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HEIA.AS Stock Data

Download HEIA.AS GF Data (.xslx)
id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 11-02-25 11:00 61 66.6667 73.1707 56.8182 50.0947 67.94
$data['id'] 10-02-25 11:00 54 50 64.939 52.2727 50.3808 68.58
$data['id'] 07-02-25 11:00 62 50 56.5868 43.75 99.5052 67.96
$data['id'] 06-02-25 11:00 53 33.3333 41.0179 43.75 97.5746 67.2
$data['id'] 05-02-25 11:00 46 33.3333 12.8743 43.1818 98.59 64.94
$data['id'] 04-02-25 11:00 49 33.3333 22.1556 43.1818 99.2152 65.5
$data['id'] 03-02-25 11:00 50 33.3333 23.8764 47.7273 98.7089 66.24
$data['id'] 31-01-25 11:00 61 50 45.5026 52.2727 98.7003 67.2
$data['id'] 30-01-25 11:00 55 33.3333 38.8888 50 98.8039 67.62
$data['id'] 29-01-25 11:00 56 33.3333 40.874 52.2727 98.7737 67.22
$data['id'] 28-01-25 11:00 58 33.3333 53.0457 52.5 97.1121 67.96
$data['id'] 27-01-25 11:00 49 16.6667 32.4873 50 99.4874 67.36
$data['id'] 24-01-25 11:00 47 16.6667 24.0825 50 99.2731 66.14
$data['id'] 23-01-25 11:00 47 16.6667 20.4128 54.7619 99.3465 65.66
$data['id'] 22-01-25 11:00 49 16.6667 23.702 57.5 99.2919 65.86
$data['id'] 21-01-25 11:00 48 16.6667 21.6704 55.2632 99.0309 66.08
$data['id'] 20-01-25 11:00 48 16.6667 23.0923 55.2632 99.1188 66.46
$data['id'] 17-01-25 11:00 44 16.6667 16.3776 45.2381 99.6589 66.06
$data['id'] 16-01-25 11:00 27 16.6667 8.4063 37.5 48.4615 65.2
$data['id'] 15-01-25 11:00 19 0 0 32.5 44.4488 63.9
$data['id'] 14-01-25 11:00 26 16.6667 4.21585 39.4737 46.3591 64.16
$data['id'] 13-01-25 11:00 20 0 0 34.2105 47.609 64.62
$data['id'] 10-01-25 11:00 23 16.6667 0 40.4762 37.1751 65.28
$data['id'] 09-01-25 11:00 25 16.6667 0.165598 50 37.1397 67.26
$data['id'] 08-01-25 11:00 25 16.6667 2.18489 47.5 35.8855 67.6
$data['id'] 07-01-25 11:00 32 33.3333 8.06722 50 38.2931 68.62
$data['id'] 06-01-25 11:00 24 16.6667 0 44.7368 38.3533 68.02
$data['id'] 03-01-25 11:00 29 33.3333 3.50878 42.5 37.5628 67.8
$data['id'] 02-01-25 11:00 28 33.3333 1.92983 40.4762 37.613 68.9
$data['id'] 31-12-24 11:00 27 33.3333 0.175476 37.5 38.2624 68.7
$data['id'] 30-12-24 11:00 29 33.3333 6.66668 39.4737 36.7202 68.34
$data['id'] 24-12-24 11:00 28 33.3333 3.33338 43.1818 35.836 68.46
$data['id'] 23-12-24 11:00 27 33.3333 0 40.4762 37.6619 68.28
$data['id'] 20-12-24 11:00 25 16.6667 3.88003 45.6522 36.5612 68.3
$data['id'] 19-12-24 11:00 30 33.3333 2.64546 45.6522 39.9517 69.1
$data['id'] 18-12-24 11:00 34 33.3333 15.1675 50 38.3256 69.62
