library(tibble)
library(httr)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(xts)
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
##
## ######################### Warning from 'xts' package ##########################
## # #
## # The dplyr lag() function breaks how base R's lag() function is supposed to #
## # work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or #
## # source() into this session won't work correctly. #
## # #
## # Use stats::lag() to make sure you're not using dplyr::lag(), or you can add #
## # conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop #
## # dplyr from breaking base R's lag() function. #
## # #
## # Code in packages is not affected. It's protected by R's namespace mechanism #
## # Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning. #
## # #
## ###############################################################################
##
## Attaching package: 'xts'
## The following objects are masked from 'package:dplyr':
##
## first, last
library(xml2)
library(rvest)
library(quantmod)
## Loading required package: TTR
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo
library(tidyquant)
## Loading required package: lubridate
##
## Attaching package: 'lubridate'
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
## Loading required package: PerformanceAnalytics
##
## Attaching package: 'PerformanceAnalytics'
## The following object is masked from 'package:graphics':
##
## legend
library(kableExtra)
##
## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
##
## group_rows
library(ggplot2)
library(tseries)
library(moments)
##
## Attaching package: 'moments'
## The following objects are masked from 'package:PerformanceAnalytics':
##
## kurtosis, skewness
library(AdequacyModel)
library(rugarch)
## Loading required package: parallel
##
## Attaching package: 'rugarch'
## The following object is masked from 'package:stats':
##
## sigma
library(lmtest)
library(car)
## Loading required package: carData
##
## Attaching package: 'car'
## The following object is masked from 'package:dplyr':
##
## recode
library(forecast)
library(gridExtra)
##
## Attaching package: 'gridExtra'
## The following object is masked from 'package:dplyr':
##
## combine
library(GAS)
##
## Attaching package: 'GAS'
## The following objects are masked from 'package:rugarch':
##
## convergence, pit, residuals
## The following object is masked from 'package:PerformanceAnalytics':
##
## ES
## The following object is masked from 'package:stats':
##
## residuals
library(knitr)
library(fGarch)
## NOTE: Packages 'fBasics', 'timeDate', and 'timeSeries' are no longer
## attached to the search() path when 'fGarch' is attached.
##
## If needed attach them yourself in your R script by e.g.,
## require("timeSeries")
##
## Attaching package: 'fGarch'
## The following object is masked from 'package:TTR':
##
## volatility
library(purrr)
##
## Attaching package: 'purrr'
## The following object is masked from 'package:car':
##
## some
## The following object is masked from 'package:rugarch':
##
## reduce
library(quarks)
## ********************************************************************************
## Welcome to the package 'quarks'!
## ********************************************************************************
##
## Please report any possible errors and bugs to sebastian.letmathe@uni-paderborn.de.
## Thank you.
##
## ********************************************************************************
#set data
VN30_Index<- read.csv("D:/Jupyter/Untitled Folder/new_d.csv")
VN30_Index <- VN30_Index %>%
mutate(symbol = "^VN30")
VN30_Index$date <- as.Date(VN30_Index$date)
VN30_Index
## date Open_price Highest_price Lowest_price Closed_price Volumne
## 1 2014-03-01 561.35 563.61 560.98 562.80 14100180
## 2 2014-06-01 563.89 566.30 561.12 566.30 18331190
## 3 2014-07-01 567.26 571.13 567.26 568.15 23900750
## 4 2014-08-01 568.20 573.64 566.61 573.11 25130860
## 5 2014-09-01 572.02 577.19 572.02 577.19 27344310
## 6 2014-10-01 577.75 581.07 576.16 576.16 29088480
## 7 2014-01-13 576.52 579.00 575.73 576.61 25172720
## 8 2014-01-14 576.81 582.97 575.80 580.59 28446290
## 9 2014-01-15 582.10 585.32 580.16 583.07 33365520
## 10 2014-01-16 584.94 589.46 582.62 589.46 30774460
## 11 2014-01-17 594.37 612.23 594.37 605.50 53957380
## 12 2014-01-20 607.09 627.53 607.09 620.69 39268420
## 13 2014-01-21 624.61 634.08 614.50 634.08 36429820
## 14 2014-01-22 634.36 640.05 625.70 626.04 42823640
## 15 2014-01-23 624.08 630.31 621.85 626.62 27034610
## 16 2014-01-24 628.28 628.38 623.72 627.91 30854780
## 17 2014-01-27 625.63 624.75 622.79 624.70 28151380
## 18 2014-06-02 623.08 629.39 619.05 626.31 33663570
## 19 2014-07-02 629.98 632.24 621.97 622.82 42171850
## 20 2014-10-02 622.93 631.42 622.46 631.42 38713460
## 21 2014-11-02 634.90 637.26 627.40 627.40 64469890
## 22 2014-12-02 629.72 637.79 627.33 637.79 45512210
## 23 2014-02-13 640.18 643.65 637.29 641.73 58958030
## 24 2014-02-14 641.81 645.94 639.57 641.41 49178150
## 25 2014-02-17 638.47 642.72 635.28 638.80 58494940
## 26 2014-02-18 640.04 645.60 638.32 645.60 53194670
## 27 2014-02-19 648.91 650.57 645.44 650.43 47881520
## 28 2014-02-20 650.47 654.31 631.73 638.70 86195360
## 29 2014-02-21 637.93 643.63 630.10 639.37 42449860
## 30 2014-02-24 641.39 648.49 638.10 648.49 40009140
## 31 2014-02-25 645.99 661.53 645.99 661.53 51004400
## 32 2014-02-26 668.59 669.62 659.74 667.91 58443040
## 33 2014-02-27 666.72 677.66 662.74 662.74 86911250
## 34 2014-02-28 664.16 668.42 657.21 663.81 44823680
## 35 2014-03-03 663.17 663.48 643.95 643.95 52083000
## 36 2014-04-03 636.93 641.89 631.93 638.79 46916670
## 37 2014-05-03 646.23 647.85 642.66 645.76 32131560
## 38 2014-06-03 646.39 650.74 645.30 648.62 39900940
## 39 2014-07-03 650.93 654.20 650.09 651.46 47091320
## 40 2014-10-03 652.54 656.87 651.78 655.80 48392100
## 41 2014-11-03 656.93 662.85 653.70 661.61 49249130
## 42 2014-12-03 665.92 672.15 663.84 663.84 53068600
## 43 2014-03-13 664.10 669.21 661.95 669.21 48198320
## 44 2014-03-14 669.70 673.91 665.77 668.39 50691700
## 45 2014-03-17 672.54 673.80 669.54 672.15 51378200
## 46 2014-03-18 671.87 677.52 669.66 673.68 72169060
## 47 2014-03-19 673.56 681.94 673.53 681.94 65272940
## 48 2014-03-20 683.11 684.80 674.97 676.08 63084240
## 49 2014-03-21 676.93 688.70 676.43 679.98 111573070
## 50 2014-03-24 688.29 690.57 683.95 689.32 63011020
## 51 2014-03-25 689.22 692.83 682.75 682.75 80417100
## 52 2014-03-26 684.60 685.25 663.77 664.87 82709270
## 53 2014-03-27 665.72 670.34 658.32 669.89 50558830
## 54 2014-03-28 672.57 677.71 670.94 676.31 39879930
## 55 2014-03-31 677.70 678.81 670.43 670.43 41071220
## 56 2014-01-04 669.93 672.23 657.86 660.13 65610630
## 57 2014-02-04 661.05 663.53 649.14 658.01 49385600
## 58 2014-03-04 661.44 667.42 659.39 664.88 32488910
## 59 2014-04-04 665.33 667.34 662.50 667.33 33886000
## 60 2014-07-04 669.30 674.70 669.30 672.97 39996800
## 61 2014-08-04 673.20 675.44 670.82 672.06 37142140
## 62 2014-10-04 674.68 677.09 667.57 670.06 42557820
## 63 2014-11-04 665.35 668.29 662.13 665.85 42619060
## 64 2014-04-14 668.96 668.96 661.12 661.12 33809260
## 65 2014-04-15 660.76 663.36 647.74 647.74 48888480
## 66 2014-04-16 644.19 646.21 626.26 634.76 56151560
## 67 2014-04-17 640.62 645.41 636.57 642.48 33947010
## 68 2014-04-18 642.08 642.08 621.13 621.13 39104100
## 69 2014-04-21 619.86 625.25 613.67 613.67 31622140
## 70 2014-04-22 615.05 630.88 612.23 630.88 30628680
## 71 2014-04-23 630.50 636.57 626.62 629.78 22604040
## 72 2014-04-24 629.72 631.77 626.94 629.16 15889010
## 73 2014-04-25 629.65 637.46 629.65 636.35 23944860
## 74 2014-04-28 636.49 638.27 628.90 628.90 20410690
## 75 2014-04-29 626.58 633.01 626.58 632.10 14988010
## 76 2014-05-05 631.64 631.95 613.75 614.36 28435010
## 77 2014-06-05 613.38 613.38 593.85 605.20 37736360
## 78 2014-07-05 606.87 612.49 603.00 609.51 17091760
## 79 2014-08-05 598.77 598.77 572.28 575.31 68704590
## 80 2014-09-05 568.97 588.54 568.97 587.91 36957570
## 81 2014-12-05 578.81 578.81 556.45 563.30 39840660
## 82 2014-05-13 552.56 564.50 552.56 560.11 36767860
## 83 2014-05-14 556.94 581.83 556.84 581.83 38135060
## 84 2014-05-15 581.20 589.78 562.23 575.53 44625350
## 85 2014-05-16 573.63 582.69 569.91 581.93 33268160
## 86 2014-05-19 582.54 590.50 577.93 589.31 31019430
## 87 2014-05-20 586.35 590.61 581.61 590.27 29140380
## 88 2014-05-21 590.69 597.78 585.10 596.82 35247680
## 89 2014-05-22 595.27 600.15 592.75 592.75 33891610
## 90 2014-05-23 593.68 597.43 591.77 594.35 21609930
## 91 2014-05-26 594.04 597.80 588.05 596.24 18601670
## 92 2014-05-27 596.01 606.02 595.38 605.87 37759520
## 93 2014-05-28 608.25 615.46 608.25 614.88 34817290
## 94 2014-05-29 614.21 622.35 611.75 615.01 36570990
## 95 2014-05-30 614.32 619.25 612.78 618.00 27221540
## 96 2014-02-06 614.74 617.68 607.91 610.99 24074770
## 97 2014-03-06 611.11 614.82 608.28 612.49 15235180
## 98 2014-04-06 612.97 613.38 601.06 603.83 21146320
## 99 2014-05-06 601.64 604.76 597.70 601.60 13606760
## 100 2014-06-06 603.72 608.48 602.19 608.48 17255870
## 101 2014-09-06 609.20 615.47 606.30 610.92 36322040
## 102 2014-10-06 609.97 612.27 608.59 608.59 24570050
## 103 2014-11-06 609.36 615.52 609.20 615.52 25085860
## 104 2014-12-06 615.99 617.66 612.09 616.11 28908250
## 105 2014-06-13 616.24 620.84 614.61 617.73 20909670
## 106 2014-06-16 619.98 620.86 618.07 618.62 25272100
## 107 2014-06-17 617.56 622.73 616.65 620.61 31519920
## 108 2014-06-18 619.71 622.69 618.61 618.61 24594990
## 109 2014-06-19 612.72 617.03 606.96 613.82 35572230
## 110 2014-06-20 616.09 619.32 607.23 607.23 68329800
## 111 2014-06-23 609.03 613.06 609.03 609.99 16574160
## 112 2014-06-24 609.75 613.75 608.67 612.54 15362710
## 113 2014-06-25 612.63 619.02 612.63 618.10 37148500
## 114 2014-06-26 618.10 622.37 616.40 619.91 33731540
## 115 2014-06-27 619.51 621.23 616.85 616.85 18329110
## 116 2014-06-30 617.01 619.03 615.06 615.06 18764700
## 117 2014-01-07 615.87 621.10 615.43 617.96 27736880
## 118 2014-02-07 618.77 622.41 617.69 620.20 33935070
## 119 2014-03-07 621.91 627.17 621.91 627.17 42165050
## 120 2014-04-07 628.06 633.22 628.06 631.02 35243130
## 121 2014-07-07 635.49 639.55 634.62 636.75 35622750
## 122 2014-08-07 637.74 638.91 632.25 636.21 31667930
## 123 2014-09-07 636.26 638.15 635.14 636.64 27127790
## 124 2014-10-07 635.73 635.73 625.16 628.78 38022360
## 125 2014-11-07 627.44 629.45 623.73 627.10 21518770
## 126 2014-07-14 628.48 632.54 627.08 632.54 21956800
## 127 2014-07-15 635.41 637.81 635.41 636.09 26597880
## 128 2014-07-16 641.52 643.03 637.13 637.13 35173020
## 129 2014-07-17 635.91 638.56 633.36 636.30 22237530
## 130 2014-07-18 635.73 645.52 635.31 645.52 31395760
## 131 2014-07-21 644.77 650.97 642.56 645.33 29805590
## 132 2014-07-22 644.75 645.57 640.13 641.95 25093610
## 133 2014-07-23 642.74 643.56 638.97 640.84 15756630
## 134 2014-07-24 640.07 647.40 640.07 646.64 22262700
## 135 2014-07-25 647.60 650.57 641.96 641.96 29281430
## 136 2014-07-28 640.13 640.27 628.10 630.30 44843320
## 137 2014-07-29 630.61 633.58 627.24 633.58 27431930
## 138 2014-07-30 631.62 635.22 629.07 629.07 41148600
## 139 2014-07-31 628.93 637.07 628.41 637.04 26590270
## 140 2014-01-08 635.87 636.75 632.80 635.01 26580150
## 141 2014-04-08 631.14 639.18 631.14 638.98 34388810
## 142 2014-05-08 640.25 643.56 638.75 643.56 35110190
## 143 2014-06-08 643.56 647.63 641.58 644.00 37896330
## 144 2014-07-08 641.04 644.46 639.54 644.19 40584260
## 145 2014-08-08 644.04 646.30 640.18 641.93 43745980
## 146 2014-11-08 639.43 642.15 636.48 638.22 33950740
## 147 2014-12-08 637.22 642.93 635.82 639.96 35926330
## 148 2014-08-13 639.75 645.17 639.75 645.17 43804720
## 149 2014-08-14 646.42 650.49 645.85 649.85 49921470
## 150 2014-08-15 649.62 650.09 645.13 645.13 46216830
## 151 2014-08-18 646.35 649.18 643.94 647.00 57062040
## 152 2014-08-19 647.98 650.20 644.70 645.46 51917260
## 153 2014-08-20 645.90 649.32 643.29 645.44 44317020
## 154 2014-08-21 644.95 653.44 644.95 649.94 71638750
## 155 2014-08-22 650.99 657.39 650.99 654.96 78577540
## 156 2014-08-25 659.13 663.42 657.74 661.76 71860060
## 157 2014-08-26 665.30 670.29 663.81 668.25 59946830
## 158 2014-08-27 670.80 674.60 664.19 667.90 72120150
## 159 2014-08-28 667.35 673.29 666.36 668.96 63865360
## 160 2014-08-29 672.14 678.68 668.36 676.82 75103150
## 161 2014-03-09 681.09 684.82 678.48 678.90 81872510
## 162 2014-04-09 678.40 680.41 675.32 678.59 57472080
## 163 2014-05-09 678.81 679.70 675.84 677.62 53836720
## 164 2014-08-09 681.26 683.36 678.41 678.83 65119770
## 165 2014-09-09 678.83 678.89 659.97 664.65 96195710
## 166 2014-10-09 663.89 667.55 653.53 666.42 57255180
## 167 2014-11-09 668.19 670.39 663.84 665.09 52318660
## 168 2014-12-09 666.15 669.87 664.23 669.78 50655150
## 169 2014-09-15 670.67 674.09 668.42 668.42 99517800
## 170 2014-09-16 666.69 668.96 659.97 666.66 79419150
## 171 2014-09-17 667.79 671.30 664.33 665.66 78224120
## 172 2014-09-18 665.51 668.20 658.02 659.63 68239410
## 173 2014-09-19 658.86 662.48 654.54 654.54 138989950
## 174 2014-09-22 659.72 662.60 653.19 653.19 44435760
## 175 2014-09-23 652.88 663.41 652.76 658.31 48443580
## 176 2014-09-24 656.97 661.13 653.34 655.14 45961920
## 177 2014-09-25 653.53 653.72 642.83 653.39 53244240
## 178 2014-09-26 655.55 656.44 649.63 649.63 54838780
## 179 2014-09-29 650.08 650.08 642.98 642.98 48715820
## 180 2014-09-30 641.13 646.88 637.85 644.25 64729900
## 181 2014-01-10 648.98 655.85 648.87 655.06 70404420
## 182 2014-02-10 655.97 659.83 653.03 659.64 68719190
## 183 2014-03-10 659.05 663.54 658.04 659.25 69622150
## 184 2014-06-10 658.84 663.65 657.93 662.43 57166850
## 185 2014-07-10 661.84 662.16 658.14 659.16 59340450
## 186 2014-08-10 657.35 661.67 655.15 658.98 55361260
## 187 2014-09-10 660.90 662.75 657.11 657.11 44388620
## 188 2014-10-10 655.72 659.11 651.52 651.72 48942270
## 189 2014-10-13 650.76 653.69 646.51 651.07 41343900
## 190 2014-10-14 651.91 653.10 641.13 641.13 37234030
## 191 2014-10-15 640.12 642.63 634.34 641.63 41893310
## 192 2014-10-16 639.79 639.98 622.03 623.76 69086870
## 193 2014-10-17 623.36 627.42 613.76 624.77 53870350
## 194 2014-10-20 624.98 632.52 622.21 628.09 31723450
## 195 2014-10-21 627.96 635.36 627.11 633.81 28356240
## 196 2014-10-22 635.72 639.55 635.02 637.85 42823070
## 197 2014-10-23 636.33 638.56 630.84 630.84 66736420
## 198 2014-10-24 629.83 633.04 625.49 629.52 31843500
## 199 2014-10-27 626.19 628.64 615.15 615.15 40920940
## 200 2014-10-28 613.23 621.19 613.23 618.99 54298330
## 201 2014-10-29 620.18 628.60 620.18 628.10 44202630
## 202 2014-10-30 628.50 630.62 626.50 627.21 36336140
## 203 2014-10-31 628.53 638.78 626.64 638.78 52201910
## 204 2014-03-11 644.03 646.76 642.47 644.64 39206710
## 205 2014-04-11 641.73 644.75 639.91 639.91 33905260
## 206 2014-05-11 638.90 643.36 633.89 637.68 48117830
## 207 2014-06-11 638.17 641.39 636.17 637.56 26103700
## 208 2014-07-11 638.87 643.49 637.07 642.77 54482370
## 209 2014-10-11 644.05 647.01 642.90 642.90 53918970
## 210 2014-11-11 643.26 647.10 641.47 642.02 59141110
## 211 2014-12-11 643.07 644.76 640.58 641.89 46243920
## 212 2014-11-13 642.40 644.53 638.87 638.87 60401860
## 213 2014-11-14 638.24 638.71 632.28 637.90 65403010
## 214 2014-11-17 639.53 640.93 637.18 637.21 40381830
## 215 2014-11-18 637.12 637.61 627.84 627.84 48273730
## 216 2014-11-19 628.44 630.64 623.66 623.66 56966550
## 217 2014-11-20 627.65 630.57 624.87 628.80 75828120
## 218 2014-11-21 629.07 631.21 623.74 623.74 68727730
## 219 2014-11-24 620.57 622.24 615.45 616.39 49002120
## 220 2014-11-25 618.48 624.83 618.48 623.23 42602920
## 221 2014-11-26 624.68 625.92 615.22 616.48 70171350
## 222 2014-11-27 615.91 616.56 609.70 615.57 48097690
## 223 2014-11-28 615.19 616.98 611.15 611.15 52813770
## 224 2014-01-12 612.86 617.19 612.68 614.44 53404940
## 225 2014-02-12 615.32 616.16 613.57 613.57 44309240
## 226 2014-03-12 614.72 621.05 614.72 619.29 46508530
## 227 2014-04-12 619.43 626.10 619.43 624.31 44078670
## 228 2014-05-12 625.53 628.13 623.13 624.67 35167670
## 229 2014-08-12 622.90 623.85 617.10 619.87 42631350
## 230 2014-09-12 617.02 617.02 603.13 603.85 71381990
## 231 2014-10-12 601.92 611.51 597.97 610.81 48314670
## 232 2014-11-12 604.88 612.80 601.84 604.80 41321160
## 233 2014-12-12 603.35 609.66 603.35 609.33 31791210
## 234 2014-12-15 607.56 610.59 603.92 603.92 32349570
## 235 2014-12-16 601.75 602.00 591.28 591.78 48619190
## 236 2014-12-17 592.34 593.39 563.92 569.71 74427550
## 237 2014-12-18 573.93 579.73 571.19 578.88 50621510
## 238 2014-12-19 578.40 582.59 570.61 570.61 123090420
## 239 2014-12-22 577.08 587.64 576.98 587.56 32381560
## 240 2014-12-23 589.20 594.41 584.62 589.61 40037900
## 241 2014-12-24 591.61 593.55 588.17 591.19 25594900
## 242 2014-12-25 588.63 589.79 584.10 585.19 28753740
## 243 2014-12-26 585.45 587.46 577.98 582.45 40237490
## 244 2014-12-29 583.36 589.18 578.53 583.36 50289330
## 245 2014-12-30 582.65 591.18 578.33 591.18 38821150
## 246 2014-12-31 592.02 601.93 591.84 601.66 56990640
## 247 2015-05-01 600.48 604.99 599.69 599.69 50120690
## 248 2015-06-01 594.37 606.45 593.46 606.37 44823080
## 249 2015-07-01 606.49 611.78 606.49 607.65 52993980
## 250 2015-08-01 607.52 609.85 605.37 606.85 35326680
## 251 2015-09-01 608.26 619.52 608.26 618.41 54770470
## 252 2015-12-01 618.04 624.18 615.49 615.73 74155790
## 253 2015-01-13 614.22 619.58 614.06 619.39 46041450
## 254 2015-01-14 620.56 621.75 611.90 616.84 46841670
## 255 2015-01-15 617.12 619.05 613.80 617.62 50256690
## 256 2015-01-16 616.89 617.52 613.40 614.72 45619400
## 257 2015-01-19 616.91 618.29 609.77 611.64 37281780
## 258 2015-01-20 611.46 614.50 608.32 609.19 27310040
## 259 2015-01-21 611.50 611.63 606.53 606.53 27805930
## 260 2015-01-22 607.68 613.35 604.35 610.31 35661460
## 261 2015-01-23 611.79 618.90 611.79 615.16 43465530
## 262 2015-01-26 618.14 619.21 612.64 612.64 27978130
## 263 2015-01-27 613.03 616.69 606.75 609.98 56520410
## 264 2015-01-28 610.54 614.95 608.41 613.53 42686560
## 265 2015-01-29 613.87 615.63 610.57 613.90 38860910
## 266 2015-01-30 613.41 613.47 604.98 606.54 33840790
## 267 2015-02-02 606.02 609.79 598.46 598.46 28617500
## 268 2015-03-02 600.02 601.33 585.47 585.47 37859200
## 269 2015-04-02 585.32 588.83 581.24 588.83 45743550
## 270 2015-05-02 587.54 593.56 587.47 591.28 29515570
## 271 2015-06-02 592.40 597.06 592.40 595.69 23398110
## 272 2015-09-02 595.69 598.82 594.77 594.77 27637200
## 273 2015-10-02 594.79 599.43 594.72 595.53 23232540
## 274 2015-11-02 596.70 607.33 596.41 607.33 36021250
## 275 2015-12-02 608.89 614.69 608.89 613.36 37582450
## 276 2015-02-13 615.33 618.46 614.96 617.20 30277560
## 277 2015-02-24 619.48 624.17 618.73 624.17 27534650
## 278 2015-02-25 623.69 627.94 619.23 619.44 37930160
## 279 2015-02-26 621.00 623.99 618.09 623.84 45480930
## 280 2015-02-27 625.35 625.35 618.39 618.39 31015980
## 281 2015-02-03 619.20 621.04 615.39 617.05 33074500
## 282 2015-03-03 618.00 627.39 618.00 627.27 46445600
## 283 2015-04-03 628.77 630.52 625.66 629.69 38281850
## 284 2015-05-03 629.58 630.72 625.25 625.25 44971620
## 285 2015-06-03 625.15 629.71 622.75 622.75 37192250
## 286 2015-09-03 623.73 628.07 620.04 620.88 36115440
## 287 2015-10-03 619.37 622.95 618.96 621.10 48318880
## 288 2015-11-03 622.48 623.65 619.27 619.27 33458430
## 289 2015-12-03 619.00 621.81 616.52 620.24 35829930
## 290 2015-03-13 620.40 622.56 616.94 616.94 50022480
## 291 2015-03-16 613.99 616.42 609.78 610.63 52211850
## 292 2015-03-17 609.37 612.72 609.37 611.24 44165630
## 293 2015-03-18 610.31 611.20 607.08 607.18 41907400
## 294 2015-03-19 607.64 608.81 600.87 601.31 39520700
## 295 2015-03-20 600.19 604.67 599.91 603.76 105742910
## 296 2015-03-23 604.09 607.40 597.94 598.07 46210900
## 297 2015-03-24 596.65 596.65 590.18 593.80 35141090
## 298 2015-03-25 593.50 593.96 589.42 590.17 38156130
## 299 2015-03-26 587.99 590.94 585.81 586.70 30028020
## 300 2015-03-27 588.68 590.64 580.34 583.02 34429370
## 301 2015-03-30 583.22 584.99 576.41 576.60 36168370
## 302 2015-03-31 576.80 582.51 576.80 579.97 38523860
## 303 2015-01-04 580.27 580.61 568.45 569.48 49556230
## 304 2015-02-04 571.22 576.99 567.48 576.13 35101250
## 305 2015-03-04 577.36 580.11 574.43 577.66 30629150
## 306 2015-06-04 578.14 579.56 572.71 572.71 20252990
## 307 2015-07-04 572.72 578.21 570.09 577.69 40889220
## 308 2015-08-04 578.60 580.08 574.85 575.94 26889510
## 309 2015-09-04 575.50 581.25 575.36 578.35 22954440
## 310 2015-10-04 579.53 586.90 579.53 583.34 32635700
## 311 2015-04-13 586.09 589.77 585.86 589.77 26926070
## 312 2015-04-14 589.11 592.03 