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INGA.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 51 50 54.4666 68.75 31.9391 15.962
$data['id'] 05-09-24 11:00 53 50 62.4458 68.75 31.3477 16.176
$data['id'] 04-09-24 11:00 51 50 54.9002 67.3913 32.0873 16.11
$data['id'] 03-09-24 11:00 59 66.6667 66.7823 70.4545 33.9821 16.208
$data['id'] 02-09-24 11:00 60 66.6667 71.379 70.4545 35.1532 16.416
$data['id'] 30-08-24 11:00 62 66.6667 70.5985 60.4167 50.8279 16.388
$data['id'] 29-08-24 11:00 59 66.6667 64.7875 56.25 51.2309 16.314
$data['id'] 28-08-24 11:00 59 66.6667 61.5785 58.6957 52.0029 16.12
$data['id'] 27-08-24 11:00 69 66.6667 58.0225 56.8182 98.0155 16.152
$data['id'] 26-08-24 11:00 67 66.6667 53.7728 52.2727 98.0555 16
$data['id'] 23-08-24 11:00 65 66.6667 50.8239 47.9167 98.0609 15.954
$data['id'] 22-08-24 11:00 56 33.3333 47.268 47.9167 98.0642 15.788
$data['id'] 21-08-24 11:00 54 33.3333 41.5438 45.6522 98.1118 15.802
$data['id'] 20-08-24 11:00 51 16.6667 44.2324 47.7273 98.104 15.8
$data['id'] 19-08-24 11:00 53 16.6667 48.569 52.2727 98.0685 15.924
$data['id'] 16-08-24 11:00 50 16.6667 41.2836 47.9167 97.9965 15.702
$data['id'] 15-08-24 11:00 47 16.6667 25.1518 47.9167 98.4424 15.72
$data['id'] 14-08-24 11:00 44 16.6667 23.5039 41.3043 98.4509 15.336
$data['id'] 13-08-24 11:00 44 16.6667 21.3356 43.1818 98.2597 15.302
$data['id'] 12-08-24 11:00 42 16.6667 18.3868 38.6364 98.2496 15.228
$data['id'] 09-08-24 11:00 43 16.6667 20.3816 39.5833 98.2098 15.198
$data['id'] 08-08-24 11:00 36 0 11.1882 35.4167 98.2203 15.11
$data['id'] 07-08-24 11:00 36 0 10.3209 36.9565 98.5223 15.194
$data['id'] 06-08-24 11:00 33 0 0 34.0909 98.6861 14.82
$data['id'] 05-08-24 11:00 38 16.6667 0 38.6364 98.2689 14.954
$data['id'] 02-08-24 11:00 44 50 39.3629 43.75 44.8986 15.69
$data['id'] 01-08-24 11:00 46 50 58.3618 43.75 35.1647 15.95
$data['id'] 31-07-24 11:00 51 50 80.7737 45.6522 28.4303 16.738
$data['id'] 30-07-24 11:00 52 50 81.57 47.7273 29.8206 16.876
$data['id'] 29-07-24 11:00 61 66.6667 96.1319 54.7619 27.8341 16.846
$data['id'] 26-07-24 11:00 64 66.6667 96.3594 58.6957 34.4777 17.02
$data['id'] 25-07-24 11:00 60 66.6667 83.0489 54.3478 37.0643 16.932
$data['id'] 24-07-24 11:00 63 66.6667 95.7907 58.6957 33.7698 17.018
$data['id'] 23-07-24 11:00 65 66.6667 100 61.3636 33.2486 17.086
$data['id'] 22-07-24 11:00 64 66.6667 100 59.5238 32.0571 17.052
$data['id'] 19-07-24 11:00 62 66.6667 90.7205 58.6957 34.3578 16.81
$data['id'] 18-07-24 11:00 74 100 100 63.0435 34.9391 16.996
