XYZ | ||
---|---|---|
OUTLOOK RATING 1..100 | 85 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 61 | |
PRICE GROWTH RATING 1..100 | 43 | |
P/E GROWTH RATING 1..100 | 98 | |
SEASONALITY SCORE 1..100 | 90 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
MID | XYZ | |
---|---|---|
RSI ODDS (%) | 7 days ago82% | 3 days ago73% |
Stochastic ODDS (%) | 3 days ago80% | 3 days ago73% |
Momentum ODDS (%) | 3 days ago82% | 3 days ago76% |
MACD ODDS (%) | 7 days ago63% | 3 days ago83% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago77% |
TrendMonth ODDS (%) | 3 days ago84% | 3 days ago81% |
Advances ODDS (%) | 5 days ago85% | 5 days ago77% |
Declines ODDS (%) | 3 days ago78% | 3 days ago81% |
BollingerBands ODDS (%) | N/A | 3 days ago83% |
Aroon ODDS (%) | 3 days ago87% | 3 days ago80% |
1 Day | |||
---|---|---|---|
MFs / NAME | Price $ | Chg $ | Chg % |
CNPSX | 66.85 | 0.10 | +0.15% |
Consumer Staples UltraSector ProFund Svc | |||
FCNAX | 48.12 | -0.12 | -0.25% |
Fidelity Advisor Consumer Discret A | |||
PCAOX | 85.17 | -0.22 | -0.26% |
Principal Capital Appreciation R3 | |||
VCAAX | 12.41 | -0.04 | -0.32% |
VALIC Company I Asset Allocation | |||
DMIDX | 28.68 | -0.16 | -0.55% |
BNY Mellon MidCap Index I |
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% | -0.01% | ||
XYZ - MID | 15% Poorly correlated | -0.32% | ||
ALGN - MID | 11% Poorly correlated | -0.31% | ||
VRSN - MID | 10% Poorly correlated | +1.15% | ||
MKTX - MID | 9% Poorly correlated | +1.28% | ||
EHC - MID | 8% Poorly correlated | +0.61% | ||
More |
A.I.dvisor indicates that over the last year, XYZ has been loosely correlated with DBX. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if XYZ jumps, then DBX could also see price increases.
Ticker / NAME | Correlation To XYZ | 1D Price Change % | ||
---|---|---|---|---|
XYZ | 100% | -0.32% | ||
DBX - XYZ | 56% Loosely correlated | +0.32% | ||
SHOP - XYZ | 55% Loosely correlated | N/A | ||
AFRM - XYZ | 55% Loosely correlated | +2.21% | ||
GDDY - XYZ | 54% Loosely correlated | +1.84% | ||
PATH - XYZ | 53% Loosely correlated | +2.14% | ||
More |