Back IMCD.AS Fear & Greed Index

Image

IMCD.AS Stock Data

Download IMCD.AS GF Data (.xslx)
id Date GF Index Momentum Price Strength Price Breadth Volatility Close Price
$data['id'] 11-02-25 11:00 65 66.6667 86.9186 65.9091 44.2886 149.15
$data['id'] 10-02-25 11:00 64 66.6667 82.2675 65.9091 43.7076 149.4
$data['id'] 07-02-25 11:00 64 66.6667 90.9884 60.4167 41.4067 147.5
$data['id'] 06-02-25 11:00 62 66.6667 85.4651 56.25 42.8117 150.95
$data['id'] 05-02-25 11:00 69 83.3333 85.1745 61.3636 46.4473 149.3
$data['id'] 04-02-25 11:00 69 83.3333 87.2093 61.3636 46.3891 149.95
$data['id'] 03-02-25 11:00 67 83.3333 74.7094 61.3636 50.2785 148.45
$data['id'] 31-01-25 11:00 72 83.3333 100 56.8182 47.9728 151.8
$data['id'] 30-01-25 11:00 72 83.3333 100 58.6957 47.6392 151.05
$data['id'] 29-01-25 11:00 71 83.3333 99.3883 56.8182 47.9962 150.35
$data['id'] 28-01-25 11:00 73 83.3333 100 57.5 52.1488 150.45
$data['id'] 27-01-25 11:00 57 50 76.873 54.7619 48.1895 148.65
$data['id'] 24-01-25 11:00 52 50 57.1066 54.7619 47.8305 145.2
$data['id'] 23-01-25 11:00 52 50 57.1066 54.7619 49.0873 145.9
$data['id'] 22-01-25 11:00 54 50 60.6599 57.5 49.982 146.1
$data['id'] 21-01-25 11:00 50 50 51.0153 50 49.9569 145.1
$data['id'] 20-01-25 11:00 47 33.3333 53.2995 50 53.4449 144.45
$data['id'] 17-01-25 11:00 49 33.3333 56.3452 54.7619 53.9147 145.3
$data['id'] 16-01-25 11:00 50 33.3333 23.0965 47.5 99.607 140.15
$data['id'] 15-01-25 11:00 34 33.3333 9.3909 47.5 46.1064 138.7
$data['id'] 14-01-25 11:00 29 16.6667 8.88325 44.7368 46.4576 135.5
$data['id'] 13-01-25 11:00 25 16.6667 0 39.4737 44.1701 134.45
$data['id'] 10-01-25 11:00 29 16.6667 9.42862 45.2381 47.4543 135.6
$data['id'] 09-01-25 11:00 26 16.6667 3.42861 40.4762 46.4354 137.95
$data['id'] 08-01-25 11:00 26 16.6667 5.74017 37.5 44.2958 136.85
$data['id'] 07-01-25 11:00 44 16.6667 18.1269 44.7368 98.0723 139.3
$data['id'] 06-01-25 11:00 42 16.6667 16.3142 39.4737 98.0439 139.65
$data['id'] 03-01-25 11:00 46 16.6667 31.1178 37.5 98.8528 140.2
$data['id'] 02-01-25 11:00 47 16.6667 32.3263 40.4762 98.9148 142.85
$data['id'] 31-12-24 11:00 32 16.6667 23.2628 42.5 48.719 143.5
$data['id'] 30-12-24 11:00 32 16.6667 24.4712 39.4737 47.6126 140.15
$data['id'] 24-12-24 11:00 37 33.3333 24.3323 43.1818 48.8464 141.5
$data['id'] 23-12-24 11:00 28 16.6667 10.6824 40.4762 47.6745 139.5
$data['id'] 20-12-24 11:00 35 33.3333 16.3205 45.6522 47.0288 140.95
$data['id'] 19-12-24 11:00 40 50 22.8486 41.3043 46.5116 139.95
