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AKZA.AS Stock Data

Download AKZA.AS GF Data (.xslx)
id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 06-09-24 11:00 64 66.6667 91.6364 68.75 30.6004 57.64
$data['id'] 05-09-24 11:00 63 66.6667 88.3636 68.75 28.3942 58.2
$data['id'] 04-09-24 11:00 61 66.6667 80.7273 67.3913 30.3507 57.44
$data['id'] 03-09-24 11:00 67 66.6667 100 75 29.3189 57.72
$data['id'] 02-09-24 11:00 59 66.6667 76 65.9091 30.7397 57.9
$data['id'] 30-08-24 11:00 62 66.6667 69.6203 64.5833 48.0281 57.82
$data['id'] 29-08-24 11:00 60 66.6667 63.2911 64.5833 46.9188 57.28
$data['id'] 28-08-24 11:00 58 66.6667 54.4304 63.0435 48.4202 56.66
$data['id'] 27-08-24 11:00 60 66.6667 60.1266 65.9091 49.0615 56.7
$data['id'] 26-08-24 11:00 55 66.6667 46.519 61.3636 48.5135 56.42
$data['id'] 23-08-24 11:00 50 50 42.3977 60.4167 47.9103 56.16
$data['id'] 22-08-24 11:00 39 33.3333 22.8205 56.25 45.7929 55.08
$data['id'] 21-08-24 11:00 44 16.6667 12.0513 50 99.1058 54.64
$data['id'] 20-08-24 11:00 43 16.6667 11.6789 47.7273 98.7203 53.96
$data['id'] 19-08-24 11:00 43 16.6667 9.35412 52.2727 97.3858 54.1
$data['id'] 16-08-24 11:00 43 16.6667 7.8261 52.0833 96.2592 53.58
$data['id'] 15-08-24 11:00 41 16.6667 0.608533 52.0833 95.7073 53.64
$data['id'] 14-08-24 11:00 41 16.6667 0.956008 54.3478 95.5259 53.06
$data['id'] 13-08-24 11:00 40 16.6667 0 50 95.1897 53.38
$data['id'] 12-08-24 11:00 40 16.6667 1.48976 47.7273 95.1687 53.36
$data['id'] 09-08-24 11:00 42 16.6667 6.33148 52.0833 94.7779 53.56
$data['id'] 08-08-24 11:00 39 16.6667 0 47.9167 94.3259 53.46
$data['id'] 07-08-24 11:00 41 16.6667 5.71431 50 93.7271 54.12
$data['id'] 06-08-24 11:00 40 16.6667 0.927665 52.2727 93.9366 53.76
$data['id'] 05-08-24 11:00 39 16.6667 0 47.7273 94.4611 53.72
$data['id'] 02-08-24 11:00 47 33.3333 2.91478 56.25 95.6377 55.9
$data['id'] 01-08-24 11:00 49 33.3333 8.52016 60.4167 95.8075 56.06
$data['id'] 31-07-24 11:00 57 50 23.1788 63.0435 95.6593 57.24
$data['id'] 30-07-24 11:00 50 33.3333 10.9243 61.3636 95.2933 56.96
$data['id'] 29-07-24 11:00 50 33.3333 11.9748 59.5238 95.2621 56.72
$data['id'] 26-07-24 11:00 48 33.3333 14.2857 50 95.2937 57.04
$data['id'] 25-07-24 11:00 47 33.3333 6.21116 54.3478 96.6704 56.96
$data['id'] 24-07-24 11:00 45 33.3333 0 50 96.8429 55.84
$data['id'] 23-07-24 11:00 45 33.3333 0.8368 52.2727 96.2594 56.54
$data['id'] 22-07-24 11:00 51 33.3333 20.5021 54.7619 98.7547 58.62
$data['id'] 19-07-24 11:00 38 33.3333 18.6192 54.3478 46.8475 57
