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WKL.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 76 83.3333 100 72.7273 48.3738 180.45
$data['id'] 10-02-25 11:00 74 83.3333 100 68.1818 47.3996 179.15
$data['id'] 07-02-25 11:00 71 66.6667 99.25 70.8333 49.8732 176.15
$data['id'] 06-02-25 11:00 72 66.6667 99.75 72.9167 49.93 176.95
$data['id'] 05-02-25 11:00 75 83.3333 92.5439 75 50.3516 176.35
$data['id'] 04-02-25 11:00 75 83.3333 95.1754 75 50.2237 175.15
$data['id'] 03-02-25 11:00 77 83.3333 95.614 79.5455 50.1971 175.15
$data['id'] 31-01-25 11:00 78 83.3333 100 79.5455 50.6797 175.25
$data['id'] 30-01-25 11:00 77 83.3333 95.8605 80.4348 50.5602 175.05
$data['id'] 29-01-25 11:00 76 83.3333 92.8104 79.5455 50.5695 173.35
$data['id'] 28-01-25 11:00 75 83.3333 90.8497 77.5 51.0722 173
$data['id'] 27-01-25 11:00 69 83.3333 74.7277 69.0476 50.7286 170.3
$data['id'] 24-01-25 11:00 70 83.3333 73.6383 73.8095 50.8471 169.75
$data['id'] 23-01-25 11:00 72 83.3333 80.1743 76.1905 50.4079 169.5
$data['id'] 22-01-25 11:00 80 100 100 80 43.4582 174.75
$data['id'] 21-01-25 11:00 80 100 100 78.9474 43.0346 173.25
$data['id'] 20-01-25 11:00 80 100 100 73.6842 50.2192 172.3
$data['id'] 17-01-25 11:00 80 100 100 71.4286 50.1361 172
$data['id'] 16-01-25 11:00 74 83.3333 100 65 50.0208 169.7
$data['id'] 15-01-25 11:00 69 66.6667 100 65 46.685 167.2
$data['id'] 14-01-25 11:00 69 66.6667 100 63.1579 47.8017 164.8
$data['id'] 13-01-25 11:00 64 66.6667 79.7101 63.1579 48.9481 163.95
$data['id'] 10-01-25 11:00 69 66.6667 100 66.6667 45.8119 165.35
$data['id'] 09-01-25 11:00 62 50 90.4762 66.6667 43.5418 164.125
$data['id'] 08-01-25 11:00 57 50 72.6191 65 41.3593 162.3
$data['id'] 07-01-25 11:00 46 33.3333 53.5714 57.8947 41.1827 159.8
$data['id'] 06-01-25 11:00 52 50 59.5238 57.8947 42.6619 159.3
$data['id'] 03-01-25 11:00 53 50 67.4603 55 41.8781 158.95
$data['id'] 02-01-25 11:00 54 50 68.254 57.1429 41.854 161.25
$data['id'] 31-12-24 11:00 53 50 61.9048 57.5 44.5542 160.4
$data['id'] 30-12-24 11:00 59 66.6667 67.8571 57.8947 43.8185 159.35
$data['id'] 24-12-24 11:00 60 66.6667 66.6667 65.9091 42.7105 159.5
$data['id'] 23-12-24 11:00 59 66.6667 67.0636 64.2857 41.7184 159.65
$data['id'] 20-12-24 11:00 58 66.6667 63.492 63.0435 42.1364 160.525
$data['id'] 19-12-24 11:00 64 66.6667 81.3492 63.0435 48.0448 160.15
$data['id'] 18-12-24 11:00 72 83.3333 96.8254 63.0435 45.1141 163.6
$data['id'] 17-12-24 11:00 66 66.6667 92.2481 61.3636 45.9417 163.3