$data['id'] 18-12-24 11:00 43 50 42.1365 41.3043 42.3156 144.75
$data['id'] 17-12-24 11:00 45 50 51.0385 38.6364 41.135 144.05
$data['id'] 16-12-24 11:00 44 50 43.6201 40.4762 43.864 146.05
$data['id'] 13-12-24 11:00 56 66.6667 71.5133 45.6522 42.9429 148.3
$data['id'] 12-12-24 11:00 53 66.6667 59.5687 41.3043 46.3858 148.55
$data['id'] 11-12-24 11:00 51 66.6667 51.4824 41.3043 45.0687 149.15
$data['id'] 10-12-24 11:00 56 50 43.0993 40.4762 93.366 146.55
$data['id'] 09-12-24 11:00 57 50 45.2784 40.4762 93.4401 147.2
$data['id'] 06-12-24 11:00 51 50 48.9104 50 56.7726 147.1
$data['id'] 05-12-24 11:00 50 33.3333 30.2664 50 87.1025 142.6
$data['id'] 04-12-24 11:00 49 33.3333 28.5714 50 87.2844 142.35
$data['id'] 03-12-24 11:00 47 33.3333 22.7603 47.7273 87.3946 142.4
$data['id'] 02-12-24 11:00 44 16.6667 23.4866 50 87.2951 142.15
$data['id'] 29-11-24 11:00 40 16.6667 18.644 39.5833 87.1523 142.1
$data['id'] 28-11-24 11:00 40 16.6667 20.339 39.5833 87.301 141.9
$data['id'] 27-11-24 11:00 37 16.6667 11.138 36.9565 87.162 139.85
$data['id'] 26-11-24 11:00 37 16.6667 12.1065 34.0909 87.1027 139.65
$data['id'] 25-11-24 11:00 39 16.6667 16.2227 38.6364 86.9635 140.7
$data['id'] 22-11-24 11:00 37 16.6667 3.00003 41.3043 87.463 139.95
$data['id'] 21-11-24 11:00 34 16.6667 0 35.4167 87.5997 137.85
$data['id'] 20-11-24 11:00 36 16.6667 1.57896 41.3043 87.3083 138
$data['id'] 19-11-24 11:00 35 16.6667 0 38.6364 87.278 138.9
$data['id'] 18-11-24 11:00 36 16.6667 0 43.1818 86.3947 139.45
$data['id'] 15-11-24 11:00 43 16.6667 21.2903 47.9167 86.7052 142.4
$data['id'] 14-11-24 11:00 40 16.6667 11.9355 47.9167 87.2085 145.3
$data['id'] 13-11-24 11:00 38 16.6667 4.25536 45.6522 89.3946 143
$data['id'] 12-11-24 11:00 57 33.3333 53.9007 47.7273 93.8463 147.55
$data['id'] 11-11-24 11:00 54 33.3333 80.4965 47.7273 56.2657 153.7
$data['id'] 08-11-24 11:00 57 33.3333 51.4184 47.9167 98.4046 152.65
$data['id'] 07-11-24 11:00 29 16.6667 17.0213 43.75 38.7936 144.9
$data['id'] 06-11-24 11:00 32 16.6667 28.1787 45.6522 40.3719 143.65
$data['id'] 05-11-24 11:00 33 16.6667 30.8917 47.7273 38.1619 144.5
$data['id'] 04-11-24 11:00 33 16.6667 34.2424 47.7273 36.3959 145.95
$data['id'] 01-11-24 11:00 31 16.6667 32.6027 39.5833 35.8133 147.1
$data['id'] 31-10-24 11:00 33 16.6667 44.3836 39.5833 33.8797 146.15
$data['id'] 30-10-24 11:00 41 33.3333 56.7568 41.3043 35.0388 148.15
$data['id'] 29-10-24 11:00 50 50 68.6486 47.7273 35.5722 150.6
$data['id'] 28-10-24 11:00 48 50 64.9484 45.2381 35.1613 152.1
