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ADYEN.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 63 66.6667 79.4494 60.4167 47.9434 1252
$data['id'] 05-09-24 11:00 62 66.6667 81.0499 56.25 47.0578 1268.2
$data['id'] 04-09-24 11:00 63 66.6667 83.7388 58.6957 46.2998 1289.4
$data['id'] 03-09-24 11:00 70 83.3333 91.0371 61.3636 45.1113 1296.8
$data['id'] 02-09-24 11:00 70 83.3333 90.781 61.3636 45.013 1312.4
$data['id'] 30-08-24 11:00 77 100 100 64.5833 44.3009 1327.4
$data['id'] 29-08-24 11:00 78 100 98.0795 64.5833 49.5581 1336.6
$data['id'] 28-08-24 11:00 77 100 97.8808 63.0435 50.367 1326.6
$data['id'] 27-08-24 11:00 72 83.3333 94.5033 61.3636 50.1627 1314
$data['id'] 26-08-24 11:00 79 100 100 65.9091 51.0459 1315.4
$data['id'] 23-08-24 11:00 78 100 100 64.5833 51.223 1333.6
$data['id'] 22-08-24 11:00 77 100 100 60.4167 51.2681 1334
$data['id'] 21-08-24 11:00 76 100 95.4641 58.6957 52.1851 1311.2
$data['id'] 20-08-24 11:00 78 100 100 61.3636 52.398 1297.2
$data['id'] 19-08-24 11:00 78 100 100 61.3636 52.8536 1307.4
$data['id'] 16-08-24 11:00 74 83.3333 100 60.4167 52.7015 1296.6
$data['id'] 15-08-24 11:00 62 66.6667 83.4401 56.25 43.6908 1268
$data['id'] 14-08-24 11:00 54 66.6667 56.9076 54.3478 38.7127 1140.8
$data['id'] 13-08-24 11:00 43 50 35.6816 52.2727 36.5833 1142
$data['id'] 12-08-24 11:00 37 33.3333 32.205 47.7273 36.3182 1093.4
$data['id'] 09-08-24 11:00 35 33.3333 25.892 47.9167 36.2548 1080
$data['id'] 08-08-24 11:00 25 16.6667 4.94055 43.75 36.94 1066.6
$data['id'] 07-08-24 11:00 26 16.6667 7.13631 45.6522 35.8981 1057.4
$data['id'] 06-08-24 11:00 24 16.6667 0 43.1818 36.6368 1027.4
$data['id'] 05-08-24 11:00 24 16.6667 0 43.1818 37.4633 1013.8
$data['id'] 02-08-24 11:00 32 33.3333 13.6832 47.9167 34.3792 1034.8
$data['id'] 01-08-24 11:00 41 50 32.6132 52.0833 33.096 1100.2
$data['id'] 31-07-24 11:00 46 50 46.9136 54.3478 33.1903 1133.6
$data['id'] 30-07-24 11:00 27 16.6667 11.499 52.2727 28.0448 1120.6
$data['id'] 29-07-24 11:00 30 33.3333 11.2936 50 27.6687 1064.4
$data['id'] 26-07-24 11:00 28 33.3333 6.32039 47.8261 25.8595 1077.4
$data['id'] 25-07-24 11:00 21 16.6667 0 43.4783 25.5808 1051
$data['id'] 24-07-24 11:00 30 50 0 47.8261 23.2303 1081.2
$data['id'] 23-07-24 11:00 32 50 8.98876 50 22.2115 1110.4
$data['id'] 22-07-24 11:00 35 50 18.427 52.381 22.1136 1133.4
$data['id'] 19-07-24 11:00 34 50 17.7529 52.1739 19.9541 1120
$data['id'] 18-07-24 11:00 39 50 34.1573 52.1739 23.1072 1149.2
$data['id'] 17-07-24 11:00 31 50 12.2472 43.4783 20.9882 1133.2
