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NN.AS Stock Data

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id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 11-02-25 11:00 63 50 99.0655 56.8182 49.6714 44.64
$data['id'] 10-02-25 11:00 65 50 100 61.3636 49.5904 44.72
$data['id'] 07-02-25 11:00 58 50 81.6326 52.0833 49.3539 44.34
$data['id'] 06-02-25 11:00 54 50 66.4723 52.0833 48.1668 43.98
$data['id'] 05-02-25 11:00 60 50 40.7514 52.2727 98.748 42.82
$data['id'] 04-02-25 11:00 51 50 53.4682 52.2727 50.7122 43.12
$data['id'] 03-02-25 11:00 60 66.6667 68.4971 56.8182 50.2522 43.52
$data['id'] 31-01-25 11:00 59 66.6667 62.556 61.3636 49.2204 44.32
$data['id'] 30-01-25 11:00 63 66.6667 69.731 67.3913 48.455 44.34
$data['id'] 29-01-25 11:00 60 66.6667 61.8834 65.9091 47.0771 44.44
$data['id'] 28-01-25 11:00 52 50 50 62.5 48.0845 43.69
$data['id'] 27-01-25 11:00 49 50 43.2736 59.5238 45.9871 43.26
$data['id'] 24-01-25 11:00 48 50 36.3229 64.2857 45.3415 42.91
$data['id'] 23-01-25 11:00 48 50 36.0987 64.2857 45.3244 43.02
$data['id'] 22-01-25 11:00 54 50 50.2242 72.5 43.7767 43.24
$data['id'] 21-01-25 11:00 52 50 44.6188 71.0526 43.9582 43.47
$data['id'] 20-01-25 11:00 58 66.6667 48.7859 76.3158 43.9751 43.4
$data['id'] 17-01-25 11:00 50 50 43.7086 64.2857 43.144 43.65
$data['id'] 16-01-25 11:00 38 33.3333 22.2958 57.5 41.9268 42.78
$data['id'] 15-01-25 11:00 31 33.3333 0 52.5 38.4531 42.2
$data['id'] 14-01-25 11:00 32 33.3333 5.29797 55.2632 36.9948 41.74
$data['id'] 13-01-25 11:00 28 33.3333 0 44.7368 37.3331 41.35
$data['id'] 10-01-25 11:00 29 33.3333 1.00602 45.2381 37.8083 41.4
$data['id'] 09-01-25 11:00 30 33.3333 4.82893 45.2381 37.6349 41.64
$data['id'] 08-01-25 11:00 31 33.3333 2.81689 47.5 44.1507 41.77
$data['id'] 07-01-25 11:00 35 33.3333 31.992 50 26.5625 42.91
$data['id'] 06-01-25 11:00 30 33.3333 21.3279 39.4737 27.1751 42.9
$data['id'] 03-01-25 11:00 35 33.3333 27.2189 42.5 40.3276 42.55
$data['id'] 02-01-25 11:00 31 33.3333 17.3569 40.4762 35.7738 42.39
$data['id'] 31-12-24 11:00 29 33.3333 11.1328 37.5 34.8867 42.07
$data['id'] 30-12-24 11:00 25 16.6667 10.7422 39.4737 36.2968 41.78
$data['id'] 24-12-24 11:00 25 33.3333 5.27345 29.5455 35.1069 41.61
$data['id'] 23-12-24 11:00 16 0 0.976548 26.1905 38.905 41.46
$data['id'] 20-12-24 11:00 17 0 0 28.2609 41.0692 41.33
$data['id'] 19-12-24 11:00 16 0 0 28.2609 38.8406 41.49
$data['id'] 18-12-24 11:00 16 0 0 28.2609 39.1628 41.74
$data['id'] 17-12-24 11:00 21 16.6667 0 29.5455 38.6258 41.87
$data['id'] 16-12-24 11:00 22 16.6667 0 30.9524 43.2567 42.19
$data['id'] 13-12-24 11:00 27 16.6667 2.02536 45.6522 46.4164 42.49
$data['id'] 12-12-24 11:00 27 16.6667 4.31468 41.3043 46.8512 42.56
$data['id'] 11-12-24 11:00 29 16.6667 13.198 41.3043 48.2426 42.97
