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REN.AS Stock Data

Download REN.AS GF Data (.xslx)
id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 17-10-24 11:00 72 83.3333 100 54.3478 51.1433 44.9
$data['id'] 16-10-24 11:00 68 66.6667 100 56.8182 51.6078 44.22
$data['id'] 15-10-24 11:00 68 66.6667 100 56.8182 51.5583 44.36
$data['id'] 14-10-24 11:00 58 50 77.3685 54.7619 50.0951 43.24
$data['id'] 11-10-24 11:00 49 33.3333 62.6316 54.3478 48.7157 42.92
$data['id'] 10-10-24 11:00 51 50 61.0526 47.8261 48.6647 42.46
$data['id'] 09-10-24 11:00 53 50 60.5263 52.1739 50.5704 42.5
$data['id'] 08-10-24 11:00 61 50 47.8947 50 99.6057 42.24
$data['id'] 07-10-24 11:00 55 33.3333 44.2105 45.2381 99.5322 41.8
$data['id'] 04-10-24 11:00 54 33.3333 36.3158 50 98.2349 41.86
$data['id'] 03-10-24 11:00 57 66.6667 60 54.3478 50.9104 42.2
$data['id'] 02-10-24 11:00 59 66.6667 66.3158 54.3478 51.5526 42.84
$data['id'] 01-10-24 11:00 58 66.6667 63.6843 52.2727 51.5365 42.6
$data['id'] 30-09-24 11:00 57 66.6667 59.4738 52.2727 51.0643 42.18
$data['id'] 27-09-24 11:00 60 66.6667 70 56.25 50.8433 42.9
$data['id'] 26-09-24 11:00 70 83.3333 87.8948 60.4167 50.9317 43.14
$data['id'] 25-09-24 11:00 72 83.3333 90.5264 63.0435 51.6739 43.46
$data['id'] 24-09-24 11:00 67 66.6667 91.0526 61.3636 51.6728 43.58
$data['id'] 23-09-24 11:00 68 66.6667 92.3077 65.9091 50.9402 43.86
$data['id'] 20-09-24 11:00 66 66.6667 85.1649 62.5 50.8562 43.16
$data['id'] 19-09-24 11:00 62 66.6667 74.1759 58.3333 50.7829 43.06
$data['id'] 18-09-24 11:00 60 66.6667 69.7803 56.5217 50.7438 42.64
$data['id'] 17-09-24 11:00 70 83.3333 89.011 59.0909 50.2239 43.18
$data['id'] 16-09-24 11:00 68 83.3333 81.3187 59.0909 50.3905 43.12
$data['id'] 13-09-24 11:00 70 83.3333 85.7143 62.5 50.3774 43.1
$data['id'] 12-09-24 11:00 70 83.3333 85.1649 62.5 50.7913 43.14
$data['id'] 11-09-24 11:00 59 66.6667 62.6373 60.8696 49.5731 42.42
$data['id'] 10-09-24 11:00 62 66.6667 70.3297 63.6364 48.8191 42.72
$data['id'] 09-09-24 11:00 52 50 50 63.6364 44.5355 42.32
$data['id'] 06-09-24 11:00 49 50 40.1099 62.5 43.7187 41.64
$data['id'] 05-09-24 11:00 49 50 54.3956 58.3333 35.4666 41.44
$data['id'] 04-09-24 11:00 48 50 48.9011 56.5217 36.6475 42.12
$data['id'] 03-09-24 11:00 55 50 65.3847 63.6364 41.2208 42.14
$data['id'] 02-09-24 11:00 49 50 51.0989 54.5455 41.5223 42.24
$data['id'] 30-08-24 11:00 53 50 62.6373 50 51.8684 42
$data['id'] 29-08-24 11:00 52 50 53.8461 54.1667 51.7736 42.58
$data['id'] 28-08-24 11:00 56 33.3333 41.2088 52.1739 97.3842 41.72
$data['id'] 27-08-24 11:00 54 33.3333 37.3627 50 97.4871 41.44
$data['id'] 26-08-24 11:00 54 33.3333 32.4176 54.5455 97.4394 41.58
$data['id'] 23-08-24 11:00 54 33.3333 31.8681 54.1667 96.8263 41.38
$data['id'] 22-08-24 11:00 56 33.3333 38.4616 58.3333 96.7121 41.44
$data['id'] 21-08-24 11:00 55 33.3333 38.4616 56.5217 95.3023 41.46
$data['id'] 20-08-24 11:00 52 16.6667 40.1099 59.0909 95.3332 41.3