$data['id'] 16-07-24 11:00 29 33.3333 13.3708 47.619 23.6949 1129.2
$data['id'] 15-07-24 11:00 37 50 29.2135 47.619 22.3763 1139.6
$data['id'] 12-07-24 11:00 30 33.3333 21.4607 47.8261 20.9032 1160
$data['id'] 11-07-24 11:00 31 33.3333 20.6742 52.1739 20.6718 1127.4
$data['id'] 10-07-24 11:00 25 33.3333 1.236 47.8261 19.7314 1135.4
$data['id'] 09-07-24 11:00 27 33.3333 6.29218 45.4545 24.8553 1103.4
$data['id'] 08-07-24 11:00 30 33.3333 17.1598 47.619 23.7092 1107.8
$data['id'] 05-07-24 11:00 28 33.3333 13.827 41.3043 24.6077 1141.4
$data['id'] 04-07-24 11:00 23 16.6667 8.91221 45.6522 23.5502 1136.8
$data['id'] 03-07-24 11:00 22 16.6667 8.32242 41.3043 23.4485 1136.8
$data['id'] 02-07-24 11:00 19 16.6667 0 33.3333 27.4478 1115.6
$data['id'] 01-07-24 11:00 21 16.6667 2.5501 38.0952 27.6573 1117.2
$data['id'] 28-06-24 11:00 20 16.6667 0.94399 37.5 27.4077 1109.8
$data['id'] 27-06-24 11:00 22 16.6667 7.58443 37.5 28.0758 1125.6
$data['id'] 26-06-24 11:00 22 16.6667 5.92269 39.1304 27.7014 1133
$data['id'] 25-06-24 11:00 18 16.6667 0 28.5714 29.2618 1143.4
$data['id'] 24-06-24 11:00 25 33.3333 2.24376 36.3636 29.3925 1137.2
$data['id'] 21-06-24 11:00 25 33.3333 5.21527 33.3333 29.2212 1136
$data['id'] 20-06-24 11:00 23 33.3333 3.03558 29.1667 29.7891 1158.6
$data['id'] 19-06-24 11:00 26 33.3333 12.3589 30.4348 28.6986 1157.8
$data['id'] 18-06-24 11:00 33 50 19.5056 36.3636 28.3719 1186.2
$data['id'] 17-06-24 11:00 31 50 14.534 31.8182 29.3583 1200.4
$data['id'] 14-06-24 11:00 33 50 17.7672 37.5 29.2838 1199.8
$data['id'] 13-06-24 11:00 35 50 21.2177 41.6667 30.1786 1206.2
$data['id'] 12-06-24 11:00 29 33.3333 16.2738 40.9091 26.6741 1246.4
$data['id'] 07-06-24 11:00 33 33.3333 23.3001 50 26.189 1234
$data['id'] 06-06-24 11:00 35 33.3333 25.0226 58.3333 26.7167 1232.2
$data['id'] 05-06-24 11:00 28 16.6667 17.2257 56.5217 22.9249 1239
$data['id'] 04-06-24 11:00 26 16.6667 10.6981 54.5455 22.1784 1184.4
$data['id'] 03-06-24 11:00 29 16.6667 13.6446 63.6364 24.6617 1184
$data['id'] 31-05-24 11:00 28 16.6667 12.1487 60.8696 25.4383 1183.2
$data['id'] 30-05-24 11:00 29 16.6667 11.5594 63.6364 25.8075 1191.8
$data['id'] 29-05-24 11:00 32 33.3333 13.1006 59.0909 24.6528 1178
$data['id'] 28-05-24 11:00 35 33.3333 23.1188 61.9048 23.4307 1210.8
$data['id'] 27-05-24 11:00 35 33.3333 20.7162 65 24.7119 1232.6
$data['id'] 24-05-24 11:00 33 33.3333 16.6364 59.0909 25.0011 1217.2
$data['id'] 23-05-24 11:00 50 33.3333 16.9537 59.0909 90.6545 1198
