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ASM.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 29 16.6667 0 56.25 44.98 534.4
$data['id'] 05-09-24 11:00 30 16.6667 0.205109 60.4167 45.2567 550.8
$data['id'] 04-09-24 11:00 32 16.6667 10.9743 63.0435 39.7177 558
$data['id'] 03-09-24 11:00 40 33.3333 31.1795 65.9091 30.4486 586
$data['id'] 02-09-24 11:00 43 33.3333 34.0513 75 29.8574 610
$data['id'] 30-08-24 11:00 39 33.3333 30.5641 64.5833 30.54 605.8
$data['id'] 29-08-24 11:00 55 33.3333 26.7692 64.5833 95.7156 611.2
$data['id'] 28-08-24 11:00 56 33.3333 30.0513 67.3913 95.5661 588.4
$data['id'] 27-08-24 11:00 52 33.3333 21.9487 61.3636 94.7993 592.6
$data['id'] 26-08-24 11:00 59 50 25.7436 65.9091 94.8506 591.8
$data['id'] 23-08-24 11:00 59 50 28.4102 64.5833 94.847 599.4
$data['id'] 22-08-24 11:00 62 50 35.282 68.75 94.9695 611.2
$data['id'] 21-08-24 11:00 58 33.3333 33.3333 71.7391 94.2044 615.8
$data['id'] 20-08-24 11:00 57 33.3333 36.8205 70.4545 90.9509 611.2
$data['id'] 19-08-24 11:00 54 33.3333 28.1026 65.9091 90.3198 606.4
$data['id'] 16-08-24 11:00 55 33.3333 32.6154 64.5833 90.2142 607
$data['id'] 15-08-24 11:00 51 33.3333 21.7436 60.4167 90.8674 603.8
$data['id'] 14-08-24 11:00 48 33.3333 17.2308 54.3478 90.7769 579.8
$data['id'] 13-08-24 11:00 42 16.6667 12.4103 52.2727 89.4181 576.8
$data['id'] 12-08-24 11:00 43 16.6667 12.4103 56.8182 89.4739 571.6
$data['id'] 09-08-24 11:00 44 16.6667 14.1538 56.25 89.3086 564.8
$data['id'] 08-08-24 11:00 40 16.6667 2.5641 52.0833 89.5031 565.2
$data['id'] 07-08-24 11:00 41 16.6667 6.25642 54.3478 89.4655 561
$data['id'] 06-08-24 11:00 36 0 3.17949 52.2727 89.4461 554
$data['id'] 05-08-24 11:00 34 0 0 47.7273 89.3847 547.8
$data['id'] 02-08-24 11:00 40 16.6667 0 52.0833 91.705 542.6
$data['id'] 01-08-24 11:00 48 16.6667 24.2816 60.4167 94.3494 619.4
$data['id'] 31-07-24 11:00 48 16.6667 23.5632 58.6957 94.109 635.2
$data['id'] 30-07-24 11:00 46 16.6667 13.7931 61.3636 94.8923 607.8
$data['id'] 29-07-24 11:00 42 16.6667 3.16094 54.7619 95.1285 610
$data['id'] 26-07-24 11:00 44 16.6667 5.60344 58.6957 95.0466 608
$data['id'] 25-07-24 11:00 42 16.6667 0 58.6957 95.1954 601.8
$data['id'] 24-07-24 11:00 56 16.6667 48.3221 63.0435 99.6003 629.4
$data['id'] 23-07-24 11:00 49 33.3333 49.5812 65.9091 47.2177 693.2
$data['id'] 22-07-24 11:00 40 16.6667 35.5109 64.2857 45.6227 669.8
$data['id'] 19-07-24 11:00 49 50 39.2638 63.0435 47.01 655.4
$data['id'] 18-07-24 11:00 57 66.6667 53.681 63.0435 46.597 660.2
$data['id'] 17-07-24 11:00 61 66.6667 72.2393 63.0435 43.5959 677