$data['id'] 19-08-24 11:00 48 16.6667 29.1209 54.5455 95.2978 41.56
$data['id'] 16-08-24 11:00 50 16.6667 39.0111 50 95.1624 41.46
$data['id'] 15-08-24 11:00 50 16.6667 34.6154 54.1667 95.2496 41.66
$data['id'] 14-08-24 11:00 49 16.6667 32.4176 52.1739 95.1854 41.28
$data['id'] 13-08-24 11:00 50 33.3333 28.022 45.4545 94.8152 41.24
$data['id'] 12-08-24 11:00 50 33.3333 28.4946 45.4545 94.7959 41.3
$data['id'] 09-08-24 11:00 50 33.3333 28.9474 45.8333 94.7003 41.08
$data['id'] 08-08-24 11:00 40 16.6667 8.42105 41.6667 94.4526 40.8
$data['id'] 07-08-24 11:00 40 16.6667 7.89472 43.4783 95.3415 40.86
$data['id'] 06-08-24 11:00 40 16.6667 7.36839 40.9091 95.3445 40.14
$data['id'] 05-08-24 11:00 48 33.3333 18.9474 45.4545 96.4128 40.24
$data['id'] 02-08-24 11:00 66 66.6667 51.5789 50 97.85 41.82
$data['id'] 01-08-24 11:00 60 66.6667 75.2632 50 50.9968 42.46
$data['id'] 31-07-24 11:00 66 66.6667 95.2631 52.1739 50.1773 43.48
$data['id'] 30-07-24 11:00 67 66.6667 100 52.2727 50.0317 43.84
$data['id'] 29-07-24 11:00 66 66.6667 100 52.381 47.6726 43.54
$data['id'] 26-07-24 11:00 56 50 84.1772 43.4783 50.1999 42.88
$data['id'] 25-07-24 11:00 50 50 65.1899 43.4783 41.7199 42.66
$data['id'] 24-07-24 11:00 41 33.3333 47.4684 43.4783 43.1111 41.56
$data['id'] 23-07-24 11:00 48 50 60.4651 43.1818 42.3305 41.82
$data['id'] 22-07-24 11:00 48 50 56.9767 45.2381 40.7824 41.84
$data['id'] 19-07-24 11:00 48 50 55.2325 50 40.2987 41.4
$data['id'] 18-07-24 11:00 44 33.3333 56.9767 50 39.5278 41.54
$data['id'] 17-07-24 11:00 56 66.6667 69.1861 54.3478 36.7279 41.8
$data['id'] 16-07-24 11:00 58 66.6667 76.2136 54.7619 36.0219 42.42
$data['id'] 15-07-24 11:00 64 66.6667 97.0874 59.5238 35.0899 42.34
$data['id'] 12-07-24 11:00 59 66.6667 82.5 54.3478 32.5507 42.74
$data['id'] 11-07-24 11:00 63 66.6667 91.6667 63.0435 31.5014 42.22
$data['id'] 10-07-24 11:00 61 66.6667 90.4167 58.6957 31.4724 42.74
$data['id'] 09-07-24 11:00 65 66.6667 95.4166 61.3636 39.5613 42.58
$data['id'] 08-07-24 11:00 63 66.6667 89.3877 59.5238 39.1419 42.54
$data['id'] 05-07-24 11:00 63 66.6667 89.7959 58.6957 40.0078 42.44
$data['id'] 04-07-24 11:00 63 66.6667 85.3061 63.0435 39.1368 42.36
$data['id'] 03-07-24 11:00 62 66.6667 81.2245 60.8696 39.3495 42.4
$data['id'] 02-07-24 11:00 64 66.6667 76.7347 64.2857 48.8658 42.22
$data['id'] 01-07-24 11:00 64 66.6667 82.8571 64.2857 44.2848 42.26
$data['id'] 28-06-24 11:00 76 100 100 66.6667 37.4793 42.92
$data['id'] 27-06-24 11:00 66 66.6667 100 64.5833 35.7734 43.14
$data['id'] 26-06-24 11:00 71 83.3333 100 67.3913 34.9376 42.54
$data['id'] 25-06-24 11:00 76 100 100 64.2857 43.2699 42.76
$data['id'] 24-06-24 11:00 76 100 100 61.3636 43.3155 42.84
$data['id'] 21-06-24 11:00 77 100 100 66.6667 44.8543 42.56
$data['id'] 20-06-24 11:00 78 100 100 68.75 45.5257 42.6
$data['id'] 19-06-24 11:00 71 83.3333 94.3128 63.0435 46.3894 42.42
$data['id'] 18-06-24 11:00 73 83.3333 100 65.9091 45.958 42.42
