#Practical Assignment #1. This assignment is worth 150 points.
#Useful hints: Utilize book examples and make sure to download #and library appropriate packages (FRAPO, zoo, fBasics, evir) #Under each of the items provide the relevant R code
#1) Check you working directory
getwd()## [1] "C:/Users/nickh/Downloads"#2) Set your working directory to RStudio folder
# that you have created inside the ANLY 515 forlder"
setwd("C:/Users/nickh/Desktop/515-assignment")#3) Download the 3 data set, and lable them
# BTC, LTC, ETH. These data sets reperesnet daily prices
# of three chryptocurrencies: Bitcoin, Litcoin, and Ethereum.
# Set the first column in each data set to the date format
# and the remaining columns in numerical format.
library(readxl)
btc<- read_excel("C:/Users/nickh/Desktop/515-assignment/btc.xlsx",col_types = c("date",
"numeric", "numeric", "numeric", "numeric","numeric",
"numeric","numeric", "numeric","numeric", "numeric",
"numeric", "numeric","numeric", "numeric","numeric", "numeric"))
str(btc)## Classes 'tbl_df', 'tbl' and 'data.frame': 3671 obs. of 17 variables:
## $ date : POSIXct, format: "2009-01-03" "2009-01-04" ...
## $ txVolume(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ adjustedTxVolume(USD): num NA NA NA NA NA NA NA NA NA NA ...
## $ txCount : num NA NA NA NA NA NA 0 0 0 7 ...
## $ marketcap(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ price(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ exchangeVolume(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ realizedCap(USD) : num 0 0 0 0 0 0 0 0 0 0 ...
## $ generatedCoins : num NA NA NA NA NA NA 700 3050 4650 4700 ...
## $ fees : num NA NA NA NA NA NA 0 0 0 0 ...
## $ activeAddresses : num NA NA NA NA NA NA 14 61 93 102 ...
## $ averageDifficulty : num NA NA NA NA NA NA 1 1 1 1 ...
## $ paymentCount : num NA NA NA NA NA NA 0 0 0 5 ...
## $ medianTxValue(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ medianFee : num NA NA NA NA NA NA NA NA NA 0 ...
## $ blockSize : num NA NA NA NA NA ...
## $ blockCount : num NA NA NA NA NA NA 14 61 93 94 ...ltc<- read_excel("C:/Users/nickh/Desktop/515-assignment/ltc.xlsx", col_types = c("date",
"numeric", "numeric", "numeric", "numeric","numeric",
"numeric","numeric", "numeric","numeric", "numeric",
"numeric", "numeric","numeric", "numeric","numeric", "numeric"))
str(ltc)## Classes 'tbl_df', 'tbl' and 'data.frame': 2664 obs. of 17 variables:
## $ date : POSIXct, format: "2011-10-07" "2011-10-08" ...
## $ txVolume(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ adjustedTxVolume(USD): num NA NA NA NA NA NA NA NA NA NA ...
## $ txCount : num NA 0 0 0 0 ...
## $ marketcap(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ price(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ exchangeVolume(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ realizedCap(USD) : num 0 0 0 0 0 0 0 0 0 0 ...
## $ generatedCoins : num NA 50 NA NA NA ...
## $ fees : num NA 0 0 0 0 ...
## $ activeAddresses : num NA 1 0 0 0 ...
## $ averageDifficulty : num NA 0.000244 NA NA NA ...
## $ paymentCount : num NA 0 0 0 0 ...
## $ medianTxValue(USD) : num NA NA NA NA NA NA NA NA NA NA ...
## $ medianFee : num NA NA NA NA NA NA 0 0 0 0 ...
## $ blockSize : num NA 215 0 0 0 ...
## $ blockCount : num NA 1 0 0 0 ...eth<- read_excel("C:/Users/nickh/Desktop/515-assignment/eth.xlsx", col_types = c("date",
"numeric", "numeric", "numeric", "numeric","numeric",
"numeric","numeric", "numeric","numeric", "numeric",
"numeric", "numeric","numeric", "numeric","numeric"))
str(eth)## Classes 'tbl_df', 'tbl' and 'data.frame': 1272 obs. of 16 variables:
## $ date : POSIXct, format: "2015-07-30" "2015-07-31" ...
## $ txVolume(USD) : num NA NA NA NA NA ...
## $ adjustedTxVolume(USD): num NA NA NA NA NA ...
## $ txCount : num NA NA NA NA NA ...
## $ marketcap(USD) : num NA NA NA NA NA ...
## $ price(USD) : num NA NA NA NA NA NA NA NA 2.83 2.79 ...
## $ exchangeVolume(USD) : num NA NA NA NA NA ...
## $ generatedCoins : num 39311 36192 27702 28227 27977 ...
## $ fees : num NA NA NA NA NA ...
## $ activeAddresses : num NA NA NA NA NA ...
## $ medianTxValue(USD) : num NA NA NA NA NA ...
## $ medianFee : num NA NA NA NA NA ...
## $ averageDifficulty : num 1.21e+11 6.03e+11 8.87e+11 1.02e+12 1.13e+12 ...
## $ paymentCount : num NA NA NA NA NA ...
## $ blockSize : num 4449897 3994458 3044344 3112348 3099953 ...
## $ blockCount : num 6911 6863 5293 5358 5280 ...#4) Create three new datasets that are subsets of the original
# datasets, to include dates only after "2015-08-31".
# Name these datasets btcnew, ltcnew, ethnew,
btc<- na.omit(btc)
ltc<- na.omit(ltc)
eth<- na.omit(eth)
btc2<-btc[btc$date>"2015-08-31",]
str(btc2)## Classes 'tbl_df', 'tbl' and 'data.frame': 1235 obs. of 17 variables:
## $ date : POSIXct, format: "2015-09-01" "2015-09-02" ...
## $ txVolume(USD) : num 2.90e+08 2.84e+08 2.47e+08 2.27e+08 1.85e+08 ...
## $ adjustedTxVolume(USD): num 1.26e+08 1.22e+08 1.14e+08 1.16e+08 8.93e+07 ...
## $ txCount : num 130256 149906 128536 103817 124071 ...
## $ marketcap(USD) : num 3.35e+09 3.32e+09 3.34e+09 3.31e+09 3.36e+09 ...
## $ price(USD) : num 230 228 229 227 230 ...
## $ exchangeVolume(USD) : num 20575200 18760400 17482000 20962400 20671400 ...
## $ realizedCap(USD) : num 4.07e+09 4.07e+09 4.06e+09 4.06e+09 4.06e+09 ...
## $ generatedCoins : num 3850 4000 3650 3900 3675 ...
## $ fees : num 25.3 53.9 28 25.1 27.8 ...
## $ activeAddresses : num 307795 290567 303103 265574 318521 ...
## $ averageDifficulty : num 5.43e+10 5.43e+10 5.43e+10 5.59e+10 5.70e+10 ...
## $ paymentCount : num 232345 1883742 339960 195974 276765 ...
## $ medianTxValue(USD) : num 47.7 110.4 45.9 44.8 19.6 ...
## $ medianFee : num 0.0001 0.000199 0.0001 0.0001 0.0001 ...
## $ blockSize : num 6.96e+07 1.21e+08 7.22e+07 5.55e+07 6.59e+07 ...
## $ blockCount : num 154 160 146 156 147 144 152 136 149 171 ...
## - attr(*, "na.action")= 'omit' Named int 1 2 3 4 5 6 7 8 9 10 ...
## ..- attr(*, "names")= chr "1" "2" "3" "4" ...ltc2<-ltc[ltc$date>"2015-08-31",]
str(ltc2)## Classes 'tbl_df', 'tbl' and 'data.frame': 1235 obs. of 17 variables:
## $ date : POSIXct, format: "2015-09-01" "2015-09-02" ...
## $ txVolume(USD) : num 7474956 8331736 14870866 11104348 6649556 ...
## $ adjustedTxVolume(USD): num 3377583 4203080 6502684 4621881 3827191 ...
## $ txCount : num 3268 2870 3065 2988 3403 ...
## $ marketcap(USD) : num 1.20e+08 1.19e+08 1.18e+08 1.11e+08 1.14e+08 ...
## $ price(USD) : num 2.85 2.82 2.8 2.64 2.7 2.92 3.04 3.05 3.05 2.92 ...
## $ exchangeVolume(USD) : num 1376040 2423010 2210590 1441530 2666820 ...
## $ realizedCap(USD) : num 2.85e+08 2.85e+08 2.85e+08 2.84e+08 2.84e+08 ...
## $ generatedCoins : num 15625 16025 14025 14800 15275 ...
## $ fees : num 49 37.7 36 31.6 39.6 ...
## $ activeAddresses : num 9617 9324 8307 9042 19657 ...
## $ averageDifficulty : num 39229 39229 40955 41832 41832 ...
## $ paymentCount : num 7682 7200 5880 8046 19199 ...
## $ medianTxValue(USD) : num 14.12 41.14 51.51 14.79 6.48 ...
## $ medianFee : num 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...
## $ blockSize : num 2065612 2087365 2016730 1961935 2756504 ...
## $ blockCount : num 625 641 561 592 611 592 612 619 623 600 ...
## - attr(*, "na.action")= 'omit' Named int 1 2 3 4 5 6 7 8 9 10 ...
## ..- attr(*, "names")= chr "1" "2" "3" "4" ...eth2<-eth[eth$date>"2015-08-31",]
str(eth2)## Classes 'tbl_df', 'tbl' and 'data.frame': 1239 obs. of 16 variables:
## $ date : POSIXct, format: "2015-09-01" "2015-09-02" ...
## $ txVolume(USD) : num 3134878 374924 724609 222727 230212 ...
## $ adjustedTxVolume(USD): num 3134878 374924 724609 222727 230212 ...
## $ txCount : num 5153 5195 4777 5642 5519 ...
## $ marketcap(USD) : num 98507500 98779755 95162210 92221782 93309978 ...
## $ price(USD) : num 1.35 1.35 1.3 1.26 1.28 1.34 1.3 1.25 1.24 1.21 ...
## $ exchangeVolume(USD) : num 778862 883769 702991 474391 448453 ...
## $ generatedCoins : num 20339 18391 17381 23082 25629 ...
## $ fees : num 7.84 8.15 6.97 9.73 9.14 ...
## $ activeAddresses : num 1555 1514 1448 1450 1486 ...
## $ medianTxValue(USD) : num 2.18 1.72 1.58 1.4 2.08 ...
## $ medianFee : num 0.00105 0.00105 0.00105 0.00105 0.00105 0.00105 0.00105 0.00105 0.00105 0.00105 ...
## $ averageDifficulty : num 7.64e+12 8.28e+12 8.35e+12 6.47e+12 6.24e+12 ...
## $ paymentCount : num 5000 4883 4527 4924 5236 ...
## $ blockSize : num 2919171 2740989 2555486 3387151 3704996 ...
## $ blockCount : num 3938 3577 3383 4443 4921 ...
## - attr(*, "na.action")= 'omit' Named int 1 2 3 4 5 6 7 8
## ..- attr(*, "names")= chr "1" "2" "3" "4" ...#5) Create 4 variables: date (represents dates of observation) ,
# BTCPrice (price of Bitcoin), LTCPrice (Price of Litcoin),
# ETHPrice (Price of Ethereum)
date<-btc2$date
date## [1] "2015-09-01 UTC" "2015-09-02 UTC" "2015-09-03 UTC" "2015-09-04 UTC"
## [5] "2015-09-05 UTC" "2015-09-06 UTC" "2015-09-07 UTC" "2015-09-08 UTC"
## [9] "2015-09-09 UTC" "2015-09-10 UTC" "2015-09-11 UTC" "2015-09-12 UTC"
## [13] "2015-09-13 UTC" "2015-09-14 UTC" "2015-09-15 UTC" "2015-09-16 UTC"
## [17] "2015-09-17 UTC" "2015-09-18 UTC" "2015-09-19 UTC" "2015-09-20 UTC"
## [21] "2015-09-21 UTC" "2015-09-22 UTC" "2015-09-23 UTC" "2015-09-24 UTC"
## [25] "2015-09-25 UTC" "2015-09-26 UTC" "2015-09-27 UTC" "2015-09-28 UTC"
## [29] "2015-09-29 UTC" "2015-09-30 UTC" "2015-10-01 UTC" "2015-10-02 UTC"
## [33] "2015-10-03 UTC" "2015-10-04 UTC" "2015-10-05 UTC" "2015-10-06 UTC"
## [37] "2015-10-07 UTC" "2015-10-08 UTC" "2015-10-09 UTC" "2015-10-10 UTC"
## [41] "2015-10-11 UTC" "2015-10-12 UTC" "2015-10-13 UTC" "2015-10-14 UTC"
## [45] "2015-10-15 UTC" "2015-10-16 UTC" "2015-10-17 UTC" "2015-10-18 UTC"
## [49] "2015-10-19 UTC" "2015-10-20 UTC" "2015-10-21 UTC" "2015-10-22 UTC"
## [53] "2015-10-23 UTC" "2015-10-24 UTC" "2015-10-25 UTC" "2015-10-26 UTC"
## [57] "2015-10-27 UTC" "2015-10-28 UTC" "2015-10-29 UTC" "2015-10-30 UTC"
## [61] "2015-10-31 UTC" "2015-11-01 UTC" "2015-11-02 UTC" "2015-11-03 UTC"
## [65] "2015-11-04 UTC" "2015-11-05 UTC" "2015-11-06 UTC" "2015-11-07 UTC"
## [69] "2015-11-08 UTC" "2015-11-09 UTC" "2015-11-10 UTC" "2015-11-11 UTC"
## [73] "2015-11-12 UTC" "2015-11-13 UTC" "2015-11-14 UTC" "2015-11-15 UTC"
## [77] "2015-11-16 UTC" "2015-11-17 UTC" "2015-11-18 UTC" "2015-11-19 UTC"
## [81] "2015-11-20 UTC" "2015-11-21 UTC" "2015-11-22 UTC" "2015-11-23 UTC"
## [85] "2015-11-24 UTC" "2015-11-25 UTC" "2015-11-26 UTC" "2015-11-27 UTC"
## [89] "2015-11-28 UTC" "2015-11-29 UTC" "2015-11-30 UTC" "2015-12-01 UTC"
## [93] "2015-12-02 UTC" "2015-12-03 UTC" "2015-12-04 UTC" "2015-12-05 UTC"
## [97] "2015-12-06 UTC" "2015-12-07 UTC" "2015-12-08 UTC" "2015-12-09 UTC"
## [101] "2015-12-10 UTC" "2015-12-11 UTC" "2015-12-12 UTC" "2015-12-13 UTC"
## [105] "2015-12-14 UTC" "2015-12-15 UTC" "2015-12-16 UTC" "2015-12-17 UTC"
## [109] "2015-12-18 UTC" "2015-12-19 UTC" "2015-12-20 UTC" "2015-12-21 UTC"
## [113] "2015-12-22 UTC" "2015-12-23 UTC" "2015-12-24 UTC" "2015-12-25 UTC"
## [117] "2015-12-26 UTC" "2015-12-27 UTC" "2015-12-28 UTC" "2015-12-29 UTC"
## [121] "2015-12-30 UTC" "2015-12-31 UTC" "2016-01-01 UTC" "2016-01-02 UTC"
## [125] "2016-01-03 UTC" "2016-01-04 UTC" "2016-01-05 UTC" "2016-01-06 UTC"
## [129] "2016-01-07 UTC" "2016-01-08 UTC" "2016-01-09 UTC" "2016-01-10 UTC"
## [133] "2016-01-11 UTC" "2016-01-12 UTC" "2016-01-13 UTC" "2016-01-14 UTC"
## [137] "2016-01-15 UTC" "2016-01-16 UTC" "2016-01-17 UTC" "2016-01-18 UTC"
## [141] "2016-01-19 UTC" "2016-01-20 UTC" "2016-01-21 UTC" "2016-01-22 UTC"
## [145] "2016-01-23 UTC" "2016-01-24 UTC" "2016-01-25 UTC" "2016-01-26 UTC"
## [149] "2016-01-27 UTC" "2016-01-28 UTC" "2016-01-29 UTC" "2016-01-30 UTC"
## [153] "2016-01-31 UTC" "2016-02-01 UTC" "2016-02-02 UTC" "2016-02-03 UTC"
## [157] "2016-02-04 UTC" "2016-02-05 UTC" "2016-02-06 UTC" "2016-02-07 UTC"
## [161] "2016-02-08 UTC" "2016-02-09 UTC" "2016-02-10 UTC" "2016-02-11 UTC"
## [165] "2016-02-12 UTC" "2016-02-13 UTC" "2016-02-14 UTC" "2016-02-15 UTC"
## [169] "2016-02-16 UTC" "2016-02-17 UTC" "2016-02-18 UTC" "2016-02-19 UTC"
## [173] "2016-02-20 UTC" "2016-02-21 UTC" "2016-02-22 UTC" "2016-02-23 UTC"
## [177] "2016-02-24 UTC" "2016-02-25 UTC" "2016-02-26 UTC" "2016-02-27 UTC"
## [181] "2016-02-28 UTC" "2016-02-29 UTC" "2016-03-01 UTC" "2016-03-02 UTC"
## [185] "2016-03-03 UTC" "2016-03-04 UTC" "2016-03-05 UTC" "2016-03-06 UTC"
## [189] "2016-03-07 UTC" "2016-03-08 UTC" "2016-03-09 UTC" "2016-03-10 UTC"
## [193] "2016-03-11 UTC" "2016-03-12 UTC" "2016-03-13 UTC" "2016-03-14 UTC"
## [197] "2016-03-15 UTC" "2016-03-16 UTC" "2016-03-17 UTC" "2016-03-18 UTC"
## [201] "2016-03-19 UTC" "2016-03-20 UTC" "2016-03-21 UTC" "2016-03-22 UTC"
## [205] "2016-03-23 UTC" "2016-03-24 UTC" "2016-03-25 UTC" "2016-03-26 UTC"
## [209] "2016-03-27 UTC" "2016-03-28 UTC" "2016-03-29 UTC" "2016-03-30 UTC"
## [213] "2016-03-31 UTC" "2016-04-01 UTC" "2016-04-02 UTC" "2016-04-03 UTC"
## [217] "2016-04-04 UTC" "2016-04-05 UTC" "2016-04-06 UTC" "2016-04-07 UTC"
## [221] "2016-04-08 UTC" "2016-04-09 UTC" "2016-04-10 UTC" "2016-04-11 UTC"
## [225] "2016-04-12 UTC" "2016-04-13 UTC" "2016-04-14 UTC" "2016-04-15 UTC"
## [229] "2016-04-16 UTC" "2016-04-17 UTC" "2016-04-18 UTC" "2016-04-19 UTC"
## [233] "2016-04-20 UTC" "2016-04-21 UTC" "2016-04-22 UTC" "2016-04-23 UTC"
## [237] "2016-04-24 UTC" "2016-04-25 UTC" "2016-04-26 UTC" "2016-04-27 UTC"
## [241] "2016-04-28 UTC" "2016-04-29 UTC" "2016-04-30 UTC" "2016-05-01 UTC"
## [245] "2016-05-02 UTC" "2016-05-03 UTC" "2016-05-04 UTC" "2016-05-05 UTC"
## [249] "2016-05-06 UTC" "2016-05-07 UTC" "2016-05-08 UTC" "2016-05-09 UTC"
## [253] "2016-05-10 UTC" "2016-05-11 UTC" "2016-05-12 UTC" "2016-05-13 UTC"
## [257] "2016-05-14 UTC" "2016-05-15 UTC" "2016-05-16 UTC" "2016-05-17 UTC"
## [261] "2016-05-18 UTC" "2016-05-19 UTC" "2016-05-20 UTC" "2016-05-21 UTC"
## [265] "2016-05-22 UTC" "2016-05-23 UTC" "2016-05-24 UTC" "2016-05-25 UTC"
## [269] "2016-05-26 UTC" "2016-05-27 UTC" "2016-05-28 UTC" "2016-05-29 UTC"
## [273] "2016-05-30 UTC" "2016-05-31 UTC" "2016-06-01 UTC" "2016-06-02 UTC"
## [277] "2016-06-03 UTC" "2016-06-04 UTC" "2016-06-05 UTC" "2016-06-06 UTC"
## [281] "2016-06-07 UTC" "2016-06-08 UTC" "2016-06-09 UTC" "2016-06-10 UTC"
## [285] "2016-06-11 UTC" "2016-06-12 UTC" "2016-06-13 UTC" "2016-06-14 UTC"
## [289] "2016-06-15 UTC" "2016-06-16 UTC" "2016-06-17 UTC" "2016-06-18 UTC"
## [293] "2016-06-19 UTC" "2016-06-20 UTC" "2016-06-21 UTC" "2016-06-22 UTC"
## [297] "2016-06-23 UTC" "2016-06-24 UTC" "2016-06-25 UTC" "2016-06-26 UTC"
## [301] "2016-06-27 UTC" "2016-06-28 UTC" "2016-06-29 UTC" "2016-06-30 UTC"
## [305] "2016-07-01 UTC" "2016-07-02 UTC" "2016-07-03 UTC" "2016-07-04 UTC"
## [309] "2016-07-05 UTC" "2016-07-06 UTC" "2016-07-07 UTC" "2016-07-08 UTC"
## [313] "2016-07-09 UTC" "2016-07-10 UTC" "2016-07-11 UTC" "2016-07-12 UTC"
## [317] "2016-07-13 UTC" "2016-07-14 UTC" "2016-07-15 UTC" "2016-07-16 UTC"
## [321] "2016-07-17 UTC" "2016-07-18 UTC" "2016-07-19 UTC" "2016-07-20 UTC"
## [325] "2016-07-21 UTC" "2016-07-22 UTC" "2016-07-23 UTC" "2016-07-24 UTC"
## [329] "2016-07-25 UTC" "2016-07-26 UTC" "2016-07-27 UTC" "2016-07-28 UTC"
## [333] "2016-07-29 UTC" "2016-07-30 UTC" "2016-07-31 UTC" "2016-08-01 UTC"
## [337] "2016-08-02 UTC" "2016-08-03 UTC" "2016-08-04 UTC" "2016-08-05 UTC"
## [341] "2016-08-06 UTC" "2016-08-07 UTC" "2016-08-08 UTC" "2016-08-09 UTC"
## [345] "2016-08-10 UTC" "2016-08-11 UTC" "2016-08-12 UTC" "2016-08-13 UTC"
## [349] "2016-08-14 UTC" "2016-08-15 UTC" "2016-08-16 UTC" "2016-08-17 UTC"
## [353] "2016-08-18 UTC" "2016-08-19 UTC" "2016-08-20 UTC" "2016-08-21 UTC"
## [357] "2016-08-22 UTC" "2016-08-23 UTC" "2016-08-24 UTC" "2016-08-25 UTC"
## [361] "2016-08-26 UTC" "2016-08-27 UTC" "2016-08-28 UTC" "2016-08-29 UTC"
## [365] "2016-08-30 UTC" "2016-08-31 UTC" "2016-09-01 UTC" "2016-09-02 UTC"
## [369] "2016-09-03 UTC" "2016-09-04 UTC" "2016-09-05 UTC" "2016-09-06 UTC"
## [373] "2016-09-07 UTC" "2016-09-08 UTC" "2016-09-09 UTC" "2016-09-10 UTC"
## [377] "2016-09-11 UTC" "2016-09-12 UTC" "2016-09-13 UTC" "2016-09-14 UTC"
## [381] "2016-09-15 UTC" "2016-09-16 UTC" "2016-09-17 UTC" "2016-09-18 UTC"
## [385] "2016-09-19 UTC" "2016-09-20 UTC" "2016-09-21 UTC" "2016-09-22 UTC"
## [389] "2016-09-23 UTC" "2016-09-24 UTC" "2016-09-25 UTC" "2016-09-26 UTC"
## [393] "2016-09-27 UTC" "2016-09-28 UTC" "2016-09-29 UTC" "2016-09-30 UTC"
## [397] "2016-10-01 UTC" "2016-10-02 UTC" "2016-10-03 UTC" "2016-10-04 UTC"
## [401] "2016-10-05 UTC" "2016-10-06 UTC" "2016-10-07 UTC" "2016-10-08 UTC"
## [405] "2016-10-09 UTC" "2016-10-10 UTC" "2016-10-11 UTC" "2016-10-12 UTC"
## [409] "2016-10-13 UTC" "2016-10-14 UTC" "2016-10-15 UTC" "2016-10-16 UTC"
## [413] "2016-10-17 UTC" "2016-10-18 UTC" "2016-10-19 UTC" "2016-10-20 UTC"
## [417] "2016-10-21 UTC" "2016-10-22 UTC" "2016-10-23 UTC" "2016-10-24 UTC"
## [421] "2016-10-25 UTC" "2016-10-26 UTC" "2016-10-27 UTC" "2016-10-28 UTC"
## [425] "2016-10-29 UTC" "2016-10-30 UTC" "2016-10-31 UTC" "2016-11-01 UTC"
## [429] "2016-11-02 UTC" "2016-11-03 UTC" "2016-11-04 UTC" "2016-11-05 UTC"
## [433] "2016-11-06 UTC" "2016-11-07 UTC" "2016-11-08 UTC" "2016-11-09 UTC"
## [437] "2016-11-10 UTC" "2016-11-11 UTC" "2016-11-12 UTC" "2016-11-13 UTC"
## [441] "2016-11-14 UTC" "2016-11-15 UTC" "2016-11-16 UTC" "2016-11-17 UTC"
## [445] "2016-11-18 UTC" "2016-11-19 UTC" "2016-11-20 UTC" "2016-11-21 UTC"
## [449] "2016-11-22 UTC" "2016-11-23 UTC" "2016-11-24 UTC" "2016-11-25 UTC"
## [453] "2016-11-26 UTC" "2016-11-27 UTC" "2016-11-28 UTC" "2016-11-29 UTC"
## [457] "2016-11-30 UTC" "2016-12-01 UTC" "2016-12-02 UTC" "2016-12-03 UTC"
## [461] "2016-12-04 UTC" "2016-12-05 UTC" "2016-12-06 UTC" "2016-12-07 UTC"
## [465] "2016-12-08 UTC" "2016-12-09 UTC" "2016-12-10 UTC" "2016-12-11 UTC"
## [469] "2016-12-12 UTC" "2016-12-13 UTC" "2016-12-14 UTC" "2016-12-15 UTC"
## [473] "2016-12-16 UTC" "2016-12-17 UTC" "2016-12-18 UTC" "2016-12-19 UTC"
## [477] "2016-12-20 UTC" "2016-12-21 UTC" "2016-12-22 UTC" "2016-12-23 UTC"
## [481] "2016-12-24 UTC" "2016-12-25 UTC" "2016-12-26 UTC" "2016-12-27 UTC"
## [485] "2016-12-28 UTC" "2016-12-29 UTC" "2016-12-30 UTC" "2016-12-31 UTC"
## [489] "2017-01-01 UTC" "2017-01-02 UTC" "2017-01-03 UTC" "2017-01-04 UTC"
## [493] "2017-01-05 UTC" "2017-01-06 UTC" "2017-01-07 UTC" "2017-01-08 UTC"
## [497] "2017-01-09 UTC" "2017-01-10 UTC" "2017-01-11 UTC" "2017-01-12 UTC"
## [501] "2017-01-13 UTC" "2017-01-14 UTC" "2017-01-15 UTC" "2017-01-16 UTC"
## [505] "2017-01-17 UTC" "2017-01-18 UTC" "2017-01-19 UTC" "2017-01-20 UTC"
## [509] "2017-01-21 UTC" "2017-01-22 UTC" "2017-01-23 UTC" "2017-01-24 UTC"
## [513] "2017-01-25 UTC" "2017-01-26 UTC" "2017-01-27 UTC" "2017-01-28 UTC"
## [517] "2017-01-29 UTC" "2017-01-30 UTC" "2017-01-31 UTC" "2017-02-01 UTC"
## [521] "2017-02-02 UTC" "2017-02-03 UTC" "2017-02-04 UTC" "2017-02-05 UTC"
## [525] "2017-02-06 UTC" "2017-02-07 UTC" "2017-02-08 UTC" "2017-02-09 UTC"
## [529] "2017-02-10 UTC" "2017-02-11 UTC" "2017-02-12 UTC" "2017-02-13 UTC"
## [533] "2017-02-14 UTC" "2017-02-15 UTC" "2017-02-16 UTC" "2017-02-17 UTC"
## [537] "2017-02-18 UTC" "2017-02-19 UTC" "2017-02-20 UTC" "2017-02-21 UTC"
## [541] "2017-02-22 UTC" "2017-02-23 UTC" "2017-02-24 UTC" "2017-02-25 UTC"
## [545] "2017-02-26 UTC" "2017-02-27 UTC" "2017-02-28 UTC" "2017-03-01 UTC"
## [549] "2017-03-02 UTC" "2017-03-03 UTC" "2017-03-04 UTC" "2017-03-05 UTC"
## [553] "2017-03-06 UTC" "2017-03-07 UTC" "2017-03-08 UTC" "2017-03-09 UTC"
## [557] "2017-03-10 UTC" "2017-03-11 UTC" "2017-03-12 UTC" "2017-03-13 UTC"
## [561] "2017-03-14 UTC" "2017-03-15 UTC" "2017-03-16 UTC" "2017-03-17 UTC"
## [565] "2017-03-18 UTC" "2017-03-19 UTC" "2017-03-20 UTC" "2017-03-21 UTC"
## [569] "2017-03-22 UTC" "2017-03-23 UTC" "2017-03-24 UTC" "2017-03-25 UTC"
## [573] "2017-03-26 UTC" "2017-03-27 UTC" "2017-03-28 UTC" "2017-03-29 UTC"
## [577] "2017-03-30 UTC" "2017-03-31 UTC" "2017-04-01 UTC" "2017-04-02 UTC"
## [581] "2017-04-03 UTC" "2017-04-04 UTC" "2017-04-05 UTC" "2017-04-06 UTC"
## [585] "2017-04-07 UTC" "2017-04-08 UTC" "2017-04-09 UTC" "2017-04-10 UTC"
## [589] "2017-04-11 UTC" "2017-04-12 UTC" "2017-04-13 UTC" "2017-04-14 UTC"
## [593] "2017-04-15 UTC" "2017-04-16 UTC" "2017-04-17 UTC" "2017-04-18 UTC"
## [597] "2017-04-19 UTC" "2017-04-20 UTC" "2017-04-21 UTC" "2017-04-22 UTC"
## [601] "2017-04-23 UTC" "2017-04-24 UTC" "2017-04-25 UTC" "2017-04-26 UTC"
## [605] "2017-04-27 UTC" "2017-04-28 UTC" "2017-04-29 UTC" "2017-04-30 UTC"
## [609] "2017-05-01 UTC" "2017-05-02 UTC" "2017-05-03 UTC" "2017-05-04 UTC"
## [613] "2017-05-05 UTC" "2017-05-06 UTC" "2017-05-07 UTC" "2017-05-08 UTC"
## [617] "2017-05-09 UTC" "2017-05-10 UTC" "2017-05-11 UTC" "2017-05-12 UTC"
## [621] "2017-05-13 UTC" "2017-05-14 UTC" "2017-05-15 UTC" "2017-05-16 UTC"
## [625] "2017-05-17 UTC" "2017-05-18 UTC" "2017-05-19 UTC" "2017-05-20 UTC"
## [629] "2017-05-21 UTC" "2017-05-22 UTC" "2017-05-23 UTC" "2017-05-24 UTC"
## [633] "2017-05-25 UTC" "2017-05-26 UTC" "2017-05-27 UTC" "2017-05-28 UTC"
## [637] "2017-05-29 UTC" "2017-05-30 UTC" "2017-05-31 UTC" "2017-06-01 UTC"
## [641] "2017-06-02 UTC" "2017-06-03 UTC" "2017-06-04 UTC" "2017-06-05 UTC"
## [645] "2017-06-06 UTC" "2017-06-07 UTC" "2017-06-08 UTC" "2017-06-09 UTC"
## [649] "2017-06-10 UTC" "2017-06-11 UTC" "2017-06-12 UTC" "2017-06-13 UTC"
## [653] "2017-06-14 UTC" "2017-06-15 UTC" "2017-06-16 UTC" "2017-06-17 UTC"
## [657] "2017-06-18 UTC" "2017-06-19 UTC" "2017-06-20 UTC" "2017-06-21 UTC"
## [661] "2017-06-22 UTC" "2017-06-23 UTC" "2017-06-24 UTC" "2017-06-25 UTC"
## [665] "2017-06-26 UTC" "2017-06-27 UTC" "2017-06-28 UTC" "2017-06-29 UTC"
## [669] "2017-06-30 UTC" "2017-07-01 UTC" "2017-07-02 UTC" "2017-07-03 UTC"
## [673] "2017-07-04 UTC" "2017-07-05 UTC" "2017-07-06 UTC" "2017-07-07 UTC"
## [677] "2017-07-08 UTC" "2017-07-09 UTC" "2017-07-10 UTC" "2017-07-11 UTC"
## [681] "2017-07-12 UTC" "2017-07-13 UTC" "2017-07-14 UTC" "2017-07-15 UTC"
## [685] "2017-07-16 UTC" "2017-07-17 UTC" "2017-07-18 UTC" "2017-07-19 UTC"
## [689] "2017-07-20 UTC" "2017-07-21 UTC" "2017-07-22 UTC" "2017-07-23 UTC"
## [693] "2017-07-24 UTC" "2017-07-25 UTC" "2017-07-26 UTC" "2017-07-27 UTC"
## [697] "2017-07-28 UTC" "2017-07-29 UTC" "2017-07-30 UTC" "2017-07-31 UTC"
## [701] "2017-08-01 UTC" "2017-08-02 UTC" "2017-08-03 UTC" "2017-08-04 UTC"
## [705] "2017-08-05 