| BCX | PHO | BCX / PHO | |
| Gain YTD | 16.073 | 2.657 | 605% |
| Net Assets | 975M | 2.14B | 46% |
| Total Expense Ratio | 1.10 | 0.59 | 186% |
| Turnover | 67.00 | 25.00 | 268% |
| Yield | 2.13 | 0.53 | 405% |
| Fund Existence | 15 years | 20 years | - |
| BCX | PHO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 82% | 2 days ago 85% |
| Stochastic ODDS (%) | 2 days ago 81% | 2 days ago 82% |
| Momentum ODDS (%) | N/A | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 80% | 2 days ago 78% |
| TrendWeek ODDS (%) | 2 days ago 87% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 83% |
| Advances ODDS (%) | 7 days ago 85% | 14 days ago 84% |
| Declines ODDS (%) | 3 days ago 81% | 8 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 82% |
A.I.dvisor tells us that BCX and CVX have been poorly correlated (+17% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that BCX and CVX's prices will move in lockstep.
A.I.dvisor indicates that over the last year, PHO has been closely correlated with PNR. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if PHO jumps, then PNR could also see price increases.
| Ticker / NAME | Correlation To PHO | 1D Price Change % | ||
|---|---|---|---|---|
| PHO | 100% | -1.26% | ||
| PNR - PHO | 83% Closely correlated | -10.16% | ||
| FELE - PHO | 79% Closely correlated | +0.61% | ||
| WTS - PHO | 79% Closely correlated | -0.43% | ||
| FERG - PHO | 73% Closely correlated | +1.06% | ||
| ACM - PHO | 73% Closely correlated | -1.34% | ||
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