$data['id'] 16-12-24 11:00 64 66.6667 85.7651 59.5238 45.6425 163.4
$data['id'] 13-12-24 11:00 66 66.6667 87.9004 63.0435 47.4104 162.4
$data['id'] 12-12-24 11:00 63 66.6667 76.5124 58.6957 53.4596 161.95
$data['id'] 11-12-24 11:00 69 83.3333 83.6299 58.6957 53.1611 162.75
$data['id'] 10-12-24 11:00 67 83.3333 76.8683 54.7619 53.6299 162
$data['id'] 09-12-24 11:00 68 83.3333 80.7829 54.7619 53.5511 161.4
$data['id'] 06-12-24 11:00 69 83.3333 82.9182 58.6957 53.6761 162.85
$data['id'] 05-12-24 11:00 74 83.3333 100 63.0435 53.4458 164.15
$data['id'] 04-12-24 11:00 67 66.6667 92.0834 58.6957 53.3417 162.55
$data['id'] 03-12-24 11:00 66 66.6667 85 61.3636 53.3975 161
$data['id'] 02-12-24 11:00 58 50 70.4166 59.5238 53.4079 160
$data['id'] 29-11-24 11:00 48 33.3333 55.8333 50 53.3647 157.65
$data['id'] 28-11-24 11:00 55 50 65.8334 54.1667 53.7199 157.3
$data['id'] 27-11-24 11:00 50 33.3333 61.6667 52.1739 53.8044 157.7
$data['id'] 26-11-24 11:00 49 33.3333 60.8334 50 54.6864 157.7
$data['id'] 25-11-24 11:00 50 33.3333 62.0833 50 54.6113 156.4
$data['id'] 22-11-24 11:00 55 33.3333 40 52.1739 96.0467 158.5
$data['id'] 21-11-24 11:00 45 16.6667 22.9167 47.9167 96.312 153.45
$data['id'] 20-11-24 11:00 50 33.3333 24.5833 47.8261 96.2508 153.1
$data['id'] 19-11-24 11:00 48 33.3333 16.25 50 96.1206 153.6
$data['id'] 18-11-24 11:00 51 33.3333 26.4 50 96.4175 153.85
$data['id'] 15-11-24 11:00 56 66.6667 61.2001 45.8333 50.5612 151.65
$data['id'] 14-11-24 11:00 59 66.6667 72.4 50 50.6286 159.15
$data['id'] 13-11-24 11:00 57 66.6667 65.6 47.8261 50.8832 158.35
$data['id'] 12-11-24 11:00 65 66.6667 94 50 50.2777 159.45
$data['id'] 11-11-24 11:00 68 66.6667 100 54.5455 50.902 162.2
$data['id'] 08-11-24 11:00 69 66.6667 100 58.3333 51.0572 161.6
$data['id'] 07-11-24 11:00 69 66.6667 99.5555 60.4167 51.1745 160.3
$data['id'] 06-11-24 11:00 69 66.6667 100 60.8696 51.7294 160.85
$data['id'] 05-11-24 11:00 62 66.6667 73.8938 59.0909 50.8647 159.55
$data['id'] 04-11-24 11:00 62 66.6667 70.3541 61.3636 50.8665 157.8
$data['id'] 01-11-24 11:00 56 66.6667 54.4248 56.25 50.5382 157.8
$data['id'] 31-10-24 11:00 58 66.6667 56.1947 60.4167 50.8783 154.5
$data['id'] 30-10-24 11:00 61 66.6667 71.6814 58.6957 49.6135 155.85
$data['id'] 29-10-24 11:00 73 83.3333 100 65.9091 46.4227 159.8
$data['id'] 28-10-24 11:00 72 83.3333 94.6903 64.2857 45.9569 161
$data['id'] 25-10-24 11:00 57 66.6667 63.2744 50 50.5499 158.5
$data['id'] 24-10-24 11:00 64 83.3333 69.0266 54.3478 50.4418 158.1