UTC" "2017-08-06 UTC" "2017-08-07 UTC" "2017-08-08 UTC"
## [709] "2017-08-09 UTC" "2017-08-10 UTC" "2017-08-11 UTC" "2017-08-12 UTC"
## [713] "2017-08-13 UTC" "2017-08-14 UTC" "2017-08-15 UTC" "2017-08-16 UTC"
## [717] "2017-08-17 UTC" "2017-08-18 UTC" "2017-08-19 UTC" "2017-08-20 UTC"
## [721] "2017-08-21 UTC" "2017-08-22 UTC" "2017-08-23 UTC" "2017-08-24 UTC"
## [725] "2017-08-25 UTC" "2017-08-26 UTC" "2017-08-27 UTC" "2017-08-28 UTC"
## [729] "2017-08-29 UTC" "2017-08-30 UTC" "2017-08-31 UTC" "2017-09-01 UTC"
## [733] "2017-09-02 UTC" "2017-09-03 UTC" "2017-09-04 UTC" "2017-09-05 UTC"
## [737] "2017-09-06 UTC" "2017-09-07 UTC" "2017-09-08 UTC" "2017-09-09 UTC"
## [741] "2017-09-10 UTC" "2017-09-11 UTC" "2017-09-12 UTC" "2017-09-13 UTC"
## [745] "2017-09-14 UTC" "2017-09-15 UTC" "2017-09-16 UTC" "2017-09-17 UTC"
## [749] "2017-09-18 UTC" "2017-09-19 UTC" "2017-09-20 UTC" "2017-09-21 UTC"
## [753] "2017-09-22 UTC" "2017-09-23 UTC" "2017-09-24 UTC" "2017-09-25 UTC"
## [757] "2017-09-26 UTC" "2017-09-27 UTC" "2017-09-28 UTC" "2017-09-29 UTC"
## [761] "2017-09-30 UTC" "2017-10-01 UTC" "2017-10-02 UTC" "2017-10-03 UTC"
## [765] "2017-10-04 UTC" "2017-10-05 UTC" "2017-10-06 UTC" "2017-10-07 UTC"
## [769] "2017-10-08 UTC" "2017-10-09 UTC" "2017-10-10 UTC" "2017-10-11 UTC"
## [773] "2017-10-12 UTC" "2017-10-13 UTC" "2017-10-14 UTC" "2017-10-15 UTC"
## [777] "2017-10-16 UTC" "2017-10-17 UTC" "2017-10-18 UTC" "2017-10-19 UTC"
## [781] "2017-10-20 UTC" "2017-10-21 UTC" "2017-10-22 UTC" "2017-10-23 UTC"
## [785] "2017-10-24 UTC" "2017-10-25 UTC" "2017-10-26 UTC" "2017-10-27 UTC"
## [789] "2017-10-28 UTC" "2017-10-29 UTC" "2017-10-30 UTC" "2017-10-31 UTC"
## [793] "2017-11-01 UTC" "2017-11-02 UTC" "2017-11-03 UTC" "2017-11-04 UTC"
## [797] "2017-11-05 UTC" "2017-11-06 UTC" "2017-11-07 UTC" "2017-11-08 UTC"
## [801] "2017-11-09 UTC" "2017-11-10 UTC" "2017-11-11 UTC" "2017-11-12 UTC"
## [805] "2017-11-13 UTC" "2017-11-14 UTC" "2017-11-15 UTC" "2017-11-16 UTC"
## [809] "2017-11-17 UTC" "2017-11-18 UTC" "2017-11-19 UTC" "2017-11-20 UTC"
## [813] "2017-11-21 UTC" "2017-11-22 UTC" "2017-11-23 UTC" "2017-11-24 UTC"
## [817] "2017-11-25 UTC" "2017-11-26 UTC" "2017-11-27 UTC" "2017-11-28 UTC"
## [821] "2017-11-29 UTC" "2017-11-30 UTC" "2017-12-01 UTC" "2017-12-02 UTC"
## [825] "2017-12-03 UTC" "2017-12-04 UTC" "2017-12-05 UTC" "2017-12-06 UTC"
## [829] "2017-12-07 UTC" "2017-12-08 UTC" "2017-12-09 UTC" "2017-12-10 UTC"
## [833] "2017-12-11 UTC" "2017-12-12 UTC" "2017-12-13 UTC" "2017-12-14 UTC"
## [837] "2017-12-15 UTC" "2017-12-16 UTC" "2017-12-17 UTC" "2017-12-18 UTC"
## [841] "2017-12-19 UTC" "2017-12-20 UTC" "2017-12-21 UTC" "2017-12-22 UTC"
## [845] "2017-12-23 UTC" "2017-12-24 UTC" "2017-12-25 UTC" "2017-12-26 UTC"
## [849] "2017-12-27 UTC" "2017-12-28 UTC" "2017-12-29 UTC" "2017-12-30 UTC"
## [853] "2017-12-31 UTC" "2018-01-01 UTC" "2018-01-02 UTC" "2018-01-03 UTC"
## [857] "2018-01-04 UTC" "2018-01-05 UTC" "2018-01-06 UTC" "2018-01-07 UTC"
## [861] "2018-01-08 UTC" "2018-01-09 UTC" "2018-01-10 UTC" "2018-01-11 UTC"
## [865] "2018-01-12 UTC" "2018-01-13 UTC" "2018-01-14 UTC" "2018-01-15 UTC"
## [869] "2018-01-16 UTC" "2018-01-17 UTC" "2018-01-18 UTC" "2018-01-19 UTC"
## [873] "2018-01-20 UTC" "2018-01-21 UTC" "2018-01-22 UTC" "2018-01-23 UTC"
## [877] "2018-01-24 UTC" "2018-01-25 UTC" "2018-01-26 UTC" "2018-01-27 UTC"
## [881] "2018-01-28 UTC" "2018-01-29 UTC" "2018-01-30 UTC" "2018-01-31 UTC"
## [885] "2018-02-01 UTC" "2018-02-02 UTC" "2018-02-03 UTC" "2018-02-04 UTC"
## [889] "2018-02-05 UTC" "2018-02-06 UTC" "2018-02-07 UTC" "2018-02-08 UTC"
## [893] "2018-02-09 UTC" "2018-02-10 UTC" "2018-02-11 UTC" "2018-02-12 UTC"
## [897] "2018-02-13 UTC" "2018-02-14 UTC" "2018-02-15 UTC" "2018-02-16 UTC"
## [901] "2018-02-17 UTC" "2018-02-18 UTC" "2018-02-19 UTC" "2018-02-20 UTC"
## [905] "2018-02-21 UTC" "2018-02-22 UTC" "2018-02-23 UTC" "2018-02-24 UTC"
## [909] "2018-02-25 UTC" "2018-02-26 UTC" "2018-02-27 UTC" "2018-02-28 UTC"
## [913] "2018-03-01 UTC" "2018-03-02 UTC" "2018-03-03 UTC" "2018-03-04 UTC"
## [917] "2018-03-05 UTC" "2018-03-06 UTC" "2018-03-07 UTC" "2018-03-08 UTC"
## [921] "2018-03-09 UTC" "2018-03-10 UTC" "2018-03-11 UTC" "2018-03-12 UTC"
## [925] "2018-03-13 UTC" "2018-03-14 UTC" "2018-03-15 UTC" "2018-03-16 UTC"
## [929] "2018-03-17 UTC" "2018-03-18 UTC" "2018-03-19 UTC" "2018-03-20 UTC"
## [933] "2018-03-21 UTC" "2018-03-22 UTC" "2018-03-23 UTC" "2018-03-24 UTC"
## [937] "2018-03-25 UTC" "2018-03-26 UTC" "2018-03-27 UTC" "2018-03-28 UTC"
## [941] "2018-03-29 UTC" "2018-03-30 UTC" "2018-03-31 UTC" "2018-04-01 UTC"
## [945] "2018-04-02 UTC" "2018-04-03 UTC" "2018-04-04 UTC" "2018-04-05 UTC"
## [949] "2018-04-06 UTC" "2018-04-07 UTC" "2018-04-08 UTC" "2018-04-09 UTC"
## [953] "2018-04-10 UTC" "2018-04-11 UTC" "2018-04-12 UTC" "2018-04-13 UTC"
## [957] "2018-04-14 UTC" "2018-04-15 UTC" "2018-04-16 UTC" "2018-04-17 UTC"
## [961] "2018-04-18 UTC" "2018-04-19 UTC" "2018-04-20 UTC" "2018-04-21 UTC"
## [965] "2018-04-22 UTC" "2018-04-23 UTC" "2018-04-24 UTC" "2018-04-25 UTC"
## [969] "2018-04-26 UTC" "2018-04-27 UTC" "2018-04-28 UTC" "2018-04-29 UTC"
## [973] "2018-04-30 UTC" "2018-05-01 UTC" "2018-05-02 UTC" "2018-05-03 UTC"
## [977] "2018-05-04 UTC" "2018-05-05 UTC" "2018-05-06 UTC" "2018-05-07 UTC"
## [981] "2018-05-08 UTC" "2018-05-09 UTC" "2018-05-10 UTC" "2018-05-11 UTC"
## [985] "2018-05-12 UTC" "2018-05-13 UTC" "2018-05-14 UTC" "2018-05-15 UTC"
## [989] "2018-05-16 UTC" "2018-05-17 UTC" "2018-05-18 UTC" "2018-05-19 UTC"
## [993] "2018-05-20 UTC" "2018-05-21 UTC" "2018-05-22 UTC" "2018-05-23 UTC"
## [997] "2018-05-24 UTC" "2018-05-25 UTC" "2018-05-26 UTC" "2018-05-27 UTC"
## [1001] "2018-05-28 UTC" "2018-05-29 UTC" "2018-05-30 UTC" "2018-05-31 UTC"
## [1005] "2018-06-01 UTC" "2018-06-02 UTC" "2018-06-03 UTC" "2018-06-04 UTC"
## [1009] "2018-06-05 UTC" "2018-06-06 UTC" "2018-06-07 UTC" "2018-06-08 UTC"
## [1013] "2018-06-09 UTC" "2018-06-10 UTC" "2018-06-11 UTC" "2018-06-12 UTC"
## [1017] "2018-06-13 UTC" "2018-06-14 UTC" "2018-06-15 UTC" "2018-06-16 UTC"
## [1021] "2018-06-17 UTC" "2018-06-18 UTC" "2018-06-19 UTC" "2018-06-20 UTC"
## [1025] "2018-06-21 UTC" "2018-06-22 UTC" "2018-06-23 UTC" "2018-06-24 UTC"
## [1029] "2018-06-25 UTC" "2018-06-26 UTC" "2018-06-27 UTC" "2018-06-28 UTC"
## [1033] "2018-06-29 UTC" "2018-06-30 UTC" "2018-07-01 UTC" "2018-07-02 UTC"
## [1037] "2018-07-03 UTC" "2018-07-04 UTC" "2018-07-05 UTC" "2018-07-06 UTC"
## [1041] "2018-07-07 UTC" "2018-07-08 UTC" "2018-07-09 UTC" "2018-07-10 UTC"
## [1045] "2018-07-11 UTC" "2018-07-12 UTC" "2018-07-13 UTC" "2018-07-14 UTC"
## [1049] "2018-07-15 UTC" "2018-07-16 UTC" "2018-07-17 UTC" "2018-07-18 UTC"
## [1053] "2018-07-19 UTC" "2018-07-20 UTC" "2018-07-21 UTC" "2018-07-22 UTC"
## [1057] "2018-07-23 UTC" "2018-07-24 UTC" "2018-07-25 UTC" "2018-07-26 UTC"
## [1061] "2018-07-27 UTC" "2018-07-28 UTC" "2018-07-29 UTC" "2018-07-30 UTC"
## [1065] "2018-07-31 UTC" "2018-08-01 UTC" "2018-08-02 UTC" "2018-08-03 UTC"
## [1069] "2018-08-04 UTC" "2018-08-05 UTC" "2018-08-06 UTC" "2018-08-07 UTC"
## [1073] "2018-08-08 UTC" "2018-08-09 UTC" "2018-08-10 UTC" "2018-08-11 UTC"
## [1077] "2018-08-12 UTC" "2018-08-13 UTC" "2018-08-14 UTC" "2018-08-15 UTC"
## [1081] "2018-08-16 UTC" "2018-08-17 UTC" "2018-08-18 UTC" "2018-08-19 UTC"
## [1085] "2018-08-20 UTC" "2018-08-21 UTC" "2018-08-22 UTC" "2018-08-23 UTC"
## [1089] "2018-08-24 UTC" "2018-08-25 UTC" "2018-08-26 UTC" "2018-08-27 UTC"
## [1093] "2018-08-28 UTC" "2018-08-29 UTC" "2018-08-30 UTC" "2018-08-31 UTC"
## [1097] "2018-09-01 UTC" "2018-09-02 UTC" "2018-09-03 UTC" "2018-09-04 UTC"
## [1101] "2018-09-05 UTC" "2018-09-06 UTC" "2018-09-07 UTC" "2018-09-08 UTC"
## [1105] "2018-09-09 UTC" "2018-09-10 UTC" "2018-09-11 UTC" "2018-09-12 UTC"
## [1109] "2018-09-13 UTC" "2018-09-14 UTC" "2018-09-15 UTC" "2018-09-16 UTC"
## [1113] "2018-09-17 UTC" "2018-09-18 UTC" "2018-09-19 UTC" "2018-09-20 UTC"
## [1117] "2018-09-21 UTC" "2018-09-22 UTC" "2018-09-23 UTC" "2018-09-24 UTC"
## [1121] "2018-09-25 UTC" "2018-09-26 UTC" "2018-09-27 UTC" "2018-09-28 UTC"
## [1125] "2018-09-29 UTC" "2018-09-30 UTC" "2018-10-01 UTC" "2018-10-02 UTC"
## [1129] "2018-10-03 UTC" "2018-10-04 UTC" "2018-10-05 UTC" "2018-10-06 UTC"
## [1133] "2018-10-07 UTC" "2018-10-08 UTC" "2018-10-09 UTC" "2018-10-10 UTC"
## [1137] "2018-10-11 UTC" "2018-10-12 UTC" "2018-10-13 UTC" "2018-10-14 UTC"
## [1141] "2018-10-15 UTC" "2018-10-16 UTC" "2018-10-17 UTC" "2018-10-18 UTC"
## [1145] "2018-10-19 UTC" "2018-10-20 UTC" "2018-10-21 UTC" "2018-10-22 UTC"
## [1149] "2018-10-23 UTC" "2018-10-24 UTC" "2018-10-25 UTC" "2018-10-26 UTC"
## [1153] "2018-10-27 UTC" "2018-10-28 UTC" "2018-10-29 UTC" "2018-10-30 UTC"
## [1157] "2018-10-31 UTC" "2018-11-01 UTC" "2018-11-02 UTC" "2018-11-03 UTC"
## [1161] "2018-11-04 UTC" "2018-11-05 UTC" "2018-11-06 UTC" "2018-11-07 UTC"
## [1165] "2018-11-08 UTC" "2018-11-09 UTC" "2018-11-10 UTC" "2018-11-11 UTC"
## [1169] "2018-11-12 UTC" "2018-11-13 UTC" "2018-11-14 UTC" "2018-11-15 UTC"
## [1173] "2018-11-16 UTC" "2018-11-17 UTC" "2018-11-18 UTC" "2018-11-19 UTC"
## [1177] "2018-11-20 UTC" "2018-11-21 UTC" "2018-11-22 UTC" "2018-11-23 UTC"
## [1181] "2018-11-24 UTC" "2018-11-25 UTC" "2018-11-26 UTC" "2018-11-27 UTC"
## [1185] "2018-11-28 UTC" "2018-11-29 UTC" "2018-11-30 UTC" "2018-12-01 UTC"
## [1189] "2018-12-02 UTC" "2018-12-03 UTC" "2018-12-04 UTC" "2018-12-05 UTC"
## [1193] "2018-12-06 UTC" "2018-12-07 UTC" "2018-12-08 UTC" "2018-12-09 UTC"
## [1197] "2018-12-10 UTC" "2018-12-11 UTC" "2018-12-12 UTC" "2018-12-13 UTC"
## [1201] "2018-12-14 UTC" "2018-12-15 UTC" "2018-12-16 UTC" "2018-12-17 UTC"
## [1205] "2018-12-18 UTC" "2018-12-19 UTC" "2018-12-20 UTC" "2018-12-21 UTC"
## [1209] "2018-12-22 UTC" "2018-12-23 UTC" "2018-12-24 UTC" "2018-12-25 UTC"
## [1213] "2018-12-26 UTC" "2018-12-27 UTC" "2018-12-28 UTC" "2018-12-29 UTC"
## [1217] "2018-12-30 UTC" "2018-12-31 UTC" "2019-01-01 UTC" "2019-01-02 UTC"
## [1221] "2019-01-03 UTC" "2019-01-04 UTC" "2019-01-05 UTC" "2019-01-06 UTC"
## [1225] "2019-01-07 UTC" "2019-01-08 UTC" "2019-01-09 UTC" "2019-01-10 UTC"
## [1229] "2019-01-11 UTC" "2019-01-12 UTC" "2019-01-13 UTC" "2019-01-14 UTC"
## [1233] "2019-01-15 UTC" "2019-01-16 UTC" "2019-01-17 UTC"BTCPrice<-btc2$`price(USD)`
BTCPrice## [1] 230.26 228.03 229.32 227.21 230.20 234.87 239.93 239.85
## [9] 243.41 238.34 238.33 239.85 235.24 230.61 230.49 230.25
## [17] 229.08 233.52 232.86 231.40 231.22 226.97 230.94 230.36
## [25] 234.36 235.08 234.14 232.84 239.02 236.64 236.00 237.26
## [33] 237.20 238.53 238.15 240.36 246.17 243.07 242.50 243.74
## [41] 244.74 246.88 245.20 249.49 252.11 254.30 262.75 270.91
## [49] 261.86 263.57 269.31 266.50 273.65 276.50 281.45 283.63
## [57] 285.18 293.70 304.32 313.94 328.51 315.01 325.94 361.87
## [65] 403.66 408.08 388.05 374.27 384.28 374.32 379.98 339.82
## [73] 314.08 338.50 336.62 333.05 319.73 330.36 334.59 334.68
## [81] 326.41 322.09 326.98 324.35 323.01 320.05 328.30 351.86
## [89] 357.14 357.47 371.44 377.41 361.85 359.33 361.26 363.72
## [97] 389.55 389.98 395.75 414.44 417.99 415.28 452.33 431.66
## [105] 433.27 443.88 465.21 454.78 455.85 463.55 462.23 442.84
## [113] 437.44 436.72 443.09 454.86 455.76 416.51 423.34 422.10
## [121] 433.30 425.88 430.72 434.62 433.58 430.06 433.07 431.86
## [129] 430.01 457.54 453.38 448.24 448.70 448.18 434.67 432.29
## [137] 430.26 365.07 387.15 381.73 387.03 379.74 419.63 409.75
## [145] 382.43 388.10 402.32 392.00 392.44 395.15 380.11 378.86
## [153] 378.29 369.35 372.92 374.65 370.17 388.90 386.59 376.51
## [161] 376.76 373.42 376.15 382.11 379.69 384.64 392.93 407.57
## [169] 401.43 407.66 416.57 422.73 421.60 437.77 438.99 438.26
## [177] 420.96 425.04 424.63 432.84 432.57 433.44 437.92 435.13
## [185] 423.91 421.84 410.78 400.52 407.76 414.46 413.89 414.74
## [193] 417.24 421.61 411.65 414.20 416.39 416.89 417.89 420.55
## [201] 409.27 410.40 413.42 413.13 418.16 418.42 416.51 417.36
## [209] 418.14 426.55 424.30 416.83 415.26 416.76 418.42 421.17
## [217] 421.30 421.02 424.28 423.62 422.91 420.81 419.59 421.87
## [225] 422.84 425.63 423.93 424.43 429.58 430.64 427.61 428.70
## [233] 435.32 441.42 449.69 445.86 450.56 459.12 461.65 466.26
## [241] 445.04 449.41 455.18 448.48 451.93 444.73 450.18 446.71
## [249] 447.94 459.64 458.43 458.21 460.52 450.86 452.45 454.85
## [257] 455.82 455.76 457.59 454.01 453.69 454.52 437.79 442.97
## [265] 443.22 439.35 444.29 446.06 449.67 453.52 473.03 527.48
## [273] 528.47 534.19 531.11 536.52 537.68 569.71 573.31 574.60
## [281] 585.45 577.17 582.20 575.84 578.67 609.68 671.65 704.50
## [289] 685.68 696.52 768.49 748.76 756.69 763.93 735.88 665.91
## [297] 597.44 625.58 665.28 665.93 629.35 658.10 644.12 640.59
## [305] 672.52 676.73 704.97 658.80 683.21 670.42 678.09 640.69
## [313] 666.38 650.60 648.48 648.28 664.80 652.92 659.17 663.78
## [321] 661.99 679.81 672.74 672.81 665.23 664.92 650.73 655.41
## [329] 661.26 654.23 651.63 654.49 655.11 657.01 655.10 624.60
## [337] 606.40 548.66 566.33 578.28 575.03 587.77 592.74 591.04
## [345] 587.65 592.12 588.80 587.36 585.59 570.49 567.24 577.76
## [353] 573.71 574.34 576.08 581.94 581.31 586.77 583.41 580.18
## [361] 577.75 579.45 569.83 574.07 574.11 577.59 575.55 572.41
## [369] 575.55 598.59 608.99 606.51 610.57 614.64 626.35 622.93
## [377] 623.42 607.01 608.03 608.84 610.59 607.25 607.22 606.28
## [385] 609.87 609.25 603.59 597.28 596.20 602.96 602.75 600.81
## [393] 608.02 606.24 605.02 605.72 609.93 613.95 610.97 612.05
## [401] 610.22 612.47 612.61 617.34 619.17 616.82 619.24 640.87
## [409] 636.03 637.01 640.31 639.08 641.82 639.41 638.13 630.66
## [417] 630.83 633.14 657.62 657.16 654.00 657.68 678.21 688.00
## [425] 690.29 714.12 702.64 701.34 730.07 742.35 689.12 703.53
## [433] 703.81 710.74 703.09 709.83 722.84 715.55 716.75 705.20
## [441] 702.00 705.79 711.17 744.88 740.71 751.83 751.88 731.27
## [449] 739.64 751.74 744.62 740.44 741.51 735.44 732.48 736.33
## [457] 736.28 746.05 757.54 778.25 771.64 773.39 758.72 764.21
## [465] 768.08 769.94 773.02 774.75 770.04 780.65 780.01 780.07
## [473] 778.96 785.17 791.01 790.69 792.25 800.64 834.18 864.89
## [481] 922.18 899.65 896.91 908.35 934.83 975.13 972.53 960.63
## [489] 963.66 998.62 1021.60 1044.40 1156.73 1014.24 903.49 908.17
## [497] 913.24 902.44 908.11 775.18 803.74 825.14 818.14 821.78
## [505] 830.95 909.37 888.34 898.17 895.55 922.21 925.50 910.68
## [513] 891.92 902.40 918.36 919.81 922.07 920.15 920.96 970.94
## [521] 990.00 1011.46 1031.33 1043.52 1028.40 1040.14 1062.32 1064.70
## [529] 995.63 988.90 1003.52 998.89 991.73 1006.21 1007.65 1026.12
## [537] 1049.21 1054.76 1048.69 1079.28 1114.80 1117.27 1172.71 1170.41
## [545] 1144.27 1163.78 1180.72 1180.04 1224.68 1250.71 1277.43 1254.29
## [553] 1267.47 1273.21 1223.23 1150.35 1189.36 1116.32 1176.62 1221.78
## [561] 1232.16 1240.16 1251.33 1180.16 1099.69 976.73 1037.24 1055.36
## [569] 1120.65 1050.05 1038.45 936.54 974.02 972.05 1044.58 1046.08
## [577] 1042.21 1026.64 1071.71 1080.61 1102.95 1145.52 1134.14 1125.81
## [585] 1178.94 1172.65 1176.57 1187.30 1187.46 1204.81 1201.02 1170.33
## [593] 1167.30 1172.61 1183.25 1193.77 1212.13 1211.08 1229.42 1222.71
## [601] 1231.92 1209.63 1250.45 1265.99 1281.88 1317.74 1317.84 1321.87
## [609] 1348.30 1421.03 1453.78 1490.72 1540.87 1556.81 1579.47 1596.92
## [617] 1723.89 1756.52 1780.37 1845.76 1723.12 1800.86 1808.44 1741.70
## [625] 1726.73 1818.70 1897.37 1984.24 2067.03 2043.19 2191.56 2321.37
## [633] 2446.24 2320.89 2196.27 2054.08 2159.43 2255.36 2187.19 2288.33
## [641] 2404.03 2493.72 2547.79 2512.40 2690.84 2869.38 2720.49 2807.44
## [649] 2828.14 2942.41 2953.22 2680.91 2716.88 2499.58 2469.57 2514.01
## [657] 2655.35 2549.03 2591.26 2709.43 2691.03 2707.34 2738.52 2607.25
## [665] 2590.57 2478.45 2553.03 2567.56 2539.24 2492.60 2436.40 2498.56
## [673] 2561.00 2602.87 2608.10 2608.59 2520.27 2572.61 2525.25 2385.89
## [681] 2332.77 2402.70 2360.59 2230.12 1991.98 1932.62 2233.52 2323.08
## [689] 2269.89 2838.41 2668.63 2808.10 2732.70 2757.50 2577.77 2538.71
## [697] 2679.73 2807.02 2724.39 2763.24 2871.30 2727.13 2709.56 2806.93
## [705] 2897.63 3257.61 3212.78 3370.22 3420.40 3341.84 3373.82 3650.63
## [713] 3880.04 4066.10 4326.99 4200.34 4384.44 4324.34 4137.75 4189.31
## [721] 4090.48 3998.35 4089.01 4137.60 4332.82 4372.06 4345.10 4384.45
## [729] 4389.21 4570.36 4555.59 4701.76 4901.42 4585.27 4591.63 4228.29
## [737] 4376.59 4589.14 4605.16 4229.81 4229.34 4122.47 4168.88 4131.98
## [745] 3875.37 3166.30 3637.75 3606.28 3591.09 4073.79 3916.36 3901.47
## [753] 3628.02 3629.92 3796.15 3681.58 3928.41 3892.94 4197.13 4171.62
## [761] 4166.11 4341.05 4395.81 4408.46 4319.37 4229.88 4324.46 4369.35
## [769] 4429.67 4614.52 4776.21 4789.25 4829.58 5464.16 5643.53 5835.96
## [777] 5687.57 5741.58 5603.82 5583.74 5708.11 5996.79 6036.66 6006.00
## [785] 5935.52 5524.60 5747.95 5899.74 5787.82 5754.44 6114.85 6132.02
## [793] 6440.97 6777.77 7087.53 7164.48 7404.52 7403.22 7023.10 7141.38
## [801] 7446.83 7173.73 6618.61 6295.45 5938.25 6561.48 6634.76 7323.24
## [809] 7853.57 7697.21 7766.03 8039.07 8205.74 8077.95 8232.38 8074.02
## [817] 8241.71 8789.04 9352.72 9823.43 10077.40 9906.79 10198.60 10978.30
## [825] 11082.70 11315.40 11685.70 11923.40 14266.10 17802.90 16523.30 15168.40
## [833] 15427.40 16919.80 17500.00 16384.60 16601.30 17760.30 19475.80 19106.40
## [841] 19118.30 17760.30 16642.40 15898.00 13948.70 14608.20 13995.90 14036.60
## [849] 16163.50 15864.10 14695.80 14681.90 12897.70 14112.20 13625.00 14978.20
## [857] 15270.70 15477.20 17462.10 17527.30 16476.20 15123.70 14588.50 14968.20
## [865] 13453.90 13952.40 14370.80 13767.30 13836.10 11431.10 11198.80 11429.80
## [873] 11656.20 12889.20 11633.10 10944.50 10903.40 11421.70 11256.00 11174.90
## [881] 11475.30 11755.50 11306.80 10108.20 10237.30 9142.28 8852.12 9175.70
## [889] 8270.54 7051.75 7755.49 7637.86 8271.84 8720.08 8616.13 8141.43
## [897] 8926.72 8599.92 9488.32 10135.70 10207.50 11123.40 10552.60 11231.80
## [905] 11372.20 10660.40 9937.07 10287.70 9796.42 9669.43 10393.90 10687.20
## [913] 10385.00 10977.40 11101.90 11497.40 11532.40 11500.10 10803.90 9951.44
## [921] 9414.69 9350.59 8852.78 9602.93 9173.04 9214.65 8290.76 8322.91
## [929] 8321.91 7890.52 8344.12 8619.67 8937.48 8939.44 8736.25 8901.95
## [937] 8612.81 8498.47 8200.00 7836.83 7979.07 7171.45 6892.48 7003.06
## [945] 6844.86 7102.26 7456.41 6848.65 6815.96 6630.51 6919.98 7044.32
## [953] 6795.44 6843.47 6955.38 7901.09 7874.67 7999.33 8337.57 8071.66
## [961] 7944.43 8159.27 8286.88 8848.79 8925.06 8794.39 8934.34 9701.03
## [969] 8867.32 9290.63 8939.27 9346.41 9426.11 9251.47 9104.60 9233.97
## [977] 9695.50 9700.28 9845.31 9645.67 9380.87 9223.73 9325.96 9052.96
## [985] 8441.44 8515.49 8713.10 8705.19 8504.41 8370.05 8091.83 8255.73
## [993] 8246.99 8522.33 8419.87 8037.08 7561.12 7592.30 7486.48 7362.08
## [1001] 7371.31 7129.46 7469.73 7406.15 7500.70 7536.72 7632.09 7722.53
## [1009] 7500.90 7625.97 7650.82 7685.14 7632.52 7499.55 6799.29 6905.82
## [1017] 6596.88 6342.75 6674.08 6455.45 6545.53 6510.07 6742.39 6770.76
## [1025] 6780.09 6737.88 6090.10 6164.28 6171.97 6253.55 6084.40 6153.16
## [1033] 5898.13 6214.22 6411.68 6380.38 6596.66 6550.87 6599.71 6638.69
## [1041] 6668.71 6857.80 6775.08 6739.21 6330.77 6396.78 6235.03 6247.50
## [1049] 6272.70 6357.01 6739.65 7315.32 7378.20 7467.40 7352.72 7417.80
## [1057] 7414.71 7716.51 8379.66 8176.85 7950.40 8169.06 8205.82 8221.58
## [1065] 8181.20 7769.04 7634.19 7562.14 7438.67 7031.08 7062.94 6958.32
## [1073] 6746.85 6305.56 6571.42 6185.79 6283.65 6341.36 6287.66 6221.42
## [1081] 6294.23 6340.91 6583.43 6422.57 6500.51 6301.07 6486.25 6371.34
## [1089] 6551.52 6719.95 6754.64 6710.80 6891.08 7091.71 7043.76 6973.97
## [1097] 7044.81 7189.58 7279.03 7263.00 7361.46 6755.14 6528.92 6460.17
## [1105] 6223.38 6301.57 6331.88 6317.01 6354.24 6515.41 6509.40 6536.68
## [1113] 6514.06 6280.91 6371.85 6398.85 6513.87 6735.05 6715.32 6704.77
## [1121] 6603.64 6452.79 6495.29 6678.75 6643.10 6604.71 6619.85 6593.24
## [1129] 6553.86 6497.91 6574.15 6622.45 6590.68 6600.19 6653.08 6640.29
## [1137] 6586.74 6239.25 6278.08 6288.49 6292.64 6601.41 6590.52 6542.33
## [1145] 6478.07 6460.92 6490.09 6486.05 6472.36 6478.89 6484.65 6468.44
## [1153] 6480.84 6482.66 6492.35 6337.04 6336.99 6318.14 6378.92 6387.24
## [1161] 6365.47 6363.62 6433.38 6468.50 6522.27 6442.60 6386.13 6413.63
## [1169] 6411.76 6373.19 6351.24 5736.15 5645.32 5578.58 5559.74 5620.78
## [1177] 4863.93 4465.54 4611.57 4360.70 4347.69 3880.78 4015.07 3765.95
## [1185] 3822.47 4269.00 4289.09 4024.46 4200.73 4147.32 3886.29 3958.89
## [1193] 3754.07 3512.59 3421.91 3473.23 3612.05 3497.55 3421.46 3487.88
## [1201] 3311.75 3244.00 3236.27 3253.12 3544.76 3706.82 3742.20 4133.70
## [1209] 3898.08 4020.99 4000.33 4081.03 3819.67 3854.69 3653.13 3932.49
## [1217] 3822.38 3866.84 3746.71 3849.22 3931.05 3832.04 3851.97 3836.52
## [1225] 4078.59 4028.47 4031.55 4034.41 3674.02 3686.97 3658.87 3557.31
## [1233] 3704.22 3631.51 3651.87LTCPrice<-ltc2$`price(USD)`
LTCPrice## [1] 2.85 2.82 2.80 2.64 2.70 2.92 3.04 3.05 3.05 2.92