587.24 587.24 20014490
## 313 2015-04-15 588.32 592.45 587.21 590.78 31429170
## 314 2015-04-16 593.91 597.01 592.84 595.09 37405150
## 315 2015-04-17 595.43 602.83 595.43 599.12 45870480
## 316 2015-04-20 599.66 599.89 593.96 595.82 21455030
## 317 2015-04-21 595.10 598.24 593.67 593.67 31596060
## 318 2015-04-22 594.89 597.40 593.99 594.00 26166660
## 319 2015-04-23 594.13 596.85 589.61 592.71 27232170
## 320 2015-04-24 594.30 596.93 593.03 596.10 19366650
## 321 2015-04-27 599.99 600.36 593.15 593.15 16769490
## 322 2015-04-05 589.54 593.95 575.16 576.52 44368030
## 323 2015-05-05 576.34 585.45 571.07 585.45 37348980
## 324 2015-06-05 585.64 585.64 578.89 579.39 24916970
## 325 2015-07-05 578.84 584.45 577.62 582.40 19649740
## 326 2015-08-05 581.87 586.21 581.35 582.91 26934510
## 327 2015-11-05 582.99 585.88 579.41 579.41 51360780
## 328 2015-12-05 580.11 580.27 570.11 571.00 30321370
## 329 2015-05-13 572.33 573.24 565.11 569.28 36536130
## 330 2015-05-14 568.77 570.66 567.28 569.89 23843460
## 331 2015-05-15 569.39 570.58 561.87 561.87 27114960
## 332 2015-05-18 559.99 560.96 552.87 552.90 47279980
## 333 2015-05-19 552.46 556.92 552.46 556.44 30454020
## 334 2015-05-20 556.99 572.34 556.99 572.34 56795640
## 335 2015-05-21 574.50 578.64 570.49 578.64 50168210
## 336 2015-05-22 577.86 586.58 574.60 586.58 45580550
## 337 2015-05-25 585.08 589.18 582.45 588.36 44375780
## 338 2015-05-26 588.50 594.30 587.77 591.13 55049100
## 339 2015-05-27 589.31 592.28 587.96 589.82 45576240
## 340 2015-05-28 589.06 599.22 588.19 594.27 65730500
## 341 2015-05-29 594.34 597.08 588.15 589.32 59340350
## 342 2015-01-06 590.44 597.20 590.13 593.61 49287110
## 343 2015-02-06 593.34 596.96 588.63 588.63 51861840
## 344 2015-03-06 587.59 591.82 585.42 585.60 66721950
## 345 2015-04-06 586.82 590.42 586.18 587.48 37307960
## 346 2015-05-06 589.16 593.95 585.86 592.22 63414230
## 347 2015-08-06 592.22 599.19 592.22 594.51 86060730
## 348 2015-09-06 593.56 599.44 591.90 593.36 60362820
## 349 2015-10-06 593.60 597.30 590.69 595.06 55791150
## 350 2015-11-06 598.47 602.96 597.27 601.40 79228760
## 351 2015-12-06 602.30 604.63 600.03 604.29 65167070
## 352 2015-06-15 605.47 606.80 601.88 604.53 75545260
## 353 2015-06-16 605.80 607.60 600.92 600.92 76575060
## 354 2015-06-17 599.52 603.62 595.35 598.25 54835100
## 355 2015-06-18 598.58 602.55 598.58 600.45 42399760
## 356 2015-06-19 603.43 606.82 601.09 603.26 124377490
## 357 2015-06-22 608.00 615.19 607.64 615.10 91262230
## 358 2015-06-23 614.86 617.35 612.70 614.42 52725810
## 359 2015-06-24 612.66 615.34 610.11 610.73 57373900
## 360 2015-06-25 610.49 611.40 606.18 609.49 45885560
## 361 2015-06-26 606.76 617.82 606.76 608.92 73954670
## 362 2015-06-29 608.75 620.22 608.75 620.22 52259200
## 363 2015-06-30 616.19 626.86 616.19 622.43 65958110
## 364 2015-01-07 624.36 624.97 617.57 622.91 45219630
## 365 2015-02-07 622.57 633.28 621.79 633.28 47992190
## 366 2015-03-07 635.89 639.87 635.34 639.87 66982000
## 367 2015-06-07 643.19 649.54 642.35 649.54 66835520
## 368 2015-07-07 647.83 656.46 644.74 653.27 68618260
## 369 2015-08-07 652.98 655.90 640.61 645.67 88584190
## 370 2015-09-07 638.89 648.91 635.73 646.58 50984080
## 371 2015-10-07 651.00 652.29 647.20 648.73 74168700
## 372 2015-07-13 652.37 655.50 648.20 652.28 53613240
## 373 2015-07-14 653.67 658.51 648.89 658.28 59942260
## 374 2015-07-15 658.81 661.97 651.45 651.45 48799450
## 375 2015-07-16 647.99 652.55 644.13 649.06 47413920
## 376 2015-07-17 649.24 653.18 648.66 651.03 39670950
## 377 2015-07-20 646.69 646.81 639.90 644.19 37224400
## 378 2015-07-21 643.83 647.03 636.91 641.45 36948050
## 379 2015-07-22 640.42 655.11 639.66 655.06 43578930
## 380 2015-07-23 656.53 662.05 655.17 655.74 47321290
## 381 2015-07-24 657.47 661.15 653.95 657.97 43925530
## 382 2015-07-27 658.63 667.17 658.16 665.66 56837830
## 383 2015-07-28 666.01 668.80 659.60 659.60 71458010
## 384 2015-07-29 659.53 662.57 651.21 651.21 54242840
## 385 2015-07-30 651.35 652.74 648.12 651.70 39566670
## 386 2015-07-31 653.03 654.56 647.36 647.36 39552960
## 387 2015-03-08 642.46 642.61 632.93 636.92 60167110
## 388 2015-04-08 637.20 638.14 631.27 631.27 32761750
## 389 2015-05-08 632.89 639.33 632.89 639.33 33712110
## 390 2015-06-08 639.96 640.52 632.97 633.53 40264030
## 391 2015-07-08 635.00 638.75 631.97 638.40 29630250
## 392 2015-10-08 637.58 649.99 637.58 649.99 34570430
## 393 2015-11-08 646.63 648.87 642.28 643.42 45008060
## 394 2015-12-08 639.70 641.12 630.99 632.90 45375650
## 395 2015-08-13 632.10 632.10 619.10 622.83 53404820
## 396 2015-08-14 621.34 625.84 615.55 618.94 39349050
## 397 2015-08-17 618.99 621.01 604.67 607.44 51755300
## 398 2015-08-18 605.42 611.80 604.70 611.80 41587200
## 399 2015-08-19 610.00 611.63 600.69 608.91 42680700
## 400 2015-08-20 606.66 609.72 597.46 598.22 48141860
## 401 2015-08-21 589.51 591.32 572.16 587.83 91074940
## 402 2015-08-24 580.86 580.86 552.23 558.92 84593460
## 403 2015-08-25 544.10 567.56 544.10 561.00 72789500
## 404 2015-08-26 561.17 577.15 561.17 574.88 61454730
## 405 2015-08-27 579.74 583.70 577.88 581.51 53832450
## 406 2015-08-28 585.35 597.81 582.42 597.81 71452660
## 407 2015-08-31 596.58 596.58 586.23 586.23 40143500
## 408 2015-01-09 586.53 591.08 583.02 583.61 30988450
## 409 2015-03-09 581.30 581.89 572.64 575.58 35154310
## 410 2015-04-09 576.94 579.89 575.88 578.78 23083890
## 411 2015-07-09 577.17 580.47 573.25 574.09 23193140
## 412 2015-08-09 572.91 583.78 572.85 583.35 40648040
## 413 2015-09-09 585.24 589.74 585.24 587.69 28698200
## 414 2015-10-09 583.91 591.10 582.79 588.54 23681500
## 415 2015-11-09 588.89 590.04 582.80 583.27 34013830
## 416 2015-09-14 583.07 585.77 574.96 576.00 26979260
## 417 2015-09-15 574.39 574.93 570.59 571.53 24742610
## 418 2015-09-16 572.47 577.24 572.47 576.78 23776190
## 419 2015-09-17 577.52 580.29 576.68 576.68 20035930
## 420 2015-09-18 578.78 586.19 578.78 582.73 59602420
## 421 2015-09-21 583.37 590.46 582.81 590.46 29558830
## 422 2015-09-22 591.81 593.93 589.01 592.78 34390930
## 423 2015-09-23 590.58 593.13 588.24 591.23 27630830
## 424 2015-09-24 591.39 593.67 589.42 589.42 28408020
## 425 2015-09-25 588.91 591.12 584.87 588.11 22919460
## 426 2015-09-28 588.69 589.64 582.42 582.42 26545720
## 427 2015-09-29 577.85 579.66 575.06 578.98 31614680
## 428 2015-09-30 580.39 583.90 580.32 580.32 22545860
## 429 2015-01-10 581.67 584.43 581.20 582.33 18424500
## 430 2015-02-10 582.47 584.06 580.74 580.74 18067740
## 431 2015-05-10 582.94 588.73 582.16 588.73 28032290
## 432 2015-06-10 596.87 599.92 592.44 599.92 70115480
## 433 2015-07-10 602.12 605.22 598.36 598.42 57896950
## 434 2015-08-10 598.61 606.08 597.73 604.91 65838150
## 435 2015-09-10 609.08 611.15 605.60 605.60 72464900
## 436 2015-12-10 605.87 612.48 605.29 609.55 52125230
## 437 2015-10-13 608.06 608.94 605.38 607.03 42042750
## 438 2015-10-14 610.78 612.59 607.57 607.57 42329930
## 439 2015-10-15 609.72 610.87 606.71 607.95 40378040
## 440 2015-10-16 609.76 616.35 609.73 609.73 51910700
## 441 2015-10-19 610.96 615.13 608.01 611.37 36535260
## 442 2015-10-20 611.81 612.26 603.94 605.56 52250290
## 443 2015-10-21 605.86 609.32 603.98 604.34 38509270
## 444 2015-10-22 603.84 611.06 603.84 609.78 33713350
## 445 2015-10-23 613.49 617.16 613.12 616.07 35320820
## 446 2015-10-26 619.09 622.09 612.21 612.21 34430620
## 447 2015-10-27 611.09 614.47 608.89 611.57 31830730
## 448 2015-10-28 612.25 615.05 609.51 609.68 41739410
## 449 2015-10-29 610.56 618.01 610.56 618.01 37804070
## 450 2015-10-30 618.41 620.37 615.66 619.21 29036220
## 451 2015-02-11 619.89 621.94 613.19 613.19 36686750
## 452 2015-03-11 613.48 623.85 611.30 623.85 38916890
## 453 2015-04-11 626.75 630.60 621.35 621.35 33332060
## 454 2015-05-11 619.95 627.17 619.93 625.71 26412580
## 455 2015-06-11 626.15 630.36 620.02 622.67 39322100
## 456 2015-09-11 623.50 623.50 619.21 619.44 49863110
## 457 2015-10-11 619.26 619.95 614.10 614.56 47026190
## 458 2015-11-11 613.81 619.59 612.71 612.71 28925030
## 459 2015-12-11 612.12 614.39 603.06 614.39 56061430
## 460 2015-11-13 613.13 622.34 613.13 622.34 52419910
## 461 2015-11-16 620.95 622.51 615.42 619.14 47081400
## 462 2015-11-17 618.62 620.89 614.13 614.39 73073450
## 463 2015-11-18 613.24 617.19 611.21 612.25 39565100
## 464 2015-11-19 613.73 615.12 609.05 609.05 40369120
## 465 2015-11-20 608.86 614.03 608.12 611.16 47776760
## 466 2015-11-23 611.14 615.96 606.93 606.93 46137270
## 467 2015-11-24 607.48 607.48 597.01 600.21 55366490
## 468 2015-11-25 599.38 603.72 593.58 602.67 61037170
## 469 2015-11-26 601.97 603.46 598.04 598.04 45527610
## 470 2015-11-27 596.93 599.63 590.59 590.59 54288420
## 471 2015-11-30 589.57 589.76 580.53 581.94 49379670
## 472 2015-01-12 582.74 586.14 579.06 579.06 42933710
## 473 2015-02-12 579.54 586.15 579.54 583.94 44202500
## 474 2015-03-12 583.57 587.27 583.50 585.23 25746300
## 475 2015-04-12 585.13 585.14 578.88 582.96 27429250
## 476 2015-07-12 581.62 581.80 574.73 575.34 27917870
## 477 2015-08-12 574.21 584.85 568.51 584.85 41143140
## 478 2015-09-12 584.48 587.62 574.54 574.54 35867640
## 479 2015-10-12 575.37 578.10 572.50 572.50 32690530
## 480 2015-11-12 572.39 580.73 571.70 578.01 30392220
## 481 2015-12-14 581.57 582.93 577.68 579.42 43757940
## 482 2015-12-15 580.59 584.57 580.07 582.28 29463800
## 483 2015-12-16 584.14 588.21 582.58 583.97 24526680
## 484 2015-12-17 587.74 590.01 584.23 586.47 27881260
## 485 2015-12-18 585.89 587.76 578.85 578.85 111582970
## 486 2015-12-21 581.36 581.92 576.12 577.73 41093490
## 487 2015-12-22 578.18 580.64 575.71 576.80 24201750
## 488 2015-12-23 575.43 578.36 572.22 575.46 24882050
## 489 2015-12-24 575.86 578.10 575.11 576.71 18795960
## 490 2015-12-25 577.98 581.69 577.63 579.32 26897650
## 491 2015-12-28 583.14 586.52 582.58 583.16 33542880
## 492 2015-12-29 582.71 589.43 579.18 589.43 38916640
## 493 2015-12-30 589.93 594.80 587.81 594.80 28701100
## 494 2015-12-31 594.21 595.57 590.37 595.57 30782620
## 495 2016-04-01 593.31 594.68 587.94 589.91 34556430
## 496 2016-05-01 586.93 589.65 583.06 583.62 38365210
## 497 2016-06-01 582.81 589.97 582.81 589.97 34673330
## 498 2016-07-01 589.12 589.12 577.19 582.30 53139350
## 499 2016-08-01 578.97 579.97 571.96 575.96 49590710
## 500 2016-11-01 574.95 579.24 573.02 573.72 41346790
## 501 2016-12-01 574.23 582.39 574.23 582.39 37782740
## 502 2016-01-13 583.37 584.03 577.29 578.63 58499270
## 503 2016-01-14 571.02 573.73 565.79 569.17 64773170
## 504 2016-01-15 570.33 572.27 555.76 555.76 58789460
## 505 2016-01-18 543.44 543.44 531.92 541.18 71910580
## 506 2016-01-19 541.43 550.29 541.43 550.29 46672170
## 507 2016-01-20 546.69 551.88 543.59 544.24 54081350
## 508 2016-01-21 541.34 548.09 537.88 538.53 62930690
## 509 2016-01-22 541.84 542.40 531.53 539.37 72569000
## 510 2016-01-25 546.87 562.22 546.87 562.19 61950410
## 511 2016-01-26 553.09 560.05 549.32 554.52 58752560
## 512 2016-01-27 558.65 561.94 557.01 558.98 47279780
## 513 2016-01-28 558.65 562.45 555.73 556.86 43940300
## 514 2016-01-29 557.31 562.79 554.63 561.61 40298590
## 515 2016-01-02 562.40 565.79 557.98 557.98 33491390
## 516 2016-02-02 555.13 559.80 553.76 555.09 26468430
## 517 2016-03-02 552.09 556.53 549.01 556.53 32011090
## 518 2016-04-02 560.00 562.88 559.33 561.22 24669190
## 519 2016-05-02 560.01 565.97 560.01 563.97 23062660
## 520 2016-02-15 558.64 561.48 554.24 559.19 26536240
## 521 2016-02-16 560.98 564.21 560.95 562.32 41862840
## 522 2016-02-17 565.69 567.31 561.10 561.10 48801190
## 523 2016-02-18 564.27 569.38 563.16 566.85 43464450
## 524 2016-02-19 566.68 568.97 565.25 567.51 72049750
## 525 2016-02-22 567.87 576.63 567.87 574.37 72129470
## 526 2016-02-23 579.62 580.05 573.47 573.78 68991590
## 527 2016-02-24 571.54 581.76 570.14 578.87 61697110
## 528 2016-02-25 580.63 583.87 573.02 573.02 51914780
## 529 2016-02-26 574.12 577.73 572.17 577.71 33428440
## 530 2016-02-29 576.98 577.74 570.66 577.71 33428440
## 531 2016-01-03 570.88 576.30 570.88 572.99 44836030
## 532 2016-02-03 575.95 579.61 573.27 579.17 47270440
## 533 2016-03-03 582.26 582.43 578.55 579.11 46474860
## 534 2016-07-03 582.60 587.91 582.31 582.60 52733420
## 535 2016-08-03 583.29 585.67 582.08 582.54 50591240
## 536 2016-09-03 582.45 585.48 580.52 581.25 36201600
## 537 2016-10-03 582.95 583.79 580.19 583.77 37819630
## 538 2016-11-03 583.93 588.46 582.54 583.89 48007980
## 539 2016-03-14 586.63 587.93 584.06 587.09 44201420
## 540 2016-03-15 586.45 588.05 581.72 583.02 46022420
## 541 2016-03-16 582.95 585.31 581.40 583.79 50974370
## 542 2016-03-17 588.62 590.98 586.37 586.47 56256610
## 543 2016-03-18 587.13 587.92 581.95 581.95 77604400
## 544 2016-03-21 582.85 587.78 579.95 579.95 52165610
## 545 2016-03-22 580.01 580.67 575.68 577.97 37385320
## 546 2016-03-23 577.77 581.74 577.25 580.60 46641550
## 547 2016-03-24 579.84 584.36 577.31 577.31 44064790
## 548 2016-03-25 576.64 579.84 571.71 578.24 45475190
## 549 2016-03-28 578.45 582.82 577.46 582.37 33121830
## 550 2016-03-29 582.87 583.29 575.16 575.16 42581490
## 551 2016-03-30 573.58 579.97 572.16 577.11 37937340
## 552 2016-03-31 575.37 579.44 571.69 571.69 45362930
## 553 2016-01-04 570.70 572.17 566.81 568.27 39572770
## 554 2016-04-04 568.01 570.25 563.05 565.71 36166390
## 555 2016-05-04 565.59 570.43 565.37 570.43 32931440
## 556 2016-06-04 571.47 576.40 569.40 576.40 29250780
## 557 2016-07-04 577.88 580.37 575.09 579.28 37795160
## 558 2016-08-04 578.43 581.39 576.68 578.97 35500680
## 559 2016-11-04 580.79 588.42 580.65 586.78 46007230
## 560 2016-12-04 588.73 590.22 584.75 587.47 48924080
## 561 2016-04-13 587.94 589.03 582.40 584.63 42440850
## 562 2016-04-14 582.40 591.64 582.40 586.21 39084410
## 563 2016-04-15 586.27 591.76 584.47 584.47 33335290
## 564 2016-04-19 584.14 584.42 575.06 575.06 38488770
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## 566 2016-04-21 578.09 584.37 577.19 582.76 33751240
## 567 2016-04-22 582.43 595.48 581.72 595.38 44774310
## 568 2016-04-25 599.85 604.12 594.16 594.16 47011590
## 569 2016-04-26 593.35 601.27 593.35 601.27 58764550
## 570 2016-04-27 603.93 603.93 593.93 597.43 57830450
## 571 2016-04-28 597.87 600.36 593.46 595.63 33519350
## 572 2016-04-29 595.50 603.04 595.19 601.25 41004450
## 573 2016-04-05 600.63 606.88 597.40 602.57 53000870
## 574 2016-05-05 603.68 609.59 603.32 604.69 43704920
## 575 2016-06-05 604.96 610.19 604.70 607.55 38018650
## 576 2016-09-05 610.78 612.82 604.24 604.24 39065150
## 577 2016-10-05 601.23 605.37 597.91 604.56 40947790
## 578 2016-11-05 606.32 611.96 604.25 611.96 37768550
## 579 2016-12-05 613.32 615.57 611.39 612.04 28991120
## 580 2016-05-13 612.64 615.33 608.67 609.97 39461980
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## 582 2016-05-17 619.24 625.12 617.11 622.93 48925270
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## 584 2016-05-19 624.73 625.99 620.11 621.13 44205580
## 585 2016-05-20 621.34 623.19 615.91 616.40 35392800
## 586 2016-05-23 616.81 617.39 612.43 614.45 24717400
## 587 2016-05-24 616.33 616.45 611.94 614.62 33863250
## 588 2016-05-25 614.91 618.61 612.74 612.74 38580820
## 589 2016-05-26 613.05 615.94 607.16 607.16 31598350
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## 591 2016-05-30 612.40 617.43 611.83 616.73 36137970
## 592 2016-05-31 618.91 621.30 616.85 617.52 37020710
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## 594 2016-02-06 619.14 622.88 618.10 621.18 43213170
## 595 2016-03-06 622.07 622.65 619.15 621.05 40278770
## 596 2016-06-06 620.61 622.23 615.91 618.88 42669780
## 597 2016-07-06 620.96 624.01 619.59 624.01 38924170
## 598 2016-08-06 624.83 632.60 624.83 630.09 45578480
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## 600 2016-10-06 630.55 634.07 628.40 629.27 50137570
## 601 2016-06-13 626.68 626.92 620.36 621.75 40155800
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## 604 2016-06-16 625.02 627.46 622.54 622.54 45734420
## 605 2016-06-17 621.15 622.15 615.39 615.75 80070280
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## 608 2016-06-22 626.53 628.26 623.76 624.18 30458160
## 609 2016-06-23 623.71 627.61 623.09 626.50 36642430
## 610 2016-06-24 625.80 625.80 591.44 612.69 111980010
## 611 2016-06-27 609.64 614.42 601.71 614.42 38475490
## 612 2016-06-28 612.52 616.51 612.00 614.31 30146410
## 613 2016-06-29 616.09 622.43 616.09 621.39 46980010
## 614 2016-06-30 623.98 626.90 621.52 621.79 34652930
## 615 2016-01-07 623.77 630.61 623.50 626.34 40594650
## 616 2016-04-07 629.19 634.23 629.19 633.57 51257820
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## 618 2016-06-07 632.80 638.29 630.21 636.18 42782450
## 619 2016-07-07 639.90 645.01 638.63 644.52 44291280
## 620 2016-08-07 645.21 648.73 639.67 643.56 48033380
## 621 2016-11-07 643.77 648.37 633.89 636.02 51212010
## 622 2016-12-07 637.69 641.58 633.50 641.58 47502400
## 623 2016-07-13 645.04 657.66 645.04 656.89 65837350
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## 629 2016-07-21 647.51 650.12 642.22 643.16 38448740
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## 633 2016-07-27 634.67 640.41 634.42 639.63 50115660
## 634 2016-07-28 639.58 644.33 636.61 644.33 51213880
## 635 2016-07-29 644.00 645.39 639.11 639.17 42971430
## 636 2016-01-08 642.04 642.04 633.42 635.41 37305420
## 637 2016-02-08 631.09 631.13 620.85 623.16 63860160
## 638 2016-03-08 620.86 622.40 616.53 619.80 34005000
## 639 2016-04-08 620.42 626.79 617.41 617.41 43575850
## 640 2016-05-08 615.06 615.65 608.84 615.06 51706330
## 641 2016-08-08 614.38 616.97 609.21 614.65 36306770
## 642 2016-09-08 614.16 621.88 614.16 621.43 36456730
## 643 2016-10-08 621.18 633.39 621.18 632.86 50254560
## 644 2016-11-08 634.27 645.10 633.95 645.10 65385350
## 645 2016-12-08 650.55 652.87 638.10 641.11 56880440
## 646 2016-08-15 640.59 645.69 639.08 645.66 56928330
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## 649 2016-08-18 653.36 656.33 646.59 652.87 52775680
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## 651 2016-08-22 654.43 655.33 647.46 647.46 52649650
## 652 2016-08-23 643.90 651.19 642.50 650.92 41297430
## 653 2016-08-24 651.83 656.93 650.21 650.95 37971740
## 654 2016-08-25 649.51 650.69 646.71 649.06 42327060
## 655 2016-08-26 652.64 659.34 652.64 656.71 49771730
## 656 2016-08-29 660.07 666.02 656.23 656.23 45933020
## 657 2016-08-30 655.39 661.20 654.66 661.20 36227890
## 658 2016-08-31 662.41 666.70 661.32 665.25 45275130
## 659 2016-01-09 665.20 665.20 655.28 659.09 40971360
## 660 2016-05-09 660.24 661.13 652.13 655.08 50626120
## 661 2016-06-09 656.06 659.27 656.02 656.02 37876630
## 662 2016-07-09 655.19 655.75 647.47 654.79 39075430
## 663 2016-08-09 654.53 661.54 654.38 659.25 56183480
## 664 2016-09-09 662.04 663.68 657.64 658.66 41911660
## 665 2016-12-09 657.61 657.61 646.87 651.63 36825290
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## 667 2016-09-14 651.15 652.50 646.93 646.93 43484990
## 668 2016-09-15 646.37 649.97 644.08 645.02 44216500
## 669 2016-09-16 642.29 645.72 639.37 639.37 112809150
## 670 2016-09-19 646.47 648.83 644.23 648.83 52585110
## 671 2016-09-20 648.77 653.66 643.60 653.66 47262570
## 672 2016-09-21 653.67 658.05 652.62 657.44 59216090
## 673 2016-09-22 659.65 665.27 659.36 662.31 51576940
## 674 2016-09-23 662.23 664.31 660.85 664.31 36179520
## 675 2016-09-26 662.79 666.90 661.71 666.10 35712190
## 676 2016-09-27 665.30 671.21 664.47 671.21 55297970
## 677 2016-09-28 670.32 672.92 667.72 669.17 52729160
## 678 2016-09-29 671.39 674.11 668.34 670.30 46358070
## 679 2016-09-30 669.34 670.55 665.65 668.44 50608970
## 680 2016-03-10 668.47 670.52 660.29 662.42 51795630
## 681 2016-04-10 661.77 665.53 657.44 661.89 54611720
## 682 2016-05-10 663.56 665.98 661.76 663.95 53091590
## 683 2016-06-10 665.23 667.15 663.12 663.12 68399400
## 684 2016-07-10 665.31 666.33 654.05 657.54 53091820
## 685 2016-10-10 657.58 657.92 647.17 647.25 50345330
## 686 2016-11-10 649.08 654.88 641.45 654.88 62447050
## 687 2016-12-10 655.03 658.02 652.71 653.25 46555780
## 688 2016-10-13 651.64 658.49 649.63 658.29 48007230
## 689 2016-10-14 656.92 662.05 656.89 657.59 54676060
## 690 2016-10-17 657.08 657.81 650.46 650.46 45874640
## 691 2016-10-18 649.08 653.87 647.77 653.32 43308560
## 692 2016-10-19 654.45 660.77 654.45 659.39 53926200
## 693 2016-10-20 661.11 661.20 655.75 657.15 48899000
## 694 2016-10-21 657.38 658.77 653.71 655.17 40155700
## 695 2016-10-24 654.17 654.17 648.29 648.29 35941170
## 696 2016-10-25 645.32 646.97 640.03 644.91 48466920
## 697 2016-10-26 643.57 645.25 639.07 641.81 34320760
## 698 2016-10-27 641.42 644.18 640.13 644.18 39581260
## 699 2016-10-28 643.66 649.31 642.82 649.27 52986100
## 700 2016-10-31 649.28 649.28 644.22 644.22 62958340
## 701 2016-01-11 643.26 644.70 641.40 643.05 56537580
## 702 2016-02-11 641.56 642.87 636.54 636.54 74559850
## 703 2016-03-11 634.28 634.28 627.90 632.81 61746600
## 704 2016-04-11 632.39 634.50 631.80 632.54 34044200
## 705 2016-07-11 633.03 639.98 632.63 639.91 43893670
## 706 2016-08-11 640.00 643.43 640.00 642.01 32641270
## 707 2016-09-11 641.84 641.84 620.35 635.42 69094570
## 708 2016-10-11 640.96 642.88 639.68 641.90 49781590
## 709 2016-11-11 641.80 642.90 639.88 642.00 49785060
## 710 2016-11-14 640.06 642.24 634.13 634.13 59746470
## 711 2016-11-15 636.01 639.38 635.20 637.51 50757950
## 712 2016-11-16 638.00 641.21 637.99 638.72 49700950
## 713 2016-11-17 638.70 639.16 635.32 636.02 58779840
## 714 2016-11-18 635.63 636.61 632.45 634.35 41885900
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## 716 2016-11-22 638.29 643.80 638.29 643.76 51291800