$data['id'] 18-07-24 11:00 52 33.3333 23.0126 54.3478 99.0576 58.76
$data['id'] 17-07-24 11:00 51 33.3333 17.7824 54.3478 99.0471 58.32
$data['id'] 16-07-24 11:00 48 33.3333 12.5523 50 98.8085 57.72
$data['id'] 15-07-24 11:00 50 33.3333 19.4561 50 99.2037 57.6
$data['id'] 12-07-24 11:00 49 33.3333 14.226 50 99.5858 58.34
$data['id'] 11-07-24 11:00 46 33.3333 5.64855 47.8261 98.4274 57.14
$data['id'] 10-07-24 11:00 39 16.6667 0.41842 43.4783 98.4462 56.34
$data['id'] 09-07-24 11:00 46 33.3333 8.36819 45.4545 98.7403 56.24
$data['id'] 08-07-24 11:00 48 33.3333 14.0167 47.619 98.7943 57.26
$data['id'] 05-07-24 11:00 47 33.3333 14.226 43.4783 98.7044 57.48
$data['id'] 04-07-24 11:00 46 33.3333 15.272 39.1304 98.6711 57.54
$data['id'] 03-07-24 11:00 39 16.6667 7.07634 34.7826 99.4497 57.52
$data['id'] 02-07-24 11:00 19 0 0 28.5714 49.6371 56.36
$data['id'] 01-07-24 11:00 19 0 0 28.5714 49.0533 56.1
$data['id'] 28-06-24 11:00 21 0 0.804847 37.5 49.4952 56.62
$data['id'] 27-06-24 11:00 33 0 0 33.3333 99.9871 56.92
$data['id'] 26-06-24 11:00 38 16.6667 3.55649 34.7826 99.9373 57.84
$data['id'] 25-06-24 11:00 20 0 1.50861 33.3333 48.7664 57.34
$data['id'] 24-06-24 11:00 20 0 0 31.8182 48.2595 57.88
$data['id'] 21-06-24 11:00 25 16.6667 11.3379 33.3333 41.7785 57.62
$data['id'] 20-06-24 11:00 26 16.6667 14.059 33.3333 41.1995 59.36
$data['id'] 19-06-24 11:00 19 0 9.61969 30.4348 39.6963 58.66
$data['id'] 18-06-24 11:00 17 0 4.45436 27.2727 38.1768 59.02
$data['id'] 17-06-24 11:00 17 0 3.125 31.8182 36.2383 58.54
$data['id'] 14-06-24 11:00 12 0 0 25 26.0168 57.82
$data['id'] 13-06-24 11:00 13 0 0 29.1667 23.162 60.16
$data['id'] 12-06-24 11:00 13 0 0 29.5455 23.6396 60.68
$data['id'] 07-06-24 11:00 30 33.3333 10.6889 39.5833 37.6308 62.02
$data['id'] 06-06-24 11:00 37 50 17.8147 43.75 38.9314 62.42
$data['id'] 05-06-24 11:00 38 50 24.4656 41.3043 37.0476 63.12
$data['id'] 04-06-24 11:00 41 50 28.9787 47.7273 37.5374 63.8
$data['id'] 03-06-24 11:00 43 50 29.4537 52.2727 41.6916 64.18
$data['id'] 31-05-24 11:00 40 50 25.1781 45.6522 41.8143 63.98
$data['id'] 30-05-24 11:00 41 50 23.0404 47.7273 45.0933 63.96
$data['id'] 29-05-24 11:00 43 50 29.2161 50 44.878 63.5
$data['id'] 28-05-24 11:00 44 50 32.3041 50 44.3252 64.14
$data['id'] 27-05-24 11:00 45 50 33.9668 52.5 45.9909 64.64
$data['id'] 24-05-24 11:00 44 50 33.4917 47.7273 47.3081 64.5
$data['id'] 23-05-24 11:00 44 50 32.5415 47.7273 48.0356 64.5
$data['id'] 22-05-24 11:00 43 50 26.1283 47.7273 49.8942 64.12
