series(TSLA)

chartSeries(TSLA, theme ="white")

getSymbols("SASA.IS")
## Warning: SASA.IS contains missing values. Some functions will not work if
## objects contain missing values in the middle of the series. Consider using
## na.omit(), na.approx(), na.fill(), etc to remove or replace them.
## [1] "SASA.IS"
tail(SASA.IS)
##            SASA.IS.Open SASA.IS.High SASA.IS.Low SASA.IS.Close SASA.IS.Volume
## 2023-02-20        117.3        120.2       115.1         117.2       16853186
## 2023-02-21        116.8        118.7       112.6         112.9       17371654
## 2023-02-22        112.7        114.4       107.3         107.3       11679787
## 2023-02-23        102.1        111.5       101.5         107.7       17172982
## 2023-02-24        107.3        107.7       104.5         104.9        7630033
## 2023-02-27        104.6        108.5       101.3         107.4       18934613
##            SASA.IS.Adjusted
## 2023-02-20            117.2
## 2023-02-21            112.9
## 2023-02-22            107.3
## 2023-02-23            107.7
## 2023-02-24            104.9
## 2023-02-27            107.4
chart_Series(SASA.IS)

chartSeries(SASA.IS, theme ="white")

getSymbols("SPDYNCBRTINTCD", src="FRED")
## [1] "SPDYNCBRTINTCD"
chart_Series(SPDYNCBRTINTCD)

GETFX

getFX("USD/TRY")
## [1] "USD/TRY"
chartSeries(USDTRY , theme ="white")