EFG | PJIO | EFG / PJIO | |
Gain YTD | 21.215 | 21.968 | 97% |
Net Assets | 9.72B | 27.7M | 35,087% |
Total Expense Ratio | 0.36 | 0.90 | 40% |
Turnover | 22.00 | 36.00 | 61% |
Yield | 1.55 | 0.18 | 870% |
Fund Existence | 20 years | 2 years | - |
EFG | PJIO | |
---|---|---|
RSI ODDS (%) | 3 days ago90% | 3 days ago70% |
Stochastic ODDS (%) | 3 days ago81% | 3 days ago90% |
Momentum ODDS (%) | 3 days ago84% | 3 days ago78% |
MACD ODDS (%) | 3 days ago84% | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago83% | 3 days ago83% |
TrendMonth ODDS (%) | 3 days ago80% | 3 days ago66% |
Advances ODDS (%) | 3 days ago82% | 14 days ago85% |
Declines ODDS (%) | 10 days ago82% | 10 days ago65% |
BollingerBands ODDS (%) | 3 days ago86% | 3 days ago80% |
Aroon ODDS (%) | 3 days ago85% | 3 days ago81% |
A.I.dvisor indicates that over the last year, EFG has been closely correlated with STM. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if EFG jumps, then STM could also see price increases.
A.I.dvisor tells us that PJIO and FERG have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PJIO and FERG's prices will move in lockstep.
Ticker / NAME | Correlation To PJIO | 1D Price Change % | ||
---|---|---|---|---|
PJIO | 100% | +0.04% | ||
FERG - PJIO | 14% Poorly correlated | +0.57% | ||
SAP - PJIO | 10% Poorly correlated | +1.17% | ||
SU - PJIO | 8% Poorly correlated | +0.03% | ||
OR - PJIO | 7% Poorly correlated | -5.85% | ||
MNDY - PJIO | 6% Poorly correlated | +2.62% | ||
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