| OAEM | SPEM | OAEM / SPEM | |
| Gain YTD | 16.884 | 23.063 | 73% |
| Net Assets | 73.2M | 15B | 0% |
| Total Expense Ratio | 1.25 | 0.07 | 1,786% |
| Turnover | 35.00 | 2.00 | 1,750% |
| Yield | 0.75 | 2.41 | 31% |
| Fund Existence | 3 years | 19 years | - |
| OAEM | SPEM | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 78% | 2 days ago 75% |
| MACD ODDS (%) | 2 days ago 73% | 2 days ago 71% |
| TrendWeek ODDS (%) | 2 days ago 73% | 2 days ago 77% |
| TrendMonth ODDS (%) | 2 days ago 72% | 2 days ago 76% |
| Advances ODDS (%) | 8 days ago 85% | 9 days ago 82% |
| Declines ODDS (%) | 2 days ago 77% | 2 days ago 80% |
| BollingerBands ODDS (%) | N/A | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DECU | 26.57 | 0.07 | +0.26% |
| AllianzIM U.S. Equity Buffer15 UncDecETF | |||
| FDLS | 34.19 | -0.02 | -0.05% |
| Inspire Fidelis Multi Factor ETF | |||
| NFRA | 61.76 | -0.33 | -0.53% |
| FlexShares STOXX Global Broad Infras ETF | |||
| SKF | 29.06 | -0.20 | -0.67% |
| ProShares UltraShort Financials | |||
| SPXS | 38.83 | -0.42 | -1.07% |
| Direxion Daily S&P 500® Bear 3X ETF | |||
A.I.dvisor tells us that OAEM and BBD have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that OAEM and BBD's prices will move in lockstep.
| Ticker / NAME | Correlation To OAEM | 1D Price Change % | ||
|---|---|---|---|---|
| OAEM | 100% | -0.38% | ||
| BBD - OAEM | 22% Poorly correlated | -1.67% | ||
| SUZ - OAEM | 15% Poorly correlated | -0.66% | ||
| MELI - OAEM | 14% Poorly correlated | +0.89% | ||
| WIT - OAEM | 9% Poorly correlated | +2.28% | ||
| HDB - OAEM | 9% Poorly correlated | -1.80% | ||
More | ||||
A.I.dvisor indicates that over the last year, SPEM has been closely correlated with JD. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPEM jumps, then JD could also see price increases.
| Ticker / NAME | Correlation To SPEM | 1D Price Change % | ||
|---|---|---|---|---|
| SPEM | 100% | -0.21% | ||
| JD - SPEM | 71% Closely correlated | -1.95% | ||
| BILI - SPEM | 70% Closely correlated | -3.51% | ||
| BIDU - SPEM | 67% Closely correlated | -1.41% | ||
| BABA - SPEM | 67% Closely correlated | -0.52% | ||
| BZ - SPEM | 66% Closely correlated | +1.11% | ||
More | ||||