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SHELL.AS Stock Data

Download SHELL.AS GF Data (.xslx)
id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 06-09-24 11:00 36 0 0 47.9167 99.8371 30.235
$data['id'] 05-09-24 11:00 42 16.6667 0 52.0833 99.9337 30.965
$data['id'] 04-09-24 11:00 42 16.6667 0 54.3478 99.8207 31.02
$data['id'] 03-09-24 11:00 54 50 10.9023 56.8182 99.9687 31.345
$data['id'] 02-09-24 11:00 58 50 25.3759 56.8182 99.9854 32.21
$data['id'] 30-08-24 11:00 60 50 37.2181 56.25 99.3722 32.105
$data['id'] 29-08-24 11:00 54 50 20.6767 47.9167 99.1597 32.555
$data['id'] 28-08-24 11:00 55 50 24.0601 50 99.1436 32.355
$data['id'] 27-08-24 11:00 62 50 42.4812 56.8182 98.8789 32.535
$data['id'] 26-08-24 11:00 57 50 29.3233 52.2727 98.9305 32.655
$data['id'] 23-08-24 11:00 55 50 21.8046 52.0833 98.9461 32.31
$data['id'] 22-08-24 11:00 53 50 17.4812 47.9167 98.9358 32.08
$data['id'] 21-08-24 11:00 48 33.3333 11.8421 50 98.894 32.2
$data['id'] 20-08-24 11:00 53 33.3333 31.2031 52.2727 99.027 32.345
$data['id'] 19-08-24 11:00 61 50 47.1805 47.7273 99.2095 33.255
$data['id'] 16-08-24 11:00 62 50 49.2482 52.0833 99.2067 32.95
$data['id'] 15-08-24 11:00 60 50 45.3008 47.9167 99.0992 33.085
$data['id'] 14-08-24 11:00 51 50 56.579 50 51.0132 32.975
$data['id'] 13-08-24 11:00 61 50 49.8121 47.7273 98.9955 32.88
$data['id'] 12-08-24 11:00 60 50 47.1805 47.7273 99.0014 33.035
$data['id'] 09-08-24 11:00 59 50 39.6617 47.9167 99.0178 32.74
$data['id'] 08-08-24 11:00 53 50 26.1278 39.5833 99.0239 32.62
$data['id'] 07-08-24 11:00 46 33.3333 11.0902 41.3043 99.3024 32.535
$data['id'] 06-08-24 11:00 44 33.3333 8.08271 38.6364 99.2977 31.825
$data['id'] 05-08-24 11:00 41 33.3333 0 34.0909 99.2173 31.61
$data['id'] 02-08-24 11:00 47 50 59.3182 35.4167 44.1121 32.735
$data['id'] 01-08-24 11:00 58 50 94.3182 43.75 46.8941 33.43
$data['id'] 31-07-24 11:00 52 50 74.3183 41.3043 46.0488 33.765
$data['id'] 30-07-24 11:00 42 50 43.1818 38.6364 37.9569 33.085
$data['id'] 29-07-24 11:00 50 50 65.4546 45.2381 42.5933 33.06
$data['id'] 26-07-24 11:00 50 50 57.7273 50 43.0545 33.09
$data['id'] 25-07-24 11:00 37 33.3333 29.5455 45.6522 41.4655 32.935
$data['id'] 24-07-24 11:00 39 33.3333 36.3638 47.8261 41.4675 32.97
$data['id'] 23-07-24 11:00 47 50 52.1253 47.7273 40.1359 32.82
$data['id'] 22-07-24 11:00 49 50 54.0131 54.7619 40.6246 33.35
$data['id'] 19-07-24 11:00 54 50 70.4989 58.6957 37.204 33.34
$data['id'] 18-07-24 11:00 55 50 73.5358 63.0435 35.5475 33.885