$data['id'] 17-06-24 11:00 73 83.3333 98.0769 65.9091 46.0483 42.28
$data['id'] 14-06-24 11:00 74 83.3333 100 68.75 44.9317 42.08
$data['id'] 13-06-24 11:00 74 83.3333 100 68.75 44.9963 42.34
$data['id'] 12-06-24 11:00 69 66.6667 100 70.4545 39.7875 42.24
$data['id'] 07-06-24 11:00 68 66.6667 94.0477 68.75 43.9328 41.66
$data['id'] 06-06-24 11:00 70 66.6667 100 72.9167 43.9554 41.6
$data['id'] 05-06-24 11:00 67 66.6667 89.0322 71.7391 41.9262 41.32
$data['id'] 04-06-24 11:00 60 66.6667 67.7419 70.4545 36.7373 41.04
$data['id'] 03-06-24 11:00 61 66.6667 70.3225 65.9091 42.6433 40.26
$data['id'] 31-05-24 11:00 58 66.6667 61.2903 63.0435 42.0319 40.14
$data['id'] 30-05-24 11:00 60 66.6667 63.2258 65.9091 46.6368 40.06
$data['id'] 29-05-24 11:00 62 66.6667 65.1612 70.4545 48.3288 40.24
$data['id'] 28-05-24 11:00 68 66.6667 93.5484 73.8095 41.4204 40.3
$data['id'] 27-05-24 11:00 69 66.6667 96.1291 72.5 41.4301 40.94
$data['id'] 24-05-24 11:00 71 83.3333 94.8905 65.9091 43.5909 41.36
$data['id'] 23-05-24 11:00 71 83.3333 98.4848 61.3636 44.7012 41
$data['id'] 22-05-24 11:00 73 83.3333 97.4137 61.3636 50.3228 40.88
$data['id'] 21-05-24 11:00 71 83.3333 93.0435 59.5238 50.5835 40.54
$data['id'] 20-05-24 11:00 72 83.3333 96.7742 57.5 50.561 40.54
$data['id'] 17-05-24 11:00 65 66.6667 88.4793 56.8182 50.9627 40.48
$data['id'] 16-05-24 11:00 69 83.3333 84.7927 61.3636 48.9664 40.26
$data['id'] 15-05-24 11:00 72 83.3333 94.9771 61.3636 49.1339 40.38
$data['id'] 14-05-24 11:00 64 66.6667 81.2785 59.5238 48.5513 40.08
$data['id'] 13-05-24 11:00 64 66.6667 84.9314 57.5 49.0156 39.66
$data['id'] 10-05-24 11:00 67 83.3333 70.5882 65.9091 48.9915 40.26
$data['id'] 09-05-24 11:00 56 50 63.9706 61.3636 49.0083 40.04
$data['id'] 08-05-24 11:00 56 50 65.4412 61.3636 48.9149 39.92
$data['id'] 07-05-24 11:00 47 33.3333 48.5294 59.5238 49.197 39.72
$data['id'] 06-05-24 11:00 45 33.3333 38.2352 62.5 49.5165 39.02
$data['id'] 03-05-24 11:00 41 33.3333 29.4118 52.2727 49.7187 39.08
$data['id'] 02-05-24 11:00 33 33.3333 0 47.7273 52.1312 38.28
$data['id'] 30-04-24 11:00 37 33.3333 15.4411 50 52.7299 38.72
$data['id'] 29-04-24 11:00 40 33.3333 26.4705 52.5 49.3249 38.66
$data['id'] 26-04-24 11:00 35 33.3333 8.08815 52.2727 49.9299 38.88
$data['id'] 25-04-24 11:00 33 33.3333 1.9455 47.7273 50.4704 38.22
$data['id'] 24-04-24 11:00 44 33.3333 35.4086 52.381 55.3932 38.54
$data['id'] 23-04-24 11:00 43 33.3333 33.074 52.5 54.9361 39.36
$data['id'] 22-04-24 11:00 39 33.3333 18.4615 47.5 56.7141 38.98
$data['id'] 19-04-24 11:00 32 16.6667 6.92309 52.2727 53.2438 38.54
$data['id'] 18-04-24 11:00 41 33.3333 26.1539 52.2727 54.5644 39.08
$data['id'] 17-04-24 11:00 42 33.3333 32.3077 50 53.2351 38.88
$data['id'] 16-04-24 11:00 34 16.6667 17.6923 47.5 54.8486 38.74
$data['id'] 15-04-24 11:00 40 16.6667 36.4964 52.5 58.1633 39.34
$data['id'] 12-04-24 11:00 44 33.3333 41.6059 47.7273 56.0138 39.1
