IPOS | VIGI | IPOS / VIGI | |
Gain YTD | 37.672 | 12.899 | 292% |
Net Assets | 5.01M | 8.88B | 0% |
Total Expense Ratio | 0.80 | 0.10 | 800% |
Turnover | 81.00 | 18.00 | 450% |
Yield | 1.07 | 1.84 | 58% |
Fund Existence | 11 years | 10 years | - |
IPOS | VIGI | |
---|---|---|
RSI ODDS (%) | 3 days ago81% | 4 days ago79% |
Stochastic ODDS (%) | 3 days ago85% | 3 days ago74% |
Momentum ODDS (%) | 3 days ago79% | 3 days ago70% |
MACD ODDS (%) | 3 days ago78% | 3 days ago84% |
TrendWeek ODDS (%) | 3 days ago77% | 3 days ago80% |
TrendMonth ODDS (%) | 3 days ago81% | 3 days ago74% |
Advances ODDS (%) | 17 days ago74% | 3 days ago79% |
Declines ODDS (%) | 4 days ago86% | 6 days ago80% |
BollingerBands ODDS (%) | 3 days ago86% | 6 days ago74% |
Aroon ODDS (%) | 3 days ago83% | 3 days ago74% |
A.I.dvisor tells us that IPOS and SPG have been poorly correlated (+28% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that IPOS and SPG's prices will move in lockstep.
Ticker / NAME | Correlation To IPOS | 1D Price Change % | ||
---|---|---|---|---|
IPOS | 100% | +2.31% | ||
SPG - IPOS | 28% Poorly correlated | +0.40% | ||
ARIS - IPOS | 13% Poorly correlated | -1.04% | ||
BPPTU - IPOS | 0% Poorly correlated | +7.99% |
A.I.dvisor indicates that over the last year, VIGI has been closely correlated with BN. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if VIGI jumps, then BN could also see price increases.
Ticker / NAME | Correlation To VIGI | 1D Price Change % | ||
---|---|---|---|---|
VIGI | 100% | +0.35% | ||
BN - VIGI | 69% Closely correlated | -0.08% | ||
SAN - VIGI | 65% Loosely correlated | -0.52% | ||
SAP - VIGI | 64% Loosely correlated | -1.10% | ||
BAM - VIGI | 60% Loosely correlated | -1.25% | ||
L - VIGI | 54% Loosely correlated | -0.91% | ||
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