$data['id'] 17-07-24 11:00 50 50 53.5792 63.0435 34.3087 33.445
$data['id'] 16-07-24 11:00 51 50 59.0022 64.2857 33.0948 33.315
$data['id'] 15-07-24 11:00 55 50 70.0651 69.0476 32.858 33.58
$data['id'] 12-07-24 11:00 54 50 73.5358 63.0435 33.2774 33.58
$data['id'] 11-07-24 11:00 54 50 70.4989 63.0435 32.9641 33.51
$data['id'] 10-07-24 11:00 52 50 66.1606 58.6957 34.123 33.665
$data['id'] 09-07-24 11:00 51 50 66.5943 56.8182 34.1163 33.585
$data['id'] 08-07-24 11:00 52 50 66.8113 59.5238 34.1832 33.67
$data['id'] 05-07-24 11:00 63 66.6667 89.371 67.3913 31.0322 33.905
$data['id'] 04-07-24 11:00 62 66.6667 88.2863 67.3913 28.5121 34.32
$data['id'] 03-07-24 11:00 59 66.6667 80.9111 63.0435 27.5348 33.845
$data['id'] 02-07-24 11:00 64 66.6667 84.8157 64.2857 40.5922 34.015
$data['id'] 01-07-24 11:00 57 50 77.2235 64.2857 39.0018 33.94
$data['id'] 28-06-24 11:00 55 50 70.2821 60.4167 40.946 33.585
$data['id'] 27-06-24 11:00 50 50 56.3993 56.25 40.2754 33.345
$data['id'] 26-06-24 11:00 51 50 59.6529 58.6957 38.1651 33.11
$data['id'] 25-06-24 11:00 49 50 51.6195 54.7619 40.9803 33.38
$data['id'] 24-06-24 11:00 45 50 36.0325 56.8182 37.5442 33.225
$data['id'] 21-06-24 11:00 40 50 28.3401 47.9167 37.7359 32.81
$data['id'] 20-06-24 11:00 40 50 24.6964 52.0833 36.8253 32.845
$data['id'] 19-06-24 11:00 39 50 20.0406 50 36.8058 32.59
$data['id'] 18-06-24 11:00 35 50 10.1215 43.1818 37.9917 32.47
$data['id'] 17-06-24 11:00 36 50 10.3239 47.7273 37.9727 32.37
$data['id'] 14-06-24 11:00 36 50 14.1701 43.75 37.4949 32.265
$data['id'] 13-06-24 11:00 37 50 24.4275 39.5833 37.4364 32.415
$data['id'] 12-06-24 11:00 50 50 59.7419 47.7273 42.9821 32.61
$data['id'] 07-06-24 11:00 42 50 39.6129 39.5833 39.1264 32.33
$data['id'] 06-06-24 11:00 43 50 37.9355 43.75 41.9125 32.265
$data['id'] 05-06-24 11:00 43 50 37.2903 45.6522 42.5994 32.155
$data['id'] 04-06-24 11:00 39 33.3333 40.431 43.1818 41.0204 32.09
$data['id'] 03-06-24 11:00 52 50 71.6097 52.2727 35.9521 32.9
$data['id'] 31-05-24 11:00 46 33.3333 67.2093 50 35.9901 33.225
$data['id'] 30-05-24 11:00 45 33.3333 64.6861 47.7273 36.1203 33.005
$data['id'] 29-05-24 11:00 53 50 74.0944 47.7273 40.3472 33.04
$data['id'] 28-05-24 11:00 47 50 59.83 45.2381 35.4158 32.77
$data['id'] 27-05-24 11:00 49 50 65.3082 47.5 35.0092 32.835
$data['id'] 24-05-24 11:00 44 33.3333 62.654 47.7273 34.4712 32.705
$data['id'] 23-05-24 11:00 49 50 63.4123 52.2727 34.0017 32.705
$data['id'] 22-05-24 11:00 49 50 64.9289 47.7273 33.4745 32.59
