library(readr)
## Warning: package 'readr' was built under R version 4.4.2
library(ggplot2)
library(forecast)
## Warning: package 'forecast' was built under R version 4.4.2
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo
library(tseries)
## Warning: package 'tseries' was built under R version 4.4.2
library(car)
## Warning: package 'car' was built under R version 4.4.2
## Loading required package: carData
## Warning: package 'carData' was built under R version 4.4.2
data <- read.csv("saham bank mandiri.csv", sep = ";", stringsAsFactors = FALSE)
data
## Date Open High Low Close Volume
## 1 01/04/2021 15:00 3175.0 3262.5 3112.5 3250.0 30529000
## 2 01/05/2021 15:00 3275.0 3275.0 3200.0 3212.5 34964100
## 3 01/06/2021 15:00 3212.5 3262.5 3137.5 3212.5 43554500
## 4 01/07/2021 16:00 3225.0 3262.5 3212.5 3237.5 40057100
## 5 01/08/2021 16:00 3237.5 3287.5 3225.0 3275.0 46817800
## 6 01/11/2021 15:00 3287.5 3425.0 3275.0 3425.0 106381500
## 7 01/12/2021 15:00 3450.0 3500.0 3412.5 3475.0 84313000
## 8 1/13/2021 15:00:00 3525.0 3537.5 3462.5 3462.5 53696100
## 9 1/14/2021 15:00:00 3525.0 3525.0 3412.5 3425.0 35147500
## 10 1/15/2021 15:00:00 3437.5 3462.5 3312.5 3362.5 38617800
## 11 1/18/2021 15:00:00 3300.0 3475.0 3300.0 3462.5 59503400
## 12 1/19/2021 15:00:00 3500.0 3512.5 3425.0 3487.5 38917300
## 13 1/20/2021 15:00:00 3500.0 3725.0 3500.0 3687.5 110467300
## 14 1/21/2021 15:00:00 3687.5 3687.5 3600.0 3625.0 41026000
## 15 1/22/2021 15:00:00 3637.5 3675.0 3562.5 3600.0 58683600
## 16 1/25/2021 15:00:00 3625.0 3650.0 3512.5 3650.0 50323800
## 17 1/26/2021 15:00:00 3650.0 3725.0 3625.0 3687.5 103356200
## 18 1/27/2021 15:00:00 3700.0 3700.0 3587.5 3650.0 85790700
## 19 1/28/2021 15:00:00 3575.0 3625.0 3450.0 3525.0 67872500
## 20 1/29/2021 15:00:00 3550.0 3612.5 3287.5 3287.5 167113800
## 21 02/01/2021 15:00 3325.0 3362.5 3100.0 3350.0 121270100
## 22 02/02/2021 15:00 3400.0 3400.0 3200.0 3237.5 80241400
## 23 02/03/2021 15:00 3300.0 3325.0 3225.0 3250.0 83522300
## 24 02/04/2021 15:00 3287.5 3337.5 3225.0 3287.5 69520200
## 25 02/05/2021 15:00 3350.0 3350.0 3225.0 3275.0 48599800
## 26 02/08/2021 15:00 3300.0 3337.5 3275.0 3287.5 62525400
## 27 02/09/2021 15:00 3300.0 3350.0 3225.0 3250.0 104190200
## 28 02/10/2021 15:00 3287.5 3287.5 3237.5 3250.0 51346800
## 29 02/11/2021 15:00 3275.0 3275.0 3250.0 3250.0 17939700
## 30 2/15/2021 15:00:00 3275.0 3287.5 3250.0 3250.0 24497600
## 31 2/16/2021 15:00:00 3250.0 3275.0 3225.0 3237.5 31601000
## 32 2/17/2021 15:00:00 3225.0 3237.5 3150.0 3175.0 58706800
## 33 2/18/2021 15:00:00 3125.0 3200.0 3112.5 3125.0 56994500
## 34 2/19/2021 15:00:00 3125.0 3200.0 3100.0 3187.5 51010200
## 35 2/22/2021 15:00:00 3225.0 3250.0 3187.5 3187.5 53840300
## 36 2/23/2021 16:00:00 3150.0 3187.5 3150.0 3162.5 44553900
## 37 2/24/2021 15:00:00 3175.0 3200.0 3162.5 3187.5 41249300
## 38 2/25/2021 15:00:00 3212.5 3237.5 3137.5 3137.5 66807400
## 39 2/26/2021 15:00:00 3087.5 3162.5 3050.0 3075.0 123095300
## 40 03/01/2021 15:00 3112.5 3300.0 3112.5 3287.5 110392700
## 41 03/02/2021 15:00 3325.0 3325.0 3250.0 3300.0 81648300
## 42 03/03/2021 15:00 3337.5 3337.5 3262.5 3300.0 39266100
## 43 03/04/2021 15:00 3312.5 3325.0 3262.5 3275.0 60306300
## 44 03/05/2021 15:00 3262.5 3287.5 3225.0 3237.5 43619500
## 45 03/08/2021 16:00 3275.0 3287.5 3187.5 3212.5 27049000
## 46 03/09/2021 15:00 3187.5 3262.5 3187.5 3212.5 55919400
## 47 03/10/2021 15:00 3250.0 3250.0 3225.0 3250.0 25951500
## 48 03/12/2021 15:00 3275.0 3375.0 3275.0 3362.5 79601200
## 49 3/15/2021 15:00:00 3387.5 3387.5 3312.5 3325.0 39961200
## 50 3/16/2021 15:00:00 3325.0 3362.5 3250.0 3275.0 56124200
## 51 3/17/2021 15:00:00 3300.0 3325.0 3262.5 3262.5 25420600
## 52 3/18/2021 15:00:00 3312.5 3425.0 3312.5 3400.0 76213800
## 53 3/19/2021 15:00:00 3400.0 3400.0 3350.0 3387.5 75356900
## 54 3/22/2021 15:00:00 3375.0 3412.5 3312.5 3312.5 57989600
## 55 3/23/2021 15:00:00 3375.0 3375.0 3312.5 3337.5 48644800
## 56 3/24/2021 15:00:00 3250.0 3262.5 3200.0 3212.5 57627100
## 57 3/25/2021 15:00:00 3225.0 3237.5 3162.5 3200.0 35833300
## 58 3/26/2021 15:00:00 3225.0 3237.5 3175.0 3212.5 42239000
## 59 3/29/2021 15:00:00 3200.0 3250.0 3187.5 3187.5 39760200
## 60 3/30/2021 15:00:00 3200.0 3212.5 3137.5 3162.5 20590300
## 61 3/31/2021 15:00:00 3125.0 3162.5 3062.5 3075.0 79577900
## 62 04/01/2021 15:00 3125.0 3162.5 3075.0 3100.0 38857600
## 63 04/05/2021 15:00 3150.0 3150.0 3100.0 3112.5 19734200
## 64 04/06/2021 15:00 3112.5 3150.0 3075.0 3137.5 14825300
## 65 04/07/2021 15:00 3150.0 3162.5 3125.0 3162.5 23210100
## 66 04/08/2021 15:00 3125.0 3187.5 3100.0 3137.5 44224800
## 67 04/09/2021 15:00 3187.5 3275.0 3162.5 3237.5 63210100
## 68 04/12/2021 15:00 3212.5 3250.0 3137.5 3150.0 24214500
## 69 4/13/2021 15:00:00 3100.0 3175.0 3100.0 3150.0 38163500
## 70 4/14/2021 15:00:00 3175.0 3200.0 3125.0 3162.5 40457000
## 71 4/15/2021 15:00:00 3200.0 3200.0 3112.5 3150.0 34168700
## 72 4/16/2021 15:00:00 3175.0 3175.0 3125.0 3150.0 31597200
## 73 4/19/2021 15:00:00 3125.0 3137.5 3100.0 3112.5 21799300
## 74 4/20/2021 15:00:00 3100.0 3125.0 3087.5 3100.0 31941300
## 75 4/21/2021 15:00:00 3075.0 3087.5 3062.5 3062.5 32712800
## 76 4/22/2021 15:00:00 3087.5 3112.5 3050.0 3062.5 35726000
## 77 4/23/2021 15:00:00 3025.0 3075.0 3012.5 3075.0 52464200
## 78 4/26/2021 15:00:00 3050.0 3062.5 2975.0 2987.5 57652500
## 79 4/27/2021 15:00:00 2987.5 3037.5 2975.0 3025.0 48425400
## 80 4/28/2021 15:00:00 3050.0 3137.5 3050.0 3100.0 80581300
## 81 4/29/2021 15:00:00 3112.5 3137.5 3075.0 3112.5 41435300
## 82 4/30/2021 15:00:00 3112.5 3125.0 3062.5 3087.5 34970800
## 83 05/03/2021 16:00 3050.0 3075.0 3000.0 3025.0 32667000
## 84 05/04/2021 16:00 3025.0 3050.0 2987.5 3050.0 28177600
## 85 05/05/2021 15:00 3075.0 3075.0 3025.0 3025.0 22925900
## 86 05/06/2021 15:00 3062.5 3062.5 3012.5 3037.5 18545500
## 87 05/07/2021 15:00 3062.5 3062.5 2975.0 2975.0 32665900
## 88 05/10/2021 16:00 3012.5 3012.5 2975.0 2987.5 17740700
## 89 05/11/2021 16:00 3000.0 3000.0 2925.0 2950.0 34690900
## 90 5/17/2021 15:00:00 2987.5 3000.0 2937.5 2962.5 47549900
## 91 5/18/2021 15:00:00 2987.5 3000.0 2912.5 2950.0 36982600
## 92 5/19/2021 15:00:00 2900.0 2925.0 2812.5 2837.5 49218000
## 93 5/20/2021 15:00:00 2825.0 2875.0 2800.0 2825.0 34805000
## 94 5/21/2021 15:00:00 2862.5 2950.0 2837.5 2912.5 70226500
## 95 5/24/2021 15:00:00 2937.5 2937.5 2875.0 2875.0 27448800
## 96 5/25/2021 15:00:00 2887.5 2975.0 2887.5 2950.0 45297200
## 97 5/27/2021 15:00:00 3000.0 3000.0 2875.0 2875.0 176944900
## 98 5/28/2021 15:00:00 2912.5 2950.0 2887.5 2900.0 39152900
## 99 5/31/2021 15:00:00 2937.5 3050.0 2912.5 3000.0 48330000
## 100 06/02/2021 15:00 3075.0 3100.0 3037.5 3050.0 78667800
## 101 06/03/2021 15:00 3087.5 3137.5 3062.5 3125.0 43213200
## 102 06/04/2021 15:00 3125.0 3162.5 3062.5 3062.5 38153900
## 103 06/07/2021 15:00 3100.0 3100.0 3037.5 3062.5 21257200
## 104 06/08/2021 15:00 3075.0 3075.0 3000.0 3000.0 28542000
## 105 06/09/2021 15:00 3037.5 3087.5 3000.0 3075.0 23539300
## 106 06/10/2021 15:00 3087.5 3125.0 3062.5 3100.0 21771800
## 107 06/11/2021 15:00 3137.5 3150.0 3112.5 3137.5 38878900
## 108 6/14/2021 16:00:00 3150.0 3150.0 3112.5 3137.5 25021700
## 109 6/15/2021 15:00:00 3150.0 3162.5 3112.5 3162.5 53593900
## 110 6/16/2021 15:00:00 3162.5 3175.0 3100.0 3137.5 45025800
## 111 6/17/2021 15:00:00 3125.0 3137.5 3100.0 3100.0 73258600
## 112 6/18/2021 15:00:00 3087.5 3100.0 2975.0 3100.0 100667700
## 113 6/21/2021 16:00:00 3050.0 3050.0 2975.0 3012.5 69474600
## 114 6/22/2021 15:00:00 3037.5 3125.0 3012.5 3087.5 48340300
## 115 6/23/2021 15:00:00 3112.5 3112.5 3012.5 3012.5 33037100
## 116 6/24/2021 15:00:00 3050.0 3050.0 2987.5 2987.5 26124000
## 117 6/25/2021 15:00:00 3000.0 3012.5 2950.0 2950.0 30526000
## 118 6/28/2021 16:00:00 2912.5 2950.0 2837.5 2850.0 63554500
## 119 6/29/2021 15:00:00 2925.0 2925.0 2850.0 2887.5 48485400
## 120 6/30/2021 15:00:00 2925.0 2975.0 2900.0 2950.0 73280100
## 121 07/01/2021 15:00 2975.0 3000.0 2950.0 2987.5 43692700
## 122 07/02/2021 15:00 2987.5 3012.5 2962.5 2975.0 40211200
## 123 07/05/2021 15:00 2987.5 2987.5 2900.0 2925.0 14621200
## 124 07/06/2021 15:00 2950.0 2950.0 2875.0 2887.5 28033100
## 125 07/07/2021 15:00 2887.5 2912.5 2837.5 2875.0 48345500
## 126 07/08/2021 15:00 2925.0 2950.0 2875.0 2950.0 40729500
## 127 07/09/2021 15:00 2950.0 2950.0 2887.5 2887.5 25411200
## 128 07/12/2021 15:00 2937.5 2937.5 2887.5 2900.0 19846300
## 129 7/13/2021 15:00:00 2925.0 2950.0 2887.5 2887.5 32558500
## 130 7/14/2021 15:00:00 2900.0 2912.5 2825.0 2850.0 29612600
## 131 7/15/2021 15:00:00 2862.5 2950.0 2837.5 2937.5 47219200
## 132 7/16/2021 15:00:00 2937.5 2950.0 2912.5 2937.5 19783800
## 133 7/19/2021 15:00:00 2900.0 2925.0 2875.0 2875.0 15730100
## 134 7/21/2021 15:00:00 2912.5 2975.0 2900.0 2962.5 43550100
## 135 7/22/2021 15:00:00 2987.5 3050.0 2975.0 3025.0 27585700
## 136 7/23/2021 15:00:00 3000.0 3025.0 2975.0 2987.5 18728800
## 137 7/26/2021 15:00:00 2987.5 3000.0 2900.0 2900.0 38580100
## 138 7/27/2021 15:00:00 2925.0 2950.0 2875.0 2912.5 39639700
## 139 7/28/2021 15:00:00 2875.0 2950.0 2875.0 2950.0 20633000
## 140 7/29/2021 15:00:00 2950.0 2950.0 2875.0 2875.0 34084200
## 141 7/30/2021 15:00:00 2912.5 2912.5 2850.0 2850.0 46066200
## 142 08/02/2021 15:00 2887.5 2887.5 2812.5 2837.5 34285500
## 143 08/03/2021 15:00 2850.0 2900.0 2825.0 2887.5 35478700
## 144 08/04/2021 15:00 2912.5 2950.0 2887.5 2912.5 33705200
## 145 08/05/2021 15:00 2937.5 3037.5 2925.0 3025.0 70127000
## 146 08/06/2021 15:00 3037.5 3050.0 2975.0 2987.5 31841000
## 147 08/09/2021 15:00 3000.0 3012.5 2900.0 2900.0 25158700
## 148 08/10/2021 15:00 2900.0 2937.5 2887.5 2900.0 27446700
## 149 08/12/2021 15:00 2937.5 2975.0 2912.5 2962.5 25664400
## 150 8/13/2021 15:00:00 2987.5 3025.0 2950.0 3000.0 20885800
## 151 8/16/2021 15:00:00 3000.0 3025.0 2925.0 2987.5 26537000
## 152 8/18/2021 15:00:00 3000.0 3087.5 2962.5 3025.0 70614700
## 153 8/19/2021 15:00:00 3050.0 3050.0 2900.0 2925.0 50988400
## 154 8/20/2021 15:00:00 2950.0 2975.0 2900.0 2950.0 31420800
## 155 8/23/2021 16:00:00 2950.0 3000.0 2950.0 2987.5 23173100
## 156 8/24/2021 16:00:00 2975.0 2987.5 2900.0 2912.5 42608800
## 157 8/25/2021 15:00:00 2937.5 2987.5 2925.0 2975.0 30363400
## 158 8/26/2021 15:00:00 2925.0 2962.5 2912.5 2912.5 27525100
## 159 8/27/2021 15:00:00 2912.5 2937.5 2887.5 2900.0 17882500
## 160 8/30/2021 15:00:00 2925.0 2975.0 2912.5 2975.0 32531000
## 161 8/31/2021 15:00:00 3000.0 3050.0 2975.0 3050.0 67850200
## 162 09/01/2021 15:00 3050.0 3050.0 3000.0 3000.0 35041000
## 163 09/02/2021 15:00 3025.0 3050.0 2987.5 3025.0 25777200
## 164 09/03/2021 15:00 3050.0 3075.0 3000.0 3062.5 25380000
## 165 09/06/2021 15:00 3100.0 3162.5 3062.5 3100.0 25842200
## 166 09/07/2021 15:00 3125.0 3175.0 3112.5 3125.0 35224200
## 167 09/08/2021 15:00 3150.0 3150.0 3062.5 3125.0 42330300
## 168 09/09/2021 15:00 3150.0 3175.0 3062.5 3175.0 46665800
## 169 09/10/2021 15:00 3137.5 3150.0 3087.5 3100.0 53788400
## 170 9/13/2021 15:00:00 3050.0 3112.5 3025.0 3075.0 52403300
## 171 9/14/2021 15:00:00 3075.0 3100.0 3037.5 3050.0 42465700
## 172 9/15/2021 15:00:00 3087.5 3100.0 3050.0 3062.5 67748900
## 173 9/16/2021 15:00:00 3087.5 3100.0 3062.5 3075.0 30672100
## 174 9/17/2021 15:00:00 3062.5 3075.0 3025.0 3025.0 41226400
## 175 9/20/2021 15:00:00 3012.5 3037.5 2962.5 3012.5 28784600
## 176 9/21/2021 15:00:00 3012.5 