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AD.AS Stock Data

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id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 06-09-24 11:00 62 66.6667 90.3646 68.75 22.9169 31.07
$data['id'] 05-09-24 11:00 70 83.3333 94.5312 68.75 33.5358 31.14
$data['id'] 04-09-24 11:00 70 83.3333 95.3125 67.3913 34.4534 31.18
$data['id'] 03-09-24 11:00 81 100 100 70.4545 54.3008 31.37
$data['id'] 02-09-24 11:00 80 100 100 65.9091 54.483 31.15
$data['id'] 30-08-24 11:00 74 83.3333 100 60.4167 55.589 30.96
$data['id'] 29-08-24 11:00 74 83.3333 100 60.4167 55.6856 30.89
$data['id'] 28-08-24 11:00 69 66.6667 98.4127 58.6957 55.7472 30.74
$data['id'] 27-08-24 11:00 68 66.6667 93.0159 56.8182 55.7539 30.62
$data['id'] 26-08-24 11:00 70 83.3333 87.3016 56.8182 55.7136 30.32
$data['id'] 23-08-24 11:00 65 66.6667 84.127 56.25 55.7051 30.17
$data['id'] 22-08-24 11:00 64 66.6667 82.8572 52.0833 56.1984 30.1
$data['id'] 21-08-24 11:00 60 66.6667 73.0159 45.6522 57.0924 30.09
$data['id'] 20-08-24 11:00 62 66.6667 78.4127 47.7273 57.191 30
$data['id'] 19-08-24 11:00 65 66.6667 85.0794 52.2727 57.5586 30.18
$data['id'] 16-08-24 11:00 63 66.6667 78.4127 52.0833 58.0525 30.07
$data['id'] 15-08-24 11:00 63 66.6667 71.1111 56.25 58.0428 30.15
$data['id'] 14-08-24 11:00 60 66.6667 67.3016 50 59.0078 29.79
$data['id'] 13-08-24 11:00 58 66.6667 61.2699 47.7273 59.8686 29.65
$data['id'] 12-08-24 11:00 59 66.6667 64.4445 47.7273 59.8421 29.73
$data['id'] 09-08-24 11:00 62 66.6667 72.0635 52.0833 59.784 29.83
$data['id'] 08-08-24 11:00 72 83.3333 90.7937 56.25 58.3816 30.39
$data['id'] 07-08-24 11:00 70 66.6667 100 58.6957 56.4991 30.74
$data['id'] 06-08-24 11:00 61 66.6667 73.0769 56.8182 50.9355 29.2
$data['id'] 05-08-24 11:00 64 66.6667 79.0598 61.3636 50.5954 29.34
$data['id'] 02-08-24 11:00 73 83.3333 95.7265 68.75 47.9894 29.88
$data['id'] 01-08-24 11:00 67 66.6667 91.453 64.5833 47.6446 29.69
$data['id'] 31-07-24 11:00 75 83.3333 100 71.7391 46.4532 29.82
$data['id'] 30-07-24 11:00 68 66.6667 93.421 65.9091 47.2527 29.98
$data['id'] 29-07-24 11:00 74 83.3333 98.6842 69.0476 47.52 29.85
$data['id'] 26-07-24 11:00 69 83.3333 82.0175 63.0435 47.6814 29.79
$data['id'] 25-07-24 11:00 67 83.3333 76.7544 58.6957 50.0487 29.29
$data['id'] 24-07-24 11:00 65 83.3333 76.7544 54.3478 46.8525 29.86
$data['id'] 23-07-24 11:00 76 100 100 61.3636 44.4398 29.55
$data['id'] 22-07-24 11:00 74 100 93.392 59.5238 43.6388 29.85
$data['id'] 19-07-24 11:00 73 100 94.7136 58.6957 41.6964 29.47
