| IEMG | ROAM | IEMG / ROAM | |
| Gain YTD | 22.323 | 24.329 | 92% |
| Net Assets | 160B | 110M | 145,455% |
| Total Expense Ratio | 0.09 | 0.44 | 20% |
| Turnover | 6.00 | 32.00 | 19% |
| Yield | 2.31 | 2.46 | 94% |
| Fund Existence | 14 years | 12 years | - |
| IEMG | ROAM | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 74% | 3 days ago 65% |
| Stochastic ODDS (%) | 3 days ago 69% | 3 days ago 79% |
| Momentum ODDS (%) | 3 days ago 79% | 3 days ago 86% |
| MACD ODDS (%) | 3 days ago 80% | 3 days ago 80% |
| TrendWeek ODDS (%) | 3 days ago 83% | 3 days ago 75% |
| TrendMonth ODDS (%) | 3 days ago 82% | 3 days ago 82% |
| Advances ODDS (%) | 3 days ago 84% | 10 days ago 86% |
| Declines ODDS (%) | 18 days ago 79% | 18 days ago 76% |
| BollingerBands ODDS (%) | 3 days ago 89% | 3 days ago 80% |
| Aroon ODDS (%) | 3 days ago 81% | 3 days ago 74% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CCUP | 2.65 | 0.26 | +10.65% |
| T-REX 2X Long CRCL Daily Target ETF | |||
| OCIO | 37.93 | 0.15 | +0.41% |
| ClearShares OCIO ETF | |||
| PMAU | 26.94 | 0.01 | +0.04% |
| PGIM S&P 500 Max Buffer ETF - August | |||
| JMTG | 50.08 | -0.08 | -0.16% |
| JPMorgan Mortgage-Backed Securities ETF | |||
| LVHD | 44.38 | -0.17 | -0.38% |
| Franklin U.S. Low Volatility Hi Div ETF | |||
A.I.dvisor indicates that over the last year, IEMG has been closely correlated with BABA. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if IEMG jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To IEMG | 1D Price Change % | ||
|---|---|---|---|---|
| IEMG | 100% | +0.64% | ||
| BABA - IEMG | 75% Closely correlated | -8.57% | ||
| JD - IEMG | 69% Closely correlated | -0.14% | ||
| BILI - IEMG | 68% Closely correlated | +2.40% | ||
| BIDU - IEMG | 66% Loosely correlated | +1.35% | ||
| BZUN - IEMG | 61% Loosely correlated | +1.43% | ||
More | ||||
A.I.dvisor indicates that over the last year, ROAM has been closely correlated with TSM. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if ROAM jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To ROAM | 1D Price Change % | ||
|---|---|---|---|---|
| ROAM | 100% | +0.92% | ||
| TSM - ROAM | 67% Closely correlated | +0.71% | ||
| VALE - ROAM | 57% Loosely correlated | +2.53% | ||
| AU - ROAM | 53% Loosely correlated | +5.94% | ||
| TEL - ROAM | 51% Loosely correlated | +1.88% | ||
| BSAC - ROAM | 49% Loosely correlated | +1.71% | ||
More | ||||