3012.5 2962.5 2987.5 22576700
## 177 9/22/2021 15:00:00 2987.5 3050.0 2975.0 3037.5 13355600
## 178 9/23/2021 15:00:00 3062.5 3062.5 3012.5 3037.5 20303000
## 179 9/24/2021 15:00:00 3037.5 3050.0 2962.5 2987.5 25139200
## 180 9/27/2021 15:00:00 3000.0 3012.5 2950.0 2950.0 34250400
## 181 9/28/2021 15:00:00 2975.0 3012.5 2950.0 2975.0 32326100
## 182 9/29/2021 15:00:00 2975.0 3025.0 2962.5 3000.0 28233700
## 183 9/30/2021 15:00:00 3025.0 3075.0 3000.0 3075.0 41406000
## 184 10/01/2021 15:00 3075.0 3100.0 3025.0 3050.0 37487700
## 185 10/04/2021 15:00 3087.5 3250.0 3075.0 3237.5 78345800
## 186 10/05/2021 15:00 3225.0 3275.0 3187.5 3212.5 47443100
## 187 10/06/2021 15:00 3237.5 3337.5 3225.0 3300.0 84387900
## 188 10/07/2021 15:00 3325.0 3412.5 3312.5 3350.0 126598300
## 189 10/08/2021 15:00 3362.5 3487.5 3362.5 3450.0 111796000
## 190 10/11/2021 15:00 3450.0 3462.5 3400.0 3450.0 61510100
## 191 10/12/2021 16:00 3487.5 3525.0 3462.5 3500.0 95522100
## 192 10/13/2021 15:00:00 3537.5 3550.0 3475.0 3550.0 67499000
## 193 10/14/2021 16:00:00 3562.5 3587.5 3525.0 3587.5 52153900
## 194 10/15/2021 16:00:00 3587.5 3600.0 3537.5 3575.0 42176500
## 195 10/18/2021 15:00:00 3600.0 3662.5 3575.0 3587.5 76475800
## 196 10/19/2021 15:00:00 3625.0 3625.0 3525.0 3600.0 49679000
## 197 10/21/2021 15:00:00 3587.5 3662.5 3562.5 3587.5 94632000
## 198 10/22/2021 15:00:00 3550.0 3612.5 3537.5 3600.0 32891300
## 199 10/25/2021 15:00:00 3587.5 3625.0 3562.5 3562.5 38148100
## 200 10/26/2021 15:00:00 3550.0 3600.0 3550.0 3587.5 27936400
## 201 10/27/2021 15:00:00 3600.0 3612.5 3562.5 3575.0 41462600
## 202 10/28/2021 15:00:00 3562.5 3575.0 3500.0 3512.5 49511800
## 203 10/29/2021 15:00:00 3587.5 3650.0 3575.0 3587.5 80476200
## 204 11/01/2021 15:00 3625.0 3625.0 3575.0 3587.5 32810700
## 205 11/02/2021 15:00 3587.5 3600.0 3500.0 3512.5 25961700
## 206 11/03/2021 15:00 3487.5 3625.0 3462.5 3562.5 53778300
## 207 11/04/2021 16:00 3625.0 3650.0 3587.5 3587.5 51863200
## 208 11/05/2021 15:00 3625.0 3625.0 3500.0 3550.0 24017800
## 209 11/08/2021 15:00 3600.0 3600.0 3500.0 3500.0 25258700
## 210 11/09/2021 15:00 3525.0 3550.0 3425.0 3437.5 60287100
## 211 11/10/2021 15:00 3437.5 3575.0 3437.5 3575.0 78059000
## 212 11/11/2021 15:00 3562.5 3612.5 3512.5 3612.5 43181200
## 213 11/12/2021 15:00 3637.5 3637.5 3525.0 3550.0 28403500
## 214 11/15/2021 15:00:00 3550.0 3575.0 3525.0 3525.0 20065500
## 215 11/16/2021 15:00:00 3525.0 3612.5 3512.5 3612.5 38070100
## 216 11/17/2021 15:00:00 3612.5 3625.0 3575.0 3612.5 36394800
## 217 11/18/2021 15:00:00 3600.0 3612.5 3575.0 3587.5 15455800
## 218 11/19/2021 15:00:00 3587.5 3650.0 3575.0 3625.0 50562900
## 219 11/22/2021 15:00:00 3675.0 3750.0 3612.5 3675.0 46187200
## 220 11/23/2021 15:00:00 3612.5 3637.5 3550.0 3575.0 31563800
## 221 11/24/2021 15:00:00 3562.5 3587.5 3550.0 3575.0 28108500
## 222 11/25/2021 15:00:00 3612.5 3687.5 3587.5 3675.0 48736700
## 223 11/26/2021 15:00:00 3662.5 3662.5 3537.5 3550.0 39316700
## 224 11/29/2021 15:00:00 3550.0 3637.5 3462.5 3587.5 56336500
## 225 11/30/2021 15:00:00 3625.0 3625.0 3475.0 3500.0 109670200
## 226 12/01/2021 16:00 3500.0 3562.5 3475.0 3537.5 46559900
## 227 12/02/2021 16:00 3537.5 3625.0 3500.0 3600.0 35208200
## 228 12/03/2021 16:00 3600.0 3612.5 3550.0 3575.0 23054700
## 229 12/06/2021 16:00 3575.0 3625.0 3550.0 3587.5 26025200
## 230 12/07/2021 16:00 3587.5 3650.0 3587.5 3650.0 32144700
## 231 12/08/2021 16:00 3637.5 3650.0 3575.0 3575.0 28032100
## 232 12/09/2021 16:00 3625.0 3675.0 3562.5 3675.0 21344300
## 233 12/10/2021 16:00 3600.0 3612.5 3550.0 3600.0 46766100
## 234 12/13/2021 16:00:00 3600.0 3612.5 3562.5 3562.5 25045600
## 235 12/14/2021 16:00:00 3562.5 3600.0 3550.0 3587.5 32530700
## 236 12/15/2021 16:00:00 3575.0 3662.5 3562.5 3637.5 37838700
## 237 12/16/2021 16:00:00 3650.0 3662.5 3600.0 3625.0 34541200
## 238 12/17/2021 16:00:00 3612.5 3612.5 3537.5 3575.0 41972600
## 239 12/20/2021 16:00:00 3550.0 3575.0 3537.5 3537.5 28966300
## 240 12/21/2021 16:00:00 3575.0 3625.0 3550.0 3575.0 24929800
## 241 12/22/2021 16:00:00 3587.5 3600.0 3525.0 3525.0 17407200
## 242 12/23/2021 16:00:00 3525.0 3575.0 3525.0 3537.5 22282500
## 243 12/24/2021 16:00:00 3550.0 3575.0 3475.0 3525.0 27451100
## 244 12/27/2021 16:00:00 3525.0 3550.0 3487.5 3500.0 17048200
## 245 12/28/2021 16:00:00 3525.0 3525.0 3487.5 3525.0 19917700
## 246 12/29/2021 16:00:00 3537.5 3562.5 3500.0 3550.0 10430100
## 247 12/30/2021 16:00:00 3550.0 3562.5 3512.5 3512.5 17475800
## 248 01/03/2022 16:00 3550.0 3562.5 3512.5 3525.0 15499800
## 249 01/04/2022 16:00 3537.5 3600.0 3525.0 3587.5 22270700
## 250 01/05/2022 16:00 3575.0 3587.5 3462.5 3512.5 49455100
## 251 01/06/2022 16:00 3537.5 3537.5 3475.0 3512.5 32825600
## 252 01/07/2022 16:00 3512.5 3550.0 3512.5 3525.0 34226400
## 253 01/10/2022 16:00 3537.5 3550.0 3525.0 3525.0 22189300
## 254 01/11/2022 16:00 3550.0 3550.0 3500.0 3525.0 25183800
## 255 01/12/2022 16:00 3525.0 3575.0 3525.0 3575.0 17124600
## 256 1/13/2022 16:00:00 3575.0 3587.5 3550.0 3562.5 17881900
## 257 1/14/2022 16:00:00 3537.5 3612.5 3537.5 3587.5 21825700
## 258 1/17/2022 16:00:00 3625.0 3637.5 3575.0 3600.0 21594000
## 259 1/18/2022 16:00:00 3587.5 3625.0 3550.0 3625.0 32242400
## 260 1/19/2022 16:00:00 3587.5 3600.0 3500.0 3512.5 51546800
## 261 1/20/2022 16:00:00 3550.0 3587.5 3512.5 3587.5 26533500
## 262 1/21/2022 16:00:00 3587.5 3650.0 3562.5 3650.0 38403400
## 263 1/24/2022 16:00:00 3637.5 3637.5 3600.0 3637.5 22238400
## 264 1/25/2022 16:00:00 3600.0 3625.0 3575.0 3612.5 34634000
## 265 1/26/2022 16:00:00 3650.0 3737.5 3612.5 3737.5 70318200
## 266 1/27/2022 16:00:00 3737.5 3800.0 3700.0 3775.0 56809000
## 267 1/28/2022 16:00:00 3812.5 3825.0 3775.0 3825.0 60572600
## 268 1/31/2022 16:00:00 3887.5 3887.5 3725.0 3737.5 50850400
## 269 02/02/2022 16:00 3762.5 3762.5 3725.0 3737.5 34384500
## 270 02/03/2022 16:00 3737.5 3737.5 3675.0 3737.5 30102000
## 271 02/04/2022 16:00 3725.0 3762.5 3700.0 3737.5 18314700
## 272 02/07/2022 16:00 3825.0 3825.0 3737.5 3750.0 34433900
## 273 02/08/2022 16:00 3800.0 3862.5 3775.0 3812.5 79290900
## 274 02/09/2022 16:00 3850.0 3862.5 3800.0 3837.5 53680400
## 275 02/10/2022 16:00 3850.0 3875.0 3825.0 3862.5 53839700
## 276 02/11/2022 16:00 3887.5 3887.5 3825.0 3862.5 40791300
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## 278 2/15/2022 16:00:00 3900.0 3950.0 3837.5 3950.0 33902200
## 279 2/16/2022 16:00:00 3962.5 3962.5 3875.0 3925.0 37392500
## 280 2/17/2022 16:00:00 3937.5 3937.5 3837.5 3925.0 51519400
## 281 2/18/2022 16:00:00 3912.5 3975.0 3875.0 3925.0 40651600
## 282 2/21/2022 16:00:00 3925.0 3962.5 3925.0 3925.0 15860400
## 283 2/22/2022 16:00:00 3912.5 3950.0 3887.5 3937.5 34738300
## 284 2/23/2022 16:00:00 3962.5 3975.0 3912.5 3937.5 42995500
## 285 2/24/2022 16:00:00 3862.5 3937.5 3825.0 3850.0 85148500
## 286 2/25/2022 16:00:00 3862.5 3875.0 3825.0 3850.0 81649900
## 287 03/01/2022 16:00 3837.5 3925.0 3825.0 3825.0 74766100
## 288 03/02/2022 16:00 3825.0 3862.5 3775.0 3812.5 55412000
## 289 03/04/2022 16:00 3850.0 3862.5 3800.0 3825.0 52457300
## 290 03/07/2022 16:00 3775.0 3812.5 3750.0 3775.0 68833800
## 291 03/08/2022 16:00 3812.5 3850.0 3775.0 3775.0 52036100
## 292 03/09/2022 16:00 3787.5 3862.5 3787.5 3812.5 57554600
## 293 03/10/2022 16:00 3850.0 3875.0 3800.0 3837.5 52901500
## 294 03/11/2022 16:00 3862.5 3862.5 3800.0 3825.0 61200800
## 295 3/14/2022 16:00:00 3825.0 3912.5 3812.5 3875.0 86756700
## 296 3/15/2022 16:00:00 3900.0 3937.5 3887.5 3887.5 73367700
## 297 3/16/2022 16:00:00 3900.0 4025.0 3900.0 3975.0 145954900
## 298 3/17/2022 16:00:00 4000.0 4050.0 3975.0 3975.0 117779500
## 299 3/18/2022 16:00:00 3987.5 4000.0 3937.5 3962.5 106116700
## 300 3/21/2022 16:00:00 3837.5 3862.5 3800.0 3825.0 81182200
## 301 3/22/2022 16:00:00 3850.0 3875.0 3825.0 3837.5 56336200
## 302 3/23/2022 16:00:00 3837.5 3900.0 3825.0 3887.5 91947400
## 303 3/24/2022 16:00:00 3850.0 3962.5 3850.0 3962.5 105454900
## 304 3/25/2022 16:00:00 3975.0 3987.5 3887.5 3925.0 68041500
## 305 3/28/2022 16:00:00 3937.5 3950.0 3900.0 3937.5 47677200
## 306 3/29/2022 16:00:00 3987.5 4012.5 3937.5 3962.5 80056100
## 307 3/30/2022 16:00:00 3975.0 3987.5 3925.0 3937.5 41238000
## 308 3/31/2022 16:00:00 3962.5 3987.5 3925.0 3950.0 34587000
## 309 04/01/2022 16:00 3950.0 3950.0 3887.5 3937.5 31456200
## 310 04/04/2022 16:00 3912.5 3950.0 3887.5 3912.5 41006900
## 311 04/05/2022 16:00 3900.0 3937.5 3900.0 3912.5 41189100
## 312 04/06/2022 16:00 3900.0 3900.0 3825.0 3837.5 64738200
## 313 04/07/2022 16:00 3837.5 3887.5 3812.5 3850.0 68081400
## 314 04/08/2022 16:00 3900.0 3900.0 3837.5 3850.0 47311200
## 315 04/11/2022 16:00 3850.0 3875.0 3825.0 3837.5 53983200
## 316 04/12/2022 16:00 3837.5 3875.0 3812.5 3850.0 46345600
## 317 4/13/2022 16:00:00 3837.5 3875.0 3825.0 3862.5 45279300
## 318 4/14/2022 16:00:00 3862.5 3875.0 3825.0 3837.5 31637800
## 319 4/18/2022 16:00:00 3837.5 3862.5 3787.5 3812.5 50748000
## 320 4/19/2022 16:00:00 3812.5 3837.5 3787.5 3787.5 52254200
## 321 4/20/2022 16:00:00 3825.0 3950.0 3812.5 3925.0 82177400
## 322 4/21/2022 16:00:00 4000.0 4200.0 3962.5 4150.0 168681600
## 323 4/22/2022 16:00:00 4100.0 4162.5 4037.5 4137.5 84150900
## 324 4/25/2022 16:00:00 4100.0 4225.0 4012.5 4112.5 89541300
## 325 4/26/2022 16:00:00 4125.0 4212.5 4112.5 4175.0 65965300
## 326 4/27/2022 16:00:00 4137.5 4212.5 4112.5 4112.5 59136400
## 327 4/28/2022 16:00:00 4387.5 4537.5 4337.5 4475.0 221581900
## 328 05/09/2022 16:00 4312.5 4337.5 4162.5 4162.5 175818900
## 329 05/10/2022 16:00 3912.5 4087.5 3912.5 4050.0 249222400
## 330 05/11/2022 16:00 4050.0 4100.0 4000.0 4000.0 99461300
## 331 05/12/2022 16:00 3987.5 4025.0 3862.5 3937.5 81363600
## 332 5/13/2022 16:00:00 3937.5 3950.0 3875.0 3900.0 82753900
## 333 5/17/2022 16:00:00 3900.0 4000.0 3900.0 3925.0 74774400
## 334 5/18/2022 16:00:00 3987.5 4012.5 3900.0 3950.0 81259600
## 335 5/19/2022 16:00:00 3900.0 3962.5 3875.0 3950.0 63870200
## 336 5/20/2022 16:00:00 3975.0 4025.0 3975.0 4000.0 53433200
## 337 5/23/2022 16:00:00 4025.0 4037.5 3900.0 3937.5 72002600
## 338 5/24/2022 16:00:00 3975.0 4025.0 3950.0 3962.5 67277500
## 339 5/25/2022 16:00:00 3950.0 4025.0 3912.5 3925.0 66317700
## 340 5/27/2022 16:00:00 4000.0 4062.5 3975.0 4050.0 77539300
## 341 5/30/2022 16:00:00 4100.0 4100.0 4000.0 4100.0 58808600
## 342 5/31/2022 16:00:00 4137.5 4250.0 4112.5 4250.0 131027000
## 343 06/02/2022 16:00 4162.5 4175.0 4025.0 4100.0 101510900
## 344 06/03/2022 16:00 4137.5 4150.0 4100.0 4100.0 73980100
## 345 06/06/2022 16:00 4100.0 4175.0 4012.5 4075.0 74392500
## 346 06/07/2022 16:00 4100.0 4175.0 4075.0 4150.0 66336900
## 347 06/08/2022 16:00 4112.5 4212.5 4075.0 4200.0 76704600
## 348 06/09/2022 16:00 4200.0 4250.0 4175.0 4212.5 108402200
## 349 06/10/2022 16:00 4137.5 4162.5 4075.0 4087.5 82559800
## 350 6/13/2022 16:00:00 4000.0 4050.0 3975.0 4050.0 61233600
## 351 6/14/2022 16:00:00 4000.0 4100.0 4000.0 4100.0 50068300
## 352 6/15/2022 16:00:00 4062.5 4162.5 4062.5 4150.0 71200400
## 353 6/16/2022 16:00:00 4250.0 4250.0 4150.0 4187.5 93346300
## 354 6/17/2022 16:00:00 4087.5 4125.0 4037.5 4037.5 78418100
## 355 6/20/2022 16:00:00 4050.0 4125.0 4025.0 4125.0 37489100
## 356 6/21/2022 16:00:00 4150.0 4175.0 4100.0 4125.0 31498300
## 357 6/22/2022 16:00:00 4100.0 4137.5 4062.5 4075.0 44153800
## 358 6/23/2022 16:00:00 4075.0 4112.5 4050.0 4075.0 24408700
## 359 6/24/2022 