$data['id'] 21-05-24 11:00 48 50 66.4455 45.2381 32.7283 33.025
$data['id'] 20-05-24 11:00 51 50 73.1154 47.5 36.8229 32.915
$data['id'] 17-05-24 11:00 49 50 71.1172 43.1818 35.6921 32.945
$data['id'] 16-05-24 11:00 52 33.3333 69.119 47.7273 60.5078 33.14
$data['id'] 15-05-24 11:00 69 66.6667 90.554 52.2727 70.095 33.61
$data['id'] 14-05-24 11:00 69 66.6667 94.1871 50 67.1417 33.955
$data['id'] 13-05-24 11:00 71 66.6667 98.1835 57.5 63.7298 34.345
$data['id'] 10-05-24 11:00 66 66.6667 94.3687 52.2727 53.1022 34.38
$data['id'] 09-05-24 11:00 65 66.6667 88.3742 52.2727 53.9395 33.975
$data['id'] 08-05-24 11:00 63 66.6667 84.287 52.2727 51.6647 33.79
$data['id'] 07-05-24 11:00 65 66.6667 90.4632 54.7619 51.5288 33.885
$data['id'] 06-05-24 11:00 64 66.6667 86.5577 52.5 50.411 33.835
$data['id'] 03-05-24 11:00 66 66.6667 85.6494 61.3636 52.4008 33.455
$data['id'] 02-05-24 11:00 63 66.6667 80.3815 56.8182 51.444 33.855
$data['id'] 30-04-24 11:00 72 83.3333 90.0091 64.2857 53.3656 33.75
$data['id'] 29-04-24 11:00 73 83.3333 93.6422 67.5 49.7532 34.04
$data['id'] 26-04-24 11:00 71 83.3333 90.1907 61.3636 49.7473 34.04
$data['id'] 25-04-24 11:00 76 100 93.3697 61.3636 49.601 34.05
$data['id'] 24-04-24 11:00 75 100 92.3706 59.5238 49.5747 33.995
$data['id'] 23-04-24 11:00 75 100 89.1008 62.5 49.5841 33.925
$data['id'] 22-04-24 11:00 70 83.3333 85.4678 62.5 49.6158 33.93
$data['id'] 19-04-24 11:00 67 83.3333 73.842 61.3636 49.5298 33.45
$data['id'] 18-04-24 11:00 69 83.3333 78.9282 65.9091 49.6006 33.46
$data['id'] 17-04-24 11:00 70 83.3333 81.8347 69.0476 49.6 33.57
$data['id'] 16-04-24 11:00 70 83.3333 82.5613 67.5 49.6855 33.43
$data['id'] 15-04-24 11:00 77 100 88.9192 72.5 49.8101 34
$data['id'] 12-04-24 11:00 84 100 100 79.5455 57.6784 34.52
$data['id'] 11-04-24 11:00 86 100 100 84.0909 60.6071 33.6
$data['id'] 10-04-24 11:00 86 100 100 83.3333 60.9938 33.655
$data['id'] 09-04-24 11:00 85 100 100 82.5 60.5278 33.145
$data['id'] 08-04-24 11:02 84 100 100 77.5 60.9913 32.99
$data['id'] 05-04-24 11:00 82 100 100 69.0476 60.2709 32.505
$data['id'] 04-04-24 11:00 81 100 100 65.9091 60.1809 32.43
$data['id'] 03-04-24 11:00 79 100 98.6163 59.5238 59.6918 32.28
$data['id'] 02-04-24 11:00 80 100 100 62.5 60.8346 31.92
$data['id'] 28-03-24 11:00 75 83.3333 88.9408 61.3636 67.6396 30.98
$data['id'] 27-03-24 11:00 74 83.3333 87.0717 56.8182 68.9097 30.73
$data['id'] 26-03-24 11:00 84 100 100 65.9091 71.4064 31.12
$data['id'] 25-03-24 11:00 84 100 100 64.2857 72.0336 31.2
