Reputation: 1928
I would like to process Bitcoin price in R but I'm unable to download time serie from Yahoo and Google.
From Yahoo the BTCUSD historical time serie is missing and the Google doesn't recognize the URL formated by getSymbols
when symbol is "CURRENCY:EURUSD". I know R expect the ":" to be a list so I applied a workaround I found in Stakeoverflow to turn CURRENCY:EURUSD in CURRENCY.EURUSD but still Google cannot process the request.
Download from Oanda works like a charm but request cannot exceed 500 days. I try this workaround to bypass the limitation but it fails to populate correctly the prices
object in which I have others symbols :
tail(prices)
(with the loop bellow)
UUP FXB FXE FXF FXY SLV GLD BTC
2014-08-31 NA NA NA NA NA NA NA 506.809
2014-09-30 22.87 159.33 124.48 102.26 88.80 16.35 116.21 375.386
2014-10-31 23.09 157.20 123.49 101.45 86.65 15.50 112.66 341.852
2014-11-30 NA NA NA NA NA NA NA 378.690
2014-12-31 23.97 153.06 119.14 98.16 81.21 15.06 113.58 312.642
2015-01-24 NA NA NA NA NA NA NA 229.813
Extract of print(prices)
(with the loop bellow)
2013-06-28 22.56 150.17 128.93 103.92 98.63 18.97 119.11 NA
2013-07-31 22.09 150.12 131.74 105.99 99.93 19.14 127.96 NA
2013-08-30 22.19 152.93 130.84 105.45 99.63 22.60 134.62 NA
2013-09-30 21.63 159.70 133.85 108.44 99.47 20.90 128.18 133.794
2013-10-31 21.63 158.10 134.29 108.03 99.38 21.10 127.74 203.849
2013-11-30 NA NA NA NA NA NA NA 1084.800
2013-12-31 21.52 163.30 135.99 109.82 92.76 18.71 116.12 758.526
2014-01-31 21.83 161.95 133.29 108.00 95.58 18.45 120.09 812.097
tail(prices)
(without the loop bellow)
UUP FXB FXE FXF FXY SLV GLD
2014-08-29 22.02 163.23 129.54 106.42 93.61 18.71 123.86
2014-09-30 22.87 159.33 124.48 102.26 88.80 16.35 116.21
2014-10-31 23.09 157.20 123.49 101.45 86.65 15.50 112.66
2014-11-28 23.47 153.46 122.46 101.00 82.01 14.83 112.11
2014-12-31 23.97 153.06 119.14 98.16 81.21 15.06 113.58
2015-01-23 25.21 147.23 110.33 110.95 82.57 17.51 124.23
What is wrong with this code ? Tx !
require(quantmod)
require(PerformanceAnalytics)
symbols <- c(
"UUP",
"FXB",
"FXE",
"FXF",
"FXY",
"SLV",
"GLD"
)
getSymbols(symbols, from="2004-01-01")
prices <- list()
for(i in 1:length(symbols)) {
prices[[i]] <- Cl(get(symbols[i]))
}
BTC <- list()
for(i in 1:2) {
BTC[[1]] <- getFX("BTC/USD",
from = Sys.Date() -499 * (i + 1),
to = Sys.Date() - 499 * i,
env = parent.frame(),
auto.assign = FALSE)
}
BTC[[1]] <- getFX("BTC/USD",
from = Sys.Date() -499,
to = Sys.Date(),
env = parent.frame(),
auto.assign = FALSE)
prices[[length(symbols)+1]] <- BTC[[1]]
prices <- do.call(cbind, prices)
colnames(prices) <- gsub("\\.[A-z]*", "", colnames(prices))
ep <- endpoints(prices, "months")
prices <- prices[ep,]
prices <- prices["1997-03::"]
Upvotes: 3
Views: 1928
Reputation: 49810
Your for
loop isn't using i
, and then after the for
loop you're overwriting the results (the list was of length 1 because BTC[[1]]
was hardcoded)
Try this
btc <- do.call(rbind, lapply(0:2, function(i) {
getFX("BTC/USD",
from = Sys.Date() -499 * (i + 1),
to = Sys.Date() - 499 * i,
env=NULL)
}))
prices <- do.call(cbind, c(prices, list(btc)))
Edit: Here's a more complete example
library(quantmod)
# Use tryCatch() in case we try to get data too far in the past that
# Oanda doesn't provide. Return NULL if there is an error, and Filter
# to only include data that has at least 1 row.
btc <- do.call(rbind, Filter(NROW, lapply(0:5, function(i) {
tryCatch(getFX("BTC/USD",
from = Sys.Date() -499 * (i + 1),
to = Sys.Date() - 499 * i,
env=NULL), error=function(e) NULL)
})))
symbols <- c(
"UUP",
"FXB",
"FXE",
"FXF",
"FXY",
"SLV",
"GLD"
)
e <- new.env()
getSymbols(symbols, from=start(btc), env=e)
prices <- do.call(cbind, c(eapply(e, Cl)[symbols], list(btc)))
colnames(prices) <- gsub("\\.[A-z]*", "", colnames(prices))
head(na.locf(prices)[endpoints(prices, "months")])
# UUP FXB FXE FXF FXY SLV GLD BTC
#2010-07-31 23.74 156.15 129.88 95.38 114.60 17.58 115.49 0.06386
#2010-08-31 24.12 152.60 126.25 97.80 117.83 18.93 122.08 0.06441
#2010-09-30 22.84 156.33 135.81 101.00 118.57 21.31 127.91 0.06194
#2010-10-31 22.37 159.45 138.69 100.81 122.93 24.17 132.62 0.18530
#2010-11-30 23.50 154.72 129.30 98.87 118.16 27.44 135.42 0.27380
#2010-12-31 22.71 155.77 133.09 106.25 121.75 30.18 138.72 0.29190
Upvotes: 6