CZA | VXF | CZA / VXF | |
Gain YTD | 4.200 | 10.089 | 42% |
Net Assets | 180M | 83.7B | 0% |
Total Expense Ratio | 0.69 | 0.05 | 1,380% |
Turnover | 112.00 | 11.00 | 1,018% |
Yield | 1.20 | 1.10 | 109% |
Fund Existence | 19 years | 24 years | - |
CZA | VXF | |
---|---|---|
RSI ODDS (%) | N/A | 3 days ago84% |
Stochastic ODDS (%) | 3 days ago82% | 3 days ago89% |
Momentum ODDS (%) | 3 days ago72% | 3 days ago84% |
MACD ODDS (%) | 3 days ago73% | 3 days ago89% |
TrendWeek ODDS (%) | 3 days ago81% | 3 days ago85% |
TrendMonth ODDS (%) | 3 days ago74% | 3 days ago83% |
Advances ODDS (%) | 5 days ago81% | 5 days ago85% |
Declines ODDS (%) | 10 days ago72% | 3 days ago85% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago90% |
Aroon ODDS (%) | N/A | 3 days ago85% |
A.I.dvisor tells us that CZA and FMC have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CZA and FMC's prices will move in lockstep.
A.I.dvisor indicates that over the last year, VXF has been closely correlated with APO. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if VXF jumps, then APO could also see price increases.
Ticker / NAME | Correlation To VXF | 1D Price Change % | ||
---|---|---|---|---|
VXF | 100% | -0.32% | ||
APO - VXF | 72% Closely correlated | +0.45% | ||
KKR - VXF | 71% Closely correlated | +0.07% | ||
FERG - VXF | 63% Loosely correlated | +0.57% | ||
XYZ - VXF | 61% Loosely correlated | +0.89% | ||
MRVL - VXF | 55% Loosely correlated | -0.32% | ||
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