| EPRF | PGX | EPRF / PGX | |
| Gain YTD | 0.605 | 2.264 | 27% |
| Net Assets | 80.7M | 3.87B | 2% |
| Total Expense Ratio | 0.47 | 0.51 | 92% |
| Turnover | N/A | 7.00 | - |
| Yield | 6.07 | 5.92 | 103% |
| Fund Existence | 10 years | 18 years | - |
| EPRF | PGX | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 69% |
| Stochastic ODDS (%) | 2 days ago 67% | 2 days ago 70% |
| Momentum ODDS (%) | 2 days ago 69% | 2 days ago 61% |
| MACD ODDS (%) | 2 days ago 60% | 2 days ago 51% |
| TrendWeek ODDS (%) | 2 days ago 70% | 2 days ago 71% |
| TrendMonth ODDS (%) | 2 days ago 69% | 2 days ago 70% |
| Advances ODDS (%) | 10 days ago 73% | 15 days ago 62% |
| Declines ODDS (%) | 4 days ago 71% | 2 days ago 70% |
| BollingerBands ODDS (%) | 2 days ago 75% | 2 days ago 77% |
| Aroon ODDS (%) | 2 days ago 74% | 2 days ago 77% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| QID | 22.58 | 1.02 | +4.73% |
| ProShares UltraShort QQQ | |||
| ASEA | 17.90 | -0.08 | -0.44% |
| Global X FTSE Southeast Asia ETF | |||
| BEDZ | 31.05 | -0.44 | -1.38% |
| AdvisorShares Hotel ETF | |||
| QVML | 38.51 | -0.55 | -1.42% |
| Invesco S&P 500 QVM Multi-factor ETF | |||
| LFGY | 26.36 | -0.86 | -3.16% |
| YieldMax Crypto Industry & Tech Portfolio Option Income ETF | |||
A.I.dvisor indicates that over the last year, EPRF has been closely correlated with ACGLO. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if EPRF jumps, then ACGLO could also see price increases.
| Ticker / NAME | Correlation To EPRF | 1D Price Change % | ||
|---|---|---|---|---|
| EPRF | 100% | -0.68% | ||
| ACGLO - EPRF | 73% Closely correlated | -1.24% | ||
| ACGLN - EPRF | 70% Closely correlated | -0.99% | ||
| NTRSO - EPRF | 69% Closely correlated | -0.26% | ||
| FCNCP - EPRF | 61% Loosely correlated | -0.41% | ||
| WAFDP - EPRF | 59% Loosely correlated | +0.30% | ||
More | ||||
A.I.dvisor indicates that over the last year, PGX has been closely correlated with HBANP. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if PGX jumps, then HBANP could also see price increases.
| Ticker / NAME | Correlation To PGX | 1D Price Change % | ||
|---|---|---|---|---|
| PGX | 100% | -0.36% | ||
| HBANP - PGX | 75% Closely correlated | -0.47% | ||
| NTRSO - PGX | 73% Closely correlated | -0.26% | ||
| SIGIP - PGX | 72% Closely correlated | -0.52% | ||
| ACGLN - PGX | 70% Closely correlated | -0.99% | ||
| ACGLO - PGX | 69% Closely correlated | -1.24% | ||
More | ||||