$data['id'] 18-07-24 11:00 61 83.3333 71.8061 54.3478 37.7378 29.74
$data['id'] 17-07-24 11:00 51 66.6667 52.8635 54.3478 33.9977 29.24
$data['id'] 16-07-24 11:00 43 50 39.6476 50 35.2652 28.68
$data['id'] 15-07-24 11:00 48 50 55.0661 54.7619 32.3943 28.61
$data['id'] 12-07-24 11:00 47 50 53.3039 54.3478 32.4606 28.83
$data['id'] 11-07-24 11:00 51 50 67.8414 54.3478 34.0792 28.86
$data['id'] 10-07-24 11:00 42 50 40.5286 54.3478 26.9896 28.78
$data['id'] 09-07-24 11:00 40 50 29.956 52.2727 28.3897 28.17
$data['id'] 08-07-24 11:00 40 50 33.9207 50 29.5158 28.24
$data['id'] 05-07-24 11:00 33 33.3333 26.8723 45.6522 28.6715 28.11
$data['id'] 04-07-24 11:00 31 33.3333 19.3833 45.6522 28.2066 28.06
$data['id'] 03-07-24 11:00 30 33.3333 12.7753 41.3043 32.661 27.96
$data['id'] 02-07-24 11:00 30 33.3333 19.1177 40.4762 28.2219 27.74
$data['id'] 01-07-24 11:00 33 33.3333 27.5735 40.4762 31.1149 27.92
$data['id'] 28-06-24 11:00 34 33.3333 31.0345 43.75 28.3812 27.59
$data['id'] 27-06-24 11:00 35 33.3333 37.4593 43.75 28.6782 27.8
$data['id'] 26-06-24 11:00 37 33.3333 42.0195 45.6522 27.6871 27.9
$data['id'] 25-06-24 11:00 38 33.3333 47.678 45.2381 29.225 28.03
$data['id'] 24-06-24 11:00 41 33.3333 51.0836 52.2727 29.5422 28.19
$data['id'] 21-06-24 11:00 36 33.3333 45.5109 39.5833 29.1765 28.25
$data['id'] 20-06-24 11:00 38 33.3333 46.4396 43.75 29.1499 28.13
$data['id'] 19-06-24 11:00 39 33.3333 48.6068 45.6522 31.9597 28.2
$data['id'] 18-06-24 11:00 39 33.3333 47.3684 47.7273 31.2306 28.21
$data['id'] 17-06-24 11:00 34 16.6667 44.582 43.1818 31.5839 28.08
$data['id'] 14-06-24 11:00 37 16.6667 48.2972 52.0833 33.1403 28.11
$data['id'] 13-06-24 11:00 33 16.6667 38.6997 45.8333 31.0981 28.03
$data['id'] 12-06-24 11:00 38 33.3333 44.8916 43.1818 33.5356 27.9
$data['id'] 07-06-24 11:00 41 33.3333 45.8205 52.0833 35.0016 28.06
$data['id'] 06-06-24 11:00 42 33.3333 40.2477 56.25 41.1911 28.15
$data['id'] 05-06-24 11:00 53 50 65.3251 58.6957 40.2407 28.67
$data['id'] 04-06-24 11:00 53 50 60.6811 56.8182 46.8311 28.62
$data['id'] 03-06-24 11:00 51 33.3333 67.1826 56.8182 47.3789 28.68
$data['id'] 31-05-24 11:00 47 33.3333 61.3003 50 46.4484 28.58
$data['id'] 30-05-24 11:00 51 50 59.7523 47.7273 46.5978 28.6
$data['id'] 29-05-24 11:00 53 50 65.0155 52.2727 47.5079 28.63
$data['id'] 28-05-24 11:00 60 66.6667 71.8266 54.7619 48.0541 28.79
$data['id'] 27-05-24 11:00 62 66.6667 76.161 57.5 47.7945 29.04
$data['id'] 24-05-24 11:00 61 66.6667 67.4922 61.3636 49.4413 28.94
$data['id'] 23-05-24 11:00 67 83.3333 77.3993 61.3636 47.3169 29.11