$data['id'] 23-10-24 11:00 58 66.6667 65.9293 52.2727 50.7491 157.15
$data['id'] 22-10-24 11:00 60 66.6667 71.2389 52.2727 50.6294 157.55
$data['id'] 21-10-24 11:00 67 83.3333 81.416 54.7619 50.5731 158.8
$data['id'] 18-10-24 11:00 66 66.6667 90.678 56.8182 50.476 159.15
$data['id'] 17-10-24 11:00 68 66.6667 100 58.6957 50.4904 161.05
$data['id'] 16-10-24 11:00 69 66.6667 100 61.3636 51.1739 159.95
$data['id'] 15-10-24 11:00 69 66.6667 100 61.3636 51.3605 160.35
$data['id'] 14-10-24 11:00 59 50 76.1262 59.5238 50.437 156.95
$data['id'] 11-10-24 11:00 46 16.6667 56.3064 63.0435 50.2178 154.9
$data['id'] 10-10-24 11:00 47 33.3333 47.2973 58.6957 50.2693 152.7
$data['id'] 09-10-24 11:00 53 16.6667 43.6936 54.3478 99.1402 152.9
$data['id'] 08-10-24 11:00 56 33.3333 36.4864 56.8182 99.1895 152.15
$data['id'] 07-10-24 11:00 50 16.6667 30.6306 54.7619 99.2651 151
$data['id'] 04-10-24 11:00 46 16.6667 22.5225 50 98.5376 149.9
$data['id'] 03-10-24 11:00 57 33.3333 46.3964 50 99.0543 152
$data['id'] 02-10-24 11:00 61 50 46.8469 50 98.4918 152.85
$data['id'] 01-10-24 11:00 59 50 41.8919 47.7273 98.509 151.65
$data['id'] 30-09-24 11:00 65 66.6667 48.1982 47.7273 99.07 151.5
$data['id'] 27-09-24 11:00 58 66.6667 63.5135 52.0833 50.6686 155
$data['id'] 26-09-24 11:00 67 83.3333 84.6847 52.0833 50.4744 155.7
$data['id'] 25-09-24 11:00 69 83.3333 89.1892 54.3478 50.9552 157.4
$data['id'] 24-09-24 11:00 63 66.6667 83.3334 52.2727 51.4928 156.8
$data['id'] 23-09-24 11:00 63 66.6667 79.7297 56.8182 51.4879 157.1
$data['id'] 20-09-24 11:00 63 66.6667 81.5315 56.25 51.4361 155.65
$data['id'] 19-09-24 11:00 62 66.6667 74.3244 56.25 51.3995 156.45
$data['id'] 18-09-24 11:00 63 66.6667 80.1802 54.3478 50.9643 154.95
$data['id'] 17-09-24 11:00 68 66.6667 100 56.8182 50.5376 158.5
$data['id'] 16-09-24 11:00 69 83.3333 92.6829 52.2727 50.4533 156.95
$data['id'] 13-09-24 11:00 64 66.6667 89.7561 52.0833 50.489 156.65
$data['id'] 12-09-24 11:00 54 50 66.3413 52.0833 50.0994 154.55
$data['id'] 11-09-24 11:00 46 50 41.4634 45.6522 49.7407 152.8
$data['id'] 10-09-24 11:00 49 50 49.2682 47.7273 49.5833 152.6
$data['id'] 09-09-24 11:00 36 50 -1 52.2727 45.6556 152.2
$data['id'] 06-09-24 11:00 47 50 37.0731 56.25 44.8913 150.25
$data['id'] 05-09-24 11:00 55 66.6667 59.9999 58.3333 37.3016 150.55
$data['id'] 04-09-24 11:00 54 66.6667 52.195 58.6957 39.8108 153.3
$data['id'] 03-09-24 11:00 61 66.6667 75.1219 65.9091 39.0991 153.85
