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DSFIR.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 56 66.6667 76.4205 43.75 37.2474 119.2
$data['id'] 05-09-24 11:00 56 66.6667 78.4703 43.75 38.3499 119.15
$data['id'] 04-09-24 11:00 62 83.3333 83.3788 45.6522 38.071 120.1
$data['id'] 03-09-24 11:00 66 83.3333 93.0481 47.7273 40.2266 119.95
$data['id'] 02-09-24 11:00 62 66.6667 96.5 47.7273 40.2086 122.25
$data['id'] 30-08-24 11:00 68 83.3333 98 47.9167 45.9127 122.95
$data['id'] 29-08-24 11:00 65 66.6667 100 52.0833 45.1699 122.45
$data['id'] 28-08-24 11:00 65 66.6667 100 50 43.756 120.05
$data['id'] 27-08-24 11:00 64 66.6667 97.4081 47.7273 44.7597 119.3
$data['id'] 26-08-24 11:00 67 66.6667 98.8219 47.7273 56.0561 119.45
$data['id'] 23-08-24 11:00 70 83.3333 95.1117 47.9167 56.4103 118.95
$data['id'] 22-08-24 11:00 68 66.6667 100 52.0833 56.2626 119.4
$data['id'] 21-08-24 11:00 64 66.6667 86.4679 50 54.7995 119.6
$data['id'] 20-08-24 11:00 63 66.6667 84.633 47.7273 55.1397 116.45
$data['id'] 19-08-24 11:00 60 66.6667 68.3486 47.7273 58.0234 115.05
$data['id'] 16-08-24 11:00 68 83.3333 79.5872 56.25 55.433 115.5
$data['id'] 15-08-24 11:00 64 66.6667 82.1101 56.25 52.9489 114.9
$data['id'] 14-08-24 11:00 70 83.3333 88.7615 58.6957 52.5239 116.3
$data['id'] 13-08-24 11:00 69 83.3333 85.7798 56.8182 52.712 117.35
$data['id'] 12-08-24 11:00 71 83.3333 95.1835 56.8182 49.427 117.4
$data['id'] 09-08-24 11:00 73 83.3333 97.7443 60.4167 52.3882 119.15
$data['id'] 08-08-24 11:00 72 83.3333 88.7218 64.5833 54.6288 117.8
$data['id'] 07-08-24 11:00 73 83.3333 93.7028 67.3913 49.9474 117.95
$data['id'] 06-08-24 11:00 69 83.3333 78.3375 65.9091 48.8751 114.35
$data['id'] 05-08-24 11:00 63 66.6667 74.3073 61.3636 52.0451 112.8
$data['id'] 02-08-24 11:00 70 83.3333 94.4584 60.4167 44.7422 116.85
$data['id'] 01-08-24 11:00 77 100 99.4962 64.5833 44.1193 117.65
$data['id'] 31-07-24 11:00 77 100 100 67.3913 43.3219 117.75
$data['id'] 30-07-24 11:00 71 83.3333 100 65.9091 37.0466 115.75
$data['id'] 29-07-24 11:00 65 66.6667 96.679 69.0476 29.5782 110.25
$data['id'] 26-07-24 11:00 63 66.6667 93.3579 63.0435 29.6486 111.1
$data['id'] 25-07-24 11:00 63 66.6667 86.7159 67.3913 32.483 110.4
$data['id'] 24-07-24 11:00 66 66.6667 98.868 71.7391 29.9765 111.6
$data['id'] 23-07-24 11:00 64 66.6667 91.3208 70.4545 30.2585 110.2
$data['id'] 22-07-24 11:00 71 83.3333 100 73.8095 29.4137 111.8
$data['id'] 19-07-24 11:00 64 66.6667 92.4303 67.3913 29.9829 110.6
$data['id'] 18-07-24 11:00 72 83.3333 100 71.7391 34.0191 110.35