$data['id'] 25-10-24 11:00 42 33.3333 56.9587 45.6522 34.9426 149.9
$data['id'] 24-10-24 11:00 37 16.6667 50.75 41.3043 39.9453 149.55
$data['id'] 23-10-24 11:00 43 33.3333 52.7228 43.1818 43.863 148.3
$data['id'] 22-10-24 11:00 43 33.3333 58.6633 43.1818 40.7124 149.5
$data['id'] 21-10-24 11:00 51 50 75.9901 45.2381 36.0192 153.25
$data['id'] 18-10-24 11:00 47 33.3333 72.7723 43.1818 38.9005 152
$data['id'] 17-10-24 11:00 43 33.3333 65.5941 36.9565 39.1512 151.35
$data['id'] 16-10-24 11:00 52 50 76.8857 43.1818 41.4339 151.75
$data['id'] 15-10-24 11:00 54 50 83.455 43.1818 42.6375 153.95
$data['id'] 14-10-24 11:00 51 50 74.6959 40.4762 41.8443 153.05
$data['id'] 11-10-24 11:00 54 50 79.434 45.6522 41.8552 152.8
$data['id'] 10-10-24 11:00 53 50 72.6415 45.6522 43.788 151.7
$data['id'] 09-10-24 11:00 60 66.6667 79.2453 45.6522 49.0747 152.55
$data['id'] 08-10-24 11:00 57 66.6667 72.6257 43.1818 49.221 150.45
$data['id'] 07-10-24 11:00 55 50 75.6052 45.2381 49.4816 151.75
$data['id'] 04-10-24 11:00 63 66.6667 86.1759 50 52.6323 152.6
$data['id'] 03-10-24 11:00 63 66.6667 91.0233 45.6522 52.2584 153.85
$data['id'] 02-10-24 11:00 63 66.6667 86.7146 45.6522 53.177 155.1
$data['id'] 01-10-24 11:00 49 -1 95.3321 52.2727 52.8664 154.8
$data['id'] 30-09-24 11:00 65 66.6667 94.1072 47.7273 54.8108 156.1
$data['id'] 27-09-24 11:00 67 66.6667 94.4954 56.25 53.1601 158.75
$data['id'] 26-09-24 11:00 65 66.6667 87.8899 56.25 52.9377 154.3
$data['id'] 25-09-24 11:00 63 66.6667 81.4679 54.3478 52.9825 152.05
$data['id'] 24-09-24 11:00 64 66.6667 81.2844 56.8182 53.0572 152.2
$data['id'] 23-09-24 11:00 64 66.6667 82.2018 56.8182 52.7016 151.75
$data['id'] 20-09-24 11:00 71 83.3333 91.5596 60.4167 51.1347 152.2
$data['id'] 19-09-24 11:00 67 66.6667 92.0495 60.4167 51.0647 155.6
$data['id'] 18-09-24 11:00 72 83.3333 97.1731 58.6957 49.5898 154.3
$data['id'] 17-09-24 11:00 77 100 100 61.3636 49.2388 157.15
$data['id'] 16-09-24 11:00 77 100 98.2238 61.3636 50.0794 155.75
$data['id'] 13-09-24 11:00 78 100 100 64.5833 50.0324 156.8
$data['id'] 12-09-24 11:00 73 83.3333 100 60.4167 48.2979 155.1
$data['id'] 11-09-24 11:00 69 83.3333 91.9038 54.3478 49.142 150.1
$data['id'] 10-09-24 11:00 73 83.3333 100 61.3636 47.5728 150
$data['id'] 09-09-24 11:00 68 83.3333 90.7489 56.8182 43.8257 151.2
$data['id'] 06-09-24 11:00 65 83.3333 87.2247 52.0833 41.2462 146.9
$data['id'] 05-09-24 11:00 66 83.3333 91.1894 52.0833 40.5813 149.15
$data['id'] 04-09-24 11:00 73 100 97.1366 54.3478 40.8992 151.4