$data['id'] 10-12-24 11:00 28 16.6667 9.39084 40.4762 48.5343 42.72
$data['id'] 09-12-24 11:00 28 16.6667 9.89847 40.4762 48.5352 42.8
$data['id'] 06-12-24 11:00 43 16.6667 15.4822 41.3043 99.9696 43.1
$data['id'] 05-12-24 11:00 20 0 0 32.6087 47.6722 42.76
$data['id'] 04-12-24 11:00 21 0 0 36.9565 47.7431 42.49
$data['id'] 03-12-24 11:00 25 16.6667 0 38.6364 46.1715 42.64
$data['id'] 02-12-24 11:00 26 16.6667 5.76278 40.4762 42.4736 43.48
$data['id'] 29-11-24 11:00 24 16.6667 0 39.5833 41.159 43.9
$data['id'] 28-11-24 11:00 25 16.6667 2.71193 39.5833 43.8106 43.59
$data['id'] 27-11-24 11:00 30 16.6667 16.2712 45.6522 43.6915 43.66
$data['id'] 26-11-24 11:00 45 50 42.7119 45.4545 42.1389 43.85
$data['id'] 25-11-24 11:00 40 33.3333 40.678 47.7273 42.1792 44.76
$data['id'] 22-11-24 11:00 36 33.3333 26.7797 41.3043 43.3643 44.62
$data['id'] 21-11-24 11:00 37 33.3333 33.5594 39.5833 42.837 44.87
$data['id'] 20-11-24 11:00 48 50 54.2374 45.6522 44.1502 44.82
$data['id'] 19-11-24 11:00 45 50 43.7288 43.1818 43.31 45.01
$data['id'] 18-11-24 11:00 51 50 73.8983 43.1818 37.4507 45.79
$data['id'] 15-11-24 11:00 40 33.3333 50.5085 43.75 35.1196 45.23
$data['id'] 14-11-24 11:00 35 33.3333 34.2374 39.5833 33.561 44.84
$data['id'] 13-11-24 11:00 38 33.3333 42.7119 41.3043 35.3107 44.53
$data['id'] 12-11-24 11:00 46 50 60.678 43.1818 33.3715 44.81
$data['id'] 11-11-24 11:00 49 50 65.4237 47.7273 33.3753 45.57
$data['id'] 08-11-24 11:00 41 33.3333 50.5085 47.9167 33.1453 45.06
$data['id'] 07-11-24 11:00 53 50 76.9492 56.25 32.0994 45.34
$data['id'] 06-11-24 11:00 59 50 96.6102 58.6957 33.9423 45.6
$data['id'] 05-11-24 11:00 56 50 83.0508 56.8182 35.6924 45.93
$data['id'] 04-11-24 11:00 55 50 78.3051 56.8182 35.6629 46.05
$data['id'] 01-11-24 11:00 50 50 65.7981 52.0833 33.9896 45.96
$data['id'] 31-10-24 11:00 47 50 57.0033 47.9167 34.3064 45.2
$data['id'] 30-10-24 11:00 50 50 67.101 50 35.1576 45.19
$data['id'] 29-10-24 11:00 68 83.3333 100 56.8182 33.0591 45.94
$data['id'] 28-10-24 11:00 60 66.6667 89.2508 54.7619 32.9468 46.34
$data['id'] 25-10-24 11:00 60 66.6667 88.5994 54.3478 33.0405 46
$data['id'] 24-10-24 11:00 58 66.6667 85.342 50 33.3819 46.04
$data['id'] 23-10-24 11:00 58 66.6667 82.4104 52.2727 34.1062 45.82
$data['id'] 22-10-24 11:00 64 83.3333 87.9479 52.2727 33.5765 45.93
$data['id'] 21-10-24 11:00 68 83.3333 99.0228 59.5238 32.867 46.21
$data['id'] 18-10-24 11:00 59 50 100 56.8182 31.9885 46.42
$data['id'] 17-10-24 11:00 59 50 100 54.3478 32.1449 46.46
$data['id'] 16-10-24 11:00 57 50 100 47.7273 34.2689 46.2
$data['id'] 15-10-24 11:00 57 50 100 47.7273 34.2354 45.81
$data['id'] 14-10-24 11:00 54 50 90.099 45.2381 33.4735 45.48
$data['id'] 11-10-24 11:00 53 50 83.9228 45.6522 33.078 45.2
$data['id'] 10-10-24 11:00 49 50 64.7214 50 31.476 45.3
$data['id'] 09-10-24 11:00 41 50 43.7666 45.6522 27.4083 44.68