$data['id'] 02-09-24 11:00 56 66.6667 61.9511 56.8182 39.551 154.15
$data['id'] 30-08-24 11:00 59 66.6667 75.6098 52.0833 43.9785 154.05
$data['id'] 29-08-24 11:00 52 50 59.5121 56.25 43.1628 155.25
$data['id'] 28-08-24 11:00 42 33.3333 36.5854 54.3478 44.513 152.15
$data['id'] 27-08-24 11:00 38 33.3333 23.9024 52.2727 45.2594 149.8
$data['id'] 26-08-24 11:00 39 33.3333 28.7805 47.7273 48.2722 151.05
$data['id'] 23-08-24 11:00 44 33.3333 38.0487 56.25 48.4214 151
$data['id'] 22-08-24 11:00 47 33.3333 44.878 60.4167 49.8073 151.4
$data['id'] 21-08-24 11:00 60 33.3333 49.2682 58.6957 99.8507 151.55
$data['id'] 20-08-24 11:00 58 33.3333 44.3901 56.8182 99.8836 151.85
$data['id'] 19-08-24 11:00 50 16.6667 27.317 56.8182 99.8198 151.3
$data['id'] 16-08-24 11:00 53 16.6667 39.9999 56.25 99.3663 151.6
$data['id'] 15-08-24 11:00 52 16.6667 38.0487 56.25 99.3896 152.15
$data['id'] 14-08-24 11:00 57 33.3333 38.4977 58.6957 99.3981 151.15
$data['id'] 13-08-24 11:00 50 16.6667 32.4786 52.2727 98.6031 150.7
$data['id'] 12-08-24 11:00 50 16.6667 34.188 52.2727 98.5245 149.75
$data['id'] 09-08-24 11:00 48 16.6667 27.7311 52.0833 98.6351 149.45
$data['id'] 08-08-24 11:00 43 16.6667 9.24374 52.0833 97.5707 148.1
$data['id'] 07-08-24 11:00 51 33.3333 20.1681 54.3478 96.9015 148.9
$data['id'] 06-08-24 11:00 49 33.3333 14.2857 52.2727 96.833 147.6
$data['id'] 05-08-24 11:00 45 16.6667 18.0673 52.2727 96.9045 147.3
$data['id'] 02-08-24 11:00 58 50 39.0757 47.9167 97.1252 149.9
$data['id'] 01-08-24 11:00 67 66.6667 52.9412 52.0833 97.2758 151.9
$data['id'] 31-07-24 11:00 67 66.6667 54.2016 54.3478 96.5104 155.05
$data['id'] 30-07-24 11:00 68 66.6667 100 56.8182 51.6403 157.55
$data['id'] 29-07-24 11:00 69 66.6667 100 59.5238 51.4262 155.55
$data['id'] 26-07-24 11:00 67 66.6667 96.8912 54.3478 51.4387 155.6
$data['id'] 25-07-24 11:00 63 66.6667 86.4999 50 51.3804 154.3
$data['id'] 24-07-24 11:00 57 50 79.5 47.8261 51.6343 153.8
$data['id'] 23-07-24 11:00 58 50 80.4999 50 51.5901 153.8
$data['id'] 22-07-24 11:00 54 50 70.9999 47.619 51.3652 152.95
$data['id'] 19-07-24 11:00 52 50 55.9999 52.1739 51.1236 150.45
$data['id'] 18-07-24 11:00 58 33.3333 54.5 47.8261 98.6806 151
$data['id'] 17-07-24 11:00 59 66.6667 73.9999 47.8261 50.9394 150.9
$data['id'] 16-07-24 11:00 62 66.6667 83.4042 47.619 51.1788 154.05
$data['id'] 15-07-24 11:00 67 66.6667 100 52.381 51.3538 153.85
$data['id'] 12-07-24 11:00 63 66.6667 80.4794 56.5217 50.6315 154.6
$data['id'] 11-07-24 11:00 62 66.6667 89.0411 56.5217 39.5584 150.85