## 717 2016-11-23 643.82 649.65 643.60 647.59 46660940
## 718 2016-11-24 650.52 651.55 645.36 645.99 50840480
## 719 2016-11-25 648.82 648.82 641.70 643.38 51753210
## 720 2016-11-28 640.58 640.75 628.48 630.62 42236760
## 721 2016-11-29 631.22 632.89 623.32 625.78 53866760
## 722 2016-11-30 626.68 632.90 622.12 631.89 64011210
## 723 2016-01-12 633.63 636.43 631.55 631.55 48280020
## 724 2016-02-12 631.81 632.30 628.68 629.64 49523800
## 725 2016-05-12 628.60 629.85 625.32 625.32 39450670
## 726 2016-06-12 625.68 626.15 614.23 616.26 57836920
## 727 2016-07-12 614.64 617.22 614.10 615.00 50497620
## 728 2016-08-12 619.03 620.23 615.00 619.45 36170480
## 729 2016-09-12 620.48 621.86 617.29 619.64 30764500
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## 741 2016-12-27 622.05 624.17 621.77 623.46 33537880
## 742 2016-12-28 625.55 626.44 623.24 624.83 41686000
## 743 2016-12-29 627.82 627.94 626.30 626.95 42824620
## 744 2016-12-30 625.80 628.21 625.18 628.21 42150570
## 745 2017-03-01 627.65 634.18 627.58 633.89 41741770
## 746 2017-04-01 632.80 635.39 630.46 632.70 47308690
## 747 2017-05-01 633.61 635.33 632.46 634.83 45027320
## 748 2017-06-01 634.56 640.74 634.26 636.34 58776870
## 749 2017-09-01 636.82 640.02 636.82 638.40 47877970
## 750 2017-10-01 639.00 640.86 638.61 639.36 37968380
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## 752 2017-12-01 644.53 645.14 641.71 642.25 55961210
## 753 2017-01-13 642.21 643.85 640.07 640.07 38211040
## 754 2017-01-16 639.59 640.52 632.70 632.70 31884380
## 755 2017-01-17 633.42 637.54 632.70 637.54 45193950
## 756 2017-01-18 637.09 638.72 633.10 633.10 38318350
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## 760 2017-01-24 635.31 640.18 635.31 639.32 32623040
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## 762 2017-02-02 645.72 652.98 645.72 652.98 35196520
## 763 2017-03-02 656.27 657.63 651.18 651.18 41521500
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## 765 2017-07-02 654.24 657.42 653.88 656.48 50073700
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## 768 2017-10-02 659.12 659.81 657.65 658.78 43516860
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## 770 2017-02-14 664.11 665.24 660.57 663.43 53471990
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## 772 2017-02-16 670.49 676.65 667.47 667.72 75920890
## 773 2017-02-17 667.09 668.76 664.49 668.10 57274430
## 774 2017-02-20 664.90 669.50 663.11 667.56 69307110
## 775 2017-02-21 668.30 673.77 668.30 671.52 57986820
## 776 2017-02-22 671.96 672.43 666.49 668.61 66145110
## 777 2017-02-23 668.69 670.97 662.06 667.42 54385410
## 778 2017-02-24 667.27 668.30 661.37 661.81 67860460
## 779 2017-02-27 659.63 666.64 659.63 666.22 53159020
## 780 2017-02-28 667.17 667.70 657.95 657.95 37910230
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## 782 2017-02-03 655.94 658.71 653.76 653.76 41818620
## 783 2017-03-03 654.36 657.41 650.59 656.77 39680640
## 784 2017-06-03 657.26 660.79 657.26 658.61 42183040
## 785 2017-07-03 658.21 659.90 656.36 659.90 39890140
## 786 2017-08-03 659.64 665.20 658.54 662.48 36985930
## 787 2017-09-03 662.30 666.66 662.04 664.30 63381260
## 788 2017-10-03 664.59 667.49 663.49 663.49 55044650
## 789 2017-03-13 663.86 664.49 659.95 662.67 32859480
## 790 2017-03-14 663.13 667.67 662.82 665.46 30191990
## 791 2017-03-15 666.46 667.42 663.54 663.57 35475170
## 792 2017-03-16 663.85 668.07 663.85 668.07 58016400
## 793 2017-03-17 669.40 671.07 668.35 668.35 108031140
## 794 2017-03-20 672.52 678.78 672.52 676.02 46717580
## 795 2017-03-21 677.14 682.28 677.14 679.69 78365980
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## 797 2017-03-23 677.07 689.32 677.07 689.32 68421110
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## 799 2017-03-27 692.82 695.53 691.38 693.49 87536740
## 800 2017-03-28 693.91 695.04 687.41 688.31 75179560
## 801 2017-03-29 688.57 689.91 685.69 689.91 70114000
## 802 2017-03-30 692.11 696.93 692.11 692.50 73325600
## 803 2017-03-31 693.56 696.97 693.01 693.22 61350220
## 804 2017-03-04 693.42 697.32 693.42 696.73 70069850
## 805 2017-04-04 699.35 702.05 698.49 699.07 72183790
## 806 2017-05-04 697.99 698.88 691.07 691.07 75790050
## 807 2017-07-04 687.09 697.62 685.63 697.62 83395810
## 808 2017-10-04 698.49 699.86 696.66 696.72 50577090
## 809 2017-11-04 696.78 699.40 696.71 697.93 61693390
## 810 2017-12-04 697.92 698.87 689.77 692.40 76986660
## 811 2017-04-13 692.50 693.81 687.72 687.72 56767060
## 812 2017-04-14 686.45 686.45 674.94 678.45 59116960
## 813 2017-04-17 680.27 683.48 669.31 669.31 48710460
## 814 2017-04-18 669.67 675.71 665.35 675.71 51821150
## 815 2017-04-19 675.67 679.69 675.12 679.69 40459030
## 816 2017-04-20 679.43 679.70 674.30 674.30 32410170
## 817 2017-04-21 676.35 677.83 671.95 672.60 31045470
## 818 2017-04-24 671.80 673.13 667.08 667.08 35451130
## 819 2017-04-25 667.96 670.32 665.66 668.58 28035080
## 820 2017-04-26 669.12 673.53 667.96 673.53 36837960
## 821 2017-04-27 673.67 682.41 673.67 681.36 47238460
## 822 2017-04-28 678.59 683.14 677.21 680.49 61610650
## 823 2017-03-05 681.70 684.99 680.95 684.24 31696060
## 824 2017-04-05 684.80 688.75 683.44 686.29 66801570
## 825 2017-05-05 684.95 687.41 684.09 684.17 45269410
## 826 2017-08-05 683.15 684.17 681.06 681.11 59549720
## 827 2017-09-05 680.42 688.08 680.34 688.08 74906400
## 828 2017-10-05 689.07 695.66 689.07 690.53 58660530
## 829 2017-11-05 692.13 693.19 689.69 691.02 49915290
## 830 2017-12-05 691.46 693.85 690.29 690.84 45701340
## 831 2017-05-15 691.33 696.86 691.33 695.22 51266810
## 832 2017-05-16 695.86 698.67 692.91 692.91 71740890
## 833 2017-05-17 692.95 697.47 691.06 696.37 44660030
## 834 2017-05-18 693.93 701.28 693.92 695.30 57621670
## 835 2017-05-19 696.66 702.03 695.53 702.03 60063980
## 836 2017-05-22 707.27 715.28 706.84 710.86 85451740
## 837 2017-05-23 711.96 713.70 708.11 708.62 63808850
## 838 2017-05-24 710.81 719.59 710.27 718.28 66778000
## 839 2017-05-25 718.42 722.06 715.78 716.40 69062390
## 840 2017-05-26 716.24 719.36 716.07 718.87 52302490
## 841 2017-05-29 723.27 725.20 721.92 722.26 67599210
## 842 2017-05-30 722.82 723.54 711.48 711.48 70919900
## 843 2017-05-31 712.02 719.32 709.73 713.43 55599520
## 844 2017-01-06 713.63 719.76 713.63 719.76 41832640
## 845 2017-02-06 720.39 720.75 715.70 718.33 43043030
## 846 2017-05-06 719.05 724.35 719.05 721.74 51855440
## 847 2017-06-06 722.59 732.69 722.59 732.69 69348440
## 848 2017-07-06 736.17 739.51 734.95 737.18 66900020
## 849 2017-08-06 737.75 740.25 734.03 737.52 55370550
## 850 2017-09-06 738.47 743.90 738.47 740.20 56507810
## 851 2017-12-06 740.65 742.00 735.26 736.86 45624010
## 852 2017-06-13 737.03 741.39 734.53 741.39 48572530
## 853 2017-06-14 744.42 748.04 743.67 745.53 67557960
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## 858 2017-06-21 758.49 759.84 749.47 759.84 69936630
## 859 2017-06-22 759.65 761.62 757.13 757.94 57511770
## 860 2017-06-23 757.44 758.98 752.69 758.24 49703010
## 861 2017-06-26 759.90 762.27 757.98 760.80 48276150
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## 864 2017-06-29 759.13 763.14 758.94 761.21 48071300
## 865 2017-06-30 763.63 766.29 763.00 765.41 61310260
## 866 2017-03-07 765.52 770.56 765.52 765.80 63169100
## 867 2017-04-07 765.88 767.28 760.90 763.92 62772690
## 868 2017-05-07 764.91 765.87 761.28 765.87 48991410
## 869 2017-06-07 768.80 771.13 768.37 770.58 65784170
## 870 2017-07-07 771.89 771.98 761.61 761.61 72855260
## 871 2017-10-07 761.69 761.69 748.06 750.79 66980610
## 872 2017-11-07 750.40 753.20 743.13 752.75 55321490
## 873 2017-12-07 756.08 758.72 752.27 757.57 49813840
## 874 2017-07-13 759.80 761.36 755.81 761.36 47468500
## 875 2017-07-14 762.77 764.53 759.01 759.97 46729800
## 876 2017-07-17 758.53 758.74 741.66 745.59 68032600
## 877 2017-07-18 739.25 743.00 733.60 741.32 54153410
## 878 2017-07-19 745.44 745.73 737.77 737.77 45712870
## 879 2017-07-20 735.45 736.64 732.08 736.64 47891480
## 880 2017-07-21 737.37 739.48 728.47 728.47 45317610
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## 884 2017-07-27 744.50 747.08 741.96 743.70 34691760
## 885 2017-07-28 742.77 749.86 742.20 749.86 49465260
## 886 2017-07-31 748.88 756.24 747.61 756.24 68478950
## 887 2017-01-08 755.50 758.81 754.64 758.36 52335280
## 888 2017-02-08 753.85 759.52 750.75 756.04 60066700
## 889 2017-03-08 755.70 761.17 755.70 757.88 56565450
## 890 2017-04-08 757.79 761.44 757.79 761.44 44275930
## 891 2017-07-08 762.13 766.12 761.20 763.08 43393330
## 892 2017-08-08 764.70 764.70 757.47 758.42 43868410
## 893 2017-09-08 755.32 755.32 741.36 741.36 61759530
## 894 2017-10-08 737.72 745.34 737.72 743.42 39796190
## 895 2017-11-08 742.18 746.42 739.30 744.99 44924810
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## 899 2017-08-17 749.35 750.58 743.20 743.20 46159500
## 900 2017-08-18 739.31 745.91 738.33 744.30 33252410
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## 902 2017-08-22 743.86 743.86 736.88 738.20 30050720
## 903 2017-08-23 739.46 743.10 736.71 743.10 26206260
## 904 2017-08-24 743.23 749.82 742.34 747.72 33630890
## 905 2017-08-25 746.87 751.14 746.87 751.14 32784240
## 906 2017-08-28 751.59 758.02 749.20 758.02 42763860
## 907 2017-08-29 757.84 758.76 754.59 754.59 44549640
## 908 2017-08-30 756.49 764.57 755.32 764.57 34232490
## 909 2017-08-31 765.47 772.91 764.22 770.08 52330590
## 910 2017-01-09 770.97 774.76 770.39 774.06 35505600
## 911 2017-05-09 775.28 778.71 771.68 777.02 36892990
## 912 2017-06-09 776.87 777.99 772.63 776.97 36720990
## 913 2017-07-09 777.16 780.54 776.00 779.20 41321790
## 914 2017-08-09 780.62 786.85 780.18 784.74 36355220
## 915 2017-11-09 785.06 789.53 779.58 779.58 37682800
## 916 2017-12-09 777.55 783.58 775.81 782.54 40952630
## 917 2017-09-13 785.46 786.96 783.56 786.43 37972820
## 918 2017-09-14 786.82 793.16 786.82 789.41 40608490
## 919 2017-09-15 786.22 789.88 784.49 789.49 47588250
## 920 2017-09-18 792.16 795.32 789.83 793.70 44590000
## 921 2017-09-19 794.15 797.54 792.68 792.68 42234580
## 922 2017-09-20 793.93 793.98 789.43 790.48 33853130
## 923 2017-09-21 790.46 791.00 786.00 786.41 38420390
## 924 2017-09-22 786.51 791.65 785.99 789.70 37752620
## 925 2017-09-25 789.81 791.16 785.69 789.89 35485110
## 926 2017-09-26 791.03 791.05 785.24 791.05 45389610
## 927 2017-09-27 788.02 791.43 787.61 788.31 34118620
## 928 2017-09-28 788.15 795.95 788.15 790.75 44993620
## 929 2017-09-29 791.40 797.26 791.40 792.72 36410220
## 930 2017-02-10 793.64 796.03 790.37 790.70 28268530
## 931 2017-03-10 791.71 793.19 785.10 787.02 35763950
## 932 2017-04-10 786.17 795.76 786.12 795.76 30909740
## 933 2017-05-10 797.41 801.36 796.71 797.42 48801950
## 934 2017-06-10 797.82 800.73 796.23 800.42 35233530
## 935 2017-09-10 802.89 803.23 798.96 801.49 36338320
## 936 2017-10-10 800.23 805.30 798.63 805.30 38304820
## 937 2017-11-10 804.84 810.12 804.48 806.83 51017440
## 938 2017-12-10 807.63 813.21 806.65 809.60 43690510
## 939 2017-10-13 807.90 815.47 807.45 815.47 36085610
## 940 2017-10-16 815.27 817.72 811.39 811.85 43241140
## 941 2017-10-17 811.73 818.48 811.24 818.48 47568950
## 942 2017-10-18 819.36 821.29 815.06 816.84 54134480
## 943 2017-10-19 817.62 821.08 815.29 817.39 46206790
## 944 2017-10-20 816.99 821.54 813.38 813.99 47718220
## 945 2017-10-23 811.49 813.23 806.58 809.36 43372170
## 946 2017-10-24 807.60 815.24 804.43 815.24 33007760
## 947 2017-10-25 816.05 821.61 812.98 821.45 33404710
## 948 2017-10-26 820.01 825.90 815.16 822.53 38746780
## 949 2017-10-27 823.16 834.91 820.16 834.91 37048300
## 950 2017-10-30 835.33 841.32 835.33 837.52 51097930
## 951 2017-10-31 836.65 839.79 829.72 831.62 38090110
## 952 2017-01-11 832.10 835.44 831.63 835.38 47545760
## 953 2017-02-11 835.36 843.34 826.71 827.66 48545310
## 954 2017-03-11 828.44 840.04 826.59 840.04 41463180
## 955 2017-06-11 842.91 845.67 839.88 844.73 50114170
## 956 2017-07-11 846.17 850.69 842.67 846.03 48624420
## 957 2017-08-11 849.56 856.47 848.23 853.57 60191020
## 958 2017-09-11 857.26 858.93 852.06 853.05 48698660
## 959 2017-10-11 850.25 861.36 850.10 858.55 59483530
## 960 2017-11-13 861.00 868.58 861.00 868.11 56424440
## 961 2017-11-14 868.59 873.74 861.96 871.08 55709260
## 962 2017-11-15 870.85 880.72 868.75 877.58 53387930
## 963 2017-11-16 875.20 890.01 875.20 890.01 57892150
## 964 2017-11-17 890.49 897.39 882.81 887.41 53201860
## 965 2017-11-20 886.49 899.31 883.70 899.31 46446580
## 966 2017-11-21 902.76 923.57 902.76 910.54 73809320
## 967 2017-11-22 912.46 922.18 909.95 922.18 71917540
## 968 2017-11-23 926.83 933.45 916.61 922.92 68969900
## 969 2017-11-24 920.32 928.41 914.95 926.21 57989760
## 970 2017-11-27 923.80 939.36 923.00 930.90 61672700
## 971 2017-11-28 931.21 935.97 926.12 935.74 54896360
## 972 2017-11-29 938.18 946.55 934.64 946.55 67067020
## 973 2017-11-30 951.06 955.17 943.05 943.05 70833940
## 974 2017-01-12 943.08 953.22 943.08 952.46 49064220
## 975 2017-04-12 954.31 968.53 954.31 966.44 76804810
## 976 2017-05-12 968.58 970.35 944.07 944.07 80813330
## 977 2017-06-12 940.82 941.32 919.99 939.06 75799400
## 978 2017-07-12 942.07 945.52 923.23 928.74 50048760
## 979 2017-08-12 928.32 935.51 920.97 930.25 43797010
## 980 2017-11-12 928.39 928.39 908.29 908.29 49025420
## 981 2017-12-12 919.04 922.24 883.52 914.82 73926010
## 982 2017-12-13 919.58 920.38 911.01 913.33 39786810
## 983 2017-12-14 913.30 928.21 913.30 928.21 34120530
## 984 2017-12-15 925.65 933.09 925.20 926.70 61767940
## 985 2017-12-18 937.81 950.81 937.64 950.81 52511530
## 986 2017-12-19 955.99 959.33 947.24 947.62 55559460
## 987 2017-12-20 947.51 954.96 942.07 948.78 52767110
## 988 2017-12-21 944.90 953.26 936.53 936.53 50096640
## 989 2017-12-22 939.48 946.01 937.75 945.88 49827300
## 990 2017-12-25 947.06 950.64 944.77 949.28 34740270
## 991 2017-12-26 951.27 955.81 948.68 955.73 43576440
## 992 2017-12-27 957.76 962.33 955.14 958.02 65128550
## 993 2017-12-28 960.38 968.40 957.19 966.91 54597790
## 994 2017-12-29 968.28 980.47 967.20 975.52 65828140
## 995 2018-02-01 977.20 992.72 975.49 992.72 74433420
## 996 2018-03-01 996.23 1011.84 995.74 1004.66 86286030
## 997 2018-04-01 1007.60 1014.17 1006.96 1014.15 91542860
## 998 2018-05-01 1014.42 1014.42 1005.10 1007.73 86905060
## 999 2018-08-01 1006.25 1023.50 1000.29 1023.50 107211920
## 1000 2018-09-01 1028.05 1040.58 1019.52 1039.64 121152560
## 1001 2018-10-01 1040.61 1047.59 1033.54 1039.70 143073010
## 1002 2018-11-01 1039.70 1050.23 1031.43 1047.20 92977260
## 1003 2018-12-01 1050.08 1058.20 1044.85 1049.86 125705770
## 1004 2018-01-15 1050.35 1063.11 1042.64 1063.11 105735110
## 1005 2018-01-16 1056.95 1063.46 1047.90 1061.78 117057510
## 1006 2018-01-17 1060.36 1061.49 1030.00 1030.00 109084310
## 1007 2018-01-18 1028.39 1048.56 1013.11 1048.56 105765710
## 1008 2018-01-19 1050.01 1062.13 1046.92 1053.47 113277900
## 1009 2018-01-22 1059.20 1084.09 1059.19 1082.71 91783390
## 1010 2018-01-25 1093.49 1109.98 1088.69 1095.52 174651080
## 1011 2018-01-26 1096.09 1112.59 1088.00 1104.42 94375760
## 1012 2018-01-29 1108.98 1118.08 1095.75 1096.78 108388270
## 1013 2018-01-30 1087.57 1099.16 1078.98 1099.16 105160720
## 1014 2018-01-31 1097.38 1113.37 1094.77 1095.90 104403310
## 1015 2018-01-02 1098.30 1098.30 1076.09 1086.90 84194680
## 1016 2018-02-02 1087.24 1090.40 1075.65 1090.40 66558440
## 1017 2018-05-02 1081.70 1081.70 1035.02 1035.02 92445200
## 1018 2018-06-02 1013.70 1015.56 969.01 1007.72 144851080
## 1019 2018-07-02 1034.76 1040.23 1025.30 1030.91 64845810
## 1020 2018-08-02 1024.13 1031.98 1013.56 1013.56 45313480
## 1021 2018-09-02 983.60 996.77 966.78 996.77 64741560
## 1022 2018-12-02 1001.70 1034.76 1001.70 1034.76 56577710
## 1023 2018-02-13 1043.44 1055.86 1043.44 1054.09 52962090
## 1024 2018-02-21 1064.55 1081.82 1063.73 1075.47 74172940
## 1025 2018-02-22 1068.84 1078.48 1063.46 1064.28 85113240
## 1026 2018-02-23 1073.56 1089.96 1068.75 1089.96 85270820
## 1027 2018-02-26 1101.66 1113.01 1099.71 1099.71 97630000
## 1028 2018-02-27 1108.87 1110.11 1094.17 1106.09 76580980
## 1029 2018-02-28 1096.30 1113.59 1095.98 1108.23 102125870
## 1030 2018-01-03 1106.03 1116.79 1098.51 1105.84 94020940
## 1031 2018-02-03 1095.31 1109.51 1092.18 1106.92 73543190
## 1032 2018-05-03 1113.71 1116.80 1080.83 1080.83 105069780
## 1033 2018-06-03 1091.98 1103.31 1075.78 1103.31 74498780
## 1034 2018-07-03 1102.85 1106.89 1084.53 1092.17 71108980
## 1035 2018-08-03 1092.29 1109.29 1091.70 1105.03 48218080
## 1036 2018-09-03 1107.83 1117.90 1102.07 1106.54 65730040
## 1037 2018-12-03 1106.54 1116.38 1104.85 1106.97 73669840
## 1038 2018-03-13 1106.97 1112.98 1098.58 1111.38 77315100
## 1039 2018-03-14 1111.58 1121.74 1111.58 1115.00 84857310
## 1040 2018-03-15 1114.89 1114.90 1105.26 1110.26 72267400
## 1041 2018-03-16 1112.44 1118.36 1109.85 1112.93 108041750
## 1042 2018-03-19 1117.13 1134.75 1117.13 1130.26 72805230
## 1043 2018-03-20 1130.09 1139.23 1126.00 1134.19 69643210
## 1044 2018-03-21 1134.79 1148.64 1134.79 1147.26 77056320
## 1045 2018-03-22 1147.90 1159.37 1144.44 1144.58 71823070
## 1046 2018-03-23 1144.18 1144.18 1113.70 1128.93 95733110
## 1047 2018-03-26 1129.05 1151.32 1123.90 1146.73 69781490
## 1048 2018-03-27 1146.86 1162.35 1146.86 1150.30 60425680
## 1049 2018-03-28 1150.33 1158.75 1144.71 1151.09 41767000
## 1050 2018-03-29 1151.65 1155.65 1141.65 1144.74 39960850
## 1051 2018-03-30 1144.74 1154.59 1136.20 1153.08 49196940
## 1052 2018-02-04 1153.11 1174.13 1153.11 1171.21 64577290
## 1053 2018-03-04 1171.89 1173.18 1156.91 1160.97 73015130
## 1054 2018-04-04 1161.24 1176.22 1161.24 1165.75 59705780
## 1055 2018-05-04 1165.75 1175.64 1163.76 1169.12 49974420
## 1056 2018-06-04 1169.12 1180.60 1170.11 1174.37 74390840
## 1057 2018-09-04 1174.02 1181.58 1169.56 1177.68 79977840
## 1058 2018-10-04 1177.68 1185.06 1161.71 1168.06 77682020
## 1059 2018-11-04 1168.41 1172.44 1137.20 1137.20 87627260
## 1060 2018-12-04 1136.76 1143.50 1121.47 1143.50 63713270
## 1061 2018-04-13 1146.67 1153.95 1131.61 1134.21 64877280
## 1062 2018-04-16 1133.00 1136.80 1122.26 1128.03 49041710
## 1063 2018-04-17 1128.11 1136.17 1119.70 1130.32 47627900
## 1064 2018-04-18 1131.56 1136.98 1115.18 1115.70 45880100
## 1065 2018-04-19 1114.98 1115.00 1066.09 1066.09 75220680
## 1066 2018-04-20 1066.33 1089.62 1047.71 1089.45 56317850
## 1067 2018-04-23 1091.18 1098.58 1055.37 1055.37 67286800
## 1068 2018-04-24 1055.24 1060.92 1027.74 1053.99 67319960
## 1069 2018-04-26 1055.95 1057.20 1011.51 1018.97 78320450
## 1070 2018-04-27 1018.06 1029.36 1007.39 1027.97 60636760
## 1071 2018-02-05 1029.76 1033.20 1009.98 1012.84 57649930
## 1072 2018-03-05 1011.83 1012.12 989.00 1010.35 74959430
## 1073 2018-04-05 1012.44 1023.16 1006.99 1010.89 46195320
## 1074 2018-07-05 1010.99 1048.03 1010.99 1048.03 52321070
## 1075 2018-08-05 1047.88 1059.68 1042.59 1047.83 53713130
## 1076 2018-09-05 1047.83 1058.09 1037.10 1046.39 41448830
## 1077 2018-10-05 1046.90 1047.50 1009.79 1019.69 59664030
## 1078 2018-11-05 1019.69 1031.77 1003.47 1030.79 55925890
## 1079 2018-05-14 1031.18 1051.45 1029.92 1051.45 43654810
## 1080 2018-05-15 1055.82 1067.61 1052.16 1055.49 47144640
## 1081 2018-05-16 1055.31 1055.31 1031.33 1034.30 39849340
## 1082 2018-05-17 1034.20 1035.45 1007.09 1007.09 42807500
## 1083 2018-05-18 1007.05 1023.23 989.20 1022.21 46157080
## 1084 2018-05-21 1023.28 1027.85 997.21 997.21 40480580
## 1085 2018-05-22 996.19 996.19 947.70 958.95 64672780
## 1086 2018-05-23 957.72 973.07 945.01 968.54 52816560
## 1087 2018-05-24 968.93 974.17 951.17 960.55 43995840
## 1088 2018-05-25 958.74 960.57 936.32 936.32 49219100
## 1089 2018-05-28 932.00 932.00 894.31 898.00 