$data['id'] 16-07-24 11:00 66 66.6667 97.7111 64.2857 38.835 732.6
$data['id'] 15-07-24 11:00 68 66.6667 100 69.0476 38.6396 743.8
$data['id'] 12-07-24 11:00 64 66.6667 92.2872 58.6957 40.0108 737.6
$data['id'] 11-07-24 11:00 68 66.6667 100 67.3913 41.6167 726.2
$data['id'] 10-07-24 11:00 66 66.6667 93.2249 63.0435 41.7198 731.2
$data['id'] 09-07-24 11:00 67 66.6667 96.3414 65.9091 41.4297 724.4
$data['id'] 08-07-24 11:00 67 66.6667 97.1583 64.2857 41.5574 724.4
$data['id'] 05-07-24 11:00 66 66.6667 93.9107 63.0435 41.4328 715.2
$data['id'] 04-07-24 11:00 66 66.6667 93.8321 63.0435 42.2092 720.4
$data['id'] 03-07-24 11:00 69 66.6667 99.2523 67.3913 43.0678 704.8
$data['id'] 02-07-24 11:00 66 66.6667 88.5981 64.2857 46.1087 705.6
$data['id'] 01-07-24 11:00 66 66.6667 89.1589 64.2857 45.9868 702.2
$data['id'] 28-06-24 11:00 65 66.6667 89.6262 60.4167 45.3511 709.8
$data['id'] 27-06-24 11:00 65 66.6667 87.1028 60.4167 46.5524 700
$data['id'] 26-06-24 11:00 65 66.6667 88.6916 58.6957 47.2887 698.4
$data['id'] 25-06-24 11:00 62 66.6667 77.9439 54.7619 50.0061 696
$data['id'] 24-06-24 11:00 67 83.3333 90.1869 52.2727 45.4556 690.2
$data['id'] 21-06-24 11:00 69 83.3333 93.6448 56.25 44.655 709.8
$data['id'] 20-06-24 11:00 75 100 100 60.4167 42.3107 729.2
$data['id'] 19-06-24 11:00 64 66.6667 96.1497 58.6957 36.8151 692.2
$data['id'] 18-06-24 11:00 65 66.6667 98.4513 61.3636 35.6205 700
$data['id'] 17-06-24 11:00 66 66.6667 99.4469 61.3636 36.5595 693
$data['id'] 14-06-24 11:00 64 66.6667 96.4602 64.5833 31.5583 677.8
$data['id'] 13-06-24 11:00 71 83.3333 100 70.8333 31.0234 691.6
$data['id'] 12-06-24 11:00 66 66.6667 99.546 65.9091 33.6544 697
$data['id'] 07-06-24 11:00 65 66.6667 100 60.4167 33.0614 686.8
$data['id'] 06-06-24 11:00 66 66.6667 100 64.5833 33.6662 676.4
$data['id'] 05-06-24 11:00 61 66.6667 90.2778 63.0435 27.5114 679
$data['id'] 04-06-24 11:00 57 66.6667 80.0505 56.8182 27.4874 647.4
$data['id'] 03-06-24 11:00 60 66.6667 84.2172 61.3636 30.3438 647
$data['id'] 31-05-24 11:00 59 66.6667 83.9647 58.6957 28.4314 642.6
$data['id'] 30-05-24 11:00 61 66.6667 88.5101 61.3636 29.8216 653.6
$data['id'] 29-05-24 11:00 66 83.3333 90.2778 61.3636 32.2914 658.4
$data['id'] 28-05-24 11:00 68 83.3333 94.5707 64.2857 31.3288 667
$data['id'] 27-05-24 11:00 70 83.3333 95.8334 62.5 38.8044 663.6
$data['id'] 24-05-24 11:00 71 83.3333 90.9091 61.3636 50.4917 666.6
$data['id'] 23-05-24 11:00 74 83.3333 100 65.9091 50.1157 670.4
$data['id'] 22-05-24 11:00 76 83.3333 100 65.9091 55.1185 657.6