$data['id'] 10-07-24 11:00 63 66.6667 92.8082 58.6957 36.9286 154.9
$data['id'] 09-07-24 11:00 64 66.6667 92.4657 59.0909 40.2055 153.9
$data['id'] 08-07-24 11:00 64 66.6667 94.2122 57.1429 41.0769 153.7
$data['id'] 05-07-24 11:00 64 66.6667 91.6399 56.5217 41.2253 152.85
$data['id'] 04-07-24 11:00 64 66.6667 90.0321 60.8696 41.4734 153.75
$data['id'] 03-07-24 11:00 64 66.6667 88.746 60.8696 41.7658 153.75
$data['id'] 02-07-24 11:00 64 66.6667 81.672 61.9048 48.5684 153.65
$data['id'] 01-07-24 11:00 65 66.6667 89.7106 61.9048 45.2943 153.6
$data['id'] 28-06-24 11:00 71 83.3333 100 60.4167 43.4871 154.35
$data['id'] 27-06-24 11:00 66 66.6667 99.0033 58.3333 42.3558 154.9
$data['id'] 26-06-24 11:00 69 66.6667 100 60.8696 48.7357 153.1
$data['id'] 25-06-24 11:00 71 83.3333 91.3621 59.5238 50.1845 153.65
$data['id'] 24-06-24 11:00 71 83.3333 93.6876 56.8182 50.2181 153.65
$data['id'] 21-06-24 11:00 74 83.3333 100 64.5833 48.8593 154.85
$data['id'] 20-06-24 11:00 71 83.3333 92.2818 64.5833 47.6947 154.5
$data['id'] 19-06-24 11:00 70 83.3333 87.5839 63.0435 49.2651 152.8
$data['id'] 18-06-24 11:00 78 100 100 65.9091 46.4644 154.2
$data['id'] 17-06-24 11:00 69 66.6667 100 65.9091 45.3315 152.8
$data['id'] 14-06-24 11:00 69 66.6667 100 66.6667 45.2768 152.4
$data['id'] 13-06-24 11:00 68 66.6667 100 62.5 45.2317 152.15
$data['id'] 12-06-24 11:00 64 66.6667 88.3334 59.0909 43.4512 151.75
$data['id'] 07-06-24 11:00 64 66.6667 90.4167 58.3333 42.1462 149.85
$data['id'] 06-06-24 11:00 66 66.6667 92.0834 62.5 43.3648 150.2
$data['id'] 05-06-24 11:00 60 66.6667 75 60.8696 39.6022 149.6
$data['id'] 04-06-24 11:00 52 66.6667 49.5833 54.5455 39.517 147.15
$data['id'] 03-06-24 11:00 58 66.6667 61.6666 63.6364 41.7554 146.4
$data['id'] 31-05-24 11:00 57 66.6667 59.1667 63.0435 41.8741 146
$data['id'] 30-05-24 11:00 60 66.6667 70.8333 61.3636 41.593 145.65
$data['id'] 29-05-24 11:00 61 66.6667 80.0001 61.3636 39.8118 148.55
$data['id'] 28-05-24 11:00 72 83.3333 100 69.0476 36.0814 149.5
$data['id'] 27-05-24 11:00 66 66.6667 92.5001 67.5 41.2441 150.8
$data['id'] 24-05-24 11:00 69 66.6667 100 65.9091 45.0294 151.25
$data['id'] 23-05-24 11:00 68 66.6667 100 61.3636 47.2346 149.2
$data['id'] 22-05-24 11:00 70 83.3333 89.3855 61.3636 47.8717 147.8
$data['id'] 21-05-24 11:00 69 83.3333 87.7096 57.1429 48.2189 146.9
$data['id'] 20-05-24 11:00 64 66.6667 83.7989 57.5 48.2041 147.2
$data['id'] 17-05-24 11:00 60 66.6667 74.8603 52.2727 49.3025 146.6