16:00:00 4100.0 4150.0 4075.0 4150.0 30319200
## 360 6/27/2022 16:00:00 4200.0 4200.0 4037.5 4112.5 38287200
## 361 6/28/2022 16:00:00 4075.0 4100.0 4000.0 4062.5 55065600
## 362 6/29/2022 16:00:00 4050.0 4062.5 3975.0 3975.0 56608200
## 363 6/30/2022 16:00:00 4000.0 4050.0 3950.0 3962.5 62753800
## 364 07/01/2022 16:00 3937.5 3962.5 3787.5 3800.0 95836100
## 365 07/04/2022 16:00 3787.5 3837.5 3637.5 3700.0 123208500
## 366 07/05/2022 16:00 3725.0 3862.5 3725.0 3825.0 45459900
## 367 07/06/2022 16:00 3825.0 3825.0 3675.0 3762.5 90406400
## 368 07/07/2022 16:00 3750.0 3775.0 3712.5 3712.5 60222400
## 369 07/08/2022 16:00 3775.0 3775.0 3700.0 3737.5 28578300
## 370 07/11/2022 16:00 3737.5 3762.5 3700.0 3737.5 11430400
## 371 07/12/2022 16:00 3737.5 3737.5 3687.5 3712.5 25762200
## 372 7/13/2022 16:00:00 3700.0 3712.5 3637.5 3637.5 71247100
## 373 7/14/2022 16:00:00 3625.0 3687.5 3600.0 3637.5 79219100
## 374 7/15/2022 16:00:00 3650.0 3700.0 3587.5 3587.5 95974700
## 375 7/18/2022 16:00:00 3612.5 3675.0 3612.5 3675.0 76039200
## 376 7/19/2022 16:00:00 3675.0 3725.0 3637.5 3712.5 64481800
## 377 7/20/2022 16:00:00 3775.0 3975.0 3775.0 3950.0 107856300
## 378 7/21/2022 16:00:00 4000.0 4000.0 3862.5 3950.0 62849600
## 379 7/22/2022 16:00:00 3962.5 3962.5 3887.5 3925.0 27230600
## 380 7/25/2022 16:00:00 3937.5 3950.0 3887.5 3887.5 15375300
## 381 7/26/2022 16:00:00 3912.5 4012.5 3900.0 4000.0 29158800
## 382 7/27/2022 16:00:00 4025.0 4062.5 4000.0 4050.0 43719600
## 383 7/28/2022 16:00:00 4012.5 4100.0 4012.5 4025.0 47213700
## 384 7/29/2022 16:00:00 4112.5 4175.0 4075.0 4137.5 66351600
## 385 08/01/2022 16:00 4100.0 4112.5 3987.5 3987.5 47954500
## 386 08/02/2022 16:00 4000.0 4087.5 3987.5 4087.5 28729100
## 387 08/03/2022 16:00 4087.5 4125.0 4025.0 4125.0 27911400
## 388 08/04/2022 16:00 4150.0 4150.0 4075.0 4125.0 37594300
## 389 08/05/2022 16:00 4137.5 4150.0 4087.5 4125.0 32075400
## 390 08/08/2022 16:00 4125.0 4175.0 4112.5 4175.0 41261000
## 391 08/09/2022 16:00 4212.5 4300.0 4200.0 4237.5 58574100
## 392 08/10/2022 16:00 4175.0 4300.0 4125.0 4300.0 39975100
## 393 08/11/2022 16:00 4312.5 4337.5 4212.5 4262.5 53313700
## 394 08/12/2022 16:00 4262.5 4287.5 4212.5 4237.5 31313100
## 395 8/15/2022 16:00:00 4225.0 4275.0 4200.0 4225.0 22232400
## 396 8/16/2022 16:00:00 4275.0 4325.0 4237.5 4262.5 54630200
## 397 8/18/2022 16:00:00 4387.5 4400.0 4287.5 4300.0 58346600
## 398 8/19/2022 16:00:00 4300.0 4325.0 4250.0 4250.0 24145100
## 399 8/22/2022 16:00:00 4212.5 4275.0 4175.0 4262.5 60699900
## 400 8/23/2022 16:00:00 4250.0 4337.5 4225.0 4312.5 47776700
## 401 8/24/2022 16:00:00 4300.0 4350.0 4275.0 4312.5 30479100
## 402 8/25/2022 16:00:00 4275.0 4312.5 4212.5 4287.5 38627400
## 403 8/26/2022 16:00:00 4312.5 4325.0 4250.0 4250.0 41178300
## 404 8/29/2022 16:00:00 4200.0 4300.0 4175.0 4275.0 31341900
## 405 8/30/2022 16:00:00 4312.5 4375.0 4287.5 4325.0 54824700
## 406 8/31/2022 16:00:00 4250.0 4425.0 4225.0 4425.0 75815800
## 407 09/01/2022 15:00 4425.0 4475.0 4337.5 4462.5 60483900
## 408 09/02/2022 15:00 4487.5 4500.0 4362.5 4425.0 45022300
## 409 09/05/2022 16:00 4425.0 4500.0 4400.0 4475.0 30245500
## 410 09/06/2022 16:00 4487.5 4500.0 4400.0 4412.5 32648100
## 411 09/07/2022 16:00 4387.5 4437.5 4362.5 4437.5 48885700
## 412 09/08/2022 16:00 4450.0 4550.0 4412.5 4475.0 48465500
## 413 09/09/2022 16:00 4537.5 4550.0 4475.0 4537.5 64255400
## 414 09/12/2022 16:00 4575.0 4600.0 4537.5 4587.5 55409500
## 415 9/13/2022 16:00:00 4625.0 4750.0 4612.5 4725.0 92743900
## 416 9/14/2022 16:00:00 4637.5 4700.0 4600.0 4650.0 59815600
## 417 9/15/2022 16:00:00 4700.0 4750.0 4650.0 4675.0 78375300
## 418 9/16/2022 16:00:00 4637.5 4650.0 4512.5 4550.0 83906300
## 419 9/19/2022 16:00:00 4625.0 4650.0 4575.0 4612.5 68698300
## 420 9/20/2022 16:00:00 4662.5 4687.5 4600.0 4600.0 70376100
## 421 9/21/2022 16:00:00 4575.0 4637.5 4550.0 4637.5 35522200
## 422 9/22/2022 16:00:00 4637.5 4650.0 4587.5 4600.0 48239600
## 423 9/23/2022 16:00:00 4600.0 4625.0 4575.0 4600.0 30938500
## 424 9/26/2022 16:00:00 4562.5 4687.5 4475.0 4625.0 66884800
## 425 9/27/2022 16:00:00 4625.0 4675.0 4600.0 4675.0 65479700
## 426 9/28/2022 16:00:00 4725.0 4800.0 4637.5 4650.0 66542500
## 427 9/29/2022 16:00:00 4675.0 4687.5 4600.0 4625.0 33972600
## 428 9/30/2022 16:00:00 4650.0 4712.5 4612.5 4712.5 56750500
## 429 10/03/2022 16:00 4662.5 4687.5 4612.5 4637.5 27331200
## 430 10/04/2022 16:00 4650.0 4687.5 4612.5 4612.5 45123500
## 431 10/05/2022 16:00 4650.0 4737.5 4637.5 4637.5 37945800
## 432 10/06/2022 16:00 4650.0 4662.5 4612.5 4662.5 21639600
## 433 10/07/2022 16:00 4662.5 4712.5 4637.5 4712.5 25633500
## 434 10/10/2022 16:00 4687.5 4700.0 4637.5 4650.0 27732500
## 435 10/11/2022 16:00 4712.5 4712.5 4625.0 4650.0 35962800
## 436 10/12/2022 16:00 4687.5 4750.0 4650.0 4712.5 59365700
## 437 10/13/2022 16:00:00 4750.0 4775.0 4662.5 4737.5 29416000
## 438 10/14/2022 16:00:00 4825.0 4825.0 4687.5 4700.0 53200800
## 439 10/17/2022 16:00:00 4725.0 4737.5 4650.0 4725.0 30452600
## 440 10/18/2022 16:00:00 4750.0 4787.5 4725.0 4750.0 33952200
## 441 10/19/2022 16:00:00 4687.5 4787.5 4662.5 4737.5 35772400
## 442 10/20/2022 16:00:00 4675.0 4962.5 4675.0 4950.0 51211200
## 443 10/21/2022 16:00:00 5000.0 5225.0 4962.5 5175.0 91993900
## 444 10/24/2022 16:00:00 5162.5 5250.0 5125.0 5125.0 51084000
## 445 10/25/2022 16:00:00 5137.5 5225.0 5112.5 5112.5 41652600
## 446 10/26/2022 16:00:00 5112.5 5125.0 5000.0 5100.0 40265700
## 447 10/27/2022 16:00:00 5100.0 5162.5 5025.0 5100.0 42265600
## 448 10/28/2022 16:00:00 5062.5 5112.5 5050.0 5100.0 51218700
## 449 10/31/2022 16:00:00 5150.0 5275.0 5112.5 5275.0 86937300
## 450 11/01/2022 15:00 5300.0 5300.0 5112.5 5200.0 55949000
## 451 11/02/2022 15:00 5187.5 5200.0 4987.5 5037.5 63757700
## 452 11/03/2022 16:00 4975.0 5100.0 4975.0 5087.5 59799300
## 453 11/04/2022 16:00 5012.5 5075.0 5000.0 5075.0 35390600
## 454 11/07/2022 16:00 5087.5 5125.0 5000.0 5125.0 49017200
## 455 11/08/2022 16:00 5137.5 5137.5 5037.5 5075.0 19792900
## 456 11/09/2022 16:00 5025.0 5075.0 5025.0 5075.0 34005200
## 457 11/10/2022 16:00 5025.0 5075.0 5000.0 5050.0 30982000
## 458 11/11/2022 16:00 5150.0 5225.0 5112.5 5212.5 51004100
## 459 11/14/2022 16:00:00 5275.0 5275.0 5075.0 5125.0 30527600
## 460 11/15/2022 16:00:00 5150.0 5150.0 5050.0 5125.0 41500400
## 461 11/16/2022 16:00:00 5050.0 5087.5 4950.0 5000.0 64128900
## 462 11/17/2022 16:00:00 4925.0 5012.5 4925.0 4950.0 83781300
## 463 11/18/2022 16:00:00 4975.0 5112.5 4962.5 5087.5 55823100
## 464 11/21/2022 16:00:00 5087.5 5100.0 5012.5 5050.0 26155800
## 465 11/22/2022 16:00:00 5025.0 5125.0 5025.0 5062.5 39925300
## 466 11/23/2022 16:00:00 5062.5 5150.0 5062.5 5100.0 39125300
## 467 11/24/2022 16:00:00 5112.5 5150.0 5100.0 5112.5 29850700
## 468 11/25/2022 16:00:00 5112.5 5112.5 5050.0 5087.5 38992400
## 469 11/28/2022 16:00:00 5087.5 5137.5 5062.5 5062.5 32389500
## 470 11/29/2022 16:00:00 5125.0 5225.0 5100.0 5162.5 36130500
## 471 11/30/2022 16:00:00 5162.5 5400.0 5162.5 5262.5 173568400
## 472 12/01/2022 16:00 5262.5 5325.0 5200.0 5200.0 70746500
## 473 12/02/2022 16:00 5200.0 5262.5 5162.5 5262.5 35405700
## 474 12/05/2022 16:00 5325.0 5500.0 5287.5 5437.5 73236400
## 475 12/06/2022 16:00 5437.5 5500.0 5362.5 5450.0 69680100
## 476 12/07/2022 16:00 5312.5 5350.0 5187.5 5187.5 100443100
## 477 12/08/2022 16:00 5037.5 5112.5 4987.5 5025.0 139954200
## 478 12/09/2022 16:00 4975.0 5025.0 4912.5 4962.5 120803900
## 479 12/12/2022 16:00 4912.5 5000.0 4887.5 4975.0 91858800
## 480 12/13/2022 16:00:00 4887.5 5000.0 4887.5 4950.0 112088000
## 481 12/14/2022 16:00:00 5037.5 5050.0 4975.0 4975.0 81344600
## 482 12/15/2022 16:00:00 4950.0 5012.5 4950.0 4950.0 41336700
## 483 12/16/2022 16:00:00 4912.5 5050.0 4912.5 5050.0 385126200
## 484 12/19/2022 16:00:00 5000.0 5037.5 4950.0 5000.0 50435700
## 485 12/20/2022 16:00:00 5000.0 5025.0 4975.0 5025.0 28316900
## 486 12/21/2022 16:00:00 5062.5 5062.5 5000.0 5000.0 18972600
## 487 12/22/2022 16:00:00 5050.0 5050.0 4975.0 4975.0 39418100
## 488 12/23/2022 16:00:00 4950.0 5000.0 4950.0 4962.5 19285600
## 489 12/26/2022 16:00:00 4987.5 5025.0 4975.0 5025.0 9789400
## 490 12/27/2022 16:00:00 5025.0 5025.0 4937.5 4975.0 21641000
## 491 12/28/2022 16:00:00 5000.0 5000.0 4925.0 4987.5 15129200
## 492 12/29/2022 16:00:00 4950.0 4987.5 4937.5 4987.5 28490700
## 493 12/30/2022 16:00:00 5000.0 5025.0 4962.5 4962.5 20327900
## 494 01/02/2023 16:00 4962.5 4987.5 4937.5 4937.5 2992700
## 495 01/03/2023 16:00 4925.0 4987.5 4925.0 4975.0 6907600
## 496 01/04/2023 16:00 5012.5 5037.5 4987.5 5012.5 19287900
## 497 01/05/2023 16:00 5025.0 5025.0 4862.5 4912.5 42472900
## 498 01/06/2023 16:00 4862.5 4900.0 4800.0 4900.0 22048500
## 499 01/09/2023 16:00 4875.0 4925.0 4800.0 4862.5 33625300
## 500 01/10/2023 16:00 4750.0 4775.0 4587.5 4637.5 107269400
## 501 01/11/2023 16:00 4537.5 4587.5 4450.0 4475.0 96957500
## 502 01/12/2023 16:00 4500.0 4725.0 4500.0 4600.0 109829700
## 503 1/13/2023 16:00:00 4562.5 4612.5 4525.0 4587.5 53741900
## 504 1/16/2023 16:00:00 4550.0 4675.0 4550.0 4650.0 72855000
## 505 1/17/2023 16:00:00 4700.0 4912.5 4687.5 4875.0 73119000
## 506 1/18/2023 16:00:00 4825.0 4887.5 4750.0 4775.0 47680300
## 507 1/19/2023 16:00:00 4800.0 4912.5 4762.5 4875.0 40852100
## 508 1/20/2023 16:00:00 4925.0 5000.0 4900.0 4987.5 46613700
## 509 1/24/2023 16:00:00 4925.0 4987.5 4900.0 4950.0 17514000
## 510 1/25/2023 16:00:00 4900.0 4925.0 4850.0 4850.0 36383900
## 511 1/26/2023 16:00:00 4887.5 4937.5 4875.0 4912.5 35279300
## 512 1/27/2023 16:00:00 4950.0 5075.0 4950.0 5012.5 108394200
## 513 1/30/2023 16:00:00 5012.5 5062.5 4937.5 4975.0 41294700
## 514 1/31/2023 16:00:00 5012.5 5050.0 4937.5 4975.0 83648500
## 515 02/01/2023 16:00 4975.0 5025.0 4837.5 4850.0 82814400
## 516 02/02/2023 16:00 4862.5 4875.0 4787.5 4862.5 49675900
## 517 02/03/2023 16:00 4875.0 4975.0 4875.0 4962.5 54062700
## 518 02/06/2023 16:00 4962.5 5025.0 4875.0 4937.5 54549200
## 519 02/07/2023 16:00 4975.0 5112.5 4950.0 5087.5 59066000
## 520 02/08/2023 16:00 5062.5 5112.5 5050.0 5100.0 37828000
## 521 02/09/2023 16:00 5150.0 5200.0 5125.0 5125.0 60878700
## 522 02/10/2023 16:00 5225.0 5225.0 5075.0 5150.0 40557300
## 523 2/13/2023 16:00:00 5275.0 5275.0 5125.0 5175.0 28385900
## 524 2/14/2023 16:00:00 5225.0 5225.0 5137.5 5187.5 19785300
## 525 2/15/2023 16:00:00 5150.0 5175.0 5050.0 5112.5 37799700
## 526 2/16/2023 16:00:00 5112.5 5137.5 5062.5 5087.5 24784500
## 527 2/17/2023 16:00:00 5087.5 5150.0 5050.0 5150.0 29260500
## 528 2/20/2023 16:00:00 5150.0 5150.0 5100.0 5137.5 20348200
## 529 2/21/2023 16:00:00 5150.0 5150.0 5087.5 5100.0 26302200
## 530 2/22/2023 16:00:00 5062.5 5087.5 4975.0 5000.0 37756700
## 531 2/23/2023 16:00:00 4987.5 5050.0 4962.5 5037.5 88752600
## 532 2/24/2023 16:00:00 5062.5 5112.5 5037.5 5062.5 27069100
## 533 2/27/2023 16:00:00 5037.5 5075.0 5025.0 5075.0 23950900
## 534 2/28/2023 16:00:00 5037.5 5075.0 5000.0 5000.0 73220200
## 535 03/01/2023 16:00 5075.0 5100.0 5025.0 5050.0 44782800
## 536 03/02/2023 16:00 5075.0 5150.0 5075.0 5112.5 36495900
## 537 03/03/2023 16:00 5100.0 5125.0 5012.5 5025.0 44315300
## 538 03/06/2023 16:00 5087.5 5112.5 5037.5 5062.5 26864400
## 539 03/07/2023 16:00 5075.0 5137.5 5062.5 5087.5 40032900
## 540 03/08/2023 16:00 5125.0 5137.5 5087.5 5137.5 52419100
## 541 03/09/2023 16:00 5200.0 5250.0 5175.0 5225.0 41641500