$data['id'] 17-12-24 11:00 33 33.3333 14.2857 47.7273 39.4604 69.86
$data['id'] 16-12-24 11:00 34 33.3333 13.0511 50 40.2981 70.26
$data['id'] 13-12-24 11:00 36 33.3333 17.813 54.3478 39.7986 70.32
$data['id'] 12-12-24 11:00 34 33.3333 16.0494 50 39.6451 70.06
$data['id'] 11-12-24 11:00 32 33.3333 12.1693 45.6522 37.7458 69.36
$data['id'] 10-12-24 11:00 33 33.3333 14.6264 45.2381 40.225 69.88
$data['id'] 09-12-24 11:00 25 16.6667 6.99521 40.4762 37.7079 69.58
$data['id'] 06-12-24 11:00 26 16.6667 7.79011 45.6522 37.8179 69.22
$data['id'] 05-12-24 11:00 18 0 0 41.3043 33.5093 68.36
$data['id'] 04-12-24 11:00 19 0 0 41.3043 34.7183 68.76
$data['id'] 03-12-24 11:00 30 33.3333 5.91395 43.1818 39.4199 69.82
$data['id'] 02-12-24 11:00 24 16.6667 1.97134 40.4762 37.9247 70.42
$data['id'] 29-11-24 11:00 23 16.6667 2.46913 35.4167 38.6763 69.96
$data['id'] 28-11-24 11:00 24 16.6667 7.58378 35.4167 39.7509 70.04
$data['id'] 27-11-24 11:00 23 16.6667 5.78231 32.6087 40.5474 70.06
$data['id'] 26-11-24 11:00 18 0 0 29.5455 45.3693 69.68
$data['id'] 25-11-24 11:00 26 16.6667 11.076 34.0909 45.0498 70.84
$data['id'] 22-11-24 11:00 19 0 0 36.9565 40.233 70.7
$data['id'] 21-11-24 11:00 18 0 0 35.4167 40.23 69.84
$data['id'] 20-11-24 11:00 19 0 0 36.9565 41.6417 70.32
$data['id'] 19-11-24 11:00 34 0 0 38.6364 99.4296 71.06
$data['id'] 18-11-24 11:00 33 0 0 34.0909 99.6376 71.5
$data['id'] 15-11-24 11:00 35 0 1.40102 39.5833 99.5251 71.08
$data['id'] 14-11-24 11:00 35 0 0 41.6667 99.5736 71.86
$data['id'] 13-11-24 11:00 35 0 0 41.3043 99.0043 71.56
$data['id'] 12-11-24 11:00 36 0 1.84506 43.1818 99.18 71.94
$data['id'] 11-11-24 11:00 41 16.6667 7.19563 43.1818 98.7367 72.68
$data['id'] 08-11-24 11:00 36 0 2.95203 43.75 98.9085 72.38
$data['id'] 07-11-24 11:00 41 16.6667 8.85615 43.75 98.4733 72.9
$data['id'] 06-11-24 11:00 22 0 0 41.3043 48.6796 72.04
$data['id'] 05-11-24 11:00 41 16.6667 1.86484 47.7273 99.9727 74.16
$data['id'] 04-11-24 11:00 40 16.6667 0 47.7273 99.0241 74.54
$data['id'] 01-11-24 11:00 45 33.3333 0 47.9167 98.8382 75.48
$data['id'] 31-10-24 11:00 45 33.3333 0 47.9167 99.0691 75.26
$data['id'] 30-10-24 11:00 49 50 0.318418 50 99.676 76.18
$data['id'] 29-10-24 11:00 49 50 46.8152 56.8182 44.0056 78.4
$data['id'] 28-10-24 11:00 47 50 44.9045 50 45.3315 79.7
$data['id'] 25-10-24 11:00 41 33.3333 35.3503 50 48.1142 79.44
$data['id'] 24-10-24 11:00 50 33.3333 65.9236 50 52.5874 79.76
