LIT | PHO | LIT / PHO | |
Gain YTD | -7.798 | 5.663 | -138% |
Net Assets | 831M | 2.16B | 38% |
Total Expense Ratio | 0.75 | 0.59 | 127% |
Turnover | 22.87 | 39.00 | 59% |
Yield | 1.04 | 0.49 | 213% |
Fund Existence | 15 years | 20 years | - |
LIT | PHO | |
---|---|---|
RSI ODDS (%) | 1 day ago89% | 1 day ago82% |
Stochastic ODDS (%) | 1 day ago88% | 1 day ago76% |
Momentum ODDS (%) | 1 day ago84% | 1 day ago90% |
MACD ODDS (%) | 1 day ago84% | 1 day ago84% |
TrendWeek ODDS (%) | 1 day ago86% | 1 day ago85% |
TrendMonth ODDS (%) | 1 day ago87% | 1 day ago85% |
Advances ODDS (%) | 2 days ago86% | 3 days ago87% |
Declines ODDS (%) | 11 days ago89% | 1 day ago81% |
BollingerBands ODDS (%) | 1 day ago81% | 1 day ago77% |
Aroon ODDS (%) | 1 day ago89% | 1 day ago83% |
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.
A.I.dvisor indicates that over the last year, PHO has been closely correlated with ZWS. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if PHO jumps, then ZWS could also see price increases.