$data['id'] 21-05-24 11:00 56 50 33.2542 50 92.0655 64.56
$data['id'] 20-05-24 11:00 63 66.6667 40.8551 52.5 92.0784 65.28
$data['id'] 17-05-24 11:00 61 50 41.0926 61.3636 92.0773 64.84
$data['id'] 16-05-24 11:00 52 66.6667 39.4299 61.3636 41.9812 65
$data['id'] 15-05-24 11:00 53 66.6667 44.8931 61.3636 41.9466 65.42
$data['id'] 14-05-24 11:00 49 50 39.6674 64.2857 42.2984 65.78
$data['id'] 13-05-24 11:00 39 16.6667 37.0547 62.5 41.8956 64.48
$data['id'] 10-05-24 11:00 35 16.6667 26.1283 56.8182 43.2039 62.92
$data['id'] 09-05-24 11:00 36 16.6667 25.8907 61.3636 43.1206 64.12
$data['id'] 08-05-24 11:00 42 33.3333 32.7791 61.3636 43.1035 63.92
$data['id'] 07-05-24 11:00 39 33.3333 23.5154 59.5238 43.5618 64.52
$data['id'] 06-05-24 11:00 34 16.6667 19.2399 57.5 43.678 63.18
$data['id'] 03-05-24 11:00 29 16.6667 11.639 47.7273 43.2173 63
$data['id'] 02-05-24 11:00 29 16.6667 3.91202 52.2727 43.7786 61.92
$data['id'] 30-04-24 11:00 27 16.6667 1.22252 47.619 43.4344 62.04
$data['id'] 29-04-24 11:00 26 16.6667 0 47.5 43.3245 61.74
$data['id'] 26-04-24 11:00 29 16.6667 8.55747 47.7273 43.4926 63.04
$data['id'] 25-04-24 11:00 28 16.6667 2.30179 52.2727 43.047 61.92
$data['id'] 24-04-24 11:00 29 16.6667 10.9975 50 41.8646 62.32
$data['id'] 23-04-24 11:00 27 16.6667 0 47.5 44.6753 62.6
$data['id'] 22-04-24 11:00 45 50 29.2182 52.5 49.7354 67.02
$data['id'] 19-04-24 11:00 27 16.6667 0 43.1818 49.2442 66.18
$data['id'] 18-04-24 11:00 31 16.6667 11.6667 47.7273 49.7557 66.34
$data['id'] 17-04-24 11:00 43 50 30.0001 45.2381 48.2017 65.94
$data['id'] 16-04-24 11:00 35 50 1.04525 42.5 49.8351 65.28
$data['id'] 15-04-24 11:00 39 50 9.75606 47.5 49.7848 65.9
$data['id'] 12-04-24 11:00 40 50 19.1637 43.1818 49.9399 65.46
$data['id'] 11-04-24 11:00 40 50 17.77 43.1818 51.053 66.02
$data['id'] 10-04-24 11:00 44 50 33.8815 45.2381 49.888 66.58
$data['id'] 09-04-24 11:00 41 50 22.3684 42.5 50.3493 66.68
$data['id'] 08-04-24 11:02 41 50 24.3422 42.5 50.243 66.96
$data['id'] 05-04-24 11:00 45 50 31.5789 50 49.9148 67.3
$data['id'] 04-04-24 11:00 63 66.6667 75.6578 52.2727 58.5546 69.04
$data['id'] 03-04-24 11:00 50 50 50 45.2381 58.3141 69.22
$data['id'] 02-04-24 11:00 61 66.6667 67.7632 52.5 57.8475 68.94
$data['id'] 28-03-24 11:00 53 50 60.1974 47.7273 57.7567 69.36
$data['id'] 27-03-24 11:00 53 50 54.9341 47.7273 61.943 70
$data['id'] 26-03-24 11:00 48 50 30.5921 47.7273 66.9931 69.1
$data['id'] 25-03-24 11:00 41 33.3333 17.7632 47.619 65.3879 67.68