$data['id'] 22-03-24 11:00 81 100 100 56.8182 68.8955 30.9
$data['id'] 21-03-24 11:00 77 83.3333 100 56.8182 68.9425 30.835
$data['id'] 20-03-24 11:00 71 66.6667 93.5425 56.8182 68.6559 30.59
$data['id'] 19-03-24 11:00 73 66.6667 100 56.8182 71.4233 30.66
$data['id'] 18-03-24 11:00 68 50 100 54.7619 69.8979 30.27
$data['id'] 15-03-24 11:00 66 50 89.1304 56.8182 70.1313 30.13
$data['id'] 14-03-24 10:00 63 50 83.3992 52.2727 68.8875 29.975
$data['id'] 13-03-24 10:00 55 50 60.0791 43.1818 68.1111 29.85
$data['id'] 12-03-24 10:02 56 50 58.8933 47.7273 68.7947 29.555
$data['id'] 11-03-24 10:02 53 50 50 45.2381 69.3346 29.295
$data['id'] 08-03-24 10:00 59 50 62.0554 56.8182 68.8227 29.345
$data['id'] 07-03-24 10:00 56 50 49.8024 56.8182 68.8325 29.365
$data['id'] 06-03-24 10:00 56 50 49.0119 56.8182 70.9754 29.38
$data['id'] 05-03-24 10:00 52 50 32.6087 56.8182 69.8664 29.045
$data['id'] 04-03-24 12:00 59 50 54.9407 59.5238 71.5463 29.11
$data['id'] 01-03-24 12:00 58 50 52.7668 56.8182 73.0608 29.445
$data['id'] 29-02-24 12:00 54 50 42.6878 52.0833 71.5769 29.1
$data['id'] 28-02-24 12:00 54 50 46.2451 54.3478 65.9059 29.065
$data['id'] 27-02-24 12:00 55 50 49.4071 56.8182 65.6573 29.31
$data['id'] 26-02-24 12:00 54 50 46.0474 56.8182 64.7695 29.19
$data['id'] 23-02-24 12:00 60 50 60.672 64.5833 65.7308 29.575
$data['id'] 22-02-24 12:00 63 50 71.3439 68.75 63.9091 29.68
$data['id'] 21-02-24 12:00 60 50 60.4743 67.3913 64.1061 29.605
$data['id'] 20-02-24 12:00 63 50 68.3795 70.4545 65.5381 29.33
$data['id'] 19-02-24 12:00 61 50 64.4269 65.9091 65.604 29.695
$data['id'] 16-02-24 12:00 57 50 58.498 56.25 66.056 29.535
$data['id'] 15-02-24 12:00 49 50 36.166 52.0833 61.2373 29.155
$data['id'] 14-02-24 12:00 65 66.6667 67.3913 58.6957 69.3407 29.61
$data['id'] 13-02-24 12:00 64 66.6667 73.3202 56.8182 62.9927 29.655
$data['id'] 12-02-24 12:00 62 66.6667 65.8103 56.8182 62.1804 29.62
$data['id'] 09-02-24 12:00 61 66.6667 64.0316 52.0833 62.0752 29.505
$data['id'] 08-02-24 12:00 55 66.6667 50.9881 43.75 61.7614 29.4
$data['id'] 07-02-24 12:00 56 66.6667 52.5692 45.6522 61.6049 29.35
$data['id'] 06-02-24 12:00 58 66.6667 59.8814 47.7273 59.7065 29.515
$data['id'] 05-02-24 12:00 52 50 52.1739 47.7273 60.6522 29.155
$data['id'] 02-02-24 12:00 51 50 54.5627 47.9167 52.58 29.185
$data['id'] 01-02-24 12:00 54 50 69.0115 50 50.8912 29.65
$data['id'] 31-01-24 12:00 52 50 51.5209 52.2727 57.1611 29.135
$data['id'] 30-01-24 12:00 46 33.3333 45.9107 50 55.5315 29.23