$data['id'] 22-05-24 11:00 70 83.3333 89.7833 65.9091 44.568 29.49
$data['id'] 21-05-24 11:00 69 83.3333 85.1393 64.2857 45.2977 29.55
$data['id'] 20-05-24 11:00 69 83.3333 82.6625 65 45.1919 29.46
$data['id'] 17-05-24 11:00 70 83.3333 81.4241 70.4545 45.4836 29.3
$data['id'] 16-05-24 11:00 62 66.6667 66.5635 65.9091 51.6656 29.2
$data['id'] 15-05-24 11:00 71 83.3333 79.257 65.9091 56.0063 29.09
$data['id'] 14-05-24 11:00 81 100 96.2848 69.0476 60.4826 29.6
$data['id'] 13-05-24 11:00 83 100 100 72.5 60.5644 29.92
$data['id'] 10-05-24 11:00 79 100 100 68.1818 49.8156 29.69
$data['id'] 09-05-24 11:00 80 100 100 68.1818 52.8855 29.43
$data['id'] 08-05-24 11:00 77 100 100 63.6364 47.5879 28.93
$data['id'] 07-05-24 11:00 71 83.3333 83.4254 61.9048 58.0448 28.29
$data['id'] 06-05-24 11:00 73 83.3333 87.2927 65 56.5104 28.1
$data['id'] 03-05-24 11:00 72 83.3333 88.3977 63.6364 53.9515 28.13
$data['id'] 02-05-24 11:00 73 83.3333 91.7127 63.6364 55.1551 28.25
$data['id'] 30-04-24 11:00 76 83.3333 100 66.6667 56.5725 28.43
$data['id'] 29-04-24 11:00 72 66.6667 100 65 56.5115 28.13
$data['id'] 26-04-24 11:00 65 50 94.2029 61.3636 56.9466 28.03
$data['id'] 25-04-24 11:00 64 50 88.4058 61.3636 56.4994 27.83
$data['id'] 24-04-24 11:00 66 50 94.2029 64.2857 55.8558 27.72
$data['id'] 23-04-24 11:00 66 50 94.2029 65 55.1901 27.92
$data['id'] 22-04-24 11:00 61 50 79.6839 60 56.5247 27.61
$data['id'] 19-04-24 11:00 55 50 60.2709 54.5455 57.5631 27.35
$data['id'] 18-04-24 11:00 56 50 58.465 59.0909 57.2694 27.15
$data['id'] 17-04-24 11:00 56 50 66.14 57.1429 53.9951 26.99
$data['id'] 16-04-24 11:00 53 50 52.596 55 56.0411 26.82
$data['id'] 15-04-24 11:00 51 50 41.3093 55 58.6568 26.95
$data['id'] 12-04-24 11:00 52 50 47.6298 50 63.2633 26.64
$data['id'] 11-04-24 11:00 61 50 73.3634 56.8182 66.3294 27.35
$data['id'] 10-04-24 11:00 61 50 78.7811 54.7619 63.7096 27.27
$data['id'] 09-04-24 11:00 57 50 66.5914 52.5 62.5926 27.23
$data['id'] 08-04-24 11:02 54 50 56.2077 52.5 57.8338 27.35
$data['id'] 05-04-24 11:00 65 50 89.1892 59.5238 64.0041 27.65
$data['id'] 04-04-24 11:00 68 50 100 61.3636 62.668 27.96
$data['id'] 03-04-24 11:00 67 50 96.8442 59.5238 63.6331 27.89
$data['id'] 02-04-24 11:00 67 50 90.927 62.5 65.1731 27.68
$data['id'] 28-03-24 11:00 63 50 84.8126 52.2727 65.2848 27.71
$data['id'] 27-03-24 11:00 63 50 81.6568 56.8182 64.9222 27.57
$data['id'] 26-03-24 11:00 60 50 67.2584 56.8182 67.1178 27.48
$data['id'] 25-03-24 11:00 60 50 72.3866 54.7619 66.6758 27.15
$data['id'] 22-03-24 11:00 61 50 71.4004 56.8182 66.5922 27.27