## 542 03/10/2023 16:00 5212.5 5212.5 5137.5 5187.5 53765500
## 543 3/13/2023 16:00:00 5137.5 5187.5 5112.5 5175.0 46413800
## 544 3/14/2023 16:00:00 5100.0 5137.5 4925.0 4962.5 95949200
## 545 3/15/2023 16:00:00 5025.0 5087.5 4925.0 5025.0 131414300
## 546 3/16/2023 16:00:00 5037.5 5037.5 4912.5 4925.0 67733700
## 547 3/17/2023 16:00:00 4975.0 5062.5 4962.5 5050.0 112085800
## 548 3/20/2023 16:00:00 5025.0 5050.0 5000.0 5000.0 23166500
## 549 3/21/2023 16:00:00 5050.0 5250.0 5037.5 5250.0 65665500
## 550 3/24/2023 16:00:00 5312.5 5475.0 5287.5 5450.0 111078100
## 551 3/27/2023 16:00:00 5200.0 5212.5 5100.0 5100.0 75912800
## 552 3/28/2023 16:00:00 5100.0 5137.5 5050.0 5062.5 51975500
## 553 3/29/2023 16:00:00 5125.0 5187.5 5100.0 5175.0 53727300
## 554 3/30/2023 16:00:00 5175.0 5200.0 5112.5 5112.5 48593100
## 555 3/31/2023 16:00:00 5137.5 5162.5 5100.0 5162.5 46006600
## 556 04/03/2023 16:00 5200.0 5262.5 5200.0 5262.5 50862200
## 557 04/04/2023 16:00 5250.0 5300.0 5100.0 5200.0 94482600
## 558 04/05/2023 16:00 5150.0 5250.0 5150.0 5225.0 42655500
## 559 04/06/2023 16:00 5225.0 5225.0 5150.0 5175.0 47999400
## 560 04/10/2023 16:00 5150.0 5175.0 5050.0 5100.0 74787800
## 561 04/11/2023 16:00 5100.0 5100.0 5050.0 5100.0 37744800
## 562 04/12/2023 16:00 5100.0 5225.0 5100.0 5150.0 111901500
## 563 4/13/2023 16:00:00 5175.0 5200.0 5125.0 5125.0 67928500
## 564 4/14/2023 16:00:00 5150.0 5250.0 5150.0 5225.0 142479800
## 565 4/17/2023 16:00:00 5225.0 5250.0 5125.0 5125.0 95789900
## 566 4/18/2023 16:00:00 5150.0 5250.0 5125.0 5175.0 106962300
## 567 4/26/2023 16:00:00 5400.0 5425.0 5175.0 5200.0 207338000
## 568 4/27/2023 16:00:00 5175.0 5225.0 5175.0 5200.0 51076300
## 569 4/28/2023 16:00:00 5225.0 5225.0 5150.0 5175.0 116957800
## 570 05/02/2023 16:00 5250.0 5250.0 5175.0 5250.0 98024100
## 571 05/03/2023 16:00 5250.0 5250.0 5150.0 5225.0 110683000
## 572 05/04/2023 16:00 5175.0 5225.0 5125.0 5175.0 100945900
## 573 05/05/2023 16:00 5175.0 5200.0 5125.0 5175.0 64499500
## 574 05/08/2023 16:00 5175.0 5200.0 5125.0 5125.0 64678000
## 575 05/09/2023 16:00 5100.0 5125.0 5050.0 5050.0 93531000
## 576 05/10/2023 16:00 5050.0 5125.0 5050.0 5075.0 58148200
## 577 05/11/2023 16:00 5075.0 5100.0 5025.0 5100.0 63262300
## 578 05/12/2023 16:00 5075.0 5075.0 5000.0 5000.0 105407300
## 579 5/15/2023 16:00:00 5050.0 5050.0 5000.0 5050.0 76451700
## 580 5/16/2023 16:00:00 5075.0 5075.0 4980.0 4990.0 42752200
## 581 5/17/2023 16:00:00 4990.0 5075.0 4980.0 5000.0 63396700
## 582 5/19/2023 16:00:00 5075.0 5100.0 5025.0 5075.0 78499800
## 583 5/22/2023 16:00:00 5100.0 5250.0 5075.0 5225.0 120027200
## 584 5/23/2023 16:00:00 5200.0 5250.0 5100.0 5125.0 165534100
## 585 5/24/2023 16:00:00 5125.0 5150.0 5050.0 5075.0 125549800
## 586 5/25/2023 16:00:00 5050.0 5175.0 5050.0 5175.0 76424100
## 587 5/26/2023 16:00:00 5175.0 5200.0 5100.0 5125.0 42313700
## 588 5/29/2023 16:00:00 5175.0 5175.0 5100.0 5150.0 60646900
## 589 5/30/2023 16:00:00 5100.0 5200.0 5100.0 5150.0 49086100
## 590 5/31/2023 16:00:00 5175.0 5200.0 5050.0 5050.0 393735900
## 591 06/05/2023 16:00 5100.0 5150.0 5075.0 5075.0 149191300
## 592 06/06/2023 16:00 5050.0 5100.0 4950.0 5050.0 244590500
## 593 06/07/2023 16:00 5000.0 5075.0 5000.0 5025.0 130408700
## 594 06/08/2023 16:00 5000.0 5075.0 5000.0 5025.0 173484200
## 595 06/09/2023 16:00 5025.0 5125.0 5000.0 5125.0 150849200
## 596 06/12/2023 16:00 5100.0 5125.0 5050.0 5100.0 91080300
## 597 6/13/2023 16:00:00 5100.0 5175.0 5050.0 5100.0 143804700
## 598 6/14/2023 16:00:00 5125.0 5150.0 5050.0 5050.0 96670300
## 599 6/15/2023 16:00:00 5050.0 5150.0 5050.0 5125.0 94097900
## 600 6/16/2023 16:00:00 5125.0 5150.0 5075.0 5150.0 103942500
## 601 6/19/2023 16:00:00 5100.0 5150.0 5100.0 5125.0 36211300
## 602 6/20/2023 16:00:00 5100.0 5125.0 5050.0 5100.0 44316800
## 603 6/21/2023 16:00:00 5050.0 5100.0 5050.0 5100.0 58061600
## 604 6/22/2023 16:00:00 5100.0 5150.0 5075.0 5075.0 60457300
## 605 6/23/2023 16:00:00 5075.0 5125.0 5050.0 5075.0 47276900
## 606 6/26/2023 16:00:00 5100.0 5175.0 5075.0 5125.0 74263700
## 607 6/27/2023 16:00:00 5175.0 5250.0 5150.0 5200.0 101592900
## 608 07/03/2023 16:00 5125.0 5350.0 5125.0 5350.0 227354700
## 609 07/04/2023 16:00 5400.0 5400.0 5225.0 5250.0 119841200
## 610 07/05/2023 16:00 5300.0 5325.0 5250.0 5275.0 78430000
## 611 07/06/2023 16:00 5300.0 5350.0 5250.0 5300.0 90981000
## 612 07/07/2023 16:00 5275.0 5300.0 5150.0 5150.0 128515100
## 613 07/10/2023 16:00 5175.0 5225.0 5150.0 5175.0 82685700
## 614 07/11/2023 16:00 5200.0 5300.0 5175.0 5275.0 100578900
## 615 07/12/2023 16:00 5300.0 5375.0 5250.0 5300.0 123947700
## 616 7/13/2023 16:00:00 5375.0 5375.0 5275.0 5350.0 101281200
## 617 7/14/2023 16:00:00 5400.0 5425.0 5350.0 5400.0 122343600
## 618 7/17/2023 16:00:00 5425.0 5475.0 5375.0 5375.0 99897600
## 619 7/18/2023 16:00:00 5375.0 5425.0 5300.0 5350.0 65073800
## 620 7/20/2023 16:00:00 5400.0 5550.0 5400.0 5525.0 132054000
## 621 7/21/2023 16:00:00 5550.0 5575.0 5450.0 5550.0 111275700
## 622 7/24/2023 16:00:00 5550.0 5625.0 5500.0 5500.0 54865000
## 623 7/25/2023 16:00:00 5550.0 5575.0 5500.0 5550.0 65237300
## 624 7/26/2023 16:00:00 5550.0 5600.0 5525.0 5575.0 88526700
## 625 7/27/2023 16:00:00 5575.0 5700.0 5575.0 5625.0 86556200
## 626 7/28/2023 16:00:00 5625.0 5725.0 5625.0 5700.0 121968500
## 627 7/31/2023 16:00:00 5800.0 5800.0 5625.0 5725.0 189375700
## 628 08/01/2023 16:00 5650.0 5725.0 5600.0 5650.0 114702500
## 629 08/02/2023 16:00 5625.0 5750.0 5600.0 5700.0 133546200
## 630 08/03/2023 16:00 5725.0 5825.0 5700.0 5800.0 68587500
## 631 08/04/2023 16:00 5800.0 5825.0 5750.0 5775.0 47144200
## 632 08/07/2023 16:00 5850.0 5925.0 5825.0 5875.0 104342100
## 633 08/08/2023 16:00 5900.0 5950.0 5875.0 5900.0 66473200
## 634 08/09/2023 16:00 5900.0 5950.0 5850.0 5900.0 64495400
## 635 08/10/2023 16:00 5925.0 6000.0 5900.0 5975.0 78859600
## 636 08/11/2023 16:00 5975.0 6025.0 5900.0 5925.0 46568600
## 637 8/14/2023 16:00:00 5925.0 5950.0 5800.0 5950.0 86460500
## 638 8/15/2023 16:00:00 5900.0 5925.0 5800.0 5800.0 116815700
## 639 8/16/2023 16:00:00 5775.0 5800.0 5675.0 5800.0 163744100
## 640 8/18/2023 16:00:00 5725.0 5825.0 5725.0 5775.0 104894600
## 641 8/21/2023 16:00:00 5800.0 5875.0 5800.0 5825.0 61845800
## 642 8/22/2023 16:00:00 5800.0 5950.0 5800.0 5950.0 93617200
## 643 8/23/2023 16:00:00 5950.0 5950.0 5850.0 5850.0 40844700
## 644 8/24/2023 16:00:00 5900.0 5950.0 5875.0 5950.0 42648300
## 645 8/25/2023 16:00:00 5900.0 5925.0 5825.0 5900.0 65093100
## 646 8/28/2023 16:00:00 5950.0 6025.0 5900.0 6000.0 63980400
## 647 8/29/2023 16:00:00 6000.0 6025.0 5950.0 5950.0 50839300
## 648 8/30/2023 16:00:00 5925.0 6100.0 5925.0 5975.0 65727400
## 649 8/31/2023 16:00:00 6000.0 6075.0 5900.0 6025.0 159062900
## 650 09/01/2023 16:00 6075.0 6125.0 6050.0 6075.0 50796000
## 651 09/04/2023 16:00 6075.0 6150.0 6050.0 6100.0 56317700
## 652 09/05/2023 16:00 6100.0 6150.0 6075.0 6100.0 24893100
## 653 09/06/2023 16:00 6050.0 6125.0 6050.0 6050.0 40547800
## 654 09/07/2023 16:00 6000.0 6025.0 5825.0 5875.0 124351400
## 655 09/08/2023 16:00 5900.0 5925.0 5775.0 5900.0 81980400
## 656 09/11/2023 16:00 5900.0 5925.0 5825.0 5925.0 74510600
## 657 09/12/2023 16:00 5950.0 5950.0 5850.0 5875.0 54076800
## 658 9/13/2023 16:00:00 5825.0 5850.0 5775.0 5850.0 69884000
## 659 9/14/2023 16:00:00 5825.0 5875.0 5775.0 5825.0 59132600
## 660 9/15/2023 16:00:00 5900.0 5975.0 5850.0 5925.0 165106200
## 661 9/18/2023 16:00:00 5900.0 5950.0 5875.0 5900.0 53450400
## 662 9/19/2023 16:00:00 5900.0 6075.0 5875.0 6000.0 84608400
## 663 9/20/2023 16:00:00 6100.0 6125.0 6050.0 6075.0 64864900
## 664 9/21/2023 16:00:00 6050.0 6075.0 5975.0 6000.0 60535000
## 665 9/22/2023 16:00:00 6000.0 6050.0 5975.0 6000.0 51069900
## 666 9/25/2023 16:00:00 6000.0 6050.0 5975.0 6000.0 40650900
## 667 9/26/2023 16:00:00 5975.0 6000.0 5850.0 5925.0 109786400
## 668 9/27/2023 16:00:00 5925.0 6050.0 5900.0 6000.0 75050600
## 669 9/29/2023 16:00:00 6050.0 6050.0 6000.0 6025.0 71554100
## 670 10/02/2023 16:00 6025.0 6100.0 6025.0 6050.0 33296500
## 671 10/03/2023 16:00 6000.0 6075.0 6000.0 6075.0 37093100
## 672 10/04/2023 16:00 6075.0 6125.0 5975.0 6125.0 69154000
## 673 10/05/2023 16:00 6150.0 6200.0 6100.0 6125.0 69566800
## 674 10/06/2023 16:00 6150.0 6150.0 6025.0 6025.0 25913600
## 675 10/09/2023 16:00 6025.0 6050.0 5900.0 5900.0 45321700
## 676 10/10/2023 16:00 5900.0 6075.0 5900.0 6000.0 42820800
## 677 10/11/2023 16:00 5950.0 6175.0 5950.0 6050.0 72955000
## 678 10/12/2023 16:00 6075.0 6175.0 6050.0 6075.0 91341800
## 679 10/13/2023 16:00:00 6075.0 6150.0 6025.0 6075.0 39914700
## 680 10/16/2023 16:00:00 6025.0 6075.0 5975.0 6025.0 53416400
## 681 10/17/2023 16:00:00 6000.0 6025.0 5925.0 6000.0 74702300
## 682 10/18/2023 16:00:00 5925.0 5950.0 5825.0 5850.0 80637400
## 683 10/19/2023 16:00:00 5775.0 5800.0 5700.0 5725.0 160277800
## 684 10/20/2023 16:00:00 5675.0 5800.0 5650.0 5750.0 82132000
## 685 10/23/2023 16:00:00 5700.0 5725.0 5625.0 5675.0 73897500
## 686 10/24/2023 16:00:00 5700.0 5800.0 5675.0 5750.0 72469200
## 687 10/25/2023 16:00:00 5825.0 5900.0 5775.0 5850.0 90426500
## 688 10/26/2023 16:00:00 5800.0 5850.0 5700.0 5700.0 86348700
## 689 10/27/2023 16:00:00 5750.0 5775.0 5700.0 5700.0 90177000
## 690 10/30/2023 16:00:00 5700.0 5725.0 5625.0 5725.0 81547000
## 691 10/31/2023 16:00:00 5800.0 5850.0 5650.0 5675.0 99449400
## 692 11/01/2023 16:00 5700.0 5700.0 5625.0 5650.0 74281200
## 693 11/02/2023 16:00 5750.0 5925.0 5725.0 5900.0 115678200
## 694 11/03/2023 16:00 5925.0 5975.0 5825.0 5825.0 53379500
## 695 11/06/2023 16:00 5900.0 5925.0 5850.0 5925.0 58266100
## 696 11/07/2023 16:00 5950.0 5975.0 5800.0 5875.0 56161300
## 697 11/08/2023 16:00 5775.0 5850.0 5725.0 5850.0 63442400
## 698 11/09/2023 16:00 5825.0 5900.0 5800.0 5875.0 45026200
## 699 11/10/2023 16:00 5850.0 5850.0 5775.0 5775.0 59611500
## 700 11/13/2023 16:00:00 5850.0 5850.0 5800.0 5825.0 17444600
## 701 11/14/2023 16:00:00 5825.0 5900.0 5800.0 5825.0 50587800
## 702 11/15/2023 16:00:00 5900.0 5975.0 5875.0 5925.0 74255700
## 703 11/16/2023 16:00:00 5850.0 5925.0 5825.0 5925.0 36021500
## 704 11/17/2023 16:00:00 5875.0 5950.0 5850.0 5900.0 33963900
## 705 11/20/2023 16:00:00 5825.0 5925.0 5825.0 5875.0 20014600
## 706 11/21/2023 16:00:00 5850.0 5925.0 5825.0 5875.0 55094300
## 707 11/22/2023 16:00:00 5825.0 5900.0 5825.0 5875.0 21111100
## 708 11/23/2023 16:00:00 5950.0 5950.0 5900.0 5900.0 36725600
## 709 11/24/2023 16:00:00 5925.0 5925.0 5850.0 5875.0 27087900
## 710 11/27/2023 16:00:00 5900.0 5925.0 5875.0 5900.0 39719300
## 711 11/28/2023 16:00:00 5900.0 5925.0 5875.0 5900.0 58255800
## 712 11/29/2023 16:00:00 5850.0 5925.0 5825.0 5850.0 36796600
## 713 11/30/2023 16:00:00 5850.0 5925.0 5825.0 5850.0 117365000
## 714 12/01/2023 16:00 5850.0 5900.0 5825.0 5900.0 31365100
## 715 12/04/2023 16:00 5925.0 6025.0 5900.0 6000.0 66145100
## 716 12/05/2023 16:00 6000.0 6000.0 5875.0 5975.0 58668400
## 717 12/06/2023 16:00 5925.0 5950.0 5800.0 5800.0 88747200
## 718 12/07/2023 16:00 5800.0 5825.0 5725.0 5750.0 97966700
## 719 12/08/2023 16:00 5750.0 5775.0 5650.0 5700.0 98036700
## 720 12/11/2023 16:00 5650.0 5800.0 5650.0 5775.0 68655000
## 721 12/12/2023 16:00 5800.0 5825.0 5750.0 5800.0 55110500
## 722 12/13/2023 16:00:00 5750.0 5775.0 5700.0 5725.0 121450600
## 723 12/14/2023 16:00:00 5825.0 6025.0 5800.0 5950.0 171595800
## 724 12/15/2023 16:00:00 5950.0 6000.0 5900.0 5900.0 142382200
## 725 12/18/2023 16:00:00 5850.0 5950.0 5850.0 5925.0 101458600
## 726 12/19/2023 16:00:00 5950.0 5975.0 5925.0 5975.0 40763200
## 727 12/20/2023 16:00:00 5900.0 5975.0 5900.0 5925.0 65361000
## 728 12/21/2023 16:00:00 5950.0 5975.0 5925.0 5975.0 50363900
## 729 12/22/2023 16:00:00 5950.0 5975.0 5925.0 5975.0 29975600
## 730 12/27/2023 16:00:00 6000.0 6025.0 5925.0 6000.0 43114900
## 731 12/28/2023 16:00:00 6050.0 6150.0 6000.0 6125.0 75118700
## 732 12/29/2023 16:00:00 6125.0 6125.0 6000.0 6050.0 63097100
Mengatur DATE sebagai indeks dan membuat data frame
