| COWZ | ICAP | COWZ / ICAP | |
| Gain YTD | 5.100 | 13.534 | 38% |
| Net Assets | 18.1B | 71.6M | 25,279% |
| Total Expense Ratio | 0.49 | 3.19 | 15% |
| Turnover | 151.00 | 207.00 | 73% |
| Yield | 1.62 | 8.77 | 18% |
| Fund Existence | 9 years | 4 years | - |
| COWZ | ICAP | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 72% | 3 days ago 88% |
| Stochastic ODDS (%) | 1 day ago 84% | 3 days ago 76% |
| Momentum ODDS (%) | 1 day ago 85% | 3 days ago 85% |
| MACD ODDS (%) | 1 day ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 1 day ago 85% | 3 days ago 88% |
| TrendMonth ODDS (%) | 1 day ago 85% | 3 days ago 86% |
| Advances ODDS (%) | 3 days ago 85% | 3 days ago 87% |
| Declines ODDS (%) | 11 days ago 78% | 11 days ago 83% |
| BollingerBands ODDS (%) | 1 day ago 82% | 4 days ago 90% |
| Aroon ODDS (%) | 1 day ago 82% | 3 days ago 81% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| VNSE | 38.57 | N/A | N/A |
| Natixis Vaughan Nelson Select ETF | |||
| EOCT | 31.31 | -0.18 | -0.58% |
| Innovator Emerg Mkts Pwr Bffr ETF™-Oct | |||
| AAXJ | 93.90 | -1.12 | -1.18% |
| iShares MSCI All Country Asia ex Jpn ETF | |||
| HAPI | 40.58 | -0.66 | -1.61% |
| Harbor Human Capital Factor US LrgCapETF | |||
| NVYY | 21.88 | -0.39 | -1.75% |
| GraniteShares YieldBOOST NVDA ETF | |||
A.I.dvisor indicates that over the last year, COWZ has been closely correlated with FTV. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if COWZ jumps, then FTV could also see price increases.
| Ticker / NAME | Correlation To COWZ | 1D Price Change % | ||
|---|---|---|---|---|
| COWZ | 100% | -0.63% | ||
| FTV - COWZ | 80% Closely correlated | -0.13% | ||
| EMR - COWZ | 76% Closely correlated | -3.01% | ||
| CAT - COWZ | 74% Closely correlated | -3.40% | ||
| SLB - COWZ | 74% Closely correlated | +0.67% | ||
| CE - COWZ | 74% Closely correlated | +2.17% | ||
More | ||||
A.I.dvisor indicates that over the last year, ICAP has been closely correlated with HBAN. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICAP jumps, then HBAN could also see price increases.
| Ticker / NAME | Correlation To ICAP | 1D Price Change % | ||
|---|---|---|---|---|
| ICAP | 100% | +0.37% | ||
| HBAN - ICAP | 80% Closely correlated | +0.82% | ||
| GS - ICAP | 80% Closely correlated | +3.54% | ||
| MS - ICAP | 79% Closely correlated | +2.05% | ||
| FITB - ICAP | 78% Closely correlated | +0.51% | ||
| AXP - ICAP | 78% Closely correlated | +0.71% | ||
More | ||||