73635380
## 1090 2018-05-29 897.13 932.82 881.91 924.90 64474410
## 1091 2018-05-30 924.90 925.18 902.00 918.64 53178740
## 1092 2018-05-31 917.94 950.49 914.57 947.31 67378240
## 1093 2018-01-06 949.13 970.81 948.69 969.15 68484770
## 1094 2018-04-06 970.81 997.00 970.81 996.67 59532250
## 1095 2018-05-06 996.67 1008.83 996.15 1007.32 65884640
## 1096 2018-06-06 1007.51 1023.38 995.29 1022.72 60797020
## 1097 2018-07-06 1023.95 1034.72 1020.77 1026.75 60335720
## 1098 2018-08-06 1026.76 1028.42 1017.90 1025.87 46069920
## 1099 2018-11-06 1025.71 1034.85 1016.22 1024.85 49970780
## 1100 2018-12-06 1021.02 1021.02 989.53 1008.76 79033540
## 1101 2018-06-13 1008.32 1019.32 1005.58 1018.59 34757120
## 1102 2018-06-14 1018.07 1022.95 1004.31 1004.31 43470320
## 1103 2018-06-15 1004.14 1005.71 994.38 1005.04 55843590
## 1104 2018-06-18 1004.97 1006.58 970.35 970.35 51490330
## 1105 2018-06-19 970.06 970.06 919.09 945.11 87420100
## 1106 2018-06-20 945.30 966.86 936.83 966.86 39846540
## 1107 2018-06-21 966.91 966.91 950.06 955.75 30312030
## 1108 2018-06-22 954.70 974.42 945.59 973.05 39415100
## 1109 2018-06-25 973.45 989.18 973.45 982.09 34365490
## 1110 2018-06-26 981.97 981.97 959.29 973.90 24306300
## 1111 2018-06-27 973.89 976.93 961.29 961.29 31801350
## 1112 2018-06-28 962.93 967.28 943.12 947.03 47414270
## 1113 2018-06-29 947.03 951.74 939.70 947.55 35643460
## 1114 2018-02-07 945.94 945.94 917.80 930.12 54615820
## 1115 2018-03-07 930.12 931.12 891.97 891.97 67908770
## 1116 2018-04-07 892.01 901.64 880.37 900.89 44415900
## 1117 2018-05-07 901.25 905.51 875.17 883.77 44755220
## 1118 2018-06-07 880.17 910.14 870.34 905.62 58312610
## 1119 2018-09-07 905.97 916.84 896.79 898.73 40288420
## 1120 2018-10-07 898.09 906.25 897.96 897.96 33122720
## 1121 2018-11-07 894.16 894.16 871.22 881.14 53412900
## 1122 2018-12-07 877.68 893.15 870.53 883.87 33199790
## 1123 2018-07-13 886.17 902.14 886.17 899.45 38297470
## 1124 2018-07-16 901.68 910.82 897.03 904.18 36480810
## 1125 2018-07-17 903.87 915.53 892.39 915.53 44273370
## 1126 2018-07-18 915.69 935.42 915.23 935.42 54820940
## 1127 2018-07-19 935.54 946.39 934.20 941.09 47892560
## 1128 2018-07-20 941.09 941.41 926.50 926.50 56213210
## 1129 2018-07-23 927.01 945.13 926.56 931.31 64550220
## 1130 2018-07-24 931.20 932.83 916.19 923.53 52018870
## 1131 2018-07-25 923.55 931.55 915.68 915.68 46045930
## 1132 2018-07-26 915.70 921.33 907.60 921.33 45645350
## 1133 2018-07-27 923.02 930.57 918.37 927.19 42561810
## 1134 2018-07-30 927.36 940.25 927.36 939.60 49711210
## 1135 2018-07-31 938.73 948.38 934.39 944.38 60275210
## 1136 2018-01-08 944.31 947.08 935.63 939.31 46101770
## 1137 2018-02-08 939.85 939.85 924.38 937.86 51675220
## 1138 2018-03-08 938.51 949.93 938.51 941.12 43962570
## 1139 2018-06-08 941.13 943.98 935.75 939.84 40724720
## 1140 2018-07-08 939.81 941.63 933.77 936.92 41887000
## 1141 2018-08-08 937.69 946.07 937.58 945.89 42894910
## 1142 2018-09-08 945.78 954.38 942.83 943.91 60492130
## 1143 2018-10-08 942.85 948.69 936.44 948.32 42915110
## 1144 2018-08-13 946.75 960.02 941.95 960.02 82537140
## 1145 2018-08-14 960.29 968.62 959.23 965.60 57362220
## 1146 2018-08-15 965.61 969.80 947.78 947.82 62334260
## 1147 2018-08-16 946.91 950.18 932.27 950.18 63716490
## 1148 2018-08-17 950.18 959.39 949.23 949.23 45071520
## 1149 2018-08-20 949.23 952.16 942.33 945.65 55600490
## 1150 2018-08-21 946.55 955.27 944.88 955.27 47813300
## 1151 2018-08-22 956.00 963.17 956.00 959.63 50597700
## 1152 2018-08-23 960.09 963.91 957.98 960.94 42645800
## 1153 2018-08-24 960.22 963.09 955.16 960.42 56892380
## 1154 2018-08-27 960.43 969.97 960.43 966.55 64177160
## 1155 2018-08-28 966.34 972.40 966.34 971.01 60469630
## 1156 2018-08-29 971.12 972.32 964.00 964.99 44587960
## 1157 2018-08-30 964.99 975.43 960.86 975.43 54009950
## 1158 2018-08-31 975.48 979.11 969.23 969.23 59641300
## 1159 2018-04-09 969.23 971.30 951.14 951.14 51817530
## 1160 2018-05-09 951.09 953.37 938.53 941.00 53502870
## 1161 2018-06-09 941.00 944.73 931.99 932.12 45113490
## 1162 2018-07-09 932.10 945.59 931.19 945.59 46814260
## 1163 2018-10-09 945.04 948.31 942.68 943.31 50012320
## 1164 2018-11-09 943.67 959.09 940.78 958.91 47924060
## 1165 2018-12-09 959.20 967.78 958.67 958.67 55984740
## 1166 2018-09-13 958.63 963.72 955.64 957.17 48964120
## 1167 2018-09-14 958.01 965.23 958.01 960.33 57050340
## 1168 2018-09-17 960.33 960.94 951.38 953.79 43725890
## 1169 2018-09-18 953.45 959.75 945.93 959.75 58886410
## 1170 2018-09-19 960.01 969.34 960.01 962.70 66978840
## 1171 2018-09-20 962.70 971.48 962.26 971.18 56330910
## 1172 2018-09-21 971.12 978.77 968.73 974.43 117096540
## 1173 2018-09-24 974.47 986.30 974.47 985.59 55248400
## 1174 2018-09-25 985.57 988.23 980.44 985.11 53103760
## 1175 2018-09-26 985.26 989.54 980.80 984.39 60311360
## 1176 2018-09-27 985.28 992.10 984.15 989.45 51372600
## 1177 2018-09-28 989.98 996.60 989.98 994.73 89440260
## 1178 2018-01-10 994.76 1001.14 990.00 990.41 81255010
## 1179 2018-02-10 990.26 992.77 984.54 987.88 66203650
## 1180 2018-03-10 987.46 992.87 986.16 990.60 57100270
## 1181 2018-04-10 990.49 993.78 989.06 993.61 74038630
## 1182 2018-05-10 993.61 993.42 980.75 980.75 74563800
## 1183 2018-08-10 979.27 979.27 968.61 970.28 71307590
## 1184 2018-09-10 970.21 974.29 966.68 967.37 63817220
## 1185 2018-10-10 967.37 970.51 961.70 966.27 63521280
## 1186 2018-11-10 959.12 959.12 911.69 920.02 136876030
## 1187 2018-12-10 918.83 943.73 908.74 943.49 78654890
## 1188 2018-10-15 943.51 943.62 927.60 928.55 41833000
## 1189 2018-10-16 928.46 939.41 926.96 939.41 42663640
## 1190 2018-10-17 940.29 949.41 940.29 945.91 51482610
## 1191 2018-10-18 945.92 945.92 936.22 937.54 45079700
## 1192 2018-10-19 937.47 937.47 920.28 931.69 47143040
## 1193 2018-10-22 931.66 938.02 922.75 922.75 41144780
## 1194 2018-10-23 919.49 919.49 893.34 908.00 72791480
## 1195 2018-10-24 908.00 909.40 896.50 896.50 48110900
## 1196 2018-10-25 896.39 896.39 860.13 888.86 56983320
## 1197 2018-10-26 890.71 897.48 881.06 881.06 45672420
## 1198 2018-10-29 881.06 881.87 870.36 874.43 41645700
## 1199 2018-10-30 872.69 881.83 868.29 874.06 37875270
## 1200 2018-10-31 874.06 901.93 878.68 901.57 60484190
## 1201 2018-01-11 901.57 901.17 885.58 887.72 39445040
## 1202 2018-02-11 889.81 905.65 889.81 903.43 55629860
## 1203 2018-05-11 903.24 904.83 894.88 904.83 33823220
## 1204 2018-06-11 905.34 909.19 899.61 899.61 37075370
## 1205 2018-07-11 900.47 903.15 892.79 899.25 45544000
## 1206 2018-08-11 901.42 909.69 899.65 900.40 31118060
## 1207 2018-09-11 900.40 900.14 885.65 885.65 38609740
## 1208 2018-12-11 883.49 889.06 875.29 888.20 33821800
## 1209 2018-11-13 888.20 884.98 873.87 873.87 39563470
## 1210 2018-11-14 873.87 880.65 868.63 871.55 46154090
## 1211 2018-11-15 871.55 874.87 859.86 864.98 42382820
## 1212 2018-11-16 865.03 874.94 863.89 869.24 40658870
## 1213 2018-11-19 869.24 888.76 869.70 888.76 39845470
## 1214 2018-11-20 886.36 893.09 883.80 893.09 43543750
## 1215 2018-11-21 888.54 897.10 880.83 897.10 38917250
## 1216 2018-11-22 897.28 900.77 896.18 898.90 39224680
## 1217 2018-11-23 898.05 899.37 889.78 890.62 37254570
## 1218 2018-11-26 889.88 896.12 886.76 895.05 25039270
## 1219 2018-11-27 895.07 903.78 893.96 895.30 32748380
## 1220 2018-11-28 894.66 901.40 894.27 901.40 29503510
## 1221 2018-11-29 901.48 910.48 897.58 897.58 40276100
## 1222 2018-11-30 897.48 898.69 890.41 894.79 54625390
## 1223 2018-03-12 896.50 921.72 896.50 921.72 63629050
## 1224 2018-04-12 921.74 929.33 920.20 927.46 52507190
## 1225 2018-05-12 927.39 928.90 915.90 925.68 61081880
## 1226 2018-06-12 925.58 928.64 916.63 922.86 55213240
## 1227 2018-07-12 923.90 933.29 923.90 929.59 51431880
## 1228 2018-10-12 928.96 928.96 921.59 922.82 48776970
## 1229 2018-11-12 922.58 925.43 915.68 922.34 43565480
## 1230 2018-12-12 922.43 927.70 922.41 927.70 37560590
## 1231 2018-12-13 928.21 935.33 927.92 928.90 46592070
## 1232 2018-12-14 928.84 928.84 918.19 918.79 48405980
## 1233 2018-12-17 914.97 914.97 901.33 901.41 47291390
## 1234 2018-12-18 901.31 901.31 881.76 890.68 52306770
## 1235 2018-12-19 890.78 891.69 877.63 882.79 52148460
## 1236 2018-12-20 880.40 883.76 876.15 877.03 38045070
## 1237 2018-12-21 877.02 877.02 866.09 873.09 45669710
## 1238 2018-12-24 873.14 879.74 872.99 873.64 31104560
## 1239 2018-12-25 873.56 873.56 850.33 865.69 51475970
## 1240 2018-12-26 865.69 867.88 860.52 861.02 32704590
## 1241 2018-12-27 861.53 872.73 861.53 865.45 35751060
## 1242 2018-12-28 866.04 868.62 854.99 854.99 38254570
## 1243 2019-02-01 854.99 864.64 852.79 855.66 34100240
## 1244 2019-03-01 855.66 856.21 834.81 838.79 50053420
## 1245 2019-04-01 838.79 842.05 821.83 840.17 37439840
## 1246 2019-07-01 840.17 858.69 843.95 851.41 30671600
## 1247 2019-08-01 851.20 852.92 841.86 845.43 27923540
## 1248 2019-09-01 845.53 856.87 845.25 855.51 37200330
## 1249 2019-10-01 855.39 859.93 852.96 857.95 32827000
## 1250 2019-11-01 857.84 862.88 857.67 860.30 34662900
## 1251 2019-01-14 860.40 860.40 854.71 859.42 32413030
## 1252 2019-01-15 859.42 865.26 856.04 865.10 33588140
## 1253 2019-01-16 865.00 868.41 861.18 864.29 33032340
## 1254 2019-01-17 864.15 864.15 853.34 853.34 31743610
## 1255 2019-01-18 853.34 859.95 853.50 854.79 28302650
## 1256 2019-01-21 855.00 865.59 855.00 864.10 46174530
## 1257 2019-01-22 864.10 865.92 859.09 859.17 36096510
## 1258 2019-01-23 859.26 864.83 856.77 861.73 35615120
## 1259 2019-01-24 861.63 866.49 861.04 865.52 35100380
## 1260 2019-01-25 865.44 869.53 865.44 867.70 34851070
## 1261 2019-01-28 867.60 871.56 865.90 868.76 24718870
## 1262 2019-01-29 868.81 872.03 863.22 872.03 30044560
## 1263 2019-01-30 872.01 872.01 867.92 869.16 33258320
## 1264 2019-01-31 869.38 874.09 863.85 866.06 46946380
## 1265 2019-01-02 866.01 868.15 859.38 859.81 41898560
## 1266 2019-11-02 862.20 878.67 862.20 878.67 39935410
## 1267 2019-12-02 878.69 890.16 878.68 888.33 62154530
## 1268 2019-02-13 888.33 897.42 887.60 897.42 65644140
## 1269 2019-02-14 897.42 904.11 897.30 900.12 50274750
## 1270 2019-02-15 900.14 903.11 895.13 897.74 50970670
## 1271 2019-02-18 899.75 904.93 899.74 904.93 51220040
## 1272 2019-02-19 905.09 915.31 905.09 907.82 78092810
## 1273 2019-02-20 907.82 913.51 906.64 911.80 53104240
## 1274 2019-02-21 912.83 926.09 911.38 926.09 63245360
## 1275 2019-02-22 926.30 934.65 920.78 930.16 68392120
## 1276 2019-02-25 929.57 944.01 929.50 939.47 68474130
## 1277 2019-02-26 939.56 941.45 922.93 929.51 58439700
## 1278 2019-02-27 929.51 935.76 928.59 930.54 54958520
## 1279 2019-02-28 930.37 930.81 904.98 904.98 71562220
## 1280 2019-01-03 904.96 915.99 904.96 915.32 39636310
## 1281 2019-04-03 915.39 929.28 915.39 928.42 51481790
## 1282 2019-05-03 928.25 931.23 922.05 923.66 56228360
## 1283 2019-06-03 923.66 926.32 916.89 923.58 36434210
## 1284 2019-07-03 923.77 930.79 922.29 922.29 51391120
## 1285 2019-08-03 922.16 922.16 913.39 914.74 41836570
## 1286 2019-11-03 915.00 918.73 911.88 916.24 32014260
## 1287 2019-12-03 919.21 929.86 919.21 929.86 59909910
## 1288 2019-03-13 929.86 939.17 929.93 935.41 72240930
## 1289 2019-03-14 935.41 937.82 931.33 934.42 51531570
## 1290 2019-03-15 934.87 934.87 924.45 927.06 72931340
## 1291 2019-03-18 927.16 935.16 926.85 932.75 61794930
## 1292 2019-03-19 933.56 935.67 924.91 927.56 56478250
## 1293 2019-03-20 927.54 927.54 914.77 924.12 59408870
## 1294 2019-03-21 924.22 928.32 907.87 907.87 53919570
## 1295 2019-03-22 907.94 914.69 906.64 912.27 46663850
## 1296 2019-03-25 912.10 912.10 889.17 893.40 53507330
## 1297 2019-03-26 893.78 901.81 892.47 894.58 38004810
## 1298 2019-03-27 895.71 903.35 895.71 901.76 32702110
## 1299 2019-03-28 901.51 903.88 898.17 901.65 31095800
## 1300 2019-03-29 901.65 906.84 900.13 900.13 45013980
## 1301 2019-01-04 900.17 905.94 900.17 905.87 40144870
## 1302 2019-02-04 907.18 912.94 902.43 903.59 35223770
## 1303 2019-03-04 903.59 903.05 897.47 901.50 34513830
## 1304 2019-04-04 901.50 906.29 900.97 904.33 32078960
## 1305 2019-05-04 904.33 905.76 902.77 904.69 30171520
## 1306 2019-08-04 904.92 907.20 900.97 906.55 33275430
## 1307 2019-09-04 906.46 908.94 898.80 900.07 42510820
## 1308 2019-10-04 899.91 900.07 887.75 893.19 34637240
## 1309 2019-11-04 893.60 896.68 892.62 896.04 24748350
## 1310 2019-12-04 895.95 896.04 891.71 893.10 27813000
## 1311 2019-04-16 890.81 893.10 877.38 887.76 36537920
## 1312 2019-04-17 886.65 891.78 885.64 885.66 34638940
## 1313 2019-04-18 884.29 887.48 876.20 877.02 39355710
## 1314 2019-04-19 877.07 884.77 877.02 880.52 26150620
## 1315 2019-04-22 880.90 880.90 873.55 878.23 34285820
## 1316 2019-04-23 878.38 881.67 875.05 878.29 37895280
## 1317 2019-04-24 877.97 889.02 877.97 888.65 35004620
## 1318 2019-04-25 888.57 888.91 883.72 885.65 29184040
## 1319 2019-04-26 885.47 890.69 882.58 890.55 34567810
## 1320 2019-02-05 890.60 893.89 889.61 893.87 36439930
## 1321 2019-03-05 893.80 895.70 889.20 895.42 47857200
## 1322 2019-06-05 893.83 895.42 875.71 878.80 41223290
## 1323 2019-07-05 880.06 885.23 876.18 877.02 36430910
## 1324 2019-08-05 872.22 877.02 867.18 872.78 38545850
## 1325 2019-09-05 872.71 875.89 868.73 871.50 39316830
## 1326 2019-10-05 871.28 877.59 871.28 876.45 34857290
## 1327 2019-05-13 876.16 879.64 874.68 879.64 37914590
## 1328 2019-05-14 879.14 882.67 871.96 882.67 43976340
## 1329 2019-05-15 882.99 893.68 882.67 893.22 46181060
## 1330 2019-05-16 893.70 896.34 891.93 891.93 39252920
## 1331 2019-05-17 892.93 893.44 888.56 890.53 40028260
## 1332 2019-05-20 890.16 901.06 888.12 901.06 42542890
## 1333 2019-05-21 901.79 907.64 900.97 901.36 43008810
## 1334 2019-05-22 901.49 906.99 897.27 897.66 43386130
## 1335 2019-05-23 897.66 899.02 892.08 895.07 30514000
## 1336 2019-05-24 894.22 898.24 884.48 884.48 44872700
## 1337 2019-05-27 884.29 889.45 883.95 889.20 29654840
## 1338 2019-05-28 888.80 891.61 883.53 885.27 30927150
## 1339 2019-05-29 886.12 886.98 882.00 883.52 33829930
## 1340 2019-05-30 883.51 888.68 879.58 883.37 29873700
## 1341 2019-05-31 883.39 884.75 875.77 876.29 34297640
## 1342 2019-03-06 875.64 876.29 858.64 864.08 51473370
## 1343 2019-04-06 864.27 868.67 857.94 864.35 32528920
## 1344 2019-05-06 866.79 871.91 863.69 863.69 27109050
## 1345 2019-06-06 863.81 865.16 851.47 861.31 38238280
## 1346 2019-07-06 860.64 869.56 860.64 869.56 33454350
## 1347 2019-10-06 869.68 877.45 866.79 872.49 44465190
## 1348 2019-11-06 872.49 874.32 870.00 870.91 29455250
## 1349 2019-12-06 870.48 871.64 865.42 865.42 32449060
## 1350 2019-06-13 865.29 865.42 857.72 859.68 32318410
## 1351 2019-06-14 859.53 864.29 859.08 861.65 34401390
## 1352 2019-06-17 861.37 862.36 851.14 852.99 40074050
## 1353 2019-06-18 852.62 853.95 845.40 848.17 42999880
## 1354 2019-06-19 850.34 854.81 848.17 854.34 39852300
## 1355 2019-06-20 854.90 867.91 853.96 864.59 53355700
## 1356 2019-06-21 864.59 870.35 864.44 866.53 72303640
## 1357 2019-06-24 866.63 873.33 866.53 868.94 40701190
## 1358 2019-06-25 867.73 870.37 866.25 868.50 38482520
## 1359 2019-06-26 868.16 870.52 865.67 866.81 41570560
## 1360 2019-06-27 866.84 867.08 854.41 854.41 44966190
## 1361 2019-06-28 854.49 864.24 847.77 864.24 43760910
## 1362 2019-01-07 864.24 876.39 864.24 876.26 49225200
## 1363 2019-02-07 876.27 877.08 870.71 872.92 38741880
## 1364 2019-03-07 872.92 872.92 865.59 869.58 42594210
## 1365 2019-04-07 869.58 879.72 869.58 879.72 49311640
## 1366 2019-05-07 879.49 882.19 876.28 880.23 41267320
## 1367 2019-08-07 878.96 880.23 867.35 870.92 44396550
## 1368 2019-09-07 871.19 872.52 866.32 872.21 41064380
## 1369 2019-10-07 872.21 878.32 872.20 876.12 41858640
## 1370 2019-11-07 876.12 880.88 876.12 879.10 39213260
## 1371 2019-12-07 880.06 883.15 874.56 874.99 46827980
## 1372 2019-07-15 875.28 876.82 870.84 873.71 42053110
## 1373 2019-07-16 873.74 880.91 873.71 880.91 48665170
## 1374 2019-07-17 880.69 882.85 877.59 879.75 59853640
## 1375 2019-07-18 879.66 879.75 870.81 870.81 44968100
## 1376 2019-07-19 870.97 881.16 870.81 880.79 63926250
## 1377 2019-07-22 880.49 885.42 878.39 879.62 48837900
## 1378 2019-07-23 879.42 889.04 878.36 888.26 48223670
## 1379 2019-07-24 888.63 892.81 885.66 887.39 46413440
## 1380 2019-07-25 887.43 892.31 885.19 890.41 54563440
## 1381 2019-07-26 890.44 891.90 886.09 889.36 37156150
## 1382 2019-07-29 887.96 889.97 881.53 885.61 34474430
## 1383 2019-07-30 888.70 892.38 877.92 877.92 44932360
## 1384 2019-07-31 877.80 885.86 874.39 883.19 43400530
## 1385 2019-01-08 884.29 887.39 881.52 887.39 41754860
## 1386 2019-02-08 887.06 887.39 877.76 885.29 54739360
## 1387 2019-05-08 883.34 885.29 872.39 872.39 53465930
## 1388 2019-06-08 870.82 872.39 858.02 866.13 52907240
## 1389 2019-07-08 866.13 872.05 863.57 868.27 40017410
## 1390 2019-08-08 868.20 877.32 866.69 875.81 58877170
## 1391 2019-09-08 875.81 880.29 874.51 878.62 46667200
## 1392 2019-12-08 878.56 883.41 877.33 882.23 44745840
## 1393 2019-08-13 882.23 882.23 875.32 877.97 59070490
## 1394 2019-08-14 880.04 886.80 877.97 880.51 44297320
## 1395 2019-08-15 874.42 890.78 867.95 890.78 50395380
## 1396 2019-08-16 890.39 900.31 886.87 892.44 70252830
## 1397 2019-08-19 892.32 897.03 889.34 891.78 39311010
## 1398 2019-08-20 891.73 894.86 890.96 894.45 41244380
## 1399 2019-08-21 894.45 901.25 892.05 900.54 56164360
## 1400 2019-08-22 901.28 904.41 899.58 901.29 46933460
## 1401 2019-08-23 901.53 902.50 896.87 900.53 49584900
## 1402 2019-08-26 899.10 900.53 887.05 892.48 65313090
## 1403 2019-08-27 892.48 899.29 886.91 886.91 59291850
## 1404 2019-08-28 886.82 890.58 885.23 886.08 41622640
## 1405 2019-08-29 886.04 889.13 882.14 889.13 42613720
## 1406 2019-08-30 888.94 893.57 888.83 892.51 40839960
## 1407 2019-03-09 892.83 894.11 886.02 888.97 45768490
## 1408 2019-04-09 888.95 890.31 883.91 887.12 41234740
## 1409 2019-05-09 887.21 891.43 886.10 886.10 42074670
## 1410 2019-06-09 885.93 889.49 884.90 885.95 40543850
## 1411 2019-09-09 885.95 887.01 883.43 885.61 37164220
## 1412 2019-10-09 885.84 888.57 881.04 883.04 46274080
## 1413 2019-11-09 882.90 886.12 881.34 885.52 34851830
## 1414 2019-12-09 886.12 894.32 885.52 894.32 48192160
## 1415 2019-09-13 894.21 905.31 893.80 905.05 67622020
## 1416 2019-09-16 905.00 909.70 902.94 908.60 52499530
## 1417 2019-09-17 908.60 912.89 904.36 912.38 49773900
## 1418 2019-09-18 912.42 915.09 911.08 913.48 64916030
## 1419 2019-09-19 913.40 918.88 909.88 918.88 57544160
## 1420 2019-09-20 918.88 920.77 914.55 915.16 72085600
## 1421 2019-09-23 914.73 918.42 909.98 909.98 63685170
## 1422 2019-09-24 909.98 914.02 908.03 910.76 50415610
## 1423 2019-09-25 910.57 913.33 906.60 912.42 51189520
## 1424 2019-09-26 912.91 918.10 911.57 918.10 61815870
## 1425 2019-09-27 918.10 925.58 917.72 924.83 64121740
## 1426 2019-09-30 924.83 930.88 922.62 922.89 63284690
## 1427 2019-01-10 922.87 926.31 921.69 926.31 59813890
## 1428 2019-02-10 926.44 927.43 917.68 919.73 69144140
## 1429 2019-03-10 919.63 921.70 911.60 921.70 63663830
## 1430 2019-04-10 921.70 924.36 915.16 915.16 62008430
## 1431 2019-07-10 915.62 917.36 907.50 907.50 60836700
## 1432 2019-08-10 907.06 915.34 906.88 915.27 65243600
## 1433 2019-09-10 915.38 917.90 912.48 914.54 62566710
## 1434 2019-10-10 914.59 917.08 912.20 913.05 54842380
## 1435 2019-11-10 913.05 917.14 912.94 916.68 61846270
## 1436 2019-10-14 916.81 924.69 916.68 921.91 81662930
## 1437 2019-10-15 921.95 924.79 920.63 923.27 55003840
## 1438 2019-10-16 923.26 927.91 923.26 924.64 55092660
## 1439 2019-10-17 924.53 924.79 919.10 919.10 65013550
## 1440 2019-10-18 919.92 922.62 916.87 919.13 57605110
## 1441 2019-10-21 918.02 919.13 913.94 914.00 63505800
## 1442 2019-10-22 914.04 917.61 912.70 916.81 59083710
## 1443 2019-10-23 916.81 919.61 915.87 919.61 55202580
## 1444 2019-10-24 919.54 925.25 919.17 925.25 59252900
## 1445 2019-10-25 925.49 927.05 923.56 927.05 56303260
## 1446 2019-10-28 927.96 929.93 925.80 925.97 60005810
## 1447 2019-10-29 925.67 928.38 923.97 923.97 59000930
## 1448 2019-10-30 923.98 928.85 922.67 925.07 56666560
## 1449 2019-10-31 925.02 928.88 922.06 922.68 63154480
## 1450 2019-01-11 922.46 934.21 922.46 933.55 76837110
## 1451 2019-04-11 933.96 941.46 932.31 940.25 87334540
## 1452 2019-05-11 940.53 944.62 938.73 942.34 71492500
## 1453 2019-06-11 942.40 945.43 940.76 942.38 75016380
## 1454 2019-07-11 942.38 945.26 940.23 944.25 76226210
## 1455 2019-08-11 944.28 948.37 942.19 944.70 74207740
## 1456 2019-11-11 944.72 946.55 938.78 939.72 80097000
## 1457 2019-12-11 939.72 942.55 937.95 939.82 66245180
## 1458 2019-11-13 939.82 941.13 930.84 932.60 76758480
## 1459 2019-11-14 932.45 935.72 927.14 928.44 78620440
## 1460 2019-11-15 928.82 930.84 922.59 927.36 66130230
## 1461 2019-11-18 927.49 929.18 920.52 920.95 69835800
## 1462 2019-11-19 921.00 926.07 919.95 926.07 63691480
## 1463 2019-11-20 925.94 926.67 917.00 917.00 72569190
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## 1465 2019-11-22 898.93 906.93 885.83 892.31 82099050