## [11] 2.95 2.96 2.82 2.81 2.84 2.83 2.81 2.91 2.95 2.88
## [21] 2.85 2.80 2.86 2.87 2.93 2.89 2.89 2.88 3.10 2.97
## [31] 3.01 3.00 3.00 3.03 3.02 3.02 3.15 3.06 3.07 3.11
## [41] 3.11 3.15 3.14 3.18 3.15 3.11 3.11 3.07 3.03 3.05
## [51] 3.09 3.08 3.12 3.11 3.11 3.07 3.11 3.10 3.10 3.77
## [61] 4.08 3.82 3.98 4.17 4.58 4.20 3.95 3.55 3.62 3.43
## [71] 3.40 3.12 2.97 3.27 3.22 3.20 3.07 3.19 3.20 3.19
## [81] 3.14 3.12 3.16 3.14 3.13 3.11 3.35 3.60 3.58 3.53
## [91] 3.66 3.63 3.43 3.35 3.38 3.37 3.53 3.45 3.65 3.68
## [101] 3.67 3.67 3.84 3.60 3.64 3.62 3.84 3.70 3.75 3.77
## [111] 3.74 3.55 3.46 3.43 3.59 3.65 3.64 3.42 3.48 3.47
## [121] 3.51 3.46 3.48 3.52 3.50 3.48 3.49 3.47 3.45 3.60
## [131] 3.57 3.56 3.53 3.55 3.49 3.47 3.46 2.97 3.09 3.02
## [141] 3.05 3.01 3.38 3.23 3.08 3.11 3.19 3.13 3.16 3.29
## [151] 3.14 3.12 3.10 3.07 3.09 3.09 3.06 3.17 3.15 3.11
## [161] 3.09 3.08 3.09 3.11 3.09 3.12 3.15 3.23 3.20 3.23
## [171] 3.25 3.26 3.27 3.46 3.47 3.49 3.40 3.39 3.37 3.43
## [181] 3.41 3.44 3.45 3.43 3.36 3.32 3.25 3.19 3.22 3.27
## [191] 3.25 3.28 3.29 3.39 3.29 3.31 3.30 3.31 3.31 3.31
## [201] 3.17 3.18 3.21 3.20 3.23 3.25 3.23 3.23 3.23 3.30
## [211] 3.26 3.23 3.23 3.25 3.25 3.26 3.26 3.25 3.26 3.26
## [221] 3.24 3.22 3.22 3.23 3.24 3.26 3.25 3.24 3.28 3.28
## [231] 3.26 3.25 3.29 3.28 3.35 3.32 3.35 3.62 3.80 4.05
## [241] 3.88 3.79 3.81 3.66 3.71 3.68 3.74 3.74 3.72 3.82
## [251] 3.94 3.94 4.06 3.82 3.88 3.86 3.93 4.01 4.06 4.00
## [261] 3.98 4.00 3.82 3.88 3.96 3.92 3.96 3.95 4.05 4.09
## [271] 4.51 4.69 4.63 4.69 4.65 4.74 4.72 4.86 4.80 4.81
## [281] 4.95 4.77 4.78 4.75 4.88 5.07 5.41 5.31 5.22 5.25
## [291] 5.67 5.60 5.56 5.63 5.27 4.83 3.92 3.85 4.27 4.24
## [301] 4.05 4.14 4.10 4.08 4.19 4.28 4.66 4.27 4.56 4.46
## [311] 4.50 4.12 4.24 4.12 4.12 4.09 4.16 4.14 4.15 4.15
## [321] 4.14 4.20 4.15 4.15 4.13 4.13 4.04 4.06 4.07 4.04
## [331] 3.96 3.97 3.97 4.08 4.08 4.06 3.87 3.64 3.71 3.74
## [341] 3.72 3.76 3.77 3.78 3.76 3.72 3.74 3.71 3.72 3.65
## [351] 3.59 3.65 3.60 3.61 3.61 3.62 3.62 3.66 3.93 3.86
## [361] 3.80 3.82 3.74 3.74 3.77 3.81 3.80 3.84 3.83 3.89
## [371] 4.02 3.98 3.99 3.97 3.98 3.97 3.97 3.87 3.83 3.82
## [381] 3.83 3.82 3.80 3.81 4.04 3.83 3.87 3.86 3.77 3.81
## [391] 3.80 3.80 3.86 3.85 3.84 3.84 3.85 3.85 3.85 3.84
## [401] 3.83 3.85 3.84 3.86 3.84 3.82 3.80 3.82 3.75 3.91
## [411] 3.90 3.88 3.89 3.95 3.85 3.81 3.79 3.81 3.89 3.92
## [421] 3.87 3.91 3.96 4.04 3.98 4.10 4.04 4.00 4.09 4.11
## [431] 3.86 3.88 3.86 3.89 3.84 3.85 3.86 3.84 3.81 3.77
## [441] 3.88 3.89 3.90 4.06 3.96 3.98 3.97 3.93 3.95 3.97
## [451] 3.93 3.91 3.92 3.91 3.90 3.89 3.89 3.91 3.92 3.95
## [461] 3.93 3.88 3.49 3.54 3.60 3.69 3.69 3.69 3.64 3.67
## [471] 3.66 3.61 3.63 3.63 3.70 3.68 3.66 3.66 3.67 3.72
## [481] 4.65 4.56 4.35 4.37 4.49 4.58 4.56 4.39 4.33 4.52
## [491] 4.66 4.63 4.91 4.30 3.86 3.96 4.00 4.30 4.60 3.84
## [501] 3.95 3.89 3.89 3.92 3.91 3.94 3.84 3.86 3.89 3.90
## [511] 3.86 3.84 3.79 3.71 3.84 3.85 3.85 3.86 4.02 4.08
## [521] 4.08 4.08 4.08 4.07 4.06 4.05 4.05 4.03 3.80 3.78
## [531] 3.80 3.77 3.72 3.77 3.80 3.78 3.83 3.79 3.77 3.76
## [541] 3.79 3.80 3.83 3.85 3.82 3.81 3.80 3.77 3.80 3.92
## [551] 3.91 3.86 3.87 3.89 3.81 3.77 3.83 3.76 3.79 3.85
## [561] 4.17 4.05 4.15 4.23 4.04 3.96 3.95 4.04 3.99 3.93
## [571] 3.97 4.07 4.07 4.07 4.07 4.14 4.18 7.02 6.65 6.86
## [581] 7.74 8.12 8.25 11.12 10.22 9.34 9.89 8.72 8.91 8.83
## [591] 10.76 10.13 10.34 10.75 10.60 10.42 10.31 9.63 10.29 11.18
## [601] 13.07 13.96 14.98 15.21 14.84 14.59 14.40 15.70 15.71 15.92
## [611] 15.88 21.04 23.47 26.47 28.20 30.37 28.96 33.30 32.66 30.93
## [621] 27.22 29.09 28.89 25.34 23.24 25.17 28.29 27.68 27.48 26.14
## [631] 25.30 32.12 34.47 30.33 23.40 24.01 24.32 25.32 24.29 25.34
## [641] 28.90 29.04 27.65 28.09 30.84 30.57 28.38 30.19 29.68 30.50
## [651] 33.23 29.49 30.74 30.22 30.28 36.18 47.44 46.16 50.41 47.30
## [661] 47.72 47.75 47.25 44.49 44.04 41.13 40.82 42.83 41.04 40.40
## [671] 38.95 41.48 46.56 55.27 53.20 51.10 46.64 52.36 49.91 46.27
## [681] 45.26 48.72 46.36 42.81 38.92 41.19 42.62 44.35 40.96 45.07
## [691] 45.77 46.63 44.16 44.48 42.29 42.35 42.22 40.56 41.18 40.34
## [701] 43.02 43.07 42.19 42.89 43.49 46.85 45.17 45.90 48.59 48.05
## [711] 46.40 47.05 46.57 45.83 45.81 43.37 44.18 43.90 47.05 45.38
## [721] 46.19 47.90 46.71 52.82 50.17 51.17 51.80 61.36 62.39 63.16
## [731] 64.16 70.86 85.83 78.98 76.73 65.25 71.78 79.88 78.45 67.21
## [741] 65.80 61.65 66.24 64.32 61.64 41.69 48.13 48.23 48.53 55.68
## [751] 52.74 51.66 46.65 48.16 49.25 47.62 51.69 51.58 56.21 54.11
## [761] 52.63 55.14 54.55 53.39 52.28 51.40 51.64 52.14 52.49 53.08
## [771] 50.15 50.75 50.89 60.55 59.41 64.13 65.72 64.67 59.59 60.82
## [781] 59.81 60.30 58.27 56.77 54.96 55.95 56.47 55.67 55.38 54.67
## [791] 56.84 56.37 55.74 53.56 54.58 56.22 55.03 54.76 54.99 61.11
## [801] 62.49 64.44 59.35 62.31 59.18 61.64 62.78 63.81 70.45 67.41
## [811] 69.51 71.41 72.20 70.18 71.98 73.14 77.91 88.94 85.89 91.72
## [821] 96.01 86.25 88.00 98.94 100.19 101.40 104.28 102.48 99.98 98.33
## [831] 127.48 155.63 148.26 212.46 315.36 301.20 280.97 299.34 301.78 318.95
## [841] 359.13 349.60 314.66 319.26 269.27 291.01 277.49 273.11 286.59 272.13
## [851] 250.35 245.09 216.98 231.67 228.99 255.70 245.48 241.03 249.77 296.05
## [861] 287.73 254.61 248.07 251.52 229.79 236.88 260.58 237.29 232.82 190.15
## [871] 186.95 191.19 194.38 211.24 191.79 180.28 178.43 181.56 179.82 176.66
## [881] 181.42 193.75 181.45 165.30 163.68 142.56 131.40 160.38 148.73 127.52
## [891] 142.48 138.34 149.73 163.49 155.39 150.10 161.77 159.58 212.35 225.50
## [901] 229.50 230.51 215.41 223.09 230.95 212.84 194.19 210.64 208.13 222.14
## [911] 221.71 217.28 203.12 209.55 213.84 210.24 213.74 210.51 196.83 185.70
## [921] 176.48 188.11 177.51 189.02 177.60 175.94 161.20 164.82 165.19 152.54
## [931] 155.48 161.52 169.56 168.72 163.58 168.53 158.86 160.16 148.96 135.49
## [941] 131.93 114.80 118.64 116.90 115.24 119.51 133.91 118.21 118.82 113.14
## [951] 116.29 117.78 115.21 114.29 118.29 129.27 125.22 126.67 131.97 128.71
## [961] 132.38 140.04 146.50 155.68 148.61 146.67 152.57 165.09 144.70 153.44
## [971] 145.74 152.16 153.65 148.34 148.45 151.86 160.47 168.35 178.02 171.76
## [981] 164.83 159.62 157.15 149.45 137.26 141.80 144.62 147.49 139.65 139.56
## [991] 132.70 135.96 135.27 139.64 134.26 128.81 119.19 122.56 119.35 118.50
## [1001] 117.93 111.84 119.54 117.32 118.03 119.83 123.29 125.21 119.90 121.89
## [1011] 121.34 121.52 120.11 117.56 106.54 107.43 100.80 93.99 101.11 96.58
## [1021] 97.72 95.77 98.73 98.96 97.88 96.94 85.09 82.74 80.37 81.82
## [1031] 76.93 80.63 74.81 78.95 81.50 80.27 85.39 85.17 85.65 83.84
## [1041] 83.40 86.26 82.54 80.78 76.13 78.59 77.29 76.97 76.70 78.96
## [1051] 84.30 89.82 86.90 86.68 82.66 84.26 83.23 82.68 88.66 86.28
## [1061] 83.73 84.54 84.05 84.15 82.69 80.39 77.71 76.30 77.42 73.38
## [1071] 75.06 74.00 68.16 62.47 63.98 59.49 58.22 59.48 57.00 54.68
## [1081] 54.54 55.33 61.56 57.22 57.91 53.77 56.66 55.19 57.60 57.92
## [1091] 58.05 57.26 60.23 63.03 61.77 60.42 61.74 65.98 65.82 65.32
## [1101] 67.67 58.32 57.34 56.13 53.27 54.99 54.61 52.39 51.88 54.65
## [1111] 56.34 56.58 57.02 52.29 54.02 54.37 56.78 60.81 60.55 61.34
## [1121] 58.02 57.45 57.45 63.17 61.64 61.63 61.10 60.30 59.58 57.52
## [1131] 58.33 58.88 57.93 58.23 59.45 58.66 57.98 50.87 53.46 53.51
## [1141] 52.17 54.97 54.26 53.72 52.55 53.07 53.43 52.78 52.24 52.46
## [1151] 52.49 52.22 52.13 52.05 51.83 49.00 49.34 49.56 50.34 51.30
## [1161] 50.99 53.59 53.70 56.04 54.19 52.36 51.93 52.32 51.48 50.63
## [1171] 49.58 43.73 43.96 42.49 42.09 42.34 36.57 33.07 34.69 32.02
## [1181] 32.26 29.23 30.87 29.41 31.12 34.72 33.80 32.13 34.26 33.81
## [1191] 31.01 31.22 29.25 26.91 25.13 24.80 25.91 24.60 23.80 24.53
## [1201] 23.65 23.46 23.79 25.68 29.27 30.33 29.60 32.73 30.83 31.99
## [1211] 33.47 33.40 31.09 30.96 28.30 32.56 31.42 31.98 30.46 32.02
## [1221] 33.35 32.02 32.35 34.85 39.28 37.92 39.45 38.99 33.68 32.46
## [1231] 32.40 30.38 32.38 31.44 31.85ETHPrice<-eth2$`price(USD)`
ETHPrice## [1] 1.350000 1.350000 1.300000 1.260000 1.280000 1.340000
## [7] 1.300000 1.250000 1.240000 1.210000 1.160000 0.987228
## [13] 1.040000 0.940566 0.875189 0.941977 0.906865 0.874574
## [19] 0.849603 0.881191 0.941496 0.919337 0.903560 0.896796
## [25] 0.820031 0.737630 0.791277 0.723715 0.579414 0.661192
## [31] 0.734307 0.683732 0.678783 0.686343 0.666784 0.622218
## [37] 0.650515 0.609501 0.655084 0.641187 0.627461 0.634515
## [43] 0.627943 0.612240 0.523278 0.562593 0.534117 0.547913
## [49] 0.517621 0.489629 0.431589 0.444988 0.566370 0.539681
## [55] 0.563207 0.619743 0.708890 0.870938 1.010000 1.210000
## [61] 1.050000 0.920847 1.060000 0.994568 1.010000 0.900699
## [67] 0.904772 0.923732 0.915661 1.030000 1.000000 0.941296
## [73] 0.796455 0.907722 0.905469 0.891217 0.906166 0.924948
## [79] 0.993214 0.988713 0.955735 0.928758 0.979765 0.967493
## [85] 0.946442 0.893827 0.863273 0.882100 0.868102 0.914144
## [91] 0.879951 0.878316 0.873171 0.818546 0.812082 0.841195
## [97] 0.866417 0.836322 0.806024 0.824454 0.795590 0.839995
## [103] 0.931196 0.971538 0.956620 0.990589 1.020000 0.993043
## [109] 0.938327 0.921524 0.908240 0.906065 0.894973 0.861782
## [115] 0.859433 0.861993 0.870766 0.853166 0.856356 0.843835
## [121] 0.874258 0.912098 0.933712 0.947401 0.938430 0.972045
## [127] 0.953147 0.950028 0.955801 0.942752 0.985501 0.985557
## [133] 0.999216 1.070000 1.140000 1.120000 1.180000 1.220000
## [139] 1.220000 1.330000 1.420000 1.360000 1.530000 1.550000
## [145] 1.500000 1.900000 2.150000 2.530000 2.250000 2.410000
## [151] 2.540000 2.510000 2.440000 2.320000 2.220000 2.430000
## [157] 2.530000 2.570000 2.530000 2.540000 2.970000 3.170000
## [163] 4.000000 4.500000 5.950000 5.690000 5.400000 5.330000
## [169] 5.330000 4.290000 3.770000 4.380000 4.680000 4.360000
## [175] 4.660000 5.680000 5.600000 6.190000 6.040000 5.960000
## [181] 6.410000 6.460000 6.320000 7.630000 8.440000 9.240000
## [187] 10.370000 11.200000 11.430000 9.580000 9.790000 11.880000
## [193] 11.220000 11.130000 13.510000 14.510000 13.000000 13.020000
## [199] 12.560000 11.110000 11.200000 10.520000 10.300000 11.880000
## [205] 11.330000 12.440000 11.260000 10.770000 10.990000 10.430000
## [211] 11.750000 11.610000 11.920000 11.400000 11.630000 11.630000
## [217] 11.620000 11.210000 10.450000 10.700000 10.080000 9.690000
## [223] 9.150000 8.940000 8.640000 7.440000 8.080000 8.390000
## [229] 8.240000 8.620000 9.330000 9.080000 8.690000 8.450000
## [235] 8.150000 7.790000 8.290000 8.010000 7.530000 7.390000
## [241] 7.740000 7.210000 7.450000 8.780000 8.890000 10.170000
## [247] 9.380000 9.400000 9.810000 9.320000 9.370000 9.490000
## [253] 9.280000 9.430000 10.000000 10.060000 10.510000 10.240000
## [259] 9.970000 11.190000 12.180000 13.540000 14.850000 13.690000
## [265] 14.040000 14.280000 13.310000 12.790000 12.520000 12.390000
## [271] 11.330000 12.110000 12.330000 12.740000 14.110000 13.990000
## [277] 13.740000 13.860000 13.760000 14.000000 13.950000 14.510000
## [283] 14.430000 14.380000 13.910000 14.190000 15.770000 17.610000
## [289] 18.910000 18.360000 20.650000 15.380000 11.170000 12.240000
## [295] 11.820000 13.200000 13.220000 13.680000 14.300000 14.260000
## [301] 13.810000 13.930000 12.170000 12.600000 12.440000 12.220000
## [307] 12.120000 11.700000 11.460000 10.580000 10.540000 10.120000
## [313] 11.420000 10.960000 10.940000 10.450000 10.510000 10.600000
## [319] 11.500000 11.920000 11.620000 11.170000 11.050000 11.590000
## [325] 12.460000 12.660000 14.670000 14.300000 12.740000 13.820000
## [331] 12.050000 12.980000 12.840000 12.800000 12.440000 11.890000
## [337] 10.950000 8.880000 10.310000 11.020000 10.920000 10.860000
## [343] 10.910000 11.270000 12.230000 12.140000 11.690000 11.770000
## [349] 11.580000 11.200000 11.230000 11.130000 10.750000 10.750000
## [355] 10.750000 11.250000 11.190000 11.140000 11.020000 11.030000
## [361] 11.350000 11.290000 11.150000 10.920000 10.990000 11.240000
## [367] 11.670000 11.960000 12.110000 11.750000 11.680000 11.730000
## [373] 11.690000 11.550000 11.410000 11.660000 12.210000 11.640000
## [379] 11.890000 11.900000 11.940000 11.960000 12.560000 12.690000
## [385] 12.440000 13.210000 14.430000 13.660000 13.210000 13.320000
## [391] 12.850000 13.170000 12.860000 13.110000 13.280000 13.080000
## [397] 13.200000 13.180000 13.200000 13.450000 13.280000 13.030000
## [403] 12.850000 12.670000 12.220000 12.060000 11.760000 11.780000
## [409] 11.910000 11.990000 11.940000 11.980000 11.960000 12.000000
## [415] 12.590000 12.050000 12.130000 12.180000 12.130000 12.040000
## [421] 11.970000 11.380000 11.530000 11.470000 11.100000 10.430000
## [427] 11.230000 10.960000 10.770000 10.800000 10.820000 11.090000
## [433] 10.990000 10.900000 10.850000 10.820000 10.670000 10.510000
## [439] 10.290000 9.890000 10.100000 9.970000 10.220000 10.060000
## [445] 9.990000 9.480000 9.660000 9.580000 9.630000 9.920000
## [451] 9.850000 9.230000 9.420000 9.310000 9.000000 8.730000
## [457] 8.160000 8.600000 8.460000 7.770000 7.900000 7.410000
## [463] 6.800000 7.890000 8.380000 8.170000 8.440000 8.130000
## [469] 8.190000 8.520000 8.450000 8.240000 7.860000 7.860000
## [475] 7.860000 7.870000 7.630000 7.660000 7.900000 7.580000
## [481] 7.150000 7.260000 7.130000 7.280000 7.150000 7.540000
## [487] 8.290000 8.150000 7.980000 8.170000 8.370000 9.710000
## [493] 11.290000 10.290000 10.240000 9.870000 10.310000 10.370000
## [499] 10.540000 9.720000 9.830000 9.790000 9.830000 9.880000
## [505] 9.640000 10.300000 10.240000 10.390000 10.600000 10.910000
## [511] 10.710000 10.730000 10.620000 10.570000 10.580000 10.540000
## [517] 10.560000 10.490000 10.560000 10.740000 10.740000 10.810000
## [523] 11.130000 11.440000 11.350000 11.430000 11.540000 11.440000
## [529] 11.050000 11.290000 11.350000 11.380000 11.290000 13.040000
## [535] 12.920000 12.900000 12.710000 12.820000 12.770000 12.340000
## [541] 12.690000 12.600000 13.130000 13.060000 13.520000 14.510000
## [547] 15.450000 15.850000 17.360000 19.040000 19.520000 18.500000
## [553] 19.280000 19.580000 18.880000 16.640000 17.740000 19.370000
## [559] 21.460000 23.500000 28.570000 28.650000 35.360000 45.930000
## [565] 46.870000 35.530000 44.830000 43.510000 43.120000 42.570000
## [571] 43.640000 53.580000 50.770000 51.310000 49.710000 50.570000
## [577] 53.120000 51.750000 50.030000 50.740000 48.820000 43.920000
## [583] 44.660000 45.220000 42.870000 41.800000 44.280000 43.280000
## [589] 43.500000 43.460000 46.310000 49.970000 47.650000 49.040000
## [595] 48.660000 48.320000 50.730000 48.130000 49.640000 48.180000
## [601] 48.590000 48.870000 50.070000 49.910000 52.810000 62.230000
## [607] 71.390000 68.540000 79.320000 76.650000 77.250000 79.720000
## [613] 96.730000 94.910000 97.870000 93.750000 91.230000 91.150000
## [619] 89.770000 89.430000 88.690000 90.870000 90.780000 92.390000
## [625] 89.250000 89.840000 97.050000 129.220000 127.540000 158.170000
## [631] 170.820000 182.650000 189.850000 175.220000 159.820000 158.820000
## [637] 170.130000 195.610000 231.580000 230.890000 222.290000 223.460000
## [643] 224.120000 245.260000 248.600000 264.260000 257.990000 261.750000
## [649] 282.010000 338.790000 341.160000 395.690000 397.590000 358.510000
## [655] 361.180000 369.880000 379.520000 371.860000 370.330000 359.540000
## [661] 337.730000 336.480000 341.630000 323.470000 302.950000 272.690000
## [667] 293.040000 328.370000 303.150000 293.350000 275.120000 288.410000
## [673] 282.190000 273.100000 268.860000 270.350000 245.890000 251.820000
## [679] 243.010000 211.520000 197.150000 231.810000 209.530000 199.710000
## [685] 169.570000 159.990000 195.030000 234.940000 205.420000 226.060000
## [691] 217.860000 229.120000 226.290000 224.370000 207.090000 204.860000
## [697] 204.320000 193.340000 206.740000 197.400000 204.690000 227.010000
## [703] 220.180000 225.310000 222.850000 256.420000 261.240000 269.100000
## [709] 297.630000 296.960000 294.490000 308.710000 310.370000 298.030000
## [715] 299.950000 289.820000 302.800000 301.700000 296.180000 296.640000
## [721] 300.480000 321.050000 315.270000 317.450000 326.110000 331.990000
## [727] 334.360000 350.040000 347.960000 369.470000 378.440000 383.470000
## [733] 387.820000 350.230000 347.130000 297.570000 313.800000 333.520000
## [739] 329.640000 296.170000 294.060000 289.740000 294.630000 291.120000
## [745] 276.590000 215.220000 250.870000 245.850000 252.230000 293.660000
## [751] 282.020000 283.260000 258.110000 264.600000 286.210000 282.220000
## [757] 292.350000 287.020000 306.470000 299.120000 291.480000 301.550000
## [763] 302.480000 297.480000 292.750000 292.770000 295.150000 308.890000
## [769] 311.060000 308.670000 297.600000 301.180000 303.500000 304.080000
## [775] 338.850000 339.530000 336.710000 333.480000 316.940000 314.540000
## [781] 308.050000 303.570000 300.550000 295.100000 287.120000 298.440000
## [787] 298.020000 296.510000 297.920000 296.380000 304.780000 307.380000
## [793] 305.760000 290.730000 288.500000 305.480000 300.040000 296.430000
## [799] 298.570000 294.270000 308.640000 320.670000 298.590000 314.690000
## [805] 307.020000 316.760000 337.960000 333.440000 330.170000 331.980000
## [811] 347.400000 354.090000 367.440000 360.310000 381.440000 412.500000
## [817] 475.680000 465.970000 471.530000 480.520000 473.280000 431.210000
## [823] 445.210000 466.850000 463.700000 466.050000 470.290000 462.600000
## [829] 426.370000 434.990000 457.340000 472.790000 440.360000 522.290000
## [835] 644.910000 700.590000 696.380000 686.190000 696.240000 721.730000
## [841] 793.900000 827.520000 820.240000 822.640000 681.320000 721.770000
## [847] 698.870000 763.370000 774.970000 762.210000 740.390000 753.820000
## [853] 712.210000 755.760000 772.350000 886.000000 961.710000 975.750000
## [859] 995.150000 1043.010000 1158.260000 1146.000000 1300.340000 1268.090000
## [865] 1158.290000 1270.470000 1397.480000 1365.210000 1292.630000 1061.340000
## [871] 1016.440000 1028.820000 1044.950000 1155.680000 1055.350000 1004.170000
## [877] 987.480000 1063.220000 1052.700000 1055.750000 1111.780000 1246.700000
## [883] 1184.130000 1071.090000 1119.370000 1035.770000 919.210000 964.670000
## [889] 834.960000 707.740000 790.430000 755.840000 818.480000 882.470000
## [895] 859.290000 817.510000 869.290000 844.280000 923.730000 934.790000
## [901] 944.750000 973.350000 921.670000 943.570000 894.140000 849.260000
## [907] 811.590000 861.590000 839.460000 845.280000 870.360000 877.930000
## [913] 856.010000 871.760000 856.710000 856.190000 866.850000 853.820000
## [919] 816.270000 752.570000 702.200000 730.160000 685.310000 724.410000
## [925] 698.150000 691.220000 614.840000 611.780000 601.680000 551.640000
## [931] 546.630000 556.720000 559.100000 562.100000 539.860000 542.570000
## [937] 522.700000 524.290000 489.590000 450.290000 448.080000 385.900000
## [943] 395.000000 397.250000 379.700000 387.310000 416.480000 379.950000
## [949] 382.730000 370.380000 385.740000 400.860000 399.410000 415.020000
## [955] 430.160000 493.160000 492.580000 502.880000 532.070000 511.140000
## [961] 503.310000 524.040000 567.990000 616.000000 606.120000 621.200000
## [967] 643.400000 707.060000 618.080000 662.110000 644.650000 683.910000
## [973] 689.760000 670.460000 674.080000 686.590000 776.780000 784.580000
## [979] 816.090000 793.340000 755.010000 752.900000 752.580000 727.010000
## [985] 679.880000 687.170000 732.730000 731.140000 708.090000 708.720000
## [991] 672.100000 695.070000 697.920000 717.190000 700.180000 646.670000
## [997] 584.540000 602.140000 587.430000 588.520000 573.040000 516.150000
## [1003] 566.830000 558.500000 578.670000 580.430000 591.260000 619.440000
## [1009] 593.410000 610.260000 607.690000 605.440000 600.910000 594.340000
## [1015] 524.860000 532.710000 498.020000 478.380000 520.480000 490.410000
## [1021] 499.460000 499.380000 519.020000 538.510000 536.450000 527.190000
## [1027] 466.270000 474.770000 455.940000 460.730000 432.240000 442.290000
## [1033] 422.590000 436.210000 455.240000 453.820000 475.390000 464.150000
## [1039] 467.290000 474.360000 474.060000 492.070000 488.880000 476.160000
## [1045] 434.520000 446.500000 430.740000 434.510000 435.880000 450.420000
## [1051] 480.080000 500.840000 480.630000 469.310000 450.680000 462.440000
## [1057] 459.440000 451.140000 479.910000 472.330000 464.010000 469.680000
## [1063] 466.920000 466.830000 457.250000 433.870000 420.810000 412.570000
## [1069] 418.240000 407.350000 410.570000 406.800000 379.890000 356.970000
## [1075] 365.780000 334.260000 320.820000 320.210000 286.370000 280.390000
## [1081] 282.740000 287.680000 316.790000 295.670000 301.380000 273.330000
## [1087] 281.970000 271.750000 278.110000 283.280000 279.520000 275.350000
## [1093] 286.650000 296.160000 289.750000 284.120000 283.500000 295.450000
## [1099] 295.180000 289.300000 286.050000 231.650000 229.530000 217.910000
## [1105] 198.380000 197.850000 198.180000 185.420000 183.680000 212.670000
## [1111] 209.810000 222.800000 221.580000 197.090000 209.470000 210.290000
## [1117] 225.250000 247.340000 240.990000 244.840000 228.330000 218.650000
## [1123] 215.440000 229.040000 221.710000 231.330000 233.220000 231.100000
## [1129] 226.410000 220.450000 222.270000 227.550000 225.440000 226.510000
## [1135] 229.710000 227.620000 225.610000 188.710000 196.360000 199.690000
## [1141] 195.270000 209.630000 210.220000 207.400000 203.260000 203.510000
## [1147] 205.390000 205.170000 204.020000 204.130000 203.870000 202.340000
## [1153] 203.360000 204.510000 205.170000 197.200000 197.650000 197.540000
## [1159] 198.980000 200.740000 200.160000 207.100000 209.470000 218.900000
## [1165] 217.330000 211.990000 209.970000 212.480000 211.510000 210.150000
## [1171] 206.530000 181.900000 180.870000 175.360000 174.180000 177.180000
## [1177] 148.810000 131.140000 136.810000 126.420000 123.300000 113.130000
## [1183] 116.340000 107.910000 110.200000 122.720000 117.730000 113.400000
## [1189] 118.270000 116.380000 108.800000 110.340000 102.450000 91.650000
## [1195] 93.410000 92.040000 94.990000 91.580000 88.610000 90.660000
## [1201] 86.630000 84.280000 84.470000 85.380000 95.110000 101.680000
## [1207] 101.090000 115.840000 109.460000 117.270000 130.640000 141.000000
## [1213] 129.890000 131.920000 116.900000 138.470000 137.630000 140.030000
## [1219] 133.420000 141.520000 155.200000 148.910000 154.340000 155.800000
## [1225] 157.810000 151.970000 150.550000 150.840000 127.810000 127.530000
## [1231] 125.910000 116.980000 129.170000 121.810000 123.570000 123.650000
## [1237] 121.610000 124.630000 119.640000#6) Check the format of these variable by using str() command
str(date)## POSIXct[1:1235], format: "2015-09-01" "2015-09-02" "2015-09-03" "2015-09-04" "2015-09-05" ...str(BTCPrice)## num [1:1235] 230 228 229 227 230 ...str(LTCPrice)## num [1:1235] 2.85 2.82 2.8 2.64 2.7 2.92 3.04 3.05 3.05 2.92 ...str(ETHPrice)## num [1:1239] 1.35 1.35 1.3 1.26 1.28 1.34 1.3 1.25 1.24 1.21 ...#7) Use date variable to create attribute "time" for
# BTCPrice, LTCPrice, and ETHPrice by using attr() function
attr(BTCPrice,"time")<-date
attr(LTCPrice,"time")<-date
attr(ETHPrice,"time")<-date#8) Create three variables that represent daily returns on all three coins
