KRE | STEW | KRE / STEW | |
Gain YTD | 9.926 | 18.712 | 53% |
Net Assets | 4.31B | 2.2B | 196% |
Total Expense Ratio | 0.35 | 2.28 | 15% |
Turnover | 51.00 | 7.00 | 729% |
Yield | 2.39 | 0.17 | 1,406% |
Fund Existence | 19 years | 53 years | - |
KRE | STEW | |
---|---|---|
RSI ODDS (%) | 3 days ago88% | 3 days ago74% |
Stochastic ODDS (%) | 3 days ago85% | 3 days ago70% |
Momentum ODDS (%) | 3 days ago85% | 3 days ago85% |
MACD ODDS (%) | 3 days ago85% | 3 days ago81% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago85% |
TrendMonth ODDS (%) | 3 days ago87% | 3 days ago84% |
Advances ODDS (%) | 4 days ago88% | 4 days ago87% |
Declines ODDS (%) | 6 days ago87% | 18 days ago73% |
BollingerBands ODDS (%) | 3 days ago87% | 3 days ago71% |
Aroon ODDS (%) | 3 days ago88% | 3 days ago83% |
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% | -0.54% | ||
JPM - STEW | 73% Closely correlated | -3.11% | ||
CSCO - STEW | 61% Loosely correlated | -1.60% | ||
SWK - STEW | 57% Loosely correlated | +4.92% | ||
EPD - STEW | 53% Loosely correlated | -0.41% | ||
MSFT - STEW | 51% Loosely correlated | -2.55% | ||
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