$data['id'] 03-09-24 11:00 77 100 100 56.8182 51.7565 151.4
$data['id'] 02-09-24 11:00 67 83.3333 92.1053 52.2727 43.768 147.25
$data['id'] 30-08-24 11:00 75 100 100 56.25 43.9322 148.05
$data['id'] 29-08-24 11:00 70 66.6667 100 56.25 58.7842 146.75
$data['id'] 28-08-24 11:00 70 66.6667 100 54.3478 59.458 144.85
$data['id'] 27-08-24 11:00 69 66.6667 100 52.2727 59.4923 143.4
$data['id'] 26-08-24 11:00 68 66.6667 98.8461 47.7273 59.6073 142
$data['id'] 23-08-24 11:00 64 66.6667 86.1538 43.75 59.4803 141.1
$data['id'] 22-08-24 11:00 63 66.6667 86.3158 43.75 59.0383 139.95
$data['id'] 21-08-24 11:00 67 83.3333 79.6491 45.6522 59.945 141.3
$data['id'] 20-08-24 11:00 68 83.3333 85.2631 47.7273 59.6304 139.9
$data['id'] 19-08-24 11:00 61 66.6667 72.6315 47.7273 59.2292 140.4
$data['id'] 16-08-24 11:00 66 83.3333 79.6491 43.75 59.2809 138.55
$data['id'] 15-08-24 11:00 62 83.3333 64.2105 43.75 59.9596 140.45
$data['id'] 14-08-24 11:00 61 83.3333 59.2982 41.3043 60.107 138.1
$data['id'] 13-08-24 11:00 54 66.6667 45.2631 43.1818 61.5085 137.85
$data['id'] 12-08-24 11:00 61 66.6667 73.3333 47.7273 59.986 138.2
$data['id'] 09-08-24 11:00 69 83.3333 82.1052 52.0833 60.1189 138.75
$data['id'] 08-08-24 11:00 63 83.3333 59.6491 47.9167 62.8243 140.05
$data['id'] 07-08-24 11:00 60 66.6667 67.3684 50 57.8009 142.4
$data['id'] 06-08-24 11:00 55 50 67.0176 47.7273 57.5385 137.4
$data['id'] 05-08-24 11:00 53 50 56.4912 47.7273 59.5796 139.15
$data['id'] 02-08-24 11:00 76 83.3333 100 52.0833 70.0029 139.65
$data['id'] 01-08-24 11:00 34 33.3333 21.0526 47.9167 36.7794 130.95
$data['id'] 31-07-24 11:00 40 33.3333 38.2456 50 38.911 132.75
$data['id'] 30-07-24 11:00 35 33.3333 24.2105 47.7273 38.3761 132.9
$data['id'] 29-07-24 11:00 36 33.3333 22.4561 50 38.6272 131.55
$data['id'] 26-07-24 11:00 30 33.3333 9.12283 41.3043 37.9335 131.05
$data['id'] 25-07-24 11:00 29 33.3333 4.03226 41.3043 40.8583 129.85
$data['id'] 24-07-24 11:00 32 33.3333 19.3548 41.3043 36.5201 131.8
$data['id'] 23-07-24 11:00 34 33.3333 22.2513 43.1818 38.8852 132.3
$data['id'] 22-07-24 11:00 32 33.3333 16.7539 40.4762 38.3166 132.9
$data['id'] 19-07-24 11:00 30 33.3333 12.3036 41.3043 35.5637 130.65
$data['id'] 18-07-24 11:00 31 33.3333 17.2775 41.3043 35.562 132.65
$data['id'] 17-07-24 11:00 33 33.3333 18.8481 41.3043 38.8144 131.5
$data['id'] 16-07-24 11:00 29 33.3333 9.94762 35.7143 39.9295 131.8
$data['id'] 15-07-24 11:00 32 33.3333 18.0628 40.4762 39.4136 130.85
$data['id'] 12-07-24 11:00 21 16.6667 0 28.2609 40.4849 131.85