$data['id'] 08-10-24 11:00 36 50 31.5649 38.6364 27.3368 44.14
$data['id'] 07-10-24 11:00 38 50 36.0743 40.4762 28.7232 43.92
$data['id'] 04-10-24 11:00 37 50 32.0955 41.3043 27.7546 43.92
$data['id'] 03-10-24 11:00 37 50 34.4827 41.3043 25.3578 43.48
$data['id'] 02-10-24 11:00 41 50 49.6021 41.3043 24.5826 44.18
$data['id'] 01-10-24 11:00 42 50 53.3157 43.1818 24.5456 44.46
$data['id'] 30-09-24 11:00 48 50 65.252 52.2727 24.7742 44.68
$data['id'] 27-09-24 11:00 44 50 50.6631 52.0833 23.9972 44.93
$data['id'] 26-09-24 11:00 45 50 55.1725 52.0833 23.712 44.59
$data['id'] 25-09-24 11:00 45 50 53.3157 54.3478 24.3049 44.69
$data['id'] 24-09-24 11:00 49 50 70.557 56.8182 22.6143 45.19
$data['id'] 23-09-24 11:00 47 50 60.7427 56.8182 22.3917 44.83
$data['id'] 20-09-24 11:00 48 50 63.3952 58.3333 22.0724 44.86
$data['id'] 19-09-24 11:00 45 50 53.8461 56.25 20.9438 44.89
$data['id'] 18-09-24 11:00 44 50 51.1936 58.6957 19.5161 44.21
$data['id'] 17-09-24 11:00 45 50 54.6419 56.8182 19.0106 44.6
$data['id'] 16-09-24 11:00 43 50 51.1936 52.2727 19.0474 44.67
$data['id'] 13-09-24 11:00 48 50 56.2334 56.25 29.8685 44.69
$data['id'] 12-09-24 11:00 46 50 49.6021 56.25 29.636 44.53
$data['id'] 11-09-24 11:00 48 50 50.6631 58.6957 33.5152 44.52
$data['id'] 10-09-24 11:00 51 50 60.7427 61.3636 33.763 44.38
$data['id'] 09-09-24 11:00 53 50 62.069 65.9091 34.0869 44.91
$data['id'] 06-09-24 11:00 52 50 56.2334 68.75 34.1558 44.83
$data['id'] 05-09-24 11:00 52 50 57.8249 68.75 34.4851 44.67
$data['id'] 04-09-24 11:00 45 50 36.0743 63.0435 33.3571 44.33
$data['id'] 03-09-24 11:00 44 33.3333 41.9099 65.9091 38.6858 43.89
$data['id'] 02-09-24 11:00 51 50 53.0504 65.9091 38.3635 44.41
$data['id'] 30-08-24 11:00 51 50 48.5412 60.4167 47.8286 44.24
$data['id'] 29-08-24 11:00 63 50 42.9648 60.4167 99.1908 44.11
$data['id'] 28-08-24 11:00 62 50 42.8218 58.6957 98.9951 43.97
$data['id'] 27-08-24 11:00 58 33.3333 44.5887 56.8182 99.0817 43.65
$data['id'] 26-08-24 11:00 61 33.3333 52.6 61.3636 99.133 44
$data['id'] 23-08-24 11:00 60 33.3333 50 60.4167 99.1593 43.88
$data['id'] 22-08-24 11:00 60 33.3333 43.4 64.5833 99.3846 43.39
$data['id'] 21-08-24 11:00 61 33.3333 44.2 67.3913 99.2879 43.56
$data['id'] 20-08-24 11:00 59 33.3333 40.2 65.9091 99.2556 43.53
$data['id'] 19-08-24 11:00 61 33.3333 43.6 70.4545 99.1261 43.54
$data['id'] 16-08-24 11:00 55 33.3333 66.6 72.9167 48.5087 45.04
$data['id'] 15-08-24 11:00 54 33.3333 64 72.9167 48.9295 44.67
$data['id'] 14-08-24 11:00 62 50 78 76.087 45.2407 45.53
$data['id'] 13-08-24 11:00 60 50 70.2 75 45.0022 44.87
$data['id'] 12-08-24 11:00 59 50 67 75 45.1326 44.57
$data['id'] 09-08-24 11:00 52 33.3333 61 68.75 44.9192 44.22
$data['id'] 08-08-24 11:00 48 33.3333 52.8 64.5833 44.6758 44.05
