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PHIA.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 68 83.3333 98.3498 68.1818 23.3425 26.91
$data['id'] 10-02-25 11:00 64 66.6667 95.0495 63.6364 31.1004 26.8
$data['id'] 07-02-25 11:00 64 66.6667 91.7492 68.75 31.8782 26.65
$data['id'] 06-02-25 11:00 69 83.3333 95.7095 64.5833 33.3212 26.59
$data['id'] 05-02-25 11:00 61 83.3333 69.637 61.3636 32.1715 26.15
$data['id'] 04-02-25 11:00 62 83.3333 73.9274 61.3636 31.4992 25.93
$data['id'] 03-02-25 11:00 64 83.3333 74.9175 65.9091 32.6088 26.24
$data['id'] 31-01-25 11:00 74 100 100 70.4545 29.3648 26.68
$data['id'] 30-01-25 11:00 70 83.3333 100 71.7391 27.3101 26.86
$data['id'] 29-01-25 11:00 66 66.6667 100 70.4545 27.0026 26.25
$data['id'] 28-01-25 11:00 65 66.6667 100 67.5 28.6484 26.25
$data['id'] 27-01-25 11:00 64 66.6667 100 64.2857 27.5787 25.97
$data['id'] 24-01-25 11:00 60 50 96.5686 69.0476 26.9842 25.58
$data['id'] 23-01-25 11:00 55 50 80.3921 64.2857 26.9654 25.56
$data['id'] 22-01-25 11:00 65 66.6667 94.6078 72.5 27.1139 25.49
$data['id'] 21-01-25 11:00 53 50 72.549 65.7895 26.9119 25.52
$data['id'] 20-01-25 11:00 53 50 64.7058 71.0526 26.5645 25.32
$data['id'] 17-01-25 11:00 47 50 47.549 64.2857 27.6552 25.17
$data['id'] 16-01-25 11:00 51 50 59.8039 62.5 35.221 24.9
$data['id'] 15-01-25 11:00 41 50 25 62.5 30.1213 24.66
$data['id'] 14-01-25 11:00 49 50 60.2941 63.1579 23.793 24.21
$data['id'] 13-01-25 11:00 50 50 67.647 60.5263 23.6417 25.06
$data['id'] 10-01-25 11:00 50 50 74.0196 54.7619 24.4722 25.32
$data['id'] 09-01-25 11:00 35 50 16.8142 54.7619 21.9047 24.92
$data['id'] 08-01-25 11:00 35 50 16.6107 52.5 22.8077 24.525
$data['id'] 07-01-25 11:00 35 50 16.2752 55.2632 21.9345 24.5
$data['id'] 06-01-25 11:00 34 50 10.5705 55.2632 21.5856 24.64
$data['id'] 03-01-25 11:00 29 33.3333 10.2349 52.5 23.1621 24.37
$data['id'] 02-01-25 11:00 29 33.3333 9.73154 50 23.1087 24.5
$data['id'] 31-12-24 11:00 26 33.3333 8.72484 42.5 23.0804 24.4
$data['id'] 30-12-24 11:00 27 33.3333 10.906 44.7368 22.9225 24.35
$data['id'] 24-12-24 11:00 25 33.3333 9.01504 38.6364 22.5807 24.49
$data['id'] 23-12-24 11:00 24 33.3333 6.84474 35.7143 22.0234 24.35
$data['id'] 20-12-24 11:00 21 16.6667 4.00667 36.9565 26.6579 24.23
$data['id'] 19-12-24 11:00 22 16.6667 4.17362 41.3043 27.1405 24.08
$data['id'] 18-12-24 11:00 22 16.6667 6.01003 41.3043 27.2937 24.23
$data['id'] 17-12-24 11:00 20 16.6667 5.0877 38.6364 23.1304 23.8
$data['id'] 16-12-24 11:00 21 16.6667 4.91226 40.4762 23.1561 24.5
$data['id'] 13-12-24 11:00 24 16.6667 8.59649 50 22.9078 24.5
$data['id'] 12-12-24 11:00 28 33.3333 8.59649 50 22.811 24.59
$data['id'] 11-12-24 11:00 30 33.3333 15.2631 50 21.7511 24.76
$data['id'] 10-12-24 11:00 30 33.3333 14.9123 50 22.6209 25