$data['id'] 11-07-24 11:00 28 33.3333 6.8063 32.6087 40.2727 129.9
$data['id'] 10-07-24 11:00 22 16.6667 0 28.2609 44.4059 129.25
$data['id'] 09-07-24 11:00 29 33.3333 8.90051 29.5455 46.5052 129
$data['id'] 08-07-24 11:00 33 33.3333 16.0891 35.7143 47.2632 130.7
$data['id'] 05-07-24 11:00 34 33.3333 15.859 41.3043 46.9423 131.35
$data['id'] 04-07-24 11:00 29 16.6667 12.3287 41.3043 46.635 132.25
$data['id'] 03-07-24 11:00 27 16.6667 8.02349 36.9565 46.3634 130.5
$data['id'] 02-07-24 11:00 24 16.6667 0.598778 35.7143 46.9144 129
$data['id'] 01-07-24 11:00 25 16.6667 3.59279 35.7143 47.5433 129.5
$data['id'] 28-06-24 11:00 26 16.6667 1.49575 39.5833 46.4918 129.45
$data['id'] 27-06-24 11:00 26 16.6667 2.78967 39.5833 47.358 131.55
$data['id'] 26-06-24 11:00 26 16.6667 4.92503 36.9565 47.5955 130.95
$data['id'] 25-06-24 11:00 28 16.6667 9.50493 40.4762 47.5808 133.65
$data['id'] 24-06-24 11:00 28 16.6667 5.94059 43.1818 46.6098 134.35
$data['id'] 21-06-24 11:00 28 16.6667 8.11876 43.75 46.8169 132.6
$data['id'] 20-06-24 11:00 27 16.6667 5.54453 43.75 44.8989 133.65
$data['id'] 19-06-24 11:00 25 16.6667 0 41.3043 43.4426 132.05
$data['id'] 18-06-24 11:00 25 16.6667 0 43.1818 43.1449 134
$data['id'] 17-06-24 11:00 26 16.6667 0 47.7273 41.62 134.25
$data['id'] 14-06-24 11:00 26 16.6667 0 47.9167 39.9839 136.7
$data['id'] 13-06-24 11:00 32 33.3333 9.87908 47.9167 37.3181 139.65
$data['id'] 12-06-24 11:00 35 33.3333 10.978 52.2727 46.1936 144.1
$data['id'] 07-06-24 11:00 35 33.3333 5.98802 52.0833 49.0469 140.9
$data['id'] 06-06-24 11:00 37 33.3333 10.8963 56.25 48.2168 140.15
$data['id'] 05-06-24 11:00 35 33.3333 6.67841 54.3478 46.5961 142.4
$data['id'] 04-06-24 11:00 29 16.6667 0 52.2727 47.089 139.8
$data['id'] 03-06-24 11:00 44 16.6667 3.16348 56.8182 99.7487 139.95
$data['id'] 31-05-24 11:00 43 16.6667 4.39367 54.3478 99.8239 139.9
$data['id'] 30-05-24 11:00 31 16.6667 4.56943 56.8182 49.295 141.55
$data['id'] 29-05-24 11:00 31 16.6667 3.16348 56.8182 49.7832 139.55
$data['id'] 28-05-24 11:00 32 16.6667 10.0176 54.7619 49.5206 140.05
$data['id'] 27-05-24 11:00 45 16.6667 7.38139 57.5 99.4974 142.05
$data['id'] 24-05-24 11:00 45 33.3333 4.39367 52.2727 92.6635 140.6
$data['id'] 23-05-24 11:00 43 33.3333 2.28474 47.7273 92.3796 140
$data['id'] 22-05-24 11:00 43 33.3333 0 47.7273 92.0734 138.8
$data['id'] 21-05-24 11:00 43 33.3333 0 50 90.5823 139.3
$data['id'] 20-05-24 11:00 38 16.6667 0 47.5 90.647 139.95
$data['id'] 17-05-24 11:00 44 33.3333 0 52.2727 90.9742 139.45