$data['id'] 23-10-24 11:00 51 33.3333 26.1146 47.7273 99.6601 78.88
$data['id'] 22-10-24 11:00 33 33.3333 8.59874 43.1818 49.8916 77.18
$data['id'] 21-10-24 11:00 37 33.3333 23.8854 45.2381 49.1036 77.54
$data['id'] 18-10-24 11:00 46 16.6667 28.6624 43.1818 98.3832 78.32
$data['id'] 17-10-24 11:00 45 16.6667 24.2038 41.3043 98.675 78.24
$data['id'] 16-10-24 11:00 45 33.3333 10.1911 38.6364 98.698 77.48
$data['id'] 15-10-24 11:00 45 33.3333 11.7834 38.6364 98.647 77.78
$data['id'] 14-10-24 11:00 43 33.3333 4.777 35.7143 98.7922 77.02
$data['id'] 11-10-24 11:00 43 33.3333 6.36945 36.9565 98.7781 77.06
$data['id'] 10-10-24 11:00 38 16.6667 0 36.9565 98.9842 76.72
$data['id'] 09-10-24 11:00 40 16.6667 9.83604 36.9565 98.91 77.58
$data['id'] 08-10-24 11:00 37 16.6667 0.365041 34.0909 99.7428 77.14
$data['id'] 07-10-24 11:00 27 16.6667 7.91477 35.7143 49.2243 78.86
$data['id'] 04-10-24 11:00 39 16.6667 5.93606 36.9565 99.8532 78.22
$data['id'] 03-10-24 11:00 41 16.6667 7.91477 41.3043 99.3308 78.46
$data['id'] 02-10-24 11:00 43 16.6667 11.5678 45.6522 98.8312 78.72
$data['id'] 01-10-24 11:00 43 16.6667 13.8508 43.1818 99.105 78.68
$data['id'] 30-09-24 11:00 48 33.3333 16.895 43.1818 99.2318 79.42
$data['id'] 27-09-24 11:00 36 33.3333 19.6347 47.9167 46.8201 80.82
$data['id'] 26-09-24 11:00 29 16.6667 10.6545 47.9167 44.2443 79
$data['id'] 25-09-24 11:00 25 16.6667 0 45.6522 39.4402 77.68
$data['id'] 24-09-24 11:00 22 0 0 47.7273 41.9719 78.18
$data['id'] 23-09-24 11:00 27 16.6667 0 52.2727 40.822 78.7
$data['id'] 20-09-24 11:00 33 33.3333 8.7108 56.25 37.2952 79.36
$data['id'] 19-09-24 11:00 40 50 18.4669 56.25 36.5349 80.98
$data['id'] 18-09-24 11:00 39 50 17.7701 54.3478 34.7457 80.36
$data['id'] 17-09-24 11:00 44 50 27.5261 61.3636 37.9193 81.36
$data['id'] 16-09-24 11:00 43 50 24.0418 61.3636 38.6946 82.24
$data['id'] 13-09-24 11:00 47 50 33.9722 68.75 36.8868 82.16
$data['id'] 12-09-24 11:00 45 50 28.3972 68.75 36.6299 83.18
$data['id'] 11-09-24 11:00 38 33.3333 22.8223 63.0435 36.3873 82.48
$data['id'] 10-09-24 11:00 42 33.3333 29.2683 70.4545 36.7488 82.12
$data['id'] 09-09-24 11:00 38 33.3333 20.5575 65.9091 35.3246 82
$data['id'] 06-09-24 11:00 40 33.3333 26.8608 68.75 31.2247 81.52
$data['id'] 05-09-24 11:00 38 33.3333 21.7514 64.5833 34.6405 82.34
$data['id'] 04-09-24 11:00 34 33.3333 11.297 58.6957 34.2728 81.5
$data['id'] 03-09-24 11:00 36 33.3333 16.5969 61.3636 34.7354 81.3