data_month <- format(data_date, "%Y-%m")
data_month
## [1] "2021-04" "2021-05" "2021-06" "2021-07" "2021-08" "2021-11" "2021-12"
## [8] NA NA NA NA NA NA NA
## [15] NA NA NA NA NA NA "2021-01"
## [22] "2021-02" "2021-03" "2021-04" "2021-05" "2021-08" "2021-09" "2021-10"
## [29] "2021-11" NA NA NA NA NA NA
## [36] NA NA NA NA "2021-01" "2021-02" "2021-03"
## [43] "2021-04" "2021-05" "2021-08" "2021-09" "2021-10" "2021-12" NA
## [50] NA NA NA NA NA NA NA
## [57] NA NA NA NA NA "2021-01" "2021-05"
## [64] "2021-06" "2021-07" "2021-08" "2021-09" "2021-12" NA NA
## [71] NA NA NA NA NA NA NA
## [78] NA NA NA NA NA "2021-03" "2021-04"
## [85] "2021-05" "2021-06" "2021-07" "2021-10" "2021-11" NA NA
## [92] NA NA NA NA NA NA NA
## [99] NA "2021-02" "2021-03" "2021-04" "2021-07" "2021-08" "2021-09"
## [106] "2021-10" "2021-11" NA NA NA NA NA
## [113] NA NA NA NA NA NA NA
## [120] NA "2021-01" "2021-02" "2021-05" "2021-06" "2021-07" "2021-08"
## [127] "2021-09" "2021-12" NA NA NA NA NA
## [134] NA NA NA NA NA NA NA
## [141] NA "2021-02" "2021-03" "2021-04" "2021-05" "2021-06" "2021-09"
## [148] "2021-10" "2021-12" NA NA NA NA NA
## [155] NA NA NA NA NA NA NA
## [162] "2021-01" "2021-02" "2021-03" "2021-06" "2021-07" "2021-08" "2021-09"
## [169] "2021-10" NA NA NA NA NA NA
## [176] NA NA NA NA NA NA NA
## [183] NA "2021-01" "2021-04" "2021-05" "2021-06" "2021-07" "2021-08"
## [190] "2021-11" "2021-12" NA NA NA NA NA
## [197] NA NA NA NA NA NA NA
## [204] "2021-01" "2021-02" "2021-03" "2021-04" "2021-05" "2021-08" "2021-09"
## [211] "2021-10" "2021-11" "2021-12" NA NA NA NA
## [218] NA NA NA NA NA NA NA
## [225] NA "2021-01" "2021-02" "2021-03" "2021-06" "2021-07" "2021-08"
## [232] "2021-09" "2021-10" NA NA NA NA NA
## [239] NA NA NA NA NA NA NA
## [246] NA NA "2022-03" "2022-04" "2022-05" "2022-06" "2022-07"
## [253] "2022-10" "2022-11" "2022-12" NA NA NA NA
## [260] NA NA NA NA NA NA NA
## [267] NA NA "2022-02" "2022-03" "2022-04" "2022-07" "2022-08"
## [274] "2022-09" "2022-10" "2022-11" NA NA NA NA
## [281] NA NA NA NA NA NA "2022-01"
## [288] "2022-02" "2022-04" "2022-07" "2022-08" "2022-09" "2022-10" "2022-11"
## [295] NA NA NA NA NA NA NA
## [302] NA NA NA NA NA NA NA
## [309] "2022-01" "2022-04" "2022-05" "2022-06" "2022-07" "2022-08" "2022-11"
## [316] "2022-12" NA NA NA NA NA NA
## [323] NA NA NA NA NA "2022-09" "2022-10"
## [330] "2022-11" "2022-12" NA NA NA NA NA
## [337] NA NA NA NA NA NA "2022-02"
## [344] "2022-03" "2022-06" "2022-07" "2022-08" "2022-09" "2022-10" NA
## [351] NA NA NA NA NA NA NA
## [358] NA NA NA NA NA NA "2022-01"
## [365] "2022-04" "2022-05" "2022-06" "2022-07" "2022-08" "2022-11" "2022-12"
## [372] NA NA NA NA NA NA NA
## [379] NA NA NA NA NA NA "2022-01"
## [386] "2022-02" "2022-03" "2022-04" "2022-05" "2022-08" "2022-09" "2022-10"
## [393] "2022-11" "2022-12" NA NA NA NA NA
## [400] NA NA NA NA NA NA NA
## [407] "2022-01" "2022-02" "2022-05" "2022-06" "2022-07" "2022-08" "2022-09"
## [414] "2022-12" NA NA NA NA NA NA
## [421] NA NA NA NA NA NA NA
## [428] NA "2022-03" "2022-04" "2022-05" "2022-06" "2022-07" "2022-10"
## [435] "2022-11" "2022-12" NA NA NA NA NA
## [442] NA NA NA NA NA NA NA
## [449] NA "2022-01" "2022-02" "2022-03" "2022-04" "2022-07" "2022-08"
## [456] "2022-09" "2022-10" "2022-11" NA NA NA NA
## [463] NA NA NA NA NA NA NA
## [470] NA NA "2022-01" "2022-02" "2022-05" "2022-06" "2022-07"
## [477] "2022-08" "2022-09" "2022-12" NA NA NA NA
## [484] NA NA NA NA NA NA NA
## [491] NA NA NA "2023-02" "2023-03" "2023-04" "2023-05"
## [498] "2023-06" "2023-09" "2023-10" "2023-11" "2023-12" NA NA
## [505] NA NA NA NA NA NA NA
## [512] NA NA NA "2023-01" "2023-02" "2023-03" "2023-06"
## [519] "2023-07" "2023-08" "2023-09" "2023-10" NA NA NA
## [526] NA NA NA NA NA NA NA
## [533] NA NA "2023-01" "2023-02" "2023-03" "2023-06" "2023-07"
## [540] "2023-08" "2023-09" "2023-10" NA NA NA NA
## [547] NA NA NA NA NA NA NA
## [554] NA NA "2023-03" "2023-04" "2023-05" "2023-06" "2023-10"
## [561] "2023-11" "2023-12" NA NA NA NA NA
## [568] NA NA "2023-02" "2023-03" "2023-04" "2023-05" "2023-08"
## [575] "2023-09" "2023-10" "2023-11" "2023-12" NA NA NA
## [582] NA NA NA NA NA NA NA
## [589] NA NA "2023-05" "2023-06" "2023-07" "2023-08" "2023-09"
## [596] "2023-12" NA NA NA NA NA NA
## [603] NA NA NA NA NA "2023-03" "2023-04"
## [610] "2023-05" "2023-06" "2023-07" "2023-10" "2023-11" "2023-12" NA
## [617] NA NA NA NA NA NA NA
## [624] NA NA NA NA "2023-01" "2023-02" "2023-03"
## [631] "2023-04" "2023-07" "2023-08" "2023-09" "2023-10" "2023-11" NA
## [638] NA NA NA NA NA NA NA
## [645] NA NA NA NA NA "2023-01" "2023-04"
## [652] "2023-05" "2023-06" "2023-07" "2023-08" "2023-11" "2023-12" NA
## [659] NA NA NA NA NA NA NA
## [666] NA NA NA NA "2023-02" "2023-03" "2023-04"
## [673] "2023-05" "2023-06" "2023-09" "2023-10" "2023-11" "2023-12" NA
## [680] NA NA NA NA NA NA NA
## [687] NA NA NA NA NA "2023-01" "2023-02"
## [694] "2023-03" "2023-06" "2023-07" "2023-08" "2023-09" "2023-10" NA
## [701] NA NA NA NA NA NA NA
## [708] NA NA NA NA NA NA "2023-01"
## [715] "2023-04" "2023-05" "2023-06" "2023-07" "2023-08" "2023-11" "2023-12"
## [722] NA NA NA NA NA NA NA
## [729] NA NA NA NA
Mengatur DATE sebagai indeks dan membuat time series
data_ts <- ts(data$Close, start=c(2021, 4), frequency=365) # Misalkan frekuensi harian
data_ts
## Time Series:
## Start = c(2021, 4)
## End = c(2023, 5)
## Frequency = 365
## [1] 3250.0 3212.5 3212.5 3237.5 3275.0 3425.0 3475.0 3462.5 3425.0 3362.5
## [11] 3462.5 3487.5 3687.5 3625.0 3600.0 3650.0 3687.5 3650.0 3525.0 3287.5
## [21] 3350.0 3237.5 3250.0 3287.5 3275.0 3287.5 3250.0 3250.0 3250.0 3250.0
## [31] 3237.5 3175.0 3125.0 3187.5 3187.5 3162.5 3187.5 3137.5 3075.0 3287.5
## [41] 3300.0 3300.0 3275.0 3237.5 3212.5 3212.5 3250.0 3362.5 3325.0 3275.0
## [51] 3262.5 3400.0 3387.5 3312.5 3337.5 3212.5 3200.0 3212.5 3187.5 3162.5
## [61] 3075.0 3100.0 3112.5 3137.5 3162.5 3137.5 3237.5 3150.0 3150.0 3162.5
## [71] 3150.0 3150.0 3112.5 3100.0 3062.5 3062.5 3075.0 2987.5 3025.0 3100.0
## [81] 3112.5 3087.5 3025.0 3050.0 3025.0 3037.5 2975.0 2987.5 2950.0 2962.5
## [91] 2950.0 2837.5 2825.0 2912.5 2875.0 2950.0 2875.0 2900.0 3000.0 3050.0
## [101] 3125.0 3062.5 3062.5 3000.0 3075.0 3100.0 3137.5 3137.5 3162.5 3137.5
## [111] 3100.0 3100.0 3012.5 3087.5 3012.5 2987.5 2950.0 2850.0 2887.5 2950.0
## [121] 2987.5 2975.0 2925.0 2887.5 2875.0 2950.0 2887.5 2900.0 2887.5 2850.0
## [131] 2937.5 2937.5 2875.0 2962.5 3025.0 2987.5 2900.0 2912.5 2950.0 2875.0
## [141] 2850.0 2837.5 2887.5 2912.5 3025.0 2987.5 2900.0 2900.0 2962.5 3000.0
## [151] 2987.5 3025.0 2925.0 2950.0 2987.5 2912.5 2975.0 2912.5 2900.0 2975.0
## [161] 3050.0 3000.0 3025.0 3062.5 3100.0 3125.0 3125.0 3175.0 3100.0 3075.0
## [171] 3050.0 3062.5 3075.0 3025.0 3012.5 2987.5 3037.5 3037.5 2987.5 2950.0
## [181] 2975.0 3000.0 3075.0 3050.0 3237.5 3212.5 3300.0 3350.0 3450.0 3450.0
## [191] 3500.0 3550.0 3587.5 3575.0 3587.5 3600.0 3587.5 3600.0 3562.5 3587.5
## [201] 3575.0 3512.5 3587.5 3587.5 3512.5 3562.5 3587.5 3550.0 3500.0 3437.5
## [211] 3575.0 3612.5 3550.0 3525.0 3612.5 3612.5 3587.5 3625.0 3675.0 3575.0
## [221] 3575.0 3675.0 3550.0 3587.5 3500.0 3537.5 3600.0 3575.0 3587.5 3650.0
## [231] 3575.0 3675.0 3600.0 3562.5 3587.5 3637.5 3625.0 3575.0 3537.5 3575.0
## [241] 3525.0 3537.5 3525.0 3500.0 3525.0 3550.0 3512.5 3525.0 3587.5 3512.5
## [251] 3512.5 3525.0 3525.0 3525.0 3575.0 3562.5 3587.5 3600.0 3625.0 3512.5
## [261] 3587.5 3650.0 3637.5 3612.5 3737.5 3775.0 3825.0 3737.5 3737.5 3737.5
## [271] 3737.5 3750.0 3812.5 3837.5 3862.5 3862.5 3900.0 3950.0 3925.0 3925.0
## [281] 3925.0 3925.0 3937.5 3937.5 3850.0 3850.0 3825.0 3812.5 3825.0 3775.0
## [291] 3775.0 3812.5 3837.5 3825.0 3875.0 3887.5 3975.0 3975.0 3962.5 3825.0
## [301] 3837.5 3887.5 3962.5 3925.0 3937.5 3962.5 3937.5 3950.0 3937.5 3912.5
## [311] 3912.5 3837.5 3850.0 3850.0 3837.5 3850.0 3862.5 3837.5 3812.5 3787.5
## [321] 3925.0 4150.0 4137.5 4112.5 4175.0 4112.5 4475.0 4162.5 4050.0 4000.0
## [331] 3937.5 3900.0 3925.0 3950.0 3950.0 4000.0 3937.5 3962.5 3925.0 4050.0
## [341] 4100.0 4250.0 4100.0 4100.0 4075.0 4150.0 4200.0 4212.5 4087.5 4050.0
## [351] 4100.0 4150.0 4187.5 4037.5 4125.0 4125.0 4075.0 4075.0 4150.0 4112.5
## [361] 4062.5 3975.0 3962.5 3800.0 3700.0 3825.0 3762.5 3712.5 3737.5 3737.5
## [371] 3712.5 3637.5 3637.5 3587.5 3675.0 3712.5 3950.0 3950.0 3925.0 3887.5
## [381] 4000.0 4050.0 4025.0 4137.5 3987.5 4087.5 4125.0 4125.0 4125.0 4175.0
## [391] 4237.5 4300.0 4262.5 4237.5 4225.0 4262.5 4300.0 4250.0 4262.5 4312.5
## [401] 4312.5 4287.5 4250.0 4275.0 4325.0 4425.0 4462.5 4425.0 4475.0 4412.5
## [411] 4437.5 4475.0 4537.5 4587.5 4725.0 4650.0 4675.0 4550.0 4612.5 4600.0
## [421] 4637.5 4600.0 4600.0 4625.0 4675.0 4650.0 4625.0 4712.5 4637.5 4612.5
## [431] 4637.5 4662.5 4712.5 4650.0 4650.0 4712.5 4737.5 4700.0 4725.0 4750.0
## [441] 4737.5 4950.0 5175.0 5125.0 5112.5 5100.0 5100.0 5100.0 5275.0 5200.0
## [451] 5037.5 5087.5 5075.0 5125.0 5075.0 5075.0 5050.0 5212.5 5125.0 5125.0
## [461] 5000.0 4950.0 5087.5 5050.0 5062.5 5100.0 5112.5 5087.5 5062.5 5162.5
## [471] 5262.5 5200.0 5262.5 5437.5 5450.0 5187.5 5025.0 4962.5 4975.0 4950.0
## [481] 4975.0 4950.0 5050.0 5000.0 5025.0 5000.0 4975.0 4962.5 5025.0 4975.0
## [491] 4987.5 4987.5 4962.5 4937.5 4975.0 5012.5 4912.5 4900.0 4862.5 4637.5
## [501] 4475.0 4600.0 4587.5 4650.0 4875.0 4775.0 4875.0 4987.5 4950.0 4850.0
## [511] 4912.5 5012.5 4975.0 4975.0 4850.0 4862.5 4962.5 4937.5 5087.5 5100.0
## [521] 5125.0 5150.0 5175.0 5187.5 5112.5 5087.5 5150.0 5137.5 5100.0 5000.0
## [531] 5037.5 5062.5 5075.0 5000.0 5050.0 5112.5 5025.0 5062.5 5087.5 5137.5
## [541] 5225.0 5187.5 5175.0 4962.5 5025.0 4925.0 5050.0 5000.0 5250.0 5450.0
## [551] 5100.0 5062.5 5175.0 5112.5 5162.5 5262.5 5200.0 5225.0 5175.0 5100.0
## [561] 5100.0 5150.0 5125.0 5225.0 5125.0 5175.0 5200.0 5200.0 5175.0 5250.0
## [571] 5225.0 5175.0 5175.0 5125.0 5050.0 5075.0 5100.0 5000.0 5050.0 4990.0
## [581] 5000.0 5075.0 5225.0 5125.0 5075.0 5175.0 5125.0 5150.0 5150.0 5050.0
## [591] 5075.0 5050.0 5025.0 5025.0 5125.0 5100.0 5100.0 5050.0 5125.0 5150.0
## [601] 5125.0 5100.0 5100.0 5075.0 5075.0 5125.0 5200.0 5350.0 5250.0 5275.0
## [611] 5300.0 5150.0 5175.0 5275.0 5300.0 5350.0 5400.0 5375.0 5350.0 5525.0
## [621] 5550.0 5500.0 5550.0 5575.0 5625.0 5700.0 5725.0 5650.0 5700.0 5800.0
## [631] 5775.0 5875.0 5900.0 5900.0 5975.0 5925.0 5950.0 5800.0 5800.0 5775.0
## [641] 5825.0 5950.0 5850.0 5950.0 5900.0 6000.0 5950.0 5975.0 6025.0 6075.0
## [651] 6100.0 6100.0 6050.0 5875.0 5900.0 5925.0 5875.0 5850.0 5825.0 5925.0
## [661] 5900.0 6000.0 6075.0 6000.0 6000.0 6000.0 5925.0 6000.0 6025.0 6050.0
## [671] 6075.0 6125.0 6125.0 6025.0 5900.0 6000.0 6050.0 6075.0 6075.0 6025.0
## [681] 6000.0 5850.0 5725.0 5750.0 5675.0 5750.0 5850.0 5700.0 5700.0 5725.0
## [691] 5675.0 5650.0 5900.0 5825.0 5925.0 5875.0 5850.0 5875.0 5775.0 5825.0
## [701] 5825.0 5925.0 5925.0 5900.0 5875.0 5875.0 5875.0 5900.0 5875.0 5900.0
## [711] 5900.0 5850.0 5850.0 5900.0 6000.0 5975.0 5800.0 5750.0 5700.0 5775.0
## [721] 5800.0 5725.0 5950.0 5900.0 5925.0 5975.0 5925.0 5975.0 5975.0 6000.0
## [731] 6125.0 6050.0
Plot Time Series
