Back ASML.AS Fear & Greed Index

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ASML.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 61 66.6667 76.1628 54.5455 50.4805 724.7
$data['id'] 10-02-25 11:00 59 66.6667 70.3489 50 50.461 718.4
$data['id'] 07-02-25 11:00 54 50 70.0166 45.8333 50.4532 701.6
$data['id'] 06-02-25 11:00 58 66.6667 70.0997 45.8333 50.4543 714.5
$data['id'] 05-02-25 11:00 51 50 66.3374 40.9091 50.4976 703.7
$data['id'] 04-02-25 11:00 51 50 65.8055 40.9091 50.4988 712.8
$data['id'] 03-02-25 11:00 52 50 63.4499 45.4545 50.5644 707.3
$data['id'] 31-01-25 11:00 58 50 85.5623 45.4545 51.3766 723.6
$data['id'] 30-01-25 11:00 49 33.3333 66.8693 47.8261 51.1018 706.4
$data['id'] 29-01-25 11:00 49 33.3333 67.4772 45.4545 51.4472 685.5
$data['id'] 28-01-25 11:00 56 50 30.3192 45 99.2675 647.2
$data['id'] 27-01-25 11:00 49 50 7.14288 42.8571 98.6682 649.2
$data['id'] 24-01-25 11:00 61 66.6667 80.7751 47.619 50.306 701.3
$data['id'] 23-01-25 11:00 60 66.6667 78.1915 47.619 50.251 714.5
$data['id'] 22-01-25 11:00 69 83.3333 93.2319 50 50.0297 748
$data['id'] 21-01-25 11:00 69 83.3333 99.8542 47.3684 49.4413 731.5
$data['id'] 20-01-25 11:00 69 83.3333 96.3504 47.3684 50.1414 747.7
$data['id'] 17-01-25 11:00 68 83.3333 95.8394 42.8571 50.1655 737.9
$data['id'] 16-01-25 11:00 67 83.3333 88.5401 47.5 50.0701 742.4
$data['id'] 15-01-25 11:00 58 66.6667 72.9927 42.5 50.0043 717.4
$data['id'] 14-01-25 11:00 61 66.6667 82.6277 44.7368 50.0336 710.4
$data['id'] 13-01-25 11:00 57 66.6667 67.0073 44.7368 50.0934 711.2
$data['id'] 10-01-25 11:00 64 66.6667 86.7153 54.7619 49.1401 726.5
$data['id'] 09-01-25 11:00 61 66.6667 78.7591 50 49.3972 732.6
$data['id'] 08-01-25 11:00 68 83.3333 91.2409 52.5 48.2782 725.7
$data['id'] 07-01-25 11:00 70 83.3333 95.5475 55.2632 48.0277 741.3
$data['id'] 06-01-25 11:00 64 66.6667 100 55.2632 35.4056 745
$data['id'] 03-01-25 11:00 55 66.6667 72.6761 52.5 28.9002 687.2
$data['id'] 02-01-25 11:00 53 66.6667 65.7277 54.7619 28.3238 688.9
$data['id'] 31-12-24 11:00 51 66.6667 58.6854 52.5 28.2237 678.7
$data['id'] 30-12-24 11:00 52 66.6667 65.3521 50 28.6789 672.8
$data['id'] 24-12-24 11:00 49 66.6667 42.2737 56.8182 31.4615 688.5
$data['id'] 23-12-24 11:00 48 66.6667 40.3974 54.7619 33.0135 684.1
$data['id'] 20-12-24 11:00 50 66.6667 35.3201 63.0435 35.2755 686
$data['id'] 19-12-24 11:00 51 66.6667 42.4393 63.0435 34.8013 688.9
$data['id'] 18-12-24 11:00 56 83.3333 52.3179 63.0435 27.6424 717.6
