IYW | WFH | IYW / WFH | |
Gain YTD | 23.769 | 14.418 | 165% |
Net Assets | 21.1B | 14.5M | 145,517% |
Total Expense Ratio | 0.38 | 0.45 | 84% |
Turnover | 7.00 | N/A | - |
Yield | 0.15 | 1.05 | 14% |
Fund Existence | 25 years | 5 years | - |
IYW | WFH | |
---|---|---|
RSI ODDS (%) | 2 days ago82% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago89% | 2 days ago82% |
Momentum ODDS (%) | 2 days ago82% | 2 days ago88% |
MACD ODDS (%) | 2 days ago82% | 2 days ago88% |
TrendWeek ODDS (%) | 2 days ago89% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago89% | 2 days ago84% |
Advances ODDS (%) | 17 days ago88% | 4 days ago86% |
Declines ODDS (%) | 9 days ago82% | 19 days ago82% |
BollingerBands ODDS (%) | 2 days ago79% | 2 days ago89% |
Aroon ODDS (%) | 2 days ago90% | 2 days ago86% |
A.I.dvisor indicates that over the last year, IYW has been loosely correlated with MKSI. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if IYW jumps, then MKSI could also see price increases.
Ticker / NAME | Correlation To IYW | 1D Price Change % | ||
---|---|---|---|---|
IYW | 100% | +0.35% | ||
MKSI - IYW | 65% Loosely correlated | -0.89% | ||
NXPI - IYW | 63% Loosely correlated | -1.41% | ||
POWI - IYW | 58% Loosely correlated | -3.30% | ||
FICO - IYW | 55% Loosely correlated | -0.26% | ||
ANET - IYW | 54% Loosely correlated | -1.99% | ||
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A.I.dvisor tells us that WFH and MOMO have been poorly correlated (+8% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that WFH and MOMO's prices will move in lockstep.
Ticker / NAME | Correlation To WFH | 1D Price Change % | ||
---|---|---|---|---|
WFH | 100% | +0.36% | ||
MOMO - WFH | 8% Poorly correlated | N/A | ||
LAES - WFH | 8% Poorly correlated | +4.87% | ||
BOX - WFH | 8% Poorly correlated | +0.46% | ||
GOOGL - WFH | 7% Poorly correlated | +0.73% | ||
API - WFH | 7% Poorly correlated | -1.14% | ||
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