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PRX.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 52 50 64.1534 64.5833 33.0279 32.345
$data['id'] 05-09-24 11:00 55 50 76.455 64.5833 32.031 33.445
$data['id'] 04-09-24 11:00 54 50 71.9577 63.0435 33.2212 33.415
$data['id'] 03-09-24 11:00 59 50 77.977 70.4545 38.8607 33.425
$data['id'] 02-09-24 11:00 56 50 70.0252 65.9091 40.2733 33.555
$data['id'] 30-08-24 11:00 57 50 76.1965 64.5833 41.2036 33.65
$data['id'] 29-08-24 11:00 53 50 58.3124 64.5833 42.5736 33.035
$data['id'] 28-08-24 11:00 55 50 65.1133 67.3913 41.1482 32.7
$data['id'] 27-08-24 11:00 56 50 66.3728 65.9091 41.7254 33.125
$data['id'] 26-08-24 11:00 59 66.6667 70.7809 61.3636 40.8319 33.055
$data['id'] 23-08-24 11:00 58 66.6667 70.9068 56.25 41.0575 33.415
$data['id'] 22-08-24 11:00 59 66.6667 76.3225 52.0833 41.5676 33.345
$data['id'] 21-08-24 11:00 51 50 62.2166 50 41.9215 33.22
$data['id'] 20-08-24 11:00 50 50 62.4685 47.7273 42.3931 33.025
$data['id'] 19-08-24 11:00 52 50 65.869 52.2727 42.1544 33.47
$data['id'] 16-08-24 11:00 52 50 66.1209 47.9167 45.8107 33.175
$data['id'] 15-08-24 11:00 47 50 51.1336 43.75 46.8974 33.035
$data['id'] 14-08-24 11:00 58 66.6667 75.9445 45.6522 44.9079 32.475
$data['id'] 13-08-24 11:00 50 50 65.869 43.1818 44.3213 33.22
$data['id'] 12-08-24 11:00 47 50 55.1638 38.6364 46.2035 32.885
$data['id'] 09-08-24 11:00 46 50 46.5995 43.75 46.7328 32.275
$data['id'] 08-08-24 11:00 54 50 29.8489 39.5833 99.8586 32.195
$data['id'] 07-08-24 11:00 34 33.3333 20.5772 36.9565 48.1454 31.7
$data['id'] 06-08-24 11:00 23 16.6667 0 34.0909 44.6257 30.7
$data['id'] 05-08-24 11:00 25 16.6667 0 38.6364 45.9242 30.84
$data['id'] 02-08-24 11:00 29 33.3333 2.25227 39.5833 43.0106 31.28
$data['id'] 01-08-24 11:00 34 33.3333 17.8933 43.75 43.1049 32.015
$data['id'] 31-07-24 11:00 38 50 19.2838 41.3043 43.8279 32.065
$data['id'] 30-07-24 11:00 31 50 0 34.0909 42.7939 31.825
$data['id'] 29-07-24 11:00 34 50 2.97027 40.4762 42.9727 31.55
$data['id'] 26-07-24 11:00 33 50 2.67492 36.9565 42.9375 31.85
$data['id'] 25-07-24 11:00 32 50 0 36.9565 44.4972 31.78
$data['id'] 24-07-24 11:00 32 50 0 36.9565 43.4436 32.17
$data['id'] 23-07-24 11:00 34 50 7.81247 38.6364 43.2363 32.555
$data['id'] 22-07-24 11:00 36 50 15.9598 40.4762 41.4843 32.99
$data['id'] 19-07-24 11:00 31 50 0 36.9565 37.2607 32.13
$data['id'] 18-07-24 11:00 33 50 4.87186 41.3043 36.654 32.975
$data['id'] 17-07-24 11:00 31 50 1.41026 36.9565 36.3915 32.855