$data['id'] 17-12-24 11:00 56 83.3333 50.4415 61.3636 28.8819 701.3
$data['id'] 16-12-24 11:00 53 83.3333 42.5497 59.5238 28.6358 689.9
$data['id'] 13-12-24 11:00 47 66.6667 41.5563 54.3478 29.1809 686.9
$data['id'] 12-12-24 11:00 46 66.6667 35.4856 45.6522 39.5318 684.5
$data['id'] 11-12-24 11:00 50 66.6667 34.2163 50 50.0262 679.4
$data['id'] 10-12-24 11:00 54 83.3333 33.8852 50 50.0412 671.2
$data['id'] 09-12-24 11:00 54 83.3333 34.9338 50 50.0344 674.3
$data['id'] 06-12-24 11:00 55 83.3333 35.9823 54.3478 50.0376 675.3
$data['id'] 05-12-24 11:00 58 83.3333 43.0464 58.6957 50.031 677.2
$data['id'] 04-12-24 11:00 53 66.6667 39.5695 58.6957 50.0707 684.1
$data['id'] 03-12-24 11:00 60 50 34.713 56.8182 99.8627 678.4
$data['id'] 02-12-24 11:00 51 33.3333 21.5232 50 99.8381 660.1
$data['id'] 29-11-24 11:00 48 33.3333 16.7218 43.75 99.8801 661.9
$data['id'] 28-11-24 11:00 50 33.3333 23.7307 43.75 99.7513 641.5
$data['id'] 27-11-24 11:00 46 33.3333 10.1545 41.3043 99.8836 627.7
$data['id'] 26-11-24 11:00 48 33.3333 17.7704 43.1818 99.8073 640.7
$data['id'] 25-11-24 11:00 50 33.3333 25.1656 43.1818 99.7919 652.9
$data['id'] 22-11-24 11:00 47 33.3333 14.5695 41.3043 99.7918 643.4
$data['id'] 21-11-24 11:00 43 33.3333 0 39.5833 99.9362 631.4
$data['id'] 20-11-24 11:00 46 33.3333 8.83002 45.6522 99.9403 618
$data['id'] 19-11-24 11:00 45 33.3333 5.7947 43.1818 99.9193 624.6
$data['id'] 18-11-24 11:00 41 16.6667 5.73953 43.1818 99.8548 628.3
$data['id'] 15-11-24 11:00 37 33.3333 21.8543 47.9167 47.6437 636.5
$data['id'] 14-11-24 11:00 38 33.3333 27.3179 47.9167 45.174 671.1
$data['id'] 13-11-24 11:00 27 16.6667 8.83002 45.6522 37.7147 624.8
$data['id'] 12-11-24 11:00 35 33.3333 14.43 47.7273 46.2733 631.8
$data['id'] 11-11-24 11:00 43 16.6667 9.66813 47.7273 98.1256 628.9
$data['id'] 08-11-24 11:00 42 16.6667 6.03204 47.9167 98.0553 620.1
$data['id'] 07-11-24 11:00 42 16.6667 4.09991 52.0833 98.0545 623.9
$data['id'] 06-11-24 11:00 47 33.3333 5.07811 54.3478 98.0737 610.7
$data['id'] 05-11-24 11:00 46 33.3333 0.537098 52.2727 98.0368 625
$data['id'] 04-11-24 11:00 40 16.6667 0.792852 47.7273 98.0219 620.1
$data['id'] 01-11-24 11:00 41 16.6667 0.708215 52.0833 98.0265 627.3
$data['id'] 31-10-24 11:00 40 16.6667 0 47.9167 98.0261 619.1
$data['id'] 30-10-24 11:00 41 16.6667 3.10411 50 98.0435 634.8
$data['id'] 29-10-24 11:00 45 16.6667 11.6046 56.8182 97.9956 656.1
$data['id'] 28-10-24 11:00 45 16.6667 13.4193 54.7619 97.9977 655