$data['id'] 17-07-24 11:00 63 66.6667 86.0558 71.7391 31.4172 108.75
$data['id'] 16-07-24 11:00 64 66.6667 79.2829 69.0476 41.2989 108.75
$data['id'] 15-07-24 11:00 72 83.3333 99.2032 69.0476 36.6451 108.75
$data['id'] 12-07-24 11:00 71 83.3333 98.4 67.3913 37.178 111.35
$data['id'] 11-07-24 11:00 72 83.3333 100 71.7391 36.7609 110.45
$data['id'] 10-07-24 11:00 71 83.3333 100 67.3913 36.9381 109.55
$data['id'] 09-07-24 11:00 71 83.3333 100 65.9091 36.8586 108.85
$data['id'] 08-07-24 11:00 68 83.3333 89.2157 64.2857 35.7265 106.9
$data['id'] 05-07-24 11:00 69 83.3333 95.098 60.8696 37.4876 107.2
$data['id'] 04-07-24 11:00 71 83.3333 99.5098 63.0435 40.0315 108.05
$data['id'] 03-07-24 11:00 68 66.6667 100 67.3913 41.1511 108.4
$data['id'] 02-07-24 11:00 59 66.6667 70.1493 59.5238 40.075 106.65
$data['id'] 01-07-24 11:00 62 66.6667 79.1045 64.2857 39.9369 105.95
$data['id'] 28-06-24 11:00 64 66.6667 83.5821 58.3333 49.8346 105.55
$data['id'] 27-06-24 11:00 63 66.6667 79.602 56.25 49.9827 107.05
$data['id'] 26-06-24 11:00 62 66.6667 76.6169 54.3478 50.3899 105.15
$data['id'] 25-06-24 11:00 59 66.6667 68.6567 50 51.3419 104.6
$data['id'] 24-06-24 11:00 53 50 60.199 52.2727 49.9895 104.6
$data['id'] 21-06-24 11:00 53 50 62.6866 52.0833 48.4929 103.55
$data['id'] 20-06-24 11:00 53 50 63.1841 52.0833 48.2231 104.9
$data['id'] 19-06-24 11:00 50 50 52.2388 50 49.0972 104.65
$data['id'] 18-06-24 11:00 41 50 25.8707 47.7273 42.6959 102.4
$data['id'] 17-06-24 11:00 34 33.3333 11.7413 52.2727 39.971 98.78
$data['id'] 14-06-24 11:00 37 33.3333 21.8906 52.0833 42.4353 99.3
$data['id'] 13-06-24 11:00 34 33.3333 12.9353 52.0833 40.7349 98.4
$data['id'] 12-06-24 11:00 31 33.3333 0 47.7273 43.7011 98.3
$data['id'] 07-06-24 11:00 32 33.3333 0 52.0833 43.7841 99.76
$data['id'] 06-06-24 11:00 39 33.3333 22.1476 56.25 44.555 102
$data['id'] 05-06-24 11:00 40 33.3333 23.4899 58.6957 46.6155 103.2
$data['id'] 04-06-24 11:00 34 33.3333 2.01334 54.5455 46.4955 101.7
$data['id'] 03-06-24 11:00 43 50 24.8322 52.2727 45.3326 101.3
$data['id'] 31-05-24 11:00 50 50 55.0336 54.3478 41.9658 105.35
$data['id'] 30-05-24 11:00 50 50 59.0603 52.2727 41.8655 104.8
$data['id'] 29-05-24 11:00 51 50 61.745 52.2727 43.5129 105.75
$data['id'] 28-05-24 11:00 59 50 86.5772 59.5238 43.0224 106.9
$data['id'] 27-05-24 11:00 56 50 74.4966 57.5 42.9068 106.55
$data['id'] 24-05-24 11:00 51 50 59.7315 52.2727 45.9292 105.6
$data['id'] 23-05-24 11:00 58 50 88.5906 52.2727 44.374 106.2