plot(data_ts, main="Plot Runtun Waktu Harga Penutupan Saham Bank Mandiri", ylab="Harga Penutupan", xlab="Waktu")
Uji Stasioneritas Mean dengan Augmented Dickey Fuller
adf_test_mean <- adf.test(data_ts)
print(adf_test_mean)
##
## Augmented Dickey-Fuller Test
##
## data: data_ts
## Dickey-Fuller = -3.3894, Lag order = 9, p-value = 0.05527
## alternative hypothesis: stationary
Differencing Data
# Melakukan differencing jika diperlukan
data_diff <- diff(data_ts)
# Plot data yang telah di-difference
plot(data_diff, main="Data Setelah Differencing", ylab="Harga Penutupan (Differenced)", xlab="Waktu")
Uji ADF untuk Stasioneritas mean setelah differencing
adf_test_mean2 <- adf.test(data_diff)
## Warning in adf.test(data_diff): p-value smaller than printed p-value
print(adf_test_mean2)
##
## Augmented Dickey-Fuller Test
##
## data: data_diff
## Dickey-Fuller = -9.2431, Lag order = 9, p-value = 0.01
## alternative hypothesis: stationary
Menghitung residual untuk Uji Varians menggunakan model ARIMA
fit <- auto.arima(data_ts)
residuals <- residuals(fit)
residuals
## Time Series:
## Start = c(2021, 4)
## End = c(2023, 5)
## Frequency = 365
## [1] 3.2461601 -40.8925914 -8.3373934 16.7865280 35.0206256
## [6] 151.8417568 67.6572838 4.5688874 -35.1529076 -70.2606652
## [11] 84.6393584 25.6783267 206.3428631 -38.9483606 -16.4465108
## [16] 40.9101175 37.3012182 -33.3709403 -129.8206842 -260.0020767
## [21] 16.0445207 -135.9951771 -6.6485954 21.5392855 -14.2548452
## [26] 8.7082589 -41.4577527 -8.1881096 -8.2877984 -5.5334343
## [31] -17.7046143 -68.9652169 -63.7511629 45.1243724 -3.6166526
## [36] -25.5284834 17.7366028 -53.7902327 -71.4467358 195.4443914
## [41] 26.6412473 15.6748016 -24.7043610 -43.0583349 -36.1624611
## [46] -11.8447076 29.2050010 111.2512830 -25.2934597 -47.6826927
## [51] -24.2774283 126.7253722 -2.8469453 -68.6486784 12.5230806
## [56] -133.0140174 -31.5765563 -6.2637741 -32.2305976 -33.3037999
## [61] -98.0944434 6.3865158 1.2863344 21.8503196 23.9430583
## [66] -24.0907936 95.2043141 -81.6893223 -5.9194433 1.1443762
## [71] -16.6903672 -5.7857832 -43.4342223 -22.1352761 -47.6591623
## [76] -11.5119269 3.2897126 -91.8928448 22.6885005 66.2972513
## [81] 18.6626821 -21.0410427 -67.3615176 11.1676721 -33.0728724
## [86] 5.5426397 -68.4100252 0.7499326 -46.9351005 2.9797305
## [91] -19.8764276 -118.5231082 -32.4972064 69.8285503 -35.4941322
## [96] 72.6242937 -72.9011700 18.2784877 92.3367737 58.9829694
## [101] 86.0591398 -50.9005417 -2.9116454 -70.9272292 62.2388260
## [106] 22.8812723 41.6377934 3.1606141 25.0110643 -25.5142373
## [111] -42.3810918 -11.1469185 -96.2267113 58.4575837 -79.6853178
## [116] -33.7298762 -52.0927284 -113.0187147 15.4975088 51.1603985
## [121] 41.2120931 -7.0399133 -51.2727889 -48.1989351 -26.5009447
## [126] 63.9103050 -60.7198485 6.5447540 -20.5863828 -43.3135478
## [131] 76.6487371 1.9411560 -59.7268221 76.5131949 63.0597072
## [136] -27.2577268 -89.4305125 -4.5503299 25.6682183 -76.0750176
## [141] -36.0146348 -27.0721450 39.8535909 23.7883253 114.8873456
## [146] -25.2988662 -84.8809946 -16.3306187 49.6047349 38.3749991
## [151] -7.5165108 35.9329589 -100.0653600 11.9027340 26.7975772
## [156] -74.5686258 51.7636469 -66.2035997 -20.1364739 63.1920665
## [161] 77.2214884 -39.1321805 22.7937949 33.1974958 39.6203226
## [166] 28.7715479 2.9778501 48.9187922 -72.6033422 -33.6563117
## [171] -38.9948172 1.0904703 5.5526247 -53.0679216 -22.3715003
## [176] -35.9891724 39.8967325 -1.9478975 -50.7589514 -47.7126151
## [181] 11.1013051 18.5529259 74.3556589 -18.1949378 187.6180165
## [186] -7.3884333 98.3590630 57.5856896 111.3889137 14.5834051
## [191] 57.2093252 54.3764148 45.0742860 -6.2997847 11.6389602
## [196] 9.5624488 -14.1999863 7.7190292 -41.5742638 16.7153703
## [201] -17.7495228 -67.1205953 61.4708680 -1.8961751 -73.9586057
## [206] 36.9522548 19.5343445 -35.8745668 -56.6045251 -76.2492619
## [211] 119.6225801 41.9619747 -51.2551042 -31.6219775 75.5293979
## [216] 2.7763812 -22.2176775 31.1734340 48.1296287 -95.3553014
## [221] -11.5065724 86.8241554 -119.1685277 26.2965766 -98.0292846
## [226] 23.8506100 53.4292023 -20.3156163 10.6183073 58.2720317
## [231] -70.8232404 92.3393334 -73.4260463 -42.6463318 9.8364718
## [236] 43.8194126 -10.1571264 -51.4374942 -48.4783080 23.4511664
## [241] -54.9992329 3.8804927 -20.4367621 -31.0167845 15.6661933
## [246] 20.4999834 -37.5264415 5.7735987 56.2479019 -71.4738417
## [251] -7.9086126 1.7503965 -4.2816068 -4.2166673 45.2896845
## [256] -11.1457788 23.5637653 10.6189660 24.4209392 -112.4662579
## [261] 59.4276829 56.5830006 -4.4711781 -24.6802178 117.7693641
## [266] 46.0234248 61.5878754 -79.9732684 -8.5048168 -11.5293506
## [271] -5.9565074 6.9740513 59.0200510 28.9652694 29.6147606
## [276] 2.1950219 36.3930990 50.7985277 -19.5946063 -2.0122035
## [281] -5.7138741 -4.7048462 7.6108343 -3.2979295 -91.1089443
## [286] -15.2633580 -38.2825323 -22.2928708 2.7499426 -55.3554063
## [291] -10.3845274 27.7877086 23.6992416 -11.1269060 46.7707037
## [296] 13.4608580 89.1985539 8.1982652 -7.9174171 -141.6254801
## [301] -9.3302694 33.2428799 74.4545737 -29.4612760 11.2473424
## [306] 20.0885050 -25.4442561 7.2181337 -17.5705956 -30.3884469
## [311] -9.0185653 -82.4689613 -2.1816053 -10.9629772 -17.8613764
## [316] 5.5640986 7.8575260 -27.4138139 -31.5399999 -34.9780263
## [321] 126.7580735 233.7672398 22.8135101 -6.6069107 59.7502572
## [326] -59.5746962 356.3389781 -277.6794586 -120.6920183 -91.7004893
## [331] -87.5977619 -59.6848096 6.5726529 17.0031013 -1.2106097
## [336] 47.4275469 -60.6341523 17.6846048 -44.2158381 117.2207609
## [341] 56.8317797 162.8651022 -129.1790598 -6.1053746 -40.3274291
## [346] 65.7183918 50.8516923 20.3504700 -122.1188609 -54.5921931
## [351] 29.3253128 45.2113051 41.6338397 -144.9829971 69.3792768
## [356] -7.4029697 -48.9749579 -10.4478913 65.8105250 -34.1523734
## [361] -52.5456093 -100.6092764 -33.0213462 -178.7459600 -128.4610239
## [366] 90.5755517 -65.9348358 -54.3761431 9.0237852 -7.2554553
## [371] -28.9758151 -82.9879076 -16.4046815 -62.7469085 74.6179997
## [376] 37.5766144 244.4657730 29.2069562 -4.9347643 -39.5134346
## [381] 103.4153606 55.5331540 -13.4418377 111.6345524 -141.2928846
## [386] 88.1518817 32.7014844 7.4945219 -0.2016103 46.7603456
## [391] 64.3680924 70.4282847 -27.3658147 -26.3310012 -21.8364998
## [396] 28.7996379 35.3707943 -47.1142641 5.8367293 42.9583451
## [401] 1.9048846 -25.0328142 -44.2435837 13.6651622 44.1551894
## [406] 102.7023476 49.9034222 -26.6901579 47.0449309 -62.7997543
## [411] 17.3877377 30.5677455 63.8489194 56.5182333 145.8885466
## [416] -56.2829123 26.4047650 -130.2867372 44.9115816 -21.6755179
## [421] 34.7435775 -38.8883338 -5.7086468 17.2293280 47.7958166
## [426] -21.5556908 -27.5019157 78.5033364 -71.5170280 -31.0632289
## [431] 11.4128865 19.9755544 49.5556857 -58.6119338 -6.8909265
## [436] 52.9444950 27.0687215 -33.6225780 19.2976257 20.7277514
## [441] -12.1965899 208.8926872 245.7141946 -6.3943162 3.3117705
## [446] -16.4645859 -5.5779180 -5.8900064 169.9770868 -58.5242991
## [451] -159.3664580 21.7901351 -26.9235256 44.6785848 -50.6087799
## [456] -6.3169711 -33.8197490 153.9972784 -75.3026065 -0.2487878
## [461] -135.1304933 -70.3976496 113.8088725 -33.2629756 14.0545880
## [466] 32.6159533 13.8224309 -24.4342430 -30.6793103 90.3750832
## [471] 104.6717492 -46.0120864 61.7344052 174.8913753 35.2005308
## [476] -247.4867216 -193.7012335 -110.6254647 -20.9851530 -40.6057417
## [481] 14.4469884 -30.4466142 93.6367646 -44.9097001 23.4517041
## [486] -29.7024165 -30.5233575 -22.5439090 53.3644385 -49.1815180
## [491] 7.0799925 -7.0613948 -29.1137015 -32.9886464 27.2033167
## [496] 34.2480527 -97.3844211 -25.4092527 -52.5461420 -237.3823000
## [501] -199.7611906 76.9730922 -23.5286810 62.1828687 226.8158897
## [506] -70.9070786 106.3444785 115.7810871 -18.3244539 -96.4530688
## [511] 45.3330255 93.6895302 -26.1017224 0.7580208 -130.9159281
## [516] -7.2981023 84.3821609 -19.1174472 150.8388718 25.5334149
## [521] 36.8300033 27.7927246 27.6260195 14.3541137 -74.7841119
## [526] -36.7974733 47.9393889 -13.5307629 -39.0077971 -109.7375614
## [531] 16.9871812 14.1155682 11.8020108 -76.2199395 37.8145719
## [536] 56.9518413 -81.2232917 28.4566782 17.8904605 50.7177796
## [541] 91.3569085 -25.9394408 -11.9160885 -219.9536315 30.7505495
## [546] -118.3650280 109.2320700 -50.3119031 249.0873632 222.4641541
## [551] -305.8974920 -60.2781277 75.8471386 -62.0676564 44.8724117
## [556] 96.4925031 -50.7969662 22.9686264 -55.2511015 -83.6904598
## [561] -18.6756112 36.9167286 -25.8728997 96.0650367 -94.2321701
## [566] 42.6169980 18.5417934 1.9750103 -27.0546103 68.0147979
## [571] -22.7635357 -50.9684188 -11.9691939 -59.5414368 -87.1208424
## [576] 5.5477741 14.5961989 -101.5904178 34.9418043 -68.0094633
## [581] 0.7436700 65.5974421 154.2521909 -79.5042875 -50.7418387
## [586] 83.3402126 -47.8575728 22.2346923 -5.0965007 -102.6130142
## [591] 8.1790846 -36.3700167 -32.6094199 -10.8536743 92.1217508
## [596] -18.4658569 1.5622127 -55.1825353 64.5378638 24.4719173
## [601] -20.4763474 -29.3093321 -9.1281215 -32.3926353 -8.5618191
## [606] 42.4202804 75.6417069 158.9471730 -78.0944242 24.8211312
## [611] 17.7056856 -149.6071521 4.3235556 84.2502639 31.8328185
## [616] 57.0637626 55.7929887 -17.2644423 -26.3116935 166.5058514
## [621] 39.3526701 -35.1758421 45.1290021 23.7601189 52.8225746
## [626] 79.6026130 35.2969641 -67.8987362 40.7867556 95.5075668
## [631] -13.7572598 102.4200535 32.5531136 8.6628444 74.9290441
## [636] -43.9471786 22.0138519 -154.7983575 -20.9535525 -44.2751081
## [641] 39.0005184 122.2533899 -85.6323453 95.8472544 -49.2281716
## [646] 98.1069767 -45.9243821 23.6992403 45.2435030 53.6699397
## [651] 31.4927918 4.4792138 -50.6711670 -184.6674192 -5.6534435
## [656] 5.1137021 -53.6824377 -34.9832105 -37.5838341 88.6528227
## [661] -21.1131917 100.9497409 81.7614717 -60.4367558 -4.4361693
## [666] -9.4068092 -80.3583955 60.5444245 21.8896361 28.8755266
## [671] 26.5161660 51.8083189 4.7076585 -98.9538526 -140.5577935
## [676] 70.7301946 43.1303521 32.3222074 3.7042986 -50.6970389
## [681] -34.7350244 -162.3052049 -151.5913243 -10.8882462 -92.7765207
## [686] 58.9013664 95.6559008 -137.2327694 -12.6799145 8.1981927
## [691] -53.8892156 -34.7520249 237.4272662 -52.6690432 109.4590495
## [696] -44.8211180 -25.2217389 14.3477536 -104.1794900 34.6042653
## [701] -8.2660715 98.0276608 7.4721482 -19.7720955 -30.6367681
## [706] -9.2320252 -7.5157363 19.4742516 -27.0796948 19.4668919
## [711] -3.7074530 -52.6731659 -10.5932152 40.4852110 100.2359492
## [716] -13.2036231 -172.1189937 -76.0019829 -77.4528578 55.3622588
## [721] 21.4969976 -71.6034562 214.1857831 -33.5780055 34.8629575
## [726] 47.6365159 -45.1088486 44.6021407 -2.1303518 24.6100000
## [731] 123.9967012 -61.6156352
Uji Stasioneritas Varians dengan Uji Lavene
# Melakukan uji Levene untuk homogenitas varians
levene_test <- leveneTest(Close ~ data_month, data=data)