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## 1470 2019-11-29 885.90 888.41 882.68 887.47 60328840
## 1471 2019-02-12 887.47 889.47 875.10 875.10 76462740
## 1472 2019-03-12 874.90 877.96 865.74 868.68 77467050
## 1473 2019-04-12 868.79 883.56 865.31 883.56 74534040
## 1474 2019-05-12 883.33 884.66 878.39 879.32 61676770
## 1475 2019-06-12 878.28 882.59 875.99 880.43 60752790
## 1476 2019-09-12 880.39 882.58 876.01 879.94 64151210
## 1477 2019-10-12 879.95 880.22 870.25 873.16 72499410
## 1478 2019-11-12 873.38 878.27 869.15 878.27 66716030
## 1479 2019-12-12 878.27 885.73 878.27 884.80 57447090
## 1480 2019-12-13 884.98 888.53 880.55 880.55 65816420
## 1481 2019-12-16 880.55 880.55 874.06 876.65 67010160
## 1482 2019-12-17 876.50 877.63 867.13 867.44 72408090
## 1483 2019-12-18 866.61 867.69 861.05 863.16 69570980
## 1484 2019-12-19 863.16 867.25 858.76 862.23 68010500
## 1485 2019-12-20 862.23 869.52 862.23 868.37 69391620
## 1486 2019-12-23 868.37 872.75 867.92 868.20 72189520
## 1487 2019-12-24 868.14 869.90 864.86 869.88 57924660
## 1488 2019-12-25 869.93 874.93 869.22 873.18 53692380
## 1489 2019-12-26 873.17 874.87 869.57 872.07 40379950
## 1490 2019-12-27 872.11 876.38 867.95 876.38 26809950
## 1491 2019-12-30 876.61 881.27 876.13 880.29 33522140
## 1492 2019-12-31 880.42 881.98 876.66 879.06 44433790
## 1493 2020-02-01 879.02 886.88 876.87 886.88 50389450
## 1494 2020-03-01 887.11 890.38 883.18 883.28 43220590
## 1495 2020-06-01 882.51 883.28 872.34 872.34 36868840
## 1496 2020-07-01 872.32 877.34 870.49 876.70 40277740
## 1497 2020-08-01 876.64 876.70 861.51 865.18 53101180
## 1498 2020-09-01 867.27 878.43 865.18 877.76 45705720
## 1499 2020-10-01 877.85 888.09 877.76 885.52 72856040
## 1500 2020-01-13 885.52 885.52 881.35 881.79 32553390
## 1501 2020-01-14 881.77 886.83 880.58 884.77 50679260
## 1502 2020-01-15 884.95 886.33 882.79 885.36 35671150
## 1503 2020-01-16 885.36 892.20 883.83 891.96 63476010
## 1504 2020-01-17 891.66 897.63 891.36 894.84 48879990
## 1505 2020-01-20 894.60 897.40 891.75 897.40 39722470
## 1506 2020-01-21 897.97 907.51 897.40 906.52 57331520
## 1507 2020-01-22 906.52 909.41 903.27 909.09 51710960
## 1508 2020-01-30 908.20 909.09 870.53 875.82 80136320
## 1509 2020-01-31 875.43 876.59 848.63 848.63 83267610
## 1510 2020-03-02 848.42 848.63 803.73 842.67 91769740
## 1511 2020-04-02 842.79 849.80 833.93 845.52 73132220
## 1512 2020-05-02 845.65 854.72 840.41 845.31 63586260
## 1513 2020-06-02 845.38 862.86 842.68 862.86 97615310
## 1514 2020-07-02 862.71 865.91 858.02 863.49 72831920
## 1515 2020-10-02 863.28 863.49 848.21 852.87 46861970
## 1516 2020-11-02 853.09 859.38 852.87 856.39 70070560
## 1517 2020-12-02 856.64 870.10 856.39 863.23 80775330
## 1518 2020-02-13 862.72 864.79 858.46 864.16 58430270
## 1519 2020-02-14 865.03 868.84 863.14 865.86 74645390
## 1520 2020-02-17 865.83 867.45 862.75 866.27 58437180
## 1521 2020-02-18 866.06 866.61 858.61 861.71 60234370
## 1522 2020-02-19 860.23 865.40 859.65 863.84 52573160
## 1523 2020-02-20 864.00 872.86 863.84 871.40 59013520
## 1524 2020-02-21 871.49 877.52 868.59 868.89 66759070
## 1525 2020-02-24 867.56 868.89 837.40 837.40 95170340
## 1526 2020-02-25 836.54 849.58 827.81 849.58 69289070
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## 1528 2020-02-27 841.19 849.18 836.56 848.34 55423910
## 1529 2020-02-28 844.02 848.34 823.09 831.97 69885780
## 1530 2020-02-03 831.25 837.99 827.23 835.42 69305330
## 1531 2020-03-03 835.14 846.21 835.14 837.99 64175180
## 1532 2020-04-03 838.02 839.26 831.20 837.99 52991210
## 1533 2020-05-03 838.93 846.58 836.32 839.12 67022900
## 1534 2020-06-03 838.77 839.12 827.12 835.97 53908060
## 1535 2020-09-03 835.65 835.97 781.12 782.85 107131850
## 1536 2020-10-03 782.85 794.88 762.34 789.51 90062880
## 1537 2020-11-03 789.75 795.98 746.83 758.16 99250550
## 1538 2020-12-03 757.90 758.16 710.33 719.21 113236020
## 1539 2020-03-13 715.34 722.30 674.36 716.65 113472590
## 1540 2020-03-16 716.65 716.65 688.80 698.18 74029820
## 1541 2020-03-17 698.00 702.36 673.21 699.73 80439940
## 1542 2020-03-18 699.73 705.30 695.42 700.65 77434820
## 1543 2020-03-19 699.35 700.65 669.04 679.55 73193700
## 1544 2020-03-20 679.78 683.55 668.90 673.70 81174090
## 1545 2020-03-23 671.05 673.70 628.46 632.86 81061380
## 1546 2020-03-24 632.63 633.97 619.07 625.43 85901840
## 1547 2020-03-25 625.83 652.31 625.43 652.31 86267230
## 1548 2020-03-26 651.94 655.06 639.02 646.70 74094650
## 1549 2020-03-27 646.61 649.17 633.41 642.23 102644660
## 1550 2020-03-30 641.92 642.23 605.00 611.79 75428990
## 1551 2020-03-31 613.33 629.08 598.60 610.76 77472420
## 1552 2020-01-04 609.35 631.60 606.03 628.79 73251500
## 1553 2020-03-04 630.37 649.15 628.79 649.15 84127900
## 1554 2020-06-04 649.15 682.65 649.15 682.65 127163130
## 1555 2020-07-04 682.65 695.45 677.03 693.61 117080630
## 1556 2020-08-04 693.66 693.66 675.26 691.17 76666570
## 1557 2020-09-04 691.17 704.18 691.17 697.85 111266900
## 1558 2020-10-04 697.90 701.77 687.18 695.74 146864700
## 1559 2020-04-13 695.84 714.58 695.74 706.37 82299370
## 1560 2020-04-14 706.37 713.81 699.03 713.81 94916160
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## 1563 2020-04-17 727.51 736.17 726.57 734.98 100568910
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## 1565 2020-04-21 734.14 736.31 702.61 706.65 128951820
## 1566 2020-04-22 706.54 718.62 692.03 714.42 86106800
## 1567 2020-04-23 715.62 729.99 714.42 717.49 63426140
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## 1571 2020-04-29 715.74 719.18 713.62 715.33 69755970
## 1572 2020-04-05 714.90 716.05 706.47 709.35 65868010
## 1573 2020-05-05 710.22 714.59 707.49 711.01 48703130
## 1574 2020-06-05 711.34 725.94 709.77 725.94 77213190
## 1575 2020-07-05 726.17 739.98 725.94 739.98 82601000
## 1576 2020-08-05 740.14 773.22 739.98 760.15 146260040
## 1577 2020-11-05 760.86 777.13 760.15 777.13 107514590
## 1578 2020-12-05 777.35 783.77 766.70 782.45 104564430
## 1579 2020-05-13 781.85 788.06 760.20 783.69 122448880
## 1580 2020-05-14 783.69 785.10 773.62 780.73 86237430
## 1581 2020-05-15 780.73 785.26 771.25 773.95 80443320
## 1582 2020-05-18 773.95 787.27 770.61 787.27 81990780
## 1583 2020-05-19 787.53 808.17 787.27 799.31 119339160
## 1584 2020-05-20 799.28 803.35 793.75 803.32 97443060
## 1585 2020-05-21 803.57 815.55 802.49 815.55 134973200
## 1586 2020-05-22 815.51 815.55 802.82 803.14 95158480
## 1587 2020-05-25 803.35 809.12 799.23 807.25 81739940
## 1588 2020-05-26 807.55 815.96 807.25 815.01 101929820
## 1589 2020-05-27 816.04 821.36 801.36 801.36 119115010
## 1590 2020-05-28 801.38 810.43 800.16 804.06 91471520
## 1591 2020-05-29 804.00 808.83 801.46 806.23 76808710
## 1592 2020-01-06 806.44 821.47 806.23 821.47 176781350
## 1593 2020-02-06 821.89 827.11 818.12 818.70 147384620
## 1594 2020-03-06 819.02 824.54 818.33 824.29 89255290
## 1595 2020-04-06 824.30 831.49 823.77 823.77 135464800
## 1596 2020-05-06 823.46 826.47 818.33 826.47 147686540
## 1597 2020-08-06 826.79 845.63 826.47 838.52 155914950
## 1598 2020-09-06 839.19 843.58 836.13 837.02 152484730
## 1599 2020-10-06 836.80 842.21 827.60 839.11 164035740
## 1600 2020-11-06 839.11 842.76 806.64 806.87 191851870
## 1601 2020-12-06 803.11 807.76 782.70 807.76 183055290
## 1602 2020-06-15 808.58 813.59 778.71 778.71 141902860
## 1603 2020-06-16 779.80 801.42 778.71 798.82 84854820
## 1604 2020-06-17 798.82 802.06 793.20 796.43 76200410
## 1605 2020-06-18 795.84 800.03 788.72 797.08 58891460
## 1606 2020-06-19 797.21 808.28 797.03 808.28 81044560
## 1607 2020-06-22 808.58 812.99 805.24 809.97 68483440
## 1608 2020-06-23 809.53 812.24 803.96 807.61 95807000
## 1609 2020-06-24 807.90 813.47 799.35 801.62 74689590
## 1610 2020-06-25 801.29 801.62 791.38 796.51 74549190
## 1611 2020-06-26 796.70 803.88 793.08 795.53 53642210
## 1612 2020-06-29 795.11 795.53 768.99 774.81 97111120
## 1613 2020-06-30 774.84 784.44 765.62 770.53 74258230
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## 1615 2020-02-07 786.82 788.88 781.45 785.59 54056700
## 1616 2020-03-07 785.81 790.30 785.59 789.87 43303010
## 1617 2020-06-07 790.08 803.76 789.87 803.46 74204520
## 1618 2020-07-07 803.61 812.48 803.46 805.68 87361600
## 1619 2020-08-07 805.67 807.09 801.57 805.06 52132960
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## 1630 2020-07-23 797.85 800.29 794.59 800.29 73617580
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## 1639 2020-05-08 768.22 782.09 761.26 780.71 84975870
## 1640 2020-06-08 780.71 787.27 776.04 781.60 64066590
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## 1670 2020-09-18 831.84 842.10 831.84 841.26 94168740
## 1671 2020-09-21 841.26 852.65 841.26 851.54 106118340
## 1672 2020-09-22 851.54 854.69 846.03 852.72 130393430
## 1673 2020-09-23 852.72 860.34 852.72 858.30 111915820
## 1674 2020-09-24 858.30 858.89 852.29 853.21 90213290
## 1675 2020-09-25 853.21 856.79 850.10 854.71 105360670
## 1676 2020-09-28 854.71 863.98 854.71 863.31 134681820
## 1677 2020-09-29 863.31 871.99 856.20 856.20 135082450
## 1678 2020-09-30 856.20 860.10 852.54 858.54 104923280
## 1679 2020-01-10 858.54 868.30 858.54 867.58 106515880
## 1680 2020-02-10 867.58 870.80 850.61 861.51 164531140
## 1681 2020-05-10 861.51 869.09 861.51 867.70 115090400
## 1682 2020-06-10 867.70 872.39 866.12 871.37 148279580
## 1683 2020-07-10 871.37 876.31 867.06 870.85 157151510
## 1684 2020-08-10 870.85 873.13 864.55 869.82 139809540
## 1685 2020-09-10 869.82 875.52 868.36 874.53 115723800
## 1686 2020-12-10 874.53 882.84 871.58 874.90 130255360
## 1687 2020-10-13 874.90 879.25 872.36 878.35 103915810
## 1688 2020-10-14 878.35 892.25 878.35 892.15 176566350
## 1689 2020-10-15 896.50 901.71 893.94 899.20 167589220
## 1690 2020-10-16 899.20 906.17 892.70 901.59 157348820
## 1691 2020-10-19 901.59 906.16 899.61 903.51 142169620
## 1692 2020-10-20 903.51 909.49 899.42 909.49 179990420
## 1693 2020-10-21 909.49 918.14 905.08 906.10 152206540
## 1694 2020-10-22 906.10 918.30 901.96 918.30 133646710
## 1695 2020-10-23 918.30 930.59 918.30 930.30 163038710
## 1696 2020-10-26 930.30 942.72 919.56 919.56 167434310
## 1697 2020-10-27 919.56 926.52 914.72 915.46 189908440
## 1698 2020-10-28 913.31 916.00 888.88 888.88 183439080
## 1699 2020-10-29 888.88 894.19 879.74 886.68 151632600
## 1700 2020-10-30 886.68 893.42 875.84 892.55 130033580
## 1701 2020-02-11 892.55 900.03 889.83 899.27 83556370
## 1702 2020-03-11 899.27 904.78 897.30 902.14 110878290
## 1703 2020-04-11 902.14 910.59 900.74 905.48 112218650
## 1704 2020-05-11 905.48 913.20 903.64 903.64 97631160
## 1705 2020-06-11 903.64 907.67 899.51 902.91 79120200
## 1706 2020-09-11 902.91 917.42 902.91 917.42 108928030
## 1707 2020-10-11 917.42 929.66 916.50 916.50 137867540
## 1708 2020-11-11 916.50 919.95 910.39 916.68 114386310
## 1709 2020-12-11 916.68 923.00 916.21 923.00 85346880
## 1710 2020-11-13 923.00 931.20 923.00 931.20 122988700
## 1711 2020-11-16 931.20 939.10 915.23 915.97 173012830
## 1712 2020-11-17 915.97 934.65 915.97 934.65 129177640
## 1713 2020-11-18 934.65 939.62 931.18 937.67 153573720
## 1714 2020-11-19 937.67 945.06 936.32 944.92 166086320
## 1715 2020-11-20 944.92 950.89 942.28 950.89 125700510
## 1716 2020-11-23 950.89 961.35 946.14 960.03 164653110
## 1717 2020-11-24 960.03 964.53 948.67 959.61 184868340
## 1718 2020-11-25 959.61 963.81 957.09 960.63 175122450
## 1719 2020-11-26 960.63 964.16 953.46 964.16 156138260
## 1720 2020-11-27 964.16 971.11 963.69 971.11 142656350
## 1721 2020-11-30 971.11 975.46 965.89 965.89 168722120
## 1722 2020-01-12 965.89 976.44 951.92 976.35 213408260
## 1723 2020-02-12 976.35 981.28 973.58 979.95 187854660
## 1724 2020-03-12 979.95 986.40 978.16 985.44 183517840
## 1725 2020-04-12 985.44 988.68 983.03 984.34 182020670
## 1726 2020-07-12 984.34 992.59 984.07 992.01 148301050
## 1727 2020-08-12 992.01 996.64 988.71 993.61 153446320
## 1728 2020-09-12 993.61 1004.61 993.61 1004.03 180899680
## 1729 2020-10-12 1004.03 1008.60 994.28 994.28 173563520
## 1730 2020-11-12 994.28 1008.65 994.28 1008.65 127663730
## 1731 2020-12-14 1008.65 1024.28 1008.65 1024.28 160378000
## 1732 2020-12-15 1024.28 1025.34 1009.80 1013.02 173336680
## 1733 2020-12-16 1013.02 1029.72 1013.02 1029.72 178525030
## 1734 2020-12-17 1029.72 1029.72 1015.86 1016.95 226638630
## 1735 2020-12-18 1016.95 1037.98 1016.95 1036.65 183606010
## 1736 2020-12-21 1036.65 1052.85 1036.65 1049.71 187655270
## 1737 2020-12-22 1049.71 1053.81 1043.80 1052.23 204617490
## 1738 2020-12-23 1052.23 1058.91 1043.88 1045.70 203334040
## 1739 2020-12-24 1045.70 1051.56 1013.90 1033.95 212709620
## 1740 2020-12-25 1033.95 1052.16 1026.05 1052.13 161859380
## 1741 2020-12-28 1052.13 1063.09 1047.45 1054.23 190250810
## 1742 2020-12-29 1054.23 1062.61 1050.05 1058.39 153419410
## 1743 2020-12-30 1058.39 1069.50 1055.25 1059.16 173017710
## 1744 2020-12-31 1059.16 1074.02 1058.90 1070.77 136030310
## 1745 2021-04-01 1070.77 1097.61 1070.77 1091.87 233730100
## 1746 2021-05-01 1091.87 1104.78 1086.07 1104.30 191641100
## 1747 2021-06-01 1104.30 1125.63 1104.30 1113.72 225226500
## 1748 2021-07-01 1113.72 1130.59 1113.72 1130.59 215401400
## 1749 2021-08-01 1130.59 1156.38 1130.59 1147.86 220086200
## 1750 2021-11-01 1147.86 1165.99 1147.86 1163.40 222792000
## 1751 2021-12-01 1163.40 1169.27 1155.90 1169.03 202517400
## 1752 2021-01-13 1169.03 1178.44 1161.87 1164.57 187356100
## 1753 2021-01-14 1164.57 1169.97 1156.58 1168.99 229616000
## 1754 2021-01-15 1168.99 1185.46 1168.99 1182.20 211717400
## 1755 2021-01-18 1182.20 1188.53 1171.96 1173.34 199288900
## 1756 2021-01-19 1173.34 1173.61 1098.47 1107.32 324705300
## 1757 2021-01-20 1107.32 1121.97 1073.13 1116.21 262600200
## 1758 2021-01-21 1116.21 1152.90 1114.26 1151.30 204600400
## 1759 2021-01-22 1151.30 1164.45 1147.88 1156.58 210394400
## 1760 2021-01-25 1156.58 1164.70 1149.26 1154.29 198478400
## 1761 2021-01-26 1154.29 1155.32 1107.54 1125.09 236714100
## 1762 2021-01-27 1125.09 1125.25 1073.74 1083.63 241013700
## 1763 2021-01-28 1083.63 1083.63 1008.53 1010.75 282129400
## 1764 2021-01-29 1010.75 1070.05 978.85 1048.31 242653600
## 1765 2021-01-02 1048.31 1068.93 1029.21 1029.86 175342500
## 1766 2021-02-02 1029.86 1079.87 1025.18 1079.70 162837100
## 1767 2021-03-02 1079.70 1122.04 1079.70 1117.98 204897000
## 1768 2021-04-02 1117.98 1126.64 1103.11 1117.74 155634900
## 1769 2021-05-02 1117.74 1135.50 1117.74 1135.50 139783900
## 1770 2021-08-02 1135.50 1136.38 1077.40 1092.59 228472200
## 1771 2021-09-02 1092.59 1129.49 1089.85 1129.49 173192200
## 1772 2021-02-17 1129.49 1169.88 1129.49 1174.91 155280800
## 1773 2021-02-18 1174.91 1187.94 1162.48 1187.94 183246200
## 1774 2021-02-19 1187.94 1188.61 1168.18 1180.59 166179400
## 1775 2021-02-22 1180.59 1190.48 1172.71 1180.55 175256400
## 1776 2021-02-23 1180.55 1191.74 1174.18 1182.47 195049200
## 1777 2021-02-24 1182.47 1192.04 1161.13 1167.18 178724400
## 1778 2021-02-25 1167.18 1175.19 1158.06 1169.82 158378900
## 1779 2021-02-26 1169.82 1175.40 1153.41 1173.60 178992100
## 1780 2021-01-03 1173.60 1192.85 1173.60 1191.83 191028700
## 1781 2021-02-03 1191.83 1203.84 1188.01 1194.71 169421200
## 1782 2021-03-03 1194.71 1198.36 1189.14 1195.60 154440900
## 1783 2021-04-03 1195.60 1200.42 1164.76 1174.29 183128200
## 1784 2021-05-03 1174.29 1174.80 1157.45 1173.83 205207500
## 1785 2021-08-03 1173.83 1186.29 1164.78 1170.00 164933700
## 1786 2021-09-03 1170.00 1170.00 1150.18 1163.00 159976000
## 1787 2021-10-03 1163.00 1173.58 1154.29 1172.26 156010800
## 1788 2021-11-03 1172.26 1190.47 1172.26 1188.71 167311800
## 1789 2021-12-03 1188.71 1193.97 1184.64 1187.81 147251900
## 1790 2021-03-15 1187.81 1194.29 1184.32 1190.86 149674500
## 1791 2021-03-16 1190.86 1192.15 1177.05 1187.84 163858900
## 1792 2021-03-17 1187.84 1193.45 1183.83 1193.45 193596700
## 1793 2021-03-18 1193.45 1211.54 1193.45 1211.54 155167300
## 1794 2021-03-19 1211.54 1211.54 1201.17 1203.36 171417400
## 1795 2021-03-22 1203.36 1207.28 1194.79 1198.54 161297800
## 1796 2021-03-23 1198.54 1198.54 1182.22 1186.98 155689000
## 1797 2021-03-24 1186.98 1186.98 1157.69 1165.61 190246400
## 1798 2021-03-25 1165.61 1175.86 1159.25 1164.64 165895200
## 1799 2021-03-26 1164.64 1170.75 1143.08 1167.19 172710300
## 1800 2021-03-29 1167.19 1182.06 1167.19 1180.07 145667400
## 1801 2021-03-30 1180.07 1192.90 1175.90 1190.86 217511900
## 1802 2021-03-31 1190.86 1203.18 1189.47 1196.24 171904000
## 1803 2021-01-04 1196.24 1227.56 1196.24 1226.16 222239500
## 1804 2021-02-04 1226.16 1243.67 1226.16 1238.03 199249300
## 1805 2021-05-04 1238.03 1256.12 1238.03 1249.90 219162300
## 1806 2021-06-04 1249.90 1260.35 1245.16 1255.36 222982600
## 1807 2021-07-04 1255.36 1257.77 1248.15 1257.77 213314200
## 1808 2021-08-04 1257.77 1263.03 1249.45 1251.81 161341700
## 1809 2021-09-04 1251.81 1256.06 1245.26 1253.26 173791500
## 1810 2021-12-04 1253.26 1279.52 1253.26 1278.19 267960600
## 1811 2021-04-13 1278.19 1298.78 1276.74 1277.35 255773400
## 1812 2021-04-14 1277.35 1290.77 1263.89 1290.77 207521100
## 1813 2021-04-15 1290.77 1300.84 1283.98 1284.20 236678100
## 1814 2021-04-16 1284.20 1291.37 1262.52 1276.87 247667200
## 1815 2021-04-19 1276.87 1306.22 1271.52 1306.22 210596900
## 1816 2021-04-20 1306.22 1331.56 1303.68 1312.68 244920500
## 1817 2021-04-22 1312.68 1317.50 1271.53 1271.53 232535000
## 1818 2021-04-23 1271.53 1301.39 1262.89 1301.39 245629900
## 1819 2021-04-26 1301.39 1305.73 1269.78 1275.04 216946500
## 1820 2021-04-27 1275.04 1283.95 1264.57 1283.81 171780800
## 1821 2021-04-28 1283.81 1296.48 1280.54 1294.06 206895500
## 1822 2021-04-29 1294.06 1312.62 1294.06 1312.28 242336900
## 1823 2021-04-05 1312.28 1329.18 1285.90 1328.03 274202700
## 1824 2021-05-05 1328.03 1360.76 1328.03 1346.89 274663200
## 1825 2021-06-05 1346.89 1352.57 1337.28 1344.64 226859700
## 1826 2021-07-05 1344.64 1347.80 1329.51 1340.73 291435700
## 1827 2021-10-05 1340.73 1371.51 1335.39 1370.66 302727000
## 1828 2021-11-05 1370.66 1382.06 1359.19 1359.19 262049600
## 1829 2021-12-05 1359.19 1380.23 1350.80 1380.17 264230000
## 1830 2021-05-13 1380.17 1385.72 1370.18 1370.18 271897300
## 1831 2021-05-14 1370.18 1386.09 1370.14 1380.02 251133900
## 1832 2021-05-17 1380.02 1391.89 1371.22 1371.36 254610700
## 1833 2021-05-18 1371.36 1381.36 1367.85 1378.59 252829000
## 1834 2021-05-19 1378.59 1402.45 1378.43 1401.71 279667100
## 1835 2021-05-20 1401.71 1424.92 1396.23 1424.92 270201500
## 1836 2021-05-21 1424.92 1433.01 1412.78 1425.04 267790400
## 1837 2021-05-24 1425.04 1433.59 1421.17 1430.48 256209400
## 1838 2021-05-25 1430.48 1445.60 1427.56 1444.01 209778800
## 1839 2021-05-26 1444.01 1456.55 1440.60 1455.11 233969200
## 1840 2021-05-27 1455.11 1457.46 1433.76 1437.38 264785900
## 1841 2021-05-28 1437.38 1460.68 1433.55 1458.78 300175000
## 1842 2021-05-31 1458.78 1475.09 1449.66 1474.78 293022200
## 1843 2021-01-06 1474.78 1496.55 1473.28 1482.92 255910200
## 1844 2021-02-06 1482.92 1488.93 1469.49 1478.85 277182000
## 1845 2021-03-06 1478.85 1506.27 1478.85 1504.37 318348000
## 1846 2021-04-06 1504.37 1509.38 1496.36 1508.35 336486800
## 1847 2021-07-06 1508.35 1508.65 1472.10 1484.10 309807000
## 1848 2021-08-06 1484.10 1493.36 1436.72 1438.97 328466400
## 1849 2021-09-06 1438.97 1465.93 1426.04 1457.76 279949900
## 1850 2021-10-06 1457.76 1464.40 1443.74 1451.18 253444200
## 1851 2021-11-06 1451.18 1489.95 1448.46 1487.61 264960500
## 1852 2021-06-14 1487.61 1504.32 1483.82 1495.51 249571500
## 1853 2021-06-15 1495.51 1498.75 1481.03 1487.04 239018700
## 1854 2021-06-16 1487.04 1487.68 1462.99 1465.58 241627200
## 1855 2021-06-17 1463.98 1469.44 1445.39 1461.91 211574000
## 1856 2021-06-18 1461.91 1484.89 1461.91 1481.30 198662900
## 1857 2021-06-21 1481.30 1486.12 1473.11 1478.29 205148100
## 1858 2021-06-22 1478.29 1498.12 1478.29 1489.24 211641600
## 1859 2021-06-23 1489.24 1502.79 1485.13 1489.53 197836400
## 1860 2021-06-24 1489.53 1497.92 1482.38 1486.96 175257700
## 1861 2021-06-25 1486.96 1500.94 1480.64 1500.30 180213400
## 1862 2021-06-28 1500.30 1523.58 1500.30 1521.41 215306300
## 1863 2021-06-29 1521.41 1536.96 1521.41 1529.97 203545700
## 1864 2021-06-30 1529.97 1540.90 1528.10 1529.00 192676300
## 1865 2021-01-07 1529.09 1545.14 1525.24 1545.14 253521100
## 1866 2021-02-07 1546.54 1558.45 1546.54 1554.59 242776200
