BATT | GMET | BATT / GMET | |
Gain YTD | 27.466 | 32.388 | 85% |
Net Assets | 68.6M | 22.1M | 310% |
Total Expense Ratio | 0.59 | 0.61 | 97% |
Turnover | 69.00 | 20.00 | 345% |
Yield | 2.51 | 1.46 | 172% |
Fund Existence | 7 years | 4 years | - |
BATT | GMET | |
---|---|---|
RSI ODDS (%) | 4 days ago80% | 4 days ago90% |
Stochastic ODDS (%) | 4 days ago87% | 4 days ago90% |
Momentum ODDS (%) | 4 days ago87% | 4 days ago90% |
MACD ODDS (%) | 4 days ago87% | 4 days ago90% |
TrendWeek ODDS (%) | 4 days ago88% | 4 days ago86% |
TrendMonth ODDS (%) | 4 days ago85% | 4 days ago82% |
Advances ODDS (%) | 11 days ago89% | 4 days ago84% |
Declines ODDS (%) | 20 days ago90% | 13 days ago90% |
BollingerBands ODDS (%) | N/A | 4 days ago89% |
Aroon ODDS (%) | 4 days ago87% | 4 days ago84% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with ALB. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then ALB could also see price increases.
Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
---|---|---|---|---|
BATT | 100% | +2.72% | ||
ALB - BATT | 70% Closely correlated | +2.86% | ||
SQM - BATT | 68% Closely correlated | +3.62% | ||
BHP - BATT | 63% Loosely correlated | +0.07% | ||
LAC - BATT | 60% Loosely correlated | +3.58% | ||
SGML - BATT | 59% Loosely correlated | +6.46% | ||
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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% | +2.06% | ||
SQM - GMET | 15% Poorly correlated | +3.62% | ||
ALB - GMET | 13% Poorly correlated | +2.86% | ||
AAL - GMET | 11% Poorly correlated | +1.71% | ||
LAR - GMET | 11% Poorly correlated | +6.01% | ||
SGML - GMET | 10% Poorly correlated | +6.46% | ||
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