KCE | PFI | KCE / PFI | |
Gain YTD | -13.255 | -9.375 | 141% |
Net Assets | 485M | 64M | 758% |
Total Expense Ratio | 0.35 | 0.60 | 58% |
Turnover | 23.00 | 138.00 | 17% |
Yield | 1.72 | 2.96 | 58% |
Fund Existence | 19 years | 18 years | - |
KCE | PFI | |
---|---|---|
RSI ODDS (%) | 2 days ago87% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago87% |
Momentum ODDS (%) | 2 days ago88% | 2 days ago90% |
MACD ODDS (%) | 2 days ago87% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago79% | 2 days ago78% |
TrendMonth ODDS (%) | 2 days ago77% | 2 days ago76% |
Advances ODDS (%) | 2 days ago86% | 2 days ago87% |
Declines ODDS (%) | 7 days ago79% | 7 days ago78% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago79% | 2 days ago80% |
A.I.dvisor indicates that over the last year, KCE has been closely correlated with PIPR. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if KCE jumps, then PIPR could also see price increases.
A.I.dvisor indicates that over the last year, PFI has been closely correlated with AMP. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if PFI jumps, then AMP could also see price increases.
Ticker / NAME | Correlation To PFI | 1D Price Change % | ||
---|---|---|---|---|
PFI | 100% | -5.07% | ||
AMP - PFI | 86% Closely correlated | -7.80% | ||
PIPR - PFI | 84% Closely correlated | -11.17% | ||
PFG - PFI | 81% Closely correlated | -7.97% | ||
JXN - PFI | 78% Closely correlated | -12.82% | ||
ENVA - PFI | 78% Closely correlated | -11.10% | ||
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