$data['id'] 16-05-24 11:00 64 83.3333 70.9498 52.2727 51.6385 146.25
$data['id'] 15-05-24 11:00 59 66.6667 70.3911 50 51.6099 145.75
$data['id'] 14-05-24 11:00 60 66.6667 74.3016 47.619 51.709 145.6
$data['id'] 13-05-24 11:00 63 66.6667 83.7989 50 51.9441 146.2
$data['id'] 10-05-24 11:00 69 83.3333 85.4748 59.0909 51.9912 147
$data['id'] 09-05-24 11:00 70 83.3333 91.6201 54.5455 53.7971 148.35
$data['id'] 08-05-24 11:00 70 83.3333 90.5029 54.5455 53.7272 147.6
$data['id'] 07-05-24 11:00 54 50 61.4525 52.381 55.9333 146
$data['id'] 06-05-24 11:00 53 50 57.5419 50 55.314 144.2
$data['id'] 03-05-24 11:00 43 33.3333 36.3129 45.4545 57.023 143.15
$data['id'] 02-05-24 11:00 35 33.3333 11.7319 38.6364 57.7112 140.45
$data['id'] 30-04-24 11:00 35 33.3333 10.6145 40.4762 57.0113 140.8
$data['id'] 29-04-24 11:00 41 33.3333 38.5475 42.5 50.2622 141.4
$data['id'] 26-04-24 11:00 36 33.3333 12.8491 43.1818 57.2255 142.95
$data['id'] 25-04-24 11:00 36 33.3333 16.7598 38.6364 58.3213 139.9
$data['id'] 24-04-24 11:00 46 33.3333 48.6034 45.2381 57.9693 141.55
$data['id'] 23-04-24 11:00 41 33.3333 33.5196 42.5 57.6222 142.55
$data['id'] 22-04-24 11:00 37 33.3333 20.5406 37.5 58.8204 141.4
$data['id'] 19-04-24 11:00 31 16.6667 11.892 38.6364 58.4874 140.5
$data['id'] 18-04-24 11:00 34 16.6667 23.7838 40.9091 58.3578 141.65
$data['id'] 17-04-24 11:00 44 33.3333 42.7835 45.2381 56.7892 141.35
$data['id'] 16-04-24 11:00 37 16.6667 31.8628 42.5 57.433 141.2
$data['id'] 15-04-24 11:00 42 16.6667 46.5812 47.5 58.2432 142.15
$data['id'] 12-04-24 11:00 41 16.6667 44.8718 47.7273 57.5664 140.7
$data['id'] 11-04-24 11:00 36 16.6667 24.359 43.1818 59.9495 140.15
$data['id'] 10-04-24 11:00 37 16.6667 29.4872 45.2381 59.0079 139.75
$data['id'] 09-04-24 11:00 37 16.6667 31.6239 47.5 55.913 140.25
$data['id'] 08-04-24 11:02 27 16.6667 37.6068 -1 55.727 140.3
$data['id'] 05-04-24 11:00 34 16.6667 15.812 50 54.7042 140.9
$data['id'] 04-04-24 11:00 35 16.6667 23.0769 47.7273 56.3431 139.1
$data['id'] 03-04-24 11:00 49 50 40.5983 50 57.2712 140.55
$data['id'] 02-04-24 11:00 64 66.6667 70.248 52.5 67.8062 141.7
$data['id'] 28-03-24 11:00 67 66.6667 79.3388 56.8182 67.7244 145.45
$data['id'] 27-03-24 11:00 67 66.6667 80.8164 56.8182 66.7645 145.25
$data['id'] 26-03-24 11:00 65 66.6667 76.4119 52.2727 68.6301 144.7
$data['id'] 25-03-24 11:00 68 66.6667 85.7143 54.7619 68.424 144.6
$data['id'] 22-03-24 11:00 69 66.6667 87.9518 54.5455 68.349 146.3