$data['id'] 09-12-24 11:00 28 33.3333 11.5789 45.2381 22.4229 24.91
$data['id'] 06-12-24 11:00 27 33.3333 11.2281 41.3043 22.4277 24.85
$data['id'] 05-12-24 11:00 27 33.3333 10.7017 41.3043 26.1067 24.76
$data['id'] 04-12-24 11:00 30 33.3333 16.6667 41.3043 31.1806 25.06
$data['id'] 03-12-24 11:00 36 50 23.5087 43.1818 29.8615 25.11
$data['id'] 02-12-24 11:00 33 33.3333 23.3333 45.2381 30.5456 25.63
$data['id'] 29-11-24 11:00 34 33.3333 27.193 47.9167 31.3493 25.74
$data['id'] 28-11-24 11:00 38 33.3333 35.0877 52.0833 32.2916 25.94
$data['id'] 27-11-24 11:00 37 33.3333 28.9474 54.3478 32.0595 25.86
$data['id'] 26-11-24 11:00 38 33.3333 29.6491 52.2727 37.4616 25.74
$data['id'] 25-11-24 11:00 37 33.3333 25.4386 52.2727 37.5924 25.85
$data['id'] 22-11-24 11:00 48 33.3333 18.2456 45.6522 98.4459 25.36
$data['id'] 21-11-24 11:00 48 33.3333 14.0351 47.9167 98.4588 25.11
$data['id'] 20-11-24 11:00 47 33.3333 13.8596 45.6522 98.4456 24.98
$data['id'] 19-11-24 11:00 46 33.3333 7.89472 45.4545 98.4656 24.54
$data['id'] 18-11-24 11:00 47 33.3333 11.2281 47.7273 98.4423 24.51
$data['id'] 15-11-24 11:00 45 33.3333 7.54383 43.75 98.4396 24.58
$data['id'] 14-11-24 11:00 40 16.6667 4.38597 43.75 98.4338 24.6
$data['id'] 13-11-24 11:00 42 16.6667 10.1754 45.6522 98.4206 24.6
$data['id'] 12-11-24 11:00 42 16.6667 10.3508 43.1818 98.424 24.55
$data['id'] 11-11-24 11:00 44 16.6667 14.0351 50 98.3878 24.92
$data['id'] 08-11-24 11:00 44 16.6667 14.2105 50 98.386 24.82
$data['id'] 07-11-24 11:00 46 16.6667 20.3509 50 98.4175 25.5
$data['id'] 06-11-24 11:00 46 16.6667 18.421 52.1739 98.4446 24.58
$data['id'] 05-11-24 11:00 46 16.6667 16.8421 54.5455 98.4326 24.81
$data['id'] 04-11-24 11:00 45 16.6667 16.8421 50 98.4224 25.03
$data['id'] 01-11-24 11:00 36 0 1.9298 45.8333 98.4856 24.52
$data['id'] 31-10-24 11:00 36 0 0 45.8333 98.4775 24.06
$data['id'] 30-10-24 11:00 36 0 0 47.8261 98.4824 24.21
$data['id'] 29-10-24 11:00 40 0 14.3126 50 98.4722 25.15
$data['id'] 28-10-24 11:00 40 16.6667 0 47.619 98.651 24.61
$data['id'] 25-10-24 11:00 57 66.6667 95.082 52.1739 16.3037 29.58
$data['id'] 24-10-24 11:00 63 66.6667 100 56.5217 29.6824 29.73
$data['id'] 23-10-24 11:00 61 66.6667 94.5 54.5455 30.2234 29.65
$data['id'] 22-10-24 11:00 63 66.6667 98.25 59.0909 30.0729 29.8
$data['id'] 21-10-24 11:00 63 66.6667 98.25 57.1429 30.5369 29.6
$data['id'] 18-10-24 11:00 61 66.6667 96.5 50 32.2988 29.48
$data['id'] 17-10-24 11:00 60 66.6667 93.5 47.8261 32.5471 29.56
$data['id'] 16-10-24 11:00 67 83.3333 97.2752 54.5455 33.3151 29.75
$data['id'] 15-10-24 11:00 72 100 100 54.5455 35.6668 29.94
$data['id'] 14-10-24 11:00 67 83.3333 97.8202 54.7619 34.6395 29.38
$data['id'] 11-10-24 11:00 66 83.3333 94.0055 54.3478 34.8681 29.35
$data['id'] 10-10-24 11:00 69 83.3333 100 58.6957 34.4601 29.21
