BATT | GMET | BATT / GMET | |
Gain YTD | 48.295 | 56.553 | 85% |
Net Assets | 80.1M | 25.8M | 310% |
Total Expense Ratio | 0.59 | 0.61 | 97% |
Turnover | 69.00 | 20.00 | 345% |
Yield | 2.16 | 1.24 | 175% |
Fund Existence | 7 years | 4 years | - |
BATT | GMET | |
---|---|---|
RSI ODDS (%) | 2 days ago87% | N/A |
Stochastic ODDS (%) | N/A | 7 days ago80% |
Momentum ODDS (%) | N/A | N/A |
MACD ODDS (%) | 2 days ago82% | N/A |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago86% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago83% |
Advances ODDS (%) | 6 days ago89% | 3 days ago85% |
Declines ODDS (%) | 2 days ago89% | 21 days ago90% |
BollingerBands ODDS (%) | 2 days ago86% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago84% |
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% | -0.15% | ||
SQM - GMET | 15% Poorly correlated | +0.51% | ||
SGML - GMET | 13% Poorly correlated | -0.13% | ||
ALB - GMET | 12% Poorly correlated | -1.63% | ||
AAL - GMET | 10% Poorly correlated | -1.44% | ||
TECK - GMET | 6% Poorly correlated | -1.49% | ||
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