| BOUT | COWG | BOUT / COWG | |
| Gain YTD | 5.704 | -2.272 | -251% |
| Net Assets | 13.4M | 2.33B | 1% |
| Total Expense Ratio | 0.85 | 0.49 | 173% |
| Turnover | 1668.00 | 108.00 | 1,544% |
| Yield | 0.32 | 0.32 | 102% |
| Fund Existence | 7 years | 3 years | - |
| BOUT | COWG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 72% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 81% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 75% | 2 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 77% | 2 days ago 74% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 74% |
| Advances ODDS (%) | 3 days ago 83% | 9 days ago 90% |
| Declines ODDS (%) | 17 days ago 73% | 2 days ago 71% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| XSLV | 49.46 | 0.85 | +1.74% |
| Invesco S&P SmallCap Low Volatility ETF | |||
| IYT | 80.96 | 1.21 | +1.52% |
| iShares Transportation Average ETF | |||
| FLGR | 34.19 | -0.13 | -0.38% |
| Franklin FTSE Germany ETF | |||
| LST | 42.13 | -0.17 | -0.41% |
| Leuthold Select Industries ETF | |||
| LFGY | 21.61 | -1.51 | -6.53% |
| YieldMax Crypto Industry & Tech Portfolio Option Income ETF | |||
A.I.dvisor indicates that over the last year, BOUT has been loosely correlated with PLTR. These tickers have moved in lockstep 47% of the time. This A.I.-generated data suggests there is some statistical probability that if BOUT jumps, then PLTR could also see price increases.
| Ticker / NAME | Correlation To BOUT | 1D Price Change % | ||
|---|---|---|---|---|
| BOUT | 100% | -3.02% | ||
| PLTR - BOUT | 47% Loosely correlated | -11.62% | ||
| RYAN - BOUT | 24% Poorly correlated | +1.43% | ||
| ABX - BOUT | 22% Poorly correlated | +6.30% | ||
| AAPG - BOUT | 18% Poorly correlated | +3.51% | ||
| CVLT - BOUT | 15% Poorly correlated | +0.26% | ||
More | ||||
A.I.dvisor indicates that over the last year, COWG has been closely correlated with CRWD. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if COWG jumps, then CRWD could also see price increases.
| Ticker / NAME | Correlation To COWG | 1D Price Change % | ||
|---|---|---|---|---|
| COWG | 100% | -1.18% | ||
| CRWD - COWG | 73% Closely correlated | -1.51% | ||
| ZS - COWG | 72% Closely correlated | -1.20% | ||
| META - COWG | 71% Closely correlated | -3.28% | ||
| NVDA - COWG | 70% Closely correlated | -3.41% | ||
| NOW - COWG | 70% Closely correlated | +1.18% | ||
More | ||||