# by using returnseries()(part of FRAPO package) function.
# Call these variables BTCRet, LTCRet, and ETHRet.
library(FRAPO)## Warning: package 'FRAPO' was built under R version 3.6.3## Loading required package: cccp## Warning: package 'cccp' was built under R version 3.6.3## Loading required package: Rglpk## Loading required package: slam## Using the GLPK callable library version 4.47## Loading required package: timeSeries## Warning: package 'timeSeries' was built under R version 3.6.3## Loading required package: timeDate## Financial Risk Modelling and Portfolio Optimisation with R (version 0.4-1)BTCRet<- returnseries(BTCPrice)
BTCRet## [1] NA -0.973190600 0.564120879 -0.924370808 1.307379632
## [6] 2.008367330 2.131504454 -0.033348618 1.473353640 -2.104903868
## [11] -0.004195775 0.635746003 -1.940745836 -1.987829756 -0.052049448
## [16] -0.104180241 -0.509438761 1.919643902 -0.283031194 -0.628959985
## [21] -0.077817651 -1.855178809 1.734008637 -0.251463389 1.721509204
## [26] 0.306748707 -0.400665469 -0.556770465 2.619570804 -1.000723148
## [31] -0.270819394 0.532478121 -0.025291911 0.559142146 -0.159436133
## [36] 0.923707222 2.388455471 -1.267288647 -0.234775732 0.510037302
## [41] 0.409433916 0.870596606 -0.682818455 1.734463017 1.044666598
## [46] 0.864917222 3.268833733 3.058365264 -3.397665260 0.650897755
## [51] 2.154414509 -1.048888883 2.647567398 1.036090337 1.774399095
## [56] 0.771575995 0.544998800 2.943827835 3.552094115 3.112210549
## [61] 4.536539401 -4.196289451 3.410893099 10.457171596 10.928790817
## [66] 1.089029414 -5.032903631 -3.615673521 2.639399146 -2.626040698
## [71] 1.500757320 -11.170255410 -7.876833513 7.487636182 -0.556939465
## [76] -1.066206884 -4.081573922 3.270607931 1.272293273 0.026894975
## [81] -2.502059155 -1.332325028 1.506799735 -0.807582729 -0.413989716
## [86] -0.920604891 2.545059092 6.930554470 1.489449256 0.092358076
## [91] 3.833590118 1.594478596 -4.210236836 -0.698857499 0.535673438
## [96] 0.678642015 6.860788592 0.110322898 1.468724300 4.614551262
## [101] 0.852929741 -0.650451727 8.545901042 -4.677376061 0.372284892
## [106] 2.419316538 4.693466091 -2.267513101 0.235002250 1.675044602
## [111] -0.285165135 -4.285407171 -1.226897746 -0.164729606 1.448065221
## [116] 2.621676961 0.197667588 -9.005588425 1.626516777 -0.293338590
## [121] 2.618807596 -1.727271230 1.130061057 0.901385908 -0.239576249
## [126] -0.815158976 0.697464392 -0.279791611 -0.429299742 6.205584836
## [131] -0.913368665 -1.140182268 0.102570972 -0.115957555 -3.060781493
## [136] -0.549046318 -0.470698220 -16.430056111 5.872309882 -1.409866241
## [141] 1.378865699 -1.901540139 9.988656261 -2.382615301 -6.900158764
## [146] 1.471740839 3.598475349 -2.598595207 0.112181950 0.688178036
## [151] -3.880475514 -0.329394082 -0.150564646 -2.391639327 0.961921545
## [156] 0.462833738 -1.202989723 4.935988158 -0.595754125 -2.642009260
## [161] 0.066377264 -0.890458842 0.728420847 1.572052526 -0.635339496
## [166] 1.295270160 2.132364705 3.658121811 -1.517952508 1.540032167
## [171] 2.162102106 1.467916266 -0.267668015 3.763666107 0.278297547
## [176] -0.166429221 -4.027452428 0.964546485 -0.096508064 1.914994320
## [181] -0.062398172 0.200921535 1.028286696 -0.639140828 -2.612366847
## [186] -0.489507333 -2.656830384 -2.529408854 1.791506319 1.629770208
## [191] -0.137623007 0.205157983 0.600977794 1.041912030 -2.390724237
## [196] 0.617547522 0.527337212 0.120007695 0.239584197 0.634513841
## [201] -2.718829347 0.275720892 0.733173151 -0.070171196 1.210182100
## [206] 0.062157835 -0.457524183 0.203868779 0.186714596 1.991328868
## [211] -0.528884115 -1.776228739 -0.377363473 0.360568646 0.397519621
## [216] 0.655083990 0.030861633 -0.066483049 0.771327615 -0.155678767
## [221] -0.167743651 -0.497796505 -0.290338138 0.541916569 0.229664720
## [226] 0.657656736 -0.400207700 0.117874501 1.206089490 0.246448708
## [231] -0.706090903 0.254580838 1.532401922 1.391541034 1.856165331
## [236] -0.855345509 1.048625213 1.882036027 0.549541442 0.993639023
## [241] -4.657925268 0.977144563 1.275733372 -1.482885770 0.766321317
## [246] -1.605994413 1.218014633 -0.773788829 0.274968038 2.578427952
## [251] -0.263596610 -0.048001397 0.502869149 -2.119941578 0.352038977
## [256] 0.529043447 0.213030048 -0.013163957 0.400723151 -0.785436245
## [261] -0.070507880 0.182777162 -3.750257370 1.176270431 0.056421311
## [266] -0.876989883 1.118114043 0.397596975 0.806050829 0.852538961
## [271] 4.211944141 10.895213851 0.187508933 1.076554165 -0.578242482
## [276] 1.013468394 0.215974763 5.786387177 0.629912321 0.224756391
## [281] 1.870663575 -1.424393180 0.867718081 -1.098418698 0.490252257
## [286] 5.220186245 9.680314215 4.775095983 -2.707728475 1.568546122
## [291] 9.833104272 -2.600904560 1.053515340 0.952250360 -3.740909997
## [296] -9.991253568 -10.850066592 4.602535906 6.152878526 0.097655524
## [301] -5.649701917 4.466935472 -2.147185131 -0.549541746 4.864222412
## [306] 0.624052424 4.088287367 -6.773525041 3.638228107 -1.889789771
## [311] 1.137564084 -5.673430190 3.931435780 -2.396506436 -0.326385116
## [316] -0.030846109 2.516354175 -1.803163326 0.952685757 0.696930142
## [321] -0.270031919 2.656289728 -1.045442223 0.010404667 -1.133012629
## [326] -0.046611285 -2.157192303 0.716618437 0.888611193 -1.068813434
## [331] -0.398205541 0.437939021 0.094685407 0.289607860 -0.291134333
## [336] -4.767645089 -2.957161052 -10.006089250 3.169800534 2.088123327
## [341] -0.563596709 2.191350157 0.842013937 -0.287215727 -0.575216443
## [346] 0.757778447 -0.562274963 -0.244864767 -0.301803375 -2.612424533
## [351] -0.571314607 1.837606294 -0.703451536 0.109751328 0.302498449
## [356] 1.012080969 -0.108317225 0.934874284 -0.574272203 -0.555179796
## [361] -0.419715107 0.293812863 -1.674130705 0.741326937 0.006967549
## [366] 0.604325882 -0.353816905 -0.547058753 0.547058753 3.925078427
## [371] 1.722495758 -0.408063092 0.667173080 0.664378347 1.887258973
## [376] -0.547516737 0.078629602 -2.667518356 0.167895747 0.133128456
## [381] 0.287019542 -0.548513495 -0.004940427 -0.154923805 0.590389414
## [386] -0.101712720 -0.933353301 -1.050914433 -0.180983392 1.127467829
## [391] -0.034834247 -0.322377228 1.192903138 -0.293182889 -0.201443193
## [396] 0.115631775 0.692636340 0.656929512 -0.486563348 0.176612039
## [401] -0.299443064 0.368041374 0.022855650 0.769140748 0.295994587
## [406] -0.380262434 0.391567253 3.433370857 -0.758089620 0.153962200
## [411] 0.516708005 -0.192279192 0.427824839 -0.376201438 -0.200385182
## [416] -1.177513428 0.026952255 0.365515411 3.793569018 -0.069973687
## [421] -0.482016858 0.561113939 3.073848365 1.433186344 0.332296122
## [426] 3.393921630 -1.620634584 -0.185187876 4.014762911 1.668041011
## [431] -7.440540876 2.069509826 0.039791380 0.979824742 -1.082177441
## [436] 0.954059837 1.816239278 -1.013641977 0.167562701 -1.624565424
## [441] -0.454804650 0.538433880 0.759375826 4.631163050 -0.561394591
## [446] 1.490104889 0.006650218 -2.779398815 1.138083274 1.622693815
## [451] -0.951649835 -0.562941705 0.144404357 -0.821968811 -0.403292279
## [456] 0.524235104 -0.006790664 1.318214092 1.528371918 2.697146805
## [461] -0.852968930 0.226532915 -1.915064629 0.720981763 0.505127388
## [466] 0.241869534 0.399233174 0.223547519 -0.609793512 1.368444444
## [471] -0.082016587 0.007691913 -0.142396258 0.794055818 0.741035507
## [476] -0.040462794 0.197101660 1.053440927 4.103779857 3.615312481
## [481] 6.413810105 -2.473463347 -0.305027622 1.267424431 2.873492769
## [486] 4.220610087 -0.266987210 -1.231160412 0.314921608 3.563579060
## [491] 2.275097881 2.207253211 10.215450099 -13.145749528 -11.562980063
## [496] 0.516654384 0.556712996 -1.189650971 0.626331064 -15.827025619
## [501] 3.618057334 2.627723511 -0.851959780 0.443924823 1.109690524
## [506] 9.018242749 -2.339749947 1.100480737 -0.292130529 2.933490868
## [511] 0.356116866 -1.614255881 -2.081513074 1.168143828 1.753158987
## [516] 0.157765637 0.245401561 -0.208444235 0.087990403 5.284807016
## [521] 1.944026871 2.144516747 1.945439980 1.175038220 -1.459541721
## [526] 1.135112307 2.109987622 0.223787364 -6.707264570 -0.678248835
## [531] 1.467588401 -0.462443581 -0.719376966 1.449518357 0.143008972
## [536] 1.816381184 2.225280106 0.527575286 -0.577148670 2.875238595
## [541] 3.238086448 0.221319314 4.842910001 -0.196319500 -2.258723568
## [546] 1.690644891 1.445109388 -0.057608568 3.713124917 2.103180468
## [551] 2.113885701 -1.828057163 1.045311212 0.451848306 -4.004636945
## [556] -6.142865727 3.334910343 -6.337778611 5.260836023 3.766289037
## [561] 0.845991500 0.647167674 0.896658212 -5.855696316 -7.062170060
## [566] -11.857334323 6.010836063 1.731860164 6.002693316 -6.507109202
## [571] -1.110856527 -10.329226259 3.923960411 -0.202459385 7.196292627
## [576] 0.143495380 -0.370638602 -1.505212458 4.296416971 0.827019284
## [581] 2.046271183 3.787027406 -0.998402791 -0.737187789 4.611295309
## [586] -0.534958475 0.333728100 0.907839576 0.013475046 1.450530601
## [591] -0.315068241 -2.588543543 -0.259237065 0.453864389 0.903285624
## [596] 0.885147679 1.526277602 -0.086661913 1.502998996 -0.547280670
## [601] 0.750422118 -1.825940022 3.318895881 1.235093827 1.247332558
## [606] 2.759039766 0.007588463 0.305336808 1.979713892 5.253742113
## [611] 2.278510014 2.509216380 3.308796725 1.029166389 1.445049187
## [616] 1.098742632 7.650659105 1.875121384 1.348662893 3.606990892
## [621] -6.875451571 4.412772749 0.420026661 -3.760294744 -0.863220129
## [626] 5.189251368 4.234675659 4.476725255 4.087682509 -1.160048238
## [631] 7.010130701 5.754390962 5.239462320 -5.260141903 -5.519026590
## [636] -6.693240777 5.001623884 4.346530746 -3.069199052 4.520467897
## [641] 4.932420191 3.662907571 2.145074522 -1.398784513 6.861494093
## [646] 6.424256603 -5.328396742 3.146102493 0.734621568 3.960972169
## [651] 0.366712705 -9.673981137 1.332787398 -8.336144535 -1.207867134
## [656] 1.783504147 5.469738486 -4.086357810 1.643134926 4.459403676
## [661] -0.681426071 0.604258309 1.145102544 -4.912160246 -0.641809730
## [666] -4.424456394 2.964752429 0.567514251 -1.109120792 -1.853848125
## [671] -2.280480243 2.519302594 2.468324129 1.621687517 0.200730450
## [676] 0.018785859 -3.444380683 2.055490913 -1.858088005 -5.676784738
## [681] -2.251581768 2.953670235 -1.768151722 -5.685619211 -11.292627673
## [686] -3.025252367 14.470222104 3.931507510 -2.316251925 22.351266407
## [691] -6.167880413 5.094286595 -2.721796663 0.903434071 -6.739978806
## [696] -1.526860609 5.405996518 4.640737922 -2.987887255 1.415935443
## [701] 3.836098461 -5.151511473 -0.646351408 3.530509933 3.180180208
## [706] 11.710063618 -1.385719172 4.784141818 1.477947917 -2.323594980
## [711] 0.952408006 7.885412188 6.094570742 4.683884624 6.218784107
## [716] -2.970667578 4.289643518 -1.380238199 -4.410736574 1.238388073
## [721] -2.387371999 -2.278054656 2.242111095 1.181302263 4.610269064
## [726] 0.901569368 -0.618552050 0.901541695 0.108506609 4.044271997
## [731] -0.323692611 3.158185639 4.158805235 -6.667596740 0.138608921
## [736] -8.243742485 3.447222635 4.742276033 0.348477126 -8.502033915
## [741] -0.011112228 -2.559345423 1.119491632 -0.889070363 -6.411556886
## [746] -20.207742836 13.880164490 -0.868858853 -0.422099254 12.611799250
## [751] -3.941111910 -0.380924579 -7.266636028 0.052356455 4.477678578
## [756] -3.064538738 6.489275600 -0.907010763 7.523630215 -0.609650880
## [761] -0.132170286 4.113350762 1.253556016 0.287360763 -2.041586383
## [766] -2.093593443 2.211365324 1.032697953 1.371083256 4.088276470
## [771] 3.443949109 0.272647799 0.838568440 12.345089705 3.229935183
## [776] 3.352902038 -2.575568473 0.945134188 -2.428592573 -0.358970527
## [781] 2.202916786 4.933635544 0.662655280 -0.509190930 -1.180432950
## [786] -7.174379347 3.963242291 2.606501264 -1.915257268 -0.578397871
## [791] 6.074850824 0.280398359 4.915492731 5.096898940 4.468876255
## [796] 1.079858178 3.295514092 -0.017558385 -5.271032470 1.670131898
## [801] 4.188240350 -3.736269599 -8.054036438 -5.005822787 -5.841267307
## [806] 9.980171009 1.110630805 9.873035768 6.991535249 -2.011027995
## [811] 0.890116876 3.455431056 2.052050453 -1.569578191 1.893703132
## [816] -1.942365927 2.055634715 6.429764405 6.216171937 4.910313846
## [821] 2.552494432 -1.707491223 2.903007534 7.367014117 0.946473681
## [826] 2.077929582 3.220124229 2.013698381 17.938323764 22.147527187
## [831] -7.458985936 -8.555718954 1.693083279 9.233938452 3.371634715
## [836] -6.585901165 1.313913627 6.748462376 9.220703991 -1.914931176
## [841] 0.062263408 -7.368036222 -6.501197355 -4.576034061 -13.080700119
## [846] 4.619670093 -4.281858531 0.290377445 14.108740977 -1.869691902
## [851] -7.649695610 -0.094629607 -12.956644171 8.999067060 -3.513333095
## [856] 9.468947011 1.934014904 1.343201355 12.066484484 0.372684730
## [861] -6.184275002 -8.565386556 -3.602950270 2.569440362 -10.665892388
## [866] 3.638250964 2.954683360 -4.290215500 0.498490349 -19.094340742
## [871] -2.053108144 2.041735014 1.961424745 10.055152412 -10.253526838
## [876] -6.101743606 -0.376237977 4.644038759 -1.461373498 -0.723112790
## [881] 2.652670748 2.412431678 -3.891690154 -11.205733900 1.269093733
## [886] -11.312810566 -3.225282896 3.590170695 -10.385888215 -15.942399018
## [891] 9.512516670 -1.528352044 7.973951599 5.277143697 -1.199238424
## [896] -5.667018769 9.208318592 -3.729612529 9.830866761 6.600227661
## [901] 0.705889911 8.592825327 -5.267872243 6.237676580 1.242273983
## [906] -6.463583920 -7.026373288 3.467679828 -4.893199407 -1.304765028
## [911] 7.224973307 2.782766809 -2.868430637 5.547615654 1.127765097
## [916] 3.500465801 0.303954241 -0.280473428 -6.244855093 -8.218991574
## [921] -5.544602893 -0.683179247 -5.470790893 8.133672625 -4.579951310
## [926] 0.452586171 -10.565296718 0.387031163 -0.012015750 -5.322975690
## [931] 5.589506029 3.248970169 3.620686938 0.021927715 -2.299191159
## [936] 1.878931805 -3.301972398 -1.336448259 -3.575199302 -4.529973841
## [941] 1.798744746 -10.671399763 -3.967690348 1.591623419 -2.284919075
## [946] 3.691503761 4.866102189 -8.502251258 -0.478463159 -2.758519665
## [951] 4.273115514 1.780873888 -3.596981933 0.704311394 1.622054790
## [956] 12.748526380 -0.334944557 1.570650910 4.141401884 -3.241264576
## [961] -1.588810707 2.668365001 1.551883706 6.560718526 0.858232382
## [966] -1.474903214 1.578826087 8.232978637 -8.985945682 4.663375677
## [971] -3.855243501 4.453838198 0.849118593 -1.870104047 -1.600267751
## [976] 1.410929491 4.877278512 0.049289073 1.484044859 -2.048608967
## [981] -2.783660074 -1.689299818 1.102239822 -2.971013323 -6.993886589
## [986] 0.873394780 2.294078232 -0.090824077 -2.333454704 -1.592499428
## [991] -3.380494752 2.005259403 -0.105921943 3.284149234 -1.209538893
## [996] -4.652855556 -6.104650578 0.411524844 -1.403584869 -1.675622561
## [1001] 0.125293652 -3.335994280 4.662335868 -0.854811778 1.268561339
## [1006] 0.479072459 1.257465242 1.178030403 -2.911901721 1.653651417
## [1011] 0.325330412 0.447576249 -0.687052813 -1.757504725 -9.802482378
## [1016] 1.554633937 -4.576772435 -3.928438164 5.091893872 -3.330663180
## [1021] 1.385763866 -0.543216508 3.506425262 0.419887912 0.137703561
## [1026] -0.624504081 -10.108083344 1.210683953 0.124673235 1.313122867
## [1031] -2.742118404 1.123765254 -4.233041948 5.220486275 3.128111281
## [1036] -0.489367036 3.333580362 -0.696559508 0.742784342 0.588894619
## [1041] 0.451178306 2.796025267 -1.213551578 -0.530846744 -6.252083564
## [1046] 1.037286703 -2.561134809 0.199799306 0.402550024 1.335125706
## [1051] 5.844985377 8.196278445 0.855892718 1.201717323 -1.547656686
## [1056] 0.881220447 -0.041665235 3.989632437 8.244515160 -2.450035000
## [1061] -2.808474901 2.713160531 0.448981144 0.191874610 -0.492356559
## [1066] -5.169223450 -1.750976195 -0.948262375 -1.646214949 -5.635174809
## [1071] 0.452107408 -1.492332952 -3.086233660 -6.764394542 4.129815921
## [1076] -6.047521702 1.569629577 0.914223465 -0.850427407 -1.059080590
## [1081] 1.163516420 0.738895056 3.753359484 -2.473753699 1.206228624
## [1086] -3.116117512 2.896509145 -1.787474317 2.788727527 2.538363024
## [1091] 0.514896210 -0.651150722 2.650965274 2.869867458 -0.678437773
## [1096] -0.995747195 1.010652895 2.034158006 1.236485601 -0.220464495
## [1101] 1.346531601 -8.595458605 -3.406215748 -1.058590587 -3.734246572
## [1106] 1.248564118 0.479838178 -0.235119554 0.587631167 2.504783368
## [1111] -0.092285422 0.418210524 -0.346647357 -3.644804330 1.437497684
## [1116] 0.422843544 1.781546292 3.339148410 -0.293375040 -0.157226996
## [1121] -1.519820123 -2.310841673 0.656470344 2.785354543 -0.535212228
## [1126] -0.579569113 0.228968020 -0.402782937 -0.599069267 -0.857360231
## [1131] 1.166470540 0.732009998 -0.480886228 0.144190666 0.798146884
## [1136] -0.192426810 -0.809710004 -5.419855434 0.620421840 0.165677705
## [1141] 0.065971819 4.790256609 -0.165100974 -0.733888170 -0.987074464
## [1146] -0.265090398 0.450467559 -0.062268134 -0.211291433 0.100839696
## [1151] 0.088864622 -0.250287900 0.191516498 0.028078837 0.149364075
## [1156] -2.421277825 -0.000789015 -0.297903126 0.957394299 0.130344617
## [1161] -0.341417960 -0.029067278 1.090266328 0.544418127 0.827823248
## [1166] -1.229028951 -0.880373423 0.429696218 -0.029160907 -0.603367507
## [1171] -0.345005973 -10.186181585 -1.596137025 -1.189261961 -0.338291914
## [1176] 1.091909973 -14.462369120 -8.545660545 3.217821536 -5.593576809
## [1181] -0.298792536 -11.360850521 3.401861751 -6.405462841 1.489665706
## [1186] 11.048279725 0.469498145 -6.368384885 4.286757933 -1.279597721
## [1191] -6.500736747 1.850870791 -5.312309818 -6.648692766 -2.615478239
## [1196] 1.488612202 3.919048147 -3.221275482 -2.199536282 1.922674122
## [1201] -5.181735120 -2.066961433 -0.238570420 0.519310378 8.585592087
## [1206] 4.470390950 0.949930757 9.949921591 -5.868876547 3.104401675
## [1211] -0.515128325 1.997254982 -6.618537608 0.912655728 -5.370625437
## [1216] 7.368847867 -2.839954777 1.156437076 -3.155951446 2.699240880
## [1221] 2.103603540 -2.550926730 0.518740728 -0.401900004 6.118563474
## [1226] -1.236468918 0.076426613 0.070915306 -9.357364002 0.351855209
## [1231] -0.765062595 -2.814971531 4.046806901 -1.982417053 0.559082542LTCRet<- returnseries(LTCPrice)
LTCRet## [1] NA -1.05821093 -0.71174678 -5.88405000 2.24728559
## [6] 7.83318433 4.02738991 0.32840752 0.00000000 -4.35579743
## [11] 1.02215541 0.33840980 -4.84523834 -0.35524016 1.06195688
## [16] -0.35273405 -0.70922283 3.49685978 1.36520892 -2.40148762
## [21] -1.04712999 -1.76995771 2.12022077 0.34904049 2.06903933
## [26] -1.37459209 0.00000000 -0.34662080 7.36118173 -4.28401587
## [31] 1.33781259 -0.33277901 0.00000000 0.99503309 -0.33057881
## [36] 0.00000000 4.21456215 -2.89875369 0.32626456 1.29451646
## [41] 0.00000000 1.27797266 -0.31796529 1.26583969 -0.94787440
## [46] -1.27797266 0.00000000 -1.29451646 -1.31149421 0.65789711
## [51] 1.30295003 -0.32414939 1.29034048 -0.32102756 0.00000000
## [56] -1.29451646 1.29451646 -0.32206147 0.00000000 19.56728900
## [61] 7.90219870 -6.58465658 4.10313967 4.66342165 9.37829623
## [66] -8.66144728 -6.13689464 -10.67679754 1.95264224 -5.39137647
## [71] -0.87848296 -8.59424298 -4.92710490 9.62280321 -1.54086254
## [76] -0.62305498 -4.14732482 3.83433552 0.31298930 -0.31298930
## [81] -1.57981169 -0.63897981 1.27390258 -0.63492277 -0.31897954
## [86] -0.64102784 7.43376196 7.19734996 -0.55710450 -1.40649295
## [91] 3.61652765 -0.82304991 -5.66723871 -2.35999153 0.89153637
## [96] -0.29629651 4.63851266 -2.29236399 5.63529366 0.81855846
## [101] -0.27210901 0.00000000 4.52807045 -6.45385211 1.10498362
## [106] -0.55096558 5.89983408 -3.71395469 1.34230203 0.53191615
## [111] -0.79893900 -5.21380079 -2.56790144 -0.87083279 4.55919413
## [116] 1.65749651 -0.27434859 -6.23431306 1.73917427 -0.28776998
## [121] 1.14614435 -1.43474484 0.57637047 1.14286958 -0.56980211
## [126] -0.57306747 0.28694424 -0.57471423 -0.57803629 4.25596144
## [131] -0.83682497 -0.28050509 -0.84626739 0.56497325 -1.70458673
## [136] -0.57471423 -0.28860049 -15.27066363 3.96091381 -2.29142595
## [141] 0.98847592 -1.32015119 11.59356307 -4.53935723 -4.75525402
## [146] 0.96931292 2.53981906 -1.89879122 0.95390230 4.03155372
## [151] -4.66647649 -0.63897981 -0.64308903 -0.97245499 0.64935293
## [156] 0.00000000 -0.97561749 3.53166719 -0.63291351 -1.27797266
## [161] -0.64516353 -0.32414939 0.32414939 0.64516353 -0.64516353
## [166] 0.96619109 0.95694510 2.50796844 -0.93313274 0.93313274
## [171] 0.61728591 0.30721990 0.30627895 5.64786042 0.28860049
## [176] 0.57471423 -2.61263046 -0.29455102 -0.59171770 1.76475168
## [181] -0.58479699 0.87591801 0.29027597 -0.58139699 -2.06192872
## [186] -1.19761910 -2.13097866 -1.86340795 0.93604428 1.54086254
## [191] -0.61349886 0.91884261 0.30441424 2.99423566 -2.99423566
## [196] 0.60606246 -0.30257209 0.30257209 0.00000000 0.00000000
## [201] -4.32166015 0.31496089 0.93897403 -0.31201273 0.93313274
## [206] 0.61728591 -0.61728591 0.00000000 0.00000000 2.14403312
## [211] -1.21952731 -0.92450581 0.00000000 0.61728591 0.00000000
## [216] 0.30721990 0.00000000 -0.30721990 0.30721990 0.00000000
## [221] -0.61538656 -0.61919702 0.00000000 0.31007777 0.30911926
## [226] 0.61538656 -0.30721990 -0.30816665 1.22700926 0.00000000
## [231] -0.61162270 -0.30721990 1.22325684 -0.30441424 2.11169234
## [236] -0.89955629 0.89955629 7.75136800 4.85270409 6.37158144
## [241] -4.28817275 -2.34691345 0.52631700 -4.01660417 1.35687292
## [246] -0.81191244 1.61728592 0.00000000 -0.53619431 2.65267543
## [251] 3.09303007 0.00000000 3.00022503 -6.09325510 1.55847310
## [256] -0.51679702 1.79722424 2.01518154 1.23917323 -1.48886125
## [261] -0.50125418 0.50125418 -4.60439385 1.55847310 2.04088716
## [266] -1.01523715 1.01523715 -0.25284464 2.50013022 0.98280889
## [271] 9.77521835 3.91354289 -1.28757144 1.28757144 -0.85653629
## [276] 1.91699161 -0.42283361 2.92296383 -1.24225200 0.20811662
## [281] 2.86904925 -3.70412717 0.20942416 -0.62959285 2.70006018
## [286] 3.81955977 6.49082753 -1.86572576 -1.70944334 0.57306747
## [291] 7.69610411 -1.24225200 -0.71684895 1.25113339 -6.60790796
## [296] -8.71838949 -20.87548139 -1.80185055 10.35406789 -0.70505580
## [301] -4.58463881 2.19789067 -0.97088141 -0.48899853 2.66037455
## [306] 2.12522757 8.50624385 -8.74016209 6.57087963 -2.21738575
## [311] 0.89286307 -8.82242334 2.87101059 -2.87101059 0.00000000
## [316] -0.73081933 1.69701042 -0.48192864 0.24125464 0.00000000
## [321] -0.24125464 1.43887375 -1.19761910 0.00000000 -0.48309273
## [326] 0.00000000 -2.20327150 0.49382816 0.24600258 -0.73983075
## [331] -2.00006667 0.25220694 0.00000000 2.73308937 0.00000000
## [336] -0.49140148 -4.79284666 -6.12708254 1.90481950 0.80537348
## [341] -0.53619431 1.06952891 0.26560441 0.26490082 -0.53050522
## [346] -1.06952891 0.53619431 -0.80537348 0.26917917 -1.89965007
## [351] -1.65749651 1.65749651 -1.37933221 0.27739269 0.00000000
## [356] 0.27662535 0.00000000 1.09891216 7.11762785 -1.79722424
## [361] -1.56661167 0.52493559 -2.11648112 0.00000000 0.79893900
## [366] 1.05541877 -0.26281224 1.04712999 -0.26075634 1.55443544
## [371] 3.28727450 -1.00000833 0.25094116 -0.50251362 0.25157246
## [376] -0.25157246 0.00000000 -2.55115877 -1.03897038 -0.26143806
## [381] 0.26143806 -0.26143806 -0.52493559 0.26281224 5.86155028
## [386] -5.33798888 1.03897038 -0.25873236 -2.35921820 1.05541877
## [391] -0.26281224 0.00000000 1.56661167 -0.25940352 -0.26007817
## [396] 0.00000000 0.26007817 0.00000000 0.00000000 -0.26007817
## [401] -0.26075634 0.52083451 -0.26007817 0.51948169 -0.51948169
## [406] -0.52219440 -0.52493559 0.52493559 -1.84945826 4.17815340
## [411] -0.25608209 -0.51413995 0.25740040 1.53064213 -2.56424306
## [416] -1.04439592 -0.52631700 0.52631700 2.07799685 0.76824962
## [421] -1.28371468 1.02828670 1.27066513 2.00006667 -1.49628727
## [426] 2.97051544 -1.47422817 -0.99503309 2.22506089 0.48780585
## [431] -6.27558450 0.51679702 -0.51679702 0.77419742 -1.29367910
## [436] 0.26007817 0.25940352 -0.51948169 -0.78431775 -1.05541877
## [441] 2.87601522 0.25740040 0.25673955 4.02064205 -2.49389483
## [446] 0.50377940 -0.25157246 -1.01266688 0.50761530 0.50505158
## [451] -1.01266688 -0.51020519 0.25542798 -0.25542798 -0.25608209
## [456] -0.25673955 0.00000000 0.51282164 0.25542798 0.76239251
## [461] -0.50761530 -1.28042722 -10.59334174 1.42249909 1.68071183
## [466] 2.46926126 0.00000000 0.00000000 -1.36427764 0.82079804
## [471] -0.27285147 -1.37553751 0.55248759 0.00000000 1.91001714
## [476] -0.54200675 -0.54496048 0.00000000 0.27285147 1.35320062
## [481] 22.31435513 -1.95445961 -4.71467784 0.45871640 2.70896926
## [486] 1.98462964 -0.43763746 -3.79933964 -1.37616851 4.29444518
## [491] 3.05034543 -0.64585800 5.87170737 -13.26589191 -10.79478392
## [496] 2.55768418 1.00503359 7.23206616 6.74412808 -18.05839369
## [501] 2.82432123 -1.53064213 