$data['id'] 22-05-24 11:00 58 50 23.98 68.1818 90.3086 1214.4
$data['id'] 21-05-24 11:00 57 50 23.4361 66.6667 90.2596 1218.8
$data['id'] 20-05-24 11:00 58 50 25.612 70 90.2017 1240.8
$data['id'] 17-05-24 11:00 54 33.3333 30.7797 63.6364 90.1591 1246.6
$data['id'] 16-05-24 11:00 48 50 37.534 68.1818 39.961 1284.4
$data['id'] 15-05-24 11:00 37 16.6667 30.825 63.6364 40.1562 1280.4
$data['id'] 14-05-24 11:00 37 16.6667 29.6918 61.9048 40.0935 1263.6
$data['id'] 13-05-24 11:00 34 16.6667 24.796 55 39.8187 1258.6
$data['id'] 10-05-24 11:00 34 16.6667 23.4814 59.0909 39.7613 1251.8
$data['id'] 09-05-24 11:00 33 16.6667 23.8441 54.5455 39.5801 1228.8
$data['id'] 08-05-24 11:00 32 16.6667 20.2629 52.2727 39.7426 1212.2
$data['id'] 07-05-24 11:00 30 16.6667 16.6818 50 40.0671 1218
$data['id'] 06-05-24 11:00 23 0 5.93834 47.5 40.722 1175
$data['id'] 03-05-24 11:00 21 0 1.99454 43.1818 40.8921 1157.8
$data['id'] 02-05-24 11:00 19 0 0 38.6364 41.0556 1121.6
$data['id'] 30-04-24 11:00 20 0 0 40.4762 40.9176 1134.4
$data['id'] 29-04-24 11:00 21 0 2.95398 42.5 40.8914 1150.2
$data['id'] 26-04-24 11:00 22 0 4.89103 43.1818 40.8046 1181
$data['id'] 25-04-24 11:00 24 0 0 43.1818 52.9764 1168.8
$data['id'] 24-04-24 11:00 39 16.6667 21.527 45.2381 74.4372 1416.8
$data['id'] 23-04-24 11:00 36 16.6667 12.3011 42.5 74.4761 1410.2
$data['id'] 22-04-24 11:00 47 16.6667 55.3313 42.5 75.7176 1388.8
$data['id'] 19-04-24 11:00 53 33.3333 59.265 47.7273 74.1815 1397
$data['id'] 18-04-24 11:00 53 33.3333 60.0414 47.7273 74.5852 1444
$data['id'] 17-04-24 11:00 55 33.3333 65.3727 50 74.953 1438.8
$data['id'] 16-04-24 11:00 53 33.3333 58.2298 47.5 73.3195 1431.2
$data['id'] 15-04-24 11:00 60 50 68.004 47.5 75.5621 1442.8
$data['id'] 12-04-24 11:00 60 50 69.4082 43.1818 77.4286 1425.4
$data['id'] 11-04-24 11:00 61 50 72.1058 47.7273 77.1802 1462.8
$data['id'] 10-04-24 11:00 63 50 76.2836 50 77.5046 1461.6
$data['id'] 09-04-24 11:00 64 50 81.5341 47.5 78.5453 1474
$data['id'] 08-04-24 11:02 64 50 83.5701 47.5 78.2824 1500.4
$data['id'] 05-04-24 11:00 68 66.6667 81.7708 50 75.8604 1491.6
$data['id'] 04-04-24 11:00 73 66.6667 95.8807 52.2727 80.361 1551.4
$data['id'] 03-04-24 11:00 72 66.6667 95.6799 50 79.5415 1553.2
$data['id'] 02-04-24 11:00 80 83.3333 100 57.5 79.5307 1563.4
$data['id'] 28-03-24 11:00 79 83.3333 99.4998 56.8182 79.5269 1572.2
$data['id'] 27-03-24 11:00 79 83.3333 100 56.8182 79.8226 1573
$data['id'] 26-03-24 11:00 70 50 97.6422 52.2727 80.5501 1540
$data['id'] 25-03-24 11:00 69 50 95.5508 50 80.998 1513.8