$data['id'] 21-05-24 11:00 75 83.3333 100 64.2857 55.2954 657
$data['id'] 20-05-24 11:00 73 83.3333 95.6845 57.5 55.7231 656.4
$data['id'] 17-05-24 11:00 66 66.6667 93.2534 47.7273 56.7882 650.4
$data['id'] 16-05-24 11:00 68 83.3333 100 47.7273 41.6028 648
$data['id'] 15-05-24 11:00 62 66.6667 100 43.1818 41.2947 643.2
$data['id'] 14-05-24 11:00 64 83.3333 96.8635 35.7143 41.2572 620.4
$data['id'] 13-05-24 11:00 64 83.3333 95.3875 37.5 40.925 619.6
$data['id'] 10-05-24 11:00 65 83.3333 91.6974 45.4545 41.0026 623.2
$data['id'] 09-05-24 11:00 64 83.3333 88.0074 45.4545 40.99 608.6
$data['id'] 08-05-24 11:00 63 66.6667 97.9705 50 41.0281 613
$data['id'] 07-05-24 11:00 60 66.6667 86.3469 47.619 41.1741 621
$data['id'] 06-05-24 11:00 56 66.6667 76.7527 40 41.17 603
$data['id'] 03-05-24 11:00 56 66.6667 68.6347 50 41.3521 597.4
$data['id'] 02-05-24 11:00 54 66.6667 63.2841 45.4545 41.4299 582.2
$data['id'] 30-04-24 11:00 58 66.6667 75.2768 52.381 41.5666 594.8
$data['id'] 29-04-24 11:00 61 66.6667 87.6384 50 42.1188 600.4
$data['id'] 26-04-24 11:00 64 66.6667 100 50 42.9132 626.4
$data['id'] 25-04-24 11:00 53 33.3333 86.3326 50 44.125 583.4
$data['id'] 24-04-24 11:00 50 33.3333 77.9043 47.619 45.1222 587.8
$data['id'] 23-04-24 11:00 31 16.6667 12.0729 45 52.2503 531
$data['id'] 22-04-24 11:00 28 16.6667 0 45 53.6794 514.4
$data['id'] 19-04-24 11:00 32 33.3333 1.62959 45.4545 48.5475 525.4
$data['id'] 18-04-24 11:00 54 66.6667 49.7395 50 51.8629 546.8
$data['id'] 17-04-24 11:00 65 66.6667 85.3301 52.381 57.2506 581
$data['id'] 16-04-24 11:00 63 66.6667 76.0391 55 54.6264 603.8
$data['id'] 15-04-24 11:00 69 66.6667 99.2857 55 58.6683 602.2
$data['id'] 12-04-24 11:00 68 66.6667 100 50 56.1225 582.6
$data['id'] 11-04-24 11:00 65 66.6667 84.0476 52.2727 59.7376 581.6
$data['id'] 10-04-24 11:00 70 83.3333 93.5714 50 56.6755 582.4
$data['id'] 09-04-24 11:00 61 66.6667 73.8095 47.5 56.137 575.8
$data['id'] 08-04-24 11:02 58 66.6667 72.8572 42.5 52.2649 579.8
$data['id'] 05-04-24 11:00 54 66.6667 60.8315 40.4762 49.2983 579.4
$data['id'] 04-04-24 11:00 54 66.6667 63.895 38.6364 49.3591 575.6
$data['id'] 03-04-24 11:00 56 66.6667 70.0144 40.4762 48.7933 572
$data['id'] 02-04-24 11:00 61 66.6667 90.197 42.5 47.5084 573.6
$data['id'] 28-03-24 11:00 61 66.6667 81.25 47.7273 48.4505 566.7
$data['id'] 27-03-24 11:00 61 66.6667 86.2306 45.4545 48.4913 571.9
$data['id'] 26-03-24 11:00 64 66.6667 89.0812 52.2727 48.17 580.4
$data['id'] 25-03-24 11:00 62 66.6667 85.2197 50 48.2022 581.7
$data['id'] 22-03-24 11:00 60 66.6667 79.8935 47.7273 47.2454 574.5