$data['id'] 16-07-24 11:00 34 50 7.94875 40.4762 39.6848 32.95
$data['id'] 15-07-24 11:00 38 50 28.9744 40.4762 33.1651 33.67
$data['id'] 12-07-24 11:00 39 50 35.8323 41.3043 28.9298 34.5
$data['id'] 11-07-24 11:00 37 50 35.5817 41.3043 25.0561 33.25
$data['id'] 10-07-24 11:00 34 50 28.1525 36.9565 23.8919 33
$data['id'] 09-07-24 11:00 34 50 28.5435 34.0909 27.0794 32.805
$data['id'] 08-07-24 11:00 37 50 36.8014 35.7143 27.1236 33.03
$data['id'] 05-07-24 11:00 38 50 40.0688 36.9565 26.5401 32.785
$data['id'] 04-07-24 11:00 40 50 42.3044 41.3043 26.729 33.19
$data['id'] 03-07-24 11:00 43 50 53.4267 41.3043 27.8735 33.26
$data['id'] 02-07-24 11:00 42 50 52.1954 40.4762 26.6715 32.87
$data['id'] 01-07-24 11:00 45 50 59.6166 45.2381 25.4691 33.045
$data['id'] 28-06-24 11:00 46 50 61.043 47.9167 27.1044 33.305
$data['id'] 27-06-24 11:00 45 50 58.589 43.75 30.4205 33.36
$data['id'] 26-06-24 11:00 48 50 70.1227 45.6522 29.2217 33.94
$data['id'] 25-06-24 11:00 47 50 64.1104 45.2381 32.6121 33.815
$data['id'] 24-06-24 11:00 52 50 78.4662 52.2727 29.9423 34.565
$data['id'] 21-06-24 11:00 47 50 71.411 39.5833 29.1305 34.21
$data['id'] 20-06-24 11:00 49 50 73.4969 43.75 29.2322 34.365
$data['id'] 19-06-24 11:00 48 50 72.1472 41.3043 29.212 34.365
$data['id'] 18-06-24 11:00 45 50 65.8282 38.6364 27.8373 33.94
$data['id'] 17-06-24 11:00 46 50 68.2209 38.6364 27.5366 34.155
$data['id'] 14-06-24 11:00 46 50 70.6749 39.5833 27.6914 34.005
$data['id'] 13-06-24 11:00 50 50 75.9509 47.9167 30.0943 34.305
$data['id'] 12-06-24 11:00 48 50 68.8343 47.7273 28.3584 34.665
$data['id'] 07-06-24 11:00 51 50 70.9283 47.9167 37.0801 33.915
$data['id'] 06-06-24 11:00 52 50 74.1523 47.9167 37.0546 34.14
$data['id'] 05-06-24 11:00 47 33.3333 71.6509 45.6522 39.3826 34.065
$data['id'] 04-06-24 11:00 50 50 68.7738 43.1818 39.4249 33.94
$data['id'] 03-06-24 11:00 57 66.6667 73.9726 47.7273 41.3368 33.93
$data['id'] 31-05-24 11:00 55 66.6667 62.1707 50 42.0896 33.185
$data['id'] 30-05-24 11:00 55 66.6667 66.9295 47.7273 38.7048 34.105
$data['id'] 29-05-24 11:00 57 66.6667 72.1872 47.7273 42.2254 33.915
$data['id'] 28-05-24 11:00 59 66.6667 80.0736 50 39.9922 34.56
$data['id'] 27-05-24 11:00 58 66.6667 79.5479 47.5 40.0508 34.835
$data['id'] 24-05-24 11:00 58 66.6667 78.9288 47.7273 42.2087 34.65
$data['id'] 23-05-24 11:00 60 66.6667 82.1032 52.2727 42.7919 34.82
$data['id'] 22-05-24 11:00 66 83.3333 84.6599 56.8182 42.0947 34.985
$data['id'] 21-05-24 11:00 67 83.3333 83.1163 59.5238 45.4411 35.155