$data['id'] 22-05-24 11:00 67 66.6667 100 56.8182 48.2688 108.05
$data['id'] 21-05-24 11:00 59 50 88.5572 54.7619 45.9963 106.75
$data['id'] 20-05-24 11:00 63 50 100 57.5 45.6344 108
$data['id'] 17-05-24 11:00 63 50 95.6971 61.3636 46.1418 107.8
$data['id'] 16-05-24 11:00 67 66.6667 92.2547 56.8182 53.3082 107.35
$data['id'] 15-05-24 11:00 65 50 95.4212 61.3636 54.8719 107.85
$data['id'] 14-05-24 11:00 60 50 79.8535 59.5238 54.2622 105.3
$data['id'] 13-05-24 11:00 59 50 75.2747 57.5 54.3669 105.15
$data['id'] 10-05-24 11:00 61 50 85.8059 52.2727 56.7117 103.4
$data['id'] 09-05-24 11:00 59 50 80.3113 52.2727 55.7846 105.05
$data['id'] 08-05-24 11:00 69 66.6667 100 52.2727 57.0914 107.15
$data['id'] 07-05-24 11:00 59 50 74.6896 50 61.698 106.05
$data['id'] 06-05-24 11:00 55 50 62.2731 47.5 61.8965 103.1
$data['id'] 03-05-24 11:00 58 50 72.7794 47.7273 63.578 105.05
$data['id'] 02-05-24 11:00 70 66.6667 100 52.2727 63.5545 103.85
$data['id'] 30-04-24 11:00 64 50 90.9264 52.381 64.8454 105.55
$data['id'] 29-04-24 11:00 64 50 92.029 52.5 64.1806 106.2
$data['id'] 26-04-24 11:00 60 50 77.6119 47.7273 67.5592 105.55
$data['id'] 25-04-24 11:00 62 50 83.2978 47.7273 68.9258 102.5
$data['id'] 24-04-24 11:00 62 50 84.375 45.2381 69.7123 104.05
$data['id'] 23-04-24 11:00 65 50 92.5272 47.5 71.1397 106.45
$data['id'] 22-04-24 11:00 63 50 85.0543 47.5 71.9874 105.6
$data['id'] 19-04-24 11:00 59 50 69.4294 43.1818 73.904 103.75
$data['id'] 18-04-24 11:00 58 50 64.3342 47.7273 71.7353 102.65
$data['id'] 17-04-24 11:00 60 50 71.1277 47.619 72.3224 102
$data['id'] 16-04-24 11:00 49 33.3333 55.8424 42.5 68.3163 102.6
$data['id'] 15-04-24 11:00 50 33.3333 57.2011 47.5 65.247 100.6
$data['id'] 12-04-24 11:00 58 50 66.3723 52.2727 65.3844 101.15
$data['id'] 11-04-24 11:00 63 50 85.7337 52.2727 65.0578 101.7
$data['id'] 10-04-24 11:00 61 50 81.3179 50 63.5249 103.1
$data['id'] 09-04-24 11:00 60 50 80.9782 47.5 63.43 103.35
$data['id'] 08-04-24 11:02 62 50 84.3949 52.5 62.5905 104.1
$data['id'] 05-04-24 11:00 64 66.6667 77.4436 59.5238 55.303 103.35
$data['id'] 04-04-24 11:00 66 66.6667 86.5736 56.8182 57.8039 103.25
$data['id'] 03-04-24 11:00 66 66.6667 85.768 57.1429 56.4475 104.85
$data['id'] 02-04-24 11:00 66 66.6667 87.3792 57.5 54.1289 104.55
$data['id'] 28-03-24 11:00 68 66.6667 91.5145 61.3636 54.3078 105.58
$data['id'] 27-03-24 11:00 69 66.6667 94.4146 61.3636 54.834 105.9
$data['id'] 26-03-24 11:00 74 83.3333 98.6036 61.3636 55.6966 105.96
$data['id'] 25-03-24 11:00 75 83.3333 99.7786 64.2857 55.7732 106.86