$data['id'] 21-03-24 11:00 69 66.6667 86.4407 56.8182 66.469 146.05
$data['id'] 20-03-24 11:00 70 66.6667 92.9134 56.8182 65.3254 146.65
$data['id'] 19-03-24 11:00 66 66.6667 83.5509 52.2727 64.8552 145.3
$data['id'] 18-03-24 11:00 67 66.6667 83.2513 54.7619 63.4931 145
$data['id'] 15-03-24 11:00 65 66.6667 80.7882 52.2727 60.9222 144.65
$data['id'] 14-03-24 10:00 60 50 80.1453 52.2727 57.5822 144.2
$data['id'] 13-03-24 10:00 63 66.6667 79.4686 52.2727 56.9365 144.2
$data['id'] 12-03-24 10:02 63 66.6667 79.4686 52.2727 54.935 144.6
$data['id'] 11-03-24 10:02 64 66.6667 86.715 50 55.6401 143.55
$data['id'] 08-03-24 10:00 66 66.6667 89.6136 52.2727 56.1879 145.85
$data['id'] 07-03-24 10:00 61 66.6667 80.4348 47.7273 52.7754 145.35
$data['id'] 06-03-24 10:00 62 66.6667 83.0918 47.7273 53.3782 144.25
$data['id'] 05-03-24 10:00 65 66.6667 87.9227 54.5455 54.1756 145.65
$data['id'] 04-03-24 12:00 63 66.6667 83.0918 50 53.851 145.5
$data['id'] 01-03-24 12:00 65 66.6667 85.0242 56.8182 54.1797 145
$data['id'] 29-02-24 12:00 68 66.6667 89.372 62.5 55.0957 146.15
$data['id'] 28-02-24 12:00 71 83.3333 87.1981 63.0435 54.4082 145.95
$data['id'] 27-02-24 12:00 71 83.3333 89.8551 61.3636 50.9098 145.8
$data['id'] 26-02-24 12:00 80 100 100 70.4545 53.3829 147.3
$data['id'] 23-02-24 12:00 79 100 100 64.5833 52.8381 148.5
$data['id'] 22-02-24 12:00 77 100 100 60.4167 51.5401 147.75
$data['id'] 21-02-24 12:00 71 83.3333 92.3858 58.6957 52.9437 145.45
$data['id'] 20-02-24 12:00 77 100 99.1803 56.8182 53.7246 147.05
$data['id'] 19-02-24 12:00 78 100 100 61.3636 53.8867 145.7
$data['id'] 16-02-24 12:00 71 66.6667 100 62.5 55.5085 144.05
$data['id'] 15-02-24 12:00 69 66.6667 92.691 62.5 55.2519 141.65
$data['id'] 14-02-24 12:00 71 66.6667 96.6049 65.2174 57.7393 142.5
$data['id'] 13-02-24 12:00 69 66.6667 88.2175 63.6364 59.7659 140
$data['id'] 12-02-24 12:00 81 100 100 68.1818 58.3273 142.5
$data['id'] 09-02-24 12:00 74 66.6667 100 70.8333 60.795 142.3
$data['id'] 08-02-24 12:00 72 66.6667 98.1132 68.75 57.6777 139.35
$data['id'] 07-02-24 12:00 74 66.6667 100 71.7391 57.6004 139.05
$data['id'] 06-02-24 12:00 71 66.6667 95.6811 68.1818 56.5275 139.45
$data['id'] 05-02-24 12:00 73 66.6667 97.1609 72.7273 56.9765 138.95
$data['id'] 02-02-24 12:00 77 83.3333 100 70.8333 56.2729 138.55
$data['id'] 01-02-24 12:00 69 66.6667 85.9282 69.5652 56.7449 137.85
$data['id'] 31-01-24 12:00 83 100 99.7006 72.7273 62.8643 136.6
$data['id'] 30-01-24 12:00 83 100 100 71.4286 60.8518 139
