IPOS | VIGI | IPOS / VIGI | |
Gain YTD | 30.428 | 11.086 | 274% |
Net Assets | 4.74M | 8.49B | 0% |
Total Expense Ratio | 0.80 | 0.10 | 800% |
Turnover | 81.00 | 18.00 | 450% |
Yield | 1.15 | 1.91 | 60% |
Fund Existence | 11 years | 9 years | - |
IPOS | VIGI | |
---|---|---|
RSI ODDS (%) | 4 days ago70% | 4 days ago72% |
Stochastic ODDS (%) | 4 days ago89% | 4 days ago74% |
Momentum ODDS (%) | 4 days ago86% | 4 days ago75% |
MACD ODDS (%) | 4 days ago81% | 4 days ago70% |
TrendWeek ODDS (%) | 4 days ago77% | 4 days ago79% |
TrendMonth ODDS (%) | 4 days ago81% | 4 days ago77% |
Advances ODDS (%) | 4 days ago74% | 4 days ago79% |
Declines ODDS (%) | 11 days ago86% | 11 days ago79% |
BollingerBands ODDS (%) | 4 days ago85% | 4 days ago82% |
Aroon ODDS (%) | 4 days ago82% | 4 days ago74% |
A.I.dvisor tells us that IPOS and SPG have been poorly correlated (+29% 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% | +0.19% | ||
SPG - IPOS | 29% Poorly correlated | -0.85% | ||
ARIS - IPOS | 16% Poorly correlated | -0.67% | ||
BPPTU - IPOS | 0% Poorly correlated | +11.80% |
A.I.dvisor indicates that over the last year, VIGI has been closely correlated with BN. These tickers have moved in lockstep 70% 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% | +0.38% | ||
BN - VIGI | 70% Closely correlated | -0.29% | ||
SAP - VIGI | 67% Closely correlated | -1.13% | ||
SAN - VIGI | 65% Loosely correlated | +2.53% | ||
BAM - VIGI | 60% Loosely correlated | +0.61% | ||
OTEX - VIGI | 56% Loosely correlated | +9.84% | ||
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