$data['id'] 07-08-24 11:00 47 33.3333 45.8 67.3913 42.9618 44.03
$data['id'] 06-08-24 11:00 42 33.3333 30 65.9091 42.3928 42.71
$data['id'] 05-08-24 11:00 36 16.6667 16.2 65.9091 47.2618 42.76
$data['id'] 02-08-24 11:00 57 66.6667 70.6 64.5833 26.3804 44.23
$data['id'] 01-08-24 11:00 62 66.6667 93.2 68.75 20.6249 45.56
$data['id'] 31-07-24 11:00 68 83.3333 100 71.7391 20.4127 46.37
$data['id'] 30-07-24 11:00 68 83.3333 100 70.4545 20.1016 46.32
$data['id'] 29-07-24 11:00 68 83.3333 100 69.0476 21.634 46.01
$data['id'] 26-07-24 11:00 65 66.6667 100 71.7391 22.56 45.83
$data['id'] 25-07-24 11:00 61 66.6667 91.61 63.0435 23.4318 45.73
$data['id'] 24-07-24 11:00 61 66.6667 92.0635 63.0435 23.548 45.61
$data['id'] 23-07-24 11:00 63 66.6667 100 65.9091 23.0378 45.77
$data['id'] 22-07-24 11:00 63 66.6667 99.0992 64.2857 23.2186 45.59
$data['id'] 19-07-24 11:00 63 66.6667 95.4956 67.3913 23.9984 45.45
$data['id'] 18-07-24 11:00 67 83.3333 93.2433 67.3913 24.4172 45.47
$data['id'] 17-07-24 11:00 59 66.6667 84.91 63.0435 25.0309 45.34
$data['id'] 16-07-24 11:00 59 66.6667 80.6306 64.2857 25.9625 45.09
$data['id'] 15-07-24 11:00 64 83.3333 84.009 64.2857 25.8894 45.1
$data['id'] 12-07-24 11:00 57 66.6667 76.1262 58.6957 26.8358 44.99
$data['id'] 11-07-24 11:00 71 100 100 63.0435 21.6082 44.99
$data['id'] 10-07-24 11:00 67 100 88.0631 58.6957 22.3404 45.73
$data['id'] 09-07-24 11:00 60 83.3333 79.955 56.8182 22.9464 44.79
$data['id'] 08-07-24 11:00 56 66.6667 78.6037 54.7619 24.0661 44.7
$data['id'] 05-07-24 11:00 54 66.6667 76.1262 50 24.1403 44.47
$data['id'] 04-07-24 11:00 55 66.6667 79.7298 50 24.6118 44.78
$data['id'] 03-07-24 11:00 53 66.6667 74.7748 50 24.3387 44.61
$data['id'] 02-07-24 11:00 52 66.6667 67.7928 45.2381 29.0961 44.64
$data['id'] 01-07-24 11:00 50 66.6667 63.2883 45.2381 27.601 44.09
$data['id'] 28-06-24 11:00 43 50 50.6757 47.9167 25.9189 43.38
$data['id'] 27-06-24 11:00 40 50 43.018 43.75 25.461 43.3
$data['id'] 26-06-24 11:00 40 50 42.1171 45.6522 25.3979 43.03
$data['id'] 25-06-24 11:00 40 33.3333 43.018 45.2381 40.2617 43.15
$data['id'] 24-06-24 11:00 37 33.3333 35.8108 43.1818 38.893 43.23
$data['id'] 21-06-24 11:00 33 33.3333 24.5496 37.5 38.3659 42.56
$data['id'] 20-06-24 11:00 34 33.3333 30.8558 37.5 38.1076 42.73
$data['id'] 19-06-24 11:00 32 33.3333 25 34.7826 37.8653 42.43
$data['id'] 18-06-24 11:00 29 33.3333 15.7658 31.8182 36.1633 42.29
$data['id'] 17-06-24 11:00 21 16.6667 3.82879 31.8182 34.2914 41.8
$data['id'] 14-06-24 11:00 16 0 0 33.3333 34.4273 41.27
$data['id'] 13-06-24 11:00 21 16.6667 0 33.3333 34.2051 41.35
$data['id'] 12-06-24 11:00 22 16.6667 0 36.3636 35.6111 42
$data['id'] 07-06-24 11:00 28 16.6667 10.966 50 36.4166 42.45
$data['id'] 06-06-24 11:00 31 16.6667 18.9782 54.1667 36.035 42.69
$data['id'] 05-06-24 11:00 30 16.6667 16.2622 52.1739 35.7256 42.35
