FIW | LIT | FIW / LIT | |
Gain YTD | 12.874 | -14.169 | -91% |
Net Assets | 1.85B | 1.18B | 156% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 17.00 | 19.76 | 86% |
Yield | 0.63 | 1.25 | 51% |
Fund Existence | 18 years | 14 years | - |
FIW | LIT | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | N/A |
Stochastic ODDS (%) | 2 days ago88% | 2 days ago80% |
Momentum ODDS (%) | 2 days ago77% | 2 days ago85% |
MACD ODDS (%) | 2 days ago73% | 2 days ago82% |
TrendWeek ODDS (%) | 2 days ago79% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago86% |
Advances ODDS (%) | 10 days ago87% | 7 days ago87% |
Declines ODDS (%) | 2 days ago79% | 2 days ago88% |
BollingerBands ODDS (%) | 2 days ago89% | 2 days ago82% |
Aroon ODDS (%) | N/A | 2 days ago87% |
A.I.dvisor indicates that over the last year, FIW has been closely correlated with FELE. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if FIW jumps, then FELE could also see price increases.
A.I.dvisor indicates that over the last year, LIT has been closely correlated with SQM. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if LIT jumps, then SQM could also see price increases.
Ticker / NAME | Correlation To LIT | 1D Price Change % | ||
---|---|---|---|---|
LIT | 100% | -0.18% | ||
SQM - LIT | 81% Closely correlated | +1.23% | ||
ALB - LIT | 78% Closely correlated | -2.00% | ||
PLL - LIT | 62% Loosely correlated | -6.99% | ||
SGML - LIT | 58% Loosely correlated | -0.43% | ||
TSLA - LIT | 51% Loosely correlated | +3.64% | ||
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