$data['id'] 21-03-24 11:00 62 66.6667 83.4678 52.2727 48.9405 585.2
$data['id'] 20-03-24 11:00 59 66.6667 70.4876 52.2727 49.7334 550.4
$data['id'] 19-03-24 11:00 57 66.6667 68.4177 45.4545 49.7394 553.7
$data['id'] 18-03-24 11:00 59 66.6667 71.4016 50 48.4936 552.1
$data['id'] 15-03-24 11:00 59 66.6667 74.0085 47.7273 48.34 554.9
$data['id'] 14-03-24 10:00 61 66.6667 78.5235 52.2727 47.759 560.2
$data['id'] 13-03-24 10:00 63 66.6667 81.8182 56.8182 47.7186 565.6
$data['id'] 12-03-24 10:02 58 66.6667 71.385 47.7273 47.6987 565.1
$data['id'] 11-03-24 10:02 59 66.6667 75.2288 50 47.3353 557.2
$data['id'] 08-03-24 10:00 66 66.6667 96.6443 52.2727 48.4209 576.2
$data['id'] 07-03-24 10:00 65 66.6667 93.9759 52.2727 48.2925 599.3
$data['id'] 06-03-24 10:00 64 66.6667 87.4163 56.8182 48.3729 577.8
$data['id'] 05-03-24 10:00 66 66.6667 94.1767 56.8182 48.7329 567.1
$data['id'] 04-03-24 12:00 68 66.6667 100 59.5238 48.9023 586.6
$data['id'] 01-03-24 12:00 63 66.6667 85.5172 52.2727 49.1049 568
$data['id'] 29-02-24 12:00 61 66.6667 79.5862 52.0833 48.6424 564.2
$data['id'] 28-02-24 12:00 63 66.6667 85.7241 54.3478 48.7627 567.5
$data['id'] 27-02-24 12:00 67 66.6667 98.6207 56.8182 49.4622 581.9
$data['id'] 26-02-24 12:00 65 66.6667 91.8621 52.2727 49.8836 575.2
$data['id'] 23-02-24 12:00 64 66.6667 86.1379 56.25 50.8748 554.8
$data['id'] 22-02-24 12:00 69 83.3333 89.6552 56.25 49.3241 557.9
$data['id'] 21-02-24 12:00 61 66.6667 73.2414 56.5217 51.5046 540.6
$data['id'] 20-02-24 12:00 65 66.6667 81.7931 56.8182 54.9025 541.8
$data['id'] 19-02-24 12:00 75 83.3333 96.4138 61.3636 59.3301 570.6
$data['id'] 16-02-24 12:00 81 100 100 64.5833 59.8494 580.3
$data['id'] 15-02-24 12:00 79 100 94.3503 64.5833 60.4908 561.6
$data['id'] 14-02-24 12:00 65 66.6667 83.0508 63.0435 49.2983 558.1
$data['id'] 13-02-24 12:00 64 66.6667 79.8729 61.3636 49.1478 551.5
$data['id'] 12-02-24 12:00 77 100 95.8333 61.3636 52.395 569.2
$data['id'] 09-02-24 12:00 78 100 100 60.4167 55.1889 577.1
$data['id'] 08-02-24 12:00 79 100 100 60.4167 55.6485 553.8
$data['id'] 07-02-24 12:00 78 100 100 58.6957 56.0555 544.8
$data['id'] 06-02-24 12:00 78 100 100 56.8182 55.9763 536.2
$data['id'] 05-02-24 12:00 71 83.3333 90.7098 56.8182 55.994 525.7
$data['id'] 02-02-24 12:00 76 100 92.5888 56.25 56.5548 522.7
$data['id'] 01-02-24 12:00 76 100 94.5721 54.3478 56.4325 522.3
$data['id'] 31-01-24 12:00 67 83.3333 79.8539 52.2727 55.1251 516.1
$data['id'] 30-01-24 12:00 75 100 91.1273 59.5238 51.4391 522.1
$data['id'] 29-01-24 12:00 73 100 89.9791 54.7619 49.7306 520.2