$data['id'] 29-01-24 12:00 46 33.3333 49.2565 50 52.6692 29.14
$data['id'] 26-01-24 12:00 41 33.3333 30.2564 47.7273 54.8675 28.77
$data['id'] 25-01-24 12:00 33 16.6667 14.359 45.2381 58.3307 28.41
$data['id'] 24-01-24 12:02 28 16.6667 1.36749 37.5 59.802 28.175
$data['id'] 23-01-24 12:02 29 16.6667 2.22224 39.4737 59.9398 28.115
$data['id'] 22-01-24 12:00 23 0 0 34.2105 59.6729 27.98
$data['id'] 19-01-24 12:00 30 16.6667 0.791127 45.2381 57.6596 27.98
$data['id'] 18-01-24 12:00 30 16.6667 0 47.619 57.3718 28.1
$data['id'] 17-01-24 12:00 29 16.6667 0 47.5 55.6179 28.12
$data['id'] 16-01-24 12:00 32 16.6667 2.43905 50 59.5283 28.705
$data['id'] 15-01-24 12:00 38 33.3333 7.74751 55.2632 58.9214 28.98
$data['id'] 12-01-24 12:00 34 16.6667 13.1995 50 57.1134 28.985
$data['id'] 11-01-24 12:00 31 16.6667 1.6176 50 58.8872 28.755
$data['id'] 10-01-24 12:00 39 50 0 47.5 60.5803 28.86
$data['id'] 09-01-24 12:00 41 50 4.32526 55.2632 58.3476 29.295
$data['id'] 08-01-24 12:00 45 50 13.1119 55.2632 65.4003 29.385
$data['id'] 05-01-24 12:00 51 50 33.042 54.7619 66.8025 30.265
$data['id'] 04-01-24 12:14 59 66.6667 49.4756 54.7619 66.5145 30.575
$data['id'] 03-01-24 12:00 46 50 20.979 47.5 67.484 30.52
$data['id'] 02-01-24 12:00 48 50 27.541 50 65.8868 30.085
$data['id'] 29-12-23 12:00 45 50 13.6066 50 67.807 29.775
$data['id'] 28-12-23 12:00 43 50 11.4754 45.2381 67.102 29.735
$data['id'] 27-12-23 12:00 48 50 20.8197 54.7619 66.9016 29.825
$data['id'] 22-12-23 12:00 48 50 24.4262 54.3478 65.6433 29.925
$data['id'] 21-12-23 12:00 45 50 16.7213 50 66.2084 29.885
$data['id'] 20-12-23 12:00 47 50 22.623 50 66.8093 30.21
$data['id'] 19-12-23 12:00 37 33.3333 11.1475 43.1818 62.4081 29.85
$data['id'] 18-12-23 12:00 38 33.3333 10.6558 45.2381 63.0174 29.835
$data['id'] 15-12-23 12:00 40 33.3333 16.3934 50 61.2272 29.53
$data['id'] 14-12-23 12:00 38 33.3333 11.4754 50 58.121 29.65
$data['id'] 13-12-23 12:00 28 16.6667 0 45.6522 51.2972 29.43
$data['id'] 12-12-23 12:00 36 33.3333 13.7705 47.7273 51.9921 29.535
$data['id'] 11-12-23 12:00 35 33.3333 10.6558 45.2381 51.4702 29.8
$data['id'] 08-12-23 12:00 33 16.6667 10.1639 54.3478 51.0718 29.81
$data['id'] 07-12-23 12:00 34 33.3333 0 54.2328 52.1999 29.365
$data['id'] 06-12-23 12:00 37 33.3333 10.8014 54.3046 53.5007 29.5
$data['id'] 05-12-23 12:00 38 33.3333 12.0209 54.3767 52.4121 29.96
$data['id'] 04-12-23 12:00 36 33.3333 9.40768 54.4489 49.8092 30.02

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.