BATT | GMET | BATT / GMET | |
Gain YTD | 14.432 | 17.917 | 81% |
Net Assets | 63.9M | 19.6M | 326% |
Total Expense Ratio | 0.59 | 0.61 | 97% |
Turnover | 69.00 | 20.00 | 345% |
Yield | 2.98 | 1.65 | 180% |
Fund Existence | 7 years | 4 years | - |
BATT | GMET | |
---|---|---|
RSI ODDS (%) | 2 days ago79% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago87% | 2 days ago88% |
Momentum ODDS (%) | 2 days ago87% | 2 days ago90% |
MACD ODDS (%) | 2 days ago89% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago88% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago80% |
Advances ODDS (%) | 2 days ago88% | 17 days ago84% |
Declines ODDS (%) | 18 days ago90% | 3 days ago90% |
BollingerBands ODDS (%) | 2 days ago85% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago85% | 2 days ago85% |
A.I.dvisor indicates that over the last year, GMET has been loosely correlated with LAC. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if GMET jumps, then LAC could also see price increases.
Ticker / NAME | Correlation To GMET | 1D Price Change % | ||
---|---|---|---|---|
GMET | 100% | +0.14% | ||
LAC - GMET | 59% Loosely correlated | +8.82% | ||
MP - GMET | 6% Poorly correlated | +2.92% | ||
SCCO - GMET | 4% Poorly correlated | -0.16% | ||
SQM - GMET | 3% Poorly correlated | +6.71% | ||
AAL - GMET | 3% Poorly correlated | +1.47% | ||
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