$data['id'] 09-10-24 11:00 61 66.6667 89.3733 54.3478 34.4691 29.5
$data['id'] 08-10-24 11:00 59 66.6667 80.654 52.2727 36.9343 29.1
$data['id'] 07-10-24 11:00 62 66.6667 93.3913 54.7619 36.8581 29.22
$data['id'] 04-10-24 11:00 67 83.3333 95.8261 54.3478 36.3147 29.38
$data['id'] 03-10-24 11:00 67 83.3333 97.5652 54.3478 36.3192 29.21
$data['id'] 02-10-24 11:00 62 66.6667 94.6087 50 36.9377 29.35
$data['id'] 01-10-24 11:00 72 100 100 52.2727 36.1104 29.55
$data['id'] 30-09-24 11:00 72 100 99.4755 52.2727 37.2039 29.4
$data['id'] 27-09-24 11:00 66 83.3333 100 52.0833 30.5177 29.34
$data['id'] 26-09-24 11:00 61 66.6667 98.4479 50 29.0339 28.27
$data['id'] 25-09-24 11:00 53 50 86.6962 47.8261 27.7954 27.94
$data['id'] 24-09-24 11:00 51 50 80.4878 45.4545 29.954 27.46
$data['id'] 23-09-24 11:00 55 66.6667 80.7096 45.4545 29.2418 27.21
$data['id'] 20-09-24 11:00 58 66.6667 87.1397 50 28.2133 27.34
$data['id'] 19-09-24 11:00 60 66.6667 94.6785 54.1667 28.3448 27.86
$data['id'] 18-09-24 11:00 59 66.6667 91.5743 52.1739 27.6361 27.78
$data['id'] 17-09-24 11:00 61 66.6667 100 54.5455 25.166 28.26
$data['id'] 16-09-24 11:00 61 66.6667 99.0244 54.5455 23.9896 27.77
$data['id'] 13-09-24 11:00 62 66.6667 100 60.4167 23.8788 27.8
$data['id'] 12-09-24 11:00 62 66.6667 100 58.3333 23.5417 27.95
$data['id'] 11-09-24 11:00 57 66.6667 85.9259 56.5217 20.9617 27.45
$data['id'] 10-09-24 11:00 57 66.6667 87.5912 54.5455 20.1125 26.88
$data['id'] 09-09-24 11:00 58 66.6667 93.4307 54.5455 20.3473 27.26
$data['id'] 06-09-24 11:00 55 66.6667 81.5085 52.0833 20.7855 27.25
$data['id'] 05-09-24 11:00 59 66.6667 90.2676 60.4167 21.9841 26.98
$data['id'] 04-09-24 11:00 56 66.6667 76.399 58.6957 23.9612 26.88
$data['id'] 03-09-24 11:00 61 66.6667 91.7275 61.3636 25.2786 27.05
$data['id'] 02-09-24 11:00 65 83.3333 94.4039 61.3636 24.7342 27.31
$data['id'] 30-08-24 11:00 66 83.3333 97.8102 60.4167 24.9934 27.21
$data['id'] 29-08-24 11:00 71 100 100 60.4167 24.6451 27.49
$data['id'] 28-08-24 11:00 66 83.3333 100 58.6957 24.3414 27.52
$data['id'] 27-08-24 11:00 61 66.6667 93.883 59.0909 24.404 26.97
$data['id'] 26-08-24 11:00 62 66.6667 94.6809 59.0909 28.3388 26.99
$data['id'] 23-08-24 11:00 67 66.6667 95.4788 58.3333 51.1249 26.98
$data['id'] 22-08-24 11:00 66 66.6667 94.4149 54.1667 51.1446 27
$data['id'] 21-08-24 11:00 61 66.6667 80.3191 47.8261 51.1563 26.7
$data['id'] 20-08-24 11:00 60 66.6667 78.7234 45.4545 51.1618 26.45
$data['id'] 19-08-24 11:00 62 66.6667 81.649 50 51.1783 26.49
$data['id'] 16-08-24 11:00 59 66.6667 74.4681 45.8333 51.1954 26.31
$data['id'] 15-08-24 11:00 61 83.3333 69.9468 41.6667 51.2192 26.22
$data['id'] 14-08-24 11:00 60 83.3333 66.4894 39.1304 51.2292 25.93
$data['id'] 13-08-24 11:00 58 83.3333 63.8298 36.3636 51.2337 25.85