$data['id'] 04-06-24 11:00 33 16.6667 25.3394 54.5455 36.677 42.42
$data['id'] 03-06-24 11:00 42 33.3333 38.8027 59.0909 39.4326 43.12
$data['id'] 31-05-24 11:00 42 33.3333 39.8357 56.5217 41.805 42.89
$data['id'] 30-05-24 11:00 41 33.3333 37.3984 54.5455 41.6679 42.68
$data['id'] 29-05-24 11:00 40 33.3333 38.9559 50 40.6517 42.29
$data['id'] 28-05-24 11:00 41 33.3333 40.1606 52.381 41.998 42.83
$data['id'] 27-05-24 11:00 57 66.6667 81.1245 55 28.3613 44.8
$data['id'] 24-05-24 11:00 59 66.6667 84.9398 56.8182 28.065 45.02
$data['id'] 23-05-24 11:00 64 83.3333 92.7875 56.8182 26.4945 45.18
$data['id'] 22-05-24 11:00 69 83.3333 100 65.9091 26.8056 45.53
$data['id'] 21-05-24 11:00 67 83.3333 92.9578 64.2857 27.5726 45.71
$data['id'] 20-05-24 11:00 69 83.3333 97.8897 67.5 27.7113 45.74
$data['id'] 17-05-24 11:00 69 83.3333 99.0537 70.4545 27.026 45.44
$data['id'] 16-05-24 11:00 79 83.3333 95.5836 65.9091 72.5677 45.59
$data['id'] 15-05-24 11:00 78 83.3333 94.1641 65.9091 72.3877 45.43
$data['id'] 14-05-24 11:00 70 66.6667 85.6767 64.2857 63.7289 45.14
$data['id'] 13-05-24 11:00 84 100 100 67.5 68.5931 45.8
$data['id'] 10-05-24 11:00 83 100 100 65.9091 68.2877 45.69
$data['id'] 09-05-24 11:00 83 100 100 65.9091 66.7852 45.46
$data['id'] 08-05-24 11:00 82 100 100 61.3636 67.3024 45.42
$data['id'] 07-05-24 11:00 78 83.3333 100 59.5238 69.6182 44.93
$data['id'] 06-05-24 11:00 73 66.6667 100 57.5 70.2904 44.1
$data['id'] 03-05-24 11:00 73 66.6667 97.956 56.8182 71.9117 43.1
$data['id'] 02-05-24 11:00 72 66.6667 95.5974 56.8182 72.1204 43.16
$data['id'] 30-04-24 11:00 74 66.6667 98.4276 59.5238 71.6026 43.26
$data['id'] 29-04-24 11:00 74 66.6667 99.2138 62.5 71.0828 43.57
$data['id'] 26-04-24 11:00 75 66.6667 98.2704 65.9091 70.6849 43.25
$data['id'] 25-04-24 11:00 75 66.6667 96.7033 65.9091 70.7463 43.1
$data['id'] 24-04-24 11:00 75 66.6667 99.4169 66.6667 71.2357 43.2
$data['id'] 23-04-24 11:00 76 66.6667 100 67.5 71.0467 43.56
$data['id'] 22-04-24 11:00 74 66.6667 92.8571 67.5 72.1752 43.5
$data['id'] 19-04-24 11:00 71 66.6667 82 65.9091 71.1888 42.79
$data['id'] 18-04-24 11:00 73 66.6667 84.1428 70.4545 72.7851 42.87
$data['id'] 17-04-24 11:00 74 66.6667 85.2857 73.8095 72.7188 42.14
$data['id'] 16-04-24 11:00 74 66.6667 85.7143 72.5 74.461 42.27
$data['id'] 15-04-24 11:00 85 83.3333 100 77.5 79.345 43.42
$data['id'] 12-04-24 11:00 82 83.3333 98.4286 70.4545 79.0935 43.23
$data['id'] 11-04-24 11:00 89 100 100 75 81.7043 42.87
$data['id'] 10-04-24 11:00 88 100 100 73.8095 81.3054 43.63
$data['id'] 09-04-24 11:00 88 100 99.1428 72.5 81.8179 43.36
$data['id'] 08-04-24 11:02 90 100 99.2504 77.5 83.4927 43.59
$data['id'] 05-04-24 11:00 90 100 99.8422 78.5714 83.0037 42.95
$data['id'] 04-04-24 11:00 91 100 100 84.0909 83.1413 43.18
