IWP | MID | IWP / MID | |
Gain YTD | 5.317 | 4.951 | 107% |
Net Assets | 18.5B | 83.4M | 22,182% |
Total Expense Ratio | 0.23 | 0.45 | 51% |
Turnover | 35.00 | 68.00 | 51% |
Yield | 0.37 | 0.17 | 218% |
Fund Existence | 24 years | 5 years | - |
IWP | MID | |
---|---|---|
RSI ODDS (%) | 3 days ago78% | 3 days ago73% |
Stochastic ODDS (%) | 3 days ago82% | 3 days ago78% |
Momentum ODDS (%) | 3 days ago86% | 3 days ago82% |
MACD ODDS (%) | 3 days ago83% | 3 days ago71% |
TrendWeek ODDS (%) | 3 days ago82% | 3 days ago81% |
TrendMonth ODDS (%) | 3 days ago81% | 3 days ago84% |
Advances ODDS (%) | 5 days ago87% | 4 days ago86% |
Declines ODDS (%) | 3 days ago82% | 6 days ago77% |
BollingerBands ODDS (%) | 4 days ago72% | 3 days ago85% |
Aroon ODDS (%) | 3 days ago84% | 3 days ago86% |
A.I.dvisor indicates that over the last year, IWP has been closely correlated with APO. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if IWP jumps, then APO could also see price increases.
A.I.dvisor tells us that MID and XYZ have been poorly correlated (+15% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that MID and XYZ's prices will move in lockstep.
Ticker / NAME | Correlation To MID | 1D Price Change % | ||
---|---|---|---|---|
MID | 100% | -1.74% | ||
XYZ - MID | 15% Poorly correlated | -3.57% | ||
ANSS - MID | 15% Poorly correlated | -1.60% | ||
KEYS - MID | 14% Poorly correlated | -2.35% | ||
ALGN - MID | 14% Poorly correlated | -2.11% | ||
TDOC - MID | 12% Poorly correlated | -4.32% | ||
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