$data['id'] 12-08-24 11:00 61 83.3333 73.9362 36.3636 51.2314 26
$data['id'] 09-08-24 11:00 64 83.3333 83.2447 41.6667 51.2706 26.29
$data['id'] 08-08-24 11:00 63 83.3333 77.3936 43.75 51.2859 26.65
$data['id'] 07-08-24 11:00 64 83.3333 76.5958 45.6522 51.2551 26.7
$data['id'] 06-08-24 11:00 62 83.3333 71.0107 43.1818 51.2571 25.95
$data['id'] 05-08-24 11:00 58 83.3333 59.0426 38.6364 51.2724 25.82
$data['id'] 02-08-24 11:00 64 83.3333 73.6702 47.9167 51.2767 26.11
$data['id'] 01-08-24 11:00 62 83.3333 68.883 47.9167 51.279 25.84
$data['id'] 31-07-24 11:00 65 83.3333 75.7979 50 51.2705 26.2
$data['id'] 30-07-24 11:00 67 83.3333 83.5107 52.2727 51.2738 26.48
$data['id'] 29-07-24 11:00 72 83.3333 100 54.7619 50.682 27.17
$data['id'] 26-07-24 11:00 35 50 14.0496 45.6522 32.1783 23.88
$data['id'] 25-07-24 11:00 36 50 14.0496 50 33.3814 23.93
$data['id'] 24-07-24 11:00 36 50 18.595 45.6522 32.9708 24
$data['id'] 23-07-24 11:00 39 50 28.0991 47.7273 33.0895 23.93
$data['id'] 22-07-24 11:00 41 50 28.5123 50 37.5035 24.25
$data['id'] 19-07-24 11:00 37 50 12.3967 50 35.9507 23.72
$data['id'] 18-07-24 11:00 37 50 13.2231 52.1739 34.0739 24.03
$data['id'] 17-07-24 11:00 34 50 0 52.1739 36.6337 23.69
$data['id'] 16-07-24 11:00 39 50 11.5702 57.1429 39.0112 23.88
$data['id'] 15-07-24 11:00 46 50 46.2809 57.1429 32.3609 24.02
$data['id'] 12-07-24 11:00 47 50 48.7603 56.5217 33.0457 24.63
$data['id'] 11-07-24 11:00 46 50 47.1074 56.5217 32.9772 24.62
$data['id'] 10-07-24 11:00 43 50 38.8429 52.1739 34.2778 24.43
$data['id'] 09-07-24 11:00 53 50 79.4904 50 34.8183 24.31
$data['id'] 08-07-24 11:00 53 50 82.324 47.619 33.456 24.26
$data['id'] 05-07-24 11:00 53 50 80.805 52.1739 32.8953 24.5
$data['id'] 04-07-24 11:00 52 50 80.1145 47.8261 33.3973 24.37
$data['id'] 03-07-24 11:00 49 50 73.3646 43.4783 30.5799 24.08
$data['id'] 02-07-24 11:00 41 33.3333 64.4108 38.0952 30.2553 23.44
$data['id'] 01-07-24 11:00 46 50 67.9435 38.0952 28.8267 23.44
$data['id'] 28-06-24 11:00 47 50 71.8688 37.5 28.7864 23.54
$data['id'] 27-06-24 11:00 48 50 74.8782 41.6667 29.4128 23.99
$data['id'] 26-06-24 11:00 51 50 81.0278 43.4783 33.1387 24.07
$data['id'] 25-06-24 11:00 47 50 77.3642 38.0952 24.9393 23.82
$data['id'] 24-06-24 11:00 48 50 79.8502 40.9091 23.7336 24.61
$data['id'] 21-06-24 11:00 50 50 84.4297 45.8333 23.6768 24.69
$data['id'] 20-06-24 11:00 49 50 82.3362 41.6667 24.1192 24.59
$data['id'] 19-06-24 11:00 44 33.3333 77.1025 41.3043 24.9751 24.11
$data['id'] 18-06-24 11:00 40 33.3333 72.5033 34.0909 23.7425 24.05
$data['id'] 17-06-24 11:00 41 33.3333 73.9036 34.0909 23.8554 23.83
$data['id'] 14-06-24 11:00 48 50 77.2134 43.75 24.8604 24.1
$data['id'] 13-06-24 11:00 49 50 78.2986 43.75 27.6997 24.16
$data['id'] 12-06-24 11:00 49 50 79.3138 43.1818 27.0126 24.5
$data['id'] 07-06-24 11:00 56 66.6667 83.2516 47.9167 29.0303 24.31