$data['id'] 02-09-24 11:00 34 33.3333 11.4365 56.8182 35.7044 81.22
$data['id'] 30-08-24 11:00 37 33.3333 20 60.4167 38.1929 81.6
$data['id'] 29-08-24 11:00 37 33.3333 19.0411 60.4167 38.2012 81.94
$data['id'] 28-08-24 11:00 37 33.3333 17.5342 58.6957 38.9026 81.76
$data['id'] 27-08-24 11:00 35 33.3333 12.6876 56.8182 37.4015 81.52
$data['id'] 26-08-24 11:00 32 33.3333 7.81051 52.2727 36.8415 80.54
$data['id'] 23-08-24 11:00 43 33.3333 6.53007 52.0833 83.1253 79.96
$data['id'] 22-08-24 11:00 42 33.3333 7.21272 47.9167 82.979 79.8
$data['id'] 21-08-24 11:00 38 16.6667 2.20049 50 83.3368 80.44
$data['id'] 20-08-24 11:00 34 0 3.19801 52.2727 83.4053 79.44
$data['id'] 19-08-24 11:00 43 33.3333 4.55103 52.2727 83.3561 79.78
$data['id'] 16-08-24 11:00 38 16.6667 1.96802 52.0833 83.2621 79.62
$data['id'] 15-08-24 11:00 34 0 2.82902 52.0833 83.2735 79.7
$data['id'] 14-08-24 11:00 34 0 4.67406 50 83.0816 79.84
$data['id'] 13-08-24 11:00 31 0 0 43.1818 83.0351 79.58
$data['id'] 12-08-24 11:00 32 0 0.504425 47.7273 82.949 79.5
$data['id'] 09-08-24 11:00 34 0 5.13481 47.9167 83.057 79.92
$data['id'] 08-08-24 11:00 33 0 2.9525 47.9167 83.0879 80.88
$data['id'] 07-08-24 11:00 32 0 0 45.6522 83.3246 80.44
$data['id'] 06-08-24 11:00 32 0 0 47.7273 83.2169 80
$data['id'] 05-08-24 11:00 32 0 0 47.7273 83.035 79.88
$data['id'] 02-08-24 11:00 33 0 0 50 83.2591 81.46
$data['id'] 01-08-24 11:00 34 0 2.69884 52.0833 83.2685 81.4
$data['id'] 31-07-24 11:00 35 0 4.84523 54.3478 83.1251 82.02
$data['id'] 30-07-24 11:00 35 0 7.10528 52.2727 82.8758 82.68
$data['id'] 29-07-24 11:00 35 0 0 50 91.1941 81.82
$data['id'] 26-07-24 11:00 29 33.3333 13.5802 45.6522 25.5469 90.92
$data['id'] 25-07-24 11:00 27 33.3333 7.16052 41.3043 27.9716 89.42
$data['id'] 24-07-24 11:00 29 33.3333 9.13578 41.3043 33.0576 89.1
$data['id'] 23-07-24 11:00 30 33.3333 13.0865 43.1818 32.9987 89.54
$data['id'] 22-07-24 11:00 35 33.3333 24.4445 45.2381 37.7228 90.2
$data['id'] 19-07-24 11:00 31 33.3333 14.0741 45.6522 34.6513 89.38
$data['id'] 18-07-24 11:00 34 33.3333 20.7407 45.6522 36.9349 89.86
$data['id'] 17-07-24 11:00 24 16.6667 3.45678 41.3043 36.3408 89.86
$data['id'] 16-07-24 11:00 24 16.6667 0 40.4762 38.8589 88.62
$data['id'] 15-07-24 11:00 25 16.6667 7.2682 40.4762 38.4708 89.12
$data['id'] 12-07-24 11:00 26 16.6667 7.01752 41.3043 39.1444 89.36
$data['id'] 11-07-24 11:00 29 16.6667 14.787 45.6522 40.6315 89.7