0.00000000 0.76824962 -0.25542798
## [506] 0.76433493 -2.57083567 0.51948169 0.77419742 0.25673955
## [511] -1.03093697 -0.51948169 -1.31063475 -2.13341425 3.44404900
## [516] 0.26007817 0.00000000 0.25940352 4.06147192 1.48150858
## [521] 0.00000000 0.00000000 0.00000000 -0.24539890 -0.24600258
## [526] -0.24660925 0.00000000 -0.49505052 -5.87653092 -0.52770571
## [531] 0.52770571 -0.79260653 -1.33513332 1.33513332 0.79260653
## [536] -0.52770571 1.31407936 -1.04987841 -0.52910176 -0.26560441
## [541] 0.79470617 0.26350476 0.78637365 0.52083451 -0.78227257
## [546] -0.26212335 -0.26281224 -0.79260653 0.79260653 3.10905871
## [551] -0.25542798 -1.28701905 0.25873236 0.51546506 -2.07799685
## [556] -1.05541877 1.57898017 -1.84458458 0.79470617 1.57071292
## [561] 7.98428875 -2.91991547 2.43914531 1.90936588 -4.59573011
## [566] -2.00006667 -0.25284464 2.25291131 -1.24534611 -1.51518050
## [571] 1.01266688 2.48769048 0.00000000 0.00000000 0.00000000
## [576] 1.70527884 0.96154587 51.84519715 -5.41463634 3.10905871
## [581] 12.06942459 4.79284666 1.58830462 29.85320885 -8.43987040
## [586] -9.00403325 5.72178934 -12.59049077 2.15550036 -0.90192269
## [591] 19.76805401 -6.03342365 2.05185508 3.88858855 -1.40517535
## [596] -1.71269648 -1.06127383 -6.82310722 6.62893240 8.29539179
## [601] 15.61930599 6.58765697 7.05198808 1.52371282 -2.46268685
## [606] -1.69898752 -1.31081560 8.64325058 0.06367399 1.32787281
## [611] -0.25157246 28.13649321 10.92976220 12.02890064 6.33099617
## [616] 7.41333011 -4.75397115 13.96418295 -1.94063094 -5.44245008
## [621] -12.77745895 6.64424753 -0.68989580 -13.11113396 -8.65092429
## [626] 7.97778772 11.68555762 -2.17982546 -0.72516634 -4.99917592
## [631] -3.26623125 23.86744933 7.06104915 -12.79520588 -25.94012993
## [636] 2.57343879 1.28286469 4.02955402 -4.15298543 4.23194319
## [641] 13.14574202 0.48325948 -4.90484620 1.57879131 9.33989076
## [646] -0.87934128 -7.43344642 6.18260720 -1.70373254 2.72532653
## [651] 8.57263988 -11.94018595 4.15135153 -1.70607813 0.19834717
## [656] 17.80190514 27.09592747 -2.73521325 8.80759459 -6.36792726
## [661] 0.88403017 0.06284697 -1.05264130 -6.01882091 -1.01661330
## [666] -6.83605296 -0.75656249 4.80666342 -4.26915908 -1.57174159
## [671] -3.65510127 6.29326110 11.55304201 17.14884624 -3.81718695
## [676] -4.02738991 -9.13259552 11.56843990 -4.79215576 -7.57275806
## [681] -2.20701627 7.36659832 -4.96526049 -7.96652983 -9.52634628
## [686] 5.66872511 3.41281182 3.97890821 -7.95167280 9.56208560
## [691] 1.54120180 1.86152562 -5.44247089 0.72202480 -5.04889985
## [696] 0.14177696 -0.30743787 -4.01116831 1.51703423 -2.06091691
## [701] 6.43215913 0.11615752 -2.06434729 1.64554724 1.38923281
## [706] 7.44199821 -3.65178590 1.60319674 5.69526314 -1.11756130
## [711] -3.49426762 1.39114068 -1.02543090 -1.60176585 -0.04364906
## [716] -5.47344501 1.85042401 -0.63578779 6.92965460 -3.61393867
## [721] 1.76918451 3.63521800 -2.51572299 12.29316324 -5.14726684
## [726] 1.97361843 1.22367264 16.93680078 1.66468491 1.22661833
## [731] 1.57087742 9.93261359 19.16624963 -8.31739399 -2.89018897
## [736] -16.20667200 9.53798395 10.69196228 -1.80640294 -15.46394332
## [741] -2.12022077 -6.51466087 7.18112805 -2.94138852 -4.25596144
## [746] -39.10497186 14.36443914 0.20755508 0.62009293 13.74388526
## [751] -5.42468351 -2.06903933 -10.20108604 3.18558737 2.23805666
## [756] -3.36565266 8.20114981 -0.21303388 8.59606766 -3.80756654
## [761] -2.77327123 4.65891062 -1.07576933 -2.14942498 -2.10095738
## [766] -1.69757163 0.46583935 0.96358425 0.66902668 1.11775342
## [771] -5.67816951 1.18931035 0.27548227 17.38030294 -1.90069076
## [776] 7.64497108 2.44910200 -1.61058777 -8.18096407 2.04309075
## [781] -1.67458112 0.81592327 -3.42447226 -2.60793640 -3.24023693
## [786] 1.78527868 0.92510889 -1.42681215 -0.52228845 -1.29034048
## [791] 3.89251903 -0.83032011 -1.12390800 -3.98955012 1.88649945
## [796] 2.96050502 -2.13940744 -0.49184907 0.41913501 10.55241684
## [801] 2.23310250 3.07280144 -8.22824373 4.86698055 -5.15382796
## [806] 4.07273635 1.83255410 1.62733665 9.89933205 -4.41098635
## [811] 3.06772522 2.69672884 1.10021303 -2.83766757 2.53249325
## [816] 1.59871101 6.31789016 13.24076707 -3.48945773 6.56730502
## [821] 4.57118947 -10.72022968 2.00867586 11.71767913 1.25547775
## [826] 1.20047079 2.80064979 -1.74119315 -2.46974916 -1.66409972
## [831] 25.96303208 19.95219057 -4.85139060 35.97862461 39.49611081
## [836] -4.59403475 -6.95265939 6.33321490 0.81182240 5.53360756
## [841] 11.86500892 -2.68947962 -10.52969530 1.45131270 -17.02912241
## [846] 7.76430372 -4.75727343 -1.59102521 4.81779785 -5.17727297
## [851] -8.34199545 -2.12344487 -12.18203066 6.55087619 -1.16356108
## [856] 11.03265478 -4.07894048 -1.82940704 3.56190873 16.99878646
## [861] -2.85058186 -12.22895778 -2.60219982 1.38115448 -9.03566609
## [866] 3.03878354 9.53562320 -9.36268940 -1.90173990 -20.24523884
## [871] -1.69720330 2.24264966 1.65473081 8.31799218 -9.65939044
## [876] -6.18898256 -1.03148304 1.73898101 -0.96298270 -1.77293692
## [881] 2.65878039 6.57538830 -6.55885346 -9.32181288 -0.98487026
## [886] -13.81503385 -8.15168577 19.92998933 -7.54134178 -15.38593666
## [891] 11.09284239 -2.94872158 7.91192490 8.79181542 -5.08137406
## [896] -3.46363472 7.48738347 -1.36302095 28.56904929 6.00843022
## [901] 1.75828706 0.43912159 -6.77510565 3.50320886 3.46259594
## [906] -8.16605271 -9.17036485 8.13134540 -1.19876307 6.51449293
## [911] -0.19375921 -2.01833772 -6.73899070 3.11654370 2.02656975
## [916] -1.69783365 1.65105878 -1.52271652 -6.71927459 -5.82079437
## [921] -5.09249129 6.38193426 -5.79999527 6.28258842 -6.23189990
## [926] -0.93908027 -8.74971978 2.22081393 0.22423572 -7.96694698
## [931] 1.90902492 3.81118680 4.85778725 -0.49663103 -3.09383689
## [936] 2.98116082 -5.90904643 0.81500044 -7.24955020 -9.47799767
## [941] -2.66263580 -13.90799950 3.29022139 -1.47748294 -1.43019583
## [946] 3.63831397 11.37678826 -12.47052287 0.51470392 -4.89837530
## [951] 2.74610814 1.27314062 -2.20619275 -0.80174721 3.44001586
## [956] 8.87640037 -3.18310500 1.15130892 4.09893445 -2.50128124
## [961] 2.81147630 5.62515214 4.50973324 6.07771900 -4.64771937
## [966] -1.31402595 3.94383419 7.88672726 -13.18281461 5.86469775
## [971] -5.14853989 4.31083866 0.97446898 -3.51703523 0.07412649
## [976] 2.27108426 5.51479654 4.79381364 5.58507579 -3.57977500
## [981] -4.11835138 -3.21186493 -1.55952272 -5.02388745 -8.50849512
## [986] 3.25406766 1.96919986 1.96507641 -5.46210845 -0.06446761
## [991] -5.04036750 2.42697835 -0.50879437 3.17949011 -3.92894637
## [996] -4.14397681 -7.76195919 2.78818475 -2.65403532 -0.71473922
## [1001] -0.48217325 -5.30219496 6.65817649 -1.87457993 0.60335853
## [1006] 1.51352423 2.84652322 1.54530238 -4.33342656 1.64609366
## [1011] -0.45224762 0.14823358 -1.16708687 -2.14591480 -9.84283401
## [1016] 0.83189712 -6.37011170 -6.99499620 7.30206395 -4.58373527
## [1021] 1.17345659 -2.01567629 3.04393681 0.23268765 -1.09734895
## [1026] -0.96500082 -13.03827106 -2.80063588 -2.90621888 1.78807403
## [1031] -6.16257950 4.69748712 -7.49192228 5.38631748 3.17882795
## [1036] -1.52070681 6.18330458 -0.25797388 0.56199656 -2.13590042
## [1041] -0.52619112 3.37176819 -4.40829669 -2.15536142 -5.92870048
## [1046] 3.18020596 -1.66798838 -0.41488456 -0.35140272 2.90396868
## [1051] 6.54404699 6.34258027 -3.30496354 -0.25348556 -4.74873676
## [1056] 1.91714475 -1.22993968 -0.66301249 6.98310945 -2.72110078
## [1061] -3.00004853 0.96274589 -0.58129353 0.11890608 -1.75022449
## [1066] -2.82088854 -3.39058411 -1.83110109 1.45722069 -5.35937262
## [1071] 2.26363748 -1.42227005 -8.22072107 -8.71714410 2.38840930
## [1076] -7.27623033 -2.15792929 2.14111833 -4.25888538 -4.15532560
## [1081] -0.25636344 1.43808795 10.66970521 -7.31088213 1.19865936
## [1086] -7.41743904 5.23528036 -2.62867170 4.27407903 0.55401804
## [1091] 0.22419601 -1.37024085 5.05682674 4.54402365 -2.01929938
## [1096] -2.20976337 2.16118431 6.64196467 -0.24279223 -0.76254754
## [1101] 3.53446821 -14.86978625 -1.69466272 -2.13280315 -5.22971080
## [1106] 3.17780296 -0.69343344 -4.15012827 -0.97823740 5.20158552
## [1111] 3.04555478 0.42508034 0.77465176 -8.65969353 3.25492002
## [1116] 0.64581828 4.33716199 6.85700981 -0.42847791 1.29626887
## [1121] -5.56443800 -0.98727744 0.00000000 9.49145006 -2.45184945
## [1126] -0.01622455 -0.86368988 -1.31797624 -1.20121564 -3.51872339
## [1131] 1.39838274 0.93849337 -1.62660893 0.51653007 2.07349373
## [1136] -1.33775596 -1.16599401 -13.08247647 4.96603519 0.09348416
## [1141] -2.53609353 5.22799648 -1.30002746 -1.00019356 -2.20202743
## [1146] 0.98466995 0.67605891 -1.22400549 -1.02838461 0.42024895
## [1151] 0.05717008 -0.51571120 -0.17249645 -0.15358037 -0.42356629
## [1156] -5.61488341 0.69148130 0.44489457 1.56159329 1.88907625
## [1161] -0.60612171 4.97329484 0.20505180 4.26527200 -3.35693319
## [1166] -3.43534485 -0.82462832 0.74820493 -1.61853244 -1.66490967
## [1171] -2.09567594 -12.55531612 0.52457641 -3.40113754 -0.94585713
## [1176] 0.59220829 -14.65040335 -10.06017052 4.78249340 -8.00907534
## [1181] 0.74673651 -9.86324936 5.45892594 -4.84500859 5.65159467
## [1186] 10.94651905 -2.68550873 -5.06706294 6.41883198 -1.32218762
## [1191] -8.64468836 0.67491820 -6.51793414 -8.33816089 -6.84356132
## [1196] -1.32186984 4.37853414 -5.18825516 -3.30608623 3.02112776
## [1201] -3.65337433 -0.80662717 1.39684811 7.64471545 13.08506219
## [1206] 3.55742210 -2.43629604 10.05177272 -5.98038466 3.69351121
## [1211] 4.52261613 -0.20936152 -7.16696759 -0.41901753 -8.98342441
## [1216] 14.02227365 -3.56399083 1.76660746 -4.86963599 4.99463601
## [1221] 4.06970648 -4.06970648 1.02533134 7.44391163 11.96623463
## [1226] -3.52368061 3.95553699 -1.17288443 -14.64010136 -3.68956273
## [1231] -0.18501393 -6.43739256 6.37564511 -2.94599807 1.29564145ETHRet<- returnseries(ETHPrice)
ETHRet## [1] NA 0.000000000 -3.774032798 -3.125254350 1.574835697
## [6] 4.580953603 -3.030534950 -3.922071315 -0.803217170 -2.449102001
## [11] -4.220035449 -16.127426830 5.207497634 -10.049417042 -7.204195868
## [16] 7.354099511 -3.798726144 -3.625668604 -2.896772911 3.650521998
## [21] 6.619569802 -2.381734147 -1.731024184 -0.751410479 -8.948626702
## [26] -10.589980056 7.020575223 -8.925042762 -22.238042051 13.202701869
## [31] 10.488293064 -7.136116932 -0.726453913 1.107601392 -2.891134738
## [36] -6.917564174 4.447384322 -6.512376726 7.212288208 -2.144232564
## [41] -2.163962836 1.117940986 -1.041152952 -2.532503552 -15.701149090
## [46] 7.244358215 -5.194153766 2.550159914 -5.687320099 -5.559535276
## [51] -12.617421497 3.057356901 24.120025936 -4.826935061 4.266900948
## [56] 9.565764223 13.439549042 20.587042537 14.813481807 18.067002876
## [61] -14.183019544 -13.125154447 14.073028843 -6.371571508 1.539713781
## [66] -11.453448129 0.451184972 2.073900802 -0.877577744 11.766787239
## [71] -2.955880224 -6.049762988 -16.708701852 13.076753374 -0.248512281
## [76] -1.586509711 1.663456782 2.051500750 7.120862967 -0.454205199
## [81] -3.392341942 -2.863246825 5.346453727 -1.260455725 -2.199849936
## [86] -5.719744623 -3.478126473 2.157444885 -1.599620899 5.167888900
## [91] -3.812188417 -0.185978634 -0.587502482 -6.460181735 -0.792827531
## [96] 3.522217964 2.954281700 -3.535261053 -3.690018765 2.260783032
## [101] -3.563737128 5.431196167 10.307384200 4.241060139 -1.547414442
## [106] 3.489347730 2.925819057 -2.678394005 -5.667546390 -1.806968106
## [111] -1.452016041 -0.239761346 -1.231749718 -3.779121178 -0.272946896
## [116] 0.297428049 1.012613406 -2.041914821 0.373204171 -1.472919968
## [121] 3.541854875 4.237191384 2.342059906 1.455440651 -0.951417987
## [126] 3.519383355 -1.963295819 -0.327768365 0.605827454 -1.374647480
## [131] 4.434688372 0.005682228 1.376400791 6.844295596 6.336961393
## [136] -1.769957710 5.218575317 3.333642027 0.000000000 8.632808349
## [141] 6.547792938 -4.317217187 11.778303566 1.298719553 -3.278982282
## [146] 23.638877806 12.361395597 16.275146060 -11.728908652 6.869653129
## [151] 5.253733353 -1.188132789 -2.828471384 -5.043085363 -4.405998979
## [156] 9.038406147 4.032804539 1.568659617 -1.568659617 0.394477829
## [161] 15.639787178 6.516963507 23.256277323 11.778303566 27.931382278
## [166] -4.468097142 -5.231129457 -1.304771539 0.000000000 -21.706450524
## [171] -12.921173148 14.997372293 6.624938554 -7.082605257 6.654339078
## [176] 19.793578460 -1.418463499 10.016848896 -2.453107475 -1.333353087
## [181] 7.278878986 0.777004686 -2.191010964 18.836863714 10.089446331
## [186] 9.055957705 11.537513659 7.699675606 2.032769951 -17.656388582
## [191] 2.168386456 19.349485739 -5.715841384 -0.805373481 19.378598668
## [196] 7.140791492 -10.988870943 0.153727932 -3.596947574 -12.267155739
## [201] 0.806817465 -6.263557099 -2.113431207 14.271241870 -4.740223889
## [206] 9.346301227 -9.966046460 -4.449213154 2.022127725 -5.229949940
## [211] 11.916697158 -1.198644488 2.635086593 -4.460430624 1.997461113
## [216] 0.000000000 -0.086021511 -3.592151434 -7.020425867 2.364176306
## [221] -5.969047882 -3.945883674 -5.734054662 -2.321829010 -3.413300637
## [226] -14.953173397 8.252102369 3.764864795 -1.804017656 4.508474075
## [231] 7.914993018 -2.716082225 -4.390125334 -2.800649791 -3.614851412
## [236] -4.517706737 6.220910926 -3.435920807 -6.179571927 -1.876730685
## [241] 4.627395264 -7.093273630 3.274508109 16.426237526 1.245064188
## [246] 13.451516053 -8.086244704 0.212992626 4.269258430 -5.123964488
## [251] 0.535046755 1.272551637 -2.237706582 1.603454985 5.868899635
## [256] 0.598207168 4.376002022 -2.602556528 -2.672103564 11.543993835
## [261] 8.477473996 10.585300520 9.235159776 -8.133422595 2.524475930
## [266] 1.694955831 -7.034432450 -3.985201682 -2.133624992 -1.043767003
## [271] -8.943562060 6.657748253 1.800375961 3.271133297 10.213711572
## [276] -0.854097719 -1.803150188 0.869570697 -0.724116126 1.729149711
## [281] -0.357782135 3.935855863 -0.552869411 -0.347102049 -3.323034636
## [286] 1.992948524 10.557190980 11.035752153 7.122396016 -2.951649748
## [291] 11.754093421 -29.464735533 -31.983635100 9.147766400 -3.491626511
## [296] 11.042381761 0.151400483 3.420407777 4.432462507 -0.280112228
## [301] -3.206544756 0.865182037 -13.507088079 3.472290696 -1.277972665
## [306] -1.784313357 -0.821697310 -3.526813884 -2.072613052 -7.989728486
## [311] -0.378788332 -4.066387925 12.085254037 -4.111392271 -0.182648453
## [316] -4.582381858 0.572520648 0.852681623 8.149303425 3.587062627
## [321] -2.548991021 -3.949613834 -1.080118512 4.771222939 7.238085601
## [326] 1.592390336 14.735717544 -2.554505489 -11.551288712 8.137016820
## [331] -13.705215840 7.434505134 -1.084441301 -0.312012734 -2.852808361
## [336] -4.521937661 -8.235825444 -20.953789926 14.931274102 6.659750570
## [341] -0.911583341 -0.550965581 0.459348534 3.246452821 8.174762165
## [346] -0.738616407 -3.777201015 0.682014579 -1.627444913 -3.336569384
## [351] 0.267499045 -0.894460346 -3.473841071 0.000000000 0.000000000
## [356] 4.546237408 -0.534760633 -0.447828782 -1.083043077 0.090702954
## [361] 2.859891066 -0.530036577 -1.247788026 -2.084352759 0.638979810
## [366] 2.249307605 3.754260183 2.454630222 1.246380904 -3.017831697
## [371] -0.597526319 0.427168527 -0.341588718 -1.204833852 -1.219527309
## [376] 2.167401705 4.609110720 -4.780784582 2.125026840 0.084068941
## [381] 0.335570785 0.167364056 4.894941252 1.029712069 -1.989719442
## [386] 6.005703122 8.833525425 -5.483751864 -3.349773561 0.829254658
## [391] -3.592285377 2.459770441 -2.381979695 1.925357897 1.288384627
## [396] -1.517479802 0.913248356 -0.151630052 0.151630052 1.876227646
## [401] -1.271996200 -1.900475291 -1.391057980 -1.410681701 -3.616304059
## [406] -1.317976244 -2.519024883 0.169923575 1.097520514 0.669458567
## [411] -0.417886107 0.334448472 -0.167084416 0.333890127 4.799619827
## [416] -4.383818812 0.661706302 0.411353933 -0.411353933 -0.744728308
## [421] -0.583092031 -5.054609087 1.309490558 -0.521740314 -3.278982282
## [426] -6.225883931 7.390249974 -2.433648723 -1.748779035 0.278164296
## [431] 0.185013929 2.464752794 -0.905803295 -0.822297918 -0.459770925
## [436] -0.276880657 -1.396020810 -1.510888042 -2.115463504 -3.964840421
## [441] 2.101127821 -1.295483987 2.476600080 -1.577942010 -0.698257201
## [446] -5.240027639 1.880933196 -0.831605624 0.520563383 2.966969549
## [451] -0.708146611 -6.501240667 2.037604007 -1.174599730 -3.386451395
## [456] -3.045920748 -6.752120088 5.251803428 -1.641302964 -8.507900924
## [461] 1.659259509 -6.403232016 -8.590782713 14.867352268 6.025177964
## [466] -2.537900562 3.251339974 -3.742138505 0.735297431 3.950244298
## [471] -0.824989947 -2.516609745 -4.721373748 0.000000000 0.000000000
## [476] 0.127145599 -3.097021713 0.392413846 3.085077572 -4.134955982
## [481] -5.840084295 1.526747213 -1.806859441 2.081962778 -1.801850550
## [486] 5.310982531 9.482778713 -1.703204189 -2.107951579 2.353049741
## [491] 2.418497563 14.850239780 15.076109586 -9.274482832 -0.487093023
## [496] -3.680176617 4.361444458 0.580272421 1.626052087 -8.099192464
## [501] 1.125331569 -0.407747762 0.407747762 0.507357760 -2.459140314
## [506] 6.622278661 -0.584227562 1.454218550 2.001019601 2.882579873
## [511] -1.850191539 0.186567218 -1.030454083 -0.471921593 0.094562655
## [516] -0.378788332 0.189573516 -0.665085587 0.665085587 1.690181080
## [521] 0.000000000 0.649654257 2.917253364 2.747182066 -0.789824202
## [526] 0.702373388 0.957778327 -0.870327513 -3.468555799 2.148695020
## [531] 0.530036577 0.263968477 -0.794005054 14.410417834 -0.924505814
## [536] -0.154918699 -1.483822617 0.861736629 -0.390778145 -3.425265157
## [541] 2.796826325 -0.711746777 4.120287436 -0.534556447 3.461594677
## [546] 7.066799628 6.277093645 2.556049698 9.099920891 9.237332013
## [551] 2.489755162 -5.366884890 4.129755710 1.544034792 -3.640547639
## [556] -12.629372532 6.401254149 8.790350054 10.246525978 9.080968395
## [561] 19.535679509 0.279622692 21.042779461 26.153726057 2.025931360
## [566] -27.700040190 23.250014813 -2.988676143 -0.900387013 -1.283714676
## [571] 2.482438112 20.520170315 -5.387023516 1.058003599 -3.167954485
## [576] 1.715239499 4.919499008 -2.612907302 -3.380160665 1.409172867
## [581] -3.857448921 -10.577026776 1.670844921 1.246122044 -5.336718624
## [586] -2.527594108 5.763676831 -2.284247330 0.507030356 -0.091996327
## [591] 6.351694566 7.606490486 -4.754019526 2.875366153 -0.777895427
## [596] -0.701178373 4.867189795 -5.261176826 3.089127702 -2.985296315
## [601] 0.847375123 0.574596286 2.425831506 -0.320064286 5.647918324
## [606] 16.413663186 13.732060493 -4.074028707 14.607278721 -3.424069833
## [611] 0.779731046 3.147357957 19.340309685 -1.899451805 3.071099330
## [616] -4.300840259 -2.724787449 -0.087728923 -1.525565736 -0.379464741
## [621] -0.830905297 2.428277032 -0.099091668 1.757975065 -3.457732702
## [626] 0.658888977 7.719599918 28.629006852 -1.308633724 21.524036309
## [631] 7.693996654 6.696138272 3.866253344 -8.019195944 -9.199414529
## [636] -0.627669648 6.879136523 13.956003034 16.880250515 -0.298397955
## [641] -3.795857093 0.524959142 0.294919558 9.013724964 1.352630674
## [646] 6.108828791 -2.401264251 1.446902527 7.455268155 18.343791510
## [651] 0.697112905 14.827950095 0.479024716 -10.346476991 0.741989537
## [656] 2.380217969 2.572866766 -2.038985702 -0.412293932 -2.956906341
## [661] -6.257867693 -0.370804774 1.518956812 -5.462190613 -6.553859855
## [666] -10.523215655 7.197349963 11.383190293 -7.991328888 -3.286129715
## [671] -6.415906925 4.717571275 -2.180247594 -3.274257445 -1.564723045
## [676] 0.552661780 -9.483313437 2.383026512 -3.561195182 -13.878303809
## [681] -7.035469634 16.195321029 -10.105114341 -4.800061292 -16.360049336
## [686] -5.815450764 19.804207960 18.617676951 -13.427349866 9.574378702
## [691] -3.694779611 5.039322912 -1.242852124 -0.852088766 -8.014299349
## [696] -1.082666238 -0.263942672 -5.523709525 6.701166810 -4.622983814
## [701] 3.626451250 10.349742988 -3.054867573 2.303183808 -1.097833232
## [706] 14.031782573 1.862279991 2.964353270 10.076804660 -0.225365473
## [711] -0.835240294 4.715727824 0.536280926 -4.057098157 0.642164152
## [716] -3.435575348 4.381248095 -0.363937540 -1.846576856 0.155190477
## [721] 1.286191364 6.621567822 -1.816745969 0.689091107 2.691442215
## [726] 1.787010022 0.711340885 4.582917684 -0.595990303 5.998201565
## [731] 2.398799354 1.320385105 1.127992356 -10.195123294 -0.889073196
## [736] -15.404985813 5.310634887 6.094699327 -1.170168368 -10.706753611
## [741] -0.714978564 -1.479985904 1.673636272 -1.198477853 -5.119928802
## [746] -25.087550451 15.327411590 -2.021328282 2.561977581 15.208126587
## [751] -4.044464513 0.438721338 -9.297935314 2.483340103 7.850655543
## [756] -1.403889848 3.526480599 -1.839981488 6.556797156 -2.427504063
## [761] -2.587343787 3.396444709 0.307931969 -1.666816375 -1.602799336
## [766] 0.006831534 0.809638387 4.550152478 0.700059315 -0.771307456
## [771] -3.652244210 1.195778970 0.767351784 0.190921418 10.826670690
## [776] 0.200477676 -0.834028258 -0.963913221 -5.087041203 -0.760122745
## [781] -2.084914660 -1.464988105 -0.999809692 -1.829984754 -2.741403511
## [786] 3.866866076 -0.140830926 -0.507965367 0.474404941 -0.518257933
## [791] 2.794779010 0.849456232 -0.528428669 -5.040547908 -0.769991547
## [796] 5.718922407 -1.796851092 -1.210469623 0.719330833 -1.450669796
## [801] 4.767783591 3.823700780 -7.134116203 5.251663234 -2.467513523
## [806] 3.123149730 6.478315594 -1.346460616 -0.985526579 0.546705281
## [811] 4.540212767 1.907426430 3.700892191 -1.959526800 5.698879242
## [816] 7.828264134 14.250915348 -2.062410488 1.186147240 1.888612408
## [821] -1.518167133 -9.309196910 3.195087054 4.746192597 -0.677021553
## [826] 0.505513311 0.905660119 -1.648677590 -8.155523589 2.001552841
## [831] 5.010405445 3.322421851 -7.105874107 17.063041497 21.088778300
## [836] 8.281206501 -0.602734883 -1.474093105 1.453987117 3.595667925
## [841] 9.530640100 4.147576741 -0.883629578 0.292170056 -18.848658793
## [846] 5.767443559 -3.224178362 8.827809670 1.508147727 -1.660221066
## [851] -2.904503387 1.797653832 -5.678080097 5.935105372 2.171394970
## [856] 13.727913544 8.199599931 1.449345614 1.968707350 4.697256312
## [861] 10.480811529 -1.064126070 12.634815044 -2.511393732 -9.056705184
## [866] 9.244213117 9.528370393 -2.336235172 -5.462936034 -19.714664191
## [871] -4.322593443 1.210618816 1.555652295 10.071987794 -9.081644986
## [876] -4.971113582 -1.676036522 7.390107495 -0.994374710 0.289312256
## [881] 5.171091970 11.453772584 -5.149173264 -10.033150618 4.408920550
## [886] -7.762091558 -11.938578495 4.827146844 -14.440225443 -16.530702490
## [891] 11.050030657 -4.474738761 7.961924800 7.527583232 -2.661832702
## [896] -4.984333176 6.141365140 -2.919259338 8.993562802 1.190208398
## [901] 1.059843710 2.982338751 -5.455648782 2.348331198 -5.380819143
## [906] -5.149698040 -4.537009553 5.978423293 -2.602069149 0.690910544
## [911] 2.923898575 0.865994464 -2.528480549 1.823209835 -1.741468507
## [916] -0.060715747 1.237363730 -1.514555269 -4.497521615 -8.125116704
## [921] -6.927575182 3.904542447 -6.339239757 5.548623981 -3.692355105
## [926] -0.997582713 -11.709608090 -0.498933060 -1.664699824 -8.683008291
## [931] -0.912350288 1.829026381 0.426592750 0.535142198 -4.036992332
## [936] 0.500726266 -3.730942363 0.303728063 -6.847666019 -8.367648651
## [941] -0.492003174 -14.939351936 2.330749636 0.568004052 -4.518433818
## [946] 1.984393873 7.261303528 -9.179877613 0.729011463 -3.280027411
## [951] 4.063406175 3.844867178 -0.362378094 3.833825362 3.583052066
## [956] 13.667643250 -0.117678103 2.069468908 5.642348658 -4.013153435
## [961] -1.543724283 4.036173484 8.053579565 8.114315060 -1.616897727
## [966] 2.457510501 3.511352353 9.434891312 -13.449762901 6.881380636
## [971] -2.672417142 5.911879616 0.851738098 -2.837966703 0.538475426
## [976] 1.838851817 12.341985360 0.999137276 3.937610025 -2.827276168
## [981] -4.952088713 -0.279857734 -0.042511359 -3.456707067 -6.702392059
## [986] 1.066540229 6.419557048 -0.217232490 -3.203375562 0.088932184
## [991] -5.305338713 3.360542094 0.409192310 2.723631551 -2.400335368
## [996] -7.950132683 -10.101090489 2.966476328 -2.473288643 0.185382085
## [1001] -2.665538852 -10.455810139 9.366201423 -1.480481663 3.547774840
## [1006] 0.303684126 1.848664482 4.655999110 -4.293028432 2.799953611
## [1011] -0.422021235 -0.370941709 -0.751029352 -1.099362672 -12.431998582
## [1016] 1.484562568 -6.733694918 -4.023484112 8.434606698 -5.950968679
## [1021] 1.828573887 -0.016018582 3.857508908 3.686364846 -0.383270544
## [1026] -1.741234621 -12.279614939 1.806561076 -4.046925433 1.045096621
## [1031] -6.383119858 2.298478599 -4.556333367 3.172133690 4.270097365
## [1036] -0.312410876 4.643487613 -2.392774394 0.674227410 1.501647715
## [1041] -0.063263113 3.728708683 -0.650392221 -2.636312838 -9.151195864
## [1046] 2.719742675 -3.593474050 0.871429958 0.314801671 3.281350470
## [1051] 6.377227587 4.233393212 -4.118894547 -2.383421242 -4.050597761
## [1056] 2.575926551 -0.650846225 -1.823064394 6.182087370 -1.592069249
## [1061] -1.777179012 1.214550804 -0.589367497 -0.019277108 -2.073487843
## [1066] -5.248533721 -3.056352466 -1.977553705 1.364954209 -2.638266368
## [1071] 0.787367135 -0.922477393 -6.843992704 -6.222999250 2.438031514
## [1076] -9.011292652 -4.103891507 -0.190318763 -11.169234956 -2.110318981
## [1081] 0.834625625 1.732100384 9.639034250 -6.899512625 1.912795945
## [1086] -9.769207060 3.112082591 -3.691815630 2.313419288 1.841908892
## [1091] -1.336196142 -1.503083068 4.021894365 3.263788947 -2.188136661
## [1096] -1.962179809 -0.218456096 4.128749462 -0.091427804 -2.012112777
## [1101] -1.129759127 -21.093900885 -0.919387195 -5.195160640 -9.389775019
## [1106] -0.267521549 0.166654080 -6.655218645 -0.942840905 14.654655540
## [1111] -1.353930927 6.007214878 -0.549080996 -11.712322089 6.092005381
## [1116] 0.390699944 6.872336603 9.355301183 -2.600846946 1.584949713
## [1121] -6.981298504 -4.331967309 -1.478982936 6.121421229 -3.252643919
## [1126] 4.247504091 0.813695158 -0.913169681 -2.050300232 -2.667660316
## [1131] 0.822194729 2.347713537 -0.931594631 0.473504591 1.402854973
## [1136] -0.914007194 -0.886972697 -17.859639974 3.973826405 1.681645487
## [1141] -2.238294780 7.096085572 0.281052942 -1.350530560 -2.016334809
## [1146] 0.122919601 0.919546709 -0.107170704 -0.562087552 0.053901753
## [1151] -0.127450998 -0.753308503 0.502835666 0.563906660 0.322202974
## [1156] -3.962046161 0.227934757 -0.055669426 0.726322168 0.880622122
## [1161] -0.289349167 3.408472168 1.137876262 4.403447351 -0.719806881
## [1166] -2.487783197 -0.957444038 1.188320292 -0.457558760 -0.645071724
## [1171] -1.737588115 -12.698859478 -0.567854435 -3.093753741 -0.675175650
## [1176] 1.707691772 -17.449584054 -12.640486961 4.232764710 -7.898340489
## [1181] -2.498928687 -8.608281023 2.797933854 -7.521939211 2.099935034
## [1186] 10.760844090 -4.151147053 -3.747247580 4.204875497 -1.610944703
## [1191] -6.734936481 1.405517342 -7.419163316 -11.139790040 1.902143160
## [1196] -1.477514072 3.154835773 -3.655871567 -3.296818917 2.287152745
## [1201] -4.547006961 -2.750158697 0.225185280 1.071543959 10.792223516
## [1206] 6.679651039 -0.581941772 13.619871947 -5.665074292 6.891978276
## [1211] 10.796648019 7.631444172 -8.207195196 1.550773983 -12.087680977
## [1216] 16.933482719 -0.608477068 1.728776038 -4.835463809 5.893900257
## [1221] 9.227355790 -4.137251115 3.581586443 0.941517241 1.281864432
## [1226] -3.770864481 -0.938787802 0.192441746 -16.567488625 -0.219315510
## [1231] -1.278426503 -7.356438600 9.912638623 -5.866691253 1.434534340
## [1236] 0.064719685 -1.663579097 2.453014485 -4.086211408#9) Use date variable to create attribute "time" for
# BTCRet, LTCRet, and ETHRet
attr(BTCRet,"time")<-date