$data['id'] 17-07-24 11:00 69 83.3333 100 63.0435 33.3477 16.97
$data['id'] 16-07-24 11:00 63 66.6667 93.4722 59.5238 35.4441 16.72
$data['id'] 15-07-24 11:00 70 83.3333 100 64.2857 34.5944 16.7
$data['id'] 12-07-24 11:00 66 66.6667 100 58.6957 41.1384 16.786
$data['id'] 11-07-24 11:00 68 66.6667 100 63.0435 44.4178 16.686
$data['id'] 10-07-24 11:00 62 50 94.198 54.3478 50.3982 16.686
$data['id'] 09-07-24 11:00 69 66.6667 100 61.3636 50.4013 16.526
$data['id'] 08-07-24 11:00 69 66.6667 100 59.5238 50.6807 16.566
$data['id'] 05-07-24 11:00 64 50 99.3744 58.6957 50.6783 16.456
$data['id'] 04-07-24 11:00 70 66.6667 100 63.0435 50.7001 16.636
$data['id'] 03-07-24 11:00 67 66.6667 93.3545 58.6957 50.7428 16.46
$data['id'] 02-07-24 11:00 62 50 88.3967 59.5238 51.0024 16.274
$data['id'] 01-07-24 11:00 61 50 84.4936 59.5238 50.8733 16.372
$data['id'] 28-06-24 11:00 58 50 72.6793 60.4167 50.6783 15.93
$data['id'] 27-06-24 11:00 68 50 63.1857 60.4167 99.384 15.938
$data['id'] 26-06-24 11:00 57 50 65.0844 63.0435 50.7434 15.816
$data['id'] 25-06-24 11:00 55 50 62.8692 59.5238 50.9579 15.852
$data['id'] 24-06-24 11:00 64 50 52.2152 56.8182 99.3195 15.83
$data['id'] 21-06-24 11:00 55 33.3333 42.0886 47.9167 99.3265 15.516
$data['id'] 20-06-24 11:00 57 33.3333 48.5232 47.9167 99.4766 15.662
$data['id'] 19-06-24 11:00 63 50 57.384 45.6522 99.5397 15.58
$data['id'] 18-06-24 11:00 53 50 66.0338 47.7273 50.5644 15.796
$data['id'] 17-06-24 11:00 58 33.3333 51.1604 47.7273 99.8502 15.788
$data['id'] 14-06-24 11:00 40 33.3333 35.1266 47.9167 47.2514 15.312
$data['id'] 13-06-24 11:00 51 50 61.7089 52.0833 43.2297 15.522
$data['id'] 12-06-24 11:00 54 50 74.3671 52.2727 40.5385 16.082
$data['id'] 07-06-24 11:00 61 50 97.8902 56.25 42.4424 16.39
$data['id'] 06-06-24 11:00 56 50 78.2199 56.25 39.6645 16.322
$data['id'] 05-06-24 11:00 55 50 77.3126 54.3478 39.5806 16.128
$data['id'] 04-06-24 11:00 60 66.6667 85.5585 52.2727 36.0502 16.088
$data['id'] 03-06-24 11:00 64 66.6667 100 56.8182 35.4014 16.46
$data['id'] 31-05-24 11:00 63 66.6667 95.6942 58.6957 34.4436 16.334
$data['id'] 30-05-24 11:00 61 66.6667 89.3057 56.8182 33.4858 16.31
$data['id'] 29-05-24 11:00 65 66.6667 88.5246 56.8182 51.1827 16.132
$data['id'] 28-05-24 11:00 66 66.6667 89.4613 59.5238 51.1213 16.334
$data['id'] 27-05-24 11:00 66 66.6667 89.5394 57.5 51.1333 16.194
$data['id'] 24-05-24 11:00 67 66.6667 90.9531 61.3636 51.1884 16.352
$data['id'] 23-05-24 11:00 68 66.6667 92.8339 61.3636 51.1429 16.442
