| COWZ | FTIF | COWZ / FTIF | |
| Gain YTD | 6.893 | 7.810 | 88% |
| Net Assets | 18.3B | 1.14M | 1,602,452% |
| Total Expense Ratio | 0.49 | 0.60 | 82% |
| Turnover | 151.00 | 90.00 | 168% |
| Yield | 1.57 | 2.56 | 62% |
| Fund Existence | 9 years | 3 years | - |
| COWZ | FTIF | |
|---|---|---|
| RSI ODDS (%) | N/A | 6 days ago 89% |
| Stochastic ODDS (%) | 6 days ago 80% | 6 days ago 76% |
| Momentum ODDS (%) | 6 days ago 85% | 6 days ago 79% |
| MACD ODDS (%) | 6 days ago 90% | N/A |
| TrendWeek ODDS (%) | 6 days ago 85% | 6 days ago 77% |
| TrendMonth ODDS (%) | 6 days ago 85% | 6 days ago 74% |
| Advances ODDS (%) | 6 days ago 85% | 6 days ago 76% |
| Declines ODDS (%) | 14 days ago 79% | N/A |
| BollingerBands ODDS (%) | 6 days ago 82% | 6 days ago 90% |
| Aroon ODDS (%) | 6 days ago 83% | 6 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BOEG | 13.71 | 2.31 | +20.22% |
| Leverage Shares 2X Long BA Daily ETF | |||
| MILN | 46.97 | 0.28 | +0.60% |
| Global X Millennials Consumer ETF | |||
| USMC | 68.74 | 0.15 | +0.21% |
| Principal US Mega-Cap ETF | |||
| SDHY | 16.42 | -0.01 | -0.06% |
| PGIM Short Duration High Yield Opportunities Fund | |||
| EQRR | 63.85 | -0.07 | -0.11% |
| ProShares Equities for Rising Rates 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% | -0.03% | ||
| FTV - COWZ | 80% Closely correlated | +0.74% | ||
| EMR - COWZ | 76% Closely correlated | -0.03% | ||
| CAT - COWZ | 74% Closely correlated | +2.52% | ||
| SLB - COWZ | 74% Closely correlated | -0.70% | ||
| CE - COWZ | 74% Closely correlated | -0.57% | ||
More | ||||
A.I.dvisor indicates that over the last year, FTIF has been closely correlated with CTRA. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTIF jumps, then CTRA could also see price increases.
| Ticker / NAME | Correlation To FTIF | 1D Price Change % | ||
|---|---|---|---|---|
| FTIF | 100% | N/A | ||
| CTRA - FTIF | 77% Closely correlated | -2.06% | ||
| CIVI - FTIF | 76% Closely correlated | -1.46% | ||
| OXY - FTIF | 69% Closely correlated | -0.87% | ||
| AR - FTIF | 69% Closely correlated | -2.92% | ||
| DOV - FTIF | 68% Closely correlated | +1.43% | ||
More | ||||