## Warning in leveneTest.default(y = y, group = group, ...): group coerced to
## factor.
print(levene_test)
## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 35 1.2814 0.1436
## 252
Identifiksi trend atau musiman
dekomposisi <- decompose(data_ts, type = "multiplicative")
dekomposisi
## $x
## Time Series:
## Start = c(2021, 4)
## End = c(2023, 5)
## Frequency = 365
## [1] 3250.0 3212.5 3212.5 3237.5 3275.0 3425.0 3475.0 3462.5 3425.0 3362.5
## [11] 3462.5 3487.5 3687.5 3625.0 3600.0 3650.0 3687.5 3650.0 3525.0 3287.5
## [21] 3350.0 3237.5 3250.0 3287.5 3275.0 3287.5 3250.0 3250.0 3250.0 3250.0
## [31] 3237.5 3175.0 3125.0 3187.5 3187.5 3162.5 3187.5 3137.5 3075.0 3287.5
## [41] 3300.0 3300.0 3275.0 3237.5 3212.5 3212.5 3250.0 3362.5 3325.0 3275.0
## [51] 3262.5 3400.0 3387.5 3312.5 3337.5 3212.5 3200.0 3212.5 3187.5 3162.5
## [61] 3075.0 3100.0 3112.5 3137.5 3162.5 3137.5 3237.5 3150.0 3150.0 3162.5
## [71] 3150.0 3150.0 3112.5 3100.0 3062.5 3062.5 3075.0 2987.5 3025.0 3100.0
## [81] 3112.5 3087.5 3025.0 3050.0 3025.0 3037.5 2975.0 2987.5 2950.0 2962.5
## [91] 2950.0 2837.5 2825.0 2912.5 2875.0 2950.0 2875.0 2900.0 3000.0 3050.0
## [101] 3125.0 3062.5 3062.5 3000.0 3075.0 3100.0 3137.5 3137.5 3162.5 3137.5
## [111] 3100.0 3100.0 3012.5 3087.5 3012.5 2987.5 2950.0 2850.0 2887.5 2950.0
## [121] 2987.5 2975.0 2925.0 2887.5 2875.0 2950.0 2887.5 2900.0 2887.5 2850.0
## [131] 2937.5 2937.5 2875.0 2962.5 3025.0 2987.5 2900.0 2912.5 2950.0 2875.0
## [141] 2850.0 2837.5 2887.5 2912.5 3025.0 2987.5 2900.0 2900.0 2962.5 3000.0
## [151] 2987.5 3025.0 2925.0 2950.0 2987.5 2912.5 2975.0 2912.5 2900.0 2975.0
## [161] 3050.0 3000.0 3025.0 3062.5 3100.0 3125.0 3125.0 3175.0 3100.0 3075.0
## [171] 3050.0 3062.5 3075.0 3025.0 3012.5 2987.5 3037.5 3037.5 2987.5 2950.0
## [181] 2975.0 3000.0 3075.0 3050.0 3237.5 3212.5 3300.0 3350.0 3450.0 3450.0
## [191] 3500.0 3550.0 3587.5 3575.0 3587.5 3600.0 3587.5 3600.0 3562.5 3587.5
## [201] 3575.0 3512.5 3587.5 3587.5 3512.5 3562.5 3587.5 3550.0 3500.0 3437.5
## [211] 3575.0 3612.5 3550.0 3525.0 3612.5 3612.5 3587.5 3625.0 3675.0 3575.0
## [221] 3575.0 3675.0 3550.0 3587.5 3500.0 3537.5 3600.0 3575.0 3587.5 3650.0
## [231] 3575.0 3675.0 3600.0 3562.5 3587.5 3637.5 3625.0 3575.0 3537.5 3575.0
## [241] 3525.0 3537.5 3525.0 3500.0 3525.0 3550.0 3512.5 3525.0 3587.5 3512.5
## [251] 3512.5 3525.0 3525.0 3525.0 3575.0 3562.5 3587.5 3600.0 3625.0 3512.5
## [261] 3587.5 3650.0 3637.5 3612.5 3737.5 3775.0 3825.0 3737.5 3737.5 3737.5
## [271] 3737.5 3750.0 3812.5 3837.5 3862.5 3862.5 3900.0 3950.0 3925.0 3925.0
## [281] 3925.0 3925.0 3937.5 3937.5 3850.0 3850.0 3825.0 3812.5 3825.0 3775.0
## [291] 3775.0 3812.5 3837.5 3825.0 3875.0 3887.5 3975.0 3975.0 3962.5 3825.0
## [301] 3837.5 3887.5 3962.5 3925.0 3937.5 3962.5 3937.5 3950.0 3937.5 3912.5
## [311] 3912.5 3837.5 3850.0 3850.0 3837.5 3850.0 3862.5 3837.5 3812.5 3787.5
## [321] 3925.0 4150.0 4137.5 4112.5 4175.0 4112.5 4475.0 4162.5 4050.0 4000.0
## [331] 3937.5 3900.0 3925.0 3950.0 3950.0 4000.0 3937.5 3962.5 3925.0 4050.0
## [341] 4100.0 4250.0 4100.0 4100.0 4075.0 4150.0 4200.0 4212.5 4087.5 4050.0
## [351] 4100.0 4150.0 4187.5 4037.5 4125.0 4125.0 4075.0 4075.0 4150.0 4112.5
## [361] 4062.5 3975.0 3962.5 3800.0 3700.0 3825.0 3762.5 3712.5 3737.5 3737.5
## [371] 3712.5 3637.5 3637.5 3587.5 3675.0 3712.5 3950.0 3950.0 3925.0 3887.5
## [381] 4000.0 4050.0 4025.0 4137.5 3987.5 4087.5 4125.0 4125.0 4125.0 4175.0
## [391] 4237.5 4300.0 4262.5 4237.5 4225.0 4262.5 4300.0 4250.0 4262.5 4312.5
## [401] 4312.5 4287.5 4250.0 4275.0 4325.0 4425.0 4462.5 4425.0 4475.0 4412.5
## [411] 4437.5 4475.0 4537.5 4587.5 4725.0 4650.0 4675.0 4550.0 4612.5 4600.0
## [421] 4637.5 4600.0 4600.0 4625.0 4675.0 4650.0 4625.0 4712.5 4637.5 4612.5
## [431] 4637.5 4662.5 4712.5 4650.0 4650.0 4712.5 4737.5 4700.0 4725.0 4750.0
## [441] 4737.5 4950.0 5175.0 5125.0 5112.5 5100.0 5100.0 5100.0 5275.0 5200.0
## [451] 5037.5 5087.5 5075.0 5125.0 5075.0 5075.0 5050.0 5212.5 5125.0 5125.0
## [461] 5000.0 4950.0 5087.5 5050.0 5062.5 5100.0 5112.5 5087.5 5062.5 5162.5
## [471] 5262.5 5200.0 5262.5 5437.5 5450.0 5187.5 5025.0 4962.5 4975.0 4950.0
## [481] 4975.0 4950.0 5050.0 5000.0 5025.0 5000.0 4975.0 4962.5 5025.0 4975.0
## [491] 4987.5 4987.5 4962.5 4937.5 4975.0 5012.5 4912.5 4900.0 4862.5 4637.5
## [501] 4475.0 4600.0 4587.5 4650.0 4875.0 4775.0 4875.0 4987.5 4950.0 4850.0
## [511] 4912.5 5012.5 4975.0 4975.0 4850.0 4862.5 4962.5 4937.5 5087.5 5100.0
## [521] 5125.0 5150.0 5175.0 5187.5 5112.5 5087.5 5150.0 5137.5 5100.0 5000.0
## [531] 5037.5 5062.5 5075.0 5000.0 5050.0 5112.5 5025.0 5062.5 5087.5 5137.5
## [541] 5225.0 5187.5 5175.0 4962.5 5025.0 4925.0 5050.0 5000.0 5250.0 5450.0
## [551] 5100.0 5062.5 5175.0 5112.5 5162.5 5262.5 5200.0 5225.0 5175.0 5100.0
## [561] 5100.0 5150.0 5125.0 5225.0 5125.0 5175.0 5200.0 5200.0 5175.0 5250.0
## [571] 5225.0 5175.0 5175.0 5125.0 5050.0 5075.0 5100.0 5000.0 5050.0 4990.0
## [581] 5000.0 5075.0 5225.0 5125.0 5075.0 5175.0 5125.0 5150.0 5150.0 5050.0
## [591] 5075.0 5050.0 5025.0 5025.0 5125.0 5100.0 5100.0 5050.0 5125.0 5150.0
## [601] 5125.0 5100.0 5100.0 5075.0 5075.0 5125.0 5200.0 5350.0 5250.0 5275.0
## [611] 5300.0 5150.0 5175.0 5275.0 5300.0 5350.0 5400.0 5375.0 5350.0 5525.0
## [621] 5550.0 5500.0 5550.0 5575.0 5625.0 5700.0 5725.0 5650.0 5700.0 5800.0
## [631] 5775.0 5875.0 5900.0 5900.0 5975.0 5925.0 5950.0 5800.0 5800.0 5775.0
## [641] 5825.0 5950.0 5850.0 5950.0 5900.0 6000.0 5950.0 5975.0 6025.0 6075.0
## [651] 6100.0 6100.0 6050.0 5875.0 5900.0 5925.0 5875.0 5850.0 5825.0 5925.0
## [661] 5900.0 6000.0 6075.0 6000.0 6000.0 6000.0 5925.0 6000.0 6025.0 6050.0
## [671] 6075.0 6125.0 6125.0 6025.0 5900.0 6000.0 6050.0 6075.0 6075.0 6025.0
## [681] 6000.0 5850.0 5725.0 5750.0 5675.0 5750.0 5850.0 5700.0 5700.0 5725.0
## [691] 5675.0 5650.0 5900.0 5825.0 5925.0 5875.0 5850.0 5875.0 5775.0 5825.0
## [701] 5825.0 5925.0 5925.0 5900.0 5875.0 5875.0 5875.0 5900.0 5875.0 5900.0
## [711] 5900.0 5850.0 5850.0 5900.0 6000.0 5975.0 5800.0 5750.0 5700.0 5775.0
## [721] 5800.0 5725.0 5950.0 5900.0 5925.0 5975.0 5925.0 5975.0 5975.0 6000.0
## [731] 6125.0 6050.0
##
## $seasonal
## Time Series:
## Start = c(2021, 4)
## End = c(2023, 5)
## Frequency = 365
## [1] 0.8962089 0.8803172 0.8673840 0.8721673 0.8711820 0.8643437 0.8459818
## [8] 0.8450563 0.8325031 0.8519111 0.8597067 0.9137738 0.9128955 0.9062538
## [15] 0.8967057 0.9217638 0.9323037 0.9256479 0.9505583 0.9151214 0.9371175
## [22] 0.9447694 0.9437367 0.9427507 0.9532270 0.9665108 0.9797676 0.9702429
## [29] 0.9636476 0.9599121 0.9675555 0.9751395 0.9629735 0.9649716 0.9753877
## [36] 0.9744181 0.9678973 0.9585392 0.9632219 0.9736130 0.9951386 1.0026033
## [43] 0.9932269 1.0034976 0.9885983 0.9933121 1.0008208 1.0138790 1.0240917
## [50] 1.0538647 1.0362152 1.0407897 1.0119931 1.0249617 1.0212636 1.0286314
## [57] 1.0193578 1.0184269 1.0229654 1.0329800 1.0263180 1.0197172 1.0379079
## [64] 1.0203081 1.0138035 1.0182829 1.0227302 1.0325846 1.0177630 1.0166158
## [71] 1.0291354 1.0334624 1.0240841 1.0283068 1.0325658 1.0286496 1.0735396
## [78] 1.1209247 1.1086996 1.1046319 1.1006151 1.0992534 1.0979113 1.1342419
## [85] 1.1167616 1.0804830 1.0898174 1.0857088 1.0949963 1.0829138 1.0816524
## [92] 1.0750875 1.1084410 1.0885848 1.0872830 1.0595894 1.0477572 1.0756251
## [99] 1.0664102 1.0677942 1.0744341 1.0757666 1.0691298 1.0624946 1.0820615
## [106] 1.1016009 1.0872349 1.0989600 1.1341048 1.1353689 1.0794393 1.0444303
## [113] 1.0302328 1.0316427 1.0252747 1.0292218 1.0228643 1.0422402 1.0306561
## [120] 1.0346145 1.0282810 1.0219260 1.0181435 1.0297392 1.0182379 1.0195483
## [127] 1.0183534 1.0121194 1.0058430 1.0122278 1.0185897 0.9970291 0.9932795
## [134] 0.9844981 0.9379051 0.9040915 0.9283462 0.9248548 0.9365075 0.9808989
## [141] 0.9599480 0.9791923 1.0009322 0.9925506 0.9718694 0.9834519 1.0024918
## [148] 0.9939396 0.9928828 0.9669013 0.9683581 0.9872863 0.9813060 1.0101103
## [155] 1.0114946 1.0153662 1.0192226 1.0231541 1.0246367 1.0089322 1.0030188
## [162] 1.0143648 1.0109036 1.0025754 0.9820412 0.9885322 0.9924674 0.9938732
## [169] 0.9781978 0.9871035 0.9984816 0.9805173 0.9869608 0.9909449 0.9998003
## [176] 1.0158093 1.0075762 1.0041762 0.9619603 0.9730643 0.9526789 0.9757297
## [183] 0.9279207 0.9476013 0.9931851 0.9295872 0.9545269 0.9686331 0.9973196
## [190] 0.9971907 1.0115021 1.0258197 1.0363984 1.0325822 1.0358122 1.0392047
## [197] 1.0353498 1.0387203 1.0276149 1.0345288 1.0306177 1.0121085 1.0331464
## [204] 1.0325433 1.0102475 1.0239196 1.0304230 1.0189278 1.0038240 0.9850829
## [211] 1.0236694 1.0336036 1.0149426 1.0069837 1.0310686 1.0301590 1.0221682
## [218] 1.0319434 1.0452361 1.0159203 1.0150380 1.0424540 1.0061821 1.0159200
## [225] 0.9902451 0.9999602 1.0166495 1.0086495 1.0112152 1.0278563 1.0058208
## [232] 1.0329467 1.0107335 0.9991347 1.0051579 1.0182550 1.0137415 0.9987892
## [239] 0.9872316 0.9966262 0.9816433 0.9840411 0.9794308 0.9713156 0.9771165
## [246] 0.9828478 0.9713563 0.9737395 0.9898765 0.9681355 0.9669903 0.9693309
## [253] 0.9682418 0.9671005 0.9796450 0.9750533 0.9806964 0.9828667 0.9884492
## [260] 0.9564286 0.9752532 0.9906885 0.9858151 0.9775918 1.0099061 1.0184687
## [267] 1.0302577 1.0050707 1.0035865 1.0020235 1.0004839 1.0022254 1.0173498
## [274] 1.0224267 1.0274221 1.0256310 1.0339183 1.0454589 1.0372945 1.0357327
## [281] 1.0340913 1.0325578 1.0343404 1.0328669 1.0084232 1.0069545 0.9989341
## [288] 0.9941793 0.9958946 0.9814272 0.9799385 0.9880685 0.9929113 0.9882094
## [295] 0.9997599 1.0015993 1.0227757 1.0213756 1.0167359 0.9800719 0.9817530
## [302] 0.9930687 1.0107544 0.9997776 1.0015586 1.0064833 0.9986424 1.0003476
## [309] 0.9957691 0.9880039 0.9865910 0.9663051 0.9680284 0.9666416 0.9621912
## [316] 0.9639795 0.9658458 0.9585316 0.9513152 0.9439760 0.9771240 1.0319366
## [323] 1.0274234 1.0198748 1.0339378 1.0170054 1.1051191 1.0266736 0.9976232
## [330] 0.9838990 0.9671682 0.9566567 0.9615892 0.9664931 0.9652349 0.9761330
## [337] 0.9595047 0.9642319 0.9536948 0.9826393 0.9932713 1.0280439 0.9903520
## [344] 0.9890135 0.9815831 0.9982523 1.0089197 1.0106541 0.9794286 0.9692057
## [351] 0.9799460 0.9906595 0.9983170 0.9612567 0.9808287 0.9795558 0.9663809
## [358] 0.9650436 0.9813752 0.9711497 0.9580127 0.9361796 0.9319833 0.8926374
## [365] 0.8679976 0.8962089 0.8803172 0.8673840 0.8721673 0.8711820 0.8643437
## [372] 0.8459818 0.8450563 0.8325031 0.8519111 0.8597067 0.9137738 0.9128955
## [379] 0.9062538 0.8967057 0.9217638 0.9323037 0.9256479 0.9505583 0.9151214
## [386] 0.9371175 0.9447694 0.9437367 0.9427507 0.9532270 0.9665108 0.9797676
## [393] 0.9702429 0.9636476 0.9599121 0.9675555 0.9751395 0.9629735 0.9649716
## [400] 0.9753877 0.9744181 0.9678973 0.9585392 0.9632219 0.9736130 0.9951386
## [407] 1.0026033 0.9932269 1.0034976 0.9885983 0.9933121 1.0008208 1.0138790
## [414] 1.0240917 1.0538647 1.0362152 1.0407897 1.0119931 1.0249617 1.0212636
## [421] 1.0286314 1.0193578 1.0184269 1.0229654 1.0329800 1.0263180 1.0197172
## [428] 1.0379079 1.0203081 1.0138035 1.0182829 1.0227302 1.0325846 1.0177630
## [435] 1.0166158 1.0291354 1.0334624 1.0240841 1.0283068 1.0325658 1.0286496
## [442] 1.0735396 1.1209247 1.1086996 1.1046319 1.1006151 1.0992534 1.0979113
## [449] 1.1342419 1.1167616 1.0804830 1.0898174 1.0857088 1.0949963 1.0829138
## [456] 1.0816524 1.0750875 1.1084410 1.0885848 1.0872830 1.0595894 1.0477572
## [463] 1.0756251 1.0664102 1.0677942 1.0744341 1.0757666 1.0691298 1.0624946
## [470] 1.0820615 1.1016009 1.0872349 1.0989600 1.1341048 1.1353689 1.0794393
## [477] 1.0444303 1.0302328 1.0316427 1.0252747 1.0292218 1.0228643 1.0422402
## [484] 1.0306561 1.0346145 1.0282810 1.0219260 1.0181435 1.0297392 1.0182379
## [491] 1.0195483 1.0183534 1.0121194 1.0058430 1.0122278 1.0185897 0.9970291
## [498] 0.9932795 0.9844981 0.9379051 0.9040915 0.9283462 0.9248548 0.9365075
## [505] 0.9808989 0.9599480 0.9791923 1.0009322 0.9925506 0.9718694 0.9834519
## [512] 1.0024918 0.9939396 0.9928828 0.9669013 0.9683581 0.9872863 0.9813060
## [519] 1.0101103 1.0114946 1.0153662 1.0192226 1.0231541 1.0246367 1.0089322
## [526] 1.0030188 1.0143648 1.0109036 1.0025754 0.9820412 0.9885322 0.9924674
## [533] 0.9938732 0.9781978 0.9871035 0.9984816 0.9805173 0.9869608 0.9909449
## [540] 0.9998003 1.0158093 1.0075762 1.0041762 0.9619603 0.9730643 0.9526789
## [547] 0.9757297 0.9279207 0.9476013 0.9931851 0.9295872 0.9545269 0.9686331
## [554] 0.9973196 0.9971907 1.0115021 1.0258197 1.0363984 1.0325822 1.0358122
## [561] 1.0392047 1.0353498 1.0387203 1.0276149 1.0345288 1.0306177 1.0121085
## [568] 1.0331464 1.0325433 1.0102475 1.0239196 1.0304230 1.0189278 1.0038240
## [575] 0.9850829 1.0236694 1.0336036 1.0149426 1.0069837 1.0310686 1.0301590
## [582] 1.0221682 1.0319434 1.0452361 1.0159203 1.0150380 1.0424540 1.0061821
## [589] 1.0159200 0.9902451 0.9999602 1.0166495 1.0086495 1.0112152 1.0278563
## [596] 1.0058208 1.0329467 1.0107335 0.9991347 1.0051579 1.0182550 1.0137415
## [603] 0.9987892 0.9872316 0.9966262 0.9816433 0.9840411 0.9794308 0.9713156
## [610] 0.9771165 0.9828478 0.9713563 0.9737395 0.9898765 0.9681355 0.9669903
## [617] 0.9693309 0.9682418 0.9671005 0.9796450 0.9750533 0.9806964 0.9828667
## [624] 0.9884492 0.9564286 0.9752532 0.9906885 0.9858151 0.9775918 1.0099061
## [631] 1.0184687 1.0302577 1.0050707 1.0035865 1.0020235 1.0004839 1.0022254
## [638] 1.0173498 1.0224267 1.0274221 1.0256310 1.0339183 1.0454589 1.0372945
## [645] 1.0357327 1.0340913 1.0325578 1.0343404 1.0328669 1.0084232 1.0069545
## [652] 0.9989341 0.9941793 0.9958946 0.9814272 0.9799385 0.9880685 0.9929113
## [659] 0.9882094 0.9997599 1.0015993 1.0227757 1.0213756 1.0167359 0.9800719
## [666] 0.9817530 0.9930687 1.0107544 0.9997776 1.0015586 1.0064833 0.9986424
## [673] 1.0003476 0.9957691 0.9880039 0.9865910 0.9663051 0.9680284 0.9666416
## [680] 0.9621912 0.9639795 0.9658458 0.9585316 0.9513152 0.9439760 0.9771240
## [687] 1.0319366 1.0274234 1.0198748 1.0339378 1.0170054 1.1051191 1.0266736
## [694] 0.9976232 0.9838990 0.9671682 0.9566567 0.9615892 0.9664931 0.9652349
## [701] 0.9761330 0.9595047 0.9642319 0.9536948 0.9826393 0.9932713 1.0280439
## [708] 0.9903520 0.9890135 0.9815831 0.9982523 1.0089197 1.0106541 0.9794286
## [715] 0.9692057 0.9799460 0.9906595 0.9983170 0.9612567 0.9808287 0.9795558
## [722] 0.9663809 0.9650436 0.9813752 0.9711497 0.9580127 0.9361796 0.9319833
## [729] 0.8926374 0.8679976 0.8962089 0.8803172
##
## $trend
## Time Series:
## Start = c(2021, 4)
## End = c(2023, 5)
## Frequency = 365
## [1] NA NA NA NA NA NA NA NA
## [9] NA NA NA NA NA NA NA NA
## [17] NA NA NA NA NA NA NA NA
## [25] NA NA NA NA NA NA NA NA
## [33] NA NA NA NA NA NA NA NA
## [41] NA NA NA NA NA NA NA NA
## [49] NA NA NA NA NA NA NA NA
## [57] NA NA NA NA NA NA NA NA
## [65] NA NA NA NA NA NA NA NA
## [73] NA NA NA NA NA NA NA NA
## [81] NA NA NA NA NA NA NA NA
## [89] NA