$data['id'] 20-05-24 11:00 70 83.3333 88.5085 62.5 47.9116 35.235
$data['id'] 17-05-24 11:00 76 100 93.3396 65.9091 46.2834 35.71
$data['id'] 16-05-24 11:00 78 100 97.3275 61.3636 55.8084 36.495
$data['id'] 15-05-24 11:00 77 100 97.5745 56.8182 55.1433 36.095
$data['id'] 14-05-24 11:00 78 100 100 59.5238 54.5139 35.8
$data['id'] 13-05-24 11:00 77 100 100 57.5 54.2853 34.68
$data['id'] 10-05-24 11:00 73 100 98.8028 43.1818 52.7777 33.89
$data['id'] 09-05-24 11:00 74 100 95.4545 47.7273 53.9584 33.795
$data['id'] 08-05-24 11:00 67 83.3333 90.5844 43.1818 52.8765 32.89
$data['id'] 07-05-24 11:00 74 100 98.0519 45.2381 52.8832 33.225
$data['id'] 06-05-24 11:00 75 100 100 47.5 53.0383 33.74
$data['id'] 03-05-24 11:00 74 100 100 47.7273 51.897 33.235
$data['id'] 02-05-24 11:00 75 100 100 47.7273 54.5305 32.795
$data['id'] 30-04-24 11:00 72 83.3333 100 50 56.3216 31.475
$data['id'] 29-04-24 11:00 73 83.3333 100 52.5 56.1717 31.57
$data['id'] 26-04-24 11:00 74 83.3333 100 56.8182 56.413 31.67
$data['id'] 25-04-24 11:00 73 83.3333 97.3283 56.8182 58.2534 30.74
$data['id'] 24-04-24 11:00 78 100 100 59.5238 55.3525 31.205
$data['id'] 23-04-24 11:00 65 50 100 57.5 55.879 31
$data['id'] 22-04-24 11:00 65 50 98.9861 52.5 60.0129 29.815
$data['id'] 19-04-24 11:00 55 50 54.3726 52.2727 65.7508 28.555
$data['id'] 18-04-24 11:00 58 50 65.1458 52.2727 67.6943 28.69
$data['id'] 17-04-24 11:00 61 50 74.2712 54.7619 67.2108 28.57
$data['id'] 16-04-24 11:00 61 50 74.0178 52.5 69.6388 28.585
$data['id'] 15-04-24 11:00 75 83.3333 87.8327 60 70.6512 29.205
$data['id'] 12-04-24 11:00 78 83.3333 100 61.3636 70.2733 29.35
$data['id'] 11-04-24 11:00 79 83.3333 100 65.9091 70.6267 29.785
$data['id'] 10-04-24 11:00 78 83.3333 100 64.2857 65.5919 30.005
$data['id'] 09-04-24 11:00 77 83.3333 94.8684 62.5 70.1245 29.235
$data['id'] 08-04-24 11:02 78 83.3333 93.458 67.5 70.8896 29.715
$data['id'] 05-04-24 11:00 73 66.6667 90.511 64.2857 71.7931 29.375
$data['id'] 04-04-24 11:00 75 66.6667 98.4185 65.9091 72.5934 29.64
$data['id'] 03-04-24 11:00 72 66.6667 92.8224 59.5238 69.0197 29.48
$data['id'] 02-04-24 11:00 73 66.6667 99.7567 62.5 64.4864 29.525
$data['id'] 28-03-24 11:00 67 66.6667 80.9002 56.8182 66.0998 29.045
$data['id'] 27-03-24 11:00 65 66.6667 79.1971 52.2727 64.862 28.74
$data['id'] 26-03-24 11:00 61 66.6667 64.7202 52.2727 63.8837 28.3
$data['id'] 25-03-24 11:00 59 66.6667 52.0681 52.381 66.1089 27.65
$data['id'] 22-03-24 11:00 52 50 47.0803 47.7273 64.7253 27.755