$data['id'] 22-03-24 11:00 69 50 96.5042 52.2727 80.7639 1504.2
$data['id'] 21-03-24 11:00 70 50 93.5911 56.8182 83.1459 1504.2
$data['id'] 20-03-24 11:00 67 50 85.4873 52.2727 83.5512 1454.2
$data['id'] 19-03-24 11:00 64 50 81.4089 43.1818 81.6152 1440.8
$data['id'] 18-03-24 11:00 69 66.6667 85.1852 45.2381 81.7026 1449
$data['id'] 15-03-24 11:00 71 66.6667 90.0727 47.7273 80.9798 1455.2
$data['id'] 14-03-24 10:00 70 66.6667 87.6299 47.7273 80.5184 1453
$data['id'] 13-03-24 10:00 71 66.6667 88.9813 52.2727 79.2864 1465
$data['id'] 12-03-24 10:02 71 66.6667 92.6195 47.7273 79.8589 1487.4
$data['id'] 11-03-24 10:02 70 66.6667 90.0208 50 75.0347 1481.8
$data['id'] 08-03-24 10:00 73 66.6667 97.7131 56.8182 74.2855 1479.4
$data['id'] 07-03-24 10:00 72 66.6667 89.1372 61.3636 74.501 1499.4
$data['id'] 06-03-24 10:00 60 66.6667 82.2245 56.8182 35.0555 1458.4
$data['id'] 05-03-24 10:00 59 66.6667 83.316 52.2727 34.9923 1437.4
$data['id'] 04-03-24 12:00 61 66.6667 89.657 54.7619 35.0391 1449.6
$data['id'] 01-03-24 12:00 60 66.6667 87.1102 52.2727 34.917 1471.2
$data['id'] 29-02-24 12:00 58 66.6667 82.0686 52.0833 34.7508 1466
$data['id'] 28-02-24 12:00 60 66.6667 87.0062 54.3478 34.935 1454.4
$data['id'] 27-02-24 12:00 66 83.3333 89.605 56.8182 34.8481 1463.2
$data['id'] 26-02-24 12:00 65 83.3333 88.8254 56.8182 34.936 1460.2
$data['id'] 23-02-24 12:00 67 83.3333 90.9044 60.4167 35.0573 1465.4
$data['id'] 22-02-24 12:00 66 83.3333 87.5779 60.4167 35.0957 1462.2
$data['id'] 21-02-24 12:00 66 83.3333 89.0852 58.6957 34.6409 1445.4
$data['id'] 20-02-24 12:00 72 100 95.3222 61.3636 34.9731 1484.2
$data['id'] 19-02-24 12:00 73 100 94.0229 65.9091 34.933 1493.6
$data['id'] 16-02-24 12:00 74 100 98.7087 64.5833 35.3336 1500.2
$data['id'] 15-02-24 12:00 70 100 86.4215 60.4167 34.8825 1475.4
$data['id'] 14-02-24 12:00 70 100 86.4679 58.6957 34.9068 1449
$data['id'] 13-02-24 12:00 69 100 87.8899 56.8182 34.1108 1437
$data['id'] 12-02-24 12:00 72 100 100 56.8182 35.007 1501.6
$data['id'] 09-02-24 12:00 73 100 100 60.4167 34.7084 1473.6
$data['id'] 08-02-24 12:00 74 100 100 60.4167 36.6766 1436.2
$data['id'] 07-02-24 12:00 64 50 75.4624 58.6957 73.916 1179.4
$data['id'] 06-02-24 12:00 68 50 88.2861 61.3636 74.628 1192
$data['id'] 05-02-24 12:00 70 50 91.1348 65.9091 74.8194 1200
$data['id'] 02-02-24 12:00 71 50 94.9833 64.5833 74.6682 1201.8
$data['id'] 01-02-24 12:00 68 50 85.4445 63.0435 75.212 1194.4
$data['id'] 31-01-24 12:00 64 50 71.0474 61.3636 74.5417 1174.8