$data['id'] 11-04-24 11:00 34 16.6667 16.0584 45.4545 59.7219 38.76
$data['id'] 10-04-24 11:00 32 16.6667 11.6788 45.2381 56.4438 38.6
$data['id'] 09-04-24 11:00 33 16.6667 13.0742 47.5 55.5394 38.72
$data['id'] 08-04-24 11:02 36 33.3333 13.7809 42.5 54.8063 38.46
$data['id'] 05-04-24 11:00 32 16.6667 12.9869 45.2381 53.2187 38.68
$data['id'] 04-04-24 11:00 35 16.6667 22.7273 47.7273 54.5374 38.7
$data['id'] 03-04-24 11:00 47 50 34.4155 50 55.111 38.76
$data['id'] 02-04-24 11:00 61 66.6667 62.987 52.5 63.354 39.26
$data['id'] 28-03-24 11:00 66 66.6667 82.3009 56.8182 59.1534 40.21
$data['id'] 27-03-24 11:00 63 66.6667 74.4868 52.2727 59.4843 39.99
$data['id'] 26-03-24 11:00 61 66.6667 73.6559 47.7273 59.8936 39.82
$data['id'] 25-03-24 11:00 63 66.6667 80.1076 50 58.1508 40.08
$data['id'] 22-03-24 11:00 66 66.6667 85.8139 54.5455 58.5082 40.35
$data['id'] 21-03-24 11:00 63 66.6667 73.0233 54.5455 61.1421 40.34
$data['id'] 20-03-24 11:00 62 66.6667 77.0213 50 58.248 39.75
$data['id'] 19-03-24 11:00 61 66.6667 70.8511 50 58.7111 39.68
$data['id'] 18-03-24 11:00 62 66.6667 71.8053 52.381 58.3632 39.72
$data['id'] 15-03-24 11:00 58 50 72.6 54.5455 58.5316 39.52
$data['id'] 14-03-24 10:00 58 50 78.5064 54.5455 50.1966 39.68
$data['id'] 13-03-24 10:00 64 66.6667 82.6786 59.0909 49.8871 39.89
$data['id'] 12-03-24 10:02 61 66.6667 74.6429 54.5455 49.591 39.89
$data['id'] 11-03-24 10:02 61 66.6667 76.0714 52.381 49.0143 39.43
$data['id'] 08-03-24 10:00 63 66.6667 82.1429 54.5455 49.2174 39.99
$data['id'] 07-03-24 10:00 62 66.6667 80.3572 54.5455 48.9433 39.71
$data['id'] 06-03-24 10:00 62 66.6667 79.8215 54.5455 48.7805 39.92
$data['id'] 05-03-24 10:00 63 66.6667 82.1429 56.8182 48.8663 40.02
$data['id'] 04-03-24 12:00 60 66.6667 77.5 50 48.8095 39.82
$data['id'] 01-03-24 12:00 62 66.6667 83.2143 52.2727 49.0675 39.79
$data['id'] 29-02-24 12:00 65 66.6667 89.2919 56.25 49.4203 40.52
$data['id'] 28-02-24 12:00 70 83.3333 91.7099 58.6957 49.5364 40.29
$data['id'] 27-02-24 12:00 75 100 95.1641 56.8182 49.842 40.45
$data['id'] 26-02-24 12:00 77 100 100 59.0909 50.5783 40.93
$data['id'] 23-02-24 12:00 77 100 100 60.4167 50.5543 40.98
$data['id'] 22-02-24 12:00 72 83.3333 100 56.25 51.7066 40.65
$data['id'] 21-02-24 12:00 66 66.6667 95.4 54.3478 50.8578 40.1
$data['id'] 20-02-24 12:00 73 83.3333 100 56.8182 51.9352 40.11
$data['id'] 19-02-24 12:00 68 66.6667 100 56.8182 50.2685 39.84
$data['id'] 16-02-24 12:00 70 66.6667 100 60.4167 55.5408 39.69
$data['id'] 15-02-24 12:00 65 66.6667 79.3103 60.4167 55.0478 38.66
$data['id'] 14-02-24 12:00 70 66.6667 91.133 63.0435 59.3673 38.96
$data['id'] 13-02-24 12:00 67 66.6667 80.0492 61.3636 61.9537 38.38
$data['id'] 12-02-24 12:00 78 83.3333 99.7537 61.3636 68.9682 39.15
$data['id'] 09-02-24 12:00 78 83.3333 100 64.5833 66.8976 39.18
$data['id'] 08-02-24 12:00 69 66.6667 90.3315 60.4167 61.077 38.59
