It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
COST’s FA Score shows that 3 FA rating(s) are green while.
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
COST’s TA Score shows that 5 TA indicator(s) are bullish.
COST (@Discount Stores) experienced а +3.02% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Discount Stores industry was +3.22%. For the same industry, the average monthly price growth was +8.62%, and the average quarterly price growth was -4.61%.
COST is expected to report earnings on May 30, 2025.
Companies in the discount stores industry specialize in offering substantial discounts on a vast array of retail products. Some companies in this industry also operate general merchandise warehouse clubs. Products sold at discount stores are typically similar to those of any department store, but the pricing of the goods is generally much lower (and hence the name “discount”). Think Dollar General Corporation, Dollar Tree, Inc. and Five Below, Inc. Many discount stores target low-income households and/or price-sensitive consumers as their potential market. Discount stores’ profitability could hinge on factors like competitive pricing, sufficient locations, healthy revenue per square foot, and effective advertisement. These store operators could have an edge over other retailers during financial crises or recessions, when many consumers could be looking for less expensive alternatives.
COST | ||
---|---|---|
OUTLOOK RATING 1..100 | 12 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 96 Overvalued | |
PROFIT vs RISK RATING 1..100 | 4 | |
SMR RATING 1..100 | 31 | |
PRICE GROWTH RATING 1..100 | 47 | |
P/E GROWTH RATING 1..100 | 24 | |
SEASONALITY SCORE 1..100 | n/a |
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.
COST | SAMT | |
---|---|---|
RSI ODDS (%) | 1 day ago83% | 1 day ago88% |
Stochastic ODDS (%) | 1 day ago32% | 1 day ago86% |
Momentum ODDS (%) | 1 day ago65% | 1 day ago75% |
MACD ODDS (%) | 1 day ago67% | 1 day ago79% |
TrendWeek ODDS (%) | 1 day ago68% | 1 day ago75% |
TrendMonth ODDS (%) | 1 day ago35% | 1 day ago74% |
Advances ODDS (%) | 1 day ago66% | 3 days ago80% |
Declines ODDS (%) | 23 days ago37% | 8 days ago72% |
BollingerBands ODDS (%) | 1 day ago70% | 1 day ago79% |
Aroon ODDS (%) | 1 day ago44% | 1 day ago76% |
A.I.dvisor indicates that over the last year, COST has been loosely correlated with WMT. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if COST jumps, then WMT could also see price increases.
Ticker / NAME | Correlation To COST | 1D Price Change % | ||
---|---|---|---|---|
COST | 100% | +0.21% | ||
WMT - COST | 55% Loosely correlated | -2.79% | ||
OLLI - COST | 30% Poorly correlated | -0.63% | ||
BJ - COST | 27% Poorly correlated | +3.06% | ||
PSMT - COST | 24% Poorly correlated | -2.62% | ||
DLMAF - COST | 20% Poorly correlated | +3.30% | ||
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A.I.dvisor indicates that over the last year, SAMT has been loosely correlated with AMAT. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if SAMT jumps, then AMAT could also see price increases.
Ticker / NAME | Correlation To SAMT | 1D Price Change % | ||
---|---|---|---|---|
SAMT | 100% | -2.99% | ||
AMAT - SAMT | 51% Loosely correlated | -8.28% | ||
LAZ - SAMT | 51% Loosely correlated | -15.08% | ||
COST - SAMT | 48% Loosely correlated | +0.21% | ||
MSFT - SAMT | 43% Loosely correlated | -2.36% | ||
META - SAMT | 39% Loosely correlated | -8.96% | ||
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