| FTAG | PHO | FTAG / PHO | |
| Gain YTD | 19.454 | -1.923 | -1,012% |
| Net Assets | 15.3M | 1.97B | 1% |
| Total Expense Ratio | 0.70 | 0.59 | 119% |
| Turnover | 13.00 | 34.00 | 38% |
| Yield | 1.24 | 0.57 | 219% |
| Fund Existence | 17 years | 21 years | - |
| FTAG | PHO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 77% | 2 days ago 85% |
| Stochastic ODDS (%) | 2 days ago 77% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 69% | 2 days ago 74% |
| MACD ODDS (%) | 2 days ago 71% | 2 days ago 70% |
| TrendWeek ODDS (%) | 2 days ago 78% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 73% | 2 days ago 78% |
| Advances ODDS (%) | 9 days ago 79% | 8 days ago 82% |
| Declines ODDS (%) | 2 days ago 83% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 75% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 78% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| APOC | 26.54 | -0.01 | -0.02% |
| Innovator Eq Dfnd Prt ETF - 6 Mo Apr/Oct | |||
| CBXO | 22.20 | -0.02 | -0.11% |
| Calamos Bitcoin 90 Str Alt Prt ETF-Oct | |||
| ACP | 4.92 | -0.07 | -1.40% |
| abrdn Income Credit Strategies Fund | |||
| EWZ | 38.07 | -0.54 | -1.40% |
| iShares MSCI Brazil ETF | |||
| NBDS | 40.26 | -0.70 | -1.71% |
| Neuberger Disrupters ETF | |||
A.I.dvisor indicates that over the last year, FTAG has been loosely correlated with ASIX. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if FTAG jumps, then ASIX could also see price increases.
| Ticker / NAME | Correlation To FTAG | 1D Price Change % | ||
|---|---|---|---|---|
| FTAG | 100% | -0.20% | ||
| ASIX - FTAG | 57% Loosely correlated | -0.18% | ||
| LXU - FTAG | 52% Loosely correlated | +3.08% | ||
| CMP - FTAG | 48% Loosely correlated | -0.62% | ||
| UAN - FTAG | 28% Poorly correlated | +0.20% | ||
| MOS - FTAG | 13% Poorly correlated | -1.21% | ||
More | ||||
A.I.dvisor indicates that over the last year, PHO has been closely correlated with XYL. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if PHO jumps, then XYL could also see price increases.
| Ticker / NAME | Correlation To PHO | 1D Price Change % | ||
|---|---|---|---|---|
| PHO | 100% | -1.36% | ||
| XYL - PHO | 70% Closely correlated | -1.08% | ||
| MWA - PHO | 69% Closely correlated | +0.97% | ||
| FELE - PHO | 63% Loosely correlated | -0.88% | ||
| ITRI - PHO | 48% Loosely correlated | -1.99% | ||
| STN - PHO | 45% Loosely correlated | -3.30% | ||
More | ||||