$data['id'] 30-01-24 12:00 66 50 78.1621 64.2857 74.872 1181.8
$data['id'] 29-01-24 12:00 64 50 74.9012 59.5238 74.9056 1167.4
$data['id'] 26-01-24 12:00 59 50 64.9061 47.7273 75.1781 1157.4
$data['id'] 25-01-24 12:00 64 50 82.1733 50 76.9638 1148
$data['id'] 24-01-24 12:02 67 50 93.1818 52.5 75.7977 1184.4
$data['id'] 23-01-24 12:02 65 50 87.5455 44.7368 78.2852 1162.2
$data['id'] 22-01-24 12:00 66 50 90.2679 50 77.1615 1154
$data['id'] 19-01-24 12:00 64 50 84.764 45.2381 79.7133 1126.6
$data['id'] 18-01-24 12:00 65 50 86.8052 45.2381 79.9087 1150.6
$data['id'] 17-01-24 12:00 67 50 90.5366 47.5 82.1861 1146.8
$data['id'] 16-01-24 12:00 71 50 96.6602 55.2632 83.5365 1196.6
$data['id'] 15-01-24 12:00 71 50 97.6015 55.2632 83.4956 1197.4
$data['id'] 12-01-24 12:00 69 50 97.5026 50 81.9225 1198.2
$data['id'] 11-01-24 12:00 68 50 92.1998 45.2381 85.1289 1160.6
$data['id'] 10-01-24 12:00 66 50 91.9603 42.5 82.2852 1154
$data['id'] 09-01-24 12:00 64 50 88.5392 39.4737 81.2439 1152.8
$data['id'] 08-01-24 12:00 64 50 85.7338 39.4737 81.8425 1145.6
$data['id'] 05-01-24 12:00 58 33.3333 79.6784 40.4762 79.9331 1129.2
$data['id'] 04-01-24 12:14 64 50 83.1338 45.2381 80.3692 1123.6
$data['id'] 03-01-24 12:00 66 50 87.9234 47.5 79.0945 1135.4
$data['id'] 02-01-24 12:00 71 66.6667 90.6603 50 79.653 1153.4
$data['id'] 29-12-23 12:00 74 66.6667 94.2867 59.5238 78.7524 1163.8
$data['id'] 28-12-23 12:00 73 66.6667 91.9945 54.7619 78.9578 1165.8
$data['id'] 27-12-23 12:00 73 66.6667 92.0629 54.7619 79.253 1178.4
$data['id'] 22-12-23 12:00 71 66.6667 90.2497 50 78.7378 1167.4
$data['id'] 21-12-23 12:00 72 66.6667 90.8655 54.3478 78.4888 1167
$data['id'] 20-12-23 12:00 78 83.3333 91.8577 58.6957 78.5295 1174
$data['id'] 19-12-23 12:00 84 100 95.6551 61.3636 79.3082 1187.6
$data['id'] 18-12-23 12:00 83 100 93.8077 59.5238 79.7889 1173.2
$data['id'] 15-12-23 12:00 83 100 94.4235 58.6957 80.5187 1198.8
$data['id'] 14-12-23 12:00 85 100 97.6394 63.0435 80.4748 1182.2
$data['id'] 13-12-23 12:00 85 100 97.1263 63.0435 80.3586 1188.2
$data['id'] 12-12-23 12:00 85 100 97.4684 65.9091 79.6143 1205.2
$data['id'] 11-12-23 12:00 86 100 100 69.0476 76.8331 1217.2
$data['id'] 08-12-23 12:00 84 100 100 67.3913 72.1014 1186.8
$data['id'] 07-12-23 12:00 80 100 98.618 50.9921 70.8709 1155.4
$data['id'] 06-12-23 12:00 64 100 100 51.0596 5.45751 1154
$data['id'] 05-12-23 12:00 64 100 100 50.9947 5.39058 1134.6
$data['id'] 04-12-23 12:00 59 83.3333 100 50.9296 4.68543 1119.8

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.