| PFFR | PGX | PFFR / PGX | |
| Gain YTD | 3.968 | 2.538 | 156% |
| Net Assets | 104M | 3.88B | 3% |
| Total Expense Ratio | 0.45 | 0.51 | 88% |
| Turnover | 14.00 | 7.00 | 200% |
| Yield | 7.85 | 5.92 | 133% |
| Fund Existence | 9 years | 18 years | - |
| PFFR | PGX | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 87% | 3 days ago 72% |
| Stochastic ODDS (%) | 3 days ago 81% | 3 days ago 68% |
| Momentum ODDS (%) | 3 days ago 65% | 3 days ago 63% |
| MACD ODDS (%) | 3 days ago 53% | 3 days ago 58% |
| TrendWeek ODDS (%) | 3 days ago 72% | 3 days ago 71% |
| TrendMonth ODDS (%) | 3 days ago 73% | 3 days ago 70% |
| Advances ODDS (%) | 13 days ago 78% | 18 days ago 62% |
| Declines ODDS (%) | 4 days ago 74% | 4 days ago 70% |
| BollingerBands ODDS (%) | 3 days ago 76% | 3 days ago 73% |
| Aroon ODDS (%) | 3 days ago 71% | 3 days ago 80% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DRSK | 28.94 | 0.21 | +0.73% |
| Aptus Defined Risk ETF | |||
| OIA | 5.98 | -0.01 | -0.17% |
| INVESCO Municipal Income OPPORTUNITIES TRUST | |||
| MCHS | 31.57 | -0.45 | -1.41% |
| Matthews China Discovery Active ETF | |||
| HDGE | 17.42 | -0.44 | -2.46% |
| AdvisorShares Ranger Equity Bear ETF | |||
| BLOX | 17.04 | -0.47 | -2.68% |
| Nicholas Crypto Income ETF | |||
A.I.dvisor indicates that over the last year, PFFR has been loosely correlated with BPYPO. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if PFFR jumps, then BPYPO could also see price increases.
| Ticker / NAME | Correlation To PFFR | 1D Price Change % | ||
|---|---|---|---|---|
| PFFR | 100% | +0.39% | ||
| BPYPO - PFFR | 35% Loosely correlated | +0.76% | ||
| LANDO - PFFR | 27% Poorly correlated | +0.09% | ||
| BPYPN - PFFR | 27% Poorly correlated | +0.11% | ||
| LANDP - PFFR | 22% Poorly correlated | +0.05% | ||
| NHPAP - PFFR | 20% Poorly correlated | -0.10% | ||
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% | +0.27% | ||
| HBANP - PGX | 75% Closely correlated | +0.65% | ||
| NTRSO - PGX | 72% Closely correlated | +0.67% | ||
| SIGIP - PGX | 72% Closely correlated | +0.22% | ||
| ACGLN - PGX | 69% Closely correlated | +0.77% | ||
| ACGLO - PGX | 69% Closely correlated | +0.53% | ||
More | ||||