How to hand special symbols such as GC=F in quantmod

Question

How to handle special symbols such as GC=F in quantmod. GC=F is the symbol for gold in yahoo. Example below:

library(quantmod)

getSymbols("^GSPC") # this will return symbol GSPC and stock data

getSymbols("GC=F") # this will not work at all, returns missing values

Answer 1

I don't see any issue. Running the below code will return the data for the last few days. There is a missing value in there for October 4th which is consistent with the data on the yahoo page as seen here . All the missing data points are Sundays. If you want to remove these records, you can use na.exclude or remove all the weekend days with a function.

library(quantmod)

gold <- getSymbols("GC=F", auto.assign = FALSE, from = "2020-10-01")
gold

           GC=F.Open GC=F.High GC=F.Low GC=F.Close GC=F.Volume GC=F.Adjusted
2020-10-01    1884.1    1909.6   1882.5     1908.4         730        1908.4
2020-10-02    1893.9    1913.0   1893.9     1900.2         530        1900.2
2020-10-04        NA        NA       NA         NA          NA            NA
2020-10-05    1898.9    1915.6   1884.7     1912.5        1360        1912.5
2020-10-06    1906.6    1918.0   1874.4     1901.1         968        1901.1
2020-10-07    1874.1    1889.8   1873.1     1883.6          50        1883.6
2020-10-08    1893.0    1893.0   1882.7     1888.6         348        1888.6
2020-10-09    1909.3    1929.1   1905.1     1919.5         348        1919.5

just removing the empty days with na.exclude

na.exclude(gold)
           GC=F.Open GC=F.High GC=F.Low GC=F.Close GC=F.Volume GC=F.Adjusted
2020-10-01    1884.1    1909.6   1882.5     1908.4         730        1908.4
2020-10-02    1893.9    1913.0   1893.9     1900.2         530        1900.2
2020-10-05    1898.9    1915.6   1884.7     1912.5        1360        1912.5
2020-10-06    1906.6    1918.0   1874.4     1901.1         968        1901.1
2020-10-07    1874.1    1889.8   1873.1     1883.6          50        1883.6
2020-10-08    1893.0    1893.0   1882.7     1888.6         348        1888.6
2020-10-09    1909.3    1929.1   1905.1     1919.5         348        1919.5