$data['id'] 21-03-24 11:00 58 50 62.9191 52.2727 67.5199 27.24
$data['id'] 20-03-24 11:00 57 50 65.4832 47.7273 68.1162 27.1
$data['id'] 19-03-24 11:00 53 33.3333 63.5109 47.7273 68.4696 27.24
$data['id'] 18-03-24 11:00 64 66.6667 73.9645 50 69.1047 27.17
$data['id'] 15-03-24 11:00 65 66.6667 73.1755 56.8182 66.8328 27.545
$data['id'] 14-03-24 10:00 73 66.6667 94.4773 65.9091 65.5721 27.635
$data['id'] 13-03-24 10:00 71 66.6667 89.7436 65.9091 65.1951 27.76
$data['id'] 12-03-24 10:02 66 66.6667 82.643 61.3636 56.2255 27.82
$data['id'] 11-03-24 10:02 70 66.6667 99.211 59.5238 56.6718 27.58
$data['id'] 08-03-24 10:00 69 66.6667 99.795 56.8182 56.6988 27.94
$data['id'] 07-03-24 10:00 68 66.6667 92.7473 56.8182 57.5165 28
$data['id'] 06-03-24 10:00 68 66.6667 94.0659 56.8182 55.6567 27.66
$data['id'] 05-03-24 10:00 64 66.6667 84.8352 52.2727 53.3932 27.44
$data['id'] 04-03-24 12:00 71 83.3333 93.6264 54.7619 53.1079 27.495
$data['id'] 01-03-24 12:00 74 83.3333 98.4615 61.3636 53.3391 27.485
$data['id'] 29-02-24 12:00 70 83.3333 92.967 52.0833 53.4803 27.505
$data['id'] 28-02-24 12:00 72 83.3333 100 54.3478 53.1251 27.785
$data['id'] 27-02-24 12:00 68 83.3333 87.8587 47.7273 53.1339 27.7
$data['id'] 26-02-24 12:00 70 83.3333 92.936 52.2727 53.4915 27.555
$data['id'] 23-02-24 12:00 68 83.3333 86.3135 52.0833 52.6405 27.605
$data['id'] 22-02-24 12:00 71 83.3333 96.9095 52.0833 54.0627 27.7
$data['id'] 21-02-24 12:00 71 83.3333 96.0265 54.3478 53.1868 27.63
$data['id'] 20-02-24 12:00 73 83.3333 100 56.8182 53.0818 27.8
$data['id'] 19-02-24 12:00 73 83.3333 100 56.8182 52.9748 27.435
$data['id'] 16-02-24 12:00 65 66.6667 90.0552 52.0833 54.9888 27.23
$data['id'] 15-02-24 12:00 62 66.6667 79.5581 47.9167 54.0057 26.86
$data['id'] 14-02-24 12:00 59 66.6667 79.8343 45.6522 45.376 26.67
$data['id'] 13-02-24 12:00 51 50 52.4862 47.7273 54.4025 25.89
$data['id'] 12-02-24 12:00 50 50 51.1049 47.7273 54.0114 26.285
$data['id'] 09-02-24 12:00 48 50 41.4365 47.9167 54.6641 26.2
$data['id'] 08-02-24 12:00 41 33.3333 37.2928 43.75 53.2314 26.165
$data['id'] 07-02-24 12:00 39 33.3333 25.9668 41.3043 55.5972 25.785
$data['id'] 06-02-24 12:00 32 16.6667 18.7845 43.1818 53.0293 26.05
$data['id'] 05-02-24 12:00 45 33.3333 44.1989 47.7273 54.7992 26.22
$data['id'] 02-02-24 12:00 43 33.3333 38.9503 47.9167 54.6981 26.135
$data['id'] 01-02-24 12:00 41 33.3333 29.8342 45.6522 57.4674 25.83
$data['id'] 31-01-24 12:00 42 16.6667 42.2652 52.2727 56.8048 26.045
$data['id'] 30-01-24 12:00 42 33.3333 34.5304 50 53.9751 26.105
