| EPP | GMF | EPP / GMF | |
| Gain YTD | 15.992 | 20.526 | 78% |
| Net Assets | 1.72B | 386M | 447% |
| Total Expense Ratio | 0.48 | 0.49 | 98% |
| Turnover | 8.00 | 5.00 | 160% |
| Yield | 3.56 | 1.72 | 207% |
| Fund Existence | 24 years | 19 years | - |
| EPP | GMF | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 73% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 74% |
| MACD ODDS (%) | 2 days ago 76% | 2 days ago 68% |
| TrendWeek ODDS (%) | 2 days ago 78% | 2 days ago 77% |
| TrendMonth ODDS (%) | 2 days ago 76% | 2 days ago 76% |
| Advances ODDS (%) | 10 days ago 78% | 22 days ago 83% |
| Declines ODDS (%) | 2 days ago 79% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 82% | 2 days ago 87% |
A.I.dvisor indicates that over the last year, EPP has been closely correlated with BHP. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if EPP jumps, then BHP could also see price increases.
A.I.dvisor indicates that over the last year, GMF 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 GMF jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To GMF | 1D Price Change % | ||
|---|---|---|---|---|
| GMF | 100% | -0.57% | ||
| TSM - GMF | 67% Closely correlated | -1.45% | ||
| BZ - GMF | 65% Loosely correlated | +1.36% | ||
| JD - GMF | 63% Loosely correlated | -0.30% | ||
| ATHM - GMF | 61% Loosely correlated | +0.63% | ||
| BIDU - GMF | 61% Loosely correlated | +2.66% | ||
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