$data['id'] 21-03-24 11:00 55 50 54.9879 52.2727 65.5247 27.92
$data['id'] 20-03-24 11:00 51 50 38.3212 52.2727 67.0647 27.435
$data['id'] 19-03-24 11:00 49 50 34.5499 47.7273 65.1583 27.175
$data['id'] 18-03-24 11:00 51 50 47.202 50 60.3094 27.36
$data['id'] 15-03-24 11:00 48 50 37.9562 43.1818 61.469 27.195
$data['id'] 14-03-24 10:00 51 50 50.9732 43.1818 61.9972 27.395
$data['id'] 13-03-24 10:00 51 50 49.5134 43.1818 62.2817 27.77
$data['id'] 12-03-24 10:02 49 50 44.7689 38.6364 62.8233 27.62
$data['id'] 11-03-24 10:02 44 50 23.601 35.7143 67.5221 26.715
$data['id'] 08-03-24 10:00 39 33.3333 18.4915 38.6364 67.6597 26.37
$data['id'] 07-03-24 10:00 36 33.3333 12.2871 34.0909 67.9113 26.45
$data['id'] 06-03-24 10:00 39 33.3333 18.6131 38.6364 67.5025 26.315
$data['id'] 05-03-24 10:00 31 16.6667 3.98548 38.6364 68.1569 25.98
$data['id'] 04-03-24 12:00 39 33.3333 24.2458 40.4762 60.2762 26.495
$data['id'] 01-03-24 12:00 39 33.3333 25.4748 38.6364 61.3914 27.135
$data['id'] 29-02-24 12:00 39 33.3333 25.4678 39.5833 60.8075 27.035
$data['id'] 28-02-24 12:00 43 33.3333 36.1746 41.3043 61.4279 27.295
$data['id'] 27-02-24 12:00 44 33.3333 44.9064 38.6364 62.5894 27.915
$data['id'] 26-02-24 12:00 50 50 49.6881 38.6364 62.8447 27.92
$data['id'] 23-02-24 12:00 56 50 59.0437 52.0833 63.205 28.295
$data['id'] 22-02-24 12:00 55 50 55.9252 52.0833 63.2694 28.5
$data['id'] 21-02-24 12:00 54 50 52.5987 50 63.6533 28.225
$data['id'] 20-02-24 12:00 53 50 51.6632 47.7273 62.7838 27.725
$data['id'] 19-02-24 12:00 54 50 63.4096 47.7273 56.3769 28.745
$data['id'] 16-02-24 12:00 58 50 76.1856 52.0833 57.1525 28.97
$data['id'] 15-02-24 12:00 55 50 69.1752 47.9167 55.4109 29.04
$data['id'] 14-02-24 12:00 61 66.6667 72.9897 50 55.5906 29.09
$data['id'] 13-02-24 12:00 70 83.3333 88.1443 56.8182 54.544 29.35
$data['id'] 12-02-24 12:00 63 66.6667 82.6804 52.2727 53.5368 29.625
$data['id'] 09-02-24 12:00 63 66.6667 81.7526 52.0833 52.7745 29.395
$data['id'] 08-02-24 12:00 60 66.6667 75.4099 47.9167 52.4805 29.495
$data['id'] 07-02-24 12:00 62 66.6667 79.2079 50 52.7231 29.43
$data['id'] 06-02-24 12:00 59 66.6667 67.6238 47.7273 55.095 29.44
$data['id'] 05-02-24 12:00 54 66.6667 48.3168 43.1818 57.9832 27.995
$data['id'] 02-02-24 12:00 56 66.6667 53.0632 47.9167 57.4843 28.1
$data['id'] 01-02-24 12:00 49 50 42.4901 45.6522 57.9053 27.815
$data['id'] 31-01-24 12:00 46 50 35.7707 43.1818 57.3011 27.545
$data['id'] 30-01-24 12:00 46 50 35.571 45.2381 57.0104 27.805