## 1867 2021-05-07 1559.94 1560.44 1533.18 1557.41 309397900
## 1868 2021-06-07 1557.92 1565.29 1488.42 1488.42 306239683
## 1869 2021-07-07 1501.44 1538.77 1472.81 1538.77 306583400
## 1870 2021-08-07 1530.40 1536.51 1509.90 1521.21 218880200
## 1871 2021-09-07 1510.00 1526.35 1480.60 1494.43 287668400
## 1872 2021-12-07 1488.29 1495.92 1406.14 1443.10 412553600
## 1873 2021-07-13 1454.56 1457.05 1419.09 1440.87 174503600
## 1874 2021-07-14 1442.20 1446.13 1395.16 1410.30 215228900
## 1875 2021-07-15 1402.36 1441.57 1402.36 1430.29 189776500
## 1876 2021-07-16 1439.96 1446.36 1433.16 1438.05 152452100
## 1877 2021-07-19 1403.96 1412.70 1367.61 1374.15 268708600
## 1878 2021-07-20 1379.41 1411.02 1357.31 1411.02 221511500
## 1879 2021-07-21 1415.71 1422.80 1402.42 1406.54 149343500
## 1880 2021-07-22 1404.49 1432.43 1400.20 1428.48 162697100
## 1881 2021-07-23 1422.07 1430.43 1401.53 1401.53 235469400
## 1882 2021-07-26 1397.01 1409.94 1384.87 1403.96 152848200
## 1883 2021-07-27 1415.50 1423.30 1408.80 1409.85 190307000
## 1884 2021-07-28 1406.25 1415.39 1402.60 1407.50 120700100
## 1885 2021-07-29 1419.55 1427.55 1413.59 1427.55 166489800
## 1886 2021-07-30 1430.48 1451.45 1428.85 1447.23 224343000
## 1887 2021-02-08 1443.60 1457.89 1438.35 1448.21 198500500
## 1888 2021-03-08 1449.97 1469.87 1449.33 1469.87 225709900
## 1889 2021-04-08 1476.82 1480.28 1465.66 1472.20 218545200
## 1890 2021-05-08 1469.13 1488.79 1465.10 1486.46 193618800
## 1891 2021-06-08 1488.11 1491.52 1476.79 1476.79 211700400
## 1892 2021-09-08 1472.78 1499.90 1467.32 1497.83 206115700
## 1893 2021-10-08 1506.50 1508.92 1490.00 1494.41 185390800
## 1894 2021-11-08 1497.13 1506.80 1487.91 1487.91 245343900
## 1895 2021-12-08 1487.10 1493.69 1477.06 1477.06 184219700
## 1896 2021-08-13 1477.72 1484.67 1463.48 1484.25 207219000
## 1897 2021-08-16 1490.70 1504.03 1487.52 1500.77 258600300
## 1898 2021-08-17 1508.41 1512.27 1488.74 1494.12 217175800
## 1899 2021-08-18 1493.12 1500.17 1484.26 1489.54 192677500
## 1900 2021-08-19 1489.74 1505.01 1479.60 1505.01 206497700
## 1901 2021-08-20 1495.67 1497.03 1436.24 1450.45 348767300
## 1902 2021-08-23 1443.67 1446.73 1412.00 1412.00 250637200
## 1903 2021-08-24 1415.71 1423.46 1406.94 1418.26 203685300
## 1904 2021-08-25 1420.74 1430.58 1411.07 1428.51 153263700
## 1905 2021-08-26 1432.37 1433.67 1408.08 1412.45 152194200
## 1906 2021-08-27 1403.99 1418.57 1391.88 1418.57 202511100
## 1907 2021-08-30 1427.48 1434.25 1420.77 1431.05 154142100
## 1908 2021-08-31 1435.52 1437.38 1425.71 1428.66 152484200
## 1909 2021-01-09 1425.35 1434.35 1423.08 1426.94 176638100
## 1910 2021-06-09 1433.03 1441.92 1429.55 1441.54 208734600
## 1911 2021-07-09 1446.00 1454.82 1441.69 1444.10 205271300
## 1912 2021-08-09 1447.43 1447.85 1431.38 1433.71 152206200
## 1913 2021-09-09 1432.84 1449.16 1431.55 1447.28 166188800
## 1914 2021-10-09 1451.78 1453.81 1447.44 1448.33 139146600
## 1915 2021-09-13 1450.00 1454.72 1444.71 1444.99 162870500
## 1916 2021-09-14 1444.24 1448.71 1436.98 1438.16 148168200
## 1917 2021-09-15 1433.17 1447.64 1432.76 1444.85 130108600
## 1918 2021-09-16 1452.89 1454.23 1442.77 1448.98 134634300
## 1919 2021-09-17 1452.31 1459.94 1451.38 1455.59 188921000
## 1920 2021-09-20 1468.11 1474.66 1454.95 1458.66 180834700
## 1921 2021-09-21 1444.75 1455.71 1433.77 1446.22 167219900
## 1922 2021-09-22 1449.44 1454.19 1440.02 1453.22 122875100
## 1923 2021-09-23 1456.46 1466.00 1453.02 1458.23 138284900
## 1924 2021-09-24 1460.63 1464.12 1456.89 1459.94 141119100
## 1925 2021-09-27 1462.86 1464.50 1439.20 1439.20 148690000
## 1926 2021-09-28 1433.70 1454.79 1430.89 1451.12 141163200
## 1927 2021-09-29 1450.73 1453.66 1440.55 1450.52 169808300
## 1928 2021-09-30 1452.76 1461.94 1452.55 1453.76 118787000
## 1929 2021-01-10 1450.90 1453.24 1438.52 1441.83 188812300
## 1930 2021-04-10 1442.87 1446.78 1434.72 1443.61 220195000
## 1931 2021-05-10 1446.77 1456.37 1444.49 1456.21 152940400
## 1932 2021-06-10 1461.98 1461.98 1453.78 1461.72 157608000
## 1933 2021-07-10 1467.95 1469.02 1460.87 1462.74 142851700
## 1934 2021-08-10 1466.78 1476.54 1463.07 1476.54 137767900
## 1935 2021-11-10 1481.29 1511.21 1480.31 1510.27 211043700
## 1936 2021-12-10 1514.78 1517.21 1504.24 1509.57 162655700
## 1937 2021-10-13 1512.73 1519.11 1502.19 1505.55 137277800
## 1938 2021-10-14 1504.85 1511.14 1498.21 1503.38 159952700
## 1939 2021-10-15 1508.37 1512.61 1499.70 1504.84 151731800
## 1940 2021-10-18 1508.88 1517.70 1505.39 1510.49 167733700
## 1941 2021-10-19 1512.10 1513.83 1503.89 1507.19 142509300
## 1942 2021-10-20 1510.38 1516.74 1486.26 1505.03 182022000
## 1943 2021-10-21 1509.05 1510.20 1489.26 1489.26 166371200
## 1944 2021-10-22 1495.32 1498.25 1486.57 1488.71 127282900
## 1945 2021-10-25 1492.35 1492.35 1476.97 1476.97 202649000
## 1946 2021-10-26 1474.36 1483.65 1467.02 1482.62 143685900
## 1947 2021-10-27 1487.45 1516.46 1485.12 1516.46 201353000
## 1948 2021-10-28 1522.11 1530.77 1513.12 1529.26 190779100
## 1949 2021-10-29 1529.42 1533.86 1525.73 1532.35 197579000
## 1950 2021-01-11 1534.17 1534.88 1513.98 1516.75 252416300
## 1951 2021-02-11 1514.91 1522.90 1514.75 1521.35 186412200
## 1952 2021-03-11 1526.38 1537.59 1521.94 1530.65 324556200
## 1953 2021-04-11 1531.92 1535.90 1524.54 1528.21 173097200
## 1954 2021-05-11 1531.06 1535.43 1523.16 1531.76 156544900
## 1955 2021-08-11 1535.12 1541.83 1528.71 1535.66 219015500
## 1956 2021-09-11 1539.25 1542.75 1524.36 1527.13 210505900
## 1957 2021-10-11 1530.69 1531.70 1518.89 1523.79 204461200
## 1958 2021-11-11 1524.73 1526.72 1503.77 1514.36 258427300
## 1959 2021-12-11 1514.96 1529.03 1504.52 1527.94 152556600
## 1960 2021-11-15 1534.16 1534.44 1521.94 1528.68 232161500
## 1961 2021-11-16 1527.11 1530.32 1513.50 1517.22 214948000
## 1962 2021-11-17 1517.67 1522.50 1513.65 1519.58 165538300
## 1963 2021-11-18 1522.39 1523.19 1503.42 1503.42 256828300
## 1964 2021-11-19 1507.45 1521.63 1487.12 1500.05 319994900
## 1965 2021-11-22 1506.38 1530.43 1502.25 1517.04 274789700
## 1966 2021-11-23 1518.39 1533.12 1513.23 1533.12 173026700
## 1967 2021-11-24 1534.87 1567.77 1530.61 1565.29 371792500
## 1968 2021-11-25 1573.29 1579.56 1567.67 1572.46 255689400
## 1969 2021-11-26 1576.52 1587.00 1564.39 1566.55 286506800
## 1970 2021-11-29 1541.22 1558.86 1541.22 1553.04 270835200
## 1971 2021-11-30 1567.44 1568.09 1531.82 1537.59 254246000
## 1972 2021-01-12 1536.67 1549.81 1531.20 1549.81 183018700
## 1973 2021-02-12 1553.21 1555.49 1540.88 1540.88 155692100
## 1974 2021-03-12 1550.81 1551.97 1503.98 1503.98 237844400
## 1975 2021-06-12 1507.45 1515.47 1464.91 1480.92 264304900
## 1976 2021-07-12 1493.07 1512.62 1488.13 1512.62 167560600
## 1977 2021-08-12 1515.59 1523.95 1508.69 1516.16 176054000
## 1978 2021-09-12 1509.40 1529.61 1509.40 1529.61 141320100
## 1979 2021-10-12 1528.17 1533.23 1517.59 1519.46 172565800
## 1980 2021-12-13 1523.74 1526.53 1517.98 1520.80 166213200
## 1981 2021-12-14 1518.39 1529.93 1513.14 1516.44 170665700
## 1982 2021-12-15 1516.91 1525.14 1512.05 1519.42 150689400
## 1983 2021-12-16 1526.63 1526.75 1501.41 1510.17 187576000
## 1984 2021-12-17 1513.36 1520.97 1511.19 1513.56 220350000
## 1985 2021-12-20 1519.69 1521.62 1509.54 1513.60 180132400
## 1986 2021-12-21 1512.01 1517.69 1507.89 1511.48 175784000
## 1987 2021-12-22 1514.98 1519.74 1498.96 1504.12 220183200
## 1988 2021-12-23 1504.61 1506.43 1470.94 1477.37 241493800
## 1989 2021-12-24 1484.51 1507.48 1481.37 1506.67 197961200
## 1990 2021-12-27 1516.73 1517.45 1500.31 1514.55 134565900
## 1991 2021-12-28 1520.34 1523.54 1509.58 1523.54 189418700
## 1992 2021-12-29 1525.82 1528.90 1515.94 1515.94 154782700
## 1993 2021-12-30 1515.75 1526.20 1515.75 1519.62 145697200
## 1994 2021-12-31 1523.58 1537.32 1523.41 1535.71 183408500
## 1995 2022-04-01 1536.45 1562.54 1536.45 1558.87 207489800
## 1996 2022-05-01 1559.33 1562.93 1546.01 1546.01 222221200
## 1997 2022-06-01 1542.34 1554.97 1541.19 1544.95 231961100
## 1998 2022-07-01 1548.77 1550.47 1532.24 1532.24 200626600
## 1999 2022-10-01 1531.13 1537.71 1514.70 1514.70 200034100
## 2000 2022-11-01 1516.74 1519.84 1497.78 1499.74 187023400
## 2001 2022-12-01 1498.63 1530.04 1484.93 1530.04 282093000
## 2002 2022-01-13 1533.38 1548.49 1524.66 1526.43 308816900
## 2003 2022-01-14 1523.96 1530.20 1513.17 1523.57 135949400
## 2004 2022-01-17 1523.17 1529.28 1478.61 1478.61 290137800
## 2005 2022-01-18 1473.04 1489.13 1464.41 1477.06 214017600
## 2006 2022-01-19 1479.74 1491.00 1475.06 1482.55 142261000
## 2007 2022-01-20 1479.81 1499.47 1474.67 1492.81 163721300
## 2008 2022-01-21 1497.61 1508.65 1492.50 1502.16 218982600
## 2009 2022-01-24 1496.36 1499.22 1465.76 1471.31 243478300
## 2010 2022-01-25 1471.56 1516.16 1466.07 1516.16 191549000
## 2011 2022-01-26 1519.90 1533.61 1516.96 1525.31 236863500
## 2012 2022-01-27 1517.69 1528.67 1508.77 1516.57 121639400
## 2013 2022-01-28 1516.40 1535.57 1515.85 1532.24 194567300
## 2014 2022-07-02 1548.38 1555.01 1541.25 1541.25 182867100
## 2015 2022-08-02 1539.49 1555.01 1537.16 1550.46 218959100
## 2016 2022-09-02 1554.59 1570.32 1552.44 1552.44 230550700
## 2017 2022-10-02 1554.98 1557.89 1536.02 1548.95 225002900
## 2018 2022-11-02 1544.76 1549.37 1540.50 1545.92 167675800
## 2019 2022-02-14 1530.50 1536.77 1505.07 1505.07 254064100
## 2020 2022-02-15 1508.25 1530.04 1507.87 1527.36 180952200
## 2021 2022-02-16 1534.39 1534.50 1517.52 1521.47 122057100
## 2022 2022-02-17 1521.37 1540.51 1521.37 1540.51 146568200
## 2023 2022-02-18 1525.21 1533.53 1523.88 1531.47 155104600
## 2024 2022-02-21 1530.65 1537.56 1522.48 1533.40 163183400
## 2025 2022-02-22 1532.07 1532.36 1510.07 1532.36 223625500
## 2026 2022-02-23 1536.60 1547.19 1534.19 1538.83 158142200
## 2027 2022-02-24 1537.50 1540.13 1503.22 1522.04 275311400
## 2028 2022-02-25 1531.97 1540.13 1526.50 1526.50 198105100
## 2029 2022-02-28 1525.58 1533.32 1512.45 1517.18 193571200
## 2030 2022-01-03 1521.44 1525.00 1515.49 1520.12 187030700
## 2031 2022-02-03 1516.31 1517.49 1495.16 1498.61 291452900
## 2032 2022-03-03 1507.53 1522.49 1502.41 1522.49 244078000
## 2033 2022-04-03 1525.23 1529.93 1519.97 1525.34 220071600
## 2034 2022-07-03 1514.76 1518.32 1505.79 1509.12 222534800
## 2035 2022-08-03 1500.07 1506.65 1486.68 1490.17 222308000
## 2036 2022-09-03 1493.96 1497.75 1485.15 1489.25 190158600
## 2037 2022-10-03 1491.90 1505.50 1490.24 1490.24 148748300
## 2038 2022-11-03 1487.92 1490.83 1469.22 1477.14 178186800
## 2039 2022-03-14 1471.44 1473.98 1454.34 1461.10 177210100
## 2040 2022-03-15 1461.40 1469.52 1455.16 1468.89 136415100
## 2041 2022-03-16 1475.17 1478.42 1467.95 1472.69 106836400
## 2042 2022-03-17 1480.32 1480.86 1469.92 1469.92 109378100
## 2043 2022-03-18 1474.02 1482.96 1474.02 1476.94 148418800
## 2044 2022-03-21 1480.29 1502.67 1480.29 1502.67 124702300
## 2045 2022-03-22 1507.38 1516.70 1506.10 1513.40 155225300
## 2046 2022-03-23 1514.61 1519.58 1505.59 1505.59 132331300
## 2047 2022-03-24 1506.49 1506.79 1496.96 1497.44 115640400
## 2048 2022-03-25 1499.34 1503.18 1494.28 1498.36 109442400
## 2049 2022-03-28 1493.12 1497.06 1477.72 1484.16 177240800
## 2050 2022-03-29 1484.95 1501.05 1484.95 1500.57 110331000
## 2051 2022-03-30 1497.98 1513.91 1496.59 1500.23 163897200
## 2052 2022-03-31 1502.38 1512.47 1500.67 1508.53 121691400
## 2053 2022-01-04 1509.01 1542.47 1506.11 1542.47 195611900
## 2054 2022-04-04 1558.21 1558.98 1546.46 1548.04 160184300
## 2055 2022-05-04 1544.34 1549.77 1539.20 1539.20 125174200
## 2056 2022-06-04 1534.23 1558.41 1529.23 1557.11 203573500
## 2057 2022-07-04 1561.14 1566.09 1541.96 1541.96 198966000
## 2058 2022-08-04 1541.78 1547.60 1524.31 1524.31 156336400
## 2059 2022-12-04 1530.30 1532.03 1506.41 1507.20 152481700
## 2060 2022-04-13 1512.37 1526.44 1506.45 1525.39 143871600
## 2061 2022-04-14 1526.49 1534.28 1517.07 1518.01 119609300
## 2062 2022-04-15 1514.89 1518.85 1491.26 1493.74 181765300
## 2063 2022-04-18 1493.17 1493.24 1466.73 1468.25 194441900
## 2064 2022-04-19 1471.63 1478.50 1440.61 1440.61 156620100
## 2065 2022-04-20 1440.90 1453.81 1434.87 1435.50 150221600
## 2066 2022-04-21 1434.77 1452.41 1422.70 1426.87 172358900
## 2067 2022-04-22 1439.32 1455.15 1419.05 1444.32 150755100
## 2068 2022-04-25 1444.79 1445.62 1356.36 1366.39 202426300
## 2069 2022-04-26 1347.83 1397.43 1318.50 1396.90 181776700
## 2070 2022-04-27 1394.85 1407.70 1362.87 1402.03 108117400
## 2071 2022-04-28 1400.60 1407.82 1392.24 1400.88 91674500
## 2072 2022-04-29 1400.88 1417.31 1394.17 1417.31 128034900
## 2073 2022-04-05 1415.43 1415.45 1389.59 1389.59 114189600
## 2074 2022-05-05 1402.60 1405.43 1373.42 1404.88 122134200
## 2075 2022-06-05 1399.54 1399.54 1371.00 1373.21 129906600
## 2076 2022-09-05 1358.56 1360.64 1308.34 1314.04 200878800
## 2077 2022-10-05 1312.10 1345.46 1285.67 1345.46 157234400
## 2078 2022-11-05 1344.14 1355.11 1324.20 1349.82 94773600
## 2079 2022-12-05 1337.01 1339.25 1279.48 1279.76 163224300
## 2080 2022-05-13 1281.28 1284.94 1219.52 1223.76 237555200
## 2081 2022-05-16 1254.88 1258.25 1214.29 1215.08 172770300
## 2082 2022-05-17 1211.88 1279.55 1203.51 1279.55 161817400
## 2083 2022-05-18 1289.50 1298.69 1268.13 1286.41 159937700
## 2084 2022-05-19 1259.59 1291.49 1255.63 1283.55 130077200
## 2085 2022-05-20 1284.89 1296.00 1273.40 1282.51 110100400
## 2086 2022-05-23 1287.49 1287.65 1245.41 1255.35 139331100
## 2087 2022-05-24 1255.77 1272.71 1242.36 1272.71 146366400
## 2088 2022-05-25 1277.54 1311.32 1273.29 1310.70 172697800
## 2089 2022-05-26 1312.56 1319.21 1304.59 1309.50 127930000
## 2090 2022-05-27 1311.78 1336.99 1310.64 1335.68 139406400
## 2091 2022-05-30 1337.39 1342.87 1329.38 1342.87 121531100
## 2092 2022-05-31 1342.08 1342.08 1324.46 1332.59 127915900
## 2093 2022-01-06 1329.02 1341.47 1323.07 1335.49 127582100
## 2094 2022-02-06 1339.12 1342.47 1319.85 1325.49 133902700
## 2095 2022-03-06 1325.49 1329.90 1313.40 1327.40 100179800
## 2096 2022-06-06 1328.73 1336.96 1320.97 1327.04 132834400
## 2097 2022-07-06 1323.19 1324.37 1297.98 1324.37 153980900
## 2098 2022-08-06 1328.95 1348.40 1325.65 1342.03 163072000
## 2099 2022-09-06 1344.56 1346.13 1335.28 1342.92 126600400
## 2100 2022-10-06 1332.93 1344.85 1325.69 1325.69 136585200
## 2101 2022-06-13 1295.26 1300.45 1260.85 1260.85 199019600
## 2102 2022-06-14 1247.39 1271.28 1245.26 1261.16 145640500
## 2103 2022-06-15 1263.96 1268.33 1231.12 1253.09 167431200
## 2104 2022-06-16 1266.87 1292.02 1263.56 1280.37 156455300
## 2105 2022-06-17 1254.05 1259.39 1229.74 1258.03 187300200
## 2106 2022-06-20 1258.30 1262.83 1223.03 1225.56 168768300
## 2107 2022-06-21 1220.76 1240.80 1212.69 1224.54 172801800
## 2108 2022-06-22 1233.28 1242.06 1222.86 1227.18 142695000
## 2109 2022-06-23 1227.18 1240.58 1219.08 1240.58 105240000
## 2110 2022-06-24 1239.54 1246.22 1234.72 1235.47 90437000
## 2111 2022-06-27 1238.23 1256.67 1237.79 1256.67 110597100
## 2112 2022-06-28 1254.35 1276.21 1249.57 1273.41 151571400
## 2113 2022-06-29 1259.83 1274.73 1259.41 1273.40 113295900
## 2114 2022-06-30 1273.99 1276.23 1248.92 1248.92 118013500
## 2115 2022-01-07 1247.70 1255.67 1225.64 1252.24 118891000
## 2116 2022-04-07 1256.20 1260.72 1244.50 1248.37 112840000
## 2117 2022-05-07 1252.48 1256.47 1239.80 1242.05 162030600
## 2118 2022-06-07 1241.19 1241.19 1211.94 1211.94 131179800
## 2119 2022-07-07 1212.36 1229.23 1209.97 1229.23 98638500
## 2120 2022-08-07 1235.65 1236.85 1225.04 1231.54 115987500
## 2121 2022-11-07 1224.20 1224.20 1200.15 1209.02 131002300
## 2122 2022-12-07 1208.06 1219.44 1204.84 1219.44 88675600
## 2123 2022-07-13 1216.83 1225.85 1213.41 1216.94 117179900
## 2124 2022-07-14 1213.73 1224.01 1211.14 1221.94 106757900
## 2125 2022-07-15 1224.15 1228.48 1217.21 1220.14 147665700
## 2126 2022-07-18 1225.40 1225.69 1213.28 1214.28 104038500
## 2127 2022-07-19 1213.55 1213.64 1204.61 1211.70 100592900
## 2128 2022-07-20 1220.25 1229.62 1217.45 1225.62 123377500
## 2129 2022-07-21 1227.31 1240.91 1226.88 1235.25 127715400
## 2130 2022-07-22 1238.46 1241.65 1228.84 1228.84 106142000
## 2131 2022-07-25 1228.11 1231.84 1219.61 1222.60 94341400
## 2132 2022-07-26 1221.43 1227.10 1218.11 1218.49 93438000
## 2133 2022-07-27 1218.13 1219.43 1211.42 1219.43 95584100
## 2134 2022-07-28 1228.73 1240.65 1226.95 1236.14 180062100
## 2135 2022-07-29 1243.17 1243.17 1232.00 1232.00 142294000
## 2136 2022-01-08 1233.85 1256.25 1233.64 1256.25 175842500
## 2137 2022-02-08 1256.32 1266.14 1248.97 1265.97 172175300
## 2138 2022-03-08 1259.26 1271.39 1256.39 1269.83 184352300
## 2139 2022-04-08 1273.71 1281.46 1270.66 1277.73 164088200
## 2140 2022-05-08 1274.48 1276.19 1265.93 1272.06 172672400
## 2141 2022-08-08 1270.27 1280.13 1270.13 1276.70 141948100
## 2142 2022-09-08 1281.38 1285.52 1275.12 1281.44 161794800
## 2143 2022-10-08 1279.58 1283.06 1276.07 1277.15 117050500
## 2144 2022-11-08 1282.09 1289.29 1267.04 1272.33 175275100
## 2145 2022-12-08 1271.39 1280.96 1267.14 1280.96 113933600
## 2146 2022-08-15 1287.13 1294.11 1285.52 1293.79 149048700
## 2147 2022-08-16 1293.72 1297.38 1290.52 1295.10 155261200
## 2148 2022-08-17 1297.25 1304.49 1296.58 1300.40 146611100
## 2149 2022-08-18 1299.09 1311.73 1295.54 1299.93 162054000
## 2150 2022-08-19 1297.97 1303.73 1289.57 1294.93 154225000
## 2151 2022-08-22 1294.78 1295.69 1281.96 1285.45 128864900
## 2152 2022-08-23 1276.09 1292.00 1275.57 1292.00 130485700
## 2153 2022-08-24 1295.07 1300.40 1291.96 1296.41 113650300
## 2154 2022-08-25 1299.26 1311.55 1299.26 1311.55 127468800
## 2155 2022-08-26 1314.73 1320.16 1304.68 1306.81 152914600
## 2156 2022-08-29 1296.03 1296.03 1275.40 1293.25 174325400
## 2157 2022-08-30 1293.41 1307.12 1293.41 1298.14 112858600
## 2158 2022-08-31 1295.71 1306.45 1294.34 1301.44 103562800
## 2159 2022-05-09 1300.50 1305.62 1294.44 1298.15 110009200
## 2160 2022-06-09 1298.74 1305.90 1296.58 1299.06 121911600
## 2161 2022-07-09 1297.31 1298.17 1268.95 1268.95 187243100
## 2162 2022-08-09 1277.63 1279.34 1265.57 1265.57 124239300
## 2163 2022-09-09 1273.37 1275.64 1259.35 1275.64 161748700
## 2164 2022-12-09 1283.41 1285.17 1275.45 1275.60 100037700
## 2165 2022-09-13 1277.48 1279.55 1271.22 1272.48 94065400
## 2166 2022-09-14 1254.44 1262.80 1250.98 1260.88 142289600
## 2167 2022-09-15 1267.24 1269.54 1260.51 1262.82 101057100
## 2168 2022-09-16 1259.90 1263.97 1248.13 1252.78 155329900
## 2169 2022-09-19 1251.43 1253.45 1225.18 1229.88 152498300
## 2170 2022-09-20 1235.93 1241.07 1224.96 1241.07 94432100
## 2171 2022-09-21 1235.84 1236.05 1223.02 1228.20 76490900
## 2172 2022-09-22 1217.63 1229.26 1210.65 1228.94 98659200
## 2173 2022-09-23 1227.34 1230.72 1213.74 1215.41 88494000
## 2174 2022-09-26 1199.39 1201.89 1172.37 1187.22 175236400
## 2175 2022-09-27 1190.46 1193.79 1181.43 1182.46 85342600
## 2176 2022-09-28 1173.82 1177.58 1160.66 1160.66 92268300
## 2177 2022-09-29 1166.59 1177.21 1147.44 1147.44 88046900
## 2178 2022-09-30 1140.18 1158.20 1128.57 1152.01 154777200
## 2179 2022-03-10 1141.87 1144.95 1094.49 1102.00 159888000
## 2180 2022-04-10 1113.80 1117.87 1088.41 1097.72 147867000
## 2181 2022-05-10 1114.60 1128.94 1112.26 1117.38 114403700
## 2182 2022-06-10 1117.70 1119.76 1079.75 1081.36 141259300
## 2183 2022-07-10 1064.72 1067.03 1027.64 1039.54 261705900
## 2184 2022-10-10 1025.48 1052.24 1011.44 1038.93 178313500
## 2185 2022-11-10 1031.12 1031.12 987.27 1001.68 200927800
## 2186 2022-12-10 1004.53 1039.33 999.00 1034.93 150966500
## 2187 2022-10-13 1034.20 1051.24 1020.97 1051.24 127128600
## 2188 2022-10-14 1068.63 1070.30 1054.82 1061.39 148450300
## 2189 2022-10-17 1051.23 1051.42 1028.34 1047.20 117602900
## 2190 2022-10-18 1061.06 1068.90 1051.85 1059.06 120839700
## 2191 2022-10-19 1061.12 1062.27 1044.69 1053.65 102622000
## 2192 2022-10-20 1049.96 1060.79 1041.08 1053.26 113705500
## 2193 2022-10-21 1055.34 1055.34 1002.09 1010.57 193757000
## 2194 2022-10-24 1011.54 1013.24 961.79 973.88 170993600
## 2195 2022-10-25 971.29 1006.69 950.19 991.52 183292900
## 2196 2022-10-26 995.73 999.59 979.40 990.41 77220600
## 2197 2022-10-27 992.95 1028.50 986.54 1028.50 159809500
## 2198 2022-10-28 1036.94 1046.04 1024.74 1029.49 147687400
## 2199 2022-10-31 1027.57 1031.66 999.47 1026.84 188840700
## 2200 2022-01-11 1028.23 1049.77 1028.23 1038.09 243894300
## 2201 2022-02-11 1037.47 1039.42 1020.48 1025.18 167911600
## 2202 2022-03-11 1012.90 1029.53 1010.57 1023.80 120449100
## 2203 2022-04-11 1006.52 1009.00 971.72 997.92 256472300
## 2204 2022-07-11 992.40 999.43 968.84 972.85 179097800
## 2205 2022-08-11 957.88 981.51 950.81 980.09 185773700
## 2206 2022-09-11 980.92 993.28 969.19 979.68 166478600
## 2207 2022-10-11 969.79 969.79 925.02 936.80 252587000