$data['id'] 10-07-24 11:00 25 16.6667 4.01002 41.3043 39.5949 89.16
$data['id'] 09-07-24 11:00 25 16.6667 2.50623 38.6364 42.4925 88.74
$data['id'] 08-07-24 11:00 23 16.6667 0.560237 35.7143 41.3096 88.66
$data['id'] 05-07-24 11:00 28 16.6667 11.2045 45.6522 41.542 89.84
$data['id'] 04-07-24 11:00 29 16.6667 14.0056 45.6522 42.0043 90.4
$data['id'] 03-07-24 11:00 28 16.6667 9.80399 45.6522 42.4029 90.16
$data['id'] 02-07-24 11:00 43 16.6667 17.931 40.4762 98.6372 89.94
$data['id'] 01-07-24 11:00 44 16.6667 23.4483 40.4762 98.7854 89.92
$data['id'] 28-06-24 11:00 56 33.3333 48.847 43.75 99.1925 90.32
$data['id'] 27-06-24 11:00 61 50 55.6008 39.5833 99.9638 91.54
$data['id'] 26-06-24 11:00 53 50 70.4685 45.6522 49.1956 93.58
$data['id'] 25-06-24 11:00 60 50 53.7679 40.4762 99.6549 93.7
$data['id'] 24-06-24 11:00 51 50 62.7292 43.1818 50.1878 92.68
$data['id'] 21-06-24 11:00 51 50 66.5988 39.5833 49.9731 93.24
$data['id'] 20-06-24 11:00 47 50 58.4522 35.4167 48.0109 93.92
$data['id'] 19-06-24 11:00 46 50 54.3789 32.6087 48.0879 92.62
$data['id'] 18-06-24 11:00 48 50 59.2668 34.0909 49.1521 92.72
$data['id'] 17-06-24 11:00 56 66.6667 70.8758 38.6364 47.8851 93.98
$data['id'] 14-06-24 11:00 58 66.6667 77.8004 43.75 46.7562 94.6
$data['id'] 13-06-24 11:00 60 66.6667 84.9288 43.75 47.6303 94.22
$data['id'] 12-06-24 11:00 60 66.6667 81.4664 47.7273 46.9273 95.7
$data['id'] 07-06-24 11:00 56 50 76.4357 52.0833 47.1674 94.38
$data['id'] 06-06-24 11:00 60 50 85.8527 56.25 48.4103 94.68
$data['id'] 05-06-24 11:00 44 33.3333 55.7351 54.3478 33.8722 93.8
$data['id'] 04-06-24 11:00 44 33.3333 49.6 52.2727 41.7625 90.86
$data['id'] 03-06-24 11:00 50 50 60 52.2727 41.7018 91.28
$data['id'] 31-05-24 11:00 54 66.6667 60.16 50 42.8973 92.06
$data['id'] 30-05-24 11:00 56 66.6667 66.4 52.2727 42.1813 91.72
$data['id'] 29-05-24 11:00 56 66.6667 65.92 52.2727 42.8263 92.18
$data['id'] 28-05-24 11:00 60 66.6667 80.64 54.7619 38.7378 93.5
$data['id'] 27-05-24 11:00 66 83.3333 83.36 62.5 38.5171 94.66
$data['id'] 24-05-24 11:00 65 83.3333 82.08 54.5455 42.2135 94.84
$data['id'] 23-05-24 11:00 66 83.3333 84 56.8182 41.8832 94.58
$data['id'] 22-05-24 11:00 68 83.3333 90.88 56.8182 43.6208 94.9
$data['id'] 21-05-24 11:00 74 100 96.64 59.5238 43.109 96.34
$data['id'] 20-05-24 11:00 76 100 100 62.5 44.8747 96.66
$data['id'] 17-05-24 11:00 78 100 100 65.9091 46.6336 96.24
$data['id'] 16-05-24 11:00 69 66.6667 99.0619 61.3636 52.7457 95.22
