GMET | VAW | GMET / VAW | |
Gain YTD | 45.864 | 7.858 | 584% |
Net Assets | 24.3M | 4.12B | 1% |
Total Expense Ratio | 0.61 | 0.09 | 678% |
Turnover | 20.00 | 12.00 | 167% |
Yield | 1.46 | 1.60 | 91% |
Fund Existence | 4 years | 22 years | - |
GMET | VAW | |
---|---|---|
RSI ODDS (%) | 2 days ago87% | 2 days ago89% |
Stochastic ODDS (%) | 2 days ago87% | 2 days ago87% |
Momentum ODDS (%) | N/A | 2 days ago83% |
MACD ODDS (%) | 2 days ago82% | 2 days ago82% |
TrendWeek ODDS (%) | 2 days ago86% | 2 days ago82% |
TrendMonth ODDS (%) | 2 days ago82% | 2 days ago80% |
Advances ODDS (%) | 2 days ago85% | 5 days ago87% |
Declines ODDS (%) | 9 days ago89% | 2 days ago84% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago84% | 2 days ago85% |
A.I.dvisor tells us that GMET and SQM have been poorly correlated (+15% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GMET and SQM's prices will move in lockstep.
Ticker / NAME | Correlation To GMET | 1D Price Change % | ||
---|---|---|---|---|
GMET | 100% | +1.33% | ||
SQM - GMET | 15% Poorly correlated | -0.49% | ||
LAR - GMET | 14% Poorly correlated | -7.81% | ||
ALB - GMET | 13% Poorly correlated | +3.85% | ||
SGML - GMET | 12% Poorly correlated | -2.36% | ||
AAL - GMET | 11% Poorly correlated | -0.70% | ||
More |
A.I.dvisor indicates that over the last year, VAW has been closely correlated with DD. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if VAW jumps, then DD could also see price increases.