CUT | GMET | CUT / GMET | |
Gain YTD | -9.148 | 56.553 | -16% |
Net Assets | 42.3M | 25.8M | 164% |
Total Expense Ratio | 0.74 | 0.61 | 121% |
Turnover | 32.00 | 20.00 | 160% |
Yield | 3.26 | 1.24 | 263% |
Fund Existence | 18 years | 4 years | - |
CUT | GMET | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | N/A |
Stochastic ODDS (%) | 2 days ago90% | 7 days ago80% |
Momentum ODDS (%) | 2 days ago89% | N/A |
MACD ODDS (%) | 2 days ago80% | N/A |
TrendWeek ODDS (%) | 2 days ago80% | 2 days ago86% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago83% |
Advances ODDS (%) | 8 days ago81% | 3 days ago85% |
Declines ODDS (%) | 2 days ago81% | 21 days ago90% |
BollingerBands ODDS (%) | 2 days ago85% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago76% | 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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