$data['id'] 22-03-24 11:00 40 33.3333 23.0263 50 56.9132 66.76
$data['id'] 21-03-24 11:00 41 33.3333 22.0394 52.2727 56.8397 67.12
$data['id'] 20-03-24 11:00 39 33.3333 16.1185 52.2727 57.425 66.5
$data['id'] 19-03-24 11:00 38 33.3333 13.1579 47.7273 57.8992 66.48
$data['id'] 18-03-24 11:00 30 16.6667 1.97373 45.2381 58.595 65.86
$data['id'] 15-03-24 11:00 33 33.3333 0 43.1818 58.7762 65.56
$data['id'] 14-03-24 10:00 32 16.6667 5.24589 52.2727 57.0206 65.84
$data['id'] 13-03-24 10:00 31 16.6667 1.01268 52.2727 54.6223 65.98
$data['id'] 12-03-24 10:02 35 33.3333 3.35574 52.2727 53.8389 66.22
$data['id'] 11-03-24 10:02 35 33.3333 7.96461 50 49.3263 65.92
$data['id'] 08-03-24 10:00 30 16.6667 5.30977 52.2727 49.2872 66.62
$data['id'] 07-03-24 10:00 28 16.6667 1.32746 47.7273 49.3593 66.52
$data['id'] 06-03-24 10:00 33 33.3333 2.80371 47.7273 49.2691 66.32
$data['id'] 05-03-24 10:00 32 33.3333 0.240436 47.7273 48.6183 66.54
$data['id'] 04-03-24 12:00 34 33.3333 7.6923 50 48.3131 67
$data['id'] 01-03-24 12:00 36 33.3333 12.5 50 48.488 67.96
$data['id'] 29-02-24 12:00 35 33.3333 15.625 45.8333 48.6594 67.6
$data['id'] 28-02-24 12:00 33 33.3333 9.61542 43.4783 48.7137 67.9
$data['id'] 27-02-24 12:00 29 16.6667 8.41352 45.4545 49.2355 67.8
$data['id'] 26-02-24 12:00 28 16.6667 5.95528 40.9091 52.2015 66.68
$data['id'] 23-02-24 12:00 38 33.3333 20.3474 45.8333 54.0966 68.54
$data['id'] 22-02-24 12:00 30 16.6667 13.6476 41.6667 51.3004 68.3
$data['id'] 21-02-24 12:00 33 16.6667 16.6253 47.8261 51.1273 68
$data['id'] 20-02-24 12:00 30 16.6667 9.9256 45.4545 49.0718 67.88
$data['id'] 19-02-24 12:00 34 16.6667 20.8437 50 49.3881 68.88
$data['id'] 16-02-24 12:00 40 33.3333 27.7915 50 49.6037 68.96
$data['id'] 15-02-24 12:00 32 16.6667 18.8585 45.8333 49.889 68.58
$data['id'] 14-02-24 12:00 29 16.6667 5.2109 43.4783 51.8404 67.4
$data['id'] 13-02-24 12:00 28 16.6667 0 40.9091 57.5564 66.92
$data['id'] 12-02-24 12:00 39 50 5.86416 40.9091 59.9994 68.9
$data['id'] 09-02-24 12:00 36 50 0 37.5 60.1821 68.46
$data['id'] 08-02-24 12:00 37 50 3.34443 37.5 60.4092 68.74
$data['id'] 07-02-24 12:00 43 50 20.4014 39.1304 64.311 69.6
$data['id'] 06-02-24 12:00 47 50 30.3226 40.9091 68.9872 71.14
$data['id'] 05-02-24 12:00 44 50 26.875 34.0909 68.9122 70.46
$data['id'] 02-02-24 12:00 50 50 47.5155 35.4167 69.0862 70.54
$data['id'] 01-02-24 12:00 48 50 40.3727 32.6087 69.6799 71.04
$data['id'] 31-01-24 12:00 50 50 49.711 34.0909 67.4787 71.36
$data['id'] 30-01-24 12:00 46 50 43.6416 30.9524 61.624 71.06