$data['id'] 25-10-24 11:00 43 16.6667 11.0315 50 97.9895 664.8
$data['id'] 24-10-24 11:00 45 16.6667 14.1834 54.3478 97.9748 660.6
$data['id'] 23-10-24 11:00 45 16.6667 11.9389 56.8182 97.8713 657.3
$data['id'] 22-10-24 11:00 47 16.6667 17.574 56.8182 97.8352 665.4
$data['id'] 21-10-24 11:00 47 16.6667 16.5234 59.5238 97.8431 657.3
$data['id'] 18-10-24 11:00 46 16.6667 13.6103 56.8182 97.7525 663.7
$data['id'] 17-10-24 11:00 41 16.6667 0 50 97.9344 631.9
$data['id'] 16-10-24 11:00 42 16.6667 0 56.8182 96.9325 631.4
$data['id'] 15-10-24 11:00 63 83.3333 67.7986 56.8182 45.8058 673.6
$data['id'] 14-10-24 11:00 62 83.3333 62.5293 59.5238 44.0517 793.3
$data['id'] 11-10-24 11:00 50 50 50.9368 54.3478 45.378 768.7
$data['id'] 10-10-24 11:00 46 33.3333 48.9888 58.6957 46.1024 761.9
$data['id'] 09-10-24 11:00 46 33.3333 45.5618 58.6957 47.678 766.3
$data['id'] 08-10-24 11:00 55 33.3333 37.9775 52.2727 99.9272 751.7
$data['id'] 07-10-24 11:00 57 33.3333 40.7865 54.7619 99.9246 746.3
$data['id'] 04-10-24 11:00 55 33.3333 43.9888 45.6522 99.9501 759.9
$data['id'] 03-10-24 11:00 55 33.3333 42.6405 45.6522 99.5294 753.6
$data['id'] 02-10-24 11:00 54 33.3333 38.8535 45.6522 99.5217 756.7
$data['id'] 01-10-24 11:00 60 50 45.4883 47.7273 99.1262 739.5
$data['id'] 30-09-24 11:00 59 50 41.2951 47.7273 99.003 746.1
$data['id'] 27-09-24 11:00 63 50 47.8769 56.25 98.9825 753.3
$data['id'] 26-09-24 11:00 62 50 47.0766 52.0833 98.9065 759.3
$data['id'] 25-09-24 11:00 48 33.3333 17.9496 45.6522 99.0092 736.2
$data['id'] 24-09-24 11:00 49 33.3333 18.2191 47.7273 98.9802 726.4
$data['id'] 23-09-24 11:00 43 16.6667 13.8611 43.1818 99.0148 718.4
$data['id'] 20-09-24 11:00 43 16.6667 17.7737 39.5833 99.0682 713
$data['id'] 19-09-24 11:00 44 16.6667 18.441 43.75 99.2465 746.6
$data['id'] 18-09-24 11:00 42 16.6667 13.7701 41.3043 99.3538 715.4
$data['id'] 17-09-24 11:00 43 16.6667 15.1956 43.1818 99.3205 726.5
$data['id'] 16-09-24 11:00 43 16.6667 18.3652 38.6364 99.3302 719.4
$data['id'] 13-09-24 11:00 44 16.6667 16.0449 47.9167 99.3692 733.6
$data['id'] 12-09-24 11:00 45 16.6667 17.1065 47.9167 99.2802 722.2
$data['id'] 11-09-24 11:00 41 16.6667 6.21777 45.6522 99.3766 696.3
$data['id'] 10-09-24 11:00 37 0 0.982503 47.7273 99.4726 672.9
$data['id'] 09-09-24 11:00 43 16.6667 4.73226 52.2727 99.3715 673.3
$data['id'] 06-09-24 11:00 36 0 0 47.9167 99.7249 679.5
$data['id'] 05-09-24 11:00 42 16.6667 0 52.0833 99.7489 722.6
$data['id'] 04-09-24 11:00 43 16.6667 2.03698 54.3478 99.8669 736.4
