XYZ | ||
---|---|---|
OUTLOOK RATING 1..100 | 28 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 61 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 57 | |
PRICE GROWTH RATING 1..100 | 49 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 30 |
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 (%) | N/A | N/A |
Stochastic ODDS (%) | 3 days ago80% | 3 days ago77% |
Momentum ODDS (%) | 3 days ago80% | 3 days ago87% |
MACD ODDS (%) | 3 days ago85% | 3 days ago79% |
TrendWeek ODDS (%) | 3 days ago87% | 3 days ago76% |
TrendMonth ODDS (%) | 3 days ago78% | 3 days ago84% |
Advances ODDS (%) | 5 days ago85% | 6 days ago76% |
Declines ODDS (%) | 3 days ago78% | 4 days ago81% |
BollingerBands ODDS (%) | 3 days ago90% | 3 days ago73% |
Aroon ODDS (%) | 3 days ago86% | 3 days ago88% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
COIG | 35.88 | 1.04 | +2.99% |
Leverage Shares 2X Long COIN Daily ETF | |||
CAOS | 90.30 | 0.14 | +0.16% |
Alpha Architect Tail Risk ETF | |||
BTA | 9.46 | -0.04 | -0.42% |
Blackrock Long-Term Municipal Advantage Trust | |||
GUNR | 43.55 | -0.35 | -0.80% |
FlexShares Mstar Glbl Upstrm Nat Res ETF | |||
MCH | 28.94 | -0.24 | -0.82% |
Matthews China Active ETF |
A.I.dvisor tells us that MID and XYZ have been poorly correlated (+22% 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% | -0.10% | ||
XYZ - MID | 22% Poorly correlated | +0.89% | ||
VRSN - MID | 12% Poorly correlated | +1.92% | ||
DT - MID | 10% Poorly correlated | +1.63% | ||
MKTX - MID | 10% Poorly correlated | +0.11% | ||
FIVN - MID | 10% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, XYZ has been closely correlated with COIN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if XYZ jumps, then COIN could also see price increases.
Ticker / NAME | Correlation To XYZ | 1D Price Change % | ||
---|---|---|---|---|
XYZ | 100% | +0.89% | ||
COIN - XYZ | 72% Closely correlated | +1.75% | ||
CLSK - XYZ | 67% Closely correlated | -2.33% | ||
RIOT - XYZ | 62% Loosely correlated | +2.46% | ||
AFRM - XYZ | 56% Loosely correlated | -1.69% | ||
DBX - XYZ | 56% Loosely correlated | +2.55% | ||
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