$data['id'] 06-06-24 11:00 50 50 79.2817 43.75 28.9089 24.15
$data['id'] 05-06-24 11:00 53 50 79.1576 45.6522 38.7417 24.32
$data['id'] 04-06-24 11:00 58 66.6667 80.6463 47.7273 40.3673 24.38
$data['id'] 03-06-24 11:00 59 66.6667 85.7329 47.7273 39.2241 24.6
$data['id'] 31-05-24 11:00 61 66.6667 89.8269 50 38.5784 24.9
$data['id'] 30-05-24 11:00 62 66.6667 92.1841 52.2727 38.1576 25.27
$data['id'] 29-05-24 11:00 60 66.6667 90.9435 47.7273 38.6537 25.3
$data['id'] 28-05-24 11:00 66 83.3333 92.1841 50 39.2981 25.17
$data['id'] 27-05-24 11:00 62 66.6667 88.3382 42.5 53.7328 24.96
$data['id'] 24-05-24 11:00 62 66.6667 84.4923 43.1818 53.7514 24.91
$data['id'] 23-05-24 11:00 64 66.6667 89.0825 47.7273 53.7677 24.71
$data['id'] 22-05-24 11:00 65 66.6667 89.7029 52.2727 53.7803 25.21
$data['id'] 21-05-24 11:00 70 83.3333 92.06 54.7619 53.7789 25.3
$data['id'] 20-05-24 11:00 73 83.3333 98.1391 57.5 53.753 25.33
$data['id'] 17-05-24 11:00 77 100 100 56.8182 53.7709 25.91
$data['id'] 16-05-24 11:00 74 100 100 52.2727 46.2028 25.395
$data['id'] 15-05-24 11:00 70 100 92.9795 43.1818 46.3592 25.24
$data['id'] 14-05-24 11:00 70 100 92.2774 45.2381 46.3317 25.09
$data['id'] 13-05-24 11:00 71 100 93.5411 47.5 46.3391 25.24
$data['id'] 10-05-24 11:00 70 100 87.9247 47.7273 46.3194 24.87
$data['id'] 09-05-24 11:00 66 100 80.0618 40.9091 46.2938 24.58
$data['id'] 08-05-24 11:00 69 100 84.6953 45.4545 46.3017 24.25
$data['id'] 07-05-24 11:00 72 100 92.627 52.381 46.3231 24.82
$data['id'] 06-05-24 11:00 71 100 91.2616 50 46.3203 24.88
$data['id'] 03-05-24 11:00 72 100 91.9443 50 46.2826 25.01
$data['id'] 02-05-24 11:00 73 100 92.3539 54.5455 46.2802 25.05
$data['id'] 30-04-24 11:00 75 100 96.7231 57.1429 46.2959 25.28
$data['id'] 29-04-24 11:00 76 100 100 60 45.5008 25.32
$data['id'] 26-04-24 11:00 60 50 73.851 54.5455 62.4069 19.79
$data['id'] 25-04-24 11:00 61 50 78.1988 54.5455 64.377 19.275
$data['id'] 24-04-24 11:00 66 50 94.3479 57.1429 65.0543 19.565
$data['id'] 23-04-24 11:00 63 50 81.9255 55 65.3901 19.535
$data['id'] 22-04-24 11:00 54 50 51.8012 50 67.7431 19.175
$data['id'] 19-04-24 11:00 46 50 23.5403 45.4545 66.9392 18.845
$data['id'] 18-04-24 11:00 50 50 35.6522 50 65.5537 18.94
$data['id'] 17-04-24 11:00 58 50 61.1181 57.1429 66.6216 18.98
$data['id'] 16-04-24 11:00 59 50 67.3291 55 66.3758 19.125
$data['id'] 15-04-24 11:00 58 50 63.9131 55 64.0134 19.43
$data['id'] 12-04-24 11:00 62 50 78.4877 59.0909 61.574 19.18
$data['id'] 11-04-24 11:00 52 50 44.7078 50 63.7092 19.115
$data['id'] 10-04-24 11:00 53 50 51.482 54.7619 58.4429 19.06
$data['id'] 09-04-24 11:00 44 50 21.7858 47.5 60.3343 19.015
$data['id'] 08-04-24 11:02 44 50 14.7365 52.5 61.8986 18.94
$data['id'] 05-04-24 11:00 39 33.3333 12.3068 50 60.5182 18.605