$data['id'] 03-09-24 11:00 39 33.3333 28.2158 56.8182 39.5288 783.5
$data['id'] 02-09-24 11:00 40 33.3333 27.1218 56.8182 45.7976 818.9
$data['id'] 30-08-24 11:00 40 33.3333 27.0087 56.25 46.3302 812.7
$data['id'] 29-08-24 11:00 53 33.3333 27.5368 56.25 98.7935 821.3
$data['id'] 28-08-24 11:00 52 33.3333 25.1226 54.3478 98.7498 797.9
$data['id'] 27-08-24 11:00 51 33.3333 21.5768 52.2727 98.4766 795.5
$data['id'] 26-08-24 11:00 53 33.3333 28.2912 52.2727 98.5256 797.5
$data['id'] 23-08-24 11:00 58 50 31.7616 52.0833 98.5057 815.7
$data['id'] 22-08-24 11:00 62 50 41.0411 60.4167 98.4881 833.4
$data['id'] 21-08-24 11:00 57 33.3333 38.2497 58.6957 98.3505 844.9
$data['id'] 20-08-24 11:00 57 33.3333 41.607 56.8182 98.215 834.2
$data['id'] 19-08-24 11:00 55 33.3333 33.7231 56.8182 98.2301 827
$data['id'] 16-08-24 11:00 55 33.3333 36.8918 52.0833 98.1761 833.2
$data['id'] 15-08-24 11:00 51 33.3333 25.6507 47.9167 98.2919 830.3
$data['id'] 14-08-24 11:00 49 33.3333 21.3127 45.6522 98.2105 794.3
$data['id'] 13-08-24 11:00 44 16.6667 19.0117 43.1818 97.4544 789.5
$data['id'] 12-08-24 11:00 42 16.6667 18.9363 38.6364 97.4516 783.9
$data['id'] 09-08-24 11:00 45 16.6667 23.991 43.75 97.4345 782.7
$data['id'] 08-08-24 11:00 42 16.6667 15.2395 39.5833 97.4053 792.5
$data['id'] 07-08-24 11:00 43 16.6667 18.559 41.3043 97.4483 794.8
$data['id'] 06-08-24 11:00 40 16.6667 10.3734 38.6364 97.5316 779.2
$data['id'] 05-08-24 11:00 32 0 0 34.0909 97.6657 749.5
$data['id'] 02-08-24 11:00 38 16.6667 0 39.5833 98.2074 743
$data['id'] 01-08-24 11:00 47 16.6667 28.3317 47.9167 98.3908 829.8
$data['id'] 31-07-24 11:00 47 16.6667 28.1342 45.6522 98.3179 850.1
$data['id'] 30-07-24 11:00 43 16.6667 12.537 47.7273 98.5997 806.7
$data['id'] 29-07-24 11:00 44 16.6667 11.2043 50 98.648 806
$data['id'] 26-07-24 11:00 43 16.6667 7.74926 50 98.6895 819.8
$data['id'] 25-07-24 11:00 36 0 0 45.6522 98.8193 802.2
$data['id'] 24-07-24 11:00 45 16.6667 16.7921 50 98.871 829.3
$data['id'] 23-07-24 11:00 46 16.6667 17.1975 52.2727 98.8755 860.1
$data['id'] 22-07-24 11:00 43 16.6667 9.32251 50 98.9241 852.4
$data['id'] 19-07-24 11:00 37 0 1.64937 50 98.97 831.6
$data['id'] 18-07-24 11:00 44 16.6667 16.0371 45.6522 99.0351 837.6
$data['id'] 17-07-24 11:00 60 50 43.839 50 99.7687 872.2
$data['id'] 16-07-24 11:00 62 66.6667 88.2141 54.7619 40.449 978.5
$data['id'] 15-07-24 11:00 66 66.6667 100 59.5238 38.4859 993.9
$data['id'] 12-07-24 11:00 61 66.6667 87.8279 50 39.5637 1003.2
