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A.I.dvisor tells us that LITM and SGML have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LITM and SGML's prices will move in lockstep.
Ticker / NAME | Correlation To LITM | 1D Price Change % | ||
---|---|---|---|---|
LITM | 100% | -9.18% | ||
SGML - LITM | 29% Poorly correlated | +1.32% | ||
UROY - LITM | 27% Poorly correlated | -1.75% | ||
GSM - LITM | 23% Poorly correlated | -2.87% | ||
XPL - LITM | 23% Poorly correlated | -1.12% | ||
LGO - LITM | 22% Poorly correlated | +2.34% | ||
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A.I.dvisor indicates that over the last year, SKE has been loosely correlated with VZLA. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if SKE jumps, then VZLA could also see price increases.
Ticker / NAME | Correlation To SKE | 1D Price Change % | ||
---|---|---|---|---|
SKE | 100% | -3.65% | ||
VZLA - SKE | 38% Loosely correlated | -3.02% | ||
IE - SKE | 36% Loosely correlated | -0.51% | ||
USAS - SKE | 35% Loosely correlated | -3.25% | ||
SCCO - SKE | 35% Loosely correlated | +0.15% | ||
ERO - SKE | 35% Loosely correlated | -0.47% | ||
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