$data['id'] 04-04-24 11:00 46 50 24.7919 52.2727 60.7099 19.07
$data['id'] 03-04-24 11:00 39 33.3333 13.3472 50 62.2596 18.875
$data['id'] 02-04-24 11:00 40 33.3333 14.3877 52.5 62.1925 18.56
$data['id'] 28-03-24 11:00 46 50 18.371 56.8182 61.7359 18.618
$data['id'] 27-03-24 11:00 44 50 12.6635 52.2727 62.4299 18.78
$data['id'] 26-03-24 11:00 41 50 4.84484 47.7273 62.7719 18.564
$data['id'] 25-03-24 11:00 42 50 6.15133 50 62.9758 18.39
$data['id'] 22-03-24 11:00 41 50 7.02236 47.7273 62.3498 18.596
$data['id'] 21-03-24 11:00 46 50 19.5706 52.2727 64.137 18.812
$data['id'] 20-03-24 11:00 45 50 22.037 47.7273 63.6309 18.846
$data['id'] 19-03-24 11:00 45 50 25.8401 47.7273 60.1713 19.184
$data['id'] 18-03-24 11:00 45 50 27.5593 45.2381 60.7823 19.09
$data['id'] 15-03-24 11:00 53 66.6667 36.0511 47.7273 63.6855 19.444
$data['id'] 14-03-24 10:00 54 66.6667 39.5936 47.7273 64.6703 19.824
$data['id'] 13-03-24 10:00 47 50 34.0193 43.1818 64.4589 19.806
$data['id'] 12-03-24 10:02 52 66.6667 36.2074 43.1818 63.9721 19.626
$data['id'] 11-03-24 10:02 47 50 29.539 45.2381 64.3532 19.624
$data['id'] 08-03-24 10:00 46 50 23.131 47.7273 64.7093 19.168
$data['id'] 07-03-24 10:00 39 33.3333 14.7955 43.1818 68.4429 19.234
$data['id'] 06-03-24 10:00 38 33.3333 11.8781 38.6364 68.6789 18.754
$data['id'] 05-03-24 10:00 37 33.3333 9.11697 43.1818 63.5764 18.656
$data['id'] 04-03-24 12:00 38 33.3333 13.7015 45.2381 63.3598 18.72
$data['id'] 01-03-24 12:00 39 33.3333 13.0763 47.7273 63.5573 18.768
$data['id'] 29-02-24 12:00 36 33.3333 8.6481 39.5833 64.4163 18.454
$data['id'] 28-02-24 12:00 37 33.3333 12.7117 41.3043 63.4216 18.498
$data['id'] 27-02-24 12:00 35 33.3333 9.06485 34.0909 63.7254 18.622
$data['id'] 26-02-24 12:00 31 16.6667 10.0026 34.0909 63.5454 18.554
$data['id'] 23-02-24 12:00 29 16.6667 10.211 35.4167 55.7553 18.676
$data['id'] 22-02-24 12:00 34 33.3333 11.253 35.4167 56.1012 18.66
$data['id'] 21-02-24 12:00 23 0 0 32.6087 60.1538 18.202
$data['id'] 20-02-24 12:00 31 16.6667 11.4961 34.0909 61.9556 18.68
$data['id'] 19-02-24 12:00 32 16.6667 13.9135 38.6364 62.0203 18.86
$data['id'] 16-02-24 12:00 31 16.6667 14.1821 35.4167 59.8872 18.86
$data['id'] 15-02-24 12:00 31 16.6667 14.4507 35.4167 60.0398 18.864
$data['id'] 14-02-24 12:00 26 0 10.2068 32.6087 61.9771 18.58
$data['id'] 13-02-24 12:00 32 16.6667 15.4177 34.0909 62.7392 18.782
$data['id'] 12-02-24 12:00 35 16.6667 22.9385 38.6364 62.2758 19.148
$data['id'] 09-02-24 12:00 33 16.6667 21.1657 35.4167 62.4263 19.034
$data['id'] 08-02-24 12:00 28 0 16.2772 35.4167 63.5791 18.922
$data['id'] 07-02-24 12:00 36 16.6667 26.0542 36.9565 66.496 19.048
$data['id'] 06-02-24 12:00 36 16.6667 27.5047 34.0909 67.9448 19.538
$data['id'] 05-02-24 12:00 38 16.6667 30.137 38.6364 67.6569 19.474