$data['id'] 15-05-24 11:00 68 66.6667 95.7576 56.8182 52.8209 94.68
$data['id'] 14-05-24 11:00 69 66.6667 98.5859 59.5238 51.5498 94.04
$data['id'] 13-05-24 11:00 70 66.6667 100 62.5 51.0553 94.14
$data['id'] 10-05-24 11:00 72 83.3333 100 56.8182 51.1895 93.68
$data['id'] 09-05-24 11:00 72 83.3333 100 56.8182 51.4799 93.42
$data['id'] 08-05-24 11:00 72 83.3333 98.1395 56.8182 51.2181 92.52
$data['id'] 07-05-24 11:00 61 66.6667 68.1395 54.7619 56.4283 90.8
$data['id'] 06-05-24 11:00 62 66.6667 71.6279 52.5 58.0782 89.92
$data['id'] 03-05-24 11:00 62 66.6667 76.5116 52.2727 56.3844 90.58
$data['id'] 02-05-24 11:00 61 66.6667 74.1861 47.7273 56.3725 90.34
$data['id'] 30-04-24 11:00 61 66.6667 79.0697 45.2381 55.7653 91.02
$data['id'] 29-04-24 11:00 69 83.3333 87.4418 52.5 55.6921 91.12
$data['id'] 26-04-24 11:00 77 100 97.9821 52.2727 58.9364 91.46
$data['id'] 25-04-24 11:00 68 83.3333 84.4721 47.7273 57.8078 92.7
$data['id'] 24-04-24 11:00 64 83.3333 71.4836 50 54.8324 92.34
$data['id'] 23-04-24 11:00 64 83.3333 63.7655 52.5 56.4554 90.66
$data['id'] 22-04-24 11:00 52 50 53.6412 52.5 53.3417 91.08
$data['id'] 19-04-24 11:00 49 50 41.563 52.2727 55.825 89.62
$data['id'] 18-04-24 11:00 48 50 34.9911 52.2727 55.5976 88.24
$data['id'] 17-04-24 11:00 45 50 25.5773 50 56.6915 87.02
$data['id'] 16-04-24 11:00 44 50 24.8668 47.5 54.5202 86.8
$data['id'] 15-04-24 11:00 46 50 32.8597 47.5 54.8446 87.66
$data['id'] 12-04-24 11:00 51 66.6667 38.8988 47.7273 51.9172 87.86
$data['id'] 11-04-24 11:00 51 66.6667 33.9254 52.2727 52.3846 88
$data['id'] 10-04-24 11:00 51 66.6667 36.7673 50 51.8884 88.02
$data['id'] 09-04-24 11:00 48 66.6667 29.4849 47.5 52.0996 87.72
$data['id'] 08-04-24 11:02 42 50 24.334 42.5 52.2607 87.06
$data['id'] 05-04-24 11:00 45 50 30.5506 50 53.1505 86.98
$data['id'] 04-04-24 11:00 48 50 36.4121 52.2727 53.6354 88.26
$data['id'] 03-04-24 11:00 50 50 43.6945 54.7619 54.2625 88.02
$data['id'] 02-04-24 11:00 55 66.6667 46.1812 57.5 51.6695 88.94
$data['id'] 28-03-24 11:00 50 50 48.6679 52.2727 51.7831 89.38
$data['id'] 27-03-24 11:00 45 33.3333 47.6021 52.2727 50.26 89.64
$data['id'] 26-03-24 11:00 40 33.3333 21.8473 52.2727 55.6953 88.78
$data['id'] 25-03-24 11:00 39 33.3333 19.8935 50 55.521 86.74
$data['id'] 22-03-24 11:00 35 33.3333 9.76915 43.1818 55.3993 86.48
$data['id'] 21-03-24 11:00 34 33.3333 2.30908 43.1818 57.6019 84.42
$data['id'] 20-03-24 11:00 33 33.3333 0.71558 43.1818 56.0794 84.3