$data['id'] 22-03-24 11:00 74 83.3333 98.4496 61.3636 55.8169 106.6
$data['id'] 21-03-24 11:00 74 83.3333 100 61.3636 51.9149 105.96
$data['id'] 20-03-24 11:00 72 83.3333 100 56.8182 51.5648 106.34
$data['id'] 19-03-24 11:00 68 83.3333 91.558 47.7273 50.3657 104.26
$data['id'] 18-03-24 11:00 69 83.3333 93.6183 50 51.9432 103.46
$data['id'] 15-03-24 11:00 69 83.3333 90.8489 47.7273 56.0749 101.32
$data['id'] 14-03-24 10:00 71 83.3333 95.6653 52.2727 56.0999 103.06
$data['id'] 13-03-24 10:00 54 66.6667 90.608 56.8182 4.40724 103.52
$data['id'] 12-03-24 10:02 53 66.6667 91.6917 52.2727 5.15416 102.66
$data['id'] 11-03-24 10:02 56 66.6667 100 54.7619 5.44749 104.28
$data['id'] 08-03-24 10:00 53 66.6667 88.1555 52.2727 5.08578 102.74
$data['id'] 07-03-24 10:00 42 50 65.2067 47.7273 5.89056 101.64
$data['id'] 06-03-24 10:00 42 50 66.4405 47.7273 5.38164 98.16
$data['id'] 05-03-24 10:00 50 83.3333 64.0345 47.7273 7.52669 96.41
$data['id'] 04-03-24 12:00 51 83.3333 69.525 45.2381 7.27501 97.87
$data['id'] 01-03-24 12:00 49 83.3333 65.4534 43.1818 7.65527 100.28
$data['id'] 29-02-24 12:00 48 83.3333 65.5768 39.5833 5.41859 99.04
$data['id'] 28-02-24 12:00 41 66.6667 54.2258 41.3043 3.72015 98.04
$data['id'] 27-02-24 12:00 45 66.6667 66.916 43.1818 4.67759 98.47
$data['id'] 26-02-24 12:00 41 66.6667 54.7633 38.6364 4.15923 97.81
$data['id'] 23-02-24 12:00 47 66.6667 69.2527 47.9167 6.1808 97.49
$data['id'] 22-02-24 12:00 55 83.3333 81.9737 47.9167 7.61964 100.16
$data['id'] 21-02-24 12:00 50 66.6667 82.8865 50 2.48474 100.92
$data['id'] 20-02-24 12:00 59 83.3333 98.6309 52.2727 3.12823 102.74
$data['id'] 19-02-24 12:00 56 83.3333 91.9147 47.7273 2.13403 103.6
$data['id'] 16-02-24 12:00 57 83.3333 98.7906 47.9167 0 103.16
$data['id'] 15-02-24 12:00 63 100 100 52.0833 0 103.46
$data['id'] 14-02-24 12:00 50 50 61.8934 50 38.5277 93.2
$data['id'] 13-02-24 12:00 54 66.6667 67.2235 52.2727 31.1682 92.99
$data['id'] 12-02-24 12:00 54 83.3333 56.4041 47.7273 31.9031 93.69
$data['id'] 09-02-24 12:00 58 83.3333 63.8823 52.0833 35.8261 92.19
$data['id'] 08-02-24 12:00 54 66.6667 68.3373 52.0833 29.6857 94.36
$data['id'] 07-02-24 12:00 60 83.3333 74.3039 54.3478 29.1105 94.41
$data['id'] 06-02-24 12:00 58 83.3333 67.7008 52.2727 29.7132 94.19
$data['id'] 05-02-24 12:00 59 66.6667 81.8616 56.8182 33.6183 95.78
$data['id'] 02-02-24 12:00 68 83.3333 97.136 52.0833 42.6189 95.21
$data['id'] 01-02-24 12:00 68 83.3333 98.2498 50 42.7216 97.84
$data['id'] 31-01-24 12:00 68 83.3333 100 52.2727 39.3084 97.97