$data['id'] 02-02-24 12:00 42 33.3333 30.9428 43.75 63.5532 19.328
$data['id'] 01-02-24 12:00 42 33.3333 30.8891 41.3043 62.943 19.496
$data['id'] 31-01-24 12:00 43 33.3333 38.3024 43.1818 60.9761 19.804
$data['id'] 30-01-24 12:00 46 33.3333 46.4142 45.2381 60.241 19.924
$data['id'] 29-01-24 12:00 43 33.3333 38.7859 50 52.985 20.055
$data['id'] 26-01-24 12:00 56 33.3333 69.9167 52.2727 69.0992 20.965
$data['id'] 25-01-24 12:00 60 50 70.9911 50 69.2841 21.085
$data['id'] 24-01-24 12:02 65 50 84.2868 57.5 70.4799 21.155
$data['id'] 23-01-24 12:02 69 66.6667 84.9584 55.2632 70.6528 21.38
$data['id'] 22-01-24 12:00 68 66.6667 84.9584 55.2632 67.4668 21.555
$data['id'] 19-01-24 12:00 68 66.6667 84.9584 54.7619 68.6169 21.285
$data['id'] 18-01-24 12:00 67 66.6667 87.9129 54.7619 61.6351 21.46
$data['id'] 17-01-24 12:00 64 66.6667 79.4521 52.5 59.6003 21.425
$data['id'] 16-01-24 12:00 67 66.6667 87.2645 55.2632 60.5827 21.51
$data['id'] 15-01-24 12:00 65 66.6667 90.7385 55.2632 49.9541 21.845
$data['id'] 12-01-24 12:00 68 66.6667 97.8856 59.5238 49.9726 21.885
$data['id'] 11-01-24 12:00 68 66.6667 98.6646 59.5238 49.9781 21.835
$data['id'] 10-01-24 12:00 71 83.3333 96.3496 57.5 49.9686 21.86
$data['id'] 09-01-24 12:00 76 100 99.7829 55.2632 49.9615 22.015
$data['id'] 08-01-24 12:00 72 83.3333 100 55.2632 49.9815 21.975
$data['id'] 05-01-24 12:00 68 83.3333 95.6489 45.2381 49.9551 21.495
$data['id'] 04-01-24 12:14 68 83.3333 94.4058 45.2381 49.9191 21.28
$data['id'] 03-01-24 12:00 67 83.3333 94.1571 42.5 49.9731 20.81
$data['id'] 02-01-24 12:00 68 83.3333 96.7678 44.7368 49.9827 21.29
$data['id'] 29-12-23 12:00 68 83.3333 93.4113 47.619 49.9817 21.035
$data['id'] 28-12-23 12:00 67 83.3333 90.6763 45.2381 49.8344 21.135
$data['id'] 27-12-23 12:00 67 83.3333 91.9194 45.2381 49.8298 20.94
$data['id'] 22-12-23 12:00 67 83.3333 85.455 50 49.8354 20.985
$data['id'] 21-12-23 12:00 68 83.3333 89.0602 50 49.8716 20.77
$data['id'] 20-12-23 12:00 75 100 99.3784 54.3478 49.9147 21.375
$data['id'] 19-12-23 12:00 76 100 100 56.8182 49.9901 21.405
$data['id'] 18-12-23 12:00 64 50 100 54.7619 51.95 20.66
$data['id'] 15-12-23 12:00 68 66.6667 100 54.3478 52.2679 20.05
$data['id'] 14-12-23 12:00 66 50 100 54.3478 62.3058 20.28
$data['id'] 13-12-23 12:00 60 50 68.386 54.3478 70.0078 19.076
$data['id'] 12-12-23 12:00 61 50 68.0533 56.8182 69.6638 18.786
$data['id'] 11-12-23 12:00 57 50 60.8985 54.7619 65.9525 18.774
$data['id'] 08-12-23 12:00 56 50 56.406 54.3478 66.8187 18.808
$data['id'] 07-12-23 12:00 48 33.3333 43.9268 49.537 67.4876 18.332
$data['id'] 06-12-23 12:00 48 33.3333 42.8453 49.6026 67.3348 18.36
$data['id'] 05-12-23 12:00 50 33.3333 52.6622 49.6684 68.0024 18.482
$data['id'] 04-12-23 12:00 58 50 66.7221 49.7344 68.678 18.814

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.