BATT | DMAT | BATT / DMAT | |
Gain YTD | 32.159 | 54.747 | 59% |
Net Assets | 68.4M | 6.75M | 1,013% |
Total Expense Ratio | 0.59 | 0.59 | 100% |
Turnover | 69.00 | 22.42 | 308% |
Yield | 2.51 | 1.09 | 230% |
Fund Existence | 7 years | 4 years | - |
BATT | DMAT | |
---|---|---|
RSI ODDS (%) | 3 days ago84% | 3 days ago74% |
Stochastic ODDS (%) | 3 days ago85% | 3 days ago85% |
Momentum ODDS (%) | 4 days ago85% | 4 days ago78% |
MACD ODDS (%) | 3 days ago89% | 3 days ago72% |
TrendWeek ODDS (%) | 3 days ago88% | 3 days ago85% |
TrendMonth ODDS (%) | 3 days ago85% | 3 days ago81% |
Advances ODDS (%) | 3 days ago89% | 3 days ago83% |
Declines ODDS (%) | 5 days ago89% | 5 days ago84% |
BollingerBands ODDS (%) | 3 days ago83% | 3 days ago71% |
Aroon ODDS (%) | 3 days ago87% | 3 days ago80% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then BHP could also see price increases.
Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
---|---|---|---|---|
BATT | 100% | +1.22% | ||
BHP - BATT | 72% Closely correlated | -0.26% | ||
ALB - BATT | 69% Closely correlated | +1.79% | ||
SQM - BATT | 66% Closely correlated | -1.50% | ||
LAC - BATT | 60% Loosely correlated | +0.70% | ||
SGML - BATT | 58% Loosely correlated | -0.37% | ||
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A.I.dvisor tells us that DMAT and ALB have been poorly correlated (+19% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that DMAT and ALB's prices will move in lockstep.
Ticker / NAME | Correlation To DMAT | 1D Price Change % | ||
---|---|---|---|---|
DMAT | 100% | +0.61% | ||
ALB - DMAT | 19% Poorly correlated | +1.79% | ||
AMG - DMAT | 9% Poorly correlated | +0.06% | ||
LAC - DMAT | 8% Poorly correlated | +0.70% | ||
LAR - DMAT | 8% Poorly correlated | -3.21% | ||
AMS - DMAT | 7% Poorly correlated | +3.75% | ||
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