$data['id'] 03-04-24 11:00 87 83.3333 100 83.3333 83.6008 42.92
$data['id'] 02-04-24 11:00 91 100 98.7221 82.5 83.3733 42.54
$data['id'] 28-03-24 11:00 87 100 100 79.5455 69.7045 42.8
$data['id'] 27-03-24 11:00 81 100 100 79.5455 46.5662 42.31
$data['id'] 26-03-24 11:00 81 100 100 79.5455 46.5537 42.16
$data['id'] 25-03-24 11:00 81 100 100 78.5714 46.532 42.05
$data['id'] 22-03-24 11:00 79 100 100 70.4545 46.4482 41.67
$data['id'] 21-03-24 11:00 79 100 100 70.4545 46.3776 41.72
$data['id'] 20-03-24 11:00 69 66.6667 99.1507 65.9091 46.3503 41.37
$data['id'] 19-03-24 11:00 71 83.3333 90.6383 65.9091 46.3357 41.15
$data['id'] 18-03-24 11:00 72 83.3333 92.5532 69.0476 46.371 40.98
$data['id'] 15-03-24 11:00 68 83.3333 87.8723 56.8182 46.1872 40.89
$data['id'] 14-03-24 10:00 71 83.3333 91.9149 65.9091 45.9577 40.84
$data['id'] 13-03-24 10:00 73 83.3333 97.2341 65.9091 46.0808 40.89
$data['id'] 12-03-24 10:02 73 83.3333 93.6479 70.4545 46.1005 41.23
$data['id'] 11-03-24 10:02 70 83.3333 88.7477 64.2857 46.0806 40.97
$data['id'] 08-03-24 10:00 72 83.3333 88.5663 70.4545 46.0125 40.73
$data['id'] 07-03-24 10:00 69 83.3333 81.6151 65.9091 46.0386 40.57
$data['id'] 06-03-24 10:00 66 83.3333 75.4561 61.3636 46.0104 40.03
$data['id'] 05-03-24 10:00 63 83.3333 70.1493 56.8182 45.1207 39.63
$data['id'] 04-03-24 12:00 63 83.3333 71.6418 54.7619 45.0765 39.48
$data['id'] 01-03-24 12:00 66 83.3333 80.9287 56.8182 45.7052 39.8
$data['id'] 29-02-24 12:00 76 100 100 56.25 48.6749 41.26
$data['id'] 28-02-24 12:00 73 66.6667 99.2882 54.3478 72.6165 38.04
$data['id'] 27-02-24 12:00 64 50 80.7829 52.2727 73.7615 37.8
$data['id'] 26-02-24 12:00 64 50 80.4271 52.2727 73.8955 37.42
$data['id'] 23-02-24 12:00 63 50 74.7331 56.25 72.9996 37.6
$data['id'] 22-02-24 12:00 67 50 91.1032 56.25 73.5207 37.87
$data['id'] 21-02-24 12:00 65 50 84.3416 54.3478 73.7503 37.52
$data['id'] 20-02-24 12:00 60 50 70.1068 50 73.5561 37.42
$data['id'] 19-02-24 12:00 62 50 73.2639 52.2727 73.6458 37.21
$data['id'] 16-02-24 12:00 65 50 87.2964 52.0833 73.5956 37.44
$data['id'] 15-02-24 12:00 63 50 80.0642 47.9167 74.6577 37.82
$data['id'] 14-02-24 12:00 63 50 78.7301 50 74.234 37.45
$data['id'] 13-02-24 12:00 65 50 90.3021 47.7273 73.479 37.35
$data['id'] 12-02-24 12:00 62 50 82.3529 43.1818 74.9739 37.08
$data['id'] 09-02-24 12:00 60 50 78.8553 39.5833 75.3786 36.68
$data['id'] 08-02-24 12:00 59 50 78.0604 35.4167 75.6742 36.59
$data['id'] 07-02-24 12:00 63 50 86.8044 36.9565 78.9615 36.77
$data['id'] 06-02-24 12:00 67 66.6667 92.6868 38.6364 73.3548 37.55
$data['id'] 05-02-24 12:00 70 66.6667 98.2512 43.1818 72.7871 37.72
$data['id'] 02-02-24 12:00 71 66.6667 98.4101 47.9167 72.902 37.95
$data['id'] 01-02-24 12:00 76 83.3333 100 47.8261 75.1447 37.5
$data['id'] 31-01-24 12:00 76 83.3333 100 47.7273 75.0371 38.1