$data['id'] 29-01-24 12:00 45 50 42.1965 30.9524 59.8366 71.14
$data['id'] 26-01-24 12:00 51 50 63.6986 34.0909 59.3752 71.72
$data['id'] 25-01-24 12:00 45 33.3333 53.0066 30.9524 64.6898 70.38
$data['id'] 24-01-24 12:02 45 33.3333 46.3251 32.5 68.5895 70.76
$data['id'] 23-01-24 12:02 39 16.6667 41.3223 28.9474 71.4739 69.26
$data['id'] 22-01-24 12:00 41 16.6667 49.3892 28.9474 71.9936 68.82
$data['id'] 19-01-24 12:00 42 16.6667 52.5306 30.9524 71.4566 69.06
$data['id'] 18-01-24 12:00 39 16.6667 47.2949 26.1905 66.0477 69.24
$data['id'] 17-01-24 12:00 39 16.6667 49.5637 27.5 64.9755 69.06
$data['id'] 16-01-24 12:00 45 33.3333 54.6875 28.9474 65.0459 69.58
$data['id'] 15-01-24 12:00 44 33.3333 60.892 28.9474 55.5968 70.12
$data['id'] 12-01-24 12:00 48 33.3333 66.1765 40.4762 55.1838 70.58
$data['id'] 11-01-24 12:00 48 33.3333 65.1961 40.4762 55.6401 70.32
$data['id'] 10-01-24 12:00 46 33.3333 60.5519 37.5 55.8294 70.14
$data['id'] 09-01-24 12:00 48 33.3333 66.5185 39.4737 55.8374 70.54
$data['id'] 08-01-24 12:00 49 33.3333 64.5926 44.7368 54.5403 70.56
$data['id'] 05-01-24 12:00 55 50 64.1482 54.7619 53.6895 70.82
$data['id'] 04-01-24 12:14 64 66.6667 75.5556 59.5238 56.2872 71.18
$data['id'] 03-01-24 12:00 67 66.6667 81.3334 62.5 58.9349 71.86
$data['id'] 02-01-24 12:00 73 66.6667 96.5926 65.7895 64.8549 73.76
$data['id'] 29-12-23 12:00 80 83.3333 100 73.8095 65.7741 74.82
$data['id'] 28-12-23 12:00 84 100 100 73.8095 65.5544 74.86
$data['id'] 27-12-23 12:00 83 100 99.4057 69.0476 65.3759 74.68
$data['id'] 22-12-23 12:00 84 100 100 71.7391 65.5477 74.66
$data['id'] 21-12-23 12:00 78 83.3333 95.8395 71.7391 64.9403 74.64
$data['id'] 20-12-23 12:00 86 100 100 80.4348 66.0072 74.74
$data['id'] 19-12-23 12:00 86 100 100 79.5455 66.8951 74.76
$data['id'] 18-12-23 12:00 86 100 96.6463 78.5714 72.0232 73.36
$data['id'] 15-12-23 12:00 85 100 98.6111 71.7391 71.751 74.48
$data['id'] 14-12-23 12:00 86 100 100 76.087 69.8063 74.32
$data['id'] 13-12-23 12:00 87 100 98.3871 76.087 76.3541 72.14
$data['id'] 12-12-23 12:00 87 100 99.4623 75 75.2105 72.2
$data['id'] 11-12-23 12:00 84 100 96.8693 73.8095 66.1191 72.52
$data['id'] 08-12-23 12:00 85 100 100 76.087 67.1818 72.28
$data['id'] 07-12-23 12:00 75 83.3333 100 52.1164 65.8935 72.16
$data['id'] 06-12-23 12:00 78 100 99.7992 51.9205 63.7393 71.54
$data['id'] 05-12-23 12:00 73 83.3333 99.3827 51.9894 58.8181 71.38
$data['id'] 04-12-23 12:00 77 100 100 52.0584 58.8073 71

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.