$data['id'] 19-03-24 11:00 33 33.3333 0.536651 43.1818 56.3843 84.56
$data['id'] 18-03-24 11:00 32 33.3333 1.35922 40.4762 56.1262 84.5
$data['id'] 15-03-24 11:00 35 33.3333 6.79609 47.7273 55.7681 85.78
$data['id'] 14-03-24 10:00 40 33.3333 19.0291 52.2727 57.2955 85.98
$data['id'] 13-03-24 10:00 32 16.6667 10.6796 47.7273 53.876 87.18
$data['id'] 12-03-24 10:02 33 33.3333 12.4272 47.7273 41.6453 86.76
$data['id'] 11-03-24 10:02 33 33.3333 13.2038 45.2381 41.6861 86.12
$data['id'] 08-03-24 10:00 30 16.6667 16.5048 47.7273 41.6114 86.76
$data['id'] 07-03-24 10:00 27 16.6667 6.99023 43.1818 41.7864 86.98
$data['id'] 06-03-24 10:00 27 16.6667 10.4854 43.1818 41.4773 86.3
$data['id'] 05-03-24 10:00 31 33.3333 8.73781 43.1818 41.4881 86.2
$data['id'] 04-03-24 12:00 27 16.6667 7.96117 45.2381 41.6946 86.7
$data['id'] 01-03-24 12:00 26 16.6667 0 47.7273 41.686 85.16
$data['id'] 29-02-24 12:00 26 16.6667 0 47.9167 41.3269 85.56
$data['id'] 28-02-24 12:00 27 16.6667 0 50 41.5154 86.52
$data['id'] 27-02-24 12:00 29 16.6667 6.14653 52.2727 41.3826 87.32
$data['id'] 26-02-24 12:00 28 16.6667 3.84615 52.2727 41.8728 87.2
$data['id'] 23-02-24 12:00 33 16.6667 23.0769 52.0833 41.9473 89.08
$data['id'] 22-02-24 12:00 32 16.6667 21.3942 52.0833 41.6264 89.36
$data['id'] 21-02-24 12:00 32 16.6667 21.2617 50 41.6439 88.12
$data['id'] 20-02-24 12:00 33 16.6667 28.0738 47.7273 41.8494 88.26
$data['id'] 19-02-24 12:00 38 16.6667 49.5496 47.7273 41.8651 89.66
$data['id'] 16-02-24 12:00 39 33.3333 39.4594 43.75 42.125 88.76
$data['id'] 15-02-24 12:00 37 33.3333 32.3383 39.5833 42.7537 88.5
$data['id'] 14-02-24 12:00 36 33.3333 33.4992 36.9565 43.2787 87.26
$data['id'] 13-02-24 12:00 63 66.6667 86.6562 38.6364 61.7388 93.12
$data['id'] 12-02-24 12:00 65 66.6667 91.2088 43.1818 62.5911 93.8
$data['id'] 09-02-24 12:00 74 83.3333 98.7441 52.0833 64.0271 94.74
$data['id'] 08-02-24 12:00 76 83.3333 100 56.25 64.7004 95.3
$data['id'] 07-02-24 12:00 75 83.3333 100 58.6957 58.8084 94.82
$data['id'] 06-02-24 12:00 67 66.6667 94.2446 52.2727 58.8063 94.72
$data['id'] 05-02-24 12:00 70 66.6667 100 56.8182 59.6631 93.84
$data['id'] 02-02-24 12:00 67 66.6667 100 47.9167 56.1469 93.16
$data['id'] 01-02-24 12:00 66 66.6667 93.1482 45.6522 61.0857 92.16
$data['id'] 31-01-24 12:00 66 66.6667 95.0001 43.1818 61.2768 93.4
$data['id'] 30-01-24 12:00 69 66.6667 99.2593 50 60.7149 93.1
$data['id'] 29-01-24 12:00 65 66.6667 88.7038 45.2381 61.2188 93
