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Arbuzov Vyacheslav

    Review of packages for R for market data
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1
What is R?
                                                 There is more than 4300
                                                packages that allow to use
    R is statistical and graphical                specialized statistical
     programming environment                   techniques, graphical devices,
                                                import/export capabilities,
                                                   reporting tools, etc.
 Appeared in 1993 and designed by
  Ross Ihaka and Robert Gentleman

        R is a GNU project

 R – a free implementation of the S
               language

  It runs on a variety of platforms
 including Windows, Unix and MacOS

  It contains advanced statistical
  routines not yet available in other
              packages

                                                     2
Information from 59
              exchanges
    (http://finance.yahoo.com/e
               xchanges)




3
Information from 35
              exchanges
    (http://www.google.com/goo
       glefinance/disclaimer/)




4
FOREX:
    • 191 currencys
    • 36000 currency pairs




5
Package quantmod             Package tseries

getSymbols("GOOG",src="yahoo",      get.hist.quote
from = "2007-01-01“, to =           (instrument="AAPL“,
Sys.Date())                         provider = "yahoo")

getSymbols.google('MSFT',
verbose=TRUE)

getSymbols("USD/EUR",src="oanda")




   6
Package quantmod

  getSymbols('CPIAUCNS',src='FRED‘)




 55 000 economic time
series from 45 databases




     7
8
Russian market:
    • Stock
    • Bond
    • derivatives
    • others




9
install.packages("rusquant", repos="http://R-Forge.R-
project.org")
 install.packages("rusquant", contriburl="http://r-
forge.r-project.org/bin/windows/contrib/latest/")


 getSymbols("SPFB.RTS", from="2011-01-
01", src="Finam“, period="hour")


                        1min, 5min, 10min, 15min, 30min, hour,
                                  day, week, month



   10
100 million time series from different data
sources:                                      http://datamarket.com/
• Eurostat,
• World Bank
• UN




   11
Package rdatamarket

dmlist("http://datamarket.com/data/set/1loo/#!display=line&ds=1loo!1n6s=2eu&e=-ag9")
dminfo("http://datamarket.com/data/set/1loo/#!display=line&ds=1loo!1n6s=2eu&e=-ag9")




     12
Morningstar provides data on more than 385,000 investment offerings,
including stocks, mutual funds, and similar vehicles, along with real -time
global market data on more than 8 million equities, indexes, futures,
options, commodities, and precious metals, in addition to foreign
exchange and Treasury markets




  13
One of the leading providers of financial information




install.packages("RBloomberg", repos ="http://r.findata.org")
conn <- blpConnect()




    14
Package twitteR

searchTwitter("#rstats", n=300)
searchTwitter("patriots", geocode=’42.375,-71.1061111,10mi’)
searchTwitter("trading", since="2012-10-01", until="2012-10-02")->t
twListToDF(t)
getTrends("daily")




 15
Package
     rfishbase




16
Data in the packages



         data(package = "ggplot2")



     data(msleep, package = "ggplot2")




17
Package ggplot2
                                  http://www.diamondse.info


        ~ 54 000 round diamonds with
                characteristics:
•    carat
•    colour
•    clarity
•    total depth
•    width
•    height
•    price



18
Package ggplot2
Full information about 38 popular cars
           from1999 to 2008




  data(mpg, package = "ggplot2")




   19
Package ggplot2
US economic time series
  from 1967 to 2007 г.
                          data(economics , package = "ggplot2")




   20
Package datasets
~ 1000 Earthquakes
       off Fiji
  since1964 year        data(quakes, package = "datasets")




   21
Package datasets
Distances Between
                    data(eurodist, package = "datasets")
 European Cities




 22
download.file

      help(download.file )




23
Quantmod
  getSymbols("AAPL",src="yahoo")
barChart(AAPL)

 candleChart(AAPL,multi.col=TRUE,theme="white")
  chartSeries(AAPL,up.col='white',dn.col='blue')
 addMACD()
 addBBands()
 to.weekly(AAPL)
 to.monthly(AAPL)
 dailyReturn(AAPL)
 weeklyReturn(AAPL)
 monthlyReturn(AAPL)




   24
BEFORE: you think R like
25
       “Swiss Army Knife”
AFTER: R really like this:




26

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peRm R group. Review of packages for r for market data downloading and analysis