$data['id'] 16-05-24 11:00 31 16.6667 13.2842 52.2727 42.6433 143.55
$data['id'] 15-05-24 11:00 32 16.6667 15.3136 52.2727 45.2274 146.85
$data['id'] 14-05-24 11:00 33 16.6667 21.7153 50 46.2287 144.15
$data['id'] 13-05-24 11:00 33 16.6667 25.1825 47.5 46.6208 147.95
$data['id'] 10-05-24 11:00 40 33.3333 29.927 52.2727 46.3932 148
$data['id'] 09-05-24 11:00 34 16.6667 25.5474 47.7273 46.4954 147.4
$data['id'] 08-05-24 11:00 34 16.6667 26.2774 47.7273 45.9733 146.65
$data['id'] 07-05-24 11:00 29 16.6667 10.0365 45.2381 46.8484 144.45
$data['id'] 06-05-24 11:00 28 16.6667 6.93434 42.5 46.9399 142
$data['id'] 03-05-24 11:00 26 16.6667 2.91972 38.6364 47.5072 140.95
$data['id'] 02-05-24 11:00 20 0 0.912408 34.0909 47.7758 140.8
$data['id'] 30-04-24 11:00 27 16.6667 11.8613 35.7143 46.6349 142.2
$data['id'] 29-04-24 11:00 28 16.6667 13.4513 37.5 47.1662 143.4
$data['id'] 26-04-24 11:00 23 0 7.92253 38.6364 47.7251 141.9
$data['id'] 25-04-24 11:00 37 16.6667 34.6831 38.6364 58.2871 148.75
$data['id'] 24-04-24 11:00 42 16.6667 49.824 40.4762 61.2561 151.45
$data['id'] 23-04-24 11:00 42 16.6667 48.5915 42.5 60.5033 155
$data['id'] 22-04-24 11:00 39 16.6667 43.3099 37.5 58.541 151.45
$data['id'] 19-04-24 11:00 39 16.6667 41.3732 43.1818 55.7533 151.2
$data['id'] 18-04-24 11:00 38 16.6667 44.3662 38.6364 53.4115 153
$data['id'] 17-04-24 11:00 45 33.3333 51.5845 45.2381 53.6008 153.05
$data['id'] 16-04-24 11:00 43 33.3333 44.7183 42.5 51.8034 153.25
$data['id'] 15-04-24 11:00 48 33.3333 59.8591 47.5 53.7993 154.75
$data['id'] 12-04-24 11:00 51 33.3333 66.9014 52.2727 53.5706 155.2
$data['id'] 11-04-24 11:00 54 50 64.0845 52.2727 53.5583 156.85
$data['id'] 10-04-24 11:00 58 66.6667 66.9014 50 50.8135 156.45
$data['id'] 09-04-24 11:00 59 66.6667 67.4296 47.5 58.0381 155.65
$data['id'] 08-04-24 11:02 60 66.6667 70.5986 47.5 57.3784 159.1
$data['id'] 05-04-24 11:00 59 66.6667 66.3732 54.7619 48.5213 158.15
$data['id'] 04-04-24 11:00 57 66.6667 63.5563 52.2727 48.0683 158
$data['id'] 03-04-24 11:00 61 66.6667 74.1197 54.7619 48.7083 159.85
$data['id'] 02-04-24 11:00 65 66.6667 86.9718 57.5 51.2539 164.45
$data['id'] 28-03-24 11:00 64 66.6667 88.7324 65.9091 35.8762 164.05
$data['id'] 27-03-24 11:00 62 66.6667 87.6761 61.3636 35.9357 163.75
$data['id'] 26-03-24 11:00 63 66.6667 90.3169 61.3636 35.9028 163.65
$data['id'] 25-03-24 11:00 72 100 92.6056 59.5238 36.7515 164.6
$data['id'] 22-03-24 11:00 74 100 100 61.3636 36.987 167.2