$data['id'] 26-01-24 12:00 63 66.6667 80.9259 43.1818 63.0429 91.88
$data['id'] 25-01-24 12:00 60 66.6667 72.5926 40.4762 64.1448 90.8
$data['id'] 24-01-24 12:02 64 66.6667 78.7037 47.5 64.2079 90.96
$data['id'] 23-01-24 12:02 63 66.6667 78.1482 44.7368 63.4637 91.06
$data['id'] 22-01-24 12:00 64 66.6667 78.3334 50 62.8487 91.56
$data['id'] 19-01-24 12:00 66 66.6667 82.5926 54.7619 62.4974 91.52
$data['id'] 18-01-24 12:00 67 66.6667 82.2222 54.7619 64.706 91.16
$data['id'] 17-01-24 12:00 68 66.6667 86.8519 57.5 64.5313 92.26
$data['id'] 16-01-24 12:00 72 66.6667 96.2963 60.5263 67.3664 93.22
$data['id'] 15-01-24 12:00 77 83.3333 100 65.7895 58.9611 93.14
$data['id'] 12-01-24 12:00 70 66.6667 97.6699 59.5238 57.6836 93.08
$data['id'] 11-01-24 12:00 73 66.6667 100 64.2857 61.4761 92.7
$data['id'] 10-01-24 12:00 69 66.6667 86.354 62.5 63.121 91
$data['id'] 09-01-24 12:00 67 66.6667 79.7441 60.5263 63.1785 91
$data['id'] 08-01-24 12:00 64 66.6667 76.1194 55.2632 61.3797 90.04
$data['id'] 05-01-24 12:00 62 66.6667 66.951 59.5238 56.5315 89.54
$data['id'] 04-01-24 12:14 70 66.6667 88.1607 66.6667 61.0248 90.2
$data['id'] 03-01-24 12:00 77 83.3333 96.1945 70 61.3008 90.74
$data['id'] 02-01-24 12:00 74 83.3333 88.1607 68.4211 59.5819 90.8
$data['id'] 29-12-23 12:00 82 100 97.4684 71.4286 61.4144 91.86
$data['id'] 28-12-23 12:00 81 100 99.7891 66.6667 60.504 91.9
$data['id'] 27-12-23 12:00 79 100 98.2533 61.9048 59.5306 92
$data['id'] 22-12-23 12:00 78 100 96.272 60.8696 58.3464 91.78
$data['id'] 21-12-23 12:00 78 100 92.9825 60.8696 58.234 90.98
$data['id'] 20-12-23 12:00 80 100 100 65.2174 58.4268 91.92
$data['id'] 19-12-23 12:00 80 100 100 63.6364 56.9964 91.26
$data['id'] 18-12-23 12:00 76 100 91.1364 57.1429 56.2811 90.92
$data['id'] 15-12-23 12:00 76 100 96.591 52.1739 56.5706 90.76
$data['id'] 14-12-23 12:00 76 100 100 52.1739 55.1217 91.2
$data['id'] 13-12-23 12:00 69 83.3333 92.473 47.8261 55.8424 88.84
$data['id'] 12-12-23 12:00 72 83.3333 100 50 55.921 87.84
$data['id'] 11-12-23 12:00 72 83.3333 100 52.381 56.0395 87.66
$data['id'] 08-12-23 12:00 68 66.6667 100 52.1739 55.9975 87.48
$data['id'] 07-12-23 12:00 64 66.6667 91.5611 49.7355 51.8017 86.9
$data['id'] 06-12-23 12:00 50 50 45.9916 49.6026 56.074 85.7
$data['id'] 05-12-23 12:00 46 50 31.6456 49.5358 55.4035 84.36
$data['id'] 04-12-23 12:00 43 33.3333 34.5992 49.6016 57.4011 84.36

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.