CZA | SPMD | CZA / SPMD | |
Gain YTD | 4.283 | 5.796 | 74% |
Net Assets | 182M | 14.4B | 1% |
Total Expense Ratio | 0.69 | 0.03 | 2,300% |
Turnover | 112.00 | 20.00 | 560% |
Yield | 1.21 | 1.39 | 87% |
Fund Existence | 18 years | 20 years | - |
CZA | SPMD | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago83% | 2 days ago83% |
Momentum ODDS (%) | 2 days ago72% | 4 days ago86% |
MACD ODDS (%) | 2 days ago79% | 2 days ago82% |
TrendWeek ODDS (%) | 2 days ago75% | 2 days ago84% |
TrendMonth ODDS (%) | 2 days ago81% | 2 days ago81% |
Advances ODDS (%) | 14 days ago81% | 14 days ago84% |
Declines ODDS (%) | 3 days ago73% | 2 days ago83% |
BollingerBands ODDS (%) | 2 days ago83% | 2 days ago87% |
Aroon ODDS (%) | 2 days ago81% | 2 days ago81% |
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, SPMD has been closely correlated with EVR. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMD jumps, then EVR could also see price increases.
Ticker / NAME | Correlation To SPMD | 1D Price Change % | ||
---|---|---|---|---|
SPMD | 100% | -0.10% | ||
EVR - SPMD | 86% Closely correlated | +0.81% | ||
JHG - SPMD | 86% Closely correlated | +0.29% | ||
BDC - SPMD | 86% Closely correlated | -2.12% | ||
SF - SPMD | 85% Closely correlated | +0.94% | ||
WTFC - SPMD | 84% Closely correlated | +0.93% | ||
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