$data['id'] 30-01-24 12:00 67 83.3333 99.0534 50 35.8635 96.39
$data['id'] 29-01-24 12:00 67 83.3333 100 50 35.0614 97.11
$data['id'] 26-01-24 12:00 66 83.3333 100 47.7273 34.207 96.27
$data['id'] 25-01-24 12:00 67 83.3333 97.3893 45.2381 43.4145 94.93
$data['id'] 24-01-24 12:02 54 66.6667 52.781 42.5 54.6893 91.2
$data['id'] 23-01-24 12:02 48 50 40.0681 44.7368 57.4014 88.19
$data['id'] 22-01-24 12:00 48 50 39.841 44.7368 57.9252 88.73
$data['id'] 19-01-24 12:00 58 66.6667 62.5425 45.2381 57.8816 90.96
$data['id'] 18-01-24 12:00 53 66.6667 45.5164 45.2381 57.1272 89.9
$data['id'] 17-01-24 12:00 59 66.6667 63.7911 47.5 59.0158 90.57
$data['id'] 16-01-24 12:00 63 66.6667 74.2339 50 62.8299 93.11
$data['id'] 15-01-24 12:00 62 66.6667 73.5527 50 59.9228 91.9
$data['id'] 12-01-24 12:00 66 66.6667 82.8435 54.7619 62.0307 92.4
$data['id'] 11-01-24 12:00 57 50 67.1097 50 61.9339 90.06
$data['id'] 10-01-24 12:00 53 50 60.1254 42.5 61.4418 88.53
$data['id'] 09-01-24 12:00 57 50 67.8492 50 61.5655 88.58
$data['id'] 08-01-24 12:00 57 50 68.0044 50 61.5137 88.51
$data['id'] 05-01-24 12:00 59 66.6667 57.779 54.7619 60.2592 87.67
$data['id'] 04-01-24 12:14 69 83.3333 70.9731 59.5238 63.6735 88.17
$data['id'] 03-01-24 12:00 66 66.6667 72.6223 62.5 63.1742 89.32
$data['id'] 02-01-24 12:00 74 83.3333 83.1776 65.7895 65.6548 91.26
$data['id'] 29-12-23 12:00 75 83.3333 89.7196 64.2857 66.3738 91.96
$data['id'] 28-12-23 12:00 75 83.3333 87.7405 64.2857 65.6632 92.11
$data['id'] 27-12-23 12:00 72 83.3333 85.7614 59.5238 60.0577 91.63
$data['id'] 22-12-23 12:00 68 83.3333 82.9577 54.3478 54.77 91.49
$data['id'] 21-12-23 12:00 69 83.3333 85.5965 54.3478 54.5147 91.72
$data['id'] 20-12-23 12:00 70 83.3333 89.7196 54.3478 54.8359 92.56
$data['id'] 19-12-23 12:00 67 83.3333 78.7795 52.2727 56.9214 90.82
$data['id'] 18-12-23 12:00 64 83.3333 66.1353 50 59.3158 88.66
$data['id'] 15-12-23 12:00 54 50 63.0566 45.6522 59.4926 88.14
$data['id'] 14-12-23 12:00 57 50 70.6432 50 59.2659 88.52
$data['id'] 13-12-23 12:00 54 50 56.8994 50 62.0965 86.61
$data['id'] 12-12-23 12:00 62 66.6667 67.4547 52.2727 63.3474 86.32
$data['id'] 11-12-23 12:00 56 50 62.7268 50 62.6142 88.38
$data['id'] 08-12-23 12:00 57 50 63.4964 54.3478 62.0072 87.03
$data['id'] 07-12-23 12:00 52 50 53.6559 41.6168 63.2461 86.66
$data['id'] 06-12-23 12:00 49 50 50.5773 41.2651 56.8495 86.43
$data['id'] 05-12-23 12:00 48 50 48.7081 40.9091 54.7001 85.89
$data['id'] 04-12-23 12:00 49 50 53.7108 41.1585 54.8087 85.51

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.