$data['id'] 29-01-24 12:00 38 16.6667 32.8729 54.7619 49.5598 26.12
$data['id'] 26-01-24 12:00 37 16.6667 32.8729 50 49.3333 25.965
$data['id'] 25-01-24 12:00 36 16.6667 28.7293 52.381 49.9163 25.855
$data['id'] 24-01-24 12:02 29 16.6667 6.07738 45 51.9517 25.955
$data['id'] 23-01-24 12:02 29 16.6667 3.59119 47.3684 51.7327 25.605
$data['id'] 22-01-24 12:00 29 16.6667 1.76001 47.3684 52.3114 25.625
$data['id'] 19-01-24 12:00 33 33.3333 1.5411 47.619 51.7166 25.44
$data['id'] 18-01-24 12:00 37 50 0 42.8571 57.3905 25.75
$data['id'] 17-01-24 12:00 42 50 16.6667 40 62.3607 26.48
$data['id'] 16-01-24 12:00 42 50 15.1341 42.1053 61.2463 26.39
$data['id'] 15-01-24 12:00 45 50 25.6705 47.3684 60.6146 26.54
$data['id'] 12-01-24 12:00 43 50 24.3295 42.8571 56.8807 26.485
$data['id'] 11-01-24 12:00 46 50 37.1648 42.8571 55.2046 26.91
$data['id'] 10-01-24 12:00 46 50 37.931 40 57.4308 26.725
$data['id'] 09-01-24 12:00 48 50 40.6131 47.3684 56.7806 27.02
$data['id'] 08-01-24 12:00 49 66.6667 38.8889 36.8421 56.166 27.02
$data['id'] 05-01-24 12:00 44 50 30.2682 42.8571 54.0595 27.035
$data['id'] 04-01-24 12:14 45 50 36.9732 42.8571 52.4272 27.045
$data['id'] 03-01-24 12:00 43 33.3333 47.5096 45 49.8401 27.02
$data['id'] 02-01-24 12:00 32 16.6667 13.0268 42.1053 59.1129 26.58
$data['id'] 29-12-23 12:00 30 16.6667 2.10729 42.8571 60.0098 26.025
$data['id'] 28-12-23 12:00 31 16.6667 4.59773 45.2381 59.6786 26.05
$data['id'] 27-12-23 12:00 30 16.6667 4.40612 40.4762 59.101 26.085
$data['id'] 22-12-23 12:00 38 33.3333 13.6015 50 58.7373 26.145
$data['id'] 21-12-23 12:00 37 33.3333 9.6886 50 58.4721 26.265
$data['id'] 20-12-23 12:00 39 33.3333 11.9378 54.3478 58.8031 26.385
$data['id'] 19-12-23 12:00 37 33.3333 6.92044 52.2727 59.076 26.13
$data['id'] 18-12-23 12:00 36 33.3333 5.53632 50 59.0297 26.22
$data['id'] 15-12-23 12:00 36 33.3333 10.5536 45.6522 57.6416 26.23
$data['id'] 14-12-23 12:00 30 16.6667 0.189721 45.6522 60.243 26.08
$data['id'] 13-12-23 12:00 36 33.3333 2.56919 45.6522 63.0643 26.275
$data['id'] 12-12-23 12:00 49 50 33.2016 47.7273 68.2775 26.9
$data['id'] 11-12-23 12:00 45 33.3333 30.6324 50 67.5617 27.195
$data['id'] 08-12-23 12:00 47 33.3333 36.9565 54.3478 67.0347 27.275
$data['id'] 07-12-23 12:00 44 33.3333 23.7154 53.5714 67.9314 27.08
$data['id'] 06-12-23 12:00 43 33.3333 22.1344 53.5099 65.6164 26.88
$data['id'] 05-12-23 12:00 35 33.3333 18.3019 53.5809 38.756 27.125
$data['id'] 04-12-23 12:00 33 33.3333 6.79442 53.5193 38.7486 26.7

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.