$data['id'] 11-07-24 11:00 66 66.6667 100 58.6957 39.0037 989
$data['id'] 10-07-24 11:00 61 66.6667 91.2064 50 39.3006 999.3
$data['id'] 09-07-24 11:00 64 66.6667 99.1957 52.2727 41.3735 984.7
$data['id'] 08-07-24 11:00 65 66.6667 100 54.7619 42.1351 999.2
$data['id'] 05-07-24 11:00 66 66.6667 100 58.6957 41.5636 991
$data['id'] 04-07-24 11:00 67 66.6667 100 63.0435 41.2933 985.1
$data['id'] 03-07-24 11:00 66 66.6667 97.4084 58.6957 41.7484 987.1
$data['id'] 02-07-24 11:00 62 66.6667 79.7183 54.7619 50.5357 965.1
$data['id'] 01-07-24 11:00 65 66.6667 86.1408 59.5238 50.5059 951.7
$data['id'] 28-06-24 11:00 64 66.6667 89.0141 52.0833 50.5144 965.6
$data['id'] 27-06-24 11:00 62 66.6667 82.3098 52.0833 50.5456 960.8
$data['id'] 26-06-24 11:00 64 66.6667 85.6901 54.3478 50.5677 948.8
$data['id'] 25-06-24 11:00 63 83.3333 68.9014 50 50.6957 948.8
$data['id'] 24-06-24 11:00 67 83.3333 84.3944 52.2727 50.5579 946.3
$data['id'] 21-06-24 11:00 71 83.3333 91.4929 60.4167 50.4915 970
$data['id'] 20-06-24 11:00 72 83.3333 97.7038 60.4167 50.4148 986.6
$data['id'] 19-06-24 11:00 71 83.3333 94.5465 58.6957 50.4108 965.9
$data['id'] 18-06-24 11:00 71 83.3333 92.5947 61.3636 50.386 981
$data['id'] 17-06-24 11:00 71 83.3333 92.1929 61.3636 50.4444 970.4
$data['id'] 14-06-24 11:00 72 83.3333 91.3892 64.5833 50.3757 953.3
$data['id'] 13-06-24 11:00 77 100 99.5982 60.4167 50.3177 967.5
$data['id'] 12-06-24 11:00 77 100 99.0789 61.3636 50.2499 985
$data['id'] 07-06-24 11:00 77 100 100 60.4167 50.3522 960.9
$data['id'] 06-06-24 11:00 77 100 100 60.4167 50.3881 957.5
$data['id'] 05-06-24 11:00 61 66.6667 80.8758 58.6957 38.7461 942.2
$data['id'] 04-06-24 11:00 53 66.6667 58.445 56.8182 33.9303 874.5
$data['id'] 03-06-24 11:00 57 66.6667 65.773 61.3636 34.6693 880.2
$data['id'] 31-05-24 11:00 56 66.6667 63.1814 63.0435 32.9404 871.7
$data['id'] 30-05-24 11:00 57 66.6667 64.8794 61.3636 36.514 880.8
$data['id'] 29-05-24 11:00 62 66.6667 79.2672 65.9091 39.7993 888.6
$data['id'] 28-05-24 11:00 61 66.6667 74.7989 64.2857 41.7862 895.8
$data['id'] 27-05-24 11:00 56 66.6667 60.5898 57.5 42.1569 879.4
$data['id'] 24-05-24 11:00 49 50 49.6872 52.2727 46.2997 881.4
$data['id'] 23-05-24 11:00 54 50 63.75 56.8182 47.3034 876
$data['id'] 22-05-24 11:00 41 33.3333 34.4702 56.8182 43.0608 854.6
$data['id'] 21-05-24 11:00 41 33.3333 34.9056 54.7619 44.7688 852.8
$data['id'] 20-05-24 11:00 39 33.3333 28.5196 52.5 44.6129 863.4
$data['id'] 17-05-24 11:00 38 33.3333 23.73 47.7273 48.1717 853.4