$data['id'] 29-01-24 12:00 80 100 97.0414 66.6667 60.0932 138.4
$data['id'] 26-01-24 12:00 82 100 99.7041 68.1818 62.0927 138.25
$data['id'] 25-01-24 12:00 83 100 100 71.4286 62.091 139.2
$data['id'] 24-01-24 12:02 81 100 95.912 70 61.9307 139.15
$data['id'] 23-01-24 12:02 80 100 93.1035 68.4211 61.0577 137.2
$data['id'] 22-01-24 12:00 82 100 100 68.4211 62.7975 138.55
$data['id'] 19-01-24 12:00 80 100 100 57.1429 63.1512 137.45
$data['id'] 18-01-24 12:00 72 83.3333 95.297 50 61.2862 136.05
$data['id'] 17-01-24 12:00 78 100 100 52.5 62.1629 135.8
$data['id'] 16-01-24 12:00 70 66.6667 100 50 66.9519 136.15
$data['id'] 15-01-24 12:00 68 66.6667 97.5138 50 58.2092 133.4
$data['id'] 12-01-24 12:00 72 83.3333 98.87 50 58.2943 134
$data['id'] 11-01-24 12:00 65 66.6667 88.7006 50 58.2383 131.75
$data['id'] 10-01-24 12:00 63 66.6667 77.6836 47.5 60.3259 130.35
$data['id'] 09-01-24 12:00 60 66.6667 73.4463 39.4737 60.4716 129.25
$data['id'] 08-01-24 12:00 60 66.6667 68.3616 44.7368 61.7421 128.8
$data['id'] 05-01-24 12:00 53 50 63.2768 40.4762 60.7852 127.75
$data['id'] 04-01-24 12:14 55 50 70.6214 40.4762 61.6828 128.4
$data['id'] 03-01-24 12:00 56 66.6667 66.9491 37.5 56.6479 127.3
$data['id'] 02-01-24 12:00 57 66.6667 71.1864 34.2105 56.7316 127.55
$data['id'] 29-12-23 12:00 60 66.6667 74.2938 45.2381 56.402 128.6
$data['id'] 28-12-23 12:00 59 66.6667 71.1864 45.2381 56.5005 128.2
$data['id'] 27-12-23 12:00 60 66.6667 71.7514 45.2381 57.1184 128.2
$data['id'] 22-12-23 12:00 65 66.6667 77.6836 58.6957 57.7187 129.15
$data['id'] 21-12-23 12:00 64 66.6667 75.7062 58.6957 57.4361 129.9
$data['id'] 20-12-23 12:00 65 66.6667 77.6836 60.8696 56.472 129.85
$data['id'] 19-12-23 12:00 66 66.6667 79.9435 63.6364 56.7 129.8
$data['id'] 18-12-23 12:00 67 66.6667 78.5311 66.6667 57.4052 130.2
$data['id'] 15-12-23 12:00 69 66.6667 82.2033 69.5652 57.9154 130.4
$data['id'] 14-12-23 12:00 69 66.6667 83.0508 69.5652 58.7401 130.65
$data['id'] 13-12-23 12:00 83 100 100 69.5652 66.3686 133.75
$data['id'] 12-12-23 12:00 84 100 100 68.1818 71.3531 131.9
$data['id'] 11-12-23 12:00 84 100 98.3819 66.6667 71.5173 130
$data['id'] 08-12-23 12:00 82 100 96.3077 63.0435 69.8094 129.8
$data['id'] 07-12-23 12:00 81 100 100 55.2249 69.0281 129.5
$data['id'] 06-12-23 12:00 79 100 100 55.298 64.0666 129.6
$data['id'] 05-12-23 12:00 77 100 99.7024 55.2387 55.584 129.9
$data['id'] 04-12-23 12:00 77 100 100 55.3121 56.2731 130.1

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.