$data['id'] 22-05-24 11:00 71 66.6667 98.6932 65.9091 53.1493 16.458
$data['id'] 21-05-24 11:00 77 83.3333 100 73.8095 53.2028 16.558
$data['id'] 20-05-24 11:00 77 83.3333 100 72.5 53.2102 16.578
$data['id'] 17-05-24 11:00 77 83.3333 97.929 75 53.1296 16.496
$data['id'] 16-05-24 11:00 73 83.3333 92.9386 70.4545 46.7905 16.208
$data['id'] 15-05-24 11:00 74 83.3333 98.175 70.4545 46.8811 16.17
$data['id'] 14-05-24 11:00 71 66.6667 100 73.8095 46.6161 16.444
$data['id'] 13-05-24 11:00 71 66.6667 100 72.5 46.6165 16.176
$data['id'] 10-05-24 11:00 73 83.3333 98.2446 65.9091 46.0558 16.054
$data['id'] 09-05-24 11:00 74 83.3333 97.9049 70.4545 45.8804 16.05
$data['id'] 08-05-24 11:00 73 83.3333 99.547 65.9091 45.8776 16.014
$data['id'] 07-05-24 11:00 74 83.3333 100 69.0476 45.8603 16.154
$data['id'] 06-05-24 11:00 74 83.3333 100 67.5 45.8321 16.02
$data['id'] 03-05-24 11:00 73 83.3333 100 65.9091 45.7857 15.884
$data['id'] 02-05-24 11:00 64 50 97.6882 65.9091 46.2003 15.834
$data['id'] 30-04-24 11:00 53 33.3333 71.8768 59.5238 47.5199 14.866
$data['id'] 29-04-24 11:00 56 33.3333 78.5138 67.5 47.4746 14.854
$data['id'] 26-04-24 11:00 56 33.3333 73.3866 70.4545 47.356 14.9
$data['id'] 25-04-24 11:00 55 33.3333 69.6174 70.4545 47.3953 14.68
$data['id'] 24-04-24 11:00 60 50 76.7353 69.0476 48.0591 14.642
$data['id'] 23-04-24 11:00 70 66.6667 93.3403 72.5 49.4531 15.646
$data['id'] 22-04-24 11:00 67 66.6667 84.5592 67.5 49.445 15.334
$data['id'] 19-04-24 11:00 65 66.6667 81.4293 65.9091 49.3653 15.238
$data['id'] 18-04-24 11:00 66 66.6667 80.5947 70.4545 49.4417 15.14
$data['id'] 17-04-24 11:00 66 66.6667 80.3338 69.0476 49.2089 14.94
$data['id'] 16-04-24 11:00 64 66.6667 75.8477 67.5 49.5395 14.718
$data['id'] 15-04-24 11:00 67 66.6667 82.1596 72.5 49.7555 15.028
$data['id'] 12-04-24 11:00 69 66.6667 87.6891 65.9091 56.856 14.95
$data['id'] 11-04-24 11:00 85 100 100 75 65.1808 15.466
$data['id'] 10-04-24 11:00 82 100 100 73.8095 57.0893 15.808
$data['id'] 09-04-24 11:00 84 100 100 77.5 59.6072 15.676
$data['id'] 08-04-24 11:02 84 100 100 77.5 60.2071 15.746
$data['id'] 05-04-24 11:00 84 100 97.8865 78.5714 59.9429 15.57
$data['id'] 04-04-24 11:00 86 100 100 84.0909 61.6869 15.67
$data['id'] 03-04-24 11:00 86 100 100 83.3333 61.7455 15.518
$data['id'] 02-04-24 11:00 85 100 100 82.5 60.1287 15.32
$data['id'] 28-03-24 11:00 85 100 100 79.5455 61.4459 15.246
$data['id'] 27-03-24 11:00 84 100 100 79.5455 60.2751 14.908
$data['id'] 26-03-24 11:00 85 100 100 79.5455 61.044 14.932
$data['id'] 25-03-24 11:00 84 100 100 76.1905 60.9912 14.698