$data['id'] 16-05-24 11:00 42 33.3333 35.7765 47.7273 52.0935 859.5
$data['id'] 15-05-24 11:00 39 33.3333 27.2859 47.7273 49.5074 851.8
$data['id'] 14-05-24 11:00 38 33.3333 27.8664 45.2381 49.5373 841.1
$data['id'] 13-05-24 11:00 40 33.3333 31.64 47.5 49.5342 852.8
$data['id'] 10-05-24 11:00 40 33.3333 32.9463 47.7273 49.5808 864.8
$data['id'] 09-05-24 11:00 39 33.3333 26.3425 47.7273 49.602 849
$data['id'] 08-05-24 11:00 38 33.3333 27.6488 43.1818 49.5669 844.9
$data['id'] 07-05-24 11:00 34 16.6667 27.939 45.2381 49.5569 852.6
$data['id'] 06-05-24 11:00 31 16.6667 18.7953 42.5 49.573 847
$data['id'] 03-05-24 11:00 29 16.6667 8.70827 43.1818 49.6726 834.7
$data['id'] 02-05-24 11:00 28 16.6667 3.23527 43.1818 49.7577 813.3
$data['id'] 30-04-24 11:00 32 16.6667 19.4853 45.2381 49.7518 833.5
$data['id'] 29-04-24 11:00 36 16.6667 33.3823 47.5 49.773 848.4
$data['id'] 26-04-24 11:00 34 16.6667 29.3382 43.1818 49.8275 860.2
$data['id'] 25-04-24 11:00 31 16.6667 16.1765 43.1818 49.9256 832.7
$data['id'] 24-04-24 11:00 34 16.6667 29.1176 40.4762 49.8158 834.2
$data['id'] 23-04-24 11:00 28 16.6667 9.7794 37.5 49.9689 834.9
$data['id'] 22-04-24 11:00 26 16.6667 0 37.5 50.4234 810.9
$data['id'] 19-04-24 11:00 27 16.6667 0 43.1818 49.5518 819.2
$data['id'] 18-04-24 11:00 47 66.6667 24.8768 47.7273 49.5655 839.9
$data['id'] 17-04-24 11:00 50 66.6667 42.1012 45.2381 49.9308 856.9
$data['id'] 16-04-24 11:00 56 66.6667 63.2772 42.5 55.041 913.3
$data['id'] 15-04-24 11:00 61 66.6667 82.1192 47.5 51.694 907.7
$data['id'] 12-04-24 11:00 62 66.6667 85.4305 47.7273 51.3374 905.2
$data['id'] 11-04-24 11:00 60 66.6667 76.0265 47.7273 51.63 909.6
$data['id'] 10-04-24 11:00 61 66.6667 78.0263 50 51.0962 911.3
$data['id'] 09-04-24 11:00 58 66.6667 71.5789 47.5 49.8399 901.5
$data['id'] 08-04-24 11:02 58 66.6667 74.5675 42.5 49.7664 913.4
$data['id'] 05-04-24 11:00 58 66.6667 73.6886 45.2381 49.4528 905.2
$data['id'] 04-04-24 11:00 61 66.6667 82.1148 47.7273 49.511 901.8
$data['id'] 03-04-24 11:00 60 66.6667 78.8132 45.2381 49.5138 903.6
$data['id'] 02-04-24 11:00 62 66.6667 87.6281 47.5 49.3771 893.5
$data['id'] 28-03-24 11:00 64 66.6667 84.1789 56.8182 49.3687 890.7
$data['id'] 27-03-24 11:00 60 50 84.2123 56.8182 49.3781 894
$data['id'] 26-03-24 11:00 64 66.6667 86.6445 56.8182 49.381 902.8
$data['id'] 25-03-24 11:00 65 66.6667 85.9136 59.5238 49.3793 912.4
$data['id'] 22-03-24 11:00 64 66.6667 85.0498 56.8182 49.366 907.7
