BATT | DMAT | BATT / DMAT | |
Gain YTD | 41.477 | 65.727 | 63% |
Net Assets | 74.4M | 7.22M | 1,030% |
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 (%) | 2 days ago87% | 2 days ago73% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago81% |
Momentum ODDS (%) | N/A | N/A |
MACD ODDS (%) | 2 days ago89% | 2 days ago87% |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago81% |
Advances ODDS (%) | 2 days ago89% | 2 days ago83% |
Declines ODDS (%) | N/A | 9 days ago84% |
BollingerBands ODDS (%) | 2 days ago78% | 2 days ago74% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago82% |
A.I.dvisor indicates that over the last year, BATT has been closely correlated with ALB. These tickers have moved in lockstep 68% 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% | +1.06% | ||
ALB - BATT | 68% Closely correlated | +3.98% | ||
SQM - BATT | 65% Loosely correlated | +1.69% | ||
BHP - BATT | 59% Loosely correlated | +4.09% | ||
SGML - BATT | 57% Loosely correlated | +9.92% | ||
NIO - BATT | 54% Loosely correlated | +4.92% | ||
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A.I.dvisor tells us that DMAT and ALB have been poorly correlated (+17% 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% | +1.93% | ||
ALB - DMAT | 17% Poorly correlated | +3.98% | ||
AMS - DMAT | 10% Poorly correlated | +19.22% | ||
LAC - DMAT | 8% Poorly correlated | +22.63% | ||
AMG - DMAT | 7% Poorly correlated | +0.18% | ||
EAF - DMAT | 6% Poorly correlated | +1.89% | ||
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