$data['id'] 22-03-24 11:00 83 100 100 75 59.3807 14.666
$data['id'] 21-03-24 11:00 83 100 97.3118 75 59.83 14.488
$data['id'] 20-03-24 11:00 81 100 95.2381 70.4545 60.808 14.382
$data['id'] 19-03-24 11:00 84 100 100 75 62.6797 14.504
$data['id'] 18-03-24 11:00 84 100 100 73.8095 62.3289 14.27
$data['id'] 15-03-24 11:00 84 100 98.6339 75 62.6533 14.1
$data['id'] 14-03-24 10:00 85 100 99.5446 79.5455 63.6728 14.006
$data['id'] 13-03-24 10:00 87 100 100 84.0909 64.9217 14.11
$data['id'] 12-03-24 10:02 87 100 100 79.5455 71.9157 14.068
$data['id'] 11-03-24 10:02 87 100 100 78.5714 72.225 13.69
$data['id'] 08-03-24 10:00 79 83.3333 85.5658 79.5455 71.1735 13.498
$data['id'] 07-03-24 10:00 72 66.6667 72.5173 79.5455 71.9759 13.344
$data['id'] 06-03-24 10:00 72 66.6667 76.7898 75 71.8875 13.17
$data['id'] 05-03-24 10:00 68 66.6667 64.4342 75 66.7165 13.122
$data['id'] 04-03-24 12:00 67 66.6667 61.6972 73.8095 67.8049 13.028
$data['id'] 01-03-24 12:00 57 50 45.9127 65.9091 69.4584 12.744
$data['id'] 29-02-24 12:00 55 50 40.8591 64.5833 67.6149 12.674
$data['id'] 28-02-24 12:00 56 66.6667 43.282 67.3913 48.9965 12.776
$data['id'] 27-02-24 12:00 53 66.6667 35.793 61.3636 49.0266 12.698
$data['id'] 26-02-24 12:00 49 50 37.6652 61.3636 49.014 12.618
$data['id'] 23-02-24 12:00 49 50 38.6564 60.4167 49.0381 12.704
$data['id'] 22-02-24 12:00 50 50 41.8502 62.5 48.9722 12.708
$data['id'] 21-02-24 12:00 50 50 40.6388 60.8696 49.002 12.624
$data['id'] 20-02-24 12:00 40 16.6667 31.3877 63.6364 49.1025 12.68
$data['id'] 19-02-24 12:00 38 16.6667 25.4405 63.6364 49.1452 12.466
$data['id'] 16-02-24 12:00 38 16.6667 26.8722 62.5 49.0666 12.408
$data['id'] 15-02-24 12:00 37 16.6667 24.6696 58.3333 49.0695 12.372
$data['id'] 14-02-24 12:00 35 16.6667 20.2643 56.5217 49.106 12.274
$data['id'] 13-02-24 12:00 36 16.6667 22.1366 59.0909 49.1014 12.268
$data['id'] 12-02-24 12:00 33 16.6667 15.5287 54.5455 49.1758 12.268
$data['id'] 09-02-24 12:00 25 0 4.51541 50 49.3596 12.078
$data['id'] 08-02-24 12:00 29 16.6667 6.60792 45.8333 49.2805 11.958
$data['id'] 07-02-24 12:00 23 0 0 43.4783 49.4375 11.912
$data['id'] 06-02-24 12:00 33 33.3333 7.13422 45.4545 49.4566 12.17
$data['id'] 05-02-24 12:00 28 16.6667 2.47075 45.4545 49.4642 12.086
$data['id'] 02-02-24 12:00 25 16.6667 0 37.5 49.5222 12.214
$data['id'] 01-02-24 12:00 26 16.6667 0 39.1304 48.2975 12.35
$data['id'] 31-01-24 12:00 56 50 63.2303 40.9091 72.6343 13.186
$data['id'] 30-01-24 12:00 52 50 46.5636 38.0952 75.3087 13.09