$data['id'] 21-03-24 11:00 66 66.6667 88.2724 61.3636 49.5271 923.1
$data['id'] 20-03-24 11:00 62 66.6667 75.9468 56.8182 49.4501 876.2
$data['id'] 19-03-24 11:00 60 66.6667 72.7242 52.2727 49.4436 867.3
$data['id'] 18-03-24 11:00 61 66.6667 73.541 54.7619 49.3664 873.7
$data['id'] 15-03-24 11:00 61 66.6667 77.0164 52.2727 49.4308 868.5
$data['id'] 14-03-24 10:00 62 66.6667 78.7213 56.8182 49.3994 880.8
$data['id'] 13-03-24 10:00 63 66.6667 81.2131 56.8182 49.4289 879.2
$data['id'] 12-03-24 10:02 61 66.6667 77.8033 52.2727 49.4291 889.1
$data['id'] 11-03-24 10:02 67 83.3333 82.5246 54.7619 49.4172 884.8
$data['id'] 08-03-24 10:00 78 100 100 65.9091 49.6681 926.4
$data['id'] 07-03-24 10:00 70 66.6667 100 65.9091 49.7948 948.8
$data['id'] 06-03-24 10:00 70 66.6667 97.7695 65.9091 49.805 913.3
$data['id'] 05-03-24 10:00 70 66.6667 98.2528 65.9091 49.8118 900.8
$data['id'] 04-03-24 12:00 79 100 100 69.0476 49.8438 913.1
$data['id'] 01-03-24 12:00 71 66.6667 98.5106 70.4545 49.9393 893.7
$data['id'] 29-02-24 12:00 67 66.6667 91.7447 60.4167 49.9051 872.6
$data['id'] 28-02-24 12:00 68 66.6667 95.0638 63.0435 49.8957 869.6
$data['id'] 27-02-24 12:00 70 66.6667 100 65.9091 49.925 879.9
$data['id'] 26-02-24 12:00 69 66.6667 94.9872 65.9091 49.9247 868
$data['id'] 23-02-24 12:00 69 66.6667 98.1148 64.5833 49.9606 865.8
$data['id'] 22-02-24 12:00 69 66.6667 92.8449 64.5833 53.4313 874.6
$data['id'] 21-02-24 12:00 66 66.6667 82.9049 65.2174 49.9716 834.8
$data['id'] 20-02-24 12:00 67 66.6667 87.018 65.9091 49.0039 838.8
$data['id'] 19-02-24 12:00 78 100 93.0858 70.4545 49.0625 860.9
$data['id'] 16-02-24 12:00 79 100 97.4089 72.9167 49.095 873.1
$data['id'] 15-02-24 12:00 79 100 97.0445 72.9167 49.0866 860
$data['id'] 14-02-24 12:00 72 83.3333 89.2773 67.3913 48.9972 855
$data['id'] 13-02-24 12:00 72 83.3333 85.4674 70.4545 48.8619 851.6
$data['id'] 12-02-24 12:00 78 100 98.674 65.9091 49.1763 875.5
$data['id'] 09-02-24 12:00 78 100 100 64.5833 49.1822 873.3
$data['id'] 08-02-24 12:00 77 100 98.6105 60.4167 49.1378 853.4
$data['id'] 07-02-24 12:00 78 100 100 63.0435 49.1292 850.1
$data['id'] 06-02-24 12:00 77 100 100 61.3636 49.0973 833.5
$data['id'] 05-02-24 12:00 77 100 100 61.3636 49.0796 826.3
$data['id'] 02-02-24 12:00 76 100 100 56.25 49.0875 818
$data['id'] 01-02-24 12:00 75 100 100 54.3478 49.0564 811.6
$data['id'] 31-01-24 12:00 72 100 88.912 52.2727 49.0098 798.9
$data['id'] 30-01-24 12:00 77 100 99.6877 59.5238 48.9297 798.6
$data['id'] 29-01-24 12:00 74 100 94.3259 54.7619 48.7989 803.4