$data['id'] 29-01-24 12:00 51 50 47.6896 50 58.0667 28.105
$data['id'] 26-01-24 12:00 51 50 44.8126 52.2727 57.986 28.3
$data['id'] 25-01-24 12:00 51 50 48.2999 50 56.8837 28.195
$data['id'] 24-01-24 12:02 49 50 43.9407 47.5 54.8761 28.045
$data['id'] 23-01-24 12:02 33 33.3333 16.2162 44.7368 38.4906 27.01
$data['id'] 22-01-24 12:00 29 33.3333 0 44.7368 39.7897 25.665
$data['id'] 19-01-24 12:00 32 33.3333 10.5171 45.2381 39.7547 25.79
$data['id'] 18-01-24 12:00 31 33.3333 7.71254 45.2381 38.9189 26.225
$data['id'] 17-01-24 12:00 29 33.3333 4.99565 42.5 38.3799 25.795
$data['id'] 16-01-24 12:00 32 33.3333 14.8992 44.7368 38.2553 26.46
$data['id'] 15-01-24 12:00 30 16.6667 21.9106 44.7368 38.054 26.815
$data['id'] 12-01-24 12:00 31 16.6667 22.5241 50 38.1169 27.05
$data['id'] 11-01-24 12:00 31 16.6667 26.1175 45.2381 37.9127 26.805
$data['id'] 10-01-24 12:00 28 16.6667 18.6678 42.5 38.1117 26.73
$data['id'] 09-01-24 12:00 30 16.6667 20.7713 44.7368 38.0194 26.985
$data['id'] 08-01-24 12:00 30 16.6667 19.1937 50 37.856 27.335
$data['id'] 05-01-24 12:00 33 16.6667 26.5557 54.7619 37.8955 27.4
$data['id'] 04-01-24 12:14 35 16.6667 31.6389 54.7619 37.9692 27.535
$data['id'] 03-01-24 12:00 33 16.6667 25.1534 52.5 38.1307 27.175
$data['id'] 02-01-24 12:00 33 16.6667 24.1017 55.2632 38.193 26.87
$data['id'] 29-12-23 12:00 33 16.6667 24.9781 54.7619 37.952 27.02
$data['id'] 28-12-23 12:00 29 16.6667 10.9553 50 38.5376 26.8
$data['id'] 27-12-23 12:00 33 33.3333 16.8274 45.2381 37.8194 26.39
$data['id'] 22-12-23 12:00 22 16.6667 0 41.3043 33.0325 25.655
$data['id'] 21-12-23 12:00 57 50 65.666 45.6522 67.6677 29.63
$data['id'] 20-12-23 12:00 58 50 70.7317 45.6522 67.169 29.785
$data['id'] 19-12-23 12:00 59 50 68.7617 47.7273 70.5917 30.045
$data['id'] 18-12-23 12:00 60 50 69.9813 45.2381 76.7406 29.18
$data['id'] 15-12-23 12:00 66 50 89.4934 50 76.0673 30.445
$data['id'] 14-12-23 12:00 63 50 76.9231 50 78.9884 30.12
$data['id'] 13-12-23 12:00 60 50 69.4184 50 70.7795 29.79
$data['id'] 12-12-23 12:00 58 50 75.985 52.2727 56.9789 30
$data['id'] 11-12-23 12:00 56 50 70.2627 50 54.7195 30.15
$data['id'] 08-12-23 12:00 60 50 78.3302 58.6957 54.7388 30.08
$data['id'] 07-12-23 12:00 56 50 75.0469 47.9497 53.2016 30.1
$data['id'] 06-12-23 12:00 61 66.6667 76.454 48.0132 52.9011 30.055
$data['id'] 05-12-23 12:00 59 66.6667 70.8255 47.9443 52.171 29.95
$data['id'] 04-12-23 12:00 63 66.6667 84.803 48.008 54.08 30.45

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.