BATT | DMAT | BATT / DMAT | |
Gain YTD | 24.091 | 47.040 | 51% |
Net Assets | 66.9M | 5.53M | 1,211% |
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 ago75% |
Stochastic ODDS (%) | 2 days ago82% | 2 days ago87% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago90% |
MACD ODDS (%) | 2 days ago90% | 2 days ago78% |
TrendWeek ODDS (%) | 2 days ago89% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago81% |
Advances ODDS (%) | 8 days ago89% | 8 days ago82% |
Declines ODDS (%) | 17 days ago90% | 17 days ago84% |
BollingerBands ODDS (%) | N/A | 2 days ago90% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago81% |
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% | -1.71% | ||
ALB - BATT | 70% Closely correlated | -1.05% | ||
SQM - BATT | 68% Closely correlated | +1.33% | ||
BHP - BATT | 63% Loosely correlated | -0.61% | ||
LAC - BATT | 60% Loosely correlated | -2.45% | ||
SGML - BATT | 59% Loosely correlated | +0.17% | ||
More |
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% | -2.44% | ||
ALB - DMAT | 17% Poorly correlated | -1.05% | ||
AMS - DMAT | 12% Poorly correlated | +1.59% | ||
AMG - DMAT | 9% Poorly correlated | +1.04% | ||
NIC - DMAT | 6% Poorly correlated | +1.21% | ||
LAC - DMAT | 6% Poorly correlated | -2.45% | ||
More |