$data['id'] 26-01-24 12:00 72 100 90.6674 52.2727 48.7484 798.5
$data['id'] 25-01-24 12:00 75 100 100 54.7619 48.9963 810.4
$data['id'] 24-01-24 12:02 75 100 100 52.5 49.6027 773.5
$data['id'] 23-01-24 12:02 70 83.3333 93.4884 50 53.9302 709.8
$data['id'] 22-01-24 12:00 73 83.3333 100 55.2632 56.0679 708.3
$data['id'] 19-01-24 12:00 68 66.6667 90.1941 59.5238 59.5184 687.2
$data['id'] 18-01-24 12:00 61 50 65.8252 59.5238 69.6688 673.5
$data['id'] 17-01-24 12:00 53 33.3333 55.8252 57.5 67.9022 650.3
$data['id'] 16-01-24 12:00 56 33.3333 65.5592 60.5263 65.1065 652.8
$data['id'] 15-01-24 12:00 55 33.3333 65.8423 60.5263 62.7451 648.7
$data['id'] 12-01-24 12:00 65 66.6667 69.3763 64.2857 62.247 649.3
$data['id'] 11-01-24 12:00 67 66.6667 72.1794 69.0476 61.9978 649.5
$data['id'] 10-01-24 12:00 68 66.6667 72.1794 72.5 61.178 651.1
$data['id'] 09-01-24 12:00 61 50 67.8346 65.7895 60.8828 655.7
$data['id'] 08-01-24 12:00 62 50 66.9937 71.0526 62.1803 654.4
$data['id'] 05-01-24 12:00 59 50 58.7246 69.0476 60.6462 644.4
$data['id'] 04-01-24 12:14 66 66.6667 67.0054 73.8095 60.2211 646.5
$data['id'] 03-01-24 12:00 68 66.6667 71.0027 72.5 62.1548 645
$data['id'] 02-01-24 12:00 73 66.6667 85.7724 76.3158 65.8128 664.1
$data['id'] 29-12-23 12:00 80 83.3333 94.8509 78.5714 66.8847 681
$data['id'] 28-12-23 12:00 80 83.3333 94.7832 78.5714 66.4215 686
$data['id'] 27-12-23 12:00 83 100 95.7317 73.8095 64.4073 684
$data['id'] 22-12-23 12:00 74 83.3333 88.9566 63.0435 63.4311 684.2
$data['id'] 21-12-23 12:00 69 66.6667 84.6206 63.0435 62.898 681.5
$data['id'] 20-12-23 12:00 72 83.3333 86.4499 58.6957 63.4453 678.5
$data['id'] 19-12-23 12:00 74 83.3333 91.1246 61.3636 63.4078 676.8
$data['id'] 18-12-23 12:00 81 100 98.0352 59.5238 67.8351 675.3
$data['id'] 15-12-23 12:00 82 100 100 63.0435 68.6821 694.9
$data['id'] 14-12-23 12:00 82 100 100 63.0435 66.8689 682.5
$data['id'] 13-12-23 12:00 83 100 100 63.0435 70.0484 668.9
$data['id'] 12-12-23 12:00 78 83.3333 100 61.3636 70.8299 663.5
$data['id'] 11-12-23 12:00 74 66.6667 100 59.5238 71.0439 659.6
$data['id'] 08-12-23 12:00 74 66.6667 98.528 63.0435 71.019 649.6
$data['id'] 07-12-23 12:00 71 66.6667 97.2522 52.0503 70.9399 646.6
$data['id'] 06-12-23 12:00 72 66.6667 100 52.1192 71.5201 649
$data['id'] 05-12-23 12:00 72 66.6667 97.8925 52.0557 73.4003 643.3
$data['id'] 04-12-23 12:00 72 66.6667 97.2603 51.992 74.0214 630.6

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.