attr(LTCRet,"time")<-date
attr(ETHRet,"time")<-date#10) Create a character variable CoinDates which extracts the dates
# from the BTCRet variable by using
# as.character(format(as.POSIXct(attr()),"%Y-%m-%d")) function
CoinDates <- as.character(format(as.POSIXct(attr(BTCRet,"time")),"%Y-%m-%d"))
CoinDates## [1] "2015-09-01" "2015-09-02" "2015-09-03" "2015-09-04" "2015-09-05"
## [6] "2015-09-06" "2015-09-07" "2015-09-08" "2015-09-09" "2015-09-10"
## [11] "2015-09-11" "2015-09-12" "2015-09-13" "2015-09-14" "2015-09-15"
## [16] "2015-09-16" "2015-09-17" "2015-09-18" "2015-09-19" "2015-09-20"
## [21] "2015-09-21" "2015-09-22" "2015-09-23" "2015-09-24" "2015-09-25"
## [26] "2015-09-26" "2015-09-27" "2015-09-28" "2015-09-29" "2015-09-30"
## [31] "2015-10-01" "2015-10-02" "2015-10-03" "2015-10-04" "2015-10-05"
## [36] "2015-10-06" "2015-10-07" "2015-10-08" "2015-10-09" "2015-10-10"
## [41] "2015-10-11" "2015-10-12" "2015-10-13" "2015-10-14" "2015-10-15"
## [46] "2015-10-16" "2015-10-17" "2015-10-18" "2015-10-19" "2015-10-20"
## [51] "2015-10-21" "2015-10-22" "2015-10-23" "2015-10-24" "2015-10-25"
## [56] "2015-10-26" "2015-10-27" "2015-10-28" "2015-10-29" "2015-10-30"
## [61] "2015-10-31" "2015-11-01" "2015-11-02" "2015-11-03" "2015-11-04"
## [66] "2015-11-05" "2015-11-06" "2015-11-07" "2015-11-08" "2015-11-09"
## [71] "2015-11-10" "2015-11-11" "2015-11-12" "2015-11-13" "2015-11-14"
## [76] "2015-11-15" "2015-11-16" "2015-11-17" "2015-11-18" "2015-11-19"
## [81] "2015-11-20" "2015-11-21" "2015-11-22" "2015-11-23" "2015-11-24"
## [86] "2015-11-25" "2015-11-26" "2015-11-27" "2015-11-28" "2015-11-29"
## [91] "2015-11-30" "2015-12-01" "2015-12-02" "2015-12-03" "2015-12-04"
## [96] "2015-12-05" "2015-12-06" "2015-12-07" "2015-12-08" "2015-12-09"
## [101] "2015-12-10" "2015-12-11" "2015-12-12" "2015-12-13" "2015-12-14"
## [106] "2015-12-15" "2015-12-16" "2015-12-17" "2015-12-18" "2015-12-19"
## [111] "2015-12-20" "2015-12-21" "2015-12-22" "2015-12-23" "2015-12-24"
## [116] "2015-12-25" "2015-12-26" "2015-12-27" "2015-12-28" "2015-12-29"
## [121] "2015-12-30" "2015-12-31" "2016-01-01" "2016-01-02" "2016-01-03"
## [126] "2016-01-04" "2016-01-05" "2016-01-06" "2016-01-07" "2016-01-08"
## [131] "2016-01-09" "2016-01-10" "2016-01-11" "2016-01-12" "2016-01-13"
## [136] "2016-01-14" "2016-01-15" "2016-01-16" "2016-01-17" "2016-01-18"
## [141] "2016-01-19" "2016-01-20" "2016-01-21" "2016-01-22" "2016-01-23"
## [146] "2016-01-24" "2016-01-25" "2016-01-26" "2016-01-27" "2016-01-28"
## [151] "2016-01-29" "2016-01-30" "2016-01-31" "2016-02-01" "2016-02-02"
## [156] "2016-02-03" "2016-02-04" "2016-02-05" "2016-02-06" "2016-02-07"
## [161] "2016-02-08" "2016-02-09" "2016-02-10" "2016-02-11" "2016-02-12"
## [166] "2016-02-13" "2016-02-14" "2016-02-15" "2016-02-16" "2016-02-17"
## [171] "2016-02-18" "2016-02-19" "2016-02-20" "2016-02-21" "2016-02-22"
## [176] "2016-02-23" "2016-02-24" "2016-02-25" "2016-02-26" "2016-02-27"
## [181] "2016-02-28" "2016-02-29" "2016-03-01" "2016-03-02" "2016-03-03"
## [186] "2016-03-04" "2016-03-05" "2016-03-06" "2016-03-07" "2016-03-08"
## [191] "2016-03-09" "2016-03-10" "2016-03-11" "2016-03-12" "2016-03-13"
## [196] "2016-03-14" "2016-03-15" "2016-03-16" "2016-03-17" "2016-03-18"
## [201] "2016-03-19" "2016-03-20" "2016-03-21" "2016-03-22" "2016-03-23"
## [206] "2016-03-24" "2016-03-25" "2016-03-26" "2016-03-27" "2016-03-28"
## [211] "2016-03-29" "2016-03-30" "2016-03-31" "2016-04-01" "2016-04-02"
## [216] "2016-04-03" "2016-04-04" "2016-04-05" "2016-04-06" "2016-04-07"
## [221] "2016-04-08" "2016-04-09" "2016-04-10" "2016-04-11" "2016-04-12"
## [226] "2016-04-13" "2016-04-14" "2016-04-15" "2016-04-16" "2016-04-17"
## [231] "2016-04-18" "2016-04-19" "2016-04-20" "2016-04-21" "2016-04-22"
## [236] "2016-04-23" "2016-04-24" "2016-04-25" "2016-04-26" "2016-04-27"
## [241] "2016-04-28" "2016-04-29" "2016-04-30" "2016-05-01" "2016-05-02"
## [246] "2016-05-03" "2016-05-04" "2016-05-05" "2016-05-06" "2016-05-07"
## [251] "2016-05-08" "2016-05-09" "2016-05-10" "2016-05-11" "2016-05-12"
## [256] "2016-05-13" "2016-05-14" "2016-05-15" "2016-05-16" "2016-05-17"
## [261] "2016-05-18" "2016-05-19" "2016-05-20" "2016-05-21" "2016-05-22"
## [266] "2016-05-23" "2016-05-24" "2016-05-25" "2016-05-26" "2016-05-27"
## [271] "2016-05-28" "2016-05-29" "2016-05-30" "2016-05-31" "2016-06-01"
## [276] "2016-06-02" "2016-06-03" "2016-06-04" "2016-06-05" "2016-06-06"
## [281] "2016-06-07" "2016-06-08" "2016-06-09" "2016-06-10" "2016-06-11"
## [286] "2016-06-12" "2016-06-13" "2016-06-14" "2016-06-15" "2016-06-16"
## [291] "2016-06-17" "2016-06-18" "2016-06-19" "2016-06-20" "2016-06-21"
## [296] "2016-06-22" "2016-06-23" "2016-06-24" "2016-06-25" "2016-06-26"
## [301] "2016-06-27" "2016-06-28" "2016-06-29" "2016-06-30" "2016-07-01"
## [306] "2016-07-02" "2016-07-03" "2016-07-04" "2016-07-05" "2016-07-06"
## [311] "2016-07-07" "2016-07-08" "2016-07-09" "2016-07-10" "2016-07-11"
## [316] "2016-07-12" "2016-07-13" "2016-07-14" "2016-07-15" "2016-07-16"
## [321] "2016-07-17" "2016-07-18" "2016-07-19" "2016-07-20" "2016-07-21"
## [326] "2016-07-22" "2016-07-23" "2016-07-24" "2016-07-25" "2016-07-26"
## [331] "2016-07-27" "2016-07-28" "2016-07-29" "2016-07-30" "2016-07-31"
## [336] "2016-08-01" "2016-08-02" "2016-08-03" "2016-08-04" "2016-08-05"
## [341] "2016-08-06" "2016-08-07" "2016-08-08" "2016-08-09" "2016-08-10"
## [346] "2016-08-11" "2016-08-12" "2016-08-13" "2016-08-14" "2016-08-15"
## [351] "2016-08-16" "2016-08-17" "2016-08-18" "2016-08-19" "2016-08-20"
## [356] "2016-08-21" "2016-08-22" "2016-08-23" "2016-08-24" "2016-08-25"
## [361] "2016-08-26" "2016-08-27" "2016-08-28" "2016-08-29" "2016-08-30"
## [366] "2016-08-31" "2016-09-01" "2016-09-02" "2016-09-03" "2016-09-04"
## [371] "2016-09-05" "2016-09-06" "2016-09-07" "2016-09-08" "2016-09-09"
## [376] "2016-09-10" "2016-09-11" "2016-09-12" "2016-09-13" "2016-09-14"
## [381] "2016-09-15" "2016-09-16" "2016-09-17" "2016-09-18" "2016-09-19"
## [386] "2016-09-20" "2016-09-21" "2016-09-22" "2016-09-23" "2016-09-24"
## [391] "2016-09-25" "2016-09-26" "2016-09-27" "2016-09-28" "2016-09-29"
## [396] "2016-09-30" "2016-10-01" "2016-10-02" "2016-10-03" "2016-10-04"
## [401] "2016-10-05" "2016-10-06" "2016-10-07" "2016-10-08" "2016-10-09"
## [406] "2016-10-10" "2016-10-11" "2016-10-12" "2016-10-13" "2016-10-14"
## [411] "2016-10-15" "2016-10-16" "2016-10-17" "2016-10-18" "2016-10-19"
## [416] "2016-10-20" "2016-10-21" "2016-10-22" "2016-10-23" "2016-10-24"
## [421] "2016-10-25" "2016-10-26" "2016-10-27" "2016-10-28" "2016-10-29"
## [426] "2016-10-30" "2016-10-31" "2016-11-01" "2016-11-02" "2016-11-03"
## [431] "2016-11-04" "2016-11-05" "2016-11-06" "2016-11-07" "2016-11-08"
## [436] "2016-11-09" "2016-11-10" "2016-11-11" "2016-11-12" "2016-11-13"
## [441] "2016-11-14" "2016-11-15" "2016-11-16" "2016-11-17" "2016-11-18"
## [446] "2016-11-19" "2016-11-20" "2016-11-21" "2016-11-22" "2016-11-23"
## [451] "2016-11-24" "2016-11-25" "2016-11-26" "2016-11-27" "2016-11-28"
## [456] "2016-11-29" "2016-11-30" "2016-12-01" "2016-12-02" "2016-12-03"
## [461] "2016-12-04" "2016-12-05" "2016-12-06" "2016-12-07" "2016-12-08"
## [466] "2016-12-09" "2016-12-10" "2016-12-11" "2016-12-12" "2016-12-13"
## [471] "2016-12-14" "2016-12-15" "2016-12-16" "2016-12-17" "2016-12-18"
## [476] "2016-12-19" "2016-12-20" "2016-12-21" "2016-12-22" "2016-12-23"
## [481] "2016-12-24" "2016-12-25" "2016-12-26" "2016-12-27" "2016-12-28"
## [486] "2016-12-29" "2016-12-30" "2016-12-31" "2017-01-01" "2017-01-02"
## [491] "2017-01-03" "2017-01-04" "2017-01-05" "2017-01-06" "2017-01-07"
## [496] "2017-01-08" "2017-01-09" "2017-01-10" "2017-01-11" "2017-01-12"
## [501] "2017-01-13" "2017-01-14" "2017-01-15" "2017-01-16" "2017-01-17"
## [506] "2017-01-18" "2017-01-19" "2017-01-20" "2017-01-21" "2017-01-22"
## [511] "2017-01-23" "2017-01-24" "2017-01-25" "2017-01-26" "2017-01-27"
## [516] "2017-01-28" "2017-01-29" "2017-01-30" "2017-01-31" "2017-02-01"
## [521] "2017-02-02" "2017-02-03" "2017-02-04" "2017-02-05" "2017-02-06"
## [526] "2017-02-07" "2017-02-08" "2017-02-09" "2017-02-10" "2017-02-11"
## [531] "2017-02-12" "2017-02-13" "2017-02-14" "2017-02-15" "2017-02-16"
## [536] "2017-02-17" "2017-02-18" "2017-02-19" "2017-02-20" "2017-02-21"
## [541] "2017-02-22" "2017-02-23" "2017-02-24" "2017-02-25" "2017-02-26"
## [546] "2017-02-27" "2017-02-28" "2017-03-01" "2017-03-02" "2017-03-03"
## [551] "2017-03-04" "2017-03-05" "2017-03-06" "2017-03-07" "2017-03-08"
## [556] "2017-03-09" "2017-03-10" "2017-03-11" "2017-03-12" "2017-03-13"
## [561] "2017-03-14" "2017-03-15" "2017-03-16" "2017-03-17" "2017-03-18"
## [566] "2017-03-19" "2017-03-20" "2017-03-21" "2017-03-22" "2017-03-23"
## [571] "2017-03-24" "2017-03-25" "2017-03-26" "2017-03-27" "2017-03-28"
## [576] "2017-03-29" "2017-03-30" "2017-03-31" "2017-04-01" "2017-04-02"
## [581] "2017-04-03" "2017-04-04" "2017-04-05" "2017-04-06" "2017-04-07"
## [586] "2017-04-08" "2017-04-09" "2017-04-10" "2017-04-11" "2017-04-12"
## [591] "2017-04-13" "2017-04-14" "2017-04-15" "2017-04-16" "2017-04-17"
## [596] "2017-04-18" "2017-04-19" "2017-04-20" "2017-04-21" "2017-04-22"
## [601] "2017-04-23" "2017-04-24" "2017-04-25" "2017-04-26" "2017-04-27"
## [606] "2017-04-28" "2017-04-29" "2017-04-30" "2017-05-01" "2017-05-02"
## [611] "2017-05-03" "2017-05-04" "2017-05-05" "2017-05-06" "2017-05-07"
## [616] "2017-05-08" "2017-05-09" "2017-05-10" "2017-05-11" "2017-05-12"
## [621] "2017-05-13" "2017-05-14" "2017-05-15" "2017-05-16" "2017-05-17"
## [626] "2017-05-18" "2017-05-19" "2017-05-20" "2017-05-21" "2017-05-22"
## [631] "2017-05-23" "2017-05-24" "2017-05-25" "2017-05-26" "2017-05-27"
## [636] "2017-05-28" "2017-05-29" "2017-05-30" "2017-05-31" "2017-06-01"
## [641] "2017-06-02" "2017-06-03" "2017-06-04" "2017-06-05" "2017-06-06"
## [646] "2017-06-07" "2017-06-08" "2017-06-09" "2017-06-10" "2017-06-11"
## [651] "2017-06-12" "2017-06-13" "2017-06-14" "2017-06-15" "2017-06-16"
## [656] "2017-06-17" "2017-06-18" "2017-06-19" "2017-06-20" "2017-06-21"
## [661] "2017-06-22" "2017-06-23" "2017-06-24" "2017-06-25" "2017-06-26"
## [666] "2017-06-27" "2017-06-28" "2017-06-29" "2017-06-30" "2017-07-01"
## [671] "2017-07-02" "2017-07-03" "2017-07-04" "2017-07-05" "2017-07-06"
## [676] "2017-07-07" "2017-07-08" "2017-07-09" "2017-07-10" "2017-07-11"
## [681] "2017-07-12" "2017-07-13" "2017-07-14" "2017-07-15" "2017-07-16"
## [686] "2017-07-17" "2017-07-18" "2017-07-19" "2017-07-20" "2017-07-21"
## [691] "2017-07-22" "2017-07-23" "2017-07-24" "2017-07-25" "2017-07-26"
## [696] "2017-07-27" "2017-07-28" "2017-07-29" "2017-07-30" "2017-07-31"
## [701] "2017-08-01" "2017-08-02" "2017-08-03" "2017-08-04" "2017-08-05"
## [706] "2017-08-06" "2017-08-07" "2017-08-08" "2017-08-09" "2017-08-10"
## [711] "2017-08-11" "2017-08-12" "2017-08-13" "2017-08-14" "2017-08-15"
## [716] "2017-08-16" "2017-08-17" "2017-08-18" "2017-08-19" "2017-08-20"
## [721] "2017-08-21" "2017-08-22" "2017-08-23" "2017-08-24" "2017-08-25"
## [726] "2017-08-26" "2017-08-27" "2017-08-28" "2017-08-29" "2017-08-30"
## [731] "2017-08-31" "2017-09-01" "2017-09-02" "2017-09-03" "2017-09-04"
## [736] "2017-09-05" "2017-09-06" "2017-09-07" "2017-09-08" "2017-09-09"
## [741] "2017-09-10" "2017-09-11" "2017-09-12" "2017-09-13" "2017-09-14"
## [746] "2017-09-15" "2017-09-16" "2017-09-17" "2017-09-18" "2017-09-19"
## [751] "2017-09-20" "2017-09-21" "2017-09-22" "2017-09-23" "2017-09-24"
## [756] "2017-09-25" "2017-09-26" "2017-09-27" "2017-09-28" "2017-09-29"
## [761] "2017-09-30" "2017-10-01" "2017-10-02" "2017-10-03" "2017-10-04"
## [766] "2017-10-05" "2017-10-06" "2017-10-07" "2017-10-08" "2017-10-09"
## [771] "2017-10-10" "2017-10-11" "2017-10-12" "2017-10-13" "2017-10-14"
## [776] "2017-10-15" "2017-10-16" "2017-10-17" "2017-10-18" "2017-10-19"
## [781] "2017-10-20" "2017-10-21" "2017-10-22" "2017-10-23" "2017-10-24"
## [786] "2017-10-25" "2017-10-26" "2017-10-27" "2017-10-28" "2017-10-29"
## [791] "2017-10-30" "2017-10-31" "2017-11-01" "2017-11-02" "2017-11-03"
## [796] "2017-11-04" "2017-11-05" "2017-11-06" "2017-11-07" "2017-11-08"
## [801] "2017-11-09" "2017-11-10" "2017-11-11" "2017-11-12" "2017-11-13"
## [806] "2017-11-14" "2017-11-15" "2017-11-16" "2017-11-17" "2017-11-18"
## [811] "2017-11-19" "2017-11-20" "2017-11-21" "2017-11-22" "2017-11-23"
## [816] "2017-11-24" "2017-11-25" "2017-11-26" "2017-11-27" "2017-11-28"
## [821] "2017-11-29" "2017-11-30" "2017-12-01" "2017-12-02" "2017-12-03"
## [826] "2017-12-04" "2017-12-05" "2017-12-06" "2017-12-07" "2017-12-08"
## [831] "2017-12-09" "2017-12-10" "2017-12-11" "2017-12-12" "2017-12-13"
## [836] "2017-12-14" "2017-12-15" "2017-12-16" "2017-12-17" "2017-12-18"
## [841] "2017-12-19" "2017-12-20" "2017-12-21" "2017-12-22" "2017-12-23"
## [846] "2017-12-24" "2017-12-25" "2017-12-26" "2017-12-27" "2017-12-28"
## [851] "2017-12-29" "2017-12-30" "2017-12-31" "2018-01-01" "2018-01-02"
## [856] "2018-01-03" "2018-01-04" "2018-01-05" "2018-01-06" "2018-01-07"
## [861] "2018-01-08" "2018-01-09" "2018-01-10" "2018-01-11" "2018-01-12"
## [866] "2018-01-13" "2018-01-14" "2018-01-15" "2018-01-16" "2018-01-17"
## [871] "2018-01-18" "2018-01-19" "2018-01-20" "2018-01-21" "2018-01-22"
## [876] "2018-01-23" "2018-01-24" "2018-01-25" "2018-01-26" "2018-01-27"
## [881] "2018-01-28" "2018-01-29" "2018-01-30" "2018-01-31" "2018-02-01"
## [886] "2018-02-02" "2018-02-03" "2018-02-04" "2018-02-05" "2018-02-06"
## [891] "2018-02-07" "2018-02-08" "2018-02-09" "2018-02-10" "2018-02-11"
## [896] "2018-02-12" "2018-02-13" "2018-02-14" "2018-02-15" "2018-02-16"
## [901] "2018-02-17" "2018-02-18" "2018-02-19" "2018-02-20" "2018-02-21"
## [906] "2018-02-22" "2018-02-23" "2018-02-24" "2018-02-25" "2018-02-26"
## [911] "2018-02-27" "2018-02-28" "2018-03-01" "2018-03-02" "2018-03-03"
## [916] "2018-03-04" "2018-03-05" "2018-03-06" "2018-03-07" "2018-03-08"
## [921] "2018-03-09" "2018-03-10" "2018-03-11" "2018-03-12" "2018-03-13"
## [926] "2018-03-14" "2018-03-15" "2018-03-16" "2018-03-17" "2018-03-18"
## [931] "2018-03-19" "2018-03-20" "2018-03-21" "2018-03-22" "2018-03-23"
## [936] "2018-03-24" "2018-03-25" "2018-03-26" "2018-03-27" "2018-03-28"
## [941] "2018-03-29" "2018-03-30" "2018-03-31" "2018-04-01" "2018-04-02"
## [946] "2018-04-03" "2018-04-04" "2018-04-05" "2018-04-06" "2018-04-07"
## [951] "2018-04-08" "2018-04-09" "2018-04-10" "2018-04-11" "2018-04-12"
## [956] "2018-04-13" "2018-04-14" "2018-04-15" "2018-04-16" "2018-04-17"
## [961] "2018-04-18" "2018-04-19" "2018-04-20" "2018-04-21" "2018-04-22"
## [966] "2018-04-23" "2018-04-24" "2018-04-25" "2018-04-26" "2018-04-27"
## [971] "2018-04-28" "2018-04-29" "2018-04-30" "2018-05-01" "2018-05-02"
## [976] "2018-05-03" "2018-05-04" "2018-05-05" "2018-05-06" "2018-05-07"
## [981] "2018-05-08" "2018-05-09" "2018-05-10" "2018-05-11" "2018-05-12"
## [986] "2018-05-13" "2018-05-14" "2018-05-15" "2018-05-16" "2018-05-17"
## [991] "2018-05-18" "2018-05-19" "2018-05-20" "2018-05-21" "2018-05-22"
## [996] "2018-05-23" "2018-05-24" "2018-05-25" "2018-05-26" "2018-05-27"
## [1001] "2018-05-28" "2018-05-29" "2018-05-30" "2018-05-31" "2018-06-01"
## [1006] "2018-06-02" "2018-06-03" "2018-06-04" "2018-06-05" "2018-06-06"
## [1011] "2018-06-07" "2018-06-08" "2018-06-09" "2018-06-10" "2018-06-11"
## [1016] "2018-06-12" "2018-06-13" "2018-06-14" "2018-06-15" "2018-06-16"
## [1021] "2018-06-17" "2018-06-18" "2018-06-19" "2018-06-20" "2018-06-21"
## [1026] "2018-06-22" "2018-06-23" "2018-06-24" "2018-06-25" "2018-06-26"
## [1031] "2018-06-27" "2018-06-28" "2018-06-29" "2018-06-30" "2018-07-01"
## [1036] "2018-07-02" "2018-07-03" "2018-07-04" "2018-07-05" "2018-07-06"
## [1041] "2018-07-07" "2018-07-08" "2018-07-09" "2018-07-10" "2018-07-11"
## [1046] "2018-07-12" "2018-07-13" "2018-07-14" "2018-07-15" "2018-07-16"
## [1051] "2018-07-17" "2018-07-18" "2018-07-19" "2018-07-20" "2018-07-21"
## [1056] "2018-07-22" "2018-07-23" "2018-07-24" "2018-07-25" "2018-07-26"
## [1061] "2018-07-27" "2018-07-28" "2018-07-29" "2018-07-30" "2018-07-31"
## [1066] "2018-08-01" "2018-08-02" "2018-08-03" "2018-08-04" "2018-08-05"
## [1071] "2018-08-06" "2018-08-07" "2018-08-08" "2018-08-09" "2018-08-10"
## [1076] "2018-08-11" "2018-08-12" "2018-08-13" "2018-08-14" "2018-08-15"
## [1081] "2018-08-16" "2018-08-17" "2018-08-18" "2018-08-19" "2018-08-20"
## [1086] "2018-08-21" "2018-08-22" "2018-08-23" "2018-08-24" "2018-08-25"
## [1091] "2018-08-26" "2018-08-27" "2018-08-28" "2018-08-29" "2018-08-30"
## [1096] "2018-08-31" "2018-09-01" "2018-09-02" "2018-09-03" "2018-09-04"
## [1101] "2018-09-05" "2018-09-06" "2018-09-07" "2018-09-08" "2018-09-09"
## [1106] "2018-09-10" "2018-09-11" "2018-09-12" "2018-09-13" "2018-09-14"
## [1111] "2018-09-15" "2018-09-16" "2018-09-17" "2018-09-18" "2018-09-19"
## [1116] "2018-09-20" "2018-09-21" "2018-09-22" "2018-09-23" "2018-09-24"
## [1121] "2018-09-25" "2018-09-26" "2018-09-27" "2018-09-28" "2018-09-29"
## [1126] "2018-09-30" "2018-10-01" "2018-10-02" "2018-10-03" "2018-10-04"
## [1131] "2018-10-05" "2018-10-06" "2018-10-07" "2018-10-08" "2018-10-09"
## [1136] "2018-10-10" "2018-10-11" "2018-10-12" "2018-10-13" "2018-10-14"
## [1141] "2018-10-15" "2018-10-16" "2018-10-17" "2018-10-18" "2018-10-19"
## [1146] "2018-10-20" "2018-10-21" "2018-10-22" "2018-10-23" "2018-10-24"
## [1151] "2018-10-25" "2018-10-26" "2018-10-27" "2018-10-28" "2018-10-29"
## [1156] "2018-10-30" "2018-10-31" "2018-11-01" "2018-11-02" "2018-11-03"
## [1161] "2018-11-04" "2018-11-05" "2018-11-06" "2018-11-07" "2018-11-08"
## [1166] "2018-11-09" "2018-11-10" "2018-11-11" "2018-11-12" "2018-11-13"
## [1171] "2018-11-14" "2018-11-15" "2018-11-16" "2018-11-17" "2018-11-18"
## [1176] "2018-11-19" "2018-11-20" "2018-11-21" "2018-11-22" "2018-11-23"
## [1181] "2018-11-24" "2018-11-25" "2018-11-26" "2018-11-27" "2018-11-28"
## [1186] "2018-11-29" "2018-11-30" "2018-12-01" "2018-12-02" "2018-12-03"
## [1191] "2018-12-04" "2018-12-05" "2018-12-06" "2018-12-07" "2018-12-08"
## [1196] "2018-12-09" "2018-12-10" "2018-12-11" "2018-12-12" "2018-12-13"
## [1201] "2018-12-14" "2018-12-15" "2018-12-16" "2018-12-17" "2018-12-18"
## [1206] "2018-12-19" "2018-12-20" "2018-12-21" "2018-12-22" "2018-12-23"
## [1211] "2018-12-24" "2018-12-25" "2018-12-26" "2018-12-27" "2018-12-28"
## [1216] "2018-12-29" "2018-12-30" "2018-12-31" "2019-01-01" "2019-01-02"
## [1221] "2019-01-03" "2019-01-04" "2019-01-05" "2019-01-06" "2019-01-07"
## [1226] "2019-01-08" "2019-01-09" "2019-01-10" "2019-01-11" "2019-01-12"
## [1231] "2019-01-13" "2019-01-14" "2019-01-15" "2019-01-16" "2019-01-17"#11) Create time seriese called BTCReturns by using BTCRet varible
# and timeSeries() function
BTCReturns <- timeSeries(BTCRet, charvec = CoinDates)
BTCReturns ## GMT
## TS.1
## 2015-09-01 NA
## 2015-09-02 -0.973190600
## 2015-09-03 0.564120879
## 2015-09-04 -0.924370808
## 2015-09-05 1.307379632
## 2015-09-06 2.008367330
## 2015-09-07 2.131504454
## 2015-09-08 -0.033348618
## 2015-09-09 1.473353640
## 2015-09-10 -2.104903868
## 2015-09-11 -0.004195775
## 2015-09-12 0.635746003
## 2015-09-13 -1.940745836
## 2015-09-14 -1.987829756
## 2015-09-15 -0.052049448
## 2015-09-16 -0.104180241
## 2015-09-17 -0.509438761
## 2015-09-18 1.919643902
## 2015-09-19 -0.283031194
## 2015-09-20 -0.628959985
## 2015-09-21 -0.077817651
## 2015-09-22 -1.855178809
## 2015-09-23 1.734008637
## 2015-09-24 -0.251463389
## 2015-09-25 1.721509204
## 2015-09-26 0.306748707
## 2015-09-27 -0.400665469
## 2015-09-28 -0.556770465
## 2015-09-29 2.619570804
## 2015-09-30 -1.000723148
## 2015-10-01 -0.270819394
## 2015-10-02 0.532478121
## 2015-10-03 -0.025291911
## 2015-10-04 0.559142146
## 2015-10-05 -0.159436133
## 2015-10-06 0.923707222
## 2015-10-07 2.388455471
## 2015-10-08 -1.267288647
## 2015-10-09 -0.234775732
## 2015-10-10 0.510037302
## 2015-10-11 0.409433916
## 2015-10-12 0.870596606
## 2015-10-13 -0.682818455
## 2015-10-14 1.734463017
## 2015-10-15 1.044666598
## 2015-10-16 0.864917222
## 2015-10-17 3.268833733
## 2015-10-18 3.058365264
## 2015-10-19 -3.397665260
## 2015-10-20 0.650897755
## 2015-10-21 2.154414509
## 2015-10-22 -1.048888883
## 2015-10-23 2.647567398
## 2015-10-24 1.036090337
## 2015-10-25 1.774399095
## 2015-10-26 0.771575995
## 2015-10-27 0.544998800
## 2015-10-28 2.943827835
## 2015-10-29 3.552094115
## 2015-10-30 3.112210549
## 2015-10-31 4.536539401
## 2015-11-01 -4.196289451
## 2015-11-02 3.410893099
## 2015-11-03 10.457171596
## 2015-11-04 10.928790817
## 2015-11-05 1.089029414
## 2015-11-06 -5.032903631
## 2015-11-07 -3.615673521
## 2015-11-08 2.639399146
## 2015-11-09 -2.626040698
## 2015-11-10 1.500757320
## 2015-11-11 -11.170255410
## 2015-11-12 -7.876833513
## 2015-11-13 7.487636182
## 2015-11-14 -0.556939465
## 2015-11-15 -1.066206884
## 2015-11-16 -4.081573922
## 2015-11-17 3.270607931
## 2015-11-18 1.272293273
## 2015-11-19 0.026894975
## 2015-11-20 -2.502059155
## 2015-11-21 -1.332325028
## 2015-11-22 1.506799735
## 2015-11-23 -0.807582729
## 2015-11-24 -0.413989716
## 2015-11-25 -0.920604891
## 2015-11-26 2.545059092
## 2015-11-27 6.930554470
## 2015-11-28 1.489449256
## 2015-11-29 0.092358076
## 2015-11-30 3.833590118
## 2015-12-01 1.594478596
## 2015-12-02 -4.210236836
## 2015-12-03 -0.698857499
## 2015-12-04 0.535673438
## 2015-12-05 0.678642015
## 2015-12-06 6.860788592
## 2015-12-07 0.110322898
## 2015-12-08 1.468724300
## 2015-12-09 4.614551262
## ...
## [ reached getRmetricsOption('max.print') | getOption('max.print') -- omitted 1135 rows ]]#12) Rename the column of BTCReturns to "BTCReturns" by using colnames()
colnames(BTCReturns)<- "BTCReturns"#13) Devide the output window into 2 by 2 matrix by using par() function
par(mfrow=c(2,2))#14) Generate a time series plot of Daily Returns of Bitcoin
# (requires fBasics library)
library(fBasics)## Warning: package 'fBasics' was built under R version 3.6.3seriesPlot(BTCReturns)
#15) Generate a box plot of Returns of Bitcoin
boxPlot(BTCReturns)
#16) Generate a acf and pacf of Bitcoin Returns.
