MNA | SPAX | MNA / SPAX | |
Gain YTD | 4.712 | 3.950 | 119% |
Net Assets | 219M | 7.63M | 2,869% |
Total Expense Ratio | N/A | N/A | - |
Turnover | 367.00 | 76.00 | 483% |
Yield | 1.20 | 6.56 | 18% |
Fund Existence | 15 years | 3 years | - |
MNA | SPAX | |
---|---|---|
RSI ODDS (%) | 2 days ago70% | N/A |
Stochastic ODDS (%) | 2 days ago60% | 2 days ago57% |
Momentum ODDS (%) | 2 days ago49% | 2 days ago66% |
MACD ODDS (%) | 2 days ago52% | 2 days ago72% |
TrendWeek ODDS (%) | 2 days ago55% | 2 days ago66% |
TrendMonth ODDS (%) | 2 days ago55% | 2 days ago73% |
Advances ODDS (%) | 2 days ago55% | 7 days ago62% |
Declines ODDS (%) | 6 days ago57% | 22 days ago16% |
BollingerBands ODDS (%) | 2 days ago57% | 2 days ago26% |
Aroon ODDS (%) | N/A | 2 days ago65% |
A.I.dvisor indicates that over the last year, MNA has been loosely correlated with LXP. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if MNA jumps, then LXP could also see price increases.
A.I.dvisor tells us that SPAX and PPYA have been poorly correlated (+16% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SPAX and PPYA's prices will move in lockstep.
Ticker / NAME | Correlation To SPAX | 1D Price Change % | ||
---|---|---|---|---|
SPAX | 100% | N/A | ||
PPYA - SPAX | 16% Poorly correlated | N/A | ||
BYNO - SPAX | 10% Poorly correlated | -0.04% | ||
WTMA - SPAX | 8% Poorly correlated | N/A | ||
CMCAF - SPAX | 7% Poorly correlated | +0.09% | ||
PLMJ - SPAX | 6% Poorly correlated | +0.36% | ||
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