NA NA NA NA NA NA NA
## [97] NA NA NA NA NA NA NA NA
## [105] NA NA NA NA NA NA NA NA
## [113] NA NA NA NA NA NA NA NA
## [121] NA NA NA NA NA NA NA NA
## [129] NA NA NA NA NA NA NA NA
## [137] NA NA NA NA NA NA NA NA
## [145] NA NA NA NA NA NA NA NA
## [153] NA NA NA NA NA NA NA NA
## [161] NA NA NA NA NA NA NA NA
## [169] NA NA NA NA NA NA NA NA
## [177] NA NA NA NA NA NA 3438.767 3440.342
## [185] 3441.849 3443.219 3444.589 3445.856 3446.644 3447.089 3447.568 3448.014
## [193] 3448.870 3449.555 3450.822 3451.541 3452.363 3453.151 3454.110 3455.103
## [201] 3456.130 3457.808 3459.726 3461.747 3464.178 3466.575 3468.870 3471.336
## [209] 3473.938 3476.815 3479.589 3482.295 3484.966 3487.774 3490.856 3493.938
## [217] 3496.884 3499.966 3503.116 3506.130 3509.178 3512.466 3515.308 3518.390
## [225] 3521.575 3524.726 3528.116 3531.404 3534.760 3538.116 3541.336 3544.795
## [233] 3548.767 3552.568 3556.062 3559.247 3562.808 3566.267 3570.171 3574.007
## [241] 3577.808 3581.747 3585.890 3590.205 3594.384 3598.767 3602.877 3606.849
## [249] 3610.959 3614.863 3619.144 3623.253 3627.329 3631.610 3635.959 3640.308
## [257] 3644.760 3649.384 3653.973 3659.110 3665.103 3670.856 3676.370 3681.815
## [265] 3687.329 3693.014 3699.110 3705.068 3710.548 3716.336 3722.055 3728.014
## [273] 3733.801 3739.623 3745.685 3752.226 3758.288 3764.452 3770.068 3775.753
## [281] 3781.747 3787.363 3792.877 3798.288 3803.904 3809.452 3815.103 3820.822
## [289] 3826.747 3832.397 3838.219 3844.452 3850.788 3856.507 3861.781 3867.123
## [297] 3872.295 3877.603 3883.048 3888.527 3894.555 3900.342 3906.027 3911.541
## [305] 3917.021 3922.603 3928.459 3934.212 3939.795 3945.548 3951.199 3956.815
## [313] 3962.637 3968.322 3973.733 3979.281 3984.486 3988.904 3992.979 3997.637
## [321] 4002.226 4006.884 4012.363 4017.637 4023.219 4028.973 4034.555 4039.555
## [329] 4044.829 4050.616 4056.301 4061.815 4066.884 4072.021 4077.329 4082.842
## [337] 4088.699 4094.486 4100.548 4106.507 4112.705 4118.973 4124.829 4130.411
## [345] 4136.301 4142.089 4147.671 4152.877 4158.116 4163.425 4168.630 4173.836
## [353] 4179.247 4184.897 4190.274 4195.719 4201.370 4207.192 4213.322 4219.212
## [361] 4225.068 4230.479 4236.164 4241.507 4247.123 4252.397 4258.425 4264.486
## [369] 4269.658 4274.486 4279.486 4284.041 4288.733 4293.562 4298.082 4302.568
## [377] 4306.952 4311.096 4315.205 4319.486 4323.664 4328.219 4332.432 4336.815
## [385] 4341.438 4345.856 4350.205 4354.966 4359.521 4363.870 4368.322 4372.774
## [393] 4377.192 4381.301 4385.377 4389.349 4393.527 4397.301 4401.103 4405.178
## [401] 4409.562 4413.534 4417.644 4422.027 4426.000 4430.384 4434.664 4438.911
## [409] 4443.123 4447.096 4451.068 4455.007 4459.048 4463.226 4467.130 4471.103
## [417] 4475.384 4479.664 4483.740 4487.781 4491.959 4496.171 4500.281 4504.664
## [425] 4509.219 4514.219 4519.014 4523.808 4528.603 4533.089 4537.610 4542.233
## [433] 4547.130 4552.164 4557.301 4562.370 4567.370 4572.712 4578.158 4583.397
## [441] 4588.740 4594.082 4599.870 4605.658 4611.342 4616.856 4622.575 4628.226
## [449] 4633.705 4639.322 4645.247 4651.171 4657.301 4663.295 4669.322 4674.767
## [457] 4680.144 4685.384 4690.760 4696.377 4701.582 4707.130 4712.541 4718.226
## [465] 4723.774 4729.356 4735.075 4741.171 4747.336 4753.568 4759.699 4765.315
## [473] 4771.137 4777.027 4782.678 4788.192 4793.671 4799.288 4804.801 4810.349
## [481] 4816.103 4821.685 4827.644 4833.568 4839.151 4844.733 4850.486 4856.274
## [489] 4862.062 4868.055 4874.014 4879.733 4885.178 4890.897 4896.959 4903.055
## [497] 4909.151 4915.144 4921.034 4926.479 4931.651 4936.959 4942.130 4947.130
## [505] 4951.788 4956.068 4960.418 4964.664 4968.945 4972.164 4976.925 4981.788
## [513] 4987.062 4992.370 4997.712 5003.055 5008.055 5013.192 5018.192 5023.637
## [521] 5029.014 5034.425 5039.425 5044.288 5048.740 5053.671 5058.534 5063.534
## [529] 5068.329 5072.849 5077.336 5082.301 5087.644 5092.781 5097.301 5101.582
## [537] 5106.137 5110.658 5115.247 5119.767 5124.904 5129.699 5134.664 5139.904
## [545] 5145.247 5150.760 5156.719 5163.021 5169.322 5175.589 NA NA
## [553] NA NA NA NA NA NA NA NA
## [561] NA NA NA NA NA NA NA NA
## [569] NA NA NA NA NA NA NA NA
## [577] NA NA NA NA NA NA NA NA
## [585] NA NA NA NA NA NA NA NA
## [593] NA NA NA NA NA NA NA NA
## [601] NA NA NA NA NA NA NA NA
## [609] NA NA NA NA NA NA NA NA
## [617] NA NA NA NA NA NA NA NA
## [625] NA NA NA NA NA NA NA NA
## [633] NA NA NA NA NA NA NA NA
## [641] NA NA NA NA NA NA NA NA
## [649] NA NA NA NA NA NA NA NA
## [657] NA NA NA NA NA NA NA NA
## [665] NA NA NA NA NA NA NA NA
## [673] NA NA NA NA NA NA NA NA
## [681] NA NA NA NA NA NA NA NA
## [689] NA NA NA NA NA NA NA NA
## [697] NA NA NA NA NA NA NA NA
## [705] NA NA NA NA NA NA NA NA
## [713] NA NA NA NA NA NA NA NA
## [721] NA NA NA NA NA NA NA NA
## [729] NA NA NA NA
##
## $random
## Time Series:
## Start = c(2021, 4)
## End = c(2023, 5)
## Frequency = 365
## [1] NA NA NA NA NA NA NA
## [8] NA NA NA NA NA NA NA
## [15] NA NA NA NA NA NA NA
## [22] NA NA NA NA NA NA NA
## [29] NA NA NA NA NA NA NA
## [36] NA NA NA NA NA NA NA
## [43] NA NA NA NA NA NA NA
## [50] NA NA NA NA NA NA NA
## [57] NA NA NA NA NA NA NA
## [64] NA NA NA NA NA NA NA
## [71] NA NA NA NA NA NA NA
## [78] NA NA NA NA NA NA NA
## [85] NA NA NA NA NA NA NA
## [92] NA NA NA NA NA NA NA
## [99] NA NA NA NA NA NA NA
## [106] NA NA NA NA NA NA NA
## [113] NA NA NA NA NA NA NA
## [120] NA NA NA NA NA NA NA
## [127] NA NA NA NA NA NA NA
## [134] NA NA NA NA NA NA NA
## [141] NA NA NA NA NA NA NA
## [148] NA NA NA NA NA NA NA
## [155] NA NA NA NA NA NA NA
## [162] NA NA NA NA NA NA NA
## [169] NA NA NA NA NA NA NA
## [176] NA NA NA NA NA NA NA
## [183] 0.9636770 0.9355618 0.9470823 1.0036640 1.0036640 1.0036640 1.0036640
## [190] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [197] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [204] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [211] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [218] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [225] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [232] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [239] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [246] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [253] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [260] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [267] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [274] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [281] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [288] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [295] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [302] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [309] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [316] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [323] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [330] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [337] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [344] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [351] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [358] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [365] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [372] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [379] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [386] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [393] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [400] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [407] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [414] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [421] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [428] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [435] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [442] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [449] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [456] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [463] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [470] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [477] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [484] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [491] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [498] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [505] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [512] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [519] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [526] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [533] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [540] 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640 1.0036640
## [547] 1.0036640 1.0436510 1.0717662 1.0602457 NA NA NA
## [554] NA NA NA NA NA NA NA
## [561] NA NA NA NA NA NA NA
## [568] NA NA NA NA NA NA NA
## [575] NA NA NA NA NA NA NA
## [582] NA NA NA NA NA NA NA
## [589] NA NA NA NA NA NA NA
## [596] NA NA NA NA NA NA NA
## [603] NA NA NA NA NA NA NA
## [610] NA NA NA NA NA NA NA
## [617] NA NA NA NA NA NA NA
## [624] NA NA NA NA NA NA NA
## [631] NA NA NA NA NA NA NA
## [638] NA NA NA NA NA NA NA
## [645] NA NA NA NA NA NA NA
## [652] NA NA NA NA NA NA NA
## [659] NA NA NA NA NA NA NA
## [666] NA NA NA NA NA NA NA
## [673] NA NA NA NA NA NA NA
## [680] NA NA NA NA NA NA NA
## [687] NA NA NA NA NA NA NA
## [694] NA NA NA NA NA NA NA
## [701] NA NA NA NA NA NA NA
## [708] NA NA NA NA NA NA NA
## [715] NA NA NA NA NA NA NA
## [722] NA NA NA NA NA NA NA
## [729] NA NA NA NA
##
## $figure
## [1] 0.8962089 0.8803172 0.8673840 0.8721673 0.8711820 0.8643437 0.8459818
## [8] 0.8450563 0.8325031 0.8519111 0.8597067 0.9137738 0.9128955 0.9062538
## [15] 0.8967057 0.9217638 0.9323037 0.9256479 0.9505583 0.9151214 0.9371175
## [22] 0.9447694 0.9437367 0.9427507 0.9532270 0.9665108 0.9797676 0.9702429
## [29] 0.9636476 0.9599121 0.9675555 0.9751395 0.9629735 0.9649716 0.9753877
## [36] 0.9744181 0.9678973 0.9585392 0.9632219 0.9736130 0.9951386 1.0026033
## [43] 0.9932269 1.0034976 0.9885983 0.9933121 1.0008208 1.0138790 1.0240917
## [50] 1.0538647 1.0362152 1.0407897 1.0119931 1.0249617 1.0212636 1.0286314
## [57] 1.0193578 1.0184269 1.0229654 1.0329800 1.0263180 1.0197172 1.0379079
## [64] 1.0203081 1.0138035 1.0182829 1.0227302 1.0325846 1.0177630 1.0166158
## [71] 1.0291354 1.0334624 1.0240841 1.0283068 1.0325658 1.0286496 1.0735396
## [78] 1.1209247 1.1086996 1.1046319 1.1006151 1.0992534 1.0979113 1.1342419
## [85] 1.1167616 1.0804830 1.0898174 1.0857088 1.0949963 1.0829138 1.0816524
## [92] 1.0750875 1.1084410 1.0885848 1.0872830 1.0595894 1.0477572 1.0756251
## [99] 1.0664102 1.0677942 1.0744341 1.0757666 1.0691298 1.0624946 1.0820615
## [106] 1.1016009 1.0872349 1.0989600 1.1341048 1.1353689 1.0794393 1.0444303
## [113] 1.0302328 1.0316427 1.0252747 1.0292218 1.0228643 1.0422402 1.0306561
## [120] 1.0346145 1.0282810 1.0219260 1.0181435 1.0297392 1.0182379 1.0195483
## [127] 1.0183534 1.0121194 1.0058430 1.0122278 1.0185897 0.9970291 0.9932795
## [134] 0.9844981 0.9379051 0.9040915 0.9283462 0.9248548 0.9365075 0.9808989
## [141] 0.9599480 0.9791923 1.0009322 0.9925506 0.9718694 0.9834519 1.0024918
## [148] 0.9939396 0.9928828 0.9669013 0.9683581 0.9872863 0.9813060 1.0101103
## [155] 1.0114946 1.0153662 1.0192226 1.0231541 1.0246367 1.0089322 1.0030188
## [162] 1.0143648 1.0109036 1.0025754 0.9820412 0.9885322 0.9924674 0.9938732
## [169] 0.9781978 0.9871035 0.9984816 0.9805173 0.9869608 0.9909449 0.9998003
## [176] 1.0158093 1.0075762 1.0041762 0.9619603 0.9730643 0.9526789 0.9757297
## [183] 0.9279207 0.9476013 0.9931851 0.9295872 0.9545269 0.9686331 0.9973196
## [190] 0.9971907 1.0115021 1.0258197 1.0363984 1.0325822 1.0358122 1.0392047
## [197] 1.0353498 1.0387203 1.0276149 1.0345288 1.0306177 1.0121085 1.0331464
## [204] 1.0325433 1.0102475 1.0239196 1.0304230 1.0189278 1.0038240 0.9850829
## [211] 1.0236694 1.0336036 1.0149426 1.0069837 1.0310686 1.0301590 1.0221682
## [218] 1.0319434 1.0452361 1.0159203 1.0150380 1.0424540 1.0061821 1.0159200
## [225] 0.9902451 0.9999602 1.0166495 1.0086495 1.0112152 1.0278563 1.0058208
## [232] 1.0329467 1.0107335 0.9991347 1.0051579 1.0182550 1.0137415 0.9987892
## [239] 0.9872316 0.9966262 0.9816433 0.9840411 0.9794308 0.9713156 0.9771165
## [246] 0.9828478 0.9713563 0.9737395 0.9898765 0.9681355 0.9669903 0.9693309
## [253] 0.9682418 0.9671005 0.9796450 0.9750533 0.9806964 0.9828667 0.9884492
## [260] 0.9564286 0.9752532 0.9906885 0.9858151 0.9775918 1.0099061 1.0184687
## [267] 1.0302577 1.0050707 1.0035865 1.0020235 1.0004839 1.0022254 1.0173498
## [274] 1.0224267 1.0274221 1.0256310 1.0339183 1.0454589 1.0372945 1.0357327
## [281] 1.0340913 1.0325578 1.0343404 1.0328669 1.0084232 1.0069545 0.9989341
## [288] 0.9941793 0.9958946 0.9814272 0.9799385 0.9880685 0.9929113 0.9882094
## [295] 0.9997599 1.0015993 1.0227757 1.0213756 1.0167359 0.9800719 0.9817530
## [302] 0.9930687 1.0107544 0.9997776 1.0015586 1.0064833 0.9986424 1.0003476
## [309] 0.9957691 0.9880039 0.9865910 0.9663051 0.9680284 0.9666416 0.9621912
## [316] 0.9639795 0.9658458 0.9585316 0.9513152 0.9439760 0.9771240 1.0319366
## [323] 1.0274234 1.0198748 1.0339378 1.0170054 1.1051191 1.0266736 0.9976232
## [330] 0.9838990 0.9671682 0.9566567 0.9615892 0.9664931 0.9652349 0.9761330
## [337] 0.9595047 0.9642319 0.9536948 0.9826393 0.9932713 1.0280439 0.9903520
## [344] 0.9890135 0.9815831 0.9982523 1.0089197 1.0106541 0.9794286 0.9692057
## [351] 0.9799460 0.9906595 0.9983170 0.9612567 0.9808287 0.9795558 0.9663809
## [358] 0.9650436 0.9813752 0.9711497 0.9580127 0.9361796 0.9319833 0.8926374
## [365] 0.8679976
##
## $type
## [1] "multiplicative"
##
## attr(,"class")
## [1] "decomposed.ts"
Menghitung dan Memplot ACF dan PACF
acf(residuals, main = "Autocorrelation Function (ACF)")
pacf(residuals, main="Partial Autocorrelation Function (PACF)")
ARIMA
fit <- auto.arima(data_ts)
fit
## Series: data_ts
## ARIMA(0,1,2) with drift
##
## Coefficients:
## ma1 ma2 drift
## -0.1224 -0.0832 3.8382
## s.e. 0.0370 0.0389 2.0883
##
## sigma^2 = 5066: log likelihood = -4153.61
## AIC=8315.23 AICc=8315.28 BIC=8333.61
summary(fit)
## Series: data_ts
## ARIMA(0,1,2) with drift
##
## Coefficients:
## ma1 ma2 drift
## -0.1224 -0.0832 3.8382
## s.e. 0.0370 0.0389 2.0883
##
## sigma^2 = 5066: log likelihood = -4153.61
## AIC=8315.23 AICc=8315.28 BIC=8333.61
##
## Training set error measures:
## ME RMSE MAE MPE MAPE MASE
## Training set 0.0003535128 70.98417 51.33651 -0.02816251 1.222019 0.02971969
## ACF1
## Training set 0.001654371
# Melakukan peramalan satu periode ke depan
forecasted_values <- forecast(fit, h=1)
print(forecasted_values)
## Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
## 2023.0137 6051.068 5959.849 6142.288 5911.56 6190.576
# Menampilkan hasil peramalan dan plot hasil peramalan
plot(forecasted_values)