$data['id'] 30-01-24 12:00 77 83.3333 100 50 75.039 38.01
$data['id'] 29-01-24 12:00 70 66.6667 99.5223 45.2381 71.1651 38.06
$data['id'] 26-01-24 12:00 75 83.3333 100 47.7273 70.8591 37.88
$data['id'] 25-01-24 12:00 71 66.6667 100 47.619 71.2735 37.74
$data['id'] 24-01-24 12:02 70 66.6667 98.5097 47.5 71.2692 37.82
$data['id'] 23-01-24 12:02 69 66.6667 95.6781 44.7368 71.2009 37.49
$data['id'] 22-01-24 12:00 71 66.6667 98.0626 50 71.0182 37.6
$data['id'] 19-01-24 12:00 68 66.6667 91.0581 45.2381 71.5349 37.15
$data['id'] 18-01-24 12:00 68 66.6667 89.1207 45.2381 72.0049 37.16
$data['id'] 17-01-24 12:00 65 66.6667 83.9312 42.5 69.9966 36.89
$data['id'] 16-01-24 12:00 67 66.6667 87.0147 44.7368 70.3914 37.11
$data['id'] 15-01-24 12:00 79 100 95.7162 50 72.6671 37.25
$data['id'] 12-01-24 12:00 75 83.3333 92.9041 52.381 72.3715 37.3
$data['id'] 11-01-24 12:00 82 100 100 57.1429 74.0506 37.29
$data['id'] 10-01-24 12:00 81 100 100 55 70.414 37.81
$data['id'] 09-01-24 12:00 78 83.3333 96.9856 52.6316 80.2696 36.68
$data['id'] 08-01-24 12:00 83 100 100 52.6316 81.1398 37.17
$data['id'] 05-01-24 12:00 78 83.3333 96.4286 52.381 80.4802 37.06
$data['id'] 04-01-24 12:14 80 83.3333 100 57.1429 81.5389 36.9
$data['id'] 03-01-24 12:00 85 100 100 60 81.336 36.44
$data['id'] 02-01-24 12:00 81 83.3333 100 57.8947 83.4925 36.54
$data['id'] 29-12-23 12:00 73 83.3333 100 66.6667 45.2008 35.71
$data['id'] 28-12-23 12:00 71 83.3333 99.2101 57.1429 45.0508 35.83
$data['id'] 27-12-23 12:00 71 83.3333 99.1896 57.1429 45.0235 35.85
$data['id'] 22-12-23 12:00 64 66.6667 92.5446 52.1739 44.8353 35.45
$data['id'] 21-12-23 12:00 63 66.6667 91.0859 52.1739 44.7445 35.19
$data['id'] 20-12-23 12:00 68 83.3333 94.4895 52.1739 44.8533 35.37
$data['id'] 19-12-23 12:00 74 100 97.0827 56.8182 44.8962 35.52
$data['id'] 18-12-23 12:00 75 100 98.3793 57.1429 44.7267 35.45
$data['id'] 15-12-23 12:00 75 100 99.1896 58.6957 44.6688 35.79
$data['id'] 14-12-23 12:00 76 100 100 63.0435 44.6855 35.74
$data['id'] 13-12-23 12:00 76 100 99.5042 63.0435 44.6219 35.53
$data['id'] 12-12-23 12:00 75 100 97.686 61.3636 44.5749 35.46
$data['id'] 11-12-23 12:00 76 100 96.3637 64.2857 44.5001 35.42
$data['id'] 08-12-23 12:00 77 100 100 67.3913 44.5369 35.55
$data['id'] 07-12-23 12:00 73 100 99.1497 52.1825 44.0131 35.39
$data['id'] 06-12-23 12:00 70 100 86.931 52.2517 44.0502 35.3
$data['id'] 05-12-23 12:00 69 100 81.3509 52.0557 43.9251 35.16
$data['id'] 04-12-23 12:00 70 100 84.5152 52.1248 43.8262 34.97

Nota: De weergegeven waardes zijn genormaliseerd. De genormaliseerde waarden zijn zo ingesteld dat een waarde van 50 een neutraal marktsentiment aangeeft. Waarden boven de 50 wijzen op een positief (bullish) sentiment (hebzucht), terwijl waarden onder de 50 een negatief (bearish) sentiment (angst) aanduiden.