| EMIF | SCHE | EMIF / SCHE | |
| Gain YTD | -2.057 | 12.352 | -17% |
| Net Assets | 13M | 12.9B | 0% |
| Total Expense Ratio | 0.60 | 0.06 | 1,000% |
| Turnover | 28.00 | 7.00 | 400% |
| Yield | 4.19 | 2.64 | 159% |
| Fund Existence | 17 years | 17 years | - |
| EMIF | SCHE | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 77% |
| MACD ODDS (%) | 2 days ago 74% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 76% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 73% | 2 days ago 81% |
| Advances ODDS (%) | 9 days ago 80% | 9 days ago 83% |
| Declines ODDS (%) | 2 days ago 74% | 2 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| Aroon ODDS (%) | 2 days ago 78% | 2 days ago 78% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| UCON | 24.65 | 0.03 | +0.10% |
| First Trust Smith Unconstrained Pl BdETF | |||
| TRBF | 48.69 | -0.01 | -0.01% |
| Angel Oak Total Return ETF | |||
| YJUN | 27.47 | -0.03 | -0.11% |
| FT Vest Intl Eq Mod Bf ETF June | |||
| CBTL | 17.62 | -0.06 | -0.34% |
| Calamos Ladrd Bitcoin 80 Str Alt Prt ETF | |||
| RSST | 33.71 | -0.18 | -0.53% |
| Return Stacked® US Stocks & Mgd Futs ETF | |||
A.I.dvisor indicates that over the last year, EMIF has been loosely correlated with CIG. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if EMIF jumps, then CIG could also see price increases.
| Ticker / NAME | Correlation To EMIF | 1D Price Change % | ||
|---|---|---|---|---|
| EMIF | 100% | -1.05% | ||
| CIG - EMIF | 59% Loosely correlated | -3.43% | ||
| OMAB - EMIF | 49% Loosely correlated | -0.12% | ||
| ASR - EMIF | 11% Poorly correlated | -1.09% | ||
| SBS - EMIF | 6% Poorly correlated | -3.45% | ||
| PAC - EMIF | 4% Poorly correlated | -1.20% | ||
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% | -0.33% | ||
| JD - SCHE | 73% Closely correlated | -4.63% | ||
| BILI - SCHE | 71% Closely correlated | -5.27% | ||
| BIDU - SCHE | 69% Closely correlated | -3.25% | ||
| NIO - SCHE | 62% Loosely correlated | -4.15% | ||
| GDS - SCHE | 61% Loosely correlated | +3.88% | ||
More | ||||