COWZ | GCOW | VYM | |
Gain YTD | 0.221 | 14.181 | 6.283 |
Net Assets | 21.1B | 2.36B | 75.6B |
Total Expense Ratio | 0.49 | 0.60 | 0.06 |
Turnover | 77.00 | 65.00 | 13.00 |
Yield | 1.59 | 2.79 | 2.65 |
Fund Existence | 9 years | 9 years | 19 years |
COWZ | GCOW | VYM | |
---|---|---|---|
RSI ODDS (%) | 2 days ago80% | 2 days ago80% | 2 days ago74% |
Stochastic ODDS (%) | 2 days ago78% | 2 days ago61% | 2 days ago72% |
Momentum ODDS (%) | 2 days ago84% | 2 days ago88% | 2 days ago85% |
MACD ODDS (%) | 2 days ago90% | 2 days ago88% | 2 days ago85% |
TrendWeek ODDS (%) | 2 days ago86% | 2 days ago80% | 2 days ago83% |
TrendMonth ODDS (%) | 2 days ago86% | 2 days ago77% | 2 days ago81% |
Advances ODDS (%) | 6 days ago86% | 7 days ago79% | 6 days ago81% |
Declines ODDS (%) | 21 days ago79% | 16 days ago74% | N/A |
BollingerBands ODDS (%) | 2 days ago85% | 2 days ago66% | 2 days ago77% |
Aroon ODDS (%) | 2 days ago84% | 2 days ago84% | 2 days ago79% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
DWCR | 33.87 | N/A | N/A |
Arrow DWA Tactical International ETF | |||
FXB | 130.83 | -0.18 | -0.13% |
Invesco CcyShrs® British Pound Stlg | |||
CMSA | 21.57 | -0.08 | -0.37% |
CMS Energy Corp | |||
QDPL | 39.65 | -0.20 | -0.50% |
Pacer Metaurus US Lg Cp Dvd Mltp 400 ETF | |||
VSLU | 39.39 | -0.30 | -0.76% |
Applied Finance Valuation LgCp ETF |
A.I.dvisor indicates that over the last year, COWZ has been closely correlated with CAT. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if COWZ jumps, then CAT could also see price increases.
Ticker / NAME | Correlation To COWZ | 1D Price Change % | ||
---|---|---|---|---|
COWZ | 100% | -0.76% | ||
CAT - COWZ | 81% Closely correlated | -1.60% | ||
EMR - COWZ | 78% Closely correlated | -0.97% | ||
FTV - COWZ | 78% Closely correlated | -0.09% | ||
WAB - COWZ | 75% Closely correlated | -0.59% | ||
SLB - COWZ | 75% Closely correlated | -1.96% | ||
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A.I.dvisor indicates that over the last year, GCOW has been closely correlated with SHEL. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if GCOW jumps, then SHEL could also see price increases.
Ticker / NAME | Correlation To GCOW | 1D Price Change % | ||
---|---|---|---|---|
GCOW | 100% | -1.68% | ||
SHEL - GCOW | 70% Closely correlated | -2.92% | ||
BHP - GCOW | 66% Loosely correlated | -2.24% | ||
KMI - GCOW | 65% Loosely correlated | -0.28% | ||
BN - GCOW | 64% Loosely correlated | -2.12% | ||
TS - GCOW | 64% Loosely correlated | -0.89% | ||
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A.I.dvisor indicates that over the last year, VYM has been closely correlated with TFC. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if VYM jumps, then TFC could also see price increases.
Ticker / NAME | Correlation To VYM | 1D Price Change % | ||
---|---|---|---|---|
VYM | 100% | -0.01% | ||
TFC - VYM | 76% Closely correlated | +0.53% | ||
HBAN - VYM | 75% Closely correlated | -0.34% | ||
RF - VYM | 75% Closely correlated | +0.37% | ||
APAM - VYM | 75% Closely correlated | +0.50% | ||
TKR - VYM | 74% Closely correlated | +1.88% | ||
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