$data['id'] 26-01-24 12:00 68 83.3333 84.7599 56.8182 49.2043 525.9
$data['id'] 25-01-24 12:00 75 100 96.4246 54.7619 49.7871 532.6
$data['id'] 24-01-24 12:02 76 100 100 57.5 50.3261 526.2
$data['id'] 23-01-24 12:02 75 100 100 52.6316 50.6477 512.7
$data['id'] 22-01-24 12:00 76 100 100 55.2632 50.769 508.4
$data['id'] 19-01-24 12:00 67 66.6667 95.4799 54.7619 51.3002 495.55
$data['id'] 18-01-24 12:00 68 66.6667 86.4865 54.7619 64.1758 497.05
$data['id'] 17-01-24 12:00 54 33.3333 61.2745 52.5 70.0164 461.95
$data['id'] 16-01-24 12:00 46 16.6667 54.8234 44.7368 69.2226 454.3
$data['id'] 15-01-24 12:00 53 33.3333 62.4636 50 68.6461 450.45
$data['id'] 12-01-24 12:00 54 33.3333 63.2046 54.7619 65.5383 450.3
$data['id'] 11-01-24 12:00 51 16.6667 65.5126 59.5238 65.0944 450.6
$data['id'] 10-01-24 12:00 51 16.6667 62.095 62.5 65.729 443.75
$data['id'] 09-01-24 12:00 47 16.6667 54.372 55.2632 64.5113 445.85
$data['id'] 08-01-24 12:00 51 16.6667 62.1716 60.5263 65.1831 444.5
$data['id'] 05-01-24 12:00 47 16.6667 54.3663 54.7619 65.2659 440.55
$data['id'] 04-01-24 12:14 53 33.3333 55.3191 59.5238 64.6526 435.65
$data['id'] 03-01-24 12:00 62 66.6667 64.1337 62.5 55.5273 439.6
$data['id'] 02-01-24 12:00 68 66.6667 81.9529 65.7895 58.8998 456.4
$data['id'] 29-12-23 12:00 70 66.6667 86.8541 69.0476 59.5216 469.65
$data['id'] 28-12-23 12:00 72 66.6667 89.9696 73.8095 58.1515 476.75
$data['id'] 27-12-23 12:00 71 66.6667 92.0213 69.0476 57.4339 475.15
$data['id'] 22-12-23 12:00 67 66.6667 83.5106 63.0435 57.7256 473.4
$data['id'] 21-12-23 12:00 67 66.6667 82.1049 63.0435 57.3385 471.5
$data['id'] 20-12-23 12:00 67 66.6667 84.8404 63.0435 57.3059 472.35
$data['id'] 19-12-23 12:00 70 66.6667 90.5015 65.9091 58.2262 479.95
$data['id'] 18-12-23 12:00 78 83.3333 100 71.4286 59.654 478.5
$data['id'] 15-12-23 12:00 74 66.6667 100 71.7391 60.1145 490.6
$data['id'] 14-12-23 12:00 74 66.6667 100 71.7391 59.1832 481.3
$data['id'] 13-12-23 12:00 74 66.6667 100 71.7391 59.634 477.85
$data['id'] 12-12-23 12:00 72 66.6667 92.0518 70.4545 61.306 466.1
$data['id'] 11-12-23 12:00 71 66.6667 88.0346 69.0476 60.4773 460.9
$data['id'] 08-12-23 12:00 70 66.6667 83.4557 71.7391 60.8495 458.7
$data['id'] 07-12-23 12:00 65 66.6667 79.3088 54.4974 61.1675 450.95
$data['id'] 06-12-23 12:00 65 66.6667 80.4752 54.5695 60.8634 452.2
$data['id'] 05-12-23 12:00 64 66.6667 76.8467 54.5093 60.8761 447.95
$data['id'] 04-12-23 12:00 73 66.6667 95.8099 54.4489 77.1343 445.5

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.