CZA | SCHM | CZA / SCHM | |
Gain YTD | 4.200 | 7.570 | 55% |
Net Assets | 180M | 12.1B | 1% |
Total Expense Ratio | 0.69 | 0.04 | 1,725% |
Turnover | 112.00 | 13.00 | 862% |
Yield | 1.20 | 1.43 | 84% |
Fund Existence | 19 years | 15 years | - |
CZA | SCHM | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 3 days ago82% | 3 days ago87% |
Momentum ODDS (%) | 3 days ago72% | 3 days ago80% |
MACD ODDS (%) | 3 days ago73% | 3 days ago75% |
TrendWeek ODDS (%) | 3 days ago81% | 3 days ago84% |
TrendMonth ODDS (%) | 3 days ago74% | 3 days ago79% |
Advances ODDS (%) | 5 days ago81% | 5 days ago82% |
Declines ODDS (%) | 10 days ago72% | 10 days ago80% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago90% |
Aroon ODDS (%) | N/A | 3 days ago79% |
A.I.dvisor tells us that CZA and FMC have been poorly correlated (+23% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CZA and FMC's prices will move in lockstep.
A.I.dvisor indicates that over the last year, SCHM has been loosely correlated with STLD. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SCHM jumps, then STLD could also see price increases.
Ticker / NAME | Correlation To SCHM | 1D Price Change % | ||
---|---|---|---|---|
SCHM | 100% | +0.10% | ||
STLD - SCHM | 55% Loosely correlated | +0.07% | ||
PTC - SCHM | 54% Loosely correlated | +0.43% | ||
DKNG - SCHM | 52% Loosely correlated | -3.10% | ||
NTAP - SCHM | 42% Loosely correlated | -0.28% | ||
WDC - SCHM | 41% Loosely correlated | +0.22% | ||
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