| PFF | PFFR | PFF / PFFR | |
| Gain YTD | -0.410 | 3.968 | -10% |
| Net Assets | 14B | 104M | 13,462% |
| Total Expense Ratio | 0.45 | 0.45 | 100% |
| Turnover | 20.00 | 14.00 | 143% |
| Yield | 6.55 | 7.85 | 83% |
| Fund Existence | 19 years | 9 years | - |
| PFF | PFFR | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 86% | 3 days ago 87% |
| Stochastic ODDS (%) | 3 days ago 73% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 62% | 3 days ago 65% |
| MACD ODDS (%) | 3 days ago 61% | 3 days ago 53% |
| TrendWeek ODDS (%) | 3 days ago 66% | 3 days ago 72% |
| TrendMonth ODDS (%) | 3 days ago 67% | 3 days ago 73% |
| Advances ODDS (%) | 14 days ago 67% | 13 days ago 78% |
| Declines ODDS (%) | 4 days ago 69% | 4 days ago 74% |
| BollingerBands ODDS (%) | 3 days ago 71% | 3 days ago 76% |
| Aroon ODDS (%) | 3 days ago 69% | 3 days ago 71% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FBL | 27.34 | 0.45 | +1.67% |
| GraniteShares 2x Long META Daily ETF | |||
| QTUM | 101.44 | 1.08 | +1.08% |
| Defiance Quantum ETF | |||
| TMET | 27.77 | 0.06 | +0.22% |
| iShares Transition-Enabling Metals ETF | |||
| ARMG | 8.89 | -0.11 | -1.17% |
| Leverage Shares 2X Long Arm Daily ETF | |||
| MGF | 3.07 | -0.04 | -1.29% |
| MFS Government Markets Income Trust | |||
A.I.dvisor indicates that over the last year, PFF has been closely correlated with HBANP. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if PFF jumps, then HBANP could also see price increases.
| Ticker / NAME | Correlation To PFF | 1D Price Change % | ||
|---|---|---|---|---|
| PFF | 100% | +0.53% | ||
| HBANP - PFF | 74% Closely correlated | +0.65% | ||
| NTRSO - PFF | 67% Closely correlated | +0.67% | ||
| ACGLO - PFF | 65% Loosely correlated | +0.53% | ||
| FITBO - PFF | 65% Loosely correlated | +0.33% | ||
| ACGLN - PFF | 64% Loosely correlated | +0.77% | ||
More | ||||
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 | ||||