inst/obsolete/import-yahoo.R

# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General
# Public License along with this library; if not, write to the
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA  02111-1307  USA


################################################################################
# FUNCTION:             DESCRIPTION:
#  yahooImport           Downloads market data from chart.yahoo.com
#  yahooSeries           Easy to use download from chart.yahoo.com
################################################################################


yahooImport <-
  function (query, file = "tempfile", source = NULL,
            frequency = c("daily", "weekly", "monthly"),
            from = NULL, to = Sys.timeDate(), nDaysBack = 366,
            save = FALSE, sep = ";", try = TRUE)
  {
    # A function implemented by Diethelm Wuertz
    
    # Description:
    #   Downloads market data from Yahoo's web site
    
    # Notes:
    #   Requires: fields() cuts a string in fields
    #   Yahoo Token Description:
    #   s     Selected Ticker-Symbol
    #   a     First Quote starts with Month (mm): 0-11, Jan-Dec
    #   b     First Quote starts with Day (dd)
    #   c     First Quote starts with Year: as CCYY
    #   d     Last Quote ends with Month (mm): 0-11, Jan-Dec
    #   e     Last Quote ends with Day (dd)
    #   f     Last Quote ends with Year (yy): as CCYY
    #   r     Aggregation Level
    #   z     Selected Ticker-Symbol [optional]
    #   IBM SHARES, test 19/20 century change 01-12-1999 -- 31-01-2000:
    #   "s=IBM&a=11&b=1&c=1999&d=0&e=31&f=2000&g=d&x=.csv"
    
    # Examples:
    #   yahooImport("IBM", nDaysBack = 10)
    #   yahooImport(symbols = c("^DJI", "IBM"))
    #   yahooImport(symbols = c("^DJI", "IBM"), frequency = "weekly")
    #   yahooImport(frequency = "monthly", nDaysBack = 366)
    
    # FUNCTION:
    
    # Check:
    stopifnot(length(query) == 1)
    
    # Match Arguments:
    freq <- match.arg(frequency)
    aggregation <- substr(freq, 1, 1)
    
    # Automatic Selection of From / To:
    if (is.null(to)) to <- Sys.timeDate()
    to <-  trunc(as.timeDate(to),"days")
    
    if (is.null(from)) {
      if (is.null(nDaysBack)) {
        stop("The \"from\" and \"nDaysBack\" arguments cannot be NULL at the same time.")
      } else {
        from <- to - nDaysBack*24*3600
      }
    }
    from <- trunc(as.timeDate(from),"days")
    
    from <- as.character(from)
    to <- as.character(to)
    
    # Extract Atoms - From:
    yearFrom <- substring(from, 1, 4)
    monthFrom <- as.character(as.integer(substring(from, 6, 7))-1)
    dayFrom <- substring(from, 9, 10)
    
    # Extract Atoms - To:
    yearTo <- substring(to, 1, 4)
    monthTo <- as.character(as.integer(substring(to, 6, 7))-1)
    dayTo <- substring(to, 9, 10)
    
    # Compose Query:
    Query <- paste("s=", query, "&a=", monthFrom, "&b=", dayFrom,
                   "&c=", yearFrom, "&d=", monthTo, "&e=", dayTo, "&f=", yearTo,
                   "&g=", aggregation, "&q=q&y=0&z=", query, "&x=.csv", sep = "")
    
    # Source:
    if (is.null(source))
      source <- "http://chart.yahoo.com/table.csv?"
    
    # Download:
    if (try) {
      # First try if the Internet can be accessed:
      z <- try(yahooImport(query, file, source, frequency, from, to,
                           nDaysBack, save, sep, try = FALSE))
      if (inherits(z, "try-error") || inherits(z, "Error")) {
        return("No Internet Access")
      } else {
        return(z)
      }
    } else {
      # Download File:
      url <- paste(source, Query, sep = "")
      tmp <- tempfile()
      download.file(url = url, destfile = tmp)
      
      # Read data and revert:
      mat <- read.table(tmp, header = TRUE, sep = ",")
      X <- rev(as.timeSeries(mat))
      colnames(X) <- paste(sub("\\^","",query), colnames(X), sep = ".")
    }
    
    # Save to file:
    if (save) {
      write.table(as.data.frame(X), file = file, sep = sep)
    } else {
      unlink(file)
    }
    
    # Result:
    ans <- new("fWEBDATA",
               call = match.call(),
               param = c(
                 "Instrument" = query,
                 "Frequency " = freq),
               data = X,
               title = "Data Import from www.yahoo.com",
               description = description() )
    
    # Return Value:
    ans
  }


# ------------------------------------------------------------------------------
yahooSeries <-
  function(symbols, from = NULL, to = Sys.timeDate(), nDaysBack = 366, ...)
  {
    # A function implemented by Diethelm Wuertz
    
    # Description:
    #   Downloads easily time series data from Yahoo
    
    # Arguments:
    #   symbols - a character vector of symbol names
    #   from - from date
    #   to - to date
    #   nDaysBack - number of n-days back
    #   ... - arguments passed to the *Import()
    
    # Examples:
    #   yahooSeries("IBM", nDaysBack = 10)
    #   yahooSeries("IBM", frequency = "weekly")
    #   yahooSeries(c("^DJI", "IBM"))
    #   yahooSeries(c("^DJI", "IBM"), frequency = "monthly")
    
    # FUNCTION:
    
    # Download:
    X <- yahooImport(query = symbols[1],
                     from = from, to = to, nDaysBack=nDaysBack, ...)@data
    N <- length(symbols)
    if (N > 1) {
      for (i in 2:N) {
        Y <- yahooImport(query = symbols[i],
                         from = from, to = to, nDaysBack=nDaysBack, ...)@data
        X <- merge(X, Y)
      }
    }
    
    # Return Value:
    X
  }


################################################################################

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fImport documentation built on Sept. 9, 2022, 3:08 p.m.