# Make sure to omit missing values
library(fBasics)
acf(BTCReturns,lag.max=20,na.action = na.omit,plot = TRUE)
pacf(BTCReturns, na.action = na.pass,plot = TRUE)
#17) Generate a QQ plot of Bitcoin.
# You may have to generate a variable that omits missing values.
# use na.omit() function
qqnormPlot(na.omit(BTCReturns))
#18) Generate acf and pcf of the absolute returns of Bitcoin returns
BTCreturn2 <- abs(BTCReturns)
acf(BTCreturn2, type = c("correlation", "covariance", "partial"), plot = TRUE, na.action = na.omit)
pacf(BTCreturn2, plot = TRUE, na.action = na.omit)
#19) Generate Volotility Clustering Plot of absolute daily returns
# of Bitcoin
plot(BTCreturn2)
#Part II
#20) Create new data set called PriceCoins that includes prices
# of all three coins by using cbind()
PriceCoins<- cbind(BTCPrice, LTCPrice, ETHPrice)## Warning in cbind(BTCPrice, LTCPrice, ETHPrice): number of rows of result is not
## a multiple of vector length (arg 1)PriceCoins## BTCPrice LTCPrice ETHPrice
## [1,] 230.26 2.85 1.350000
## [2,] 228.03 2.82 1.350000
## [3,] 229.32 2.80 1.300000
## [4,] 227.21 2.64 1.260000
## [5,] 230.20 2.70 1.280000
## [6,] 234.87 2.92 1.340000
## [7,] 239.93 3.04 1.300000
## [8,] 239.85 3.05 1.250000
## [9,] 243.41 3.05 1.240000
## [10,] 238.34 2.92 1.210000
## [11,] 238.33 2.95 1.160000
## [12,] 239.85 2.96 0.987228
## [13,] 235.24 2.82 1.040000
## [14,] 230.61 2.81 0.940566
## [15,] 230.49 2.84 0.875189
## [16,] 230.25 2.83 0.941977
## [17,] 229.08 2.81 0.906865
## [18,] 233.52 2.91 0.874574
## [19,] 232.86 2.95 0.849603
## [20,] 231.40 2.88 0.881191
## [21,] 231.22 2.85 0.941496
## [22,] 226.97 2.80 0.919337
## [23,] 230.94 2.86 0.903560
## [24,] 230.36 2.87 0.896796
## [25,] 234.36 2.93 0.820031
## [26,] 235.08 2.89 0.737630
## [27,] 234.14 2.89 0.791277
## [28,] 232.84 2.88 0.723715
## [29,] 239.02 3.10 0.579414
## [30,] 236.64 2.97 0.661192
## [31,] 236.00 3.01 0.734307
## [32,] 237.26 3.00 0.683732
## [33,] 237.20 3.00 0.678783
## [34,] 238.53 3.03 0.686343
## [35,] 238.15 3.02 0.666784
## [36,] 240.36 3.02 0.622218
## [37,] 246.17 3.15 0.650515
## [38,] 243.07 3.06 0.609501
## [39,] 242.50 3.07 0.655084
## [40,] 243.74 3.11 0.641187
## [41,] 244.74 3.11 0.627461
## [42,] 246.88 3.15 0.634515
## [43,] 245.20 3.14 0.627943
## [44,] 249.49 3.18 0.612240
## [45,] 252.11 3.15 0.523278
## [46,] 254.30 3.11 0.562593
## [47,] 262.75 3.11 0.534117
## [48,] 270.91 3.07 0.547913
## [49,] 261.86 3.03 0.517621
## [50,] 263.57 3.05 0.489629
## [51,] 269.31 3.09 0.431589
## [52,] 266.50 3.08 0.444988
## [53,] 273.65 3.12 0.566370
## [54,] 276.50 3.11 0.539681
## [55,] 281.45 3.11 0.563207
## [56,] 283.63 3.07 0.619743
## [57,] 285.18 3.11 0.708890
## [58,] 293.70 3.10 0.870938
## [59,] 304.32 3.10 1.010000
## [60,] 313.94 3.77 1.210000
## [61,] 328.51 4.08 1.050000
## [62,] 315.01 3.82 0.920847
## [63,] 325.94 3.98 1.060000
## [64,] 361.87 4.17 0.994568
## [65,] 403.66 4.58 1.010000
## [66,] 408.08 4.20 0.900699
## [67,] 388.05 3.95 0.904772
## [68,] 374.27 3.55 0.923732
## [69,] 384.28 3.62 0.915661
## [70,] 374.32 3.43 1.030000
## [71,] 379.98 3.40 1.000000
## [72,] 339.82 3.12 0.941296
## [73,] 314.08 2.97 0.796455
## [74,] 338.50 3.27 0.907722
## [75,] 336.62 3.22 0.905469
## [76,] 333.05 3.20 0.891217
## [77,] 319.73 3.07 0.906166
## [78,] 330.36 3.19 0.924948
## [79,] 334.59 3.20 0.993214
## [80,] 334.68 3.19 0.988713
## [81,] 326.41 3.14 0.955735
## [82,] 322.09 3.12 0.928758
## [83,] 326.98 3.16 0.979765
## [84,] 324.35 3.14 0.967493
## [85,] 323.01 3.13 0.946442
## [86,] 320.05 3.11 0.893827
## [87,] 328.30 3.35 0.863273
## [88,] 351.86 3.60 0.882100
## [89,] 357.14 3.58 0.868102
## [90,] 357.47 3.53 0.914144
## [91,] 371.44 3.66 0.879951
## [92,] 377.41 3.63 0.878316
## [93,] 361.85 3.43 0.873171
## [94,] 359.33 3.35 0.818546
## [95,] 361.26 3.38 0.812082
## [96,] 363.72 3.37 0.841195
## [97,] 389.55 3.53 0.866417
## [98,] 389.98 3.45 0.836322
## [99,] 395.75 3.65 0.806024
## [100,] 414.44 3.68 0.824454
## [101,] 417.99 3.67 0.795590
## [102,] 415.28 3.67 0.839995
## [103,] 452.33 3.84 0.931196
## [104,] 431.66 3.60 0.971538
## [105,] 433.27 3.64 0.956620
## [106,] 443.88 3.62 0.990589
## [107,] 465.21 3.84 1.020000
## [108,] 454.78 3.70 0.993043
## [109,] 455.85 3.75 0.938327
## [110,] 463.55 3.77 0.921524
## [111,] 462.23 3.74 0.908240
## [112,] 442.84 3.55 0.906065
## [113,] 437.44 3.46 0.894973
## [114,] 436.72 3.43 0.861782
## [115,] 443.09 3.59 0.859433
## [116,] 454.86 3.65 0.861993
## [117,] 455.76 3.64 0.870766
## [118,] 416.51 3.42 0.853166
## [119,] 423.34 3.48 0.856356
## [120,] 422.10 3.47 0.843835
## [121,] 433.30 3.51 0.874258
## [122,] 425.88 3.46 0.912098
## [123,] 430.72 3.48 0.933712
## [124,] 434.62 3.52 0.947401
## [125,] 433.58 3.50 0.938430
## [126,] 430.06 3.48 0.972045
## [127,] 433.07 3.49 0.953147
## [128,] 431.86 3.47 0.950028
## [129,] 430.01 3.45 0.955801
## [130,] 457.54 3.60 0.942752
## [131,] 453.38 3.57 0.985501
## [132,] 448.24 3.56 0.985557
## [133,] 448.70 3.53 0.999216
## [134,] 448.18 3.55 1.070000
## [135,] 434.67 3.49 1.140000
## [136,] 432.29 3.47 1.120000
## [137,] 430.26 3.46 1.180000
## [138,] 365.07 2.97 1.220000
## [139,] 387.15 3.09 1.220000
## [140,] 381.73 3.02 1.330000
## [141,] 387.03 3.05 1.420000
## [142,] 379.74 3.01 1.360000
## [143,] 419.63 3.38 1.530000
## [144,] 409.75 3.23 1.550000
## [145,] 382.43 3.08 1.500000
## [146,] 388.10 3.11 1.900000
## [147,] 402.32 3.19 2.150000
## [148,] 392.00 3.13 2.530000
## [149,] 392.44 3.16 2.250000
## [150,] 395.15 3.29 2.410000
## [151,] 380.11 3.14 2.540000
## [152,] 378.86 3.12 2.510000
## [153,] 378.29 3.10 2.440000
## [154,] 369.35 3.07 2.320000
## [155,] 372.92 3.09 2.220000
## [156,] 374.65 3.09 2.430000
## [157,] 370.17 3.06 2.530000
## [158,] 388.90 3.17 2.570000
## [159,] 386.59 3.15 2.530000
## [160,] 376.51 3.11 2.540000
## [161,] 376.76 3.09 2.970000
## [162,] 373.42 3.08 3.170000
## [163,] 376.15 3.09 4.000000
## [164,] 382.11 3.11 4.500000
## [165,] 379.69 3.09 5.950000
## [166,] 384.64 3.12 5.690000
## [167,] 392.93 3.15 5.400000
## [168,] 407.57 3.23 5.330000
## [169,] 401.43 3.20 5.330000
## [170,] 407.66 3.23 4.290000
## [171,] 416.57 3.25 3.770000
## [172,] 422.73 3.26 4.380000
## [173,] 421.60 3.27 4.680000
## [174,] 437.77 3.46 4.360000
## [175,] 438.99 3.47 4.660000
## [176,] 438.26 3.49 5.680000
## [177,] 420.96 3.40 5.600000
## [178,] 425.04 3.39 6.190000
## [179,] 424.63 3.37 6.040000
## [180,] 432.84 3.43 5.960000
## [181,] 432.57 3.41 6.410000
## [182,] 433.44 3.44 6.460000
## [183,] 437.92 3.45 6.320000
## [184,] 435.13 3.43 7.630000
## [185,] 423.91 3.36 8.440000
## [186,] 421.84 3.32 9.240000
## [187,] 410.78 3.25 10.370000
## [188,] 400.52 3.19 11.200000
## [189,] 407.76 3.22 11.430000
## [190,] 414.46 3.27 9.580000
## [191,] 413.89 3.25 9.790000
## [192,] 414.74 3.28 11.880000
## [193,] 417.24 3.29 11.220000
## [194,] 421.61 3.39 11.130000
## [195,] 411.65 3.29 13.510000
## [196,] 414.20 3.31 14.510000
## [197,] 416.39 3.30 13.000000
## [198,] 416.89 3.31 13.020000
## [199,] 417.89 3.31 12.560000
## [200,] 420.55 3.31 11.110000
## [201,] 409.27 3.17 11.200000
## [202,] 410.40 3.18 10.520000
## [203,] 413.42 3.21 10.300000
## [204,] 413.13 3.20 11.880000
## [205,] 418.16 3.23 11.330000
## [206,] 418.42 3.25 12.440000
## [207,] 416.51 3.23 11.260000
## [208,] 417.36 3.23 10.770000
## [209,] 418.14 3.23 10.990000
## [210,] 426.55 3.30 10.430000
## [211,] 424.30 3.26 11.750000
## [212,] 416.83 3.23 11.610000
## [213,] 415.26 3.23 11.920000
## [214,] 416.76 3.25 11.400000
## [215,] 418.42 3.25 11.630000
## [216,] 421.17 3.26 11.630000
## [217,] 421.30 3.26 11.620000
## [218,] 421.02 3.25 11.210000
## [219,] 424.28 3.26 10.450000
## [220,] 423.62 3.26 10.700000
## [221,] 422.91 3.24 10.080000
## [222,] 420.81 3.22 9.690000
## [223,] 419.59 3.22 9.150000
## [224,] 421.87 3.23 8.940000
## [225,] 422.84 3.24 8.640000
## [226,] 425.63 3.26 7.440000
## [227,] 423.93 3.25 8.080000
## [228,] 424.43 3.24 8.390000
## [229,] 429.58 3.28 8.240000
## [230,] 430.64 3.28 8.620000
## [231,] 427.61 3.26 9.330000
## [232,] 428.70 3.25 9.080000
## [233,] 435.32 3.29 8.690000
## [234,] 441.42 3.28 8.450000
## [235,] 449.69 3.35 8.150000
## [236,] 445.86 3.32 7.790000
## [237,] 450.56 3.35 8.290000
## [238,] 459.12 3.62 8.010000
## [239,] 461.65 3.80 7.530000
## [240,] 466.26 4.05 7.390000
## [241,] 445.04 3.88 7.740000
## [242,] 449.41 3.79 7.210000
## [243,] 455.18 3.81 7.450000
## [244,] 448.48 3.66 8.780000
## [245,] 451.93 3.71 8.890000
## [246,] 444.73 3.68 10.170000
## [247,] 450.18 3.74 9.380000
## [248,] 446.71 3.74 9.400000
## [249,] 447.94 3.72 9.810000
## [250,] 459.64 3.82 9.320000
## [251,] 458.43 3.94 9.370000
## [252,] 458.21 3.94 9.490000
## [253,] 460.52 4.06 9.280000
## [254,] 450.86 3.82 9.430000
## [255,] 452.45 3.88 10.000000
## [256,] 454.85 3.86 10.060000
## [257,] 455.82 3.93 10.510000
## [258,] 455.76 4.01 10.240000
## [259,] 457.59 4.06 9.970000
## [260,] 454.01 4.00 11.190000
## [261,] 453.69 3.98 12.180000
## [262,] 454.52 4.00 13.540000
## [263,] 437.79 3.82 14.850000
## [264,] 442.97 3.88 13.690000
## [265,] 443.22 3.96 14.040000
## [266,] 439.35 3.92 14.280000
## [267,] 444.29 3.96 13.310000
## [268,] 446.06 3.95 12.790000
## [269,] 449.67 4.05 12.520000
## [270,] 453.52 4.09 12.390000
## [271,] 473.03 4.51 11.330000
## [272,] 527.48 4.69 12.110000
## [273,] 528.47 4.63 12.330000
## [274,] 534.19 4.69 12.740000
## [275,] 531.11 4.65 14.110000
## [276,] 536.52 4.74 13.990000
## [277,] 537.68 4.72 13.740000
## [278,] 569.71 4.86 13.860000
## [279,] 573.31 4.80 13.760000
## [280,] 574.60 4.81 14.000000
## [281,] 585.45 4.95 13.950000
## [282,] 577.17 4.77 14.510000
## [283,] 582.20 4.78 14.430000
## [284,] 575.84 4.75 14.380000
## [285,] 578.67 4.88 13.910000
## [286,] 609.68 5.07 14.190000
## [287,] 671.65 5.41 15.770000
## [288,] 704.50 5.31 17.610000
## [289,] 685.68 5.22 18.910000
## [290,] 696.52 5.25 18.360000
## [291,] 768.49 5.67 20.650000
## [292,] 748.76 5.60 15.380000
## [293,] 756.69 5.56 11.170000
## [294,] 763.93 5.63 12.240000
## [295,] 735.88 5.27 11.820000
## [296,] 665.91 4.83 13.200000
## [297,] 597.44 3.92 13.220000
## [298,] 625.58 3.85 13.680000
## [299,] 665.28 4.27 14.300000
## [300,] 665.93 4.24 14.260000
## [301,] 629.35 4.05 13.810000
## [302,] 658.10 4.14 13.930000
## [303,] 644.12 4.10 12.170000
## [304,] 640.59 4.08 12.600000
## [305,] 672.52 4.19 12.440000
## [306,] 676.73 4.28 12.220000
## [307,] 704.97 4.66 12.120000
## [308,] 658.80 4.27 11.700000
## [309,] 683.21 4.56 11.460000
## [310,] 670.42 4.46 10.580000
## [311,] 678.09 4.50 10.540000
## [312,] 640.69 4.12 10.120000
## [313,] 666.38 4.24 11.420000
## [314,] 650.60 4.12 10.960000
## [315,] 648.48 4.12 10.940000
## [316,] 648.28 4.09 10.450000
## [317,] 664.80 4.16 10.510000
## [318,] 652.92 4.14 10.600000
## [319,] 659.17 4.15 11.500000
## [320,] 663.78 4.15 11.920000
## [321,] 661.99 4.14 11.620000
## [322,] 679.81 4.20 11.170000
## [323,] 672.74 4.15 11.050000
## [324,] 672.81 4.15 11.590000
## [325,] 665.23 4.13 12.460000
## [326,] 664.92 4.13 12.660000
## [327,] 650.73 4.04 14.670000
## [328,] 655.41 4.06 14.300000
## [329,] 661.26 4.07 12.740000
## [330,] 654.23 4.04 13.820000
## [331,] 651.63 3.96 12.050000
## [332,] 654.49 3.97 12.980000
## [333,] 655.11 3.97 12.840000
## [334,] 657.01 4.08 12.800000
## [335,] 655.10 4.08 12.440000
## [336,] 624.60 4.06 11.890000
## [337,] 606.40 3.87 10.950000
## [338,] 548.66 3.64 8.880000
## [339,] 566.33 3.71 10.310000
## [340,] 578.28 3.74 11.020000
## [341,] 575.03 3.72 10.920000
## [342,] 587.77 3.76 10.860000
## [343,] 592.74 3.77 10.910000
## [344,] 591.04 3.78 11.270000
## [345,] 587.65 3.76 12.230000
## [346,] 592.12 3.72 12.140000
## [347,] 588.80 3.74 11.690000
## [348,] 587.36 3.71 11.770000
## [349,] 585.59 3.72 11.580000
## [350,] 570.49 3.65 11.200000
## [351,] 567.24 3.59 11.230000
## [352,] 577.76 3.65 11.130000
## [353,] 573.71 3.60 10.750000
## [354,] 574.34 3.61 10.750000
## [355,] 576.08 3.61 10.750000
## [356,] 581.94 3.62 11.250000
## [357,] 581.31 3.62 11.190000
## [358,] 586.77 3.66 11.140000
## [359,] 583.41 3.93 11.020000
## [360,] 580.18 3.86 11.030000
## [361,] 577.75 3.80 11.350000
## [362,] 579.45 3.82 11.290000
## [363,] 569.83 3.74 11.150000
## [364,] 574.07 3.74 10.920000
## [365,] 574.11 3.77 10.990000
## [366,] 577.59 3.81 11.240000
## [367,] 575.55 3.80 11.670000
## [368,] 572.41 3.84 11.960000
## [369,] 575.55 3.83 12.110000
## [370,] 598.59 3.89 11.750000
## [371,] 608.99 4.02 11.680000
## [372,] 606.51 3.98 11.730000
## [373,] 610.57 3.99 11.690000
## [374,] 614.64 3.97 11.550000
## [375,] 626.35 3.98 11.410000
## [376,] 622.93 3.97 11.660000
## [377,] 623.42 3.97 12.210000
## [378,] 607.01 3.87 11.640000
## [379,] 608.03 3.83 11.890000
## [380,] 608.84 3.82 11.900000
## [381,] 610.59 3.83 11.940000
## [382,] 607.25 3.82 11.960000
## [383,] 607.22 3.80 12.560000
## [384,] 606.28 3.81 12.690000
## [385,] 609.87 4.04 12.440000
## [386,] 609.25 3.83 13.210000
## [387,] 603.59 3.87 14.430000
## [388,] 597.28 3.86 13.660000
## [389,] 596.20 3.77 13.210000
## [390,] 602.96 3.81 13.320000
## [391,] 602.75 3.80 12.850000
## [392,] 600.81 3.80 13.170000
## [393,] 608.02 3.86 12.860000
## [394,] 606.24 3.85 13.110000
## [395,] 605.02 3.84 13.280000
## [396,] 605.72 3.84 13.080000
## [397,] 609.93 3.85 13.200000
## [398,] 613.95 3.85 13.180000
## [399,] 610.97 3.85 13.200000
## [400,] 612.05 3.84 13.450000
## [401,] 610.22 3.83 13.280000
## [402,] 612.47 3.85 13.030000
## [403,] 612.61 3.84 12.850000
## [404,] 617.34 3.86 12.670000
## [405,] 619.17 3.84 12.220000
## [406,] 616.82 3.82 12.060000
## [407,] 619.24 3.80 11.760000
## [408,] 640.87 3.82 11.780000
## [409,] 636.03 3.75 11.910000
## [410,] 637.01 3.91 11.990000
## [411,] 640.31 3.90 11.940000
## [412,] 639.08 3.88 11.980000
## [413,] 641.82 3.89 11.960000
## [414,] 639.41 3.95 12.000000
## [415,] 638.13 3.85 12.590000
## [416,] 630.66 3.81 12.050000
## [417,] 630.83 3.79 12.130000
## [418,] 633.14 3.81 12.180000
## [419,] 657.62 3.89 12.130000
## [420,] 657.16 3.92 12.040000
## [421,] 654.00 3.87 11.970000
## [422,] 657.68 3.91 11.380000
## [423,] 678.21 3.96 11.530000
## [424,] 688.00 4.04 11.470000
## [425,] 690.29 3.98 11.100000
## [426,] 714.12 4.10 10.430000
## [427,] 702.64 4.04 11.230000
## [428,] 701.34 4.00 10.960000
## [429,] 730.07 4.09 10.770000
## [430,] 742.35 4.11 10.800000
## [431,] 689.12 3.86 10.820000
## [432,] 703.53 3.88 11.090000
## [433,] 703.81 3.86 10.990000
## [434,] 710.74 3.89 10.900000
## [435,] 703.09 3.84 10.850000
## [436,] 709.83 3.85 10.820000
## [437,] 722.84 3.86 10.670000
## [438,] 715.55 3.84 10.510000
## [439,] 716.75 3.81 10.290000
## [440,] 705.20 3.77 9.890000
## [441,] 702.00 3.88 10.100000
## [442,] 705.79 3.89 9.970000
## [443,] 711.17 3.90 10.220000
## [444,] 744.88 4.06 10.060000
## [445,] 740.71 3.96 9.990000
## [446,] 751.83 3.98 9.480000
## [447,] 751.88 3.97 9.660000
## [448,] 731.27 3.93 9.580000
## [449,] 739.64 3.95 9.630000
## [450,] 751.74 3.97 9.920000
## [451,] 744.62 3.93 9.850000
## [452,] 740.44 3.91 9.230000
## [453,] 741.51 3.92 9.420000
## [454,] 735.44 3.91 9.310000
## [455,] 732.48 3.90 9.000000
## [456,] 736.33 3.89 8.730000
## [457,] 736.28 3.89 8.160000
## [458,] 746.05 3.91 8.600000
## [459,] 757.54 3.92 8.460000
## [460,] 778.25 3.95 7.770000
## [461,] 771.64 3.93 7.900000
## [462,] 773.39 3.88 7.410000
## [463,] 758.72 3.49 6.800000
## [464,] 764.21 3.54 7.890000
## [465,] 768.08 3.60 8.380000
## [466,] 769.94 3.69 8.170000
## [467,] 773.02 3.69 8.440000
## [468,] 774.75 3.69 8.130000
## [469,] 770.04 3.64 8.190000
## [470,] 780.65 3.67 8.520000
## [471,] 780.01 3.66 8.450000
## [472,] 780.07 3.61 8.240000
## [473,] 778.96 3.63 7.860000
## [474,] 785.17 3.63 7.860000
## [475,] 791.01 3.70 7.860000
## [476,] 790.69 3.68 7.870000
## [477,] 792.25 3.66 7.630000
## [478,] 800.64 3.66 7.660000
## [479,] 834.18 3.67 7.900000
## [480,] 864.89 3.72 7.580000
## [481,] 922.18 4.65 7.150000
## [482,] 899.65 4.56 7.260000
## [483,] 896.91 4.35 7.130000
## [484,] 908.35 4.37 7.280000
## [485,] 934.83 4.49 7.150000
## [486,] 975.13 4.58 7.540000
## [487,] 972.53 4.56 8.290000
## [488,] 960.63 4.39 8.150000
## [489,] 963.66 4.33 7.980000
## [490,] 998.62 4.52 8.170000
## [491,] 1021.60 4.66 8.370000
## [492,] 1044.40 4.63 9.710000
## [493,] 1156.73 4.91 11.290000
## [494,] 1014.24 4.30 10.290000
## [495,] 903.49 3.86 10.240000
## [496,] 908.17 3.96 9.870000
## [497,] 913.24 4.00 10.310000
## [498,] 902.44 4.30 10.370000
## [499,] 908.11 4.60 10.540000
## [500,] 775.18 3.84 9.720000
## [501,] 803.74 3.95 9.830000
## [502,] 825.14 3.89 9.790000
## [503,] 818.14 3.89 9.830000
## [504,] 821.78 3.92 9.880000
## [505,] 830.95 3.91 9.640000
## [506,] 909.37 3.94 10.300000
## [507,] 888.34 3.84 10.240000
## [508,] 898.17 3.86 10.390000
## [509,] 895.55 3.89 10.600000
## [510,] 922.21 3.90 10.910000
## [511,] 925.50 3.86 10.710000
## [512,] 910.68 3.84 10.730000
## [513,] 891.92 3.79 10.620000
## [514,] 902.40 3.71 10.570000
## [515,] 918.36 3.84 10.580000
## [516,] 919.81 3.85 10.540000
## [517,] 922.07 3.85 10.560000
## [518,] 920.15 3.86 10.490000
## [519,] 920.96 4.02 10.560000
## [520,] 970.94 4.08 10.740000
## [521,] 990.00 4.08 10.740000
## [522,] 1011.46 4.08 10.810000
## [523,] 1031.33 4.08 11.130000
## [524,] 1043.52 4.07 11.440000
## [525,] 1028.40 4.06 11.350000
## [526,] 1040.14 4.05 11.430000
## [527,] 1062.32 4.05 11.540000
## [528,] 1064.70 4.03 11.440000
## [529,] 995.63 3.80 11.050000
## [530,] 988.90 3.78 11.290000
## [531,] 1003.52 3.80 11.350000
## [532,] 998.89 3.77 11.380000
## [533,] 991.73 3.72 11.290000
## [534,] 1006.21 3.77 13.040000
## [535,] 1007.65 3.80 12.920000
## [536,] 1026.12 3.78 12.900000
## [537,] 1049.21 3.83 12.710000
## [538,] 1054.76 3.79 12.820000
## [539,] 1048.69 3.77 12.770000
## [540,] 1079.28 3.76 12.340000
## [541,] 1114.80 3.79 12.690000
## [542,] 1117.27 3.80 12.600000
## [543,] 1172.71 3.83 13.130000
## [544,] 1170.41 3.85 13.060000
## [545,] 1144.27 3.82 13.520000
## [546,] 1163.78 3.81 14.510000
## [547,] 1180.72 3.80 15.450000
## [548,] 1180.04 3.77 15.850000
## [549,] 1224.68 3.80 17.360000
## [550,] 1250.71 3.92 19.040000
## [551,] 1277.43 3.91 19.520000
## [552,] 1254.29 3.86 18.500000
## [553,] 1267.47 3.87 19.280000
## [554,] 1273.21 3.89 19.580000
## [555,] 1223.23 3.81 18.880000
## [556,] 1150.35 3.77 16.640000
## [557,] 1189.36 3.83 17.740000
## [558,] 1116.32 3.76 19.370000
## [559,] 1176.62 3.79 21.460000
## [560,] 1221.78 3.85 23.500000
## [561,] 1232.16 4.17 28.570000
## [562,] 1240.16 4.05 28.650000
## [563,] 1251.33 4.15 35.360000
## [564,] 1180.16 4.23 45.930000
## [565,] 1099.69 4.04 46.870000
## [566,] 976.73 3.96 35.530000
## [567,] 1037.24 3.95 44.830000
## [568,] 1055.36 4.04 43.510000
## [569,] 1120.65 3.99 43.120000
## [570,] 1050.05 3.93 42.570000
## [571,] 1038.45 3.97 43.640000
## [572,] 936.54 4.07 53.580000
## [573,] 974.02 4.07 50.770000
## [574,] 972.05 4.07 51.310000
## [575,] 1044.58 4.07 49.710000
## [576,] 1046.08 4.14 50.570000
## [577,] 1042.21 4.18 53.120000
## [578,] 1026.64 7.02 51.750000
## [579,] 1071.71 6.65 50.030000
## [580,] 1080.61 6.86 50.740000
## [581,] 1102.95 7.74 48.820000
## [582,] 1145.52 8.12 43.920000
## [583,] 1134.14 8.25 44.660000
## [584,] 1125.81 11.12 45.220000
## [585,] 1178.94 10.22 42.870000
## [586,] 1172.65 9.34 41.800000
## [587,] 1176.57 9.89 44.280000
## [588,] 1187.30 8.72 43.280000
## [589,] 1187.46 8.91 43.500000
## [590,] 1204.81 8.83 43.460000
## [591,] 1201.02 10.76 46.310000
## [592,] 1170.33 10.13 49.970000
## [593,] 1167.30 10.34 47.650000
## [594,] 1172.61 10.75 49.040000
## [595,] 1183.25 10.60 48.660000
## [596,] 1193.77 10.42 48.320000
## [597,] 1212.13 10.31 50.730000
## [598,] 1211.08 9.63 48.130000
## [599,] 1229.42 10.29 49.640000
## [600,] 1222.71 11.18 48.180000
## [601,] 1231.92 13.07 48.590000
## [602,] 1209.63 13.96 48.870000
## [603,] 1250.45 14.98 50.070000
## [604,] 1265.99 15.21 49.910000
## [605,] 1281.88 14.84 52.810000
## [606,] 1317.74 14.59 62.230000
## [607,] 1317.84 14.40 71.390000
## [608,] 1321.87 15.70 68.540000
## [609,] 1348.30 15.71 79.320000
## [610,] 1421.03 15.92 76.650000
## [611,] 1453.78 15.88 77.250000
## [612,] 1490.72 21.04 79.720000
## [613,] 1540.87 23.47 96.730000
## [614,] 1556.81 26.47 94.910000
## [615,] 1579.47 28.20 97.870000
## [616,] 1596.92 30.37 93.750000
## [617,] 1723.89 28.96 91.230000
## [618,] 1756.52 33.30 91.150000
## [619,] 1780.37 32.66 89.770000
## [620,] 1845.76 30.93 89.430000
## [621,] 1723.12 27.22 88.690000
## [622,] 1800.86 29.09 90.870000
## [623,] 1808.44 28.89 90.780000
## [624,] 1741.70 25.34 92.390000
## [625,] 1726.73 23.24 89.250000
## [626,] 1818.70 25.17 89.840000
## [627,] 1897.37 28.29 97.050000
## [628,] 1984.24 27.68 129.220000
## [629,] 2067.03 27.48 127.540000
## [630,] 2043.19 26.14 158.170000
## [631,] 2191.56 25.30 170.820000
## [632,] 2321.37 32.12 182.650000
## [633,] 2446.24 34.47 189.850000
## [634,] 2320.89 30.33 175.220000
## [635,] 2196.27 23.40 159.820000
## [636,] 2054.08 24.01 158.820000
## [637,] 2159.43 24.32 170.130000
## [638,] 2255.36 25.32 195.610000
## [639,] 2187.19 24.29 231.580000
## [640,] 2288.33 25.34 230.890000
## [641,] 2404.03 28.90 222.290000
## [642,] 2493.72 29.04 223.460000
## [643,] 2547.79 27.65 224.120000
## [644,] 2512.40 28.09 245.260000
## [645,] 2690.84 30.84 248.600000
## [646,] 2869.38 30.57 264.260000
## [647,] 2720.49 28.38 257.990000
## [648,] 2807.44 30.19 261.750000
## [649,] 2828.14 29.68 282.010000
## [650,] 2942.41 30.50 338.790000
## [651,] 2953.22 33.23 341.160000
## [652,] 2680.91 29.49 395.690000
## [653,] 2716.88 30.74 397.590000
## [654,] 2499.58 30.22 358.510000
## [655,] 2469.57 30.28 361.180000
## [656,] 2514.01 36.18 369.880000
## [657,] 2655.35 47.44 379.520000
## [658,] 2549.03 46.16 371.860000
## [659,] 2591.26 50.41 370.330000
## [660,] 2709.43 47.30 359.540000
## [661,] 2691.03 47.72 337.730000
## [662,] 2707.34 47.75 336.480000
## [663,] 2738.52 47.25 341.630000
## [664,] 2607.25 44.49 323.470000
## [665,] 2590.57 44.04 302.950000
## [666,] 2478.45 41.13 272.690000
## [667,] 2553.03 40.82 293.040000
## [668,] 2567.56 42.83 328.370000
## [669,] 2539.24 41.04 303.150000
## [670,] 2492.60 40.40 293.350000
## [671,] 2436.40 38.95 275.120000
## [672,] 2498.56 41.48 288.410000
## [673,] 2561.00 46.56 282.190000
## [674,] 2602.87 55.27 273.100000
## [675,] 2608.10 53.20 268.860000
## [676,] 2608.59 51.10 270.350000