$data['id'] 29-01-24 12:00 51 50 48.9796 33.3333 75.4975 13.082
$data['id'] 26-01-24 12:00 53 50 56.8493 31.8182 75.8031 13.112
$data['id'] 25-01-24 12:00 52 50 55.1899 28.5714 76.6309 13
$data['id'] 24-01-24 12:02 52 50 51.7024 30 78.0693 13.016
$data['id'] 23-01-24 12:02 45 33.3333 44.2623 23.6842 79.5262 12.874
$data['id'] 22-01-24 12:00 46 33.3333 43.7579 28.9474 80.2119 12.854
$data['id'] 19-01-24 12:00 44 33.3333 38.5876 26.1905 81.8335 12.768
$data['id'] 18-01-24 12:00 44 33.3333 40.1009 21.4286 81.4011 12.696
$data['id'] 17-01-24 12:00 40 16.6667 42.6229 17.5 83.2597 12.7
$data['id'] 16-01-24 12:00 40 16.6667 46.5164 18.4211 80.5121 12.728
$data['id'] 15-01-24 12:00 48 33.3333 56.6598 23.6842 81.0522 12.892
$data['id'] 12-01-24 12:00 49 33.3333 59.9385 26.1905 79.4534 12.884
$data['id'] 11-01-24 12:00 51 33.3333 61.8853 30.9524 81.1886 12.828
$data['id'] 10-01-24 12:00 50 33.3333 59.8361 27.5 81.3535 12.948
$data['id'] 09-01-24 12:00 52 33.3333 66.291 28.9474 79.4911 13.01
$data['id'] 08-01-24 12:00 59 50 72.1312 34.2105 80.6556 13.214
$data['id'] 05-01-24 12:00 59 50 68.5451 45.2381 75.747 13.256
$data['id'] 04-01-24 12:14 53 33.3333 62.0902 50 68.7926 13.262
$data['id'] 03-01-24 12:00 65 50 82.7869 52.5 78.1923 13.36
$data['id'] 02-01-24 12:00 72 66.6667 88.9344 55.2632 79.3506 13.44
$data['id'] 29-12-23 12:00 74 66.6667 89.0369 64.2857 79.0262 13.514
$data['id'] 28-12-23 12:00 77 66.6667 93.5451 69.0476 80.1078 13.548
$data['id'] 27-12-23 12:00 81 83.3333 94.1599 69.0476 80.5374 13.656
$data['id'] 22-12-23 12:00 80 83.3333 94.6721 63.0435 79.9132 13.582
$data['id'] 21-12-23 12:00 73 66.6667 89.5492 58.6957 78.7819 13.568
$data['id'] 20-12-23 12:00 74 66.6667 91.9057 63.0435 77.6982 13.636
$data['id'] 19-12-23 12:00 87 100 99.4877 70.4545 78.8048 13.676
$data['id'] 18-12-23 12:00 88 100 100 73.8095 79.2729 13.73
$data['id'] 15-12-23 12:00 86 100 100 67.3913 78.4178 13.7
$data['id'] 14-12-23 12:00 85 100 100 67.3913 76.4792 13.618
$data['id'] 13-12-23 12:00 85 100 98.5792 67.3913 77.9386 13.57
$data['id'] 12-12-23 12:00 85 100 99.7766 65.9091 77.6081 13.638
$data['id'] 11-12-23 12:00 84 100 98.8385 64.2857 76.1638 13.556
$data['id'] 08-12-23 12:00 86 100 100 67.3913 76.8491 13.51
$data['id'] 07-12-23 12:00 74 66.6667 99.3252 53.3069 76.9543 13.316
$data['id'] 06-12-23 12:00 74 66.6667 100 53.3775 78.1846 13.27
$data['id'] 05-12-23 12:00 70 50 100 53.3157 78.3226 13.056
$data['id'] 04-12-23 12:00 70 50 100 53.2537 76.9937 12.944

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.