IFRA | OBOR | IFRA / OBOR | |
Gain YTD | 4.776 | 9.060 | 53% |
Net Assets | 2.52B | 3.52M | 71,721% |
Total Expense Ratio | 0.30 | 0.79 | 38% |
Turnover | 32.00 | 27.00 | 119% |
Yield | 1.92 | 3.59 | 53% |
Fund Existence | 7 years | 8 years | - |
IFRA | |
---|---|
RSI ODDS (%) | 2 days ago88% |
Stochastic ODDS (%) | 2 days ago79% |
Momentum ODDS (%) | 2 days ago89% |
MACD ODDS (%) | 2 days ago82% |
TrendWeek ODDS (%) | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago82% |
Advances ODDS (%) | 4 days ago87% |
Declines ODDS (%) | 23 days ago81% |
BollingerBands ODDS (%) | 2 days ago80% |
Aroon ODDS (%) | 2 days ago80% |
A.I.dvisor indicates that over the last year, IFRA has been closely correlated with CAT. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if IFRA jumps, then CAT could also see price increases.
Ticker / NAME | Correlation To IFRA | 1D Price Change % | ||
---|---|---|---|---|
IFRA | 100% | -1.07% | ||
CAT - IFRA | 77% Closely correlated | -1.08% | ||
AVNT - IFRA | 76% Closely correlated | -3.98% | ||
MDU - IFRA | 75% Closely correlated | -1.80% | ||
MLI - IFRA | 73% Closely correlated | -2.84% | ||
KNF - IFRA | 73% Closely correlated | -5.19% | ||
More |
A.I.dvisor tells us that OBOR and ZIM have been poorly correlated (+19% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that OBOR and ZIM's prices will move in lockstep.
Ticker / NAME | Correlation To OBOR | 1D Price Change % | ||
---|---|---|---|---|
OBOR | 100% | -1.20% | ||
ZIM - OBOR | 19% Poorly correlated | +5.67% | ||
ICL - OBOR | 10% Poorly correlated | -0.31% | ||
ARBK - OBOR | 7% Poorly correlated | -0.35% | ||
ESLT - OBOR | 5% Poorly correlated | +5.43% | ||
AC - OBOR | 0% Poorly correlated | -0.48% | ||
More |