KRE | STEW | KRE / STEW | |
Gain YTD | -6.207 | 9.277 | -67% |
Net Assets | 3.1B | 2.06B | 150% |
Total Expense Ratio | 0.35 | 2.28 | 15% |
Turnover | 51.00 | 7.00 | 729% |
Yield | 2.75 | 0.22 | 1,246% |
Fund Existence | 19 years | 53 years | - |
KRE | STEW | |
---|---|---|
RSI ODDS (%) | 3 days ago88% | 3 days ago72% |
Stochastic ODDS (%) | 3 days ago87% | 3 days ago85% |
Momentum ODDS (%) | 3 days ago88% | 3 days ago68% |
MACD ODDS (%) | 3 days ago90% | 3 days ago75% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago72% |
TrendMonth ODDS (%) | 3 days ago88% | 3 days ago72% |
Advances ODDS (%) | 6 days ago88% | about 1 month ago87% |
Declines ODDS (%) | 3 days ago87% | 3 days ago73% |
BollingerBands ODDS (%) | 3 days ago82% | 3 days ago79% |
Aroon ODDS (%) | 3 days ago90% | 3 days ago88% |
A.I.dvisor indicates that over the last year, KRE has been closely correlated with FNB. These tickers have moved in lockstep 97% of the time. This A.I.-generated data suggests there is a high statistical probability that if KRE jumps, then FNB could also see price increases.
A.I.dvisor indicates that over the last year, STEW has been closely correlated with JPM. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if STEW jumps, then JPM could also see price increases.
Ticker / NAME | Correlation To STEW | 1D Price Change % | ||
---|---|---|---|---|
STEW | 100% | -0.75% | ||
JPM - STEW | 73% Closely correlated | -1.23% | ||
CSCO - STEW | 65% Loosely correlated | -1.55% | ||
EPD - STEW | 56% Loosely correlated | +0.28% | ||
SWK - STEW | 56% Loosely correlated | -3.20% | ||
MSFT - STEW | 53% Loosely correlated | -0.82% | ||
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