## 2208 2022-11-11 946.68 963.55 941.84 948.86 213492300
## 2209 2022-11-14 945.97 945.97 913.50 936.31 211967900
## 2210 2022-11-15 923.20 927.37 893.49 904.77 218103000
## 2211 2022-11-16 878.24 942.56 863.31 940.29 249949000
## 2212 2022-11-17 941.77 975.42 941.77 971.04 184689400
## 2213 2022-11-18 967.82 977.19 941.18 971.20 264087200
## 2214 2022-11-21 970.64 972.15 951.62 956.89 132087900
## 2215 2022-11-22 956.31 985.18 941.85 945.54 368681000
## 2216 2022-11-23 939.08 951.86 933.26 938.73 154603600
## 2217 2022-11-24 932.69 941.69 925.55 940.76 136323900
## 2218 2022-11-25 948.66 967.49 947.56 967.49 170888500
## 2219 2022-11-28 974.42 1006.06 974.23 1004.34 398075900
## 2220 2022-11-29 1007.58 1029.04 995.12 1029.04 366388700
## 2221 2022-11-30 1034.78 1049.21 1018.59 1049.21 264696800
## 2222 2022-01-12 1059.80 1073.32 1040.95 1042.64 434444200
## 2223 2022-02-12 1038.11 1092.99 1037.08 1092.99 331170900
## 2224 2022-05-12 1094.39 1120.56 1094.39 1110.94 375073300
## 2225 2022-06-12 1109.50 1109.50 1054.06 1054.06 405650300
## 2226 2022-07-12 1051.55 1064.73 1037.15 1047.58 242093400
## 2227 2022-08-12 1061.99 1093.64 1055.63 1062.73 304556000
## 2228 2022-09-12 1069.38 1076.67 1051.62 1065.08 236860100
## 2229 2022-12-12 1071.27 1073.44 1037.42 1037.42 219916600
## 2230 2022-12-13 1038.63 1056.43 1028.37 1056.43 241921600
## 2231 2022-12-14 1056.76 1071.02 1052.25 1056.17 192525100
## 2232 2022-12-15 1055.80 1076.03 1055.49 1068.08 248619400
## 2233 2022-12-16 1061.58 1077.27 1058.88 1064.07 249610500
## 2234 2022-12-19 1063.72 1081.55 1050.22 1050.22 258388700
## 2235 2022-12-20 1048.17 1049.39 1015.66 1029.79 283476500
## 2236 2022-12-21 1041.05 1041.65 1011.90 1033.10 212814200
## 2237 2022-12-22 1033.72 1048.84 1031.29 1038.34 188500800
## 2238 2022-12-23 1037.91 1041.37 1022.51 1034.13 129851000
## 2239 2022-12-26 1032.42 1033.17 987.77 987.77 175227100
## 2240 2022-12-27 988.87 1015.01 985.67 1007.36 153659700
## 2241 2022-12-28 1009.19 1023.24 997.12 1013.95 123259200
## 2242 2022-12-29 1013.95 1022.15 1008.30 1008.30 121025100
## 2243 2022-12-30 1016.71 1017.45 1005.19 1005.19 95618200
## 2244 2023-03-01 1010.52 1047.25 1010.03 1047.25 159603100
## 2245 2023-04-01 1051.66 1059.01 1046.61 1050.15 172220100
## 2246 2023-05-01 1052.32 1065.99 1051.60 1061.90 164272100
## 2247 2023-06-01 1060.14 1075.33 1053.29 1057.40 192684700
## 2248 2023-09-01 1065.24 1068.77 1056.64 1061.14 126305900
## 2249 2023-10-01 1062.22 1066.08 1052.09 1060.53 126759300
## 2250 2023-11-01 1065.69 1076.22 1063.96 1065.22 161506400
## 2251 2023-12-01 1068.47 1072.81 1059.52 1066.24 113842100
## 2252 2023-01-13 1071.91 1077.45 1063.68 1069.86 149047500
## 2253 2023-01-16 1072.44 1076.97 1066.78 1075.71 126804200
## 2254 2023-01-17 1077.48 1103.73 1077.48 1103.73 207937100
## 2255 2023-01-18 1106.89 1117.23 1104.98 1115.72 152880900
## 2256 2023-01-19 1110.50 1126.12 1108.96 1121.92 198680900
## 2257 2023-01-27 1128.45 1142.08 1125.12 1130.65 166002800
## 2258 2023-01-30 1132.45 1132.97 1113.95 1113.95 199040000
## 2259 2023-01-31 1112.60 1125.07 1098.65 1125.07 197903400
## 2260 2023-01-02 1128.13 1130.20 1088.09 1088.09 285537600
## 2261 2023-02-02 1093.55 1099.39 1082.97 1093.48 164042900
## 2262 2023-03-02 1094.14 1095.87 1081.05 1085.70 184371900
## 2263 2023-06-02 1078.72 1094.45 1073.44 1094.37 144676700
## 2264 2023-07-02 1094.51 1096.93 1068.71 1069.50 192814800
## 2265 2023-08-02 1072.08 1082.89 1064.93 1073.38 154785200
## 2266 2023-09-02 1070.32 1076.48 1059.91 1059.91 137746100
## 2267 2023-10-02 1060.91 1064.53 1048.13 1048.74 112861800
## 2268 2023-02-13 1044.49 1045.60 1024.98 1040.40 156780900
## 2269 2023-02-14 1040.85 1042.96 1030.51 1034.93 110767700
## 2270 2023-02-15 1032.58 1048.85 1028.11 1043.34 180543800
## 2271 2023-02-16 1047.66 1055.26 1040.01 1055.26 122231200
## 2272 2023-02-17 1055.29 1057.59 1047.13 1053.72 121132100
## 2273 2023-02-20 1052.38 1087.36 1052.36 1087.36 190180000
## 2274 2023-02-21 1089.77 1096.35 1080.12 1080.90 162726500
## 2275 2023-02-22 1078.98 1078.98 1051.08 1051.08 185390800
## 2276 2023-02-23 1050.07 1050.95 1026.92 1050.95 171905400
## 2277 2023-02-24 1048.22 1048.27 1027.16 1030.42 95825600
## 2278 2023-02-27 1028.67 1028.67 1006.32 1011.46 135197000
## 2279 2023-02-28 1018.66 1026.65 1009.18 1014.96 89491700
## 2280 2023-01-03 1013.83 1034.43 1001.05 1034.43 116920400
## 2281 2023-02-03 1032.84 1037.73 1025.13 1028.73 89256500
## 2282 2023-03-03 1029.59 1033.71 1011.61 1013.35 87583900
## 2283 2023-06-03 1022.57 1034.56 1014.26 1014.26 116857200
## 2284 2023-07-03 1025.78 1037.97 1024.02 1027.16 144462100
## 2285 2023-08-03 1017.35 1040.59 1017.35 1040.59 141321700
## 2286 2023-09-03 1042.11 1056.56 1041.49 1050.28 184273800
## 2287 2023-10-03 1044.51 1049.45 1039.59 1047.20 128916400
## 2288 2023-03-13 1042.60 1053.64 1041.25 1050.07 194875200
## 2289 2023-03-14 1047.47 1049.35 1032.51 1037.35 168371200
## 2290 2023-03-15 1040.63 1064.65 1040.63 1064.38 188587900
## 2291 2023-03-16 1056.81 1059.61 1039.89 1046.99 149054800
## 2292 2023-03-17 1053.48 1055.20 1043.28 1047.71 181681000
## 2293 2023-03-20 1041.86 1042.07 1021.67 1024.50 145469200
## 2294 2023-03-21 1031.34 1036.18 1016.77 1035.04 138383800
## 2295 2023-03-22 1035.49 1046.48 1035.04 1043.14 138724000
## 2296 2023-03-23 1038.93 1046.60 1033.23 1046.60 112085300
## 2297 2023-03-24 1049.05 1056.67 1047.46 1051.42 157939400
## 2298 2023-03-27 1052.68 1059.65 1046.80 1056.45 163098000
## 2299 2023-03-28 1060.85 1064.68 1055.81 1058.82 188766000
## 2300 2023-03-29 1059.87 1061.45 1053.12 1061.45 136523400
## 2301 2023-03-30 1067.25 1073.93 1065.52 1067.24 182230700
## 2302 2023-03-31 1067.72 1078.15 1067.72 1073.68 187272600
## 2303 2023-03-04 1080.90 1088.83 1080.90 1088.72 231132900
## 2304 2023-04-04 1090.07 1091.13 1084.04 1088.34 181857200
## 2305 2023-05-04 1088.33 1089.83 1082.73 1089.83 193490600
## 2306 2023-06-04 1091.15 1093.99 1078.86 1078.86 233206600
## 2307 2023-07-04 1079.00 1080.90 1071.60 1078.88 139163100
## 2308 2023-10-04 1082.62 1087.60 1074.59 1077.41 192683500
## 2309 2023-11-04 1075.76 1082.89 1067.28 1081.71 179516400
## 2310 2023-12-04 1083.06 1084.26 1077.86 1080.69 196534500
## 2311 2023-04-13 1081.78 1082.21 1072.11 1074.67 156894000
## 2312 2023-04-14 1078.36 1079.87 1063.43 1063.43 173433400
## 2313 2023-04-17 1063.18 1065.40 1058.55 1065.02 96961600
## 2314 2023-04-18 1067.02 1068.54 1060.75 1064.55 122124500
## 2315 2023-04-19 1067.67 1067.74 1055.77 1056.14 140534200
## 2316 2023-04-20 1056.74 1057.82 1050.35 1053.61 83437900
## 2317 2023-04-21 1054.75 1055.48 1045.78 1046.18 147507300
## 2318 2023-04-24 1049.24 1054.00 1041.46 1046.17 104497200
## 2319 2023-04-25 1046.60 1051.54 1036.93 1037.04 121260900
## 2320 2023-04-26 1036.30 1045.24 1029.94 1045.24 125179500
## 2321 2023-04-27 1045.78 1048.26 1040.32 1041.54 105507800
## 2322 2023-04-28 1045.38 1051.43 1044.56 1051.43 140090700
## 2323 2023-04-05 1046.32 1047.82 1038.23 1039.64 126654000
## 2324 2023-05-05 1038.51 1042.11 1035.07 1038.46 91875600
## 2325 2023-08-05 1041.07 1050.56 1041.04 1049.72 147570400
## 2326 2023-09-05 1049.86 1054.49 1049.23 1049.67 104914000
## 2327 2023-10-05 1051.62 1055.36 1048.60 1054.99 124297100
## 2328 2023-11-05 1058.02 1061.48 1053.62 1054.93 129126500
## 2329 2023-12-05 1056.09 1066.44 1051.75 1066.44 168084800
## 2330 2023-05-15 1067.26 1080.72 1067.26 1070.90 198149300
## 2331 2023-05-16 1072.98 1073.66 1066.92 1069.64 126568900
## 2332 2023-05-17 1069.54 1073.87 1062.10 1062.10 153740400
## 2333 2023-05-18 1065.39 1076.86 1063.08 1070.76 146692200
## 2334 2023-05-19 1072.77 1072.77 1060.72 1068.84 122547300
## 2335 2023-05-22 1070.37 1073.89 1068.55 1073.74 141531300
## 2336 2023-05-23 1074.26 1076.89 1063.85 1068.05 171213100
## 2337 2023-05-24 1072.23 1072.52 1060.83 1061.55 155557400
## 2338 2023-05-25 1061.16 1064.24 1057.35 1062.15 137266500
## 2339 2023-05-26 1064.26 1064.95 1060.14 1060.81 110971200
## 2340 2023-05-29 1063.62 1070.97 1062.79 1069.77 133472100
## 2341 2023-05-30 1073.99 1074.46 1066.98 1071.82 169593000
## 2342 2023-05-31 1072.72 1074.30 1063.44 1066.33 193467500
## 2343 2023-01-06 1065.27 1068.09 1060.29 1068.09 162835700
## 2344 2023-02-06 1074.51 1089.22 1073.95 1086.96 263652700
## 2345 2023-05-06 1097.53 1100.37 1090.52 1091.08 215247800
## 2346 2023-06-06 1091.71 1102.32 1090.95 1102.32 198431300
## 2347 2023-07-06 1104.30 1107.09 1100.11 1105.68 266661200
## 2348 2023-08-06 1107.86 1110.87 1092.46 1092.46 279409500
## 2349 2023-09-06 1095.41 1100.85 1089.37 1100.85 198752900
## 2350 2023-12-06 1104.08 1109.63 1092.30 1109.63 180994000
## 2351 2023-06-13 1110.95 1115.39 1108.50 1115.39 237698000
## 2352 2023-06-14 1116.53 1123.86 1110.60 1110.60 230823000
## 2353 2023-06-15 1110.52 1113.23 1104.60 1108.57 171341000
## 2354 2023-06-16 1108.59 1125.62 1105.74 1109.06 320743100
## 2355 2023-06-19 1110.01 1111.21 1098.31 1098.94 193097900
## 2356 2023-06-20 1098.92 1104.27 1095.38 1104.27 145933900
## 2357 2023-06-21 1104.24 1112.07 1101.27 1112.07 185854600
## 2358 2023-06-22 1119.25 1122.60 1115.57 1117.60 199385600
## 2359 2023-06-23 1119.02 1127.29 1117.41 1126.76 231869300
## 2360 2023-06-26 1130.04 1134.11 1118.53 1131.23 238649500
## 2361 2023-06-27 1134.28 1135.65 1128.20 1134.41 174324200
## 2362 2023-06-28 1135.89 1143.53 1131.92 1141.12 254956300
## 2363 2023-06-29 1141.81 1142.72 1125.29 1125.29 218030600
## 2364 2023-06-30 1125.21 1127.28 1121.21 1123.13 158134100
## 2365 2023-03-07 1127.12 1130.09 1120.63 1123.37 140246800
## 2366 2023-04-07 1123.54 1128.35 1119.29 1128.00 163469800
## 2367 2023-05-07 1131.15 1134.68 1128.19 1129.76 212147700
## 2368 2023-06-07 1129.74 1131.54 1115.91 1119.44 224551900
## 2369 2023-07-07 1118.20 1129.43 1116.02 1129.43 163613500
## 2370 2023-10-07 1134.97 1143.16 1132.73 1143.16 247572700
## 2371 2023-11-07 1144.35 1152.16 1143.60 1146.67 233519300
## 2372 2023-12-07 1147.63 1150.88 1141.81 1146.54 223013000
## 2373 2023-07-13 1152.58 1156.11 1148.71 1156.11 187657600
## 2374 2023-07-14 1160.50 1162.16 1146.26 1160.59 287043800
## 2375 2023-07-17 1164.52 1166.76 1160.47 1164.58 238536000
## 2376 2023-07-18 1163.70 1167.81 1159.05 1166.82 221175000
## 2377 2023-07-19 1169.64 1171.07 1165.19 1165.19 198669400
## 2378 2023-07-20 1164.69 1168.26 1159.64 1168.26 218934700
## 2379 2023-07-21 1167.74 1186.60 1166.55 1186.60 243819000
## 2380 2023-07-24 1191.30 1194.04 1182.45 1193.14 265150200
## 2381 2023-07-25 1195.13 1202.39 1194.89 1198.01 253337500
## 2382 2023-07-26 1198.04 1201.43 1195.31 1201.43 247532300
## 2383 2023-07-27 1201.11 1205.35 1192.35 1199.68 263444700
## 2384 2023-07-28 1199.90 1212.45 1197.53 1212.45 251636000
## 2385 2023-07-31 1224.47 1230.81 1217.02 1230.81 294895700
## 2386 2023-01-08 1239.52 1240.99 1222.18 1222.18 328433400
## 2387 2023-02-08 1220.70 1226.12 1216.67 1221.32 218570500
## 2388 2023-03-08 1219.88 1223.94 1207.43 1210.80 264562500
## 2389 2023-04-08 1211.77 1231.42 1211.77 1231.42 321004800
## 2390 2023-07-08 1230.38 1250.68 1230.38 1250.68 284030100
## 2391 2023-08-08 1252.05 1254.21 1243.84 1247.81 232457500
## 2392 2023-09-08 1246.12 1248.52 1235.87 1239.84 249111600
## 2393 2023-10-08 1241.59 1243.16 1225.00 1226.20 204527400
## 2394 2023-11-08 1235.59 1240.77 1221.03 1240.77 234807300
## 2395 2023-08-14 1245.06 1245.96 1234.41 1243.43 228144000
## 2396 2023-08-15 1244.31 1244.62 1236.55 1241.24 185981200
## 2397 2023-08-16 1240.88 1257.57 1240.88 1256.95 248293000
## 2398 2023-08-17 1257.81 1259.50 1247.82 1247.82 281533700
## 2399 2023-08-18 1240.54 1243.69 1187.03 1190.10 424012300
## 2400 2023-08-21 1190.69 1199.60 1178.54 1190.32 259164600
## 2401 2023-08-22 1192.11 1195.97 1158.60 1193.51 266991500
## 2402 2023-08-23 1206.61 1207.84 1177.50 1182.97 225106400
## 2403 2023-08-24 1184.28 1201.95 1180.46 1201.88 189181900
## 2404 2023-08-25 1201.73 1203.26 1190.54 1193.93 186679900
## 2405 2023-08-28 1200.26 1213.61 1199.02 1213.40 187940700
## 2406 2023-08-29 1215.97 1217.89 1207.72 1215.47 206955300
## 2407 2023-08-30 1215.62 1227.68 1214.77 1225.56 214224800
## 2408 2023-08-31 1225.93 1235.71 1225.93 1234.53 195054200
## 2409 2023-05-09 1241.49 1248.97 1238.60 1244.64 252634300
## 2410 2023-06-09 1246.83 1260.03 1238.44 1260.03 250655300
## 2411 2023-07-09 1261.35 1268.05 1251.89 1255.22 274250200
## 2412 2023-08-09 1252.10 1258.33 1247.95 1249.14 228776300
## 2413 2023-11-09 1251.38 1259.48 1227.40 1230.71 328067100
## 2414 2023-12-09 1230.70 1255.83 1227.32 1255.83 213406700
## 2415 2023-09-13 1258.04 1260.37 1241.95 1247.95 296256400
## 2416 2023-09-14 1247.87 1255.75 1231.53 1234.06 287972500
## 2417 2023-09-15 1235.25 1244.82 1231.77 1238.81 273159500
## 2418 2023-09-18 1235.20 1236.53 1214.74 1223.70 210408600
## 2419 2023-09-19 1224.26 1229.61 1212.51 1225.50 226794700
## 2420 2023-09-20 1224.64 1237.21 1221.64 1234.57 192767800
## 2421 2023-09-21 1234.14 1235.30 1217.78 1219.19 254094500
## 2422 2023-09-22 1210.14 1210.14 1180.11 1197.69 362176600
## 2423 2023-09-25 1195.36 1199.65 1159.94 1159.94 263854600
## 2424 2023-09-26 1161.62 1174.24 1152.44 1153.37 242760200
## 2425 2023-09-27 1154.54 1168.60 1141.09 1168.60 190471800
## 2426 2023-09-28 1167.96 1168.09 1144.47 1164.45 193653000
## 2427 2023-09-29 1169.26 1176.77 1165.15 1166.26 144904400
## 2428 2023-02-10 1166.64 1173.06 1159.16 1167.13 119866100
## 2429 2023-03-10 1156.86 1158.38 1128.54 1130.89 260264000
## 2430 2023-04-10 1129.15 1146.21 1118.74 1138.54 159113300
## 2431 2023-05-10 1141.22 1143.34 1124.48 1124.48 131346300
## 2432 2023-06-10 1125.62 1141.93 1120.28 1139.78 137575000
## 2433 2023-09-10 1139.07 1150.37 1135.67 1150.37 146624800
## 2434 2023-10-10 1153.05 1163.47 1153.05 1160.28 155499600
## 2435 2023-11-10 1161.87 1167.29 1154.45 1167.29 113752100
## 2436 2023-12-10 1167.62 1172.14 1162.00 1165.49 142882900
## 2437 2023-10-13 1158.34 1167.61 1152.58 1166.66 149211400
## 2438 2023-10-16 1165.75 1168.02 1151.13 1153.21 173241000
## 2439 2023-10-17 1157.63 1160.30 1141.03 1141.03 141759900
## 2440 2023-10-18 1143.95 1144.89 1108.68 1125.56 233686700
## 2441 2023-10-19 1126.67 1126.86 1104.89 1104.89 166987900
## 2442 2023-10-20 1104.83 1125.63 1094.78 1123.69 154958000
## 2443 2023-10-23 1122.73 1123.28 1099.34 1106.85 131293600
## 2444 2023-10-24 1109.18 1121.39 1102.05 1117.12 111126400
## 2445 2023-10-25 1117.92 1124.85 1113.28 1113.32 105615900
## 2446 2023-10-26 1092.56 1094.96 1056.32 1064.95 311835600
## 2447 2023-10-27 1070.98 1074.01 1050.32 1067.57 169708400
## 2448 2023-10-30 1063.14 1066.38 1047.63 1047.63 130428600
## 2449 2023-10-31 1049.56 1053.05 1034.12 1039.38 192354100
## 2450 2023-01-11 1038.90 1051.65 1034.04 1051.65 166561800
## 2451 2023-02-11 1052.14 1087.50 1052.14 1087.50 195216900
## 2452 2023-03-11 1088.31 1095.71 1082.83 1086.19 203945000
## 2453 2023-06-11 1094.14 1104.04 1093.62 1103.52 169809800
## 2454 2023-07-11 1100.40 1101.70 1091.38 1092.71 133874300
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VN30_Index %>%
ggplot(aes(date, Closed_price, color = symbol))+
geom_line(show.legend = FALSE)+
labs(x = "Year" , y = "INDEX", title = "Figure 1: VN30 Index Trend")
VN30_Index %>%
group_by(symbol)%>%
mutate(Log_Price_Close = log(Closed_price)) %>%
ungroup() %>%
select(symbol,date,Log_Price_Close) -> VN30_Index_log
VN30_Index_Modified<-VN30_Index[,c(1,5)]
Date = as.Date(VN30_Index_Modified$date, format = "%Y%m%d")
VN30_Index_Modified<-VN30_Index_Modified[order(Date),]
VN30_Index_Modified1<-xts(x = VN30_Index_Modified$Closed_price, order.by = Date)
names(VN30_Index_Modified1)<- "VN30"
VN30.logret<- diff(log(VN30_Index_Modified1), lag = 1)
VN30.logret[1,]<- 0
hist(VN30.logret[1:1960] ,breaks=50,col="deeppink1",type="l")
## Warning in plot.window(xlim, ylim, "", ...): graphical parameter "type" is
## obsolete
## Warning in title(main = main, sub = sub, xlab = xlab, ylab = ylab, ...):
## graphical parameter "type" is obsolete
## Warning in axis(1, ...): graphical parameter "type" is obsolete
## Warning in axis(2, ...): graphical parameter "type" is obsolete
lines(x = density(x = VN30.logret[1:1960]), col = "blue")
plot(VN30.logret[1:1960], col = "deeppink1", lwd = 1)
ind.summary<- c("Average" = mean(VN30.logret[1:1960]) , "Standard Deviation" = sd(VN30.logret), "Skewness" = skewness(VN30.logret), "Kurtosis" = kurtosis(VN30.logret))
ind.summary %>%
kbl(caption = "Table 2: Data indicators summary", escape = TRUE)%>%
kable_classic(full_width = FALSE, html_font = "cambria")
Table 2: Data indicators summary
|
|
x
|
|
Average
|
0.0004452
|
|
Standard Deviation
|
0.0709336
|
|
Skewness.VN30
|
-0.1993389
|
|
Kurtosis.VN30
|
10.4149608
|
acf(VN30.logret[1:1960])
pacf(VN30.logret[1:1960])
adf.test(VN30.logret[1:1960])
## Warning in adf.test(VN30.logret[1:1960]): p-value smaller than printed p-value
##
## Augmented Dickey-Fuller Test
##
## data: VN30.logret[1:1960]
## Dickey-Fuller = -18.44, Lag order = 12, p-value = 0.01
## alternative hypothesis: stationary
kpss.test(VN30.logret[1:1960], null="Trend",lshort=FALSE)
## Warning in kpss.test(VN30.logret[1:1960], null = "Trend", lshort = FALSE):
## p-value greater than printed p-value
##
## KPSS Test for Trend Stationarity
##
## data: VN30.logret[1:1960]
## KPSS Trend = 0.038056, Truncation lag parameter = 25, p-value = 0.1
model.arima = auto.arima(VN30.logret[1:1960] , max.order = c(10,10,10) , stationary = TRUE , trace = T , ic = 'aicc')
##
## Fitting models using approximations to speed things up...
##
## ARIMA(2,0,2) with non-zero mean : -5863.833
## ARIMA(0,0,0) with non-zero mean : -5236.384
## ARIMA(1,0,0) with non-zero mean : -5659.806
## ARIMA(0,0,1) with non-zero mean : -5825.391
## ARIMA(0,0,0) with zero mean : -5238.292
## ARIMA(1,0,2) with non-zero mean : -5877.706
## ARIMA(0,0,2) with non-zero mean : -5828.298
## ARIMA(1,0,1) with non-zero mean : -5832.243
## ARIMA(1,0,3) with non-zero mean : -5881.408
## ARIMA(0,0,3) with non-zero mean : -5849.028
## ARIMA(2,0,3) with non-zero mean : -5866.024
## ARIMA(1,0,4) with non-zero mean : -5880.984
## ARIMA(0,0,4) with non-zero mean : -5857.6
## ARIMA(2,0,4) with non-zero mean : -5869.195
## ARIMA(1,0,3) with zero mean : -5879.599
##
## Now re-fitting the best model(s) without approximations...
##
## ARIMA(1,0,3) with non-zero mean : -5882.142
##
## Best model: ARIMA(1,0,3) with non-zero mean
model.arima
## Series: VN30.logret[1:1960]
## ARIMA(1,0,3) with non-zero mean
##
## Coefficients:
## ar1 ma1 ma2 ma3 mean
## 0.6968 -1.3230 0.4386 -0.0592 4e-04
## s.e. 0.0542 0.0577 0.0483 0.0243 2e-04
##
## sigma^2 = 0.0029: log likelihood = 2947.09
## AIC=-5882.18 AICc=-5882.14 BIC=-5848.7
model.arima$residuals %>% ggtsdisplay(plot.type = 'hist' , lag.max = 14)
ar.res = model.arima$residuals
Box.test(model.arima$residuals , lag = 7 , fitdf = 2 , type = 'Ljung-Box')
##
## Box-Ljung test
##
## data: model.arima$residuals
## X-squared = 10.46, df = 5, p-value = 0.06321
adf.test(model.arima$residuals)
## Warning in adf.test(model.arima$residuals): p-value smaller than printed
## p-value
##
## Augmented Dickey-Fuller Test
##
## data: model.arima$residuals
## Dickey-Fuller = -13.278, Lag order = 12, p-value = 0.01
## alternative hypothesis: stationary
kpss.test(model.arima$residuals, null="Trend",lshort=FALSE)
## Warning in kpss.test(model.arima$residuals, null = "Trend", lshort = FALSE):
## p-value greater than printed p-value
##
## KPSS Test for Trend Stationarity
##
## data: model.arima$residuals
## KPSS Trend = 0.11239, Truncation lag parameter = 25, p-value = 0.1
jarque.bera.test(model.arima$residuals)
##
## Jarque Bera Test
##
## data: model.arima$residuals
## X-squared = 3626.8, df = 2, p-value < 2.2e-16
pacf(model.arima$residuals)
tsdisplay(ar.res^2 , main = 'Squared Residuals')
model.spec = ugarchspec(variance.model = list(model = 'sGARCH', garchOrder = c(1, 1)),mean.model = list(armaOrder = c(0, 0)))
model.fit = ugarchfit(spec = model.spec , data = ar.res , solver = 'solnp')
model.fit@fit$matcoef
## Estimate Std. Error t value Pr(>|t|)
## mu -9.271511e-04 9.131351e-04 -1.015349 3.099393e-01
## omega 2.480356e-05 5.424337e-06 4.572644 4.816073e-06
## alpha1 5.276220e-02 6.637215e-03 7.949449 1.776357e-15
## beta1 9.392346e-01 6.602173e-03 142.261438 0.000000e+00
quantile(VN30.logret[1:1960] , 0.05)
## 5%
## -0.1000222
qplot(VN30.logret[1:1960] , geom = 'histogram') + geom_histogram(fill = 'lightblue' , bins = 30) +geom_histogram(aes(VN30.logret[1:1960][VN30.logret[1:1960] < quantile(VN30.logret[1:1960] , 0.05)]) , fill = 'red' , bins = 30) +labs(x = 'Daily Log Returns')
## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Don't know how to automatically pick scale for object of type <xts/zoo>.