## [677,] 2520.27 46.64 245.890000
## [678,] 2572.61 52.36 251.820000
## [679,] 2525.25 49.91 243.010000
## [680,] 2385.89 46.27 211.520000
## [681,] 2332.77 45.26 197.150000
## [682,] 2402.70 48.72 231.810000
## [683,] 2360.59 46.36 209.530000
## [684,] 2230.12 42.81 199.710000
## [685,] 1991.98 38.92 169.570000
## [686,] 1932.62 41.19 159.990000
## [687,] 2233.52 42.62 195.030000
## [688,] 2323.08 44.35 234.940000
## [689,] 2269.89 40.96 205.420000
## [690,] 2838.41 45.07 226.060000
## [691,] 2668.63 45.77 217.860000
## [692,] 2808.10 46.63 229.120000
## [693,] 2732.70 44.16 226.290000
## [694,] 2757.50 44.48 224.370000
## [695,] 2577.77 42.29 207.090000
## [696,] 2538.71 42.35 204.860000
## [697,] 2679.73 42.22 204.320000
## [698,] 2807.02 40.56 193.340000
## [699,] 2724.39 41.18 206.740000
## [700,] 2763.24 40.34 197.400000
## [701,] 2871.30 43.02 204.690000
## [702,] 2727.13 43.07 227.010000
## [703,] 2709.56 42.19 220.180000
## [704,] 2806.93 42.89 225.310000
## [705,] 2897.63 43.49 222.850000
## [706,] 3257.61 46.85 256.420000
## [707,] 3212.78 45.17 261.240000
## [708,] 3370.22 45.90 269.100000
## [709,] 3420.40 48.59 297.630000
## [710,] 3341.84 48.05 296.960000
## [711,] 3373.82 46.40 294.490000
## [712,] 3650.63 47.05 308.710000
## [713,] 3880.04 46.57 310.370000
## [714,] 4066.10 45.83 298.030000
## [715,] 4326.99 45.81 299.950000
## [716,] 4200.34 43.37 289.820000
## [717,] 4384.44 44.18 302.800000
## [718,] 4324.34 43.90 301.700000
## [719,] 4137.75 47.05 296.180000
## [720,] 4189.31 45.38 296.640000
## [721,] 4090.48 46.19 300.480000
## [722,] 3998.35 47.90 321.050000
## [723,] 4089.01 46.71 315.270000
## [724,] 4137.60 52.82 317.450000
## [725,] 4332.82 50.17 326.110000
## [726,] 4372.06 51.17 331.990000
## [727,] 4345.10 51.80 334.360000
## [728,] 4384.45 61.36 350.040000
## [729,] 4389.21 62.39 347.960000
## [730,] 4570.36 63.16 369.470000
## [731,] 4555.59 64.16 378.440000
## [732,] 4701.76 70.86 383.470000
## [733,] 4901.42 85.83 387.820000
## [734,] 4585.27 78.98 350.230000
## [735,] 4591.63 76.73 347.130000
## [736,] 4228.29 65.25 297.570000
## [737,] 4376.59 71.78 313.800000
## [738,] 4589.14 79.88 333.520000
## [739,] 4605.16 78.45 329.640000
## [740,] 4229.81 67.21 296.170000
## [741,] 4229.34 65.80 294.060000
## [742,] 4122.47 61.65 289.740000
## [743,] 4168.88 66.24 294.630000
## [744,] 4131.98 64.32 291.120000
## [745,] 3875.37 61.64 276.590000
## [746,] 3166.30 41.69 215.220000
## [747,] 3637.75 48.13 250.870000
## [748,] 3606.28 48.23 245.850000
## [749,] 3591.09 48.53 252.230000
## [750,] 4073.79 55.68 293.660000
## [751,] 3916.36 52.74 282.020000
## [752,] 3901.47 51.66 283.260000
## [753,] 3628.02 46.65 258.110000
## [754,] 3629.92 48.16 264.600000
## [755,] 3796.15 49.25 286.210000
## [756,] 3681.58 47.62 282.220000
## [757,] 3928.41 51.69 292.350000
## [758,] 3892.94 51.58 287.020000
## [759,] 4197.13 56.21 306.470000
## [760,] 4171.62 54.11 299.120000
## [761,] 4166.11 52.63 291.480000
## [762,] 4341.05 55.14 301.550000
## [763,] 4395.81 54.55 302.480000
## [764,] 4408.46 53.39 297.480000
## [765,] 4319.37 52.28 292.750000
## [766,] 4229.88 51.40 292.770000
## [767,] 4324.46 51.64 295.150000
## [768,] 4369.35 52.14 308.890000
## [769,] 4429.67 52.49 311.060000
## [770,] 4614.52 53.08 308.670000
## [771,] 4776.21 50.15 297.600000
## [772,] 4789.25 50.75 301.180000
## [773,] 4829.58 50.89 303.500000
## [774,] 5464.16 60.55 304.080000
## [775,] 5643.53 59.41 338.850000
## [776,] 5835.96 64.13 339.530000
## [777,] 5687.57 65.72 336.710000
## [778,] 5741.58 64.67 333.480000
## [779,] 5603.82 59.59 316.940000
## [780,] 5583.74 60.82 314.540000
## [781,] 5708.11 59.81 308.050000
## [782,] 5996.79 60.30 303.570000
## [783,] 6036.66 58.27 300.550000
## [784,] 6006.00 56.77 295.100000
## [785,] 5935.52 54.96 287.120000
## [786,] 5524.60 55.95 298.440000
## [787,] 5747.95 56.47 298.020000
## [788,] 5899.74 55.67 296.510000
## [789,] 5787.82 55.38 297.920000
## [790,] 5754.44 54.67 296.380000
## [791,] 6114.85 56.84 304.780000
## [792,] 6132.02 56.37 307.380000
## [793,] 6440.97 55.74 305.760000
## [794,] 6777.77 53.56 290.730000
## [795,] 7087.53 54.58 288.500000
## [796,] 7164.48 56.22 305.480000
## [797,] 7404.52 55.03 300.040000
## [798,] 7403.22 54.76 296.430000
## [799,] 7023.10 54.99 298.570000
## [800,] 7141.38 61.11 294.270000
## [801,] 7446.83 62.49 308.640000
## [802,] 7173.73 64.44 320.670000
## [803,] 6618.61 59.35 298.590000
## [804,] 6295.45 62.31 314.690000
## [805,] 5938.25 59.18 307.020000
## [806,] 6561.48 61.64 316.760000
## [807,] 6634.76 62.78 337.960000
## [808,] 7323.24 63.81 333.440000
## [809,] 7853.57 70.45 330.170000
## [810,] 7697.21 67.41 331.980000
## [811,] 7766.03 69.51 347.400000
## [812,] 8039.07 71.41 354.090000
## [813,] 8205.74 72.20 367.440000
## [814,] 8077.95 70.18 360.310000
## [815,] 8232.38 71.98 381.440000
## [816,] 8074.02 73.14 412.500000
## [817,] 8241.71 77.91 475.680000
## [818,] 8789.04 88.94 465.970000
## [819,] 9352.72 85.89 471.530000
## [820,] 9823.43 91.72 480.520000
## [821,] 10077.40 96.01 473.280000
## [822,] 9906.79 86.25 431.210000
## [823,] 10198.60 88.00 445.210000
## [824,] 10978.30 98.94 466.850000
## [825,] 11082.70 100.19 463.700000
## [826,] 11315.40 101.40 466.050000
## [827,] 11685.70 104.28 470.290000
## [828,] 11923.40 102.48 462.600000
## [829,] 14266.10 99.98 426.370000
## [830,] 17802.90 98.33 434.990000
## [831,] 16523.30 127.48 457.340000
## [832,] 15168.40 155.63 472.790000
## [833,] 15427.40 148.26 440.360000
## [834,] 16919.80 212.46 522.290000
## [835,] 17500.00 315.36 644.910000
## [836,] 16384.60 301.20 700.590000
## [837,] 16601.30 280.97 696.380000
## [838,] 17760.30 299.34 686.190000
## [839,] 19475.80 301.78 696.240000
## [840,] 19106.40 318.95 721.730000
## [841,] 19118.30 359.13 793.900000
## [842,] 17760.30 349.60 827.520000
## [843,] 16642.40 314.66 820.240000
## [844,] 15898.00 319.26 822.640000
## [845,] 13948.70 269.27 681.320000
## [846,] 14608.20 291.01 721.770000
## [847,] 13995.90 277.49 698.870000
## [848,] 14036.60 273.11 763.370000
## [849,] 16163.50 286.59 774.970000
## [850,] 15864.10 272.13 762.210000
## [851,] 14695.80 250.35 740.390000
## [852,] 14681.90 245.09 753.820000
## [853,] 12897.70 216.98 712.210000
## [854,] 14112.20 231.67 755.760000
## [855,] 13625.00 228.99 772.350000
## [856,] 14978.20 255.70 886.000000
## [857,] 15270.70 245.48 961.710000
## [858,] 15477.20 241.03 975.750000
## [859,] 17462.10 249.77 995.150000
## [860,] 17527.30 296.05 1043.010000
## [861,] 16476.20 287.73 1158.260000
## [862,] 15123.70 254.61 1146.000000
## [863,] 14588.50 248.07 1300.340000
## [864,] 14968.20 251.52 1268.090000
## [865,] 13453.90 229.79 1158.290000
## [866,] 13952.40 236.88 1270.470000
## [867,] 14370.80 260.58 1397.480000
## [868,] 13767.30 237.29 1365.210000
## [869,] 13836.10 232.82 1292.630000
## [870,] 11431.10 190.15 1061.340000
## [871,] 11198.80 186.95 1016.440000
## [872,] 11429.80 191.19 1028.820000
## [873,] 11656.20 194.38 1044.950000
## [874,] 12889.20 211.24 1155.680000
## [875,] 11633.10 191.79 1055.350000
## [876,] 10944.50 180.28 1004.170000
## [877,] 10903.40 178.43 987.480000
## [878,] 11421.70 181.56 1063.220000
## [879,] 11256.00 179.82 1052.700000
## [880,] 11174.90 176.66 1055.750000
## [881,] 11475.30 181.42 1111.780000
## [882,] 11755.50 193.75 1246.700000
## [883,] 11306.80 181.45 1184.130000
## [884,] 10108.20 165.30 1071.090000
## [885,] 10237.30 163.68 1119.370000
## [886,] 9142.28 142.56 1035.770000
## [887,] 8852.12 131.40 919.210000
## [888,] 9175.70 160.38 964.670000
## [889,] 8270.54 148.73 834.960000
## [890,] 7051.75 127.52 707.740000
## [891,] 7755.49 142.48 790.430000
## [892,] 7637.86 138.34 755.840000
## [893,] 8271.84 149.73 818.480000
## [894,] 8720.08 163.49 882.470000
## [895,] 8616.13 155.39 859.290000
## [896,] 8141.43 150.10 817.510000
## [897,] 8926.72 161.77 869.290000
## [898,] 8599.92 159.58 844.280000
## [899,] 9488.32 212.35 923.730000
## [900,] 10135.70 225.50 934.790000
## [901,] 10207.50 229.50 944.750000
## [902,] 11123.40 230.51 973.350000
## [903,] 10552.60 215.41 921.670000
## [904,] 11231.80 223.09 943.570000
## [905,] 11372.20 230.95 894.140000
## [906,] 10660.40 212.84 849.260000
## [907,] 9937.07 194.19 811.590000
## [908,] 10287.70 210.64 861.590000
## [909,] 9796.42 208.13 839.460000
## [910,] 9669.43 222.14 845.280000
## [911,] 10393.90 221.71 870.360000
## [912,] 10687.20 217.28 877.930000
## [913,] 10385.00 203.12 856.010000
## [914,] 10977.40 209.55 871.760000
## [915,] 11101.90 213.84 856.710000
## [916,] 11497.40 210.24 856.190000
## [917,] 11532.40 213.74 866.850000
## [918,] 11500.10 210.51 853.820000
## [919,] 10803.90 196.83 816.270000
## [920,] 9951.44 185.70 752.570000
## [921,] 9414.69 176.48 702.200000
## [922,] 9350.59 188.11 730.160000
## [923,] 8852.78 177.51 685.310000
## [924,] 9602.93 189.02 724.410000
## [925,] 9173.04 177.60 698.150000
## [926,] 9214.65 175.94 691.220000
## [927,] 8290.76 161.20 614.840000
## [928,] 8322.91 164.82 611.780000
## [929,] 8321.91 165.19 601.680000
## [930,] 7890.52 152.54 551.640000
## [931,] 8344.12 155.48 546.630000
## [932,] 8619.67 161.52 556.720000
## [933,] 8937.48 169.56 559.100000
## [934,] 8939.44 168.72 562.100000
## [935,] 8736.25 163.58 539.860000
## [936,] 8901.95 168.53 542.570000
## [937,] 8612.81 158.86 522.700000
## [938,] 8498.47 160.16 524.290000
## [939,] 8200.00 148.96 489.590000
## [940,] 7836.83 135.49 450.290000
## [941,] 7979.07 131.93 448.080000
## [942,] 7171.45 114.80 385.900000
## [943,] 6892.48 118.64 395.000000
## [944,] 7003.06 116.90 397.250000
## [945,] 6844.86 115.24 379.700000
## [946,] 7102.26 119.51 387.310000
## [947,] 7456.41 133.91 416.480000
## [948,] 6848.65 118.21 379.950000
## [949,] 6815.96 118.82 382.730000
## [950,] 6630.51 113.14 370.380000
## [951,] 6919.98 116.29 385.740000
## [952,] 7044.32 117.78 400.860000
## [953,] 6795.44 115.21 399.410000
## [954,] 6843.47 114.29 415.020000
## [955,] 6955.38 118.29 430.160000
## [956,] 7901.09 129.27 493.160000
## [957,] 7874.67 125.22 492.580000
## [958,] 7999.33 126.67 502.880000
## [959,] 8337.57 131.97 532.070000
## [960,] 8071.66 128.71 511.140000
## [961,] 7944.43 132.38 503.310000
## [962,] 8159.27 140.04 524.040000
## [963,] 8286.88 146.50 567.990000
## [964,] 8848.79 155.68 616.000000
## [965,] 8925.06 148.61 606.120000
## [966,] 8794.39 146.67 621.200000
## [967,] 8934.34 152.57 643.400000
## [968,] 9701.03 165.09 707.060000
## [969,] 8867.32 144.70 618.080000
## [970,] 9290.63 153.44 662.110000
## [971,] 8939.27 145.74 644.650000
## [972,] 9346.41 152.16 683.910000
## [973,] 9426.11 153.65 689.760000
## [974,] 9251.47 148.34 670.460000
## [975,] 9104.60 148.45 674.080000
## [976,] 9233.97 151.86 686.590000
## [977,] 9695.50 160.47 776.780000
## [978,] 9700.28 168.35 784.580000
## [979,] 9845.31 178.02 816.090000
## [980,] 9645.67 171.76 793.340000
## [981,] 9380.87 164.83 755.010000
## [982,] 9223.73 159.62 752.900000
## [983,] 9325.96 157.15 752.580000
## [984,] 9052.96 149.45 727.010000
## [985,] 8441.44 137.26 679.880000
## [986,] 8515.49 141.80 687.170000
## [987,] 8713.10 144.62 732.730000
## [988,] 8705.19 147.49 731.140000
## [989,] 8504.41 139.65 708.090000
## [990,] 8370.05 139.56 708.720000
## [991,] 8091.83 132.70 672.100000
## [992,] 8255.73 135.96 695.070000
## [993,] 8246.99 135.27 697.920000
## [994,] 8522.33 139.64 717.190000
## [995,] 8419.87 134.26 700.180000
## [996,] 8037.08 128.81 646.670000
## [997,] 7561.12 119.19 584.540000
## [998,] 7592.30 122.56 602.140000
## [999,] 7486.48 119.35 587.430000
## [1000,] 7362.08 118.50 588.520000
## [1001,] 7371.31 117.93 573.040000
## [1002,] 7129.46 111.84 516.150000
## [1003,] 7469.73 119.54 566.830000
## [1004,] 7406.15 117.32 558.500000
## [1005,] 7500.70 118.03 578.670000
## [1006,] 7536.72 119.83 580.430000
## [1007,] 7632.09 123.29 591.260000
## [1008,] 7722.53 125.21 619.440000
## [1009,] 7500.90 119.90 593.410000
## [1010,] 7625.97 121.89 610.260000
## [1011,] 7650.82 121.34 607.690000
## [1012,] 7685.14 121.52 605.440000
## [1013,] 7632.52 120.11 600.910000
## [1014,] 7499.55 117.56 594.340000
## [1015,] 6799.29 106.54 524.860000
## [1016,] 6905.82 107.43 532.710000
## [1017,] 6596.88 100.80 498.020000
## [1018,] 6342.75 93.99 478.380000
## [1019,] 6674.08 101.11 520.480000
## [1020,] 6455.45 96.58 490.410000
## [1021,] 6545.53 97.72 499.460000
## [1022,] 6510.07 95.77 499.380000
## [1023,] 6742.39 98.73 519.020000
## [1024,] 6770.76 98.96 538.510000
## [1025,] 6780.09 97.88 536.450000
## [1026,] 6737.88 96.94 527.190000
## [1027,] 6090.10 85.09 466.270000
## [1028,] 6164.28 82.74 474.770000
## [1029,] 6171.97 80.37 455.940000
## [1030,] 6253.55 81.82 460.730000
## [1031,] 6084.40 76.93 432.240000
## [1032,] 6153.16 80.63 442.290000
## [1033,] 5898.13 74.81 422.590000
## [1034,] 6214.22 78.95 436.210000
## [1035,] 6411.68 81.50 455.240000
## [1036,] 6380.38 80.27 453.820000
## [1037,] 6596.66 85.39 475.390000
## [1038,] 6550.87 85.17 464.150000
## [1039,] 6599.71 85.65 467.290000
## [1040,] 6638.69 83.84 474.360000
## [1041,] 6668.71 83.40 474.060000
## [1042,] 6857.80 86.26 492.070000
## [1043,] 6775.08 82.54 488.880000
## [1044,] 6739.21 80.78 476.160000
## [1045,] 6330.77 76.13 434.520000
## [1046,] 6396.78 78.59 446.500000
## [1047,] 6235.03 77.29 430.740000
## [1048,] 6247.50 76.97 434.510000
## [1049,] 6272.70 76.70 435.880000
## [1050,] 6357.01 78.96 450.420000
## [1051,] 6739.65 84.30 480.080000
## [1052,] 7315.32 89.82 500.840000
## [1053,] 7378.20 86.90 480.630000
## [1054,] 7467.40 86.68 469.310000
## [1055,] 7352.72 82.66 450.680000
## [1056,] 7417.80 84.26 462.440000
## [1057,] 7414.71 83.23 459.440000
## [1058,] 7716.51 82.68 451.140000
## [1059,] 8379.66 88.66 479.910000
## [1060,] 8176.85 86.28 472.330000
## [1061,] 7950.40 83.73 464.010000
## [1062,] 8169.06 84.54 469.680000
## [1063,] 8205.82 84.05 466.920000
## [1064,] 8221.58 84.15 466.830000
## [1065,] 8181.20 82.69 457.250000
## [1066,] 7769.04 80.39 433.870000
## [1067,] 7634.19 77.71 420.810000
## [1068,] 7562.14 76.30 412.570000
## [1069,] 7438.67 77.42 418.240000
## [1070,] 7031.08 73.38 407.350000
## [1071,] 7062.94 75.06 410.570000
## [1072,] 6958.32 74.00 406.800000
## [1073,] 6746.85 68.16 379.890000
## [1074,] 6305.56 62.47 356.970000
## [1075,] 6571.42 63.98 365.780000
## [1076,] 6185.79 59.49 334.260000
## [1077,] 6283.65 58.22 320.820000
## [1078,] 6341.36 59.48 320.210000
## [1079,] 6287.66 57.00 286.370000
## [1080,] 6221.42 54.68 280.390000
## [1081,] 6294.23 54.54 282.740000
## [1082,] 6340.91 55.33 287.680000
## [1083,] 6583.43 61.56 316.790000
## [1084,] 6422.57 57.22 295.670000
## [1085,] 6500.51 57.91 301.380000
## [1086,] 6301.07 53.77 273.330000
## [1087,] 6486.25 56.66 281.970000
## [1088,] 6371.34 55.19 271.750000
## [1089,] 6551.52 57.60 278.110000
## [1090,] 6719.95 57.92 283.280000
## [1091,] 6754.64 58.05 279.520000
## [1092,] 6710.80 57.26 275.350000
## [1093,] 6891.08 60.23 286.650000
## [1094,] 7091.71 63.03 296.160000
## [1095,] 7043.76 61.77 289.750000
## [1096,] 6973.97 60.42 284.120000
## [1097,] 7044.81 61.74 283.500000
## [1098,] 7189.58 65.98 295.450000
## [1099,] 7279.03 65.82 295.180000
## [1100,] 7263.00 65.32 289.300000
## [1101,] 7361.46 67.67 286.050000
## [1102,] 6755.14 58.32 231.650000
## [1103,] 6528.92 57.34 229.530000
## [1104,] 6460.17 56.13 217.910000
## [1105,] 6223.38 53.27 198.380000
## [1106,] 6301.57 54.99 197.850000
## [1107,] 6331.88 54.61 198.180000
## [1108,] 6317.01 52.39 185.420000
## [1109,] 6354.24 51.88 183.680000
## [1110,] 6515.41 54.65 212.670000
## [1111,] 6509.40 56.34 209.810000
## [1112,] 6536.68 56.58 222.800000
## [1113,] 6514.06 57.02 221.580000
## [1114,] 6280.91 52.29 197.090000
## [1115,] 6371.85 54.02 209.470000
## [1116,] 6398.85 54.37 210.290000
## [1117,] 6513.87 56.78 225.250000
## [1118,] 6735.05 60.81 247.340000
## [1119,] 6715.32 60.55 240.990000
## [1120,] 6704.77 61.34 244.840000
## [1121,] 6603.64 58.02 228.330000
## [1122,] 6452.79 57.45 218.650000
## [1123,] 6495.29 57.45 215.440000
## [1124,] 6678.75 63.17 229.040000
## [1125,] 6643.10 61.64 221.710000
## [1126,] 6604.71 61.63 231.330000
## [1127,] 6619.85 61.10 233.220000
## [1128,] 6593.24 60.30 231.100000
## [1129,] 6553.86 59.58 226.410000
## [1130,] 6497.91 57.52 220.450000
## [1131,] 6574.15 58.33 222.270000
## [1132,] 6622.45 58.88 227.550000
## [1133,] 6590.68 57.93 225.440000
## [1134,] 6600.19 58.23 226.510000
## [1135,] 6653.08 59.45 229.710000
## [1136,] 6640.29 58.66 227.620000
## [1137,] 6586.74 57.98 225.610000
## [1138,] 6239.25 50.87 188.710000
## [1139,] 6278.08 53.46 196.360000
## [1140,] 6288.49 53.51 199.690000
## [1141,] 6292.64 52.17 195.270000
## [1142,] 6601.41 54.97 209.630000
## [1143,] 6590.52 54.26 210.220000
## [1144,] 6542.33 53.72 207.400000
## [1145,] 6478.07 52.55 203.260000
## [1146,] 6460.92 53.07 203.510000
## [1147,] 6490.09 53.43 205.390000
## [1148,] 6486.05 52.78 205.170000
## [1149,] 6472.36 52.24 204.020000
## [1150,] 6478.89 52.46 204.130000
## [1151,] 6484.65 52.49 203.870000
## [1152,] 6468.44 52.22 202.340000
## [1153,] 6480.84 52.13 203.360000
## [1154,] 6482.66 52.05 204.510000
## [1155,] 6492.35 51.83 205.170000
## [1156,] 6337.04 49.00 197.200000
## [1157,] 6336.99 49.34 197.650000
## [1158,] 6318.14 49.56 197.540000
## [1159,] 6378.92 50.34 198.980000
## [1160,] 6387.24 51.30 200.740000
## [1161,] 6365.47 50.99 200.160000
## [1162,] 6363.62 53.59 207.100000
## [1163,] 6433.38 53.70 209.470000
## [1164,] 6468.50 56.04 218.900000
## [1165,] 6522.27 54.19 217.330000
## [1166,] 6442.60 52.36 211.990000
## [1167,] 6386.13 51.93 209.970000
## [1168,] 6413.63 52.32 212.480000
## [1169,] 6411.76 51.48 211.510000
## [1170,] 6373.19 50.63 210.150000
## [1171,] 6351.24 49.58 206.530000
## [1172,] 5736.15 43.73 181.900000
## [1173,] 5645.32 43.96 180.870000
## [1174,] 5578.58 42.49 175.360000
## [1175,] 5559.74 42.09 174.180000
## [1176,] 5620.78 42.34 177.180000
## [1177,] 4863.93 36.57 148.810000
## [1178,] 4465.54 33.07 131.140000
## [1179,] 4611.57 34.69 136.810000
## [1180,] 4360.70 32.02 126.420000
## [1181,] 4347.69 32.26 123.300000
## [1182,] 3880.78 29.23 113.130000
## [1183,] 4015.07 30.87 116.340000
## [1184,] 3765.95 29.41 107.910000
## [1185,] 3822.47 31.12 110.200000
## [1186,] 4269.00 34.72 122.720000
## [1187,] 4289.09 33.80 117.730000
## [1188,] 4024.46 32.13 113.400000
## [1189,] 4200.73 34.26 118.270000
## [1190,] 4147.32 33.81 116.380000
## [1191,] 3886.29 31.01 108.800000
## [1192,] 3958.89 31.22 110.340000
## [1193,] 3754.07 29.25 102.450000
## [1194,] 3512.59 26.91 91.650000
## [1195,] 3421.91 25.13 93.410000
## [1196,] 3473.23 24.80 92.040000
## [1197,] 3612.05 25.91 94.990000
## [1198,] 3497.55 24.60 91.580000
## [1199,] 3421.46 23.80 88.610000
## [1200,] 3487.88 24.53 90.660000
## [1201,] 3311.75 23.65 86.630000
## [1202,] 3244.00 23.46 84.280000
## [1203,] 3236.27 23.79 84.470000
## [1204,] 3253.12 25.68 85.380000
## [1205,] 3544.76 29.27 95.110000
## [1206,] 3706.82 30.33 101.680000
## [1207,] 3742.20 29.60 101.090000
## [1208,] 4133.70 32.73 115.840000
## [1209,] 3898.08 30.83 109.460000
## [1210,] 4020.99 31.99 117.270000
## [1211,] 4000.33 33.47 130.640000
## [1212,] 4081.03 33.40 141.000000
## [1213,] 3819.67 31.09 129.890000
## [1214,] 3854.69 30.96 131.920000
## [1215,] 3653.13 28.30 116.900000
## [1216,] 3932.49 32.56 138.470000
## [1217,] 3822.38 31.42 137.630000
## [1218,] 3866.84 31.98 140.030000
## [1219,] 3746.71 30.46 133.420000
## [1220,] 3849.22 32.02 141.520000
## [1221,] 3931.05 33.35 155.200000
## [1222,] 3832.04 32.02 148.910000
## [1223,] 3851.97 32.35 154.340000
## [1224,] 3836.52 34.85 155.800000
## [1225,] 4078.59 39.28 157.810000
## [1226,] 4028.47 37.92 151.970000
## [1227,] 4031.55 39.45 150.550000
## [1228,] 4034.41 38.99 150.840000
## [1229,] 3674.02 33.68 127.810000
## [1230,] 3686.97 32.46 127.530000
## [1231,] 3658.87 32.40 125.910000
## [1232,] 3557.31 30.38 116.980000
## [1233,] 3704.22 32.38 129.170000
## [1234,] 3631.51 31.44 121.810000
## [1235,] 3651.87 31.85 123.570000
## [1236,] 230.26 2.85 123.650000
## [1237,] 228.03 2.82 121.610000
## [1238,] 229.32 2.80 124.630000
## [1239,] 227.21 2.64 119.640000#21) Check the names of the colums and the format of each of the variable
str(PriceCoins)## num [1:1239, 1:3] 230 228 229 227 230 ...
## - attr(*, "dimnames")=List of 2
## ..$ : NULL
## ..$ : chr [1:3] "BTCPrice" "LTCPrice" "ETHPrice"#22) by using the package zoo create an element of class "zoo"
# labled PriceCoinsZoo, and includes Prices of all three Coints:
# BTCPrice", "LTCPrice", and "ETHPrice"
library(zoo)##
## Attaching package: 'zoo'## The following object is masked from 'package:timeSeries':
##
## time<-## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numericPriceCoinsZoo<- as.zoo(PriceCoins)[,c("ETHPrice","LTCPrice","BTCPrice")]
str(PriceCoinsZoo)## 'zoo' series from 1 to 1239
## Data: num [1:1239, 1:3] 1.35 1.35 1.3 1.26 1.28 1.34 1.3 1.25 1.24 1.21 ...
## - attr(*, "dimnames")=List of 2
## ..$ : NULL
## ..$ : chr [1:3] "ETHPrice" "LTCPrice" "BTCPrice"
## Index: int [1:1239] 1 2 3 4 5 6 7 8 9 10 ...#23) Plot a time series graph of prices of all three coins
plot(PriceCoinsZoo)
#24) Create a variable that calculates daily returns
# (first difference of natural logs) on different coins.
# Call the variable ReturnCoins by using diff(log()) function
ReturnCoins<-diff(log(PriceCoinsZoo)) *100#25) Plot a time series graph of returns of all three coins
plot(ReturnCoins)
#26) Plot cross covariance functions between returns and between
# absolute returns of a) BTC and LTC, BTC and ETC, and ETC and LTC.
# You should have 6 graphs.
par(mfrow=c(3,2),mar=c(1, 2, 1, 1), oma=c(0, 0, 0, 0), mgp=c(2.4, 0.8, 0), las=1)
ccf(ReturnCoins[,3], ReturnCoins[,2])
ccf(ReturnCoins[,3], ReturnCoins[,1])
ccf(ReturnCoins[,1], ReturnCoins[,2])
ccf(ReturnCoins[,1], ReturnCoins[,3])
ccf(ReturnCoins[,2], ReturnCoins[,1])
ccf(ReturnCoins[,2], ReturnCoins[,3])
#27) Generate plots of rolling correlations between
# BTC<C, BTCÐ, and ETH<C
rollc <- function(x){ dim <- ncol(x)
rcor <- cor(x)[lower.tri(diag(dim), diag = FALSE)]
return(rcor)}
rcor <- rollapply(ReturnCoins, width = 500, rollc, align = "right", by.column = FALSE)
colnames(rcor) <- c("B vs L", "B vs E", "L vs E")
plot(rcor, main = "", xlab = "")
# Part III
# 28-30) Export all graphs to a word document and briefly analyze
# whether data on cryptocurrency returns resembles the
# "stylized facts" of the financial data