$data['id'] 21-03-24 11:00 74 100 100 61.3636 37.1908 164.95
$data['id'] 20-03-24 11:00 73 100 100 56.8182 37.1945 162.15
$data['id'] 19-03-24 11:00 66 83.3333 93.6619 52.2727 37.1262 159.5
$data['id'] 18-03-24 11:00 67 83.3333 96.7136 54.7619 36.7329 159.15
$data['id'] 15-03-24 11:00 74 100 100 61.3636 36.9179 161.3
$data['id'] 14-03-24 10:00 74 100 100 61.3636 36.8899 160.75
$data['id'] 13-03-24 10:00 73 100 97.6526 61.3636 36.8372 160.2
$data['id'] 12-03-24 10:02 66 83.3333 88.2629 56.8182 36.6523 159.45
$data['id'] 11-03-24 10:02 70 100 91.0798 54.7619 35.4531 158.5
$data['id'] 08-03-24 10:00 73 100 100 56.8182 36.1549 160.45
$data['id'] 07-03-24 10:00 64 83.3333 88.5558 52.2727 34.5638 158.65
$data['id'] 06-03-24 10:00 71 100 100 52.2727 34.9853 157.95
$data['id'] 05-03-24 10:00 62 83.3333 75.4768 52.2727 38.7294 151.55
$data['id'] 04-03-24 12:00 53 66.6667 58.8556 50 38.3982 153.55
$data['id'] 01-03-24 12:00 55 66.6667 68.9374 47.7273 39.5854 152.15
$data['id'] 29-02-24 12:00 40 33.3333 11.1717 52.0833 65.3094 140.75
$data['id'] 28-02-24 12:00 37 33.3333 1.90739 50 64.4929 139.95
$data['id'] 27-02-24 12:00 39 33.3333 7.90189 52.2727 63.814 140.25
$data['id'] 26-02-24 12:00 41 33.3333 16.0763 52.2727 64.9736 141.85
$data['id'] 23-02-24 12:00 42 33.3333 18.5287 52.0833 65.0107 142.85
$data['id'] 22-02-24 12:00 40 33.3333 14.4415 47.9167 66.046 142.6
$data['id'] 21-02-24 12:00 40 33.3333 10.8992 50 66.8167 140.65
$data['id'] 20-02-24 12:00 39 33.3333 8.99187 47.7273 66.5656 141.05
$data['id'] 19-02-24 12:00 41 33.3333 13.624 52.2727 67.2701 142.25
$data['id'] 16-02-24 12:00 42 33.3333 16.0763 52.0833 68.2441 142.15
$data['id'] 15-02-24 12:00 40 33.3333 11.9891 47.9167 67.9804 141
$data['id'] 14-02-24 12:00 37 33.3333 2.4523 45.6522 68.4045 139
$data['id'] 13-02-24 12:00 40 33.3333 17.3697 43.1818 67.427 139.4
$data['id'] 12-02-24 12:00 41 33.3333 29.6983 43.1818 61.6841 142.1
$data['id'] 09-02-24 12:00 41 33.3333 25.7541 43.75 63.3996 140.75
$data['id'] 08-02-24 12:00 43 33.3333 32.2506 43.75 62.909 142.15
$data['id'] 07-02-24 12:00 42 33.3333 29.2343 45.6522 63.5083 141.7
$data['id'] 06-02-24 12:00 39 33.3333 22.7991 38.6364 64.2929 142.05
$data['id'] 05-02-24 12:00 38 16.6667 28.7815 43.1818 64.4132 141.05
$data['id'] 02-02-24 12:00 43 16.6667 42.2269 47.9167 65.2992 141.1
$data['id'] 01-02-24 12:00 41 16.6667 38.0252 45.6522 66.1948 143.15
$data['id'] 31-01-24 12:00 39 16.6667 32.3529 43.1818 67.6303 142.3
$data['id'] 30-01-24 12:00 38 16.6667 30.4622 40.4762 65.0054 140.2