$data['id'] 07-02-24 12:00 71 66.6667 93.6464 63.0435 61.5176 38.32
$data['id'] 06-02-24 12:00 69 66.6667 92.3664 59.0909 59.9372 38.52
$data['id'] 05-02-24 12:00 77 83.3333 100 68.1818 60.44 38.51
$data['id'] 02-02-24 12:00 82 100 100 70.8333 59.423 38.72
$data['id'] 01-02-24 12:00 73 66.6667 97.2286 69.5652 59.6872 38.5
$data['id'] 31-01-24 12:00 82 100 100 72.7273 59.2085 38.3
$data['id'] 30-01-24 12:00 82 100 100 71.4286 59.2781 38.46
$data['id'] 29-01-24 12:00 81 100 100 71.4286 55.2858 38.26
$data['id'] 26-01-24 12:00 80 100 100 68.1818 55.1756 38.4
$data['id'] 25-01-24 12:00 74 83.3333 96.9575 64.2857 54.7874 38.2
$data['id'] 24-01-24 12:02 72 83.3333 89.6552 62.5 53.9925 38.18
$data['id'] 23-01-24 12:02 74 83.3333 93.9148 65.7895 55.0892 37.94
$data['id'] 22-01-24 12:00 78 100 99.1837 60.5263 55.6106 38.17
$data['id'] 19-01-24 12:00 80 100 100 64.2857 55.7497 38.2
$data['id'] 18-01-24 12:00 75 83.3333 100 61.9048 57.0668 38.14
$data['id'] 17-01-24 12:00 73 83.3333 97.1312 57.5 56.2698 37.58
$data['id'] 16-01-24 12:00 73 83.3333 94.6722 60.5263 55.0745 37.53
$data['id'] 15-01-24 12:00 72 83.3333 96.3115 60.5263 48.0227 37.15
$data['id'] 12-01-24 12:00 77 100 100 59.5238 48.798 37.55
$data['id'] 11-01-24 12:00 70 66.6667 100 64.2857 49.0969 36.71
$data['id'] 10-01-24 12:00 68 66.6667 94.4072 62.5 49.411 36.69
$data['id'] 09-01-24 12:00 67 66.6667 91.7226 60.5263 49.546 36.28
$data['id'] 08-01-24 12:00 67 66.6667 86.8009 65.7895 49.8786 36.4
$data['id'] 05-01-24 12:00 64 66.6667 78.0761 61.9048 49.7374 36.01
$data['id'] 04-01-24 12:14 65 66.6667 79.1946 66.6667 49.8775 35.99
$data['id'] 03-01-24 12:00 58 50 69.3513 65 50.76 35.47
$data['id'] 02-01-24 12:00 65 66.6667 78.2998 63.1579 52.4703 35.33
$data['id'] 29-12-23 12:00 67 66.6667 78.5235 71.4286 52.6662 35.77
$data['id'] 28-12-23 12:00 66 66.6667 76.9575 71.4286 52.6972 35.68
$data['id'] 27-12-23 12:00 64 66.6667 72.4832 66.6667 52.5382 35.56
$data['id'] 22-12-23 12:00 66 66.6667 76.5101 69.5652 51.951 35.64
$data['id'] 21-12-23 12:00 65 66.6667 71.5884 69.5652 52.219 35.47
$data['id'] 20-12-23 12:00 65 66.6667 72.9307 69.5652 51.4665 35.7
$data['id'] 19-12-23 12:00 66 66.6667 74.0492 72.7273 50.7564 35.64
$data['id'] 18-12-23 12:00 64 66.6667 71.5884 71.4286 49.9059 35.43
$data['id'] 15-12-23 12:00 64 66.6667 68.0089 71.7391 51.1488 35.12
$data['id'] 14-12-23 12:00 74 66.6667 87.2483 76.087 67.7389 35.56
$data['id'] 13-12-23 12:00 87 100 100 76.087 75.5467 36.75
$data['id'] 12-12-23 12:00 88 100 100 75 77.0893 36.69
$data['id'] 11-12-23 12:00 84 100 100 73.8095 64.9118 36.42
$data['id'] 08-12-23 12:00 82 100 98.3567 67.3913 64.4294 36.22
$data['id'] 07-12-23 12:00 79 100 100 54.6296 64.2999 36.08
$data['id'] 06-12-23 12:00 79 100 100 54.5695 62.0726 36.08
$data['id'] 05-12-23 12:00 79 100 100 54.5093 63.4173 35.84
$data['id'] 04-12-23 12:00 72 83.3333 93.2468 54.3161 60.6416 35.54

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.