## Defaulting to continuous.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
qqnorm(VN30.logret[1:1960])
qqline(VN30.logret[1:1960])
jarque.bera.test(ar.res^2)
##
## Jarque Bera Test
##
## data: ar.res^2
## X-squared = 473996, df = 2, p-value < 2.2e-16
jarque.bera.test(ar.res)
##
## Jarque Bera Test
##
## data: ar.res
## X-squared = 3626.8, df = 2, p-value < 2.2e-16
jarque.bera.test(VN30.logret[1:1960])
##
## Jarque Bera Test
##
## data: VN30.logret[1:1960]
## X-squared = 4174.7, df = 2, p-value < 2.2e-16
#create density plots
curve(dt(x, df=7), from=-4, to=4, col='blue')
curve(dt(x, df=30), from=-4, to=4, col='green', add=TRUE)
curve(dnorm(x, mean =0, sd=1), from=-4, to=4, col='red', add=TRUE)
#add legend
legend(-4, .3, legend=c("df=2", "df=30","normal"),
col=c("blue", "green","red"), lty=1, cex=1.2)
p2_1 = qplot(VN30.logret[1:1960] , geom = 'density') + geom_density(fill = 'blue' , alpha = 0.4) +
geom_density(aes(rnorm(200000 , 0 , sd(VN30.logret[1:1960]))) , fill = 'red' , alpha = 0.25) +
labs(x = '')
p2_2 = qplot(VN30.logret[1:1960] , geom = 'density') + geom_density(fill = 'blue' , alpha = 0.4) +
geom_density(aes(rnorm(200000 , 0 , sd(VN30.logret[1:1960]))) , fill = 'red' , alpha = 0.25) +
coord_cartesian(xlim = c(-0.07 , -0.02) , ylim = c(0 , 10)) +
geom_vline(xintercept = c(qnorm(p = c(0.01 ,0.025, 0.05, 0.1) , mean = mean(VN30.logret[1:1960]) , sd = sd(VN30.logret[1:1960]))) ,
color = c('darkgreen' , 'green', 'blue','red') , size = 1) + labs(x = 'Daily Log Returns')
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## i Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
grid.arrange(p2_1 , p2_2 , ncol = 1)
## Don't know how to automatically pick scale for object of type <xts/zoo>.
## Defaulting to continuous.
## Don't know how to automatically pick scale for object of type <xts/zoo>.
## Defaulting to continuous.
fitdist(distribution = 'std' , x = VN30.logret[1:1960])$pars
## mu sigma shape
## 0.00110026 0.31295155 2.01000001
shape <- fitdist(distribution = 'std' , x = VN30.logret[1:1960])$pars['shape']
cat("For a = 0.1 the quantile value of normal distribution is: ",
qnorm(p=0.1),"\n" ,
"For a = 0.1 the quantile value of t-distribution is: " ,
qdist(distribution = 'std' , shape = shape , p = 0.1) , "\n" , "\n" ,
"For a = 0.025 the quantile value of normal distribution is: ",
qnorm(p=0.025),"\n" ,
"For a = 0.025 the quantile value of t-distribution is: " ,
qdist(distribution = 'std' , shape = shape , p = 0.025) , "\n" , "\n" ,
"For a = 0.05 the quantile value of normal distribution is: " ,
qnorm(p = 0.05) , "\n" ,
"For a = 0.05 the quantile value of t-distribution is: " ,
qdist(distribution = 'std' , shape = shape , p = 0.05) , "\n" , "\n" ,
'For a = 0.01 the quantile value of normal distribution is: ' ,
qnorm(p = 0.01) , "\n" ,
"For a = 0.01 the quantile value of t-distribution is: " ,
qdist(distribution = 'std' , shape = shape , p = 0.01) , sep = "")
## For a = 0.1 the quantile value of normal distribution is: -1.281552
## For a = 0.1 the quantile value of t-distribution is: -0.1327103
##
## For a = 0.025 the quantile value of normal distribution is: -1.959964
## For a = 0.025 the quantile value of t-distribution is: -0.3020435
##
## For a = 0.05 the quantile value of normal distribution is: -1.644854
## For a = 0.05 the quantile value of t-distribution is: -0.2052629
##
## For a = 0.01 the quantile value of normal distribution is: -2.326348
## For a = 0.01 the quantile value of t-distribution is: -0.4879308
# CL 99%
qbinom(0.95,494,0.01,lower.tail=TRUE,log.p=FALSE)
## [1] 9
#32
qbinom(0.9999,494,0.01,lower.tail=TRUE,log.p=FALSE)
## [1] 15
# CL 97.5%
qbinom(0.95,494,0.025,lower.tail=TRUE,log.p=FALSE)
## [1] 18
qbinom(0.9999,494,0.025,lower.tail=TRUE,log.p=FALSE)
## [1] 27
# CL 95%
qbinom(0.95,494,0.05,lower.tail=TRUE,log.p=FALSE)
## [1] 33
qbinom(0.9999,494,0.05,lower.tail=TRUE,log.p=FALSE)
## [1] 44
# CL 90%
qbinom(0.95,494,0.1,lower.tail=TRUE,log.p=FALSE)
## [1] 61
qbinom(0.9999,494,0.1,lower.tail=TRUE,log.p=FALSE)
## [1] 76
binom_sum <- function(size, prob, lb, ub, col = 4, lwd = 1, ...) {
x <- 0:size
if (missing(lb)) {
lb <- min(x)
}
if (missing(ub)) {
ub <- max(x)
}
plot(dbinom(x, size = size, prob = prob), type = "h", lwd = lwd, ...)
if(lb == min(x) & ub == max(x)) {
color <- col
} else {
color <- rep(1, length(x))
color[(lb + 1):ub ] <- col
}
lines(dbinom(x, size = size, prob = prob), type = "h",
col = color, lwd = lwd, ...)
}
binom_sum(size = 494, prob = 0.01, ub =5, lwd = 1,
ylab = "P(X = x)", xlab = "Number of successes")
binom_sum(size = 494, prob = 0.01, ub =10, lwd = 1,
ylab = "P(X = x)", xlab = "Number of successes")
model.roll = ugarchroll(spec = model.spec , data = VN30.logret , n.start = 1960 , ,refit.window = 'moving')
VaR90_td = model.roll@forecast$density[,'Sigma']*qdist(distribution='std', shape=shape, p=0.1)
qplot(y = VaR90_td , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR90_td)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with GARCH approach: ' , (sum(VN30.logret[1961:2454] < VaR90_td)) , sep = '')
## Number of exceptions with GARCH approach: 135
VaRTest(alpha=0.1,actual=VN30.logret[1961:2454],VaR=VaR90_td,conf.level = 0.95)
## $expected.exceed
## [1] 49
##
## $actual.exceed
## [1] 135
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 117.8914
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 118.1979
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist <- function(alpha, actual, var)
{
n00 <- 0
n01 <- 0
n10 <- 0
n11 <- 0
if (actual[1]<var[1])
{
n01 <- n01+1
}
if (actual[1]>var[1])
{
n00 <- n00+1
}
for (i in 2:length(var))
{
if (actual[i]<var[i] & actual[i-1] < var[i-1])
{
n11 <- n11+1
}
if (actual[i]<var[i] & actual[i-1] > var[i-1])
{
n01 <- n01+1
}
if (actual[i]>var[i] & actual[i-1] > var[i-1])
{
n00 <- n00+1
}
if (actual[i]>var[i] & actual[i-1] < var[i-1])
{
n10 <- n10+1
}
}
pi0 <- n01/(n00+n01)
pi1 <- n11/(n10+n11)
pi <- (n01+n11)/(n10+n11+n00+n01)
tuso <- (1-pi)^(n00+n10)*pi^(n01+n11)
mauso <- (1-pi0)^n00*pi0^n01*(1-pi1)^n10*pi1^n11
z <- -2*log(tuso/mauso)
if (z < qchisq(p=1-alpha, df=1, ncp = 0, lower.tail = TRUE, log.p = FALSE))
{
cat("Accept H0 with LRstat is: ",z)
}
if (z > qchisq(p=1-alpha, df=1, ncp = 0, lower.tail = TRUE, log.p = FALSE))
{
cat("Reject H0 with LRstat is: ",z)
}
}
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR90_td)
## Accept H0 with LRstat is: 0.3572901
VaRDurTest_Haas <- function(alpha, actual, var,conf)
{
vec <- c(0)
stat <- c()
for (i in 1:length(var))
{
if (actual[i]<var[i])
{
vec <- cbind(vec,i)
}
}
for (j in 1:length(vec))
{
stat[j] <- -2*log((alpha*(1-alpha)^(vec[j+1]-vec[j]-1))/
((1/(vec[j+1]-vec[j]))*(1-(1/(vec[j+1]-vec[j])))^(vec[j+1]-vec[j]-1)))
}
z <- sum(na.omit(stat))
if (z < qchisq(p=conf, df=length(vec)-1, ncp = 0, lower.tail = TRUE, log.p = FALSE))
{
cat("Accept H0 with LRstat is: ",z)
}
if (z > qchisq(p=conf, df=length(vec)-1, ncp = 0, lower.tail = TRUE, log.p = FALSE))
{
cat("Reject H0 with LRstat is: ",z)
}
}
VaRDurTest_Haas(alpha=0.1,actual=as.numeric(VN30.logret[1961:2454]),var=VaR90_td,conf=0.95)
## Reject H0 with LRstat is: 262.6247
my_function <- function(x)
{
qt(p=x,df=shape)
}
ES90_td = (1/(1-0.1))*model.roll@forecast$density[,'Sigma']*integrate(my_function,lower = 0.0000001,upper = 0.1)$value*(1/(shape-1))*(shape+(qt(p=0.1,df=shape))^2)
qplot(y = VaR90_td , x = 1:494 , geom = 'line') +
geom_line(aes(x=1:494,y=ES90_td,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR90_td)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
# Acerbi/Szekely - Test 1 (2014)
as1 = function(x,var,es){
# Inputs:
# x | time series
# var | VaR prediction
# es | ES prediction
# Output:
# z | test statistic
z = 0
n = length(x)
nt= 0
for (i in 1:n)
{
if (x[i] < as.numeric(var[i]))
{
nt = nt + 1
z = z + x[i]/as.numeric(-es[i])
}
}
z = z/nt + 1
return(z)
}
z1_90 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR90_td,es=ES90_td)
z1_90
## [1] 0.545887
# Acerbi/Szekely - Test 2 (2014)
as2 = function(x,var,es,alpha){
# Inputs:
# x | time series
# var | VaR prediction
# es | ES prediction
# alpha | confidence level
# Output:
# z | test statistic
n = length(x)
z = 0
for (i in 1:n){
if (x[i] < var[i])
{
z = z + (x[i])/(n*alpha*-es[i])
}
}
z = z+1
return(z)
}
z2_90 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR90_td,es=ES90_td,alpha=0.05)
z2_90
## [1] -1.481994
forc <- c(as.numeric(VN30.logret[1:1960]),model.roll@forecast$density[,'Sigma'])*rdist(distribution='std', shape=shape, n=490)
## Warning in c(as.numeric(VN30.logret[1:1960]), model.roll@forecast$density[, :
## longer object length is not a multiple of shorter object length
DoGARCH_VaR <- function(y, probability, portfolio_value = 1, WE)
{
# Number of observations
n <- length(y)
# Initialize empty VaR vector
VaR <- rep(0, n)
# Do a loop for the forecast
for (i in 1:(n-WE)){
# Subset the dataset to the estimation window
window <- y[i:(i+WE-1)]
op <- ceiling(length(window)*probability)
# Allocate the VaR forecast in the vector
VaR[i+WE] <- sort(as.numeric(window))[op]
}
# Return the VaR vector
return(VaR)
}
VaR_90_his <- DoGARCH_VaR(y=forc, probability=0.1, WE=1960)
VaR_90_his <- VaR_90_his[1961:2454]
qplot(y = VaR_90_his , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_90_his)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with His approach: ' , (sum(VN30.logret[1961:2454] < VaR_90_his)) , sep = '')
## Number of exceptions with His approach: 171
VaRTest(alpha=0.1,actual=VN30.logret[1:494],VaR=VaR_90_his,conf.level = 0.95)
## $expected.exceed
## [1] 49
##
## $actual.exceed
## [1] 175
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 230.8867
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 241.1878
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRTest(alpha=0.1,actual=VN30.logret[1961:2454],VaR=VaR_90_his,conf.level = 0.95)
## $expected.exceed
## [1] 49
##
## $actual.exceed
## [1] 171
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 218.2542
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 219.1083
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_90_his)
## Accept H0 with LRstat is: 0.9369695
VaRDurTest_Haas(alpha=0.1,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_90_his,conf=0.95)
## Reject H0 with LRstat is: 384.7857
DoGARCH_ES <- function(y, probability, portfolio_value = 1, WE)
{
# Number of observations
n <- length(y)
# Initialize empty VaR vector
ES <- rep(0, n)
# Do a loop for the forecast
for (i in 1:(n-WE)){
# Subset the dataset to the estimation window
window <- y[i:(i+WE-1)]
op <- ceiling(length(window)*probability)
# Allocate the VaR forecast in the vector
ES[i+WE] <- mean(sort(window)[1:op])
}
# Return the VaR vector
return(ES)
}
ES_90_his <- DoGARCH_ES(y=forc, probability=0.1, WE=1960)
ES_90_his <- ES_90_his[1961:2454]
qplot(y = VaR_90_his , x = 1:494 , geom = 'line') +
geom_line(aes(x=1:494,y=ES_90_his,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_90_his)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
z1_his_90 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR_90_his,es=ES_90_his)
z1_his_90
## [1] -3.536086
z2_his_90 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR_90_his,es=ES_90_his,alpha=0.05)
z2_his_90
## [1] -30.40367
model.roll = ugarchroll(spec = model.spec , data = VN30.logret , n.start = 1960 , ,refit.window = 'moving')
VaR95_td = model.roll@forecast$density[,'Sigma']*qdist(distribution='std', shape=shape, p=0.05)
qplot(y = VaR95_td , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR95_td)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with GARCH approach: ' , (sum(VN30.logret[1961:2454] < VaR95_td)) , sep = '')
## Number of exceptions with GARCH approach: 120
VaRTest(alpha=0.05,actual=VN30.logret[1961:2454],VaR=VaR95_td,conf.level = 0.95)
## $expected.exceed
## [1] 24
##
## $actual.exceed
## [1] 120
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 209.5794
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 209.6112
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR95_td)
## Accept H0 with LRstat is: 0.04975041
VaRDurTest_Haas(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR95_td,conf=0.95)
## Reject H0 with LRstat is: 344.1655
ES95_td = (1/(1-0.05))*model.roll@forecast$density[,'Sigma']*integrate(my_function,lower = 0.0000001,upper = 0.05)$value*(1/(shape-1))*(shape+(qt(p=0.05,df=shape))^2)
qplot(y = VaR95_td , x = 1:494, geom = 'line') +
geom_line(aes(x=1:494,y=ES95_td,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR95_td)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
VN30.logret1 <- diff(log(VN30_Index_Modified$Closed_price),lag=1)
z1_95 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR95_td,es=ES95_td)
z1_95
## [1] 0.6123557
z2_95 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR95_td,es=ES95_td,alpha=0.05)
z2_95
## [1] -0.883292
VaR_95_his <- DoGARCH_VaR(y=forc, probability=0.05, WE=1960)
VaR_95_his <- VaR_95_his[1961:2454]
qplot(y = VaR_95_his , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_95_his)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with His approach: ' , (sum(VN30.logret[1961:2454] < VaR_95_his)) , sep = '')
## Number of exceptions with His approach: 136
VaRTest(alpha=0.05,actual=VN30.logret[1961:2454],VaR=VaR_95_his,conf.level = 0.95)
## $expected.exceed
## [1] 24
##
## $actual.exceed
## [1] 136
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 270.1638
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 270.4224
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest(alpha=0.05,actual=VN30.logret[1961:2454],VaR=VaR_95_his,conf.level = 0.95)
## $b
## [1] 1.394969
##
## $uLL
## [1] -298.8656
##
## $rLL
## [1] -310.1302
##
## $LRp
## [1] 2.069719e-06
##
## $H0
## [1] "Duration Between Exceedances have no memory (Weibull b=1 = Exponential)"
##
## $Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_95_his)
## Accept H0 with LRstat is: 0.2415704
VaRDurTest_Haas(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_95_his,conf=0.95)
## Reject H0 with LRstat is: 408.9622
ES_95_his <- DoGARCH_ES(y=forc, probability=0.05, WE=1960)
ES_95_his <- ES_95_his[1961:2454]
qplot(y = VaR_95_his , x = 1:494 , geom = 'line') +
geom_line(aes(x=1:494,y=ES_95_his,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_95_his)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
z1_his_95 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR_95_his,es=ES_95_his)
z1_his_95
## [1] -2.579234
z2_his_95 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR_95_his,es=ES_95_his,alpha=0.05)
z2_his_95
## [1] -18.70752
model.roll = ugarchroll(spec = model.spec , data = VN30.logret , n.start = 1960 , ,refit.window = 'moving')
VaR975_td = model.roll@forecast$density[,'Sigma']*qdist(distribution='std', shape=shape, p=0.025)
qplot(y = VaR975_td , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR975_td)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with GARCH approach: ' , (sum(VN30.logret[1961:2454] < VaR975_td)) , sep = '')
## Number of exceptions with GARCH approach: 101
VaRTest(alpha=0.025,actual=VN30.logret[1961:2454],VaR=VaR975_td,conf.level = 0.95)
## $expected.exceed
## [1] 12
##
## $actual.exceed
## [1] 101
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 264.6171
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 264.6354
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR975_td)
## Accept H0 with LRstat is: 0.01535075
VaRDurTest_Haas(alpha=0.025,actual=as.numeric(VN30.logret[1961:2454]),var=VaR975_td,conf=0.95)
## Reject H0 with LRstat is: 376.6435
ES975_td = (1/(1-0.025))*model.roll@forecast$density[,'Sigma']*integrate(my_function,lower = 0.0000001,upper = 0.025)$value*(1/(shape-1))*(shape+(qt(p=0.025,df=shape))^2)
qplot(y = VaR975_td , x = 1:494 , geom = 'line') +
geom_line(aes(x=1:494,y=ES975_td,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR975_td)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
z1_975 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR975_td,es=ES975_td)
z1_975
## [1] 0.6690893
z2_975 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR975_td,es=ES975_td,alpha=0.05)
z2_975
## [1] -0.3531164
VaR_975_his <- DoGARCH_VaR(y=forc, probability=0.025, WE=1960)
VaR_975_his <- VaR_975_his[1961:2454]
qplot(y = VaR_975_his , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_975_his)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with His approach: ' , (sum(VN30.logret[1961:2454] < VaR_975_his)) , sep = '')
## Number of exceptions with His approach: 112
VaRTest(alpha=0.025,actual=VN30.logret[1961:2454],VaR=VaR_975_his,conf.level = 0.95)
## $expected.exceed
## [1] 12
##
## $actual.exceed
## [1] 112
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 316.7918
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 318.0062
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_975_his)
## Accept H0 with LRstat is: 1.185826
VaRDurTest_Haas(alpha=0.025,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_975_his,conf=0.95)
## Reject H0 with LRstat is: 427.0833
ES_975_his <- DoGARCH_ES(y=forc, probability=0.025, WE=1960)
ES_975_his <- ES_975_his[1961:2454]
qplot(y = VaR_975_his , x = 1:494, geom = 'line') +
geom_line(aes(x=1:494,y=ES_975_his,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_975_his)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
z1_his_975 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR_975_his,es=ES_975_his)
z1_his_975
## [1] -1.821391
z2_his_975 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR_975_his,es=ES_975_his,alpha=0.05)
z2_his_975
## [1] -11.79335
model.roll = ugarchroll(spec = model.spec , data = VN30.logret , n.start = 1960 , ,refit.window = 'moving')
VaR99_td = model.roll@forecast$density[,'Sigma']*qdist(distribution='std', shape=shape, p=0.01)
qplot(y = VaR99_td , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR99_td)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with GARCH approach: ' , (sum(VN30.logret[1961:2454] < VaR99_td)) , sep = '')
## Number of exceptions with GARCH approach: 81
VaRTest(alpha=0.01,actual=VN30.logret[1961:2454],VaR=VaR99_td,conf.level = 0.95)
## $expected.exceed
## [1] 4
##
## $actual.exceed
## [1] 81
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 313.5025
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 313.8663
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR99_td)
## Accept H0 with LRstat is: 0.3745313
VaRDurTest_Haas(alpha=0.01,actual=as.numeric(VN30.logret[1961:2454]),var=VaR99_td,conf=0.95)
## Reject H0 with LRstat is: 413.1763
alpha=0.01
actual=as.numeric(VN30.logret[1961:2454])
var=VaR99_td
vec <- c(0)
stat <- c()
for (i in 1:length(var))
{
if (actual[i]<var[i])
{
vec <- cbind(vec,i)
}
}
for (j in 1:length(vec))
{
stat[j] <- -2*log((alpha*(1-alpha)^(vec[j+1]-vec[j]-1))/
((1/(vec[j+1]-vec[j]))*(1-(1/(vec[j+1]-vec[j])))^(vec[j+1]-vec[j]-1)))
}
z <- sum(na.omit(stat))
ES99_td = (1/(1-0.01))*model.roll@forecast$density[,'Sigma']*integrate(my_function,lower = 0.0000001,upper = 0.01)$value*(1/(shape-1))*(shape+(qt(p=0.01,df=shape))^2)
qplot(y = VaR99_td , x = 1:494 , geom = 'line') +
geom_line(aes(x=1:494,y=ES99_td,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR99_td)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
z1_99 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR99_td,es=ES99_td)
z1_99
## [1] 0.7443275
z2_99<- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR99_td,es=ES99_td,alpha=0.05)
z2_99
## [1] 0.1615597
VaR_99_his <- DoGARCH_VaR(y=forc, probability=0.01, WE=1960)
VaR_99_his <- VaR_99_his[1961:2454]
qplot(y = VaR_99_his , x = 1:494 , geom = 'line') +
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_99_his)) , size = 2) + scale_color_manual(values = c('gray' , 'red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
cat('Number of exceptions with His approach: ' , (sum(VN30.logret[1961:2454] < VaR_99_his)) , sep = '')
## Number of exceptions with His approach: 90
VaRTest(alpha=0.01,actual=VN30.logret[1961:2454],VaR=VaR_99_his,conf.level = 0.95)
## $expected.exceed
## [1] 4
##
## $actual.exceed
## [1] 90
##
## $uc.H0
## [1] "Correct Exceedances"
##
## $uc.LRstat
## [1] 368.0552
##
## $uc.critical
## [1] 3.841459
##
## $uc.LRp
## [1] 0
##
## $uc.Decision
## [1] "Reject H0"
##
## $cc.H0
## [1] "Correct Exceedances & Independent"
##
## $cc.LRstat
## [1] 368.0608
##
## $cc.critical
## [1] 5.991465
##
## $cc.LRp
## [1] 0
##
## $cc.Decision
## [1] "Reject H0"
VaRDurTest_Chist(alpha=0.05,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_99_his)
## Accept H0 with LRstat is: 0.004246574
VaRDurTest_Haas(alpha=0.01,actual=as.numeric(VN30.logret[1961:2454]),var=VaR_99_his,conf=0.95)
## Reject H0 with LRstat is: 467.5726
ES_99_his <- DoGARCH_ES(y=forc, probability=0.01, WE=1960)
ES_99_his <- ES_99_his[1961:2454]
qplot(y = VaR_99_his , x = 1:494 , geom = 'line') +
geom_line(aes(x=1:494,y=ES_99_his,color='green'))+
geom_point(aes(x = 1:494 , y = VN30.logret[1961:2454] , color = as.factor(VN30.logret[1961:2454] < VaR_99_his)) , size = 2) + scale_color_manual(values = c('gray' , 'green','red')) +
labs(y = 'Daily Log Returns' , x = 'Test set Observation') + theme_light() +
theme(legend.position = 'none')
z1_his_99 <- as1(x=as.numeric(VN30.logret[1961:2454]),var=VaR_99_his,es=ES_99_his)
z1_his_99
## [1] -1.108143
z2_his_99 <- as2(x=as.numeric(VN30.logret[1961:2454]),var=VaR_99_his,es=ES_99_his,alpha=0.01)
z2_his_99
## [1] -37.40746