| EELV | SCHE | EELV / SCHE | |
| Gain YTD | 7.884 | 12.627 | 62% |
| Net Assets | 430M | 12.7B | 3% |
| Total Expense Ratio | 0.29 | 0.06 | 483% |
| Turnover | 68.00 | 7.00 | 971% |
| Yield | 3.80 | 2.57 | 148% |
| Fund Existence | 15 years | 17 years | - |
| EELV | SCHE | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 67% | N/A |
| Stochastic ODDS (%) | 4 days ago 89% | 4 days ago 81% |
| Momentum ODDS (%) | 4 days ago 58% | 4 days ago 71% |
| MACD ODDS (%) | 4 days ago 62% | 4 days ago 77% |
| TrendWeek ODDS (%) | 4 days ago 69% | 4 days ago 78% |
| TrendMonth ODDS (%) | 4 days ago 78% | 4 days ago 81% |
| Advances ODDS (%) | 18 days ago 79% | 4 days ago 83% |
| Declines ODDS (%) | 6 days ago 73% | 6 days ago 80% |
| BollingerBands ODDS (%) | 4 days ago 78% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 72% | 4 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TSMU | 70.96 | 1.11 | +1.59% |
| GraniteShares 2x Long TSM Daily ETF (TSMU) | |||
| DGAP | 31.09 | 0.07 | +0.23% |
| FT Vest U.S. Equity Buffer & Digital Return ETF - April (DGAP) | |||
| IBIG | 25.25 | -0.08 | -0.32% |
| iShares iBonds Oct 2030 Term TIPS ETF (IBIG) | |||
| CFA | 97.45 | -0.38 | -0.39% |
| VictoryShares US 500 Volatility Wtd ETF (CFA) | |||
| UTG | 35.95 | -0.31 | -0.85% |
| Reaves Utility Income Fund | |||
A.I.dvisor indicates that over the last year, EELV has been loosely correlated with LTM. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if EELV jumps, then LTM could also see price increases.
| Ticker / NAME | Correlation To EELV | 1D Price Change % | ||
|---|---|---|---|---|
| EELV | 100% | -0.28% | ||
| LTM - EELV | 63% Loosely correlated | -0.39% | ||
| IBN - EELV | 46% Loosely correlated | -0.11% | ||
| BAP - EELV | 44% Loosely correlated | -0.55% | ||
| HDB - EELV | 42% Loosely correlated | +2.21% | ||
| CLS - EELV | 38% Loosely correlated | +0.82% | ||
More | ||||
A.I.dvisor indicates that over the last year, SCHE has been closely correlated with JD. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if SCHE jumps, then JD could also see price increases.
| Ticker / NAME | Correlation To SCHE | 1D Price Change % | ||
|---|---|---|---|---|
| SCHE | 100% | +0.30% | ||
| JD - SCHE | 73% Closely correlated | +1.05% | ||
| BILI - SCHE | 71% Closely correlated | +3.47% | ||
| BIDU - SCHE | 69% Closely correlated | -0.11% | ||
| NIO - SCHE | 62% Loosely correlated | +1.10% | ||
| GDS - SCHE | 61% Loosely correlated | +4.76% | ||
More | ||||