$data['id'] 29-01-24 12:00 36 16.6667 27.1008 35.7143 65.2736 140.1
$data['id'] 26-01-24 12:00 42 16.6667 45.1905 43.1818 63.7842 141.5
$data['id'] 25-01-24 12:00 41 16.6667 43.7398 40.4762 64.2089 141.45
$data['id'] 24-01-24 12:02 43 16.6667 50.7317 42.5 63.1844 142.3
$data['id'] 23-01-24 12:02 45 16.6667 58.9502 44.7368 62.27 142.65
$data['id'] 22-01-24 12:00 47 16.6667 62.6963 50 62.15 143.3
$data['id'] 19-01-24 12:00 47 16.6667 62.2568 47.619 62.8177 142.45
$data['id'] 18-01-24 12:00 52 33.3333 60.1816 52.381 64.1322 143.05
$data['id'] 17-01-24 12:00 53 33.3333 64.01 50 67.1506 140.65
$data['id'] 16-01-24 12:00 62 50 76.1194 52.6316 72.216 144.7
$data['id'] 15-01-24 12:00 64 50 84.6765 52.6316 72.3002 148.8
$data['id'] 12-01-24 12:00 71 66.6667 85.9495 61.9048 72.0457 151.1
$data['id'] 11-01-24 12:00 73 66.6667 87.4463 66.6667 71.7176 151.35
$data['id'] 10-01-24 12:00 66 50 83.9532 60 70.738 150.9
$data['id'] 09-01-24 12:00 72 66.6667 86.5037 68.4211 69.5133 151.4
$data['id'] 08-01-24 12:00 72 66.6667 86.1849 68.4211 69.5633 151.05
$data['id'] 05-01-24 12:00 70 66.6667 81.6153 71.4286 62.1307 150.25
$data['id'] 04-01-24 12:14 72 66.6667 87.1413 71.4286 65.0673 151.6
$data['id'] 03-01-24 12:00 73 66.6667 88.0978 75 64.601 151.5
$data['id'] 02-01-24 12:00 86 100 97.0402 78.9474 71.158 154.85
$data['id'] 29-12-23 12:00 86 100 100 76.1905 67.9166 157.05
$data['id'] 28-12-23 12:00 84 100 99.6774 71.4286 67.5929 157.05
$data['id'] 27-12-23 12:00 83 100 100 71.4286 63.9047 156.8
$data['id'] 22-12-23 12:00 84 100 100 73.913 63.9746 155.4
$data['id'] 21-12-23 12:00 83 100 97.1879 71.7391 63.2126 154.75
$data['id'] 20-12-23 12:00 83 100 99.6626 71.7391 64.2037 154.3
$data['id'] 19-12-23 12:00 84 100 99.7735 75 64.3085 154.75
$data['id'] 18-12-23 12:00 85 100 100 76.1905 64.4039 153.75
$data['id'] 15-12-23 12:00 81 100 99.769 63.0435 63.5246 154.6
$data['id'] 14-12-23 12:00 81 100 100 67.3913 58.0798 153.95
$data['id'] 13-12-23 12:00 81 100 100 67.3913 60.0396 151.15
$data['id'] 12-12-23 12:00 79 100 98.4655 61.3636 56.4879 150.3
$data['id'] 11-12-23 12:00 78 100 100 61.9048 53.7168 149.05
$data['id'] 08-12-23 12:00 78 100 100 63.0435 52.1838 147.9
$data['id'] 07-12-23 12:00 76 100 100 52.381 51.7448 145.7
$data['id'] 06-12-23 12:00 69 83.3333 100 52.3179 44.3138 145.1
$data['id'] 05-12-23 12:00 64 66.6667 96.1661 52.2546 44.4306 141.5
$data['